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人工知能市場：製品（ハードウェア、ソフトウェア、サービス）、技術（機械学習、自然言語処理）、導入形態、組織規模、事業機能（法律、セキュリティ）、業種、地域別 - 2027年までの世界予測


Artificial Intelligence Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Natural Language Processing), Deployment Mode, Organization Size, Business Function (Law, Security), Vertical and Region - Global forecast to 2027

人工知能の市場規模は、2022年の869億米ドルから2027年には4070億米ドルへと、予測期間中に36.2%の複合年間成長率（CAGR）で拡大すると予想されています。音声認識の高速化や自然言語処理などは、AI分野の技術開... もっと見る

　

　

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MarketsandMarkets
マーケッツアンドマーケッツ 		2022年8月9日 US$4,950
シングルユーザライセンス
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サマリー

人工知能の市場規模は、2022年の869億米ドルから2027年には4070億米ドルへと、予測期間中に36.2%の複合年間成長率（CAGR）で拡大すると予想されています。音声認識の高速化や自然言語処理などは、AI分野の技術開発がビジネスに貢献している一例です。今後数年間、このような人工知能技術の開発がこの分野の成長を助けると予想されます。
ビジネスのイノベーターや経営者は、AIが約束するコストと時間の節約、そして競争上の優位性を実現しようと競い合っています。より迅速かつ正確な消費者行動データ分析は、企業が将来のマーケティング戦略やキャンペーンを計画する力を与え、AI市場の拡大に拍車をかけています。データ管理は、自社のどの方法が非効率的で、どれが最も効果的かをすべて理解するために、AIによって支援される。さらに、中間者、ランサムウェアなどを使用するサイバー犯罪者によって改ざんされることなく、意図したユーザーにデータが届くことを保証します。
そのようなIBM、マイクロソフト、AWS、インテル、グーグル、オラクル、セールスフォースなどの主要な市場参加者は、その市場シェアを高めるために、買収、新製品の発売、製品の強化、事業拡大を含む多くの成長戦略を採択しているを含む。
展開モードに基づくと、クラウド展開モードが予測期間中に最大の市場規模を記録する
展開モードに基づき、人工知能市場はオンプレミスとクラウド展開モードに区分される。予測期間中は、クラウド展開モードの市場規模が最も大きくなると予測される。スケーラビリティ、スピード、ITセキュリティは、すべてクラウド導入アプローチのメリットです。データ駆動型のイノベーションは、AIとクラウドコンピューティングの組み合わせから大きな恩恵を受ける。クラウド展開モードの人気は、AIと機械学習の認知力によって促進され、クラウド環境でスケーラブルかつ容易に利用できる大量のデータで繁栄します。


予測期間中、最も高いCAGRを占めるのは法律部門
人工知能市場は、業務機能に基づき、財務、セキュリティ、人事、法務、マーケティング・営業、その他の業務機能に区分されます。法律分野は、予測期間中に高いCAGRで成長すると予想されます。大規模な法律事務所と小規模な法律事務所の両方が、AI技術を使用する件数が増えています。人工知能技術、特に機械学習と自然言語処理は、効率性の向上、利益率の拡大、創造的で効果的な法律相談の提供などに活用されています。訴訟の増加や運用経費削減の要求の高まりにより、AIの市場は拡大しています。
予測期間中、アジア太平洋地域が最も高いCAGRを維持する見込み
アジア太平洋地域の人工知能市場は、2022年から2027年にかけて最も高いCAGRで成長すると予測されます。中国、インド、日本などの国々では、製造、ヘルスケア、小売、Eコマースなどのエンドユーザー産業におけるAIサービスの利用が、この増加の要因となり得ます。この地域では、近年、新しい技術や新興の技術の導入が活発化しています。コンピューティングシステムのストレージ、処理、データの可用性はすべて上昇し、その全体的な容量も増加しています。より自律的な新世代のAIシステムは、補完的な技術の融合によって可能となり、ハードウェアとソフトウェアの継続的な改良の結果、操作の自動化に対する需要が高まっています。
プライマリーの内訳
人工知能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た。
企業別ではティア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役職別：C-Level Executive 35%、D-Level Executive 25%、Managers 40
地域別APAC: 25%, ヨーロッパ: 30%, 北米: 30%, MEA: 10%, ラテンアメリカ: 5
このレポートには、人工知能を提供する主要企業の調査も含まれています。人工知能市場の主要ベンダーのプロフィールを掲載しています。人工知能市場の主要プレイヤーは、Google Inc.（米国）、Microsoft Corporation（米国）、NVIDIA Corporation（米国）、Intel Corporation（米国）、Samsung Electronics Co.(韓国）、IBM Corporation（米国）、Amazon Web Services, Inc.（米国）、Oracle（米国）、Meta（米国）、Salesforce（米国）、Cisco（米国）、Siemens（米国）、Huawei（中国）、SAP SE（ドイツ）、SAS Institute（米国）、百度（中国）、Alibaba Cloud（中国）、iFLYTEK（中国）、および Hewlett Packard Enterprise Development LP（米国）です。
調査対象範囲
本市場調査は、セグメントにわたる人工知能市場を対象としています。提供、技術、組織規模、展開モード、業務機能、業種、地域など、さまざまなセグメントにわたる市場規模や成長性の推定を目的としています。また、市場の主要企業の詳細な競合分析、企業プロファイル、製品および事業提供に関する主な見解、最近の開発、主要な市場戦略も掲載しています。
本レポートを購入する主な利点
本レポートは、この市場における市場リーダー/新規参入者に、人工知能市場全体とそのサブセグメントに関する収益数の最も近い概算に関する情報を提供することになるでしょう。利害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のより良い洞察を得るのに役立つでしょう。また、利害関係者が市場の脈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、機会に関する情報を提供します。

