サマリー

DataOpsプラットフォーム市場は、2023年の39億米ドルから2028年には109億米ドルまで、予測期間中に23.0%のCAGRで成長すると予測されます。DataOpsプラットフォームは、データパイプライン、ワークフロー、プロセスを管理・統括するための集中型ハブとして重要な役割を担っています。データエンジニア、データサイエンティスト、アナリストなど、機能横断的なチーム間のコラボレーションを促進する。さまざまなツールや機能を提供することで、このプラットフォームは、エンドツーエンドのデータライフサイクルの自動化、監視、制御を可能にします。この一元的なアプローチにより、合理的な運用と効率的なコラボレーションが実現し、企業はデータ資産を効果的に活用し、価値を引き出すことができるようになります。
予測期間中、アジャイル開発部門が最大の市場シェアを占めると予測される
タイプ別に、市場はアジャイル開発、DevOps、リーン生産に分けられます。DataOpsプラットフォームにおけるアジャイル開発は、組織が変化するビジネスニーズへの対応能力を高め、プロジェクトの可視性と透明性を向上させ、コラボレーションとイノベーションを促進し、データイニシアチブの価値実現までの時間を短縮することを支援します。また、データ運用の効率的な管理、データプロセスの最適化、実用的なインサイトを動的かつ反復的に提供することが可能になります。予測期間中、アジャイル開発が最大の市場シェアを占めると予想されます。

オファリングのうち、サービス分野は予測期間中に最も高いCAGRで成長すると予測されています。
DataOpsプラットフォームのサービスは、効率的かつ効果的なデータ運用と管理を促進するために設計された幅広い機能性と能力を包含しています。これらのサービスは、データのライフサイクルを通じてデータを扱う際の課題や要件に対応するよう特別に調整されています。DataOpsプラットフォームのサービスは、効率的なAI機能、リアルタイム分析、インサイト配信をアプリケーションに統合することで、企業の意思決定を促進します。予測期間中、サービス分野は最も高いCAGRで成長すると予測されています。


予測期間中、北米が最大の市場規模を占める見込み
予測期間中、北米はDataOpsプラットフォームの市場で最大の規模を占めると推定されます。この地域は、DataOpsプラットフォームの採用を促進するテクノロジー産業が盛んです。世界有数のテクノロジー企業の多くは北米に拠点を置いており、これらの企業はデータインフラと分析機能に多額の投資を行っています。データの管理と分析を容易にする新しいテクノロジーの出現が、北米におけるDataOpsプラットフォームの採用を促進しています。

プライマリーの内訳
DataOpsプラットフォーム市場で事業を展開する様々な主要組織の最高経営責任者（CEO）、イノベーション・技術責任者、システムインテグレーター、経営幹部に対して、詳細なインタビューを実施しました。
 企業別：ティアI：35％、ティアII：45％、ティアIII：20
 役職別C-レベルエグゼクティブ：35%, 取締役：25%, そしてその他：40%
 地域別APAC30％、欧州：20％、北米：45％、その他の地域：5
DataOpsプラットフォームのソリューションとサービスを提供する主要プレイヤーの調査も含まれています。世界市場における主要ベンダーのプロフィールを掲載しています。主要ベンダーは、Microsoft（米国）、IBM（米国）、Oracle（米国）、AWS（米国）、Informatica（米国）、Teradata（米国）、Wipro（インド）、Accenture（アイルランド）、SAS Institute（米国）、日立Vantara（米国）、DataKitchen（米国）、Atlan（シンガポール）、Dataiku（米国）、Fosfor（インド）、Databricks（米国）、StreamSets（米国）、Talend（米国）、Collibra（米国）、Celonis（米国）、 BMC Software（米国）、 Saagie（フランス）、Composable Analytics（米国）、 Tengu.io（ベルギー）、Unravel Data（米国）、Monte Carlo Data（米国）、Census（米国）、RightData（米国）、Zaloni（米国）、Datafold（米国）、DataOps.live（英国）、K2view（イスラエル）.
調査対象範囲
この市場調査は、セグメントにわたるDataOpsプラットフォームを対象としています。提供、タイプ、展開モード、垂直、地域などの異なるセグメントにおける市場規模および成長の可能性を推定することを目的としています。市場の主要企業の詳細な競合分析、会社概要、製品や事業の提供に関する主な見解、最近の開発、主要な市場戦略も含まれています。
レポート購入の主なメリット
本レポートは、本市場の市場リーダー／新規参入者に、DataOpsプラットフォーム市場全体とその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ものと思われます。本レポートは、関係者が競争環境を理解し、自社のビジネスを位置づけ、適切な市場参入戦略を計画するために、より良い洞察を得るのに役立つだろう。また、関係者が市場の鼓動を理解するのに役立ち、主要な市場促進要因、阻害要因、課題、および機会に関する情報を提供します。
本レポートは、以下のポイントに関する洞察を提供します：

