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ナレッジグラフ市場:提供サービス別(ソリューション、サービス)、データソース別(構造化、非構造化、半構造化)、産業別(BFSI、IT & ITeS、通信、ヘルスケア)、モデルタイプ別、用途別、タイプ別、地域別 - 2028年までの世界予測


Knowledge Graph Market by Offering (Solutions, Services), By Data Source (Structured, Unstructured, Semi-structured), Industry (BFSI, IT & ITeS, Telecom, Healthcare), Model Type, Application, Type and Region - Global Forecast to 2028

MarketsandMarkets社は、ナレッジグラフ市場規模が2023年の9億米ドルから2028年には24億米ドルに成長し、予測期間中の年平均成長率は21.8%になると予測している。組織は、意思決定プロセスを改善し、実用的な洞... もっと見る

 

 

出版社 出版年月 電子版価格 ページ数 図表数 言語
MarketsandMarkets
マーケッツアンドマーケッツ
2023年10月31日 US$4,950
シングルユーザライセンス
ライセンス・価格情報
注文方法はこちら
233 313 英語

日本語のページは自動翻訳を利用し作成しています。


 

サマリー

MarketsandMarkets社は、ナレッジグラフ市場規模が2023年の9億米ドルから2028年には24億米ドルに成長し、予測期間中の年平均成長率は21.8%になると予測している。組織は、意思決定プロセスを改善し、実用的な洞察を得るために、知識の発見と管理にますます重点を置くようになっている。ナレッジグラフは、複雑な情報を整理し、構造化データおよび非構造化データから貴重な知識を抽出するのに役立ち、より多くの情報に基づいた意思決定に貢献する。
"業種別では、IT・ITeS分野が予測期間中に最も高いCAGRで成長する見込みである。"
IT&ITeS分野のナレッジグラフ市場は拡大し、今後数年間で大きく変化することが予想され、データ管理と知識表現における市場の重要な役割を実証しています。ナレッジグラフは、電子商取引、医療、金融などさまざまな業界で、多様なデータを統合し、十分な情報に基づいた意思決定を促進するために不可欠です。これらのグラフは、検索エンジンやレコメンデーションシステムをさらに強化し、ユーザーにより正確でカスタマイズされた結果を提供している。AIシステムやセマンティック技術との統合により、複雑な関係や状況をよりよく理解できるようになった。

"データソース別では、非構造化データセグメントが予測期間中最大の市場規模を維持すると予想される。"
ナレッジグラフ市場が非構造化データソースへの注力を強めている結果、データエンリッチメント、文脈理解、セマンティック分析における研究が大きく進展している。高度な自然言語処理アルゴリズムの適用により、企業はテキストコンテンツ、ソーシャルメディアフィード、カスタマーレビューなど、さまざまな非構造化データソースから重要な洞察を得ることができる。豊富なデータのおかげで、ナレッジグラフはさまざまな分野をより深く統合的に理解することができ、より正確な洞察とカスタマイズされた提案につながります。
"予測期間中、アジア太平洋地域が最も高いCAGRで成長する見込み"
アジア太平洋地域は、ダイナミックな技術環境とデータの複雑化により、ナレッジグラフの急速な普及の温床となっている。データ主導の意思決定が重視され、パーソナライズされた顧客体験のニーズが急増していることから、企業は多様なソースからの複雑なデータセットを管理・分析するソリューションとしてナレッジグラフに注目している。技術の進歩を支援する政府の取り組みがナレッジグラフ市場の成長をさらに後押しし、イノベーションと経済発展を促進している。この地域が最先端技術への投資を続ける中、データ管理を合理化し、洞察に満ちた意思決定を促進するナレッジグラフの可能性は、さまざまな分野の企業や組織にとって、依然として重要な焦点となっている。

主な内訳

本調査には、ソリューションベンダーからティア1企業まで、さまざまな業界専門家による洞察が含まれている。主な内訳は以下の通り:

 企業別:ティア1~20%、ティア2~25%、ティア3~55
 役職別Cレベル・エグゼクティブ-40%、ディレクターレベル-33%、その他-27
 地域別:北米-32%、欧州-38%、APAC-18%、RoW-12
ナレッジグラフ市場の主要プレーヤー IBM(米国)、Microsoft(米国)、AWS(米国)、Neo4j(米国)、TigerGraph(米国)、SAP(ドイツ)、Oracle(米国)、Stardog(米国)、Franz Inc(米国)、Ontotext(ブルガリア)、Semantic Web Company(オーストリア)、OpenLink Software(米国)、MarkLogic(米国)、Datavid(英国)、GraphBase(オーストラリア)、Cambridge Semantics(米国)、CoverSight(米国)、Eccena Gmbh(ドイツ)、ArangoDB(米国)、Fluree(米国)、DiffBot(米国)、Bitnine(米国)、Memgraph(英国)、GraphAware(英国)、Onlim(オーストリア)。これらのプレーヤーは、ナレッジグラフ市場での足跡を拡大するために、パートナーシップ、契約、提携、新製品の発表、製品の強化、買収など、さまざまな成長戦略を採用している。

調査範囲
本レポートでは、ナレッジグラフの世界市場を提供形態別にソリューションとサービスの2つに分類しています。モデルタイプ別では、ナレッジグラフ市場は4つのカテゴリーに分類される:RDFグラフ、概念グラフ、セマンティックグラフ。データソース別では、ナレッジグラフ市場は構造化データ、非構造化データ、半構造化データの3つに大別される。アプリケーション別では、ナレッジグラフ市場はセマンティック検索、質問応答、レコメンデーションシステム、企業ナレッジ管理、その他のアプリケーションに分類される。タイプ別では、ナレッジグラフ市場はコンテキストリッチ型ナレッジグラフ、外部センシング型ナレッジグラフ、NLP型ナレッジグラフの3つに分類される。業種別では、ナレッジグラフ市場はBFSI、小売・Eコマース、製造・自動車、IT・ITES、テレコム、メディア・エンターテインメント、ヘルスケア、政府、その他の業種(教育、研究、不動産)に分類される。地域別では、北米、欧州、アジア太平洋、中東・アフリカ、中南米に区分される。
レポートの主な利点
本レポートは、ナレッジグラフ市場全体とサブセグメントにおける収益数の最も近い近似値に関する情報を提供することで、市場リーダー/新規参入者の助けとなる。本レポートは、利害関係者が競争状況を理解し、自社のビジネスをより良く位置づけ、適切な市場参入戦略を計画するための洞察を得るのに役立つでしょう。本レポートは、利害関係者が市場の鼓動を理解し、主要な市場促進要因、阻害要因、課題、機会に関する情報を提供するのに役立つだろう。
本レポートは、以下のポイントに関する洞察を提供する:

ナレッジグラフ市場の成長に影響を与える主な促進要因(データ量の急増と複雑化、AIとMLが市場成長を促進、セマンティックウェブとリンクデータへの取り組みが市場を後押し)、阻害要因(開発とメンテナンスのコスト)、機会(NLPがナレッジグラフ市場を後押し、ヘルスケアとライフサイエンス分野での採用増加)、課題(データ品質と統合、スケーラビリティ)の分析。

- 製品開発/イノベーション:ナレッジグラフ市場における今後の技術、研究開発活動、新製品・新サービスの発表に関する詳細な洞察。

- 市場開発:有利な市場に関する包括的な情報 - 当レポートでは、さまざまな地域のナレッジグラフ市場を分析しています。

- 市場の多様化ナレッジグラフ市場における新製品&サービス、未開拓の地域、最近の開発、投資に関する情報を網羅。

競合評価:IBM(米国)、Microsoft(米国)、AWS(米国)、Neo4j(米国)、TigerGraph(米国)、SAP(ドイツ)、Oracle(米国)、Stardog(米国)、Franz Inc(米国)、Ontotext(ブルガリア)、Semantic Web Company(オーストリア)、OpenLink Software(米国)、MarkLogic(米国)、Datavid(英国)、GraphBase(オーストラリア)、Cambridge Semantics(米国)、CoverSight(米国)、Eccena Gmbh(ドイツ)、ArangoDB(米国)、Fluree(米国)、DiffBot(米国)、Bitnine(米国)、Memgraph(英国)、GraphAware(英国)、Onlim(オーストリア)。