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目次

1 INTRODUCTION 58
1.1 STUDY OBJECTIVES 58
1.2 MARKET DEFINITION 58
1.2.1 INCLUSIONS AND EXCLUSIONS 59
1.3 MARKET SCOPE 60
1.3.1 MARKET SEGMENTATION 60
1.3.2 REGIONS COVERED 61
1.3.3 YEARS CONSIDERED 61
1.4 CURRENCY CONSIDERED 62
TABLE 1 USD EXCHANGE RATES, 2019–2021 62
1.5 STAKEHOLDERS 62
1.6 SUMMARY OF CHANGES 62
2 RESEARCH METHODOLOGY 63
2.1 RESEARCH DATA 63
FIGURE 1 ARTIFICIAL INTELLIGENCE MARKET: RESEARCH DESIGN 63
2.1.1 SECONDARY DATA 64
2.1.2 PRIMARY DATA 64
TABLE 2 PRIMARY INTERVIEWS 64
2.1.2.1 Breakup of primary profiles 65
2.1.2.2 Key industry insights 65
2.2 DATA TRIANGULATION 66
FIGURE 2 DATA TRIANGULATION 66
2.3 MARKET SIZE ESTIMATION 67
FIGURE 3 ARTIFICIAL INTELLIGENCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 67
2.3.1 TOP-DOWN APPROACH 67
2.3.2 BOTTOM-UP APPROACH 68
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY-SIDE), REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE 68
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2, BOTTOM-UP (SUPPLY-SIDE), COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE 69
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 3, BOTTOM-UP (SUPPLY-SIDE), REVENUE FROM SOLUTION/SERVICE PROVIDERS OF ARTIFICIAL INTELLIGENCE 70
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 4, BOTTOM-UP (DEMAND-SIDE), SHARE OF ARTIFICIAL INTELLIGENCE THROUGH OVERALL ARTIFICIAL INTELLIGENCE SPENDING 70
2.4 MARKET FORECAST 71
TABLE 3 FACTOR ANALYSIS 71
2.5 KEY COMPANY EVALUATION MATRIX METHODOLOGY 72
FIGURE 8 KEY COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 72
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY 73
FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 73
2.7 ASSUMPTIONS 73
2.8 LIMITATIONS 75
3 EXECUTIVE SUMMARY 76
TABLE 4 GLOBAL AI MARKET AND GROWTH RATE, 2016–2021 (USD BILLION, Y-O-Y) 76
TABLE 5 GLOBAL AI MARKET AND GROWTH RATE, 2022–2027 (USD BILLION, Y-O-Y) 77
FIGURE 10 SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2022 77
FIGURE 11 PROCESSORS SEGMENT TO DOMINATE MARKET IN 2022 77
FIGURE 12 ML FRAMEWORK TO DOMINATE MARKET IN 2022 78
FIGURE 13 DEPLOYMENT AND INTEGRATION TO ACCOUNT FOR LARGER MARKET IN 2022 78
FIGURE 14 MACHINE LEARNING SEGMENT TO BE LARGEST IN 2022 78
FIGURE 15 CLOUD DEPLOYMENT TO ACCOUNT FOR LARGER MARKET IN 2022 79
FIGURE 16 LARGE ENTERPRISES TO DOMINATE MARKET IN 2022 79
FIGURE 17 LAW TO ACCOUNT FOR LARGEST BUSINESS FUNCTION DURING FORECAST PERIOD 79
FIGURE 18 NORTH AMERICA TO ACCOUNT FOR LARGEST REGIONAL SHARE BY 2027 80
4 PREMIUM INSIGHTS 81
4.1 ATTRACTIVE OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE MARKET 81
FIGURE 19 RAPID SURGE OF CYBERSECURITY INCIDENTS DRIVING GROWTH OF AI 81
4.2 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR 81
FIGURE 20 GPU TO ACCOUNT FOR LARGEST MARKET, 2022 81
4.3 ARTIFICIAL INTELLIGENCE MARKET, BY KEY BUSINESS FUNCTION 82
FIGURE 21 MARKETING AND SALES TO ACCOUNT FOR LARGEST FUNCTION DURING FORECAST PERIOD 82
4.4 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING & KEY VERTICAL 82
FIGURE 22 SOFTWARE AND BFSI SEGMENTS TO ACCOUNT FOR SIGNIFICANT RESPECTIVE MARKET SHARES, 2022 82
4.5 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 83
FIGURE 23 NORTH AMERICA DOMINATED AI MARKET IN 2021 83
5 MARKET OVERVIEW AND INDUSTRY TRENDS 84
5.1 INTRODUCTION 84
5.2 MARKET DYNAMICS 84
FIGURE 24 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: ARTIFICIAL INTELLIGENCE MARKET 84
5.2.1 DRIVERS 85
5.2.1.1 Growth of data-based AI and advancement in deep learning 85
5.2.1.2 Need to achieve robotic autonomy to stay competitive in global market 85
5.2.2 RESTRAINTS 86
5.2.2.1 Limited number of AI experts 86
5.2.3 OPPORTUNITIES 86
5.2.3.1 Growth in ethical AI development to boost adoption of AI technology 86
5.2.3.2 Increase in government initiatives and growth in investments to leverage AI technology 86
5.2.4 CHALLENGES 87
5.2.4.1 Data security and privacy concerns 87
5.3 INVESTMENTS IN ARTIFICIAL INTELLIGENCE 87
TABLE 6 MAJOR INVESTMENTS IN ARTIFICIAL INTELLIGENCE, 2018–2021 87
5.4 ACQUISITIONS IN ARTIFICIAL INTELLIGENCE MARKET 89
TABLE 7 MAJOR ACQUISITIONS IN ARTIFICIAL INTELLIGENCE MARKET BETWEEN 2018 AND 2021 89
5.4.1 CUMULATIVE GROWTH ANALYSIS 91
5.5 EVOLUTION 91
FIGURE 25 EVOLUTION OF ARTIFICIAL INTELLIGENCE 91
5.6 ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM 92
TABLE 8 ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM 92
5.7 CASE STUDY ANALYSIS 94
5.7.1 RETAIL AND ECOMMERCE 94
5.7.1.1 Use Case 1: ASOS used Microsoft Azure ML service to reduce time-to-market for recommendation models 94
5.7.1.2 Use case 2: AWS helped Artfinder give recommendations to its customers 95
5.7.2 MARKETING AND SALES 95
5.7.2.1 Use Case 1: US Foods used Snowflake and DataRobot solutions to analyze transactions from 300,000 customers 95
5.7.2.2 Use case 2: Marketing technology companies use H2O.ai technology to deliver innovative marketing solutions 96
5.7.3 HEALTHCARE AND LIFESCIENCES 96
5.7.3.1 Use Case 1: Tamil Nadu eGovernance Agency (TNeGA) used an AI-based mobile app to enable screening of people for cataract 96
5.7.3.2 Use case 2: Inspire used ML to connect millions of patients and caregivers on AWS 97
5.7.4 FINTECH 97
5.7.4.1 Use Case 1: Humana used Watson Assistant to address customer queries 97
5.7.4.2 Use case 2: H2O Driverless AI used by various financial institutions to detect and prevent fraud 98
5.7.5 SECURITY 98
5.7.5.1 Use Case 1: Cybraics nLighten platform helped prevent systems from cyber threats 98
5.7.5.2 Use case 2: Cognizant created an AI-enabled smudging solution for an Indian insurance company to protect biometric data 98
5.7.6 AGRICULTURE 99
5.7.6.1 Use Case 1: Biochemical company built digital solution to deliver accurate product recommendations through AI 99
5.7.6.2 Use case 2: An agrochemical company used precision farming solution to predict Mildew disease in crops 99
5.7.7 MANUFACTURING 100
5.7.7.1 Use Case 1: Kia Motors America relied on advanced analytics and AI from SAS to improve products and customer satisfaction 100
5.7.7.2 Use case 2: Coca-Cola used IBM Watson services for Core ML to identify equipment issues, diagnose problems, and troubleshoot repairs 100
5.7.8 LAW 101
5.7.8.1 Use Case 1: Law Society of British Columbia (BC) used Dataiku for risk ranking and anomaly detection 101
5.7.8.2 Use case 2: Nia Contracts Analysis of Infosys leveraged advanced ML techniques to help customers derive insights from legal documents 101
5.7.9 CONSTRUCTION 102
5.7.9.1 Use Case 1: General Contractor leverages ALICE on Silicon Valley Project to save millions 102
5.8 TECHNOLOGY ANALYSIS 102
5.8.1 ARTIFICIAL INTELLIGENCE AND BIG DATA 102
5.8.2 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 102
5.8.3 ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING 103
5.9 SUPPLY CHAIN ANALYSIS 103
FIGURE 26 ARTIFICIAL INTELLIGENCE: SUPPLY CHAIN ANALYSIS 103
5.10 VALUE CHAIN ANALYSIS 104
FIGURE 27 ARTIFICIAL INTELLIGENCE: VALUE CHAIN ANALYSIS 104
5.11 PORTER’S FIVE FORCES ANALYSIS 105
FIGURE 28 ARTIFICIAL INTELLIGENCE: PORTER’S FIVE FORCES ANALYSIS 105
TABLE 9 ARTIFICIAL INTELLIGENCE MARKET: PORTER’S FIVE FORCES ANALYSIS 105
5.11.1 THREAT FROM NEW ENTRANTS 106
5.11.2 THREAT FROM SUBSTITUTES 106
5.11.3 BARGAINING POWER OF SUPPLIERS 106
5.11.4 BARGAINING POWER OF BUYERS 106
5.11.5 INTENSITY OF COMPETITIVE RIVALRY 107
5.12 PRICING MODEL ANALYSIS 107
TABLE 10 PRICING ANALYSIS 107
5.13 PATENT ANALYSIS 109
5.13.1 METHODOLOGY 109
5.13.2 DOCUMENT TYPE 109
TABLE 11 PATENTS FILED, 2018–2021 109
5.13.3 INNOVATION AND PATENT APPLICATIONS 109
FIGURE 29 ANNUAL NUMBER OF PATENTS GRANTED, 2018–2021 110
5.13.3.1 Top applicants 110
FIGURE 30 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2018–2021 110
TABLE 12 US: TOP 10 PATENT OWNERS IN ARTIFICIAL INTELLIGENCE MARKET, 2018–2021 110
5.14 KEY CONFERENCES AND EVENTS 111
TABLE 13 ARTIFICIAL INTELLIGENCE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2022–2023 111
5.15 TARIFF AND REGULATORY LANDSCAPE 112
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 112
TABLE 14 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 112
TABLE 15 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 112
TABLE 16 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 113
TABLE 17 MIDDLE EAST AND AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 113
TABLE 18 CENTRAL AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 114
TABLE 19 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 114
5.15.2 NORTH AMERICA: REGULATIONS 114
5.15.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA) 114
5.15.2.2 Gramm-Leach-Bliley (GLB) Act 114
5.15.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996 115
5.15.2.4 Federal Information Security Management Act (FISMA) 115
5.15.2.5 Federal Information Processing Standards (FIPS) 115
5.15.2.6 California Consumer Privacy Act (CSPA) 116
5.15.3 EUROPE: TARIFFS AND REGULATIONS 116
5.15.3.1 GDPR 2016/679 is a regulation in the EU 116
5.15.3.2 General Data Protection Regulation 116
5.15.3.3 European Committee for Standardization (CEN) 116
5.15.3.4 European Technical Standards Institute (ETSI) 116
5.16 KEY STAKEHOLDERS AND BUYING CRITERIA 117
5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS 117
TABLE 20 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE TECHNOLOGIES 117
5.16.2 BUYING CRITERIA 117
TABLE 21 KEY BUYING CRITERIA FOR TOP THREE TECHNOLOGIES 117
6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING 118
6.1 INTRODUCTION 119
6.1.1 OFFERING: MARKET DRIVERS 119