- DataOpsプラットフォーム市場の成長に影響を与える主要な促進要因（データの複雑性とデータ量の増加、リアルタイムの洞察を得るニーズの増加、クラウドソリューションに対する需要の増加、データ駆動型洞察への幅広い注目）、阻害要因（データのプライバシーとセキュリティに関する懸念、高額投資による予算の制約）、機会（データエンジニアとデータアナリスト間のギャップを埋める必要、データチームが急速に変わる要件に追いつく必要）、課題（データOpsに関する認識と理解の欠如、熟練人材不足の課題を軽減する必要）についての解析

- 製品開発/イノベーション：DataOpsプラットフォーム市場における今後の技術、研究開発活動、新製品・サービス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DataOpsプラットフォーム市場を分析しています。

- 市場の多様化：新製品・サービス、未開拓の地域、最近の開発、DataOpsプラットフォーム市場戦略への投資に関する網羅的な情報。また、ステークホルダーがDataOpsプラットフォーム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ことができます。

- 競争力のある評価：DataOpsプラットフォーム市場におけるIBM（米国）、Microsoft（米国）、Oracle（米国）、AWS（米国）などの主要企業の市場シェア、成長戦略、サービス提供を詳細に評価します。

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目次

1 INTRODUCTION 43
1.1 STUDY OBJECTIVES 43
1.2 MARKET DEFINITION 43
1.2.1 INCLUSIONS AND EXCLUSIONS 44
1.3 STUDY SCOPE 45
1.3.1 MARKET SEGMENTATION 45
1.3.2 REGIONS COVERED 46
1.3.3 YEARS CONSIDERED 46
1.4 CURRENCY CONSIDERED 47
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019–2022 47
1.5 STAKEHOLDERS 47
2 RESEARCH METHODOLOGY 48
2.1 RESEARCH DATA 48
FIGURE 1 DATAOPS PLATFORM MARKET: RESEARCH DESIGN 48
2.1.1 SECONDARY DATA 49
2.1.2 PRIMARY DATA 49
TABLE 2 PRIMARY INTERVIEWS 50
2.1.2.1 Breakup of primary profiles 50
2.1.2.2 Key industry insights 51
2.2 DATA TRIANGULATION 52
2.3 MARKET SIZE ESTIMATION 53
FIGURE 2 DATAOPS PLATFORM MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 53
2.3.1 TOP-DOWN APPROACH 53
2.3.2 BOTTOM-UP APPROACH 54
FIGURE 3 APPROACH 1 (SUPPLY SIDE): REVENUE FROM OFFERINGS OF DATAOPS PLATFORM MARKET 54
FIGURE 4 APPROACH 2—BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM OFFERINGS OF DATAOPS PLATFORM PLAYERS 55
FIGURE 5 APPROACH 3—BOTTOM-UP (SUPPLY SIDE): REVENUE AND SUBSEQUENT MARKET ESTIMATION FROM OFFERINGS OF DATAOPS PLATFORMS 55
FIGURE 6 APPROACH 4—BOTTOM-UP (DEMAND SIDE): SHARE OF DATAOPS PLATFORM OFFERINGS THROUGH OVERALL DATAOPS PLATFORM SPENDING 56
2.4 MARKET FORECAST 57
TABLE 3 FACTOR ANALYSIS 57
2.5 ASSUMPTIONS 58
2.6 LIMITATIONS 59
2.7 IMPLICATIONS OF RECESSION ON GLOBAL DATAOPS PLATFORM MARKET 60
TABLE 4 IMPACT OF RECESSION ON THE GLOBAL DATAOPS PLATFORM MARKET 60
3 EXECUTIVE SUMMARY 62
TABLE 5 GLOBAL DATAOPS PLATFORM MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %) 63
TABLE 6 GLOBAL DATAOPS PLATFORM MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %) 63
FIGURE 7 PLATFORM SEGMENT TO DOMINATE MARKET IN 2023 63
FIGURE 8 PROFESSIONAL SERVICES TO BE LARGEST SERVICES SEGMENT IN 2023 64
FIGURE 9 CONSULTING SERVICES TO BE LARGEST PROFESSIONAL SERVICES SEGMENT IN MARKET IN 2023 64
FIGURE 10 CLOUD SEGMENT TO DOMINATE DATAOPS PLATFORM MARKET IN 2023 64
FIGURE 11 PUBLIC CLOUD ESTIMATED TO BE LARGEST SEGMENT IN 2023 65
FIGURE 12 AGILE DEVELOPMENT ESTIMATED TO BE LARGEST TYPE SEGMENT IN 2023 65
FIGURE 13 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 66
FIGURE 14 MARKET IN ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 66
4 PREMIUM INSIGHTS 67
4.1 ATTRACTIVE OPPORTUNITIES IN DATAOPS PLATFORM MARKET 67
FIGURE 15 RISING NEED TO GAIN REAL-TIME INSIGHTS FROM DATA TO DRIVE MARKET GROWTH 67
4.2 DATAOPS PLATFORM MARKET: BY TYPE 67
FIGURE 16 AGILE DEVELOPMENT SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 67
4.3 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY OFFERING AND TOP THREE VERTICALS 68
FIGURE 17 PLATFORM SEGMENT AND BFSI SEGMENT TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2023 68
4.4 DATAOPS PLATFORM MARKET: BY REGION 68
FIGURE 18 NORTH AMERICA TO HOLD THE LARGEST MARKET SHARE IN 2023 68
5 MARKET OVERVIEW AND INDUSTRY TRENDS 69
5.1 INTRODUCTION 69
5.2 MARKET DYNAMICS 69
FIGURE 19 DATAOPS PLATFORM MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 69
5.2.1 DRIVERS 70
5.2.1.1 Increased data complexity and data volume 70
5.2.1.2 Rise in need to gain real-time insights 70
5.2.1.3 Increased demand for cloud solutions 70
5.2.1.4 Extensive focus on data-driven insights 71
5.2.2 RESTRAINTS 71
5.2.2.1 Data privacy and security concerns 71
5.2.2.2 Budget constraints due to high investment 71
 