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目次

1 INTRODUCTION 38
1.1 STUDY OBJECTIVES 38
1.2 MARKET DEFINITION 38
1.2.1 INCLUSIONS AND EXCLUSIONS 38
1.3 MARKET SCOPE 39
1.3.1 MARKET SEGMENTATION 39
1.3.2 REGIONS COVERED 40
1.3.3 YEARS CONSIDERED 40
1.4 CURRENCY CONSIDERED 41
TABLE 1 USD EXCHANGE RATES, 2020–2022 41
1.5 STAKEHOLDERS 41
1.6 RECESSION IMPACT 41
2 RESEARCH METHODOLOGY 42
2.1 RESEARCH DATA 42
FIGURE 1 KNOWLEDGE GRAPH MARKET: RESEARCH DESIGN 42
2.1.1 SECONDARY DATA 43
2.1.2 PRIMARY DATA 43
2.1.2.1 Breakdown of primaries 44
TABLE 2 PRIMARY INTERVIEWS 44
2.1.2.2 Key industry insights 45
2.2 DATA TRIANGULATION 45
FIGURE 2 DATA TRIANGULATION 45
2.3 MARKET SIZE ESTIMATION 46
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE OF OFFERINGS IN KNOWLEDGE GRAPH MARKET 46
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2 (DEMAND-SIDE): KNOWLEDGE GRAPH MARKET 47
2.3.1 BOTTOM-UP APPROACH 47
FIGURE 5 BOTTOM-UP APPROACH 48
FIGURE 6 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH 48
2.3.2 TOP-DOWN APPROACH 48
FIGURE 7 TOP-DOWN APPROACH 49
2.4 MARKET FORECAST 49
TABLE 3 FACTOR ANALYSIS 49
2.5 RESEARCH ASSUMPTIONS 50
2.6 LIMITATIONS 50
2.7 IMPACT OF RECESSION ON KNOWLEDGE GRAPH MARKET 51

3 EXECUTIVE SUMMARY 52
FIGURE 8 KNOWLEDGE GRAPH MARKET, 2021–2028 (USD MILLION) 52
FIGURE 9 KNOWLEDGE GRAPH MARKET: REGIONAL SHARE, 2023 53
FIGURE 10 ASIA PACIFIC EXPECTED TO BE BEST MARKET FOR INVESTMENTS DURING FORECAST PERIOD 54
4 PREMIUM INSIGHTS 55
4.1 BRIEF OVERVIEW OF KNOWLEDGE GRAPH MARKET 55
FIGURE 11 USE OF NATURAL LANGUAGE PROCESSING IN KNOWLEDGE GRAPHS TO ACT AS OPPORTUNITY IN MARKET 55
4.2 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING AND TOP THREE VERTICALS 55
FIGURE 12 SOLUTIONS AND BFSI TO ACCOUNT FOR SIGNIFICANT SHARES OF MARKET IN NORTH AMERICA 55
4.3 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING AND TOP THREE COUNTRIES 56
FIGURE 13 SOLUTIONS AND CHINA TO ACCOUNT FOR SIGNIFICANT SHARES OF ASIA PACIFIC MARKET 56
4.4 KNOWLEDGE GRAPH MARKET, BY TYPE 56
FIGURE 14 CONTENT-RICH KNOWLEDGE GRAPHS TO HOLD LARGER MARKET SHARE IN 2023 56
4.5 KNOWLEDGE GRAPH MARKET, BY APPLICATION 57
FIGURE 15 SEMANTIC SEARCH SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 57
4.6 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE 57
FIGURE 16 UNSTRUCTURED DATA SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 57
4.7 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE 57
FIGURE 17 SEMANTIC GRAPH SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 57
5 MARKET OVERVIEW AND INDUSTRY TRENDS 58
5.1 MARKET OVERVIEW 58
5.2 MARKET DYNAMICS 58
FIGURE 18 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: KNOWLEDGE GRAPH MARKET 58
5.2.1 DRIVERS 59
5.2.1.1 Rapid growth in data volume and complexity 59
5.2.1.2 Advanced AI & ML algorithms and vast amount of generated data 59
5.2.1.3 Semantic web and linked data initiatives 59
5.2.2 RESTRAINTS 60
5.2.2.1 Significant costs for development and maintenance 60
5.2.3 OPPORTUNITIES 60
5.2.3.1 Integration of NLP techniques into knowledge graph market to help data enrichment and enhance user experiences 60
5.2.3.2 Increasing adoption in healthcare and life sciences 60

5.2.4 CHALLENGES 60
5.2.4.1 Data quality and integration 60
5.2.4.2 Scalability 61
5.3 INDUSTRY TRENDS 61
5.4 REGULATORY IMPLICATIONS 61
5.4.1 GENERAL DATA PROTECTION REGULATION 61
5.4.2 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION 27001 62
5.4.3 EU DATA GOVERNANCE ACT 62
5.4.4 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996 62
5.4.5 BASEL COMMITTEE ON BANKING SUPERVISION 239 COMPLIANCE 62
5.4.6 SARBANES-OXLEY ACT OF 2002 63
5.5 BEST PRACTICES IN KNOWLEDGE GRAPH MARKET 63
5.5.1 VALUE CHAIN ANALYSIS 64
FIGURE 19 KNOWLEDGE GRAPH MARKET: VALUE CHAIN ANALYSIS 64
5.5.2 BRIEF HISTORY OF KNOWLEDGE GRAPH MARKET 65
FIGURE 20 BRIEF HISTORY OF KNOWLEDGE GRAPH 65
5.5.2.1 2000–2010 65
5.5.2.2 2010–2020 65
5.5.2.3 2020–Present 66
5.5.3 ECOSYSTEM 66
FIGURE 21 KNOWLEDGE GRAPH ECOSYSTEM 66
TABLE 4 KNOWLEDGE GRAPH MARKET: ECOSYSTEM 67
5.5.4 PATENT ANALYSIS 68
5.5.4.1 Methodology 68
5.5.4.2 Document type 68
TABLE 5 PATENTS FILED, 2020–2023 68
5.5.4.3 Innovation and patent applications 69
FIGURE 22 TOTAL NUMBER OF PATENTS GRANTED, 2020–2023 69
5.5.4.4 Top applicants 69
FIGURE 23 TOP TEN PATENT APPLICANTS, 2020–2023 69
5.5.5 USE CASES 70
TABLE 6 KERBEROS PREVENTED MONEY LAUNDERING AND DEVELOPED COMPLIANCE MANAGEMENT APPLICATION FOR RISK MANAGEMENT WITH NEO4J 70
TABLE 7 YAHOO7 REPRESENTED CONTENT WITHIN KNOWLEDGE GRAPH WITH ASSISTANCE OF BLAZEGRAPH 70
TABLE 8 NEO4J ENABLED AND VISUALIZED CONNECTIONS BETWEEN ELEMENTS OF PANAMA PAPERS LEAKS 71
TABLE 9 GRAPH TECHNOLOGY HELPED US ARMY BY TRACKING AND ANALYZING EQUIPMENT MAINTENANCE AFTER EMPLOYING NEO4J 71
TABLE 10 THE DATABASE GROUP HELPED SPRINGERMATERIALS ACCELERATE RESEARCH WITH SEMANTIC SEARCH 72