FIGURE 31 SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 119
TABLE 22 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION) 120
TABLE 23 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION) 120
6.2 HARDWARE 120
6.2.1 INCREASING COMPETITION LEADING TO VARIOUS LAUNCHES AND DEVELOPMENTS IN HARDWARE PLATFORMS 120
FIGURE 32 MEMORY HARDWARE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 121
TABLE 24 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2016–2021 (USD BILLION) 121
TABLE 25 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2022–2027 (USD BILLION) 121
TABLE 26 HARDWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 122
TABLE 27 HARDWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 122
6.2.2 PROCESSORS 122
6.2.2.1 Replacement of large hardware devices by smaller, powerful, and efficient chips 122
FIGURE 33 GRAPHICS PROCESSING UNIT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 123
TABLE 28 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2016–2021 (USD BILLION) 123
TABLE 29 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2022–2027 (USD BILLION) 123
TABLE 30 PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 124
TABLE 31 PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 124
6.2.2.2 Microprocessing unit 124
TABLE 32 MICROPROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 125
TABLE 33 MICROPROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 125
6.2.2.3 Graphics Processing Unit 125
TABLE 34 GRAPHICS PROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 126
TABLE 35 GRAPHICS PROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 126
6.2.2.4 Field Programmable Gate Arrays 126
TABLE 36 FIELD PROGRAMMABLE GATE ARRAYS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 127
TABLE 37 FIELD PROGRAMMABLE GATE ARRAYS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 127
6.2.2.5 Other processors 127
TABLE 38 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 128
TABLE 39 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 128
6.2.3 MEMORY 128
6.2.3.1 Memory solutions for AI technologies to offer high-performance memory to speed up large-scale processing 128
TABLE 40 MEMORY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 129
TABLE 41 MEMORY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 129
6.2.4 NETWORK 130
6.2.4.1 Network interconnects adapters for general and AI applications to offer high-speed data transfer 130
TABLE 42 NETWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 130
TABLE 43 NETWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 130
6.3 SOFTWARE 131
6.3.1 DEVELOPMENTS IN AI SOFTWARE SYNTHESIZE DATA AND INTEGRATE IT INTO COMPUTER SYSTEMS TO PERFORM COMPLEX OPERATIONS 131
FIGURE 34 APPLICATION PROGRAM INTERFACE TO GROW HIGHER CAGR DURING FORECAST PERIOD 131
TABLE 44 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2016–2021 (USD BILLION) 131
TABLE 45 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2022–2027 (USD BILLION) 132
TABLE 46 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 132
TABLE 47 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 132
6.3.2 APPLICATION PROGRAM INTERFACE 133
TABLE 48 APPLICATION PROGRAM INTERFACE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 133
TABLE 49 APPLICATION PROGRAM INTERFACE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 133
6.3.3 MACHINE LEARNING FRAMEWORK 134
TABLE 50 MACHINE LEARNING FRAMEWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 134
TABLE 51 MACHINE LEARNING FRAMEWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 134
6.4 SERVICES 135
6.4.1 COMPLEX ALGORITHMS TO PROVIDE ONLINE AND OFFLINE SUPPORT SERVICES TO AI VENDORS 135
FIGURE 35 DEPLOYMENT AND INTEGRATION TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 135
TABLE 52 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2016–2021 (USD BILLION) 135
TABLE 53 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2022–2027 (USD BILLION) 135
TABLE 54 SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 136
TABLE 55 SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 136
6.4.2 DEPLOYMENT AND INTEGRATION 136
TABLE 56 DEPLOYMENT AND INTEGRATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 137
TABLE 57 DEPLOYMENT AND INTEGRATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 137
6.4.3 SUPPORT AND MAINTENANCE 137
TABLE 58 SUPPORT AND MAINTENANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 138
TABLE 59 SUPPORT AND MAINTENANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 138
7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 139
7.1 INTRODUCTION 140
7.1.1 TECHNOLOGY: MARKET DRIVERS 140
FIGURE 36 COMPUTER VISION TECHNOLOGY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 140
TABLE 60 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION) 141
TABLE 61 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION) 141
7.2 MACHINE LEARNING 141
7.2.1 RAPID ADOPTION OF AI TECHNOLOGIES TO ENHANCE SYSTEM PERFORMANCE 141
FIGURE 37 DEEP LEARNING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 142
TABLE 62 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2016–2021 (USD BILLION) 142
TABLE 63 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2022–2027 (USD BILLION) 142
TABLE 64 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 143
TABLE 65 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 143
7.2.2 DEEP LEARNING 143
TABLE 66 DEEP LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 144
TABLE 67 DEEP LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 144
7.2.3 SUPERVISED LEARNING 144
TABLE 68 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 145
TABLE 69 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 145
7.2.4 UNSUPERVISED LEARNING 145
TABLE 70 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 146
TABLE 71 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 146
7.2.5 REINFORCEMENT LEARNING 146
TABLE 72 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 147
TABLE 73 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 147
7.2.6 OTHER MACHINE LEARNING TECHNOLOGIES 147
TABLE 74 OTHER MACHINE LEARNING TECHNOLOGIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 148
TABLE 75 OTHER MACHINE LEARNING TECHNOLOGIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 148
7.3 NATURAL LANGUAGE PROCESSING 148
7.3.1 OFFERS REAL-TIME TRANSLATION AND ALLOWS USERS TO COMMUNICATE IN NATURAL LANGUAGE WITH SYSTEMS 148
TABLE 76 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 149
TABLE 77 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 149
7.4 CONTEXT AWARENESS 149
7.4.1 DEMAND FOR HARD AND SOFT SENSORS LEADING TO GROWTH OF CONTEXT AWARENESS TO COPE WITH THREATS 149
TABLE 78 CONTEXT AWARENESS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 150
TABLE 79 CONTEXT AWARENESS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 150
7.5 COMPUTER VISION 151
7.5.1 DEVELOPMENTS IN AI TO AUTOMATE INSPECTION AND PRODUCE HIGH-QUALITY OUTPUTS 151
TABLE 80 COMPUTER VISION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 151
TABLE 81 COMPUTER VISION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 151
8 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE 152
8.1 INTRODUCTION 153
8.1.1 DEPLOYMENT MODE: MARKET DRIVERS 153
FIGURE 38 CLOUD DEPLOYMENT MODE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 153
TABLE 82 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION) 154
TABLE 83 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION) 154
8.2 ON-PREMISES 154
8.2.1 ABILITY TO OFFER SIGNIFICANT IMPROVEMENTS IN DATA VALIDATION AND STANDARDIZATION 154
TABLE 84 ON-PREMISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 155
TABLE 85 ON-PREMISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 155
8.3 CLOUD 155
8.3.1 CLOUD PROVIDES ADDITIONAL FLEXIBILITY FOR BUSINESS OPERATIONS AND REAL-TIME DEPLOYMENT 155
TABLE 86 CLOUD: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 156
TABLE 87 CLOUD: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 156
9 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE 157
9.1 INTRODUCTION 158
9.1.1 ORGANIZATION SIZE: MARKET DRIVERS 158
FIGURE 39 SMALL AND MEDIUM-SIZED ENTERPRISES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 158
TABLE 88 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION) 159
TABLE 89 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION) 159
9.2 SMALL AND MEDIUM-SIZED ENTERPRISES 159
9.2.1 AI TECHNOLOGIES TO AUTOMATE BUSINESS FORECASTS AND REDUCE RISK EXPOSURE 159
TABLE 90 SMALL AND MEDIUM-SIZED ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 160
TABLE 91 SMALL AND MEDIUM-SIZED ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 160
9.3 LARGE ENTERPRISES 160
9.3.1 AI TECHNOLOGIES TO ENHANCE OPERATIONS AND OFFER USEFUL INSIGHTS INTO CONSUMER TRENDS 160
TABLE 92 LARGE ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 161
TABLE 93 LARGE ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 161
10 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION 162
10.1 INTRODUCTION 163
10.1.1 BUSINESS FUNCTIONS: MARKET DRIVERS 163
FIGURE 40 LAW FUNCTION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 163
TABLE 94 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION) 164
TABLE 95 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION) 164
10.2 ARTIFICIAL INTELLIGENCE: ENTERPRISE USE CASES 164
10.3 FINANCE 165
10.3.1 ABILITY TO PROVIDE ACTIONABLE INSIGHTS BY DERIVING PAST TRANSACTIONAL DATA AND CUSTOMER DEMOGRAPHICS 165
TABLE 96 FINANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 165