5.2.3 OPPORTUNITIES 72
5.2.3.1 Need to bridge gap between data engineers and data analysts 72
5.2.3.2 Need for data teams to keep pace with rapidly changing requirements 72
5.2.4 CHALLENGES 72
5.2.4.1 Lack of awareness and understanding of DataOps 72
5.2.4.2 Shortage of skilled talent 73
5.3 CASE STUDY ANALYSIS 73
5.3.1 HEALTHCARE AND LIFE SCIENCES 73
5.3.1.1 Large pharmaceutical business selected DataKitchen to offer timely analytical insights 73
5.3.1.2 Roche Diagnostic used DataOps.live platform to become a more agile data-driven business 74
5.3.2 BFSI 74
5.3.2.1 StreamSets enabled Aon to hold its position as a leader in the financial services sector 74
5.3.2.2 Fannie Mae selected Hitachi Vantara to deliver game-changing value to their business 75
5.3.3 RETAIL AND ECOMMERCE 75
5.3.3.1 Unravel Data enabled 84.51° to enhance operational efficiency 75
5.3.4 TELECOM 76
5.3.4.1 DataOps.live enables OneWeb to deliver great service through complete visibility of operations 76
5.3.5 MANUFACTURING 76
5.3.5.1 Clarios leverages Spectra and Snowflake to create next-gen data and analytics ecosystem 76
5.3.5.2 Hitachi Vantara helped metals industry manufacturers reduce equipment downtime 77
5.3.6 EDUCATION 77
5.3.6.1 Ad Astra selected StreamSets to tackle their data ingestion challenges 77
5.4 BRIEF HISTORY OF DATAOPS PLATFORMS 78
5.5 DATAOPS PLATFORM MARKET: ECOSYSTEM 78
TABLE 7 DATAOPS PLATFORM MARKET: CLOUD PROVIDERS 79
TABLE 8 DATAOPS PLATFORM MARKET: PLATFORM PROVIDERS 79
TABLE 9 DATAOPS PLATFORM MARKET: SERVICE PROVIDERS 80
TABLE 10 DATAOPS PLATFORM MARKET: REGULATORY BODIES 80
FIGURE 20 DATAOPS PLATFORM ECOSYSTEM 81
5.6 DATAOPS PLATFORM ARCHITECTURE 82
FIGURE 21 DATAOPS PLATFORM ARCHITECTURE 82
5.7 DATAOPS PROCESS STRUCTURE 83
FIGURE 22 DATAOPS PROCESS STRUCTURE 83
5.7.1 DATA ANALYTICS PIPELINES 83
5.7.2 CI/CD FOR DATA OPERATIONS 84
 