5.5.6 PRICING ANALYSIS 73
5.5.6.1 Average selling price of key players 73
TABLE 11 PRICING ANALYSIS 73
5.5.6.2 Average selling price trends 73
5.6 IMPACT OF KNOWLEDGE GRAPH ON ADJACENT TECHNOLOGIES 74
5.6.1 TECHNOLOGY ANALYSIS 74
5.6.1.1 Adjacent technologies 75
5.6.1.1.1 NLP 75
5.6.1.1.2 Big data & analytics 75
5.6.1.1.3 Graph neural networks 75
5.6.1.2 Related technologies 75
5.6.1.2.1 Cloud computing 75
5.6.1.2.2 AI and ML 76
5.6.1.2.3 IoT 76
5.6.1.2.4 Blockchain 76
5.6.2 PORTER’S FIVE FORCES ANALYSIS 76
TABLE 12 KNOWLEDGE GRAPH MARKET: PORTER’S FIVE FORCES MODEL 77
5.6.2.1 Threat of new entrants 77
5.6.2.2 Threat of substitutes 77
5.6.2.3 Bargaining power of buyers 77
5.6.2.4 Bargaining power of suppliers 78
5.6.2.5 Intensity of competitive rivalry 78
5.6.3 DISRUPTIONS IMPACTING BUYERS/CUSTOMERS IN KNOWLEDGE GRAPH MARKET 78
FIGURE 24 TRENDS/DISRUPTIONS IMPACTING BUYERS/CUSTOMERS IN KNOWLEDGE GRAPH MARKET 78
5.6.4 KEY CONFERENCES & EVENTS IN 2023–2024 79
TABLE 13 KNOWLEDGE GRAPH MARKET: DETAILED LIST OF CONFERENCES & EVENTS 79
5.6.5 KEY STAKEHOLDERS & BUYING CRITERIA 79
5.6.5.1 Key stakeholders in buying process 79
FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES 79
TABLE 14 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES (%) 80
5.6.5.2 Buying criteria 80
FIGURE 26 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES 80
TABLE 15 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES 80
5.6.6 STEPS TO BUILD KNOWLEDGE GRAPH 81
5.6.6.1 Identify domain 81
5.6.6.2 Define entities 81
5.6.6.3 Define relationships 81
5.6.6.4 Determine attributes 81
5.6.6.5 Model graph 81
5.6.6.6 Map data 81
5.6.6.7 Validate model 81
5.6.6.8 Refine model 82
5.6.7 FUTURE DIRECTION OF KNOWLEDGE GRAPH MARKET 82
6 KNOWLEDGE GRAPH MARKET, BY OFFERING 83
6.1 INTRODUCTION 84
6.1.1 OFFERING: KNOWLEDGE GRAPH MARKET DRIVERS 84
FIGURE 27 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 84
TABLE 16 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 84
TABLE 17 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 85
6.2 SOLUTIONS 85
6.2.1 SPIKE IN DEMAND FOR SOPHISTICATED DATA MANAGEMENT AND ANALYSIS TO DRIVE MARKET 85
TABLE 18 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 85
TABLE 19 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 86
6.3 SERVICES 86
6.3.1 GROWING NEED TO IMPROVE EFFICIENCY TO BOOST MARKET 86
TABLE 20 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 86
TABLE 21 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 87
6.3.2 MANAGED SERVICES 87
6.3.3 PROFESSIONAL SERVICES 87
7 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE 88
7.1 INTRODUCTION 89
7.1.1 MODEL TYPE: KNOWLEDGE GRAPH MARKET DRIVERS 89
FIGURE 28 CONCEPTUAL GRAPHS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 89
TABLE 22 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 90
TABLE 23 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 90
7.2 RDF GRAPHS 90
7.2.1 NEED TO ADOPT INTELLIGENT DATA MANAGEMENT SOLUTIONS TO DRIVE MARKET 90
TABLE 24 RDF GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 91
TABLE 25 RDF GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 91
7.3 CONCEPTUAL GRAPHS 91
7.3.1 LOGICAL INFERENCE, KNOWLEDGE DISCOVERY, AND STRUCTURED REPRESENTATION OF DATA TO PROPEL MARKET GROWTH 91
TABLE 26 CONCEPTUAL GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 92
TABLE 27 CONCEPTUAL GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 92
7.4 SEMANTIC GRAPHS 92
7.4.1 SEAMLESS INTEGRATION OF DISPARATE DATA SOURCES TO FUEL MARKET GROWTH 92
TABLE 28 SEMANTIC GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 93
TABLE 29 SEMANTIC GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 93
8 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE 94
8.1 INTRODUCTION 95
8.1.1 DATA SOURCE: KNOWLEDGE GRAPH MARKET DRIVERS 95
FIGURE 29 STRUCTURED DATA PROJECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 95
TABLE 30 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 96
TABLE 31 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 96
8.2 STRUCTURED DATA 96
8.2.1 GROWING NEED FOR DATA ACCURACY AND CONSISTENCY TO ACCELERATE MARKET GROWTH 96
TABLE 32 STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 97
TABLE 33 STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 97
8.3 UNSTRUCTURED DATA 97
8.3.1 INCREASING FOCUS ON UNSTRUCTURED DATA SOURCES TO BOOST RESEARCH IN DATA ENRICHMENT AND CONTEXTUAL UNDERSTANDING 97
TABLE 34 UNSTRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 98
TABLE 35 UNSTRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 98
8.4 SEMI-STRUCTURED DATA 98
8.4.1 SEMI-STRUCTURED DATA SOURCES TO ASSIST ENTERPRISES IN PERCEPTIVE DEPICTION OF INTRICATE INFORMATION 98
TABLE 36 SEMI-STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 99
TABLE 37 SEMI-STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 99
9 KNOWLEDGE GRAPH MARKET, BY APPLICATION 100
9.1 INTRODUCTION 101
9.1.1 APPLICATION: KNOWLEDGE GRAPH MARKET DRIVERS 101
FIGURE 30 SEMANTIC SEARCH EXPECTED TO ACCOUNT FOR LARGEST MARKET IN 2028 101
TABLE 38 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 102
TABLE 39 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 102
9.2 SEMANTIC SEARCH 102
9.2.1 NEED FOR ENHANCED SEARCH FUNCTIONALITIES TO DRIVE THE MARKET 102
TABLE 40 SEMANTIC SEARCH: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 103
TABLE 41 SEMANTIC SEARCH: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 103
9.3 QUESTION ANSWERING 103
9.3.1 INTEGRATION OF KNOWLEDGE FROM SEVERAL DISCIPLINES AND OFFERING PERSONALIZED RECOMMENDATIONS TO DRIVE MARKET 103
TABLE 42 QUESTION ANSWERING: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 104
TABLE 43 QUESTION ANSWERING: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 104
9.4 RECOMMENDATION SYSTEMS 104
9.4.1 WIDESPREAD KNOWLEDGE OF INTRICATE IDEAS THROUGH CROSS-DOMAIN INFORMATION INTEGRATION TO BOOST MARKET 104
TABLE 44 RECOMMENDATION SYSTEMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 105
TABLE 45 RECOMMENDATION SYSTEMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 105
9.5 ENTERPRISE KNOWLEDGE MANAGEMENT 105
9.5.1 STREAMLINING OF TEAMWORK AND KNOWLEDGE EXCHANGE TO ACCELERATE MARKET GROWTH 105
TABLE 46 ENTERPRISE KNOWLEDGE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 106
TABLE 47 ENTERPRISE KNOWLEDGE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 106
9.6 OTHER APPLICATIONS 106
TABLE 48 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 107
TABLE 49 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 107
10 KNOWLEDGE GRAPH MARKET, BY TYPE 108
10.1 INTRODUCTION 109
10.1.1 TYPE: KNOWLEDGE GRAPH MARKET DRIVERS 109
FIGURE 31 NLP GRAPHS EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 110
TABLE 50 KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 110
TABLE 51 KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 110
10.2 CONTEXT-RICH KNOWLEDGE GRAPHS 111
10.2.1 CONTEXT-RICH KNOWLEDGE GRAPHS TO HELP ORGANIZATIONS ACHIEVE OPERATIONAL EXCELLENCE AND COMPETITIVE ADVANTAGE 111
TABLE 52 CONTEXT-RICH KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 111
TABLE 53 CONTEXT-RICH KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 111
10.3 EXTERNAL-SENSING KNOWLEDGE GRAPHS 112
10.3.1 REAL-TIME UPDATES FROM EXTERNAL-SENSING KNOWLEDGE GRAPHS TO FOSTER FLEXIBILITY AND AGILITY 112
TABLE 54 EXTERNAL-SENSING KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 112
TABLE 55 EXTERNAL-SENSING KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 112
10.4 NLP KNOWLEDGE GRAPHS 113
10.4.1 KNOWLEDGE DISCOVERY AND DATA INTEGRATION TO FUEL MARKET GROWTH 113
TABLE 56 NLP KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 113
TABLE 57 NLP KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 113
11 KNOWLEDGE GRAPH MARKET, BY VERTICAL 114
11.1 INTRODUCTION 115
11.1.1 VERTICAL: KNOWLEDGE GRAPH MARKET DRIVERS 115
FIGURE 32 IT & ITES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 116
TABLE 58 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 116
TABLE 59 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 117
11.2 BFSI 117
11.2.1 INCREASING NEED TO MANAGE COMPLEX DATA TO SUPPORT MARKET GROWTH 117
TABLE 60 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 117
TABLE 61 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 118
11.2.2 CASE STUDY 118
11.2.2.1 Prominent financial institution was able to combat money laundering with TigerGraph 118
11.3 RETAIL & ECOMMERCE 118
11.3.1 OPTIMIZED INVENTORY MANAGEMENT FACILITATED BY KNOWLEDGE GRAPHS TO DRIVE MARKET 118
TABLE 62 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 119
TABLE 63 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 119
11.3.2 CASE STUDY 119
11.3.2.1 Retailer improved store operations and increased customer satisfaction using TigerGraph 119
11.4 MANUFACTURING & AUTOMOTIVE 120
11.4.1 EASY PREDICTIVE MAINTENANCE AND DECREASE IN DOWNTIME TO SUPPORT MARKET GROWTH 120
TABLE 64 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 120
TABLE 65 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 120

11.4.2 CASE STUDY 121
11.4.2.1 Leading building automation systems (BAS) manufacturers used Brick schema to represent BAS components and their complex interactions 121
11.5 IT & ITES 121
11.5.1 DEVELOPMENT OF INNOVATIVE TECHNOLOGIES TO DRIVE MARKET 121
TABLE 66 IT & ITES: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 121
TABLE 67 IT & ITES: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 122
11.5.2 CASE STUDY 122
11.5.2.1 Technology giant improved customer experiences with TigerGraph 122
11.6 TELECOM 122
11.6.1 OPTIMIZED INTRICATE NETWORK INFRASTRUCTURE AND CUSTOMIZED SERVICE OFFERINGS TO FUEL MARKET GROWTH 122
TABLE 68 TELECOM: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 122
TABLE 69 TELECOM: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 123
11.6.2 CASE STUDY 123
11.6.2.1 Orange used Thing’in to build digital twin platform 123
11.7 MEDIA & ENTERTAINMENT 123
11.7.1 IMPROVED CONTENT MANAGEMENT PROCEDURES AND BETTER DATA-DRIVEN DECISIONS TO BOOST MARKET 123
TABLE 70 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 124
TABLE 71 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 124
11.7.2 CASE STUDY 124
11.7.2.1 Perfect Memory and Ontotext developed custom data program platform based on knowledge graph solution to streamline data management 124
11.8 HEALTHCARE 125
11.8.1 NEED TO REVOLUTIONIZE HEALTHCARE PRACTICES TO PROPEL ADOPTION OF KNOWLEDGE GRAPHS 125
TABLE 72 HEALTHCARE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 125
TABLE 73 HEALTHCARE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 125
11.8.2 CASE STUDY 126
11.8.2.1 Amgen improved quality of healthcare by identifying influencers and referral networks using TigerGraph 126