TABLE 97 FINANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 165
10.3.2 ARTIFICIAL INTELLIGENCE IN ACCOUNTING 166
10.3.3 ARTIFICIAL INTELLIGENCE IN PAYROLL 166
10.3.4 ARTIFICIAL INTELLIGENCE IN FINANCIAL PLANNING AND ANALYSIS 166
10.4 SECURITY 166
10.4.1 RAPID ADOPTION OF AI TECHNOLOGIES TO MAINTAIN DATA CONFIDENTIALITY AND INTEGRITY 166
TABLE 98 SECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 167
TABLE 99 SECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 167
10.4.2 IDENTITY AND ACCESS MANAGEMENT 167
10.4.3 RISK AND COMPLIANCE MANAGEMENT 168
10.4.4 ENCRYPTION 168
10.4.5 DATA LOSS PREVENTION 168
10.4.6 UNIFIED THREAT MANAGEMENT 168
10.4.7 ANTIVIRUS/ANTIMALWARE 169
10.4.8 INTRUSION DETECTION/PREVENTION SYSTEMS 169
10.4.9 OTHER SECURITY SOLUTIONS 169
10.5 HUMAN RESOURCES 170
10.5.1 USE OF AI TECHNOLOGIES TO REVOLUTIONIZE HUMAN RESOURCE FUNCTIONS AND PRACTICES 170
TABLE 100 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 170
TABLE 101 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 170
10.5.2 VIRTUAL ASSISTANT 171
10.5.3 APPLICANT TRACKING AND ASSESSMENT 171
10.5.4 PERSONALIZED LEARNING AND DEVELOPMENT 171
10.5.5 HR ANALYTICS 171
10.5.6 JOB RECOMMENDATION 171
10.5.7 SENTIMENT ANALYSIS 171
10.6 LAW 172
10.6.1 ADOPTION OF AI TECHNOLOGIES TO PROVIDE EFFICIENT AND INNOVATIVE LEGAL ADVICE 172
TABLE 102 LAW: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 172
TABLE 103 LAW: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 172
10.6.2 EDISCOVERY 173
10.6.3 LEGAL RESEARCH 173
10.6.4 CONTRACT ANALYSIS 173
10.6.5 CASE PREDICTION 173
10.6.6 COMPLIANCE 173
10.6.7 OTHER APPLICATIONS 173
10.7 MARKETING AND SALES 173
10.7.1 USE OF AI TECHNOLOGIES TO OFFER PROGRAMMATIC TRENDS AND OPPORTUNITIES TO MARKETERS 173
TABLE 104 MARKETING AND SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 174
TABLE 105 MARKETING AND SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 175
10.7.2 SOCIAL MEDIA ADVERTISING 175
10.7.3 SEARCH ADVERTISING 175
10.7.4 DYNAMIC PRICING 175
10.7.5 VIRTUAL ASSISTANT 176
10.7.6 CONTENT CURATION 176
10.7.7 SALES AND MARKETING AUTOMATION 176
10.7.8 ANALYTICS PLATFORM 176
10.7.9 OTHER MARKETING AND SALES SOLUTIONS 176
10.8 OTHER BUSINESS FUNCTIONS 177
TABLE 106 OTHER BUSINESS FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 177
TABLE 107 OTHER BUSINESS FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 177
11 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL 178
11.1 INTRODUCTION 179
11.1.1 VERTICAL: MARKET DRIVERS 179
FIGURE 41 HEALTHCARE AND LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 179
TABLE 108 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION) 180
TABLE 109 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION) 180
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 181
11.2.1 AI HELPS TO ENHANCE CUSTOMER SERVICE 181
TABLE 110 BFSI: KEY USE CASES, BY APPLICATION 181
TABLE 111 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 182
TABLE 112 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 182
TABLE 113 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 182
TABLE 114 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 183
11.2.2 ENHANCED CUSTOMER EXPERIENCE 183
11.2.3 PREDICTION OF FUTURE OUTCOMES AND TRENDS 183
11.2.4 ROBOTIC AUTOMATION OF PROCESSES 183
11.2.5 CREDIT DECISIONS 183
11.3 RETAIL AND ECOMMERCE 184
11.3.1 AI HELPS UNDERSTAND CONSUMER BEHAVIOR, HELPING MARKETERS INFLUENCE THEIR BUYING DECISION 184
TABLE 115 RETAIL AND ECOMMERCE: KEY USE CASES, BY APPLICATION 184
TABLE 116 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 185
TABLE 117 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 185
TABLE 118 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 186
TABLE 119 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 186
11.3.2 PRODUCT RECOMMENDATION AND PLANNING 187
11.3.3 CUSTOMER RELATIONSHIP MANAGEMENT 187
11.3.4 VISUAL SEARCH 187
11.3.5 VIRTUAL ASSISTANT 187
11.3.6 PRICE OPTIMIZATION 188
11.3.7 PAYMENT SERVICES MANAGEMENT 188
11.3.8 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING 188
11.3.9 VIRTUAL STORES 188
11.3.10 OTHER APPLICATIONS 188
11.4 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS 189
11.4.1 AI ENHANCES USER EXPERIENCE AND CONVENIENT FEATURES IN HUMAN-MACHINE INTERFACE 189
TABLE 120 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: KEY USE CASES, BY APPLICATION 189
TABLE 121 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 190
TABLE 122 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 190
TABLE 123 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 191
TABLE 124 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 191
11.4.2 AUTONOMOUS DRIVING 191
11.4.3 HUMAN-MACHINE INTERFACE 191
11.4.4 SEMIAUTONOMOUS DRIVING 192
11.5 GOVERNMENT AND DEFENSE 192
11.5.1 AI TECHNOLOGIES TO HELP SOLVE COMPLEX PROBLEMS AND ENHANCE DECISION-MAKING PROCESS 192
TABLE 125 GOVERNMENT AND DEFENSE: KEY USE CASES, BY APPLICATION 193
TABLE 126 GOVERNMENT AND DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 193
TABLE 127 GOVERNMENT AND DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 193
TABLE 128 GOVERNMENT AND DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 194
TABLE 129 GOVERNMENT AND DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 194
11.5.2 CUSTOMER SERVICE CHATBOTS 194
11.5.3 AUTONOMOUS DRONES 195
11.5.4 SURVEILLANCE 195
11.5.5 PREDICTING A CRIME AND RECOMMENDING OPTIMAL POLICE PRESENCE 195
11.5.6 IDENTIFYING FRAUDULENT BENEFITS CLAIMS 195
11.6 HEALTHCARE AND LIFESCIENCES 195
11.6.1 USE OF AI TO ACCELERATE GROWTH OF MEDICAL IMAGING AND DIAGNOSTICS 195
TABLE 130 HEALTHCARE AND LIFESCIENCES: KEY USE CASES, BY APPLICATION 196
TABLE 131 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 196
TABLE 132 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 196
TABLE 133 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 197
TABLE 134 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 197
11.6.2 PATIENT DATA AND RISK ANALYSIS 198
11.6.3 LIFESTYLE MANAGEMENT AND MONITORING 198
11.6.4 PRECISION MEDICINE 198
11.6.5 INPATIENT CARE AND HOSPITAL MANAGEMENT 199
11.6.6 MEDICAL IMAGING AND DIAGNOSTICS 199
11.6.7 DRUG DISCOVERY 199
11.6.8 VIRTUAL ASSISTANT 199
11.6.9 WEARABLES 200
11.6.10 MEDICAL RESEARCH 200
11.7 IT/ITES 200
11.7.1 RISE IN COMPLEXITY AND FAST INNOVATIONS TO DRIVE NEED FOR AI TO MANAGE IT OPERATIONS EFFECTIVELY 200
TABLE 135 IT/ITES: KEY USE CASES, BY APPLICATION 201
TABLE 136 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 201
TABLE 137 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 201
TABLE 138 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 202
TABLE 139 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 202
11.7.2 PREDICTIVE MAINTENANCE 202
11.7.3 VIRTUAL ASSISTANTS FOR CUSTOMER SUPPORT 202
11.8 ENERGY AND UTILITIES 203
11.8.1 ADVANCED AI TECHNOLOGIES TO HELP BUILD ACCOUNTABLE, TRANSPARENT, FAIR, AND SECURE SYSTEMS 203
TABLE 140 ENERGY AND UTILITIES: KEY USE CASES, BY APPLICATION 203
TABLE 141 ENERGY AND UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 203
TABLE 142 ENERGY AND UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 204
TABLE 143 ENERGY AND UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 204
TABLE 144 ENERGY AND UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 204
11.8.2 ENERGY EFFICIENCY DECISION-MAKING 205
11.8.3 FAULT PREDICTION 205
11.8.4 ARTIFICIAL INTELLIGENCE IN POWER GRIDS - SMART GRIDS AND SECTOR COUPLING 205
11.8.5 ARTIFICIAL INTELLIGENCE IN ELECTRICITY TRADING 205
11.8.6 ARTIFICIAL INTELLIGENCE IN THE VIRTUAL POWER PLANT 206
11.8.7 ARTIFICIAL INTELLIGENCE IN THE SMART WATER METER 206
11.9 TELECOMMUNICATION 206
11.9.1 DEPLOYMENT OF AI SOLUTIONS TO ENHANCE CONTACT CENTER EFFECTIVENESS, REDUCE OPERATIONAL COSTS, AND IMPROVE SERVICE 206
TABLE 145 TELECOMMUNICATIONS: KEY USE CASES, BY APPLICATION 206
TABLE 146 TELECOMMUNICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 207
TABLE 147 TELECOMMUNICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 207
TABLE 148 TELECOMMUNICATION: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 207
TABLE 149 TELECOMMUNICATION: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 208
11.9.2 NETWORK OPTIMIZATION 208
11.9.3 NETWORK ANOMALIES 208
11.10 MANUFACTURING 208
11.10.1 AI TECHNOLOGIES ENHANCE PERFORMANCE AND REDUCE REDUNDANCIES IN MANUFACTURING 208
TABLE 150 MANUFACTURING: KEY USE CASES, BY APPLICATION 209
TABLE 151 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 209
TABLE 152 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 210
TABLE 153 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 210
TABLE 154 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 211
11.10.2 MATERIAL MOVEMENT 211
11.10.3 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION 211
11.10.4 PRODUCTION PLANNING 212
11.10.5 FIELD SERVICES 212
11.10.6 RECLAMATION 212
11.10.7 QUALITY CONTROL 212
11.10.8 PRODUCTION LINE OPTIMIZATION 212
11.11 OTHER VERTICALS 213
TABLE 155 OTHER VERTICALS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 213
TABLE 156 OTHER VERTICALS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 213
12 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 214
12.1 INTRODUCTION 215
FIGURE 42 CHINA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 215
FIGURE 43 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 216
TABLE 157 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 216
TABLE 158 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 216