5.8 SUPPLY CHAIN ANALYSIS 85
FIGURE 23 SUPPLY CHAIN ANALYSIS: DATAOPS PLATFORM MARKET 85
5.9 PRICING MODEL ANALYSIS 86
TABLE 11 AVERAGE SELLING PRICE ANALYSIS, 2023 86
5.10 PATENT ANALYSIS 87
5.10.1 METHODOLOGY 87
5.10.2 DOCUMENT TYPE 87
TABLE 12 PATENTS FILED, 2013–2023 87
5.10.3 INNOVATION AND PATENT APPLICATIONS 87
FIGURE 24 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023 88
5.10.3.1 Top applicants 88
FIGURE 25 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS, 2013–2023 88
FIGURE 26 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023 89
TABLE 13 TOP 12 PATENT OWNERS IN THE DATAOPS PLATFORM MARKET, 2013–2023 89
TABLE 14 LIST OF PATENTS IN DATAOPS PLATFORM MARKET, 2021–2023 90
5.11 TECHNOLOGY ANALYSIS 92
5.11.1 RELATED TECHNOLOGY 92
5.11.1.1 Artificial intelligence 92
5.11.1.2 Machine learning 92
5.11.1.3 Big data 92
5.11.2 ALLIED TECHNOLOGY 93
5.11.2.1 DevOps 93
5.11.2.2 IoT 93
5.12 PORTER’S FIVE FORCES ANALYSIS 94
FIGURE 27 PORTER’S FIVE FORCES ANALYSIS 94
TABLE 15 PORTER’S FIVE FORCES ANALYSIS 94
5.12.1 THREAT OF NEW ENTRANTS 95
5.12.2 THREAT OF SUBSTITUTES 95
5.12.3 BARGAINING POWER OF SUPPLIERS 95
5.12.4 BARGAINING POWER OF BUYERS 95
5.12.5 INTENSITY OF COMPETITIVE RIVALRY 95
5.13 KEY CONFERENCES & EVENTS 96
TABLE 16 DATAOPS PLATFORM MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024 96
5.14 REGULATORY LANDSCAPE 96
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 96
TABLE 17 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 96
TABLE 18 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 97
TABLE 19 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 99
TABLE 20 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 100
5.14.2 REGULATIONS, BY REGION 100
5.14.2.1 North America 100
5.14.2.2 Europe 101
5.14.2.3 Asia Pacific 102
5.14.2.4 Middle East & Africa 102
5.14.2.5 Latin America 102
5.14.3 REGULATORY IMPLICATIONS AND INDUSTRY STANDARDS 103
5.14.3.1 General Data Protection Regulation 103
5.14.3.2 Securities and Exchange Commission Rule 17a-4 103
5.14.3.3 International Organization for Standardization/International Electrotechnical Commission 27001 103
5.14.3.4 System and Organization Controls 2 Type II Compliance 103
5.14.3.5 Financial Industry Regulatory Authority 104
5.14.3.6 Freedom of Information Act 104
5.14.3.7 Health Insurance Portability and Accountability Act 104
5.15 KEY STAKEHOLDERS & BUYING CRITERIA 104
5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS 104
FIGURE 28 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 104
TABLE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 105
5.15.2 BUYING CRITERIA 105
FIGURE 29 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 105
TABLE 22 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 105
5.16 DISRUPTIONS IMPACTING BUYERS/CLIENTS IN DATAOPS PLATFORM MARKET 106
FIGURE 30 DATAOPS PLATFORM MARKET: DISRUPTIONS IMPACTING BUYERS/CLIENTS 106
5.17 TECHNOLOGY ROADMAP OF DATAOPS PLATFORM 106
TABLE 23 SHORT-TERM ROADMAP, 2023–2025 106
TABLE 24 MID-TERM ROADMAP, 2026–2028 107
TABLE 25 LONG-TERM ROADMAP, 2029–2030 108
5.18 BUSINESS MODEL OF DATAOPS PLATFORM 109
5.18.1 API-BASED 109
5.18.2 CLOUD-BASED 110
5.19 KEY DIFFERENCES BETWEEN DATAOPS AND DEVOPS 110
5.20 FEATURES OF A DATAOPS PLATFORM 111
5.20.1 DATA PIPELINE ORCHESTRATION 111
5.20.2 TESTING AND PRODUCTION QUALITY 111
5.20.3 DEPLOYMENT AUTOMATION 111
5.20.4 DATA SCIENCE MODEL DEPLOYMENT/SANDBOX MANAGEMENT 111
 