11.9 GOVERNMENT 126
11.9.1 SPEEDY DATA INTEGRATION AND INTEROPERABILITY TO BOOST MARKET 126
TABLE 74 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 126
TABLE 75 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 126
11.9.2 CASE STUDY 127
11.9.2.1 State Grid Corporation of China created speedy energy management system with assistance of TigerGraph 127
11.10 OTHER VERTICALS 127
TABLE 76 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 127
TABLE 77 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 127
12 KNOWLEDGE GRAPH MARKET, BY REGION 128
12.1 INTRODUCTION 129
FIGURE 33 KNOWLEDGE GRAPH MARKET: REGIONAL SNAPSHOT, 2023 129
FIGURE 34 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 130
TABLE 78 KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 130
TABLE 79 KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 130
12.2 NORTH AMERICA 131
FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT 132
12.2.1 NORTH AMERICA: KNOWLEDGE GRAPH MARKET DRIVERS 132
12.2.2 NORTH AMERICA: RECESSION IMPACT 133
TABLE 80 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 133
TABLE 81 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 133
TABLE 82 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 133
TABLE 83 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 134
TABLE 84 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 134
TABLE 85 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 134
TABLE 86 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 134
TABLE 87 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 135
TABLE 88 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 135
TABLE 89 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 135
TABLE 90 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 136
TABLE 91 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 136
TABLE 92 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 137
TABLE 93 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 137
12.2.3 US 137
12.2.3.1 Spike in demand for advanced solutions and data-driven adoption initiatives to drive market 137
TABLE 94 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 138
TABLE 95 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 138
TABLE 96 US: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 138
TABLE 97 US: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 138
TABLE 98 US: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 139
TABLE 99 US: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 139
TABLE 100 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 139
TABLE 101 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 139
TABLE 102 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 140
TABLE 103 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 140
TABLE 104 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 140
TABLE 105 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 141
12.2.4 CANADA 141
12.2.4.1 Need for real-time decision-making to drive market 141
12.3 EUROPE 141
12.3.1 EUROPE: KNOWLEDGE GRAPH MARKET DRIVERS 142
12.3.2 EUROPE: RECESSION IMPACT 142
TABLE 106 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 143
TABLE 107 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 143
TABLE 108 EUROPE: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 143
TABLE 109 EUROPE: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 143
TABLE 110 EUROPE: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 144
TABLE 111 EUROPE: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 144
TABLE 112 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 144
TABLE 113 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 144
TABLE 114 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 145
TABLE 115 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 145
TABLE 116 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 145
TABLE 117 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 146
TABLE 118 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 146
TABLE 119 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 146
12.3.3 UK 147
12.3.3.1 Government initiatives supporting integration of knowledge graphs to boost market 147
TABLE 120 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 147
TABLE 121 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 147
TABLE 122 UK: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 147
TABLE 123 UK: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 148
TABLE 124 UK: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 148
TABLE 125 UK: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 148
TABLE 126 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 148
TABLE 127 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 149
TABLE 128 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 149
TABLE 129 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 149
TABLE 130 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 150
TABLE 131 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 150
12.3.4 GERMANY 150
12.3.4.1 Increasing digitalization and technological advancements to propel market 150
12.3.5 FRANCE 151
12.3.5.1 Rising demand for data management and integration to drive market 151
12.3.6 ITALY 151
12.3.6.1 Proliferation of social networks and supply chain networks to boost market 151
TABLE 132 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 151
TABLE 133 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 152
TABLE 134 ITALY: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 152
TABLE 135 ITALY: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 152
TABLE 136 ITALY: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 152
TABLE 137 ITALY: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 153
TABLE 138 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 153
TABLE 139 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 153
TABLE 140 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 153
TABLE 141 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 154
TABLE 142 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 154
TABLE 143 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 154
12.3.7 SPAIN 155
12.3.7.1 Implementation of knowledge graphs by logistics companies to optimize supply chain operations to accelerate market 155
12.3.8 REST OF EUROPE 155
12.4 ASIA PACIFIC 155
FIGURE 36 ASIA PACIFIC: MARKET SNAPSHOT 156
12.4.1 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET DRIVERS 156
12.4.2 ASIA PACIFIC: RECESSION IMPACT 157
TABLE 144 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 157
TABLE 145 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 157
TABLE 146 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 157
TABLE 147 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 158
TABLE 148 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 158
TABLE 149 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 158
TABLE 150 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 158
TABLE 151 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 159
TABLE 152 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 159
TABLE 153 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 159
TABLE 154 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 160
TABLE 155 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 160
TABLE 156 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 160
TABLE 157 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 161
12.4.3 CHINA 161
12.4.3.1 Increasing R&D investments and government support to boost market 161
TABLE 158 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 161
TABLE 159 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 161
TABLE 160 CHINA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 162
TABLE 161 CHINA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 162
TABLE 162 CHINA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 162
TABLE 163 CHINA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 162
TABLE 164 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 163
TABLE 165 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 163
TABLE 166 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 163
TABLE 167 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 163
TABLE 168 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 164
TABLE 169 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 164
12.4.4 JAPAN 165
12.4.4.1 Robust technological sector and persistent focus on innovation to boost market 165
12.4.5 INDIA 165
12.4.5.1 Increasing adoption of digital services to drive market 165
12.4.6 AUSTRALIA & NEW ZEALAND 165
12.4.6.1 Growing infrastructure developments to boost market 165
12.4.7 REST OF ASIA PACIFIC 165
12.5 MIDDLE EAST & AFRICA 166
12.5.1 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET DRIVERS 166
12.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT 166
TABLE 170 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 167
TABLE 171 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 167
TABLE 172 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 167
TABLE 173 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 167
TABLE 174 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 168
TABLE 175 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 168
TABLE 176 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 168
TABLE 177 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 168
TABLE 178 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 169
TABLE 179 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 169
TABLE 180 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 169
TABLE 181 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 170
TABLE 182 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 170
TABLE 183 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 170
12.5.3 GCC 171
12.5.3.1 Growing awareness of benefits of knowledge graphs to drive market 171
12.5.4 SOUTH AFRICA 171
12.5.4.1 Pivotal role of knowledge graphs in driving innovation and informed decision-making to fuel market growth 171
12.5.5 REST OF MIDDLE EAST & AFRICA 171
12.6 LATIN AMERICA 172
12.6.1 LATIN AMERICA: KNOWLEDGE GRAPH MARKET DRIVERS 172
12.6.2 LATIN AMERICA: RECESSION IMPACT 172
TABLE 184 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 172
TABLE 185 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 173
TABLE 186 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 173
TABLE 187 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 173
TABLE 188 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 173
TABLE 189 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 174
TABLE 190 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 174
TABLE 191 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 174
TABLE 192 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 175
TABLE 193 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 175
TABLE 194 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 175
TABLE 195 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 176
TABLE 196 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 176
TABLE 197 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 176
12.6.3 BRAZIL 177
12.6.3.1 Spike in demand for quick and real-time data access to propel market 177
12.6.4 MEXICO 177
12.6.4.1 Rising need for efficient data management and growing adoption of AI & ML technologies to drive market 177
12.6.5 REST OF LATIN AMERICA 177
13 COMPETITIVE LANDSCAPE 178
13.1 OVERVIEW 178
13.2 STRATEGIES ADOPTED BY KEY PLAYERS 178
TABLE 198 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN KNOWLEDGE GRAPH MARKET 178
13.3 COMPETITIVE SCENARIO 179
13.4 MARKET SHARE ANALYSIS 179
TABLE 199 KNOWLEDGE GRAPH MARKET: DEGREE OF COMPETITION 179
13.5 HISTORICAL REVENUE ANALYSIS 180
FIGURE 37 HISTORICAL THREE-YEAR REVENUE ANALYSIS OF LEADING PLAYERS, 2020–2022 (USD MILLION) 180
13.6 RANKING OF KEY PLAYERS IN KNOWLEDGE GRAPH MARKET, 2023 181
FIGURE 38 MARKET RANKING OF KEY PLAYERS, 2023 181
13.7 COMPANY EVALUATION MATRIX METHODOLOGY 181
FIGURE 39 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 181
13.7.1 STARS 182
13.7.2 EMERGING LEADERS 182
13.7.3 PERVASIVE PLAYERS 182
13.7.4 PARTICIPANTS 182
FIGURE 40 KNOWLEDGE GRAPH MARKET: COMPANY EVALUATION MATRIX, 2023 183