　

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Summary

The artificial intelligence market size to grow from USD 86.9 billion in 2022 to USD 407.0 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 36.2% during the forecast period. Faster speech recognition and natural language processing are some instances of how technological developments in the AI sector are helping the businesses. In the upcoming years, it is anticipated that such developments in artificial intelligence technology would help the sector grow.
Business innovators and executives are racing to achieve AI's promise of cost and time savings as well as a competitive advantage. Faster and more precise consumer behaviour data analysis empowers companies to plan their future marketing strategies and campaigns, fueling the expansion of the AI market. Data management is assisted by AI in understanding which of their methods are inefficient and which are all the most effective. Additionally, it ensures that data reaches the intended user without being tampered by cybercriminals using man-in-the-middle, ransomware, or other forms of cyberattack.
The major market players such as include IBM, Microsoft, AWS, Intel, Google, Oracle and Salesforce have adopted numerous growth strategies, which include acquisitions, new product launches, product enhancements, and business expansions, to enhance their market shares.
Based on deployment mode, cloud deployment mode to register for the largest market size during the forecast period
Based on the deployment mode, the artificial intelligence market is segmented into on-premises and cloud deployment mode. The market size of the cloud deployment mode segment is estimated to be the largest during the forecast period. Scalability, speed, and IT security are all benefits of the cloud deployment approach. Data-driven innovation benefits greatly from the combination of AI and Cloud computing. The popularity of the cloud deployment mode is facilitated by the cognitive powers of AI and machine learning, which thrive on massive volumes of data that are scalable and easily available in a cloud environment.


The Law segment to account for the highest CAGR during the forecast period
Based on business function, the artificial intelligence market is segmented into Finance, Security, Human Resources, Law, Marketing and Sales and other business functions. The Law segment is expected grow at a higher CAGR during the forecast period. Large and small legal firms both are using AI technologies in growing numbers. Artificial intelligence technology, in particular Machine Learning and Natural Language Processing, are being used to boost efficiency, expand profit margins, and offer creative and effective legal counsel. The market for AI is expanding as a result of rising litigation and rising demand to cut operational expenses.
Asia Pacific to hold highest CAGR during the forecast period
The Asia Pacific artificial intelligence market is expected to grow at the highest CAGR of 40.8% from 2022 to 2027. In countries such as China, India, Japan, and others, the use of AI services in end user industries like manufacturing, healthcare, retail, and e-commerce can be responsible for this increase. In this region, the adoption of new and emerging technologies has gained momentum in recent years. The storage, processing, and data availability of computing systems have all risen, as well as their overall capacity. A new generation of more autonomous AI systems has been made possible by the convergence of complementary technologies, which has increased the demand for automating operations as a result of ongoing improvements in hardware and software.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the artificial intelligence market.
 By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
 By Designation: C-Level Executives: 35%, D-Level Executives: 25%, and Managers: 40%
 By Region: APAC: 25%, Europe: 30%, North America: 30%, MEA: 10%, Latin America: 5%
The report includes the study of key players offering artificial intelligence. It profiles major vendors in the artificial intelligence market. The major players in the artificial intelligence market include Google Inc. (US), Microsoft Corporation (US), NVIDIA Corporation (US), Intel Corporation (US), Samsung Electronics Co., Ltd. (South Korea), IBM Corporation (US), Amazon Web Services, Inc. (US), Oracle (US), Meta (US), Salesforce (US), Cisco (US), Siemens (US), Huawei (China), SAP SE (Germany), SAS Institute (US), Baidu, Inc. (China), Alibaba Cloud (China), iFLYTEK (China), and Hewlett Packard Enterprise Development LP (US).
Research Coverage
The market study covers the artificial intelligence market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as offering, technology, organization size, deployment mode, business function, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall artificial intelligence market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.