5.21 BEST PRACTICES FOR DATAOPS PLATFORM MARKET 111
5.21.1 CATALOG DATA ASSETS AND PIPELINE 111
5.21.2 APPLY DATA GOVERNANCE FRAMEWORK 111
5.21.3 MONITOR, DOCUMENT, AND REMEDIATE DATA QUALITY 111
5.21.4 AUTOMATE DATA SOURCE AND PIPELINE DEPLOYMENT 112
5.21.5 MONITOR AND OPTIMIZE DATA SOURCE AND PIPELINE PERFORMANCE 112
6 DATAOPS PLATFORM MARKET, BY OFFERING 113
6.1 INTRODUCTION 114
6.1.1 OFFERING: DATAOPS PLATFORM MARKET DRIVERS 114
FIGURE 31 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 114
TABLE 26 DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 114
TABLE 27 DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 115
6.2 PLATFORM 115
TABLE 28 PLATFORM: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 115
TABLE 29 PLATFORM: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 116
6.2.1 DATA INTEGRATION 116
6.2.1.1 Ability to offer unified view of data and extract meaningful insights to drive demand 116
6.2.2 DATA QUALITY 116
6.2.2.1 Data quality features that help streamline data management processes to drive growth 116
6.2.3 DATA GOVERNANCE 117
6.2.3.1 Implementation of data governance to maintain data quality and security to spur adoption 117
6.2.4 MASTER DATA MANAGEMENT 117
6.2.4.1 Incorporation of master data management capabilities to ensure data accuracy and enhance data agility to boost growth 117
6.2.5 DATA ANALYTICS 117
6.2.5.1 Implementation of data analytics to make more strategically guided decisions to propel demand 117
6.2.6 AUTOMATION 118
6.2.6.1 Automation of repetitive and time-consuming tasks to reduce risk of errors to boost demand 118
6.2.7 COLLABORATION 118
6.2.7.1 Use of collaboration features to optimize DataOps processes to spur demand 118
6.2.8 DATA VISUALIZATION 118
6.2.8.1 Ability to drill down into specific data points and offer more detailed view of data to fuel adoption 118
6.2.9 OTHERS 119
6.2.9.1 Extensive use in gaining complete view of journey of data from source to destination to propel demand 119
6.3 SERVICES 119
FIGURE 32 TRAINING, SUPPORT, & MAINTENANCE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 119
TABLE 30 SERVICES: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 120
TABLE 31 SERVICES: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 120
TABLE 32 SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 120
TABLE 33 SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 120
6.3.1 PROFESSIONAL SERVICES 121
TABLE 34 PROFESSIONAL SERVICES: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 121
TABLE 35 PROFESSIONAL SERVICES: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 121
TABLE 36 PROFESSIONAL SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 121
TABLE 37 PROFESSIONAL SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 122
6.3.1.1 Consulting services 122
6.3.1.1.1 Rise in need to comply with various labor laws and regulations to drive demand 122
TABLE 38 CONSULTING SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 122
TABLE 39 CONSULTING SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 123
6.3.1.2 Deployment & integration 123
6.3.1.2.1 Increased adoption to reduce implementation time to propel demand 123
TABLE 40 DEPLOYMENT & INTEGRATION: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 123
TABLE 41 DEPLOYMENT & INTEGRATION: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 124
6.3.1.3 Training, support, & maintenance 124
6.3.1.3.1 Increased need for training, support, & maintenance services due to rise in adoption to support growth 124
TABLE 42 TRAINING, SUPPORT, & MAINTENANCE: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 124
TABLE 43 TRAINING, SUPPORT, & MAINTENANCE: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 125
6.3.2 MANAGED SERVICES 125
6.3.2.1 Ability to ensure system availability and minimize downtime to propel demand 125
TABLE 44 MANAGED SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 125
TABLE 45 MANAGED SERVICES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 126
7 DATAOPS PLATFORM MARKET, BY TYPE 127
7.1 INTRODUCTION 128
7.1.1 TYPE: DATAOPS PLATFORM MARKET DRIVERS 128
FIGURE 33 AGILE DEVELOPMENT SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 128
TABLE 46 DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 128
TABLE 47 DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 129
7.2 AGILE DEVELOPMENT 129
7.2.1 NEED TO OFFER EFFICIENT WORKFLOWS AND FASTER TIME-TO-MARKET FOR DATA ANALYTICS TO DRIVE GROWTH 129
TABLE 48 AGILE DEVELOPMENT: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 129
TABLE 49 AGILE DEVELOPMENT: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 130
7.3 DEVOPS 130
7.3.1 USE IN EFFICIENT DATAOPS PLATFORM DEVELOPMENT AND DELIVERY TO DRIVE DEMAND 130
TABLE 50 DEVOPS: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 130
TABLE 51 DEVOPS: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 131
7.4 LEAN MANUFACTURING 131
7.4.1 ABILITY TO ELIMINATE INEFFICIENCIES AND STREAMLINE DATA WORKFLOWS TO BOOST ADOPTION 131
TABLE 52 LEAN MANUFACTURING DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 131
TABLE 53 LEAN MANUFACTURING: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 132
8 DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE 133
8.1 INTRODUCTION 134
8.1.1 DEPLOYMENT MODE: DATAOPS PLATFORM MARKET DRIVERS 134
FIGURE 34 CLOUD SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 134
TABLE 54 DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 134
TABLE 55 DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 135
8.2 CLOUD 135
TABLE 56 CLOUD: DATAOPS PLATFORM MARKET, BY TYPE 2019–2022 (USD MILLION) 135
TABLE 57 CLOUD: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 135
TABLE 58 CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 136
TABLE 59 CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 136
 
8.2.1 PUBLIC CLOUD 136
8.2.1.1 Ability to eliminate expensive resources to drive demand 136
TABLE 60 PUBLIC CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 137
TABLE 61 PUBLIC CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 137
8.2.2 PRIVATE CLOUD 137
8.2.2.1 Ability to ensure compliance with data privacy regulations to support demand 137
TABLE 62 PRIVATE CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 138
TABLE 63 PRIVATE CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 138
8.2.3 HYBRID CLOUD 138
8.2.3.1 Ability to maintain control over critical data to propel demand 138
TABLE 64 HYBRID CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 139
TABLE 65 HYBRID CLOUD: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 139
8.3 ON-PREMISES 139
8.3.1 BENEFITS SUCH AS HIGH PERFORMANCE AND GREATER CONTROL TO BOOST ADOPTION 139
TABLE 66 ON-PREMISES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 140
TABLE 67 ON-PREMISES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 140
9 DATAOPS PLATFORM MARKET, BY VERTICAL 141
9.1 INTRODUCTION 142
9.1.1 VERTICAL: DATAOPS PLATFORM MARKET DRIVERS 142
FIGURE 35 HEALTHCARE & LIFE SCIENCES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 142
TABLE 68 DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 143
TABLE 69 DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 143
9.2 BFSI 144
TABLE 70 BFSI: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 144
TABLE 71 BFSI: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 144
9.2.1 FINANCIAL DATA OPTIMIZATION 145
9.2.1.1 Increased need to optimize data management and analytics capabilities to drive demand 145
9.2.2 FRAUDULENT TRANSACTIONS IDENTIFICATION 145
9.2.2.1 Rise in volume of financial transactions to spur adoption 145
9.2.3 CREDIT SCORING 146
9.2.3.1 Increased demand for fast and accurate credit decisions to boost demand 146
 