13.8 STARTUP/SME EVALUATION MATRIX METHODOLOGY AND DEFINITIONS 184
FIGURE 41 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 184
13.8.1 PROGRESSIVE COMPANIES 184
13.8.2 RESPONSIVE COMPANIES 184
13.8.3 DYNAMIC COMPANIES 184
13.8.4 STARTING BLOCKS 184
FIGURE 42 KNOWLEDGE GRAPH MARKET: STARTUP/SME EVALUATION MATRIX 185
13.9 COMPANY FOOTPRINT 185
TABLE 200 KNOWLEDGE GRAPH MARKET: COMPANY FOOTPRINT ANALYSIS 185
13.10 COMPETITIVE BENCHMARKING 186
TABLE 201 DETAILED LIST OF STARTUPS/SMES 186
TABLE 202 COMPETITIVE BENCHMARKING OF STARTUPS/SMES 187
TABLE 203 COMPETITIVE BENCHMARKING OF KEY PLAYERS 188
13.11 COMPETITIVE SCENARIO 188
13.11.1 PRODUCT LAUNCHES 188
TABLE 204 KNOWLEDGE GRAPH MARKET: PRODUCT LAUNCHES, 2019–2023 189
13.11.2 DEALS 190
TABLE 205 KNOWLEDGE GRAPH MARKET: DEALS, 2019–2023 190
13.12 KNOWLEDGE GRAPH PRODUCT BENCHMARKING 192
TABLE 206 COMPARATIVE ANALYSIS OF PROMINENT KNOWLEDGE GRAPH SOLUTIONS 192
13.13 VALUATION AND FINANCIAL METRICS OF KEY KNOWLEDGE GRAPH VENDORS 192
FIGURE 43 VALUATION AND FINANCIAL METRICS OF KNOWLEDGE GRAPH VENDORS 192

 

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Summary

MarketsandMarkets forecasts that the knowledge graph market size is projected to grow from USD 0.9 billion in 2023 to USD 2.4 billion by 2028, at a CAGR of 21.8% during the forecast period. Organizations increasingly focus on knowledge discovery and management to improve decision-making processes and gain actionable insights. Knowledge graphs help organize complex information and extract valuable knowledge from structured and unstructured data, contributing to more informed decision-making.
“By vertical, the IT & ITeS segment is expected to grow with the highest CAGR during the forecast period.”
The market for knowledge graphs in the IT & ITeS sector has expanded and is expected to change significantly in the coming years, demonstrating the market's critical role in data management and knowledge representation. Knowledge graphs are essential for integrating diverse data and facilitating well-informed decision-making in various industries, including e-commerce, healthcare, finance, and others. These graphs have further strengthened search engines and recommendation systems, giving users more accurate and customized results. Thanks to integration with AI systems and semantic technologies, they can now comprehend complicated relationships and situations much better.

“By data source, the unstructured data segment is expected to hold the largest market size during the forecast period.”
Research in data enrichment, contextual understanding, and semantic analysis has advanced significantly as a result of the knowledge graph market's increasing focus on unstructured data sources. Through the application of advanced natural language processing algorithms, enterprises can obtain significant insights from a variety of unstructured data sources, such as textual content, social media feeds, and customer reviews. Because of the abundance of rich data, the knowledge graph can provide a more thorough and integrated understanding of different disciplines, leading to more precise insights and customized suggestions.
“Asia Pacific is expected to grow with the highest CAGR during the forecast period.”
The Asia Pacific region has become a hotbed for the rapid adoption of knowledge graphs, owing to its dynamic technological landscape and the increasing complexity of data. With a strong emphasis on data-driven decision-making and a burgeoning need for personalized customer experiences, businesses have turned to knowledge graphs as a solution to manage and analyze intricate datasets from diverse sources. Government initiatives supporting technological advancements have further fueled the growth of the knowledge graph market, facilitating innovation and economic development. As the region continues to invest in cutting-edge technologies, the potential for knowledge graphs to streamline data management and drive insightful decision-making remains a key focal point for businesses and organizations across various sectors.

Breakdown of primaries

The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:

 By Company: Tier 1–20%, Tier 2–25%, and Tier 3–55%
 By Designation: C-Level Executives–40%, Director Level–33%, and Others–27%
 By Region: North America–32%, Europe–38%, APAC–18%, RoW–12%
The major players in the Knowledge graph market IBM (US), Microsoft (US), AWS (US), Neo4j (US), TigerGraph (US), SAP (Germany), Oracle (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Semantic Web Company (Austria), OpenLink Software (US), MarkLogic (US), Datavid (UK), GraphBase (Australia), Cambridge Semantics (US), CoverSight (US), Eccena Gmbh (Germany), ArangoDB (US), Fluree (US), DiffBot (US), Bitnine (US), Memgraph (England), GraphAware (UK), Onlim (Austria). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, product enhancements, and acquisitions to expand their footprint in the knowledge graph market.

Research Coverage
The report segments the global Knowledge graph market by offering into two categories: solutions and services. By model type, the knowledge graph market is divided into four categories: RDF graph, conceptual graph, and semantic graph. By data source, the knowledge graph market is divided into three major categories: structured data, unstructured data, and semi-structured data. By application, the knowledge graph market has been classified into semantic search, question answering, recommendation systems, enterprise knowledge management, and other applications. By type, the knowledge graph market is divided into three categories: context-rich knowledge graphs, external-sensing knowledge graphs, and NLP knowledge graphs. By vertical, the knowledge graph market has been classified into BFSI, retail & e-commerce, manufacturing & automotive, IT and ITES, telecom, media and entertainment, healthcare, government, and other verticals (education, research, and real estate). By region, the market has been segmented into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.
Key benefits of the report
The report would help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall knowledge graph market and the subsegments. This report would help stakeholders understand the competitive landscape and gain insights to position their businesses better and plan suitable go-to-market strategies. The report would help stakeholders understand the market's pulse and provide them with information on the key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:

Analysis of key drivers (Rapid growth in data volume and complexity, AI and ML to drive market growth, Semantic web and linked data initiatives to boost the market), restraints (Cost of development and maintenance), opportunities (NLP to boost knowledge graph market, increasing adoption in healthcare and life sciences), and challenges (Data quality and integration, Scalability) influencing the growth of the knowledge graph market.

• Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product and service launches in the knowledge graph market.

• Market Development: Comprehensive information about lucrative markets – the report analyses the knowledge graph market across varied regions.

• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the knowledge graph market.

Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players IBM (US), Microsoft (US), AWS (US), Neo4j (US), TigerGraph (US), SAP (Germany), Oracle (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Semantic Web Company (Austria), OpenLink Software (US), MarkLogic (US), Datavid (UK), GraphBase (Australia), Cambridge Semantics (US), CoverSight (US), Eccena Gmbh (Germany), ArangoDB (US), Fluree (US), DiffBot (US), Bitnine (US), Memgraph (England), GraphAware (UK), Onlim (Austria).



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Table of Contents

1 INTRODUCTION 38
1.1 STUDY OBJECTIVES 38
1.2 MARKET DEFINITION 38
1.2.1 INCLUSIONS AND EXCLUSIONS 38
1.3 MARKET SCOPE 39
1.3.1 MARKET SEGMENTATION 39
1.3.2 REGIONS COVERED 40
1.3.3 YEARS CONSIDERED 40
1.4 CURRENCY CONSIDERED 41
TABLE 1 USD EXCHANGE RATES, 2020–2022 41
1.5 STAKEHOLDERS 41
1.6 RECESSION IMPACT 41
2 RESEARCH METHODOLOGY 42
2.1 RESEARCH DATA 42
FIGURE 1 KNOWLEDGE GRAPH MARKET: RESEARCH DESIGN 42
2.1.1 SECONDARY DATA 43
2.1.2 PRIMARY DATA 43
2.1.2.1 Breakdown of primaries 44
TABLE 2 PRIMARY INTERVIEWS 44
2.1.2.2 Key industry insights 45
2.2 DATA TRIANGULATION 45
FIGURE 2 DATA TRIANGULATION 45
2.3 MARKET SIZE ESTIMATION 46
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE OF OFFERINGS IN KNOWLEDGE GRAPH MARKET 46
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2 (DEMAND-SIDE): KNOWLEDGE GRAPH MARKET 47
2.3.1 BOTTOM-UP APPROACH 47
FIGURE 5 BOTTOM-UP APPROACH 48
FIGURE 6 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH 48
2.3.2 TOP-DOWN APPROACH 48
FIGURE 7 TOP-DOWN APPROACH 49
2.4 MARKET FORECAST 49
TABLE 3 FACTOR ANALYSIS 49
2.5 RESEARCH ASSUMPTIONS 50
2.6 LIMITATIONS 50
2.7 IMPACT OF RECESSION ON KNOWLEDGE GRAPH MARKET 51