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Table of Contents

1 INTRODUCTION 58
1.1 STUDY OBJECTIVES 58
1.2 MARKET DEFINITION 58
1.2.1 INCLUSIONS AND EXCLUSIONS 59
1.3 MARKET SCOPE 60
1.3.1 MARKET SEGMENTATION 60
1.3.2 REGIONS COVERED 61
1.3.3 YEARS CONSIDERED 61
1.4 CURRENCY CONSIDERED 62
TABLE 1 USD EXCHANGE RATES, 2019–2021 62
1.5 STAKEHOLDERS 62
1.6 SUMMARY OF CHANGES 62
2 RESEARCH METHODOLOGY 63
2.1 RESEARCH DATA 63
FIGURE 1 ARTIFICIAL INTELLIGENCE MARKET: RESEARCH DESIGN 63
2.1.1 SECONDARY DATA 64
2.1.2 PRIMARY DATA 64
TABLE 2 PRIMARY INTERVIEWS 64
2.1.2.1 Breakup of primary profiles 65
2.1.2.2 Key industry insights 65
2.2 DATA TRIANGULATION 66
FIGURE 2 DATA TRIANGULATION 66
2.3 MARKET SIZE ESTIMATION 67
FIGURE 3 ARTIFICIAL INTELLIGENCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 67
2.3.1 TOP-DOWN APPROACH 67
2.3.2 BOTTOM-UP APPROACH 68
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY-SIDE), REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE 68
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2, BOTTOM-UP (SUPPLY-SIDE), COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF ARTIFICIAL INTELLIGENCE 69
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 3, BOTTOM-UP (SUPPLY-SIDE), REVENUE FROM SOLUTION/SERVICE PROVIDERS OF ARTIFICIAL INTELLIGENCE 70
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 4, BOTTOM-UP (DEMAND-SIDE), SHARE OF ARTIFICIAL INTELLIGENCE THROUGH OVERALL ARTIFICIAL INTELLIGENCE SPENDING 70
2.4 MARKET FORECAST 71
TABLE 3 FACTOR ANALYSIS 71
2.5 KEY COMPANY EVALUATION MATRIX METHODOLOGY 72
FIGURE 8 KEY COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 72
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY 73
FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 73
2.7 ASSUMPTIONS 73
2.8 LIMITATIONS 75
3 EXECUTIVE SUMMARY 76
TABLE 4 GLOBAL AI MARKET AND GROWTH RATE, 2016–2021 (USD BILLION, Y-O-Y) 76
TABLE 5 GLOBAL AI MARKET AND GROWTH RATE, 2022–2027 (USD BILLION, Y-O-Y) 77
FIGURE 10 SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2022 77
FIGURE 11 PROCESSORS SEGMENT TO DOMINATE MARKET IN 2022 77
FIGURE 12 ML FRAMEWORK TO DOMINATE MARKET IN 2022 78
FIGURE 13 DEPLOYMENT AND INTEGRATION TO ACCOUNT FOR LARGER MARKET IN 2022 78
FIGURE 14 MACHINE LEARNING SEGMENT TO BE LARGEST IN 2022 78
FIGURE 15 CLOUD DEPLOYMENT TO ACCOUNT FOR LARGER MARKET IN 2022 79
FIGURE 16 LARGE ENTERPRISES TO DOMINATE MARKET IN 2022 79
FIGURE 17 LAW TO ACCOUNT FOR LARGEST BUSINESS FUNCTION DURING FORECAST PERIOD 79
FIGURE 18 NORTH AMERICA TO ACCOUNT FOR LARGEST REGIONAL SHARE BY 2027 80
4 PREMIUM INSIGHTS 81
4.1 ATTRACTIVE OPPORTUNITIES IN ARTIFICIAL INTELLIGENCE MARKET 81
FIGURE 19 RAPID SURGE OF CYBERSECURITY INCIDENTS DRIVING GROWTH OF AI 81
4.2 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR 81
FIGURE 20 GPU TO ACCOUNT FOR LARGEST MARKET, 2022 81
4.3 ARTIFICIAL INTELLIGENCE MARKET, BY KEY BUSINESS FUNCTION 82
FIGURE 21 MARKETING AND SALES TO ACCOUNT FOR LARGEST FUNCTION DURING FORECAST PERIOD 82
4.4 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING & KEY VERTICAL 82
FIGURE 22 SOFTWARE AND BFSI SEGMENTS TO ACCOUNT FOR SIGNIFICANT RESPECTIVE MARKET SHARES, 2022 82
4.5 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 83
FIGURE 23 NORTH AMERICA DOMINATED AI MARKET IN 2021 83
5 MARKET OVERVIEW AND INDUSTRY TRENDS 84
5.1 INTRODUCTION 84
5.2 MARKET DYNAMICS 84
FIGURE 24 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: ARTIFICIAL INTELLIGENCE MARKET 84
5.2.1 DRIVERS 85
5.2.1.1 Growth of data-based AI and advancement in deep learning 85
5.2.1.2 Need to achieve robotic autonomy to stay competitive in global market 85
5.2.2 RESTRAINTS 86
5.2.2.1 Limited number of AI experts 86
5.2.3 OPPORTUNITIES 86
5.2.3.1 Growth in ethical AI development to boost adoption of AI technology 86
5.2.3.2 Increase in government initiatives and growth in investments to leverage AI technology 86
5.2.4 CHALLENGES 87
5.2.4.1 Data security and privacy concerns 87
5.3 INVESTMENTS IN ARTIFICIAL INTELLIGENCE 87
TABLE 6 MAJOR INVESTMENTS IN ARTIFICIAL INTELLIGENCE, 2018–2021 87
5.4 ACQUISITIONS IN ARTIFICIAL INTELLIGENCE MARKET 89
TABLE 7 MAJOR ACQUISITIONS IN ARTIFICIAL INTELLIGENCE MARKET BETWEEN 2018 AND 2021 89
5.4.1 CUMULATIVE GROWTH ANALYSIS 91
5.5 EVOLUTION 91
FIGURE 25 EVOLUTION OF ARTIFICIAL INTELLIGENCE 91
5.6 ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM 92
TABLE 8 ARTIFICIAL INTELLIGENCE MARKET ECOSYSTEM 92
5.7 CASE STUDY ANALYSIS 94
5.7.1 RETAIL AND ECOMMERCE 94
5.7.1.1 Use Case 1: ASOS used Microsoft Azure ML service to reduce time-to-market for recommendation models 94
5.7.1.2 Use case 2: AWS helped Artfinder give recommendations to its customers 95
5.7.2 MARKETING AND SALES 95
5.7.2.1 Use Case 1: US Foods used Snowflake and DataRobot solutions to analyze transactions from 300,000 customers 95
5.7.2.2 Use case 2: Marketing technology companies use H2O.ai technology to deliver innovative marketing solutions 96
5.7.3 HEALTHCARE AND LIFESCIENCES 96
5.7.3.1 Use Case 1: Tamil Nadu eGovernance Agency (TNeGA) used an AI-based mobile app to enable screening of people for cataract 96
5.7.3.2 Use case 2: Inspire used ML to connect millions of patients and caregivers on AWS 97
5.7.4 FINTECH 97
5.7.4.1 Use Case 1: Humana used Watson Assistant to address customer queries 97
5.7.4.2 Use case 2: H2O Driverless AI used by various financial institutions to detect and prevent fraud 98
5.7.5 SECURITY 98
5.7.5.1 Use Case 1: Cybraics nLighten platform helped prevent systems from cyber threats 98
5.7.5.2 Use case 2: Cognizant created an AI-enabled smudging solution for an Indian insurance company to protect biometric data 98
5.7.6 AGRICULTURE 99
5.7.6.1 Use Case 1: Biochemical company built digital solution to deliver accurate product recommendations through AI 99
5.7.6.2 Use case 2: An agrochemical company used precision farming solution to predict Mildew disease in crops 99
5.7.7 MANUFACTURING 100
5.7.7.1 Use Case 1: Kia Motors America relied on advanced analytics and AI from SAS to improve products and customer satisfaction 100
5.7.7.2 Use case 2: Coca-Cola used IBM Watson services for Core ML to identify equipment issues, diagnose problems, and troubleshoot repairs 100
5.7.8 LAW 101
5.7.8.1 Use Case 1: Law Society of British Columbia (BC) used Dataiku for risk ranking and anomaly detection 101
5.7.8.2 Use case 2: Nia Contracts Analysis of Infosys leveraged advanced ML techniques to help customers derive insights from legal documents 101
5.7.9 CONSTRUCTION 102
5.7.9.1 Use Case 1: General Contractor leverages ALICE on Silicon Valley Project to save millions 102
5.8 TECHNOLOGY ANALYSIS 102
5.8.1 ARTIFICIAL INTELLIGENCE AND BIG DATA 102
5.8.2 ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING 102
5.8.3 ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING 103
5.9 SUPPLY CHAIN ANALYSIS 103
FIGURE 26 ARTIFICIAL INTELLIGENCE: SUPPLY CHAIN ANALYSIS 103
5.10 VALUE CHAIN ANALYSIS 104
FIGURE 27 ARTIFICIAL INTELLIGENCE: VALUE CHAIN ANALYSIS 104
5.11 PORTER’S FIVE FORCES ANALYSIS 105
FIGURE 28 ARTIFICIAL INTELLIGENCE: PORTER’S FIVE FORCES ANALYSIS 105
TABLE 9 ARTIFICIAL INTELLIGENCE MARKET: PORTER’S FIVE FORCES ANALYSIS 105
5.11.1 THREAT FROM NEW ENTRANTS 106
5.11.2 THREAT FROM SUBSTITUTES 106
5.11.3 BARGAINING POWER OF SUPPLIERS 106
5.11.4 BARGAINING POWER OF BUYERS 106
5.11.5 INTENSITY OF COMPETITIVE RIVALRY 107
5.12 PRICING MODEL ANALYSIS 107
TABLE 10 PRICING ANALYSIS 107
5.13 PATENT ANALYSIS 109
5.13.1 METHODOLOGY 109
5.13.2 DOCUMENT TYPE 109
TABLE 11 PATENTS FILED, 2018–2021 109
5.13.3 INNOVATION AND PATENT APPLICATIONS 109
FIGURE 29 ANNUAL NUMBER OF PATENTS GRANTED, 2018–2021 110
5.13.3.1 Top applicants 110
FIGURE 30 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2018–2021 110
TABLE 12 US: TOP 10 PATENT OWNERS IN ARTIFICIAL INTELLIGENCE MARKET, 2018–2021 110
5.14 KEY CONFERENCES AND EVENTS 111
TABLE 13 ARTIFICIAL INTELLIGENCE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2022–2023 111
5.15 TARIFF AND REGULATORY LANDSCAPE 112
5.15.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 112
TABLE 14 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 112
TABLE 15 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 112
TABLE 16 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 113
TABLE 17 MIDDLE EAST AND AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 113
TABLE 18 CENTRAL AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 114
TABLE 19 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 114
5.15.2 NORTH AMERICA: REGULATIONS 114
5.15.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA) 114
5.15.2.2 Gramm-Leach-Bliley (GLB) Act 114
5.15.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996 115
5.15.2.4 Federal Information Security Management Act (FISMA) 115
5.15.2.5 Federal Information Processing Standards (FIPS) 115
5.15.2.6 California Consumer Privacy Act (CSPA) 116
5.15.3 EUROPE: TARIFFS AND REGULATIONS 116
5.15.3.1 GDPR 2016/679 is a regulation in the EU 116
5.15.3.2 General Data Protection Regulation 116
5.15.3.3 European Committee for Standardization (CEN) 116
5.15.3.4 European Technical Standards Institute (ETSI) 116
5.16 KEY STAKEHOLDERS AND BUYING CRITERIA 117
5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS 117
TABLE 20 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE TECHNOLOGIES 117
5.16.2 BUYING CRITERIA 117
TABLE 21 KEY BUYING CRITERIA FOR TOP THREE TECHNOLOGIES 117
6 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING 118
6.1 INTRODUCTION 119
6.1.1 OFFERING: MARKET DRIVERS 119
FIGURE 31 SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 119
TABLE 22 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION) 120