9.2.4 INVESTMENT ANALYSIS 146
9.2.4.1 Ability to offer wide range of tools and services to analyze large volume of data to drive demand 146
9.2.5 OTHER BFSI APPLICATIONS 147
9.2.5.1 Need to comply with regulations to protect financial stability of organizations to drive demand 147
9.3 HEALTHCARE & LIFE SCIENCES 147
TABLE 72 HEALTHCARE & LIFE SCIENCES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 148
TABLE 73 HEALTHCARE & LIFE SCIENCES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 148
9.3.1 CLINICAL TRIAL MANAGEMENT 148
9.3.1.1 Efficient clinical trial management to propel adoption 148
9.3.2 ELECTRONIC HEALTH RECORD 149
9.3.2.1 Ability to gain insights from patient data to drive demand 149
9.3.3 PRECISION MEDICINE 149
9.3.3.1 Ability to process large-scale data sets to drive adoption 149
9.3.4 DRUG DISCOVERY 149
9.3.4.1 Accelerated drug discovery through use of advanced technologies to fuel demand 149
9.3.5 OTHER HEALTHCARE & LIFE SCIENCES APPLICATIONS 150
9.3.5.1 Analyzing large volumes of data from patient populations to identify patterns in patient health to propel demand 150
9.4 RETAIL & ECOMMERCE 150
TABLE 74 RETAIL & ECOMMERCE: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 151
TABLE 75 RETAIL & ECOMMERCE: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 151
9.4.1 PRICING OPTIMIZATION 151
9.4.1.1 Use in identifying anomalies and irregularities to optimize pricing to drive adoption 151
9.4.2 PERSONALIZED PRODUCT RECOMMENDATION 152
9.4.2.1 Ability to process data from various sources in real-time for personalized product recommendations to propel demand 152
9.4.3 INVENTORY MANAGEMENT 152
9.4.3.1 Ability to offer real-time visibility into inventory levels to fuel adoption 152
9.4.4 DEMAND FORECASTING 152
9.4.4.1 Use in analyzing historical sales data and external factors to accurately forecast demand to drive demand 152
9.4.5 OTHER RETAIL & ECOMMERCE APPLICATIONS 153
9.4.5.1 Ability to proactively address return-related challenges and optimize operations to drive demand 153
 
9.5 MANUFACTURING 153
TABLE 76 MANUFACTURING: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 154
TABLE 77 MANUFACTURING: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 154
9.5.1 PREDICTIVE MAINTENANCE 154
9.5.1.1 Use in identifying potential issues to avoid equipment downtime to spur adoption 154
9.5.2 SUPPLY CHAIN OPTIMIZATION 155
9.5.2.1 Need to adopt data-driven strategies to effectively manage supply chains to propel demand 155
9.5.3 PRODUCT QUALITY CONTROL 155
9.5.3.1 Ability to gain real-time insights into manufacturing processes to identify quality issues to fuel adoption 155
9.5.4 PRODUCT PLANNING AND SCHEDULING 155
9.5.4.1 Leveraging advanced analytics and automation to optimize production schedules to drive demand 155
9.5.5 OTHER MANUFACTURING APPLICATIONS 156
9.5.5.1 Wide range of capabilities to enhance asset tracking and supplier management to boost adoption 156
9.6 GOVERNMENT & DEFENSE 156
TABLE 78 GOVERNMENT & DEFENSE: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 156
TABLE 79 GOVERNMENT & DEFENSE: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 157
9.6.1 PUBLIC SAFETY 157
9.6.1.1 Efficiently identifying and responding to potential threats to drive demand 157
9.6.2 INTELLIGENCE GATHERING AND ANALYSIS 157
9.6.2.1 Increased demand to share intelligence data across multiple agencies to propel demand 157
9.6.3 EMERGENCY RESPONSE 158
9.6.3.1 Ability to offer quick decision-making during emergencies to spur demand 158
9.6.4 GEOSPATIAL ANALYSIS 158
9.6.4.1 Use of advance analytics tools to efficiently analyze large volumes to propel adoption 158
9.6.5 OTHER GOVERNMENT & DEFENSE APPLICATIONS 158
9.6.5.1 Implementation in processing large volumes of data in real-time to respond to security breaches to drive demand 158
9.7 TELECOMMUNICATIONS 159
TABLE 80 TELECOMMUNICATIONS: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 159
TABLE 81 TELECOMMUNICATIONS: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 159
 