3 EXECUTIVE SUMMARY 52
FIGURE 8 KNOWLEDGE GRAPH MARKET, 2021–2028 (USD MILLION) 52
FIGURE 9 KNOWLEDGE GRAPH MARKET: REGIONAL SHARE, 2023 53
FIGURE 10 ASIA PACIFIC EXPECTED TO BE BEST MARKET FOR INVESTMENTS DURING FORECAST PERIOD 54
4 PREMIUM INSIGHTS 55
4.1 BRIEF OVERVIEW OF KNOWLEDGE GRAPH MARKET 55
FIGURE 11 USE OF NATURAL LANGUAGE PROCESSING IN KNOWLEDGE GRAPHS TO ACT AS OPPORTUNITY IN MARKET 55
4.2 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING AND TOP THREE VERTICALS 55
FIGURE 12 SOLUTIONS AND BFSI TO ACCOUNT FOR SIGNIFICANT SHARES OF MARKET IN NORTH AMERICA 55
4.3 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING AND TOP THREE COUNTRIES 56
FIGURE 13 SOLUTIONS AND CHINA TO ACCOUNT FOR SIGNIFICANT SHARES OF ASIA PACIFIC MARKET 56
4.4 KNOWLEDGE GRAPH MARKET, BY TYPE 56
FIGURE 14 CONTENT-RICH KNOWLEDGE GRAPHS TO HOLD LARGER MARKET SHARE IN 2023 56
4.5 KNOWLEDGE GRAPH MARKET, BY APPLICATION 57
FIGURE 15 SEMANTIC SEARCH SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 57
4.6 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE 57
FIGURE 16 UNSTRUCTURED DATA SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 57
4.7 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE 57
FIGURE 17 SEMANTIC GRAPH SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 57
5 MARKET OVERVIEW AND INDUSTRY TRENDS 58
5.1 MARKET OVERVIEW 58
5.2 MARKET DYNAMICS 58
FIGURE 18 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: KNOWLEDGE GRAPH MARKET 58
5.2.1 DRIVERS 59
5.2.1.1 Rapid growth in data volume and complexity 59
5.2.1.2 Advanced AI & ML algorithms and vast amount of generated data 59
5.2.1.3 Semantic web and linked data initiatives 59
5.2.2 RESTRAINTS 60
5.2.2.1 Significant costs for development and maintenance 60
5.2.3 OPPORTUNITIES 60
5.2.3.1 Integration of NLP techniques into knowledge graph market to help data enrichment and enhance user experiences 60
5.2.3.2 Increasing adoption in healthcare and life sciences 60

5.2.4 CHALLENGES 60
5.2.4.1 Data quality and integration 60
5.2.4.2 Scalability 61
5.3 INDUSTRY TRENDS 61
5.4 REGULATORY IMPLICATIONS 61
5.4.1 GENERAL DATA PROTECTION REGULATION 61
5.4.2 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION 27001 62
5.4.3 EU DATA GOVERNANCE ACT 62
5.4.4 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996 62
5.4.5 BASEL COMMITTEE ON BANKING SUPERVISION 239 COMPLIANCE 62
5.4.6 SARBANES-OXLEY ACT OF 2002 63
5.5 BEST PRACTICES IN KNOWLEDGE GRAPH MARKET 63
5.5.1 VALUE CHAIN ANALYSIS 64
FIGURE 19 KNOWLEDGE GRAPH MARKET: VALUE CHAIN ANALYSIS 64
5.5.2 BRIEF HISTORY OF KNOWLEDGE GRAPH MARKET 65
FIGURE 20 BRIEF HISTORY OF KNOWLEDGE GRAPH 65
5.5.2.1 2000–2010 65
5.5.2.2 2010–2020 65
5.5.2.3 2020–Present 66
5.5.3 ECOSYSTEM 66
FIGURE 21 KNOWLEDGE GRAPH ECOSYSTEM 66
TABLE 4 KNOWLEDGE GRAPH MARKET: ECOSYSTEM 67
5.5.4 PATENT ANALYSIS 68
5.5.4.1 Methodology 68
5.5.4.2 Document type 68
TABLE 5 PATENTS FILED, 2020–2023 68
5.5.4.3 Innovation and patent applications 69
FIGURE 22 TOTAL NUMBER OF PATENTS GRANTED, 2020–2023 69
5.5.4.4 Top applicants 69
FIGURE 23 TOP TEN PATENT APPLICANTS, 2020–2023 69
5.5.5 USE CASES 70
TABLE 6 KERBEROS PREVENTED MONEY LAUNDERING AND DEVELOPED COMPLIANCE MANAGEMENT APPLICATION FOR RISK MANAGEMENT WITH NEO4J 70
TABLE 7 YAHOO7 REPRESENTED CONTENT WITHIN KNOWLEDGE GRAPH WITH ASSISTANCE OF BLAZEGRAPH 70
TABLE 8 NEO4J ENABLED AND VISUALIZED CONNECTIONS BETWEEN ELEMENTS OF PANAMA PAPERS LEAKS 71
TABLE 9 GRAPH TECHNOLOGY HELPED US ARMY BY TRACKING AND ANALYZING EQUIPMENT MAINTENANCE AFTER EMPLOYING NEO4J 71
TABLE 10 THE DATABASE GROUP HELPED SPRINGERMATERIALS ACCELERATE RESEARCH WITH SEMANTIC SEARCH 72