TABLE 23 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION) 120
6.2 HARDWARE 120
6.2.1 INCREASING COMPETITION LEADING TO VARIOUS LAUNCHES AND DEVELOPMENTS IN HARDWARE PLATFORMS 120
FIGURE 32 MEMORY HARDWARE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 121
TABLE 24 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2016–2021 (USD BILLION) 121
TABLE 25 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2022–2027 (USD BILLION) 121
TABLE 26 HARDWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 122
TABLE 27 HARDWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 122
6.2.2 PROCESSORS 122
6.2.2.1 Replacement of large hardware devices by smaller, powerful, and efficient chips 122
FIGURE 33 GRAPHICS PROCESSING UNIT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 123
TABLE 28 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2016–2021 (USD BILLION) 123
TABLE 29 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2022–2027 (USD BILLION) 123
TABLE 30 PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 124
TABLE 31 PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 124
6.2.2.2 Microprocessing unit 124
TABLE 32 MICROPROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 125
TABLE 33 MICROPROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 125
6.2.2.3 Graphics Processing Unit 125
TABLE 34 GRAPHICS PROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 126
TABLE 35 GRAPHICS PROCESSING UNIT: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 126
6.2.2.4 Field Programmable Gate Arrays 126
TABLE 36 FIELD PROGRAMMABLE GATE ARRAYS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 127
TABLE 37 FIELD PROGRAMMABLE GATE ARRAYS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 127
6.2.2.5 Other processors 127
TABLE 38 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 128
TABLE 39 OTHER PROCESSORS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 128
6.2.3 MEMORY 128
6.2.3.1 Memory solutions for AI technologies to offer high-performance memory to speed up large-scale processing 128
TABLE 40 MEMORY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 129
TABLE 41 MEMORY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 129
6.2.4 NETWORK 130
6.2.4.1 Network interconnects adapters for general and AI applications to offer high-speed data transfer 130
TABLE 42 NETWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 130
TABLE 43 NETWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 130
6.3 SOFTWARE 131
6.3.1 DEVELOPMENTS IN AI SOFTWARE SYNTHESIZE DATA AND INTEGRATE IT INTO COMPUTER SYSTEMS TO PERFORM COMPLEX OPERATIONS 131
FIGURE 34 APPLICATION PROGRAM INTERFACE TO GROW HIGHER CAGR DURING FORECAST PERIOD 131
TABLE 44 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2016–2021 (USD BILLION) 131
TABLE 45 ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2022–2027 (USD BILLION) 132
TABLE 46 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 132
TABLE 47 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 132
6.3.2 APPLICATION PROGRAM INTERFACE 133
TABLE 48 APPLICATION PROGRAM INTERFACE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 133
TABLE 49 APPLICATION PROGRAM INTERFACE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 133
6.3.3 MACHINE LEARNING FRAMEWORK 134
TABLE 50 MACHINE LEARNING FRAMEWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 134
TABLE 51 MACHINE LEARNING FRAMEWORK: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 134
6.4 SERVICES 135
6.4.1 COMPLEX ALGORITHMS TO PROVIDE ONLINE AND OFFLINE SUPPORT SERVICES TO AI VENDORS 135
FIGURE 35 DEPLOYMENT AND INTEGRATION TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 135
TABLE 52 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2016–2021 (USD BILLION) 135
TABLE 53 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2022–2027 (USD BILLION) 135
TABLE 54 SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 136
TABLE 55 SERVICES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 136
6.4.2 DEPLOYMENT AND INTEGRATION 136
TABLE 56 DEPLOYMENT AND INTEGRATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 137
TABLE 57 DEPLOYMENT AND INTEGRATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 137
6.4.3 SUPPORT AND MAINTENANCE 137
TABLE 58 SUPPORT AND MAINTENANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 138
TABLE 59 SUPPORT AND MAINTENANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 138
7 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY 139
7.1 INTRODUCTION 140
7.1.1 TECHNOLOGY: MARKET DRIVERS 140
FIGURE 36 COMPUTER VISION TECHNOLOGY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 140
TABLE 60 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION) 141
TABLE 61 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION) 141
7.2 MACHINE LEARNING 141
7.2.1 RAPID ADOPTION OF AI TECHNOLOGIES TO ENHANCE SYSTEM PERFORMANCE 141
FIGURE 37 DEEP LEARNING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 142
TABLE 62 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2016–2021 (USD BILLION) 142
TABLE 63 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2022–2027 (USD BILLION) 142
TABLE 64 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 143
TABLE 65 MACHINE LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 143
7.2.2 DEEP LEARNING 143
TABLE 66 DEEP LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 144
TABLE 67 DEEP LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 144
7.2.3 SUPERVISED LEARNING 144
TABLE 68 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 145
TABLE 69 SUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 145
7.2.4 UNSUPERVISED LEARNING 145
TABLE 70 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 146
TABLE 71 UNSUPERVISED LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 146
7.2.5 REINFORCEMENT LEARNING 146
TABLE 72 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 147
TABLE 73 REINFORCEMENT LEARNING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 147
7.2.6 OTHER MACHINE LEARNING TECHNOLOGIES 147
TABLE 74 OTHER MACHINE LEARNING TECHNOLOGIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 148
TABLE 75 OTHER MACHINE LEARNING TECHNOLOGIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 148
7.3 NATURAL LANGUAGE PROCESSING 148
7.3.1 OFFERS REAL-TIME TRANSLATION AND ALLOWS USERS TO COMMUNICATE IN NATURAL LANGUAGE WITH SYSTEMS 148
TABLE 76 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 149
TABLE 77 NATURAL LANGUAGE PROCESSING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 149
7.4 CONTEXT AWARENESS 149
7.4.1 DEMAND FOR HARD AND SOFT SENSORS LEADING TO GROWTH OF CONTEXT AWARENESS TO COPE WITH THREATS 149
TABLE 78 CONTEXT AWARENESS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 150
TABLE 79 CONTEXT AWARENESS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 150
7.5 COMPUTER VISION 151
7.5.1 DEVELOPMENTS IN AI TO AUTOMATE INSPECTION AND PRODUCE HIGH-QUALITY OUTPUTS 151
TABLE 80 COMPUTER VISION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 151
TABLE 81 COMPUTER VISION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 151
8 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE 152
8.1 INTRODUCTION 153
8.1.1 DEPLOYMENT MODE: MARKET DRIVERS 153
FIGURE 38 CLOUD DEPLOYMENT MODE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 153
TABLE 82 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION) 154
TABLE 83 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION) 154
8.2 ON-PREMISES 154
8.2.1 ABILITY TO OFFER SIGNIFICANT IMPROVEMENTS IN DATA VALIDATION AND STANDARDIZATION 154
TABLE 84 ON-PREMISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 155
TABLE 85 ON-PREMISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 155
8.3 CLOUD 155
8.3.1 CLOUD PROVIDES ADDITIONAL FLEXIBILITY FOR BUSINESS OPERATIONS AND REAL-TIME DEPLOYMENT 155
TABLE 86 CLOUD: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 156
TABLE 87 CLOUD: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 156
9 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE 157
9.1 INTRODUCTION 158
9.1.1 ORGANIZATION SIZE: MARKET DRIVERS 158
FIGURE 39 SMALL AND MEDIUM-SIZED ENTERPRISES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 158
TABLE 88 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION) 159
TABLE 89 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION) 159
9.2 SMALL AND MEDIUM-SIZED ENTERPRISES 159
9.2.1 AI TECHNOLOGIES TO AUTOMATE BUSINESS FORECASTS AND REDUCE RISK EXPOSURE 159
TABLE 90 SMALL AND MEDIUM-SIZED ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 160
TABLE 91 SMALL AND MEDIUM-SIZED ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 160
9.3 LARGE ENTERPRISES 160
9.3.1 AI TECHNOLOGIES TO ENHANCE OPERATIONS AND OFFER USEFUL INSIGHTS INTO CONSUMER TRENDS 160
TABLE 92 LARGE ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 161
TABLE 93 LARGE ENTERPRISES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 161
10 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION 162
10.1 INTRODUCTION 163
10.1.1 BUSINESS FUNCTIONS: MARKET DRIVERS 163
FIGURE 40 LAW FUNCTION TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 163
TABLE 94 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION) 164
TABLE 95 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION) 164
10.2 ARTIFICIAL INTELLIGENCE: ENTERPRISE USE CASES 164
10.3 FINANCE 165
10.3.1 ABILITY TO PROVIDE ACTIONABLE INSIGHTS BY DERIVING PAST TRANSACTIONAL DATA AND CUSTOMER DEMOGRAPHICS 165
TABLE 96 FINANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 165
TABLE 97 FINANCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 165
10.3.2 ARTIFICIAL INTELLIGENCE IN ACCOUNTING 166