9.7.1 NETWORK SECURITY 160
9.7.1.1 Enhancing network security by providing real-time monitoring and management of network resources to drive demand 160
9.7.2 NETWORK PERFORMANCE 160
9.7.2.1 Automation of routine tasks to manage network performance to boost adoption 160
9.7.3 REAL-TIME ANALYTICS 160
9.7.3.1 Use of real-time analytics for quick response to network outages to propel adoption 160
9.7.4 NETWORK CAPACITY PLANNING 161
9.7.4.1 Collecting real-time data to make informed decisions to manage network capacity to boost adoption 161
9.7.5 OTHER TELECOMMUNICATIONS APPLICATIONS 161
9.7.5.1 Optimization of service delivery and call delivery to enhance customer satisfaction to fuel adoption 161
9.8 TRANSPORTATION & LOGISTICS 161
TABLE 82 TRANSPORTATION & LOGISTICS: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 162
TABLE 83 TRANSPORTATION &LOGISTICS: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 162
9.8.1 ROUTE OPTIMIZATION 162
9.8.1.1 Gathering real-time data on traffic conditions to create more accurate routes to boost adoption 162
9.8.2 REAL-TIME TRACKING 163
9.8.2.1 Ability to respond quickly to traffic congestion to drive adoption 163
9.8.3 FLEET MANAGEMENT 163
9.8.3.1 Increased need to optimize fleet management operations to enhance customer satisfaction to drive adoption 163
9.8.4 OTHER TRANSPORTATION & LOGISTICS APPLICATIONS 163
9.8.4.1 Ability to improve overall safety for both drivers and the public to spur demand 163
9.9 IT/ITES 164
TABLE 84 IT/ITES: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 164
TABLE 85 IT/ITES: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 164
9.9.1 SOFTWARE DEVELOPMENT 165
9.9.1.1 Need to boost development process while ensuring higher accuracy and quality of code to drive adoption 165
9.9.2 IT INFRASTRUCTURE MANAGEMENT 165
9.9.2.1 Need for real-time visibility into the performance of IT systems to optimize IT resources to boost adoption 165
9.9.3 APPLICATION PERFORMANCE MANAGEMENT 165
9.9.3.1 Ability to optimize the performance of applications to propel demand 165
9.9.4 INCIDENT MANAGEMENT 166
9.9.4.1 Increased need to respond quickly and effectively to incidents to drive demand 166
9.9.5 OTHER IT/ITES APPLICATIONS 166
9.9.5.1 Ability to streamline DevOps processes and enhance security posture to fuel adoption 166
9.10 MEDIA & ENTERTAINMENT 167
TABLE 86 MEDIA & ENTERTAINMENT: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 167
TABLE 87 MEDIA & ENTERTAINMENT: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 167
9.10.1 CONTENT RECOMMENDATION 168
9.10.1.1 Rise in demand for analyzing user data to predict viewer preferences and recommend content to boost adoption 168
9.10.2 AD TARGETING 168
9.10.2.1 Use in analyzing massive volumes of data in real-time to adjust ad targeting strategies to propel demand 168
9.10.3 CONTENT OPTIMIZATION 168
9.10.3.1 Leveraging power of data to optimize content for specific channels to drive demand 168
9.10.4 AUDIENCE SEGMENTATION 169
9.10.4.1 Use in processing large amounts of data to personalize content to fuel adoption 169
9.10.5 OTHER MEDIA & ENTERTAINMENT APPLICATIONS 169
9.10.5.1 Use in analyzing data on audience engagement to optimize content distribution strategies to drive demand 169
9.11 OTHER VERTICALS 169
9.11.1 LEVERAGING THE POWER OF DATA AND ANALYTICS TO STREAMLINE OPERATIONS AND IMPROVE SERVICES TO SPUR DEMAND 169
TABLE 88 OTHER VERTICALS: DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 170
TABLE 89 OTHER VERTICALS: DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 170
10 DATAOPS PLATFORM MARKET, BY REGION 171
10.1 INTRODUCTION 172
FIGURE 36 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 172
FIGURE 37 INDIA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 173
TABLE 90 DATAOPS PLATFORM MARKET, BY REGION, 2019–2022 (USD MILLION) 173
TABLE 91 DATAOPS PLATFORM MARKET, BY REGION, 2023–2028 (USD MILLION) 173
10.2 NORTH AMERICA 174
10.2.1 NORTH AMERICA: DATAOPS PLATFORM MARKET DRIVERS 174
10.2.2 NORTH AMERICA: RECESSION IMPACT 174
FIGURE 38 NORTH AMERICA: MARKET SNAPSHOT 175
TABLE 92 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 175
TABLE 93 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 176
TABLE 94 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY SERVICES, 2019–2022 (USD MILLION) 176
TABLE 95 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY SERVICES, 2023–2028 (USD MILLION) 176
TABLE 96 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2019–2022 (USD MILLION) 176
TABLE 97 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2023–2028 (USD MILLION) 177
TABLE 98 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 177
TABLE 99 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 177
TABLE 100 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2019–2022 (USD MILLION) 177
TABLE 101 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 178
TABLE 102 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 178
TABLE 103 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 178
TABLE 104 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 179