5.5.6 PRICING ANALYSIS 73
5.5.6.1 Average selling price of key players 73
TABLE 11 PRICING ANALYSIS 73
5.5.6.2 Average selling price trends 73
5.6 IMPACT OF KNOWLEDGE GRAPH ON ADJACENT TECHNOLOGIES 74
5.6.1 TECHNOLOGY ANALYSIS 74
5.6.1.1 Adjacent technologies 75
5.6.1.1.1 NLP 75
5.6.1.1.2 Big data & analytics 75
5.6.1.1.3 Graph neural networks 75
5.6.1.2 Related technologies 75
5.6.1.2.1 Cloud computing 75
5.6.1.2.2 AI and ML 76
5.6.1.2.3 IoT 76
5.6.1.2.4 Blockchain 76
5.6.2 PORTER’S FIVE FORCES ANALYSIS 76
TABLE 12 KNOWLEDGE GRAPH MARKET: PORTER’S FIVE FORCES MODEL 77
5.6.2.1 Threat of new entrants 77
5.6.2.2 Threat of substitutes 77
5.6.2.3 Bargaining power of buyers 77
5.6.2.4 Bargaining power of suppliers 78
5.6.2.5 Intensity of competitive rivalry 78
5.6.3 DISRUPTIONS IMPACTING BUYERS/CUSTOMERS IN KNOWLEDGE GRAPH MARKET 78
FIGURE 24 TRENDS/DISRUPTIONS IMPACTING BUYERS/CUSTOMERS IN KNOWLEDGE GRAPH MARKET 78
5.6.4 KEY CONFERENCES & EVENTS IN 2023–2024 79
TABLE 13 KNOWLEDGE GRAPH MARKET: DETAILED LIST OF CONFERENCES & EVENTS 79
5.6.5 KEY STAKEHOLDERS & BUYING CRITERIA 79
5.6.5.1 Key stakeholders in buying process 79
FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES 79
TABLE 14 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES (%) 80
5.6.5.2 Buying criteria 80
FIGURE 26 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES 80
TABLE 15 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES 80
5.6.6 STEPS TO BUILD KNOWLEDGE GRAPH 81
5.6.6.1 Identify domain 81
5.6.6.2 Define entities 81
5.6.6.3 Define relationships 81
5.6.6.4 Determine attributes 81
5.6.6.5 Model graph 81
5.6.6.6 Map data 81
5.6.6.7 Validate model 81
5.6.6.8 Refine model 82
5.6.7 FUTURE DIRECTION OF KNOWLEDGE GRAPH MARKET 82
6 KNOWLEDGE GRAPH MARKET, BY OFFERING 83
6.1 INTRODUCTION 84
6.1.1 OFFERING: KNOWLEDGE GRAPH MARKET DRIVERS 84
FIGURE 27 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 84
TABLE 16 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 84
TABLE 17 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 85
6.2 SOLUTIONS 85
6.2.1 SPIKE IN DEMAND FOR SOPHISTICATED DATA MANAGEMENT AND ANALYSIS TO DRIVE MARKET 85
TABLE 18 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 85
TABLE 19 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 86
6.3 SERVICES 86
6.3.1 GROWING NEED TO IMPROVE EFFICIENCY TO BOOST MARKET 86
TABLE 20 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 86
TABLE 21 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 87
6.3.2 MANAGED SERVICES 87
6.3.3 PROFESSIONAL SERVICES 87
7 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE 88
7.1 INTRODUCTION 89
7.1.1 MODEL TYPE: KNOWLEDGE GRAPH MARKET DRIVERS 89
FIGURE 28 CONCEPTUAL GRAPHS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 89
TABLE 22 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 90
TABLE 23 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 90
7.2 RDF GRAPHS 90
7.2.1 NEED TO ADOPT INTELLIGENT DATA MANAGEMENT SOLUTIONS TO DRIVE MARKET 90
TABLE 24 RDF GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 91
TABLE 25 RDF GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 91
7.3 CONCEPTUAL GRAPHS 91
7.3.1 LOGICAL INFERENCE, KNOWLEDGE DISCOVERY, AND STRUCTURED REPRESENTATION OF DATA TO PROPEL MARKET GROWTH 91
TABLE 26 CONCEPTUAL GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 92
TABLE 27 CONCEPTUAL GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 92
7.4 SEMANTIC GRAPHS 92
7.4.1 SEAMLESS INTEGRATION OF DISPARATE DATA SOURCES TO FUEL MARKET GROWTH 92
TABLE 28 SEMANTIC GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 93
TABLE 29 SEMANTIC GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 93
8 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE 94
8.1 INTRODUCTION 95
8.1.1 DATA SOURCE: KNOWLEDGE GRAPH MARKET DRIVERS 95
FIGURE 29 STRUCTURED DATA PROJECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 95
TABLE 30 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 96
TABLE 31 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 96
8.2 STRUCTURED DATA 96
8.2.1 GROWING NEED FOR DATA ACCURACY AND CONSISTENCY TO ACCELERATE MARKET GROWTH 96
TABLE 32 STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 97
TABLE 33 STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 97
8.3 UNSTRUCTURED DATA 97
8.3.1 INCREASING FOCUS ON UNSTRUCTURED DATA SOURCES TO BOOST RESEARCH IN DATA ENRICHMENT AND CONTEXTUAL UNDERSTANDING 97
TABLE 34 UNSTRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 98
TABLE 35 UNSTRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 98
8.4 SEMI-STRUCTURED DATA 98
8.4.1 SEMI-STRUCTURED DATA SOURCES TO ASSIST ENTERPRISES IN PERCEPTIVE DEPICTION OF INTRICATE INFORMATION 98
TABLE 36 SEMI-STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 99
TABLE 37 SEMI-STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 99
9 KNOWLEDGE GRAPH MARKET, BY APPLICATION 100
9.1 INTRODUCTION 101
9.1.1 APPLICATION: KNOWLEDGE GRAPH MARKET DRIVERS 101
FIGURE 30 SEMANTIC SEARCH EXPECTED TO ACCOUNT FOR LARGEST MARKET IN 2028 101
TABLE 38 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 102
TABLE 39 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 102
9.2 SEMANTIC SEARCH 102
9.2.1 NEED FOR ENHANCED SEARCH FUNCTIONALITIES TO DRIVE THE MARKET 102
TABLE 40 SEMANTIC SEARCH: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 103
TABLE 41 SEMANTIC SEARCH: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 103
9.3 QUESTION ANSWERING 103
9.3.1 INTEGRATION OF KNOWLEDGE FROM SEVERAL DISCIPLINES AND OFFERING PERSONALIZED RECOMMENDATIONS TO DRIVE MARKET 103
TABLE 42 QUESTION ANSWERING: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 104
TABLE 43 QUESTION ANSWERING: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 104
9.4 RECOMMENDATION SYSTEMS 104
9.4.1 WIDESPREAD KNOWLEDGE OF INTRICATE IDEAS THROUGH CROSS-DOMAIN INFORMATION INTEGRATION TO BOOST MARKET 104
TABLE 44 RECOMMENDATION SYSTEMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 105
TABLE 45 RECOMMENDATION SYSTEMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 105
9.5 ENTERPRISE KNOWLEDGE MANAGEMENT 105
9.5.1 STREAMLINING OF TEAMWORK AND KNOWLEDGE EXCHANGE TO ACCELERATE MARKET GROWTH 105
TABLE 46 ENTERPRISE KNOWLEDGE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 106
TABLE 47 ENTERPRISE KNOWLEDGE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 106
9.6 OTHER APPLICATIONS 106
TABLE 48 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 107
TABLE 49 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 107
10 KNOWLEDGE GRAPH MARKET, BY TYPE 108
10.1 INTRODUCTION 109
10.1.1 TYPE: KNOWLEDGE GRAPH MARKET DRIVERS 109
FIGURE 31 NLP GRAPHS EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 110
TABLE 50 KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 110
TABLE 51 KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 110
10.2 CONTEXT-RICH KNOWLEDGE GRAPHS 111
10.2.1 CONTEXT-RICH KNOWLEDGE GRAPHS TO HELP ORGANIZATIONS ACHIEVE OPERATIONAL EXCELLENCE AND COMPETITIVE ADVANTAGE 111
TABLE 52 CONTEXT-RICH KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 111
TABLE 53 CONTEXT-RICH KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 111
10.3 EXTERNAL-SENSING KNOWLEDGE GRAPHS 112
10.3.1 REAL-TIME UPDATES FROM EXTERNAL-SENSING KNOWLEDGE GRAPHS TO FOSTER FLEXIBILITY AND AGILITY 112
TABLE 54 EXTERNAL-SENSING KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 112
TABLE 55 EXTERNAL-SENSING KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 112
10.4 NLP KNOWLEDGE GRAPHS 113
10.4.1 KNOWLEDGE DISCOVERY AND DATA INTEGRATION TO FUEL MARKET GROWTH 113
TABLE 56 NLP KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 113
TABLE 57 NLP KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 113
11 KNOWLEDGE GRAPH MARKET, BY VERTICAL 114
11.1 INTRODUCTION 115
11.1.1 VERTICAL: KNOWLEDGE GRAPH MARKET DRIVERS 115
FIGURE 32 IT & ITES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 116
TABLE 58 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 116
TABLE 59 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 117
11.2 BFSI 117
11.2.1 INCREASING NEED TO MANAGE COMPLEX DATA TO SUPPORT MARKET GROWTH 117
TABLE 60 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 117
TABLE 61 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 118
11.2.2 CASE STUDY 118
11.2.2.1 Prominent financial institution was able to combat money laundering with TigerGraph 118
11.3 RETAIL & ECOMMERCE 118
11.3.1 OPTIMIZED INVENTORY MANAGEMENT FACILITATED BY KNOWLEDGE GRAPHS TO DRIVE MARKET 118
TABLE 62 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 119
TABLE 63 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 119
11.3.2 CASE STUDY 119
11.3.2.1 Retailer improved store operations and increased customer satisfaction using TigerGraph 119
11.4 MANUFACTURING & AUTOMOTIVE 120
11.4.1 EASY PREDICTIVE MAINTENANCE AND DECREASE IN DOWNTIME TO SUPPORT MARKET GROWTH 120
TABLE 64 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 120
TABLE 65 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 120

11.4.2 CASE STUDY 121
11.4.2.1 Leading building automation systems (BAS) manufacturers used Brick schema to represent BAS components and their complex interactions 121
11.5 IT & ITES 121
11.5.1 DEVELOPMENT OF INNOVATIVE TECHNOLOGIES TO DRIVE MARKET 121
TABLE 66 IT & ITES: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 121
TABLE 67 IT & ITES: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 122
11.5.2 CASE STUDY 122
11.5.2.1 Technology giant improved customer experiences with TigerGraph 122
11.6 TELECOM 122
11.6.1 OPTIMIZED INTRICATE NETWORK INFRASTRUCTURE AND CUSTOMIZED SERVICE OFFERINGS TO FUEL MARKET GROWTH 122
TABLE 68 TELECOM: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 122
TABLE 69 TELECOM: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 123
11.6.2 CASE STUDY 123
11.6.2.1 Orange used Thing’in to build digital twin platform 123
11.7 MEDIA & ENTERTAINMENT 123
11.7.1 IMPROVED CONTENT MANAGEMENT PROCEDURES AND BETTER DATA-DRIVEN DECISIONS TO BOOST MARKET 123
TABLE 70 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 124
TABLE 71 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 124
11.7.2 CASE STUDY 124
11.7.2.1 Perfect Memory and Ontotext developed custom data program platform based on knowledge graph solution to streamline data management 124
11.8 HEALTHCARE 125
11.8.1 NEED TO REVOLUTIONIZE HEALTHCARE PRACTICES TO PROPEL ADOPTION OF KNOWLEDGE GRAPHS 125
TABLE 72 HEALTHCARE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 125
TABLE 73 HEALTHCARE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 125
11.8.2 CASE STUDY 126
11.8.2.1 Amgen improved quality of healthcare by identifying influencers and referral networks using TigerGraph 126