10.3.3 ARTIFICIAL INTELLIGENCE IN PAYROLL 166
10.3.4 ARTIFICIAL INTELLIGENCE IN FINANCIAL PLANNING AND ANALYSIS 166
10.4 SECURITY 166
10.4.1 RAPID ADOPTION OF AI TECHNOLOGIES TO MAINTAIN DATA CONFIDENTIALITY AND INTEGRITY 166
TABLE 98 SECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 167
TABLE 99 SECURITY: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 167
10.4.2 IDENTITY AND ACCESS MANAGEMENT 167
10.4.3 RISK AND COMPLIANCE MANAGEMENT 168
10.4.4 ENCRYPTION 168
10.4.5 DATA LOSS PREVENTION 168
10.4.6 UNIFIED THREAT MANAGEMENT 168
10.4.7 ANTIVIRUS/ANTIMALWARE 169
10.4.8 INTRUSION DETECTION/PREVENTION SYSTEMS 169
10.4.9 OTHER SECURITY SOLUTIONS 169
10.5 HUMAN RESOURCES 170
10.5.1 USE OF AI TECHNOLOGIES TO REVOLUTIONIZE HUMAN RESOURCE FUNCTIONS AND PRACTICES 170
TABLE 100 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 170
TABLE 101 HUMAN RESOURCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 170
10.5.2 VIRTUAL ASSISTANT 171
10.5.3 APPLICANT TRACKING AND ASSESSMENT 171
10.5.4 PERSONALIZED LEARNING AND DEVELOPMENT 171
10.5.5 HR ANALYTICS 171
10.5.6 JOB RECOMMENDATION 171
10.5.7 SENTIMENT ANALYSIS 171
10.6 LAW 172
10.6.1 ADOPTION OF AI TECHNOLOGIES TO PROVIDE EFFICIENT AND INNOVATIVE LEGAL ADVICE 172
TABLE 102 LAW: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 172
TABLE 103 LAW: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 172
10.6.2 EDISCOVERY 173
10.6.3 LEGAL RESEARCH 173
10.6.4 CONTRACT ANALYSIS 173
10.6.5 CASE PREDICTION 173
10.6.6 COMPLIANCE 173
10.6.7 OTHER APPLICATIONS 173
10.7 MARKETING AND SALES 173
10.7.1 USE OF AI TECHNOLOGIES TO OFFER PROGRAMMATIC TRENDS AND OPPORTUNITIES TO MARKETERS 173
TABLE 104 MARKETING AND SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 174
TABLE 105 MARKETING AND SALES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 175
10.7.2 SOCIAL MEDIA ADVERTISING 175
10.7.3 SEARCH ADVERTISING 175
10.7.4 DYNAMIC PRICING 175
10.7.5 VIRTUAL ASSISTANT 176
10.7.6 CONTENT CURATION 176
10.7.7 SALES AND MARKETING AUTOMATION 176
10.7.8 ANALYTICS PLATFORM 176
10.7.9 OTHER MARKETING AND SALES SOLUTIONS 176
10.8 OTHER BUSINESS FUNCTIONS 177
TABLE 106 OTHER BUSINESS FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 177
TABLE 107 OTHER BUSINESS FUNCTIONS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 177
11 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL 178
11.1 INTRODUCTION 179
11.1.1 VERTICAL: MARKET DRIVERS 179
FIGURE 41 HEALTHCARE AND LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 179
TABLE 108 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION) 180
TABLE 109 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION) 180
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 181
11.2.1 AI HELPS TO ENHANCE CUSTOMER SERVICE 181
TABLE 110 BFSI: KEY USE CASES, BY APPLICATION 181
TABLE 111 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 182
TABLE 112 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 182
TABLE 113 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 182
TABLE 114 BFSI: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 183
11.2.2 ENHANCED CUSTOMER EXPERIENCE 183
11.2.3 PREDICTION OF FUTURE OUTCOMES AND TRENDS 183
11.2.4 ROBOTIC AUTOMATION OF PROCESSES 183
11.2.5 CREDIT DECISIONS 183
11.3 RETAIL AND ECOMMERCE 184
11.3.1 AI HELPS UNDERSTAND CONSUMER BEHAVIOR, HELPING MARKETERS INFLUENCE THEIR BUYING DECISION 184
TABLE 115 RETAIL AND ECOMMERCE: KEY USE CASES, BY APPLICATION 184
TABLE 116 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 185
TABLE 117 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 185
TABLE 118 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 186
TABLE 119 RETAIL AND ECOMMERCE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 186
11.3.2 PRODUCT RECOMMENDATION AND PLANNING 187
11.3.3 CUSTOMER RELATIONSHIP MANAGEMENT 187
11.3.4 VISUAL SEARCH 187
11.3.5 VIRTUAL ASSISTANT 187
11.3.6 PRICE OPTIMIZATION 188
11.3.7 PAYMENT SERVICES MANAGEMENT 188
11.3.8 SUPPLY CHAIN MANAGEMENT AND DEMAND PLANNING 188
11.3.9 VIRTUAL STORES 188
11.3.10 OTHER APPLICATIONS 188
11.4 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS 189
11.4.1 AI ENHANCES USER EXPERIENCE AND CONVENIENT FEATURES IN HUMAN-MACHINE INTERFACE 189
TABLE 120 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: KEY USE CASES, BY APPLICATION 189
TABLE 121 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 190
TABLE 122 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 190
TABLE 123 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 191
TABLE 124 AUTOMOTIVE, TRANSPORTATION, AND LOGISTICS: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 191
11.4.2 AUTONOMOUS DRIVING 191
11.4.3 HUMAN-MACHINE INTERFACE 191
11.4.4 SEMIAUTONOMOUS DRIVING 192
11.5 GOVERNMENT AND DEFENSE 192
11.5.1 AI TECHNOLOGIES TO HELP SOLVE COMPLEX PROBLEMS AND ENHANCE DECISION-MAKING PROCESS 192
TABLE 125 GOVERNMENT AND DEFENSE: KEY USE CASES, BY APPLICATION 193
TABLE 126 GOVERNMENT AND DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 193
TABLE 127 GOVERNMENT AND DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 193
TABLE 128 GOVERNMENT AND DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 194
TABLE 129 GOVERNMENT AND DEFENSE: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 194
11.5.2 CUSTOMER SERVICE CHATBOTS 194
11.5.3 AUTONOMOUS DRONES 195
11.5.4 SURVEILLANCE 195
11.5.5 PREDICTING A CRIME AND RECOMMENDING OPTIMAL POLICE PRESENCE 195
11.5.6 IDENTIFYING FRAUDULENT BENEFITS CLAIMS 195
11.6 HEALTHCARE AND LIFESCIENCES 195
11.6.1 USE OF AI TO ACCELERATE GROWTH OF MEDICAL IMAGING AND DIAGNOSTICS 195
TABLE 130 HEALTHCARE AND LIFESCIENCES: KEY USE CASES, BY APPLICATION 196
TABLE 131 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 196
TABLE 132 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 196
TABLE 133 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 197
TABLE 134 HEALTHCARE AND LIFESCIENCES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 197
11.6.2 PATIENT DATA AND RISK ANALYSIS 198
11.6.3 LIFESTYLE MANAGEMENT AND MONITORING 198
11.6.4 PRECISION MEDICINE 198
11.6.5 INPATIENT CARE AND HOSPITAL MANAGEMENT 199
11.6.6 MEDICAL IMAGING AND DIAGNOSTICS 199
11.6.7 DRUG DISCOVERY 199
11.6.8 VIRTUAL ASSISTANT 199
11.6.9 WEARABLES 200
11.6.10 MEDICAL RESEARCH 200
11.7 IT/ITES 200
11.7.1 RISE IN COMPLEXITY AND FAST INNOVATIONS TO DRIVE NEED FOR AI TO MANAGE IT OPERATIONS EFFECTIVELY 200
TABLE 135 IT/ITES: KEY USE CASES, BY APPLICATION 201
TABLE 136 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 201
TABLE 137 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 201
TABLE 138 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 202
TABLE 139 IT/ITES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 202
11.7.2 PREDICTIVE MAINTENANCE 202
11.7.3 VIRTUAL ASSISTANTS FOR CUSTOMER SUPPORT 202
11.8 ENERGY AND UTILITIES 203
11.8.1 ADVANCED AI TECHNOLOGIES TO HELP BUILD ACCOUNTABLE, TRANSPARENT, FAIR, AND SECURE SYSTEMS 203
TABLE 140 ENERGY AND UTILITIES: KEY USE CASES, BY APPLICATION 203
TABLE 141 ENERGY AND UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 203
TABLE 142 ENERGY AND UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 204
TABLE 143 ENERGY AND UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 204
TABLE 144 ENERGY AND UTILITIES: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 204
11.8.2 ENERGY EFFICIENCY DECISION-MAKING 205
11.8.3 FAULT PREDICTION 205
11.8.4 ARTIFICIAL INTELLIGENCE IN POWER GRIDS - SMART GRIDS AND SECTOR COUPLING 205
11.8.5 ARTIFICIAL INTELLIGENCE IN ELECTRICITY TRADING 205
11.8.6 ARTIFICIAL INTELLIGENCE IN THE VIRTUAL POWER PLANT 206
11.8.7 ARTIFICIAL INTELLIGENCE IN THE SMART WATER METER 206
11.9 TELECOMMUNICATION 206
11.9.1 DEPLOYMENT OF AI SOLUTIONS TO ENHANCE CONTACT CENTER EFFECTIVENESS, REDUCE OPERATIONAL COSTS, AND IMPROVE SERVICE 206
TABLE 145 TELECOMMUNICATIONS: KEY USE CASES, BY APPLICATION 206
TABLE 146 TELECOMMUNICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 207
TABLE 147 TELECOMMUNICATION: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 207
TABLE 148 TELECOMMUNICATION: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 207
TABLE 149 TELECOMMUNICATION: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 208
11.9.2 NETWORK OPTIMIZATION 208
11.9.3 NETWORK ANOMALIES 208
11.10 MANUFACTURING 208
11.10.1 AI TECHNOLOGIES ENHANCE PERFORMANCE AND REDUCE REDUNDANCIES IN MANUFACTURING 208
TABLE 150 MANUFACTURING: KEY USE CASES, BY APPLICATION 209
TABLE 151 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 209
TABLE 152 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 210
TABLE 153 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2016–2021 (USD BILLION) 210
TABLE 154 MANUFACTURING: ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2022–2027 (USD BILLION) 211
11.10.2 MATERIAL MOVEMENT 211
11.10.3 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION 211
11.10.4 PRODUCTION PLANNING 212
11.10.5 FIELD SERVICES 212
11.10.6 RECLAMATION 212
11.10.7 QUALITY CONTROL 212
11.10.8 PRODUCTION LINE OPTIMIZATION 212
11.11 OTHER VERTICALS 213
TABLE 155 OTHER VERTICALS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD MILLION) 213
TABLE 156 OTHER VERTICALS: ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD MILLION) 213
12 ARTIFICIAL INTELLIGENCE MARKET, BY REGION 214
12.1 INTRODUCTION 215
FIGURE 42 CHINA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 215
FIGURE 43 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 216
TABLE 157 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION) 216
TABLE 158 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION) 216

　

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