TABLE 105 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 179
TABLE 106 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 180
TABLE 107 NORTH AMERICA: DATAOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 180
10.2.3 US 180
10.2.3.1 Increased emphasis on data-driven decision-making to fuel growth of market 180
10.2.4 CANADA 181
10.2.4.1 Rise in need to gain valuable insights to enhance operational efficiency to propel market growth 181
10.3 EUROPE 181
10.3.1 EUROPE: DATAOPS PLATFORM MARKET DRIVERS 182
10.3.2 EUROPE: RECESSION IMPACT 182
TABLE 108 EUROPE: DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 182
TABLE 109 EUROPE: DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 183
TABLE 110 EUROPE: DATAOPS PLATFORM MARKET, BY SERVICES, 2019–2022 (USD MILLION) 183
TABLE 111 EUROPE: DATAOPS PLATFORM MARKET, BY SERVICES, 2023–2028 (USD MILLION) 183
TABLE 112 EUROPE: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2019–2022 (USD MILLION) 183
TABLE 113 EUROPE: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2023–2028 (USD MILLION) 184
TABLE 114 EUROPE: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 184
TABLE 115 EUROPE: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 184
TABLE 116 EUROPE: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2019–2022 (USD MILLION) 184
TABLE 117 EUROPE: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 185
TABLE 118 EUROPE: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 185
TABLE 119 EUROPE: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 185
TABLE 120 EUROPE: DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 186
TABLE 121 EUROPE: DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 186
TABLE 122 EUROPE: DATAOPS PLATFORM MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 187
TABLE 123 EUROPE: DATAOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 187
10.3.3 UK 187
10.3.3.1 Rise in volume of data generated in companies across several verticals to spur market growth 187
10.3.4 GERMANY 188
10.3.4.1 Increased need to manage data effectively to fuel market growth 188
10.3.5 FRANCE 188
10.3.5.1 Increased application across several business verticals to drive market growth 188
10.3.6 ITALY 189
10.3.6.1 Presence of supportive business ecosystem to drive market growth 189
10.3.7 SPAIN 189
10.3.7.1 Rise in investments in technology and favorable government policies to propel market growth 189
10.3.8 REST OF EUROPE 190
10.3.8.1 Rise in need to analyze large volumes of data generated to spur market growth 190
10.4 ASIA PACIFIC 190
10.4.1 ASIA PACIFIC: DATAOPS PLATFORM MARKET DRIVERS 190
10.4.2 ASIA PACIFIC: IMPACT OF RECESSION 191
FIGURE 39 ASIA PACIFIC: MARKET SNAPSHOT 192
TABLE 124 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY OFFERING, 2019–2022 (USD MILLION) 192
TABLE 125 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY OFFERING, 2023–2028 (USD MILLION) 193
TABLE 126 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY SERVICES, 2019–2022 (USD MILLION) 193
TABLE 127 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY SERVICES, 2023–2028 (USD MILLION) 193
TABLE 128 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2019–2022 (USD MILLION) 193
TABLE 129 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY PROFESSIONAL SERVICES, 2023–2028 (USD MILLION) 194
TABLE 130 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2019–2022 (USD MILLION) 194
TABLE 131 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION) 194
TABLE 132 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2019–2022 (USD MILLION) 194
TABLE 133 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 195
TABLE 134 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY TYPE, 2019–2022 (USD MILLION) 195
TABLE 135 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY TYPE, 2023–2028 (USD MILLION) 195
TABLE 136 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 196
TABLE 137 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 196
TABLE 138 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 197
TABLE 139 ASIA PACIFIC: DATAOPS PLATFORM MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 197
10.4.3 INDIA 198
10.4.3.1 Rise in adoption of advanced technologies for automated approach to data management to fuel market growth 198
10.4.4 JAPAN 198
10.4.4.1 Increased demand to improve efficiency and agility of data operations to propel market growth 198
10.4.5 CHINA 199
10.4.5.1 Increased willingness to foster technological developments and provide policy support to propel market growth 199
10.4.6 AUSTRALIA AND NEW ZEALAND 199
10.4.6.1 Rise in need to gain competitive advantage through data-driven insights to propel market growth 199
10.4.7 SOUTH KOREA 200
10.4.7.1 Increased focus on innovation and adoption of advanced technologies to drive market growth 200
10.4.8 ASEAN 201
10.4.8.1 Increased use in automating data analytics processes to speed up decision-making process to propel market growth 201
10.4.9 REST OF ASIA PACIFIC 201
10.4.9.1 Rise in competition from global players to drive market growth 201