11.9 GOVERNMENT 126
11.9.1 SPEEDY DATA INTEGRATION AND INTEROPERABILITY TO BOOST MARKET 126
TABLE 74 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 126
TABLE 75 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 126
11.9.2 CASE STUDY 127
11.9.2.1 State Grid Corporation of China created speedy energy management system with assistance of TigerGraph 127
11.10 OTHER VERTICALS 127
TABLE 76 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 127
TABLE 77 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 127
12 KNOWLEDGE GRAPH MARKET, BY REGION 128
12.1 INTRODUCTION 129
FIGURE 33 KNOWLEDGE GRAPH MARKET: REGIONAL SNAPSHOT, 2023 129
FIGURE 34 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 130
TABLE 78 KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 130
TABLE 79 KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 130
12.2 NORTH AMERICA 131
FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT 132
12.2.1 NORTH AMERICA: KNOWLEDGE GRAPH MARKET DRIVERS 132
12.2.2 NORTH AMERICA: RECESSION IMPACT 133
TABLE 80 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 133
TABLE 81 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 133
TABLE 82 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 133
TABLE 83 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 134
TABLE 84 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 134
TABLE 85 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 134
TABLE 86 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 134
TABLE 87 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 135
TABLE 88 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 135
TABLE 89 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 135
TABLE 90 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 136
TABLE 91 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 136
TABLE 92 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 137
TABLE 93 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 137
12.2.3 US 137
12.2.3.1 Spike in demand for advanced solutions and data-driven adoption initiatives to drive market 137
TABLE 94 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 138
TABLE 95 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 138
TABLE 96 US: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 138
TABLE 97 US: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 138
TABLE 98 US: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 139
TABLE 99 US: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 139
TABLE 100 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 139
TABLE 101 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 139
TABLE 102 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 140
TABLE 103 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 140
TABLE 104 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 140
TABLE 105 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 141
12.2.4 CANADA 141
12.2.4.1 Need for real-time decision-making to drive market 141
12.3 EUROPE 141
12.3.1 EUROPE: KNOWLEDGE GRAPH MARKET DRIVERS 142
12.3.2 EUROPE: RECESSION IMPACT 142
TABLE 106 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 143
TABLE 107 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 143
TABLE 108 EUROPE: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 143
TABLE 109 EUROPE: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 143
TABLE 110 EUROPE: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 144
TABLE 111 EUROPE: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 144
TABLE 112 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 144
TABLE 113 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 144
TABLE 114 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 145
TABLE 115 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 145
TABLE 116 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 145
TABLE 117 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 146
TABLE 118 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 146
TABLE 119 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 146
12.3.3 UK 147
12.3.3.1 Government initiatives supporting integration of knowledge graphs to boost market 147
TABLE 120 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 147
TABLE 121 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 147
TABLE 122 UK: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 147
TABLE 123 UK: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 148
TABLE 124 UK: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 148
TABLE 125 UK: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 148
TABLE 126 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 148
TABLE 127 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 149
TABLE 128 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 149
TABLE 129 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 149
TABLE 130 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 150
TABLE 131 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 150
12.3.4 GERMANY 150
12.3.4.1 Increasing digitalization and technological advancements to propel market 150
12.3.5 FRANCE 151
12.3.5.1 Rising demand for data management and integration to drive market 151
12.3.6 ITALY 151
12.3.6.1 Proliferation of social networks and supply chain networks to boost market 151
TABLE 132 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 151
TABLE 133 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 152
TABLE 134 ITALY: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 152
TABLE 135 ITALY: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 152
TABLE 136 ITALY: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 152
TABLE 137 ITALY: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 153
TABLE 138 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 153
TABLE 139 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 153
TABLE 140 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 153
TABLE 141 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 154
TABLE 142 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 154
TABLE 143 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 154
12.3.7 SPAIN 155
12.3.7.1 Implementation of knowledge graphs by logistics companies to optimize supply chain operations to accelerate market 155
12.3.8 REST OF EUROPE 155
12.4 ASIA PACIFIC 155
FIGURE 36 ASIA PACIFIC: MARKET SNAPSHOT 156
12.4.1 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET DRIVERS 156
12.4.2 ASIA PACIFIC: RECESSION IMPACT 157
TABLE 144 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 157
TABLE 145 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 157
TABLE 146 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 157
TABLE 147 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 158
TABLE 148 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 158
TABLE 149 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 158
TABLE 150 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 158
TABLE 151 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 159
TABLE 152 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 159
TABLE 153 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 159
TABLE 154 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 160
TABLE 155 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 160
TABLE 156 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 160
TABLE 157 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 161
12.4.3 CHINA 161
12.4.3.1 Increasing R&D investments and government support to boost market 161
TABLE 158 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 161
TABLE 159 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 161
TABLE 160 CHINA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 162
TABLE 161 CHINA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 162
TABLE 162 CHINA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 162
TABLE 163 CHINA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 162
TABLE 164 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 163
TABLE 165 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 163
TABLE 166 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 163
TABLE 167 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 163
TABLE 168 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 164
TABLE 169 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 164
12.4.4 JAPAN 165
12.4.4.1 Robust technological sector and persistent focus on innovation to boost market 165
12.4.5 INDIA 165
12.4.5.1 Increasing adoption of digital services to drive market 165
12.4.6 AUSTRALIA & NEW ZEALAND 165
12.4.6.1 Growing infrastructure developments to boost market 165
12.4.7 REST OF ASIA PACIFIC 165
12.5 MIDDLE EAST & AFRICA 166
12.5.1 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET DRIVERS 166
12.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT 166
TABLE 170 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 167
TABLE 171 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 167
TABLE 172 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 167
TABLE 173 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 167
TABLE 174 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 168
TABLE 175 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 168
TABLE 176 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 168
TABLE 177 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 168
TABLE 178 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 169
TABLE 179 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 169
TABLE 180 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 169
TABLE 181 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 170
TABLE 182 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 170
TABLE 183 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 170
12.5.3 GCC 171
12.5.3.1 Growing awareness of benefits of knowledge graphs to drive market 171
12.5.4 SOUTH AFRICA 171
12.5.4.1 Pivotal role of knowledge graphs in driving innovation and informed decision-making to fuel market growth 171
12.5.5 REST OF MIDDLE EAST & AFRICA 171
12.6 LATIN AMERICA 172
12.6.1 LATIN AMERICA: KNOWLEDGE GRAPH MARKET DRIVERS 172
12.6.2 LATIN AMERICA: RECESSION IMPACT 172
TABLE 184 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 172
TABLE 185 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 173
TABLE 186 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 173
TABLE 187 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 173
TABLE 188 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 173
TABLE 189 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 174
TABLE 190 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 174
TABLE 191 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 174
TABLE 192 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 175
TABLE 193 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 175
TABLE 194 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 175
TABLE 195 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 176
TABLE 196 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 176
TABLE 197 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 176
12.6.3 BRAZIL 177
12.6.3.1 Spike in demand for quick and real-time data access to propel market 177
12.6.4 MEXICO 177
12.6.4.1 Rising need for efficient data management and growing adoption of AI & ML technologies to drive market 177
12.6.5 REST OF LATIN AMERICA 177
13 COMPETITIVE LANDSCAPE 178
13.1 OVERVIEW 178
13.2 STRATEGIES ADOPTED BY KEY PLAYERS 178
TABLE 198 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN KNOWLEDGE GRAPH MARKET 178
13.3 COMPETITIVE SCENARIO 179
13.4 MARKET SHARE ANALYSIS 179
TABLE 199 KNOWLEDGE GRAPH MARKET: DEGREE OF COMPETITION 179
13.5 HISTORICAL REVENUE ANALYSIS 180
FIGURE 37 HISTORICAL THREE-YEAR REVENUE ANALYSIS OF LEADING PLAYERS, 2020–2022 (USD MILLION) 180
13.6 RANKING OF KEY PLAYERS IN KNOWLEDGE GRAPH MARKET, 2023 181
FIGURE 38 MARKET RANKING OF KEY PLAYERS, 2023 181
13.7 COMPANY EVALUATION MATRIX METHODOLOGY 181
FIGURE 39 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 181
13.7.1 STARS 182
13.7.2 EMERGING LEADERS 182
13.7.3 PERVASIVE PLAYERS 182
13.7.4 PARTICIPANTS 182
FIGURE 40 KNOWLEDGE GRAPH MARKET: COMPANY EVALUATION MATRIX, 2023 183

13.8 STARTUP/SME EVALUATION MATRIX METHODOLOGY AND DEFINITIONS 184
FIGURE 41 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 184
13.8.1 PROGRESSIVE COMPANIES 184
13.8.2 RESPONSIVE COMPANIES 184
13.8.3 DYNAMIC COMPANIES 184
13.8.4 STARTING BLOCKS 184
FIGURE 42 KNOWLEDGE GRAPH MARKET: STARTUP/SME EVALUATION MATRIX 185
13.9 COMPANY FOOTPRINT 185
TABLE 200 KNOWLEDGE GRAPH MARKET: COMPANY FOOTPRINT ANALYSIS 185
13.10 COMPETITIVE BENCHMARKING 186
TABLE 201 DETAILED LIST OF STARTUPS/SMES 186
TABLE 202 COMPETITIVE BENCHMARKING OF STARTUPS/SMES 187
TABLE 203 COMPETITIVE BENCHMARKING OF KEY PLAYERS 188
13.11 COMPETITIVE SCENARIO 188
13.11.1 PRODUCT LAUNCHES 188
TABLE 204 KNOWLEDGE GRAPH MARKET: PRODUCT LAUNCHES, 2019–2023 189
13.11.2 DEALS 190
TABLE 205 KNOWLEDGE GRAPH MARKET: DEALS, 2019–2023 190
13.12 KNOWLEDGE GRAPH PRODUCT BENCHMARKING 192
TABLE 206 COMPARATIVE ANALYSIS OF PROMINENT KNOWLEDGE GRAPH SOLUTIONS 192
13.13 VALUATION AND FINANCIAL METRICS OF KEY KNOWLEDGE GRAPH VENDORS 192
FIGURE 43 VALUATION AND FINANCIAL METRICS OF KNOWLEDGE GRAPH VENDORS 192

 

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