AIアズ・ア・サービス市場：オファリング（SaaS、PaaS、IaaS）、テクノロジー（機械学習、自然言語処理、コンテキスト認識、コンピュータビジョン）、クラウドタイプ（パブリック、プライベート、ハイブリッド）、組織規模、業種、地域別 - 2028年までの世界予測

AI as a Service Market by Offering (SaaS, PaaS, IaaS), Technology (Machine Learning, Natural Language Processing, Context Awareness, Computer Vision), Cloud Type (Public, Private, Hybrid), Organization Size, Vertical and Region - Global Forecast to 2028

AI as a Serviceの市場は、2023年の93億米ドルから2028年には550億米ドルまで、予測期間中に42.6%のCAGRで成長すると予測されます。AI as a Serviceとは、AIを業務に取り入れたいと考える企業に対して、サードパ... もっと見る

出版社	出版年月	電子版価格	ページ数	図表数	言語
MarketsandMarkets マーケッツアンドマーケッツ	2023年5月1日	US$4,950 シングルユーザライセンスライセンス・価格情報・注文方法はこちら	327	346	英語

日本語のページは自動翻訳を利用し作成しています。

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AI as a Serviceの市場は、2023年の93億米ドルから2028年には550億米ドルまで、予測期間中に42.6%のCAGRで成長すると予測されます。AI as a Serviceとは、AIを業務に取り入れたいと考える企業に対して、サードパーティプロバイダーがAIツールやプラットフォームを提供することを指します。これは、企業が既存のシステムに簡単に統合できる、あらかじめ構築されたAIモデル、API、その他のツールへのアクセスを提供するものです。AI as a Service（AIaaS）の成長を後押ししているのは、業界を問わずAIを活用したソリューションへの需要が高まっていることです。ビッグデータの利用可能性とクラウドコンピューティングの台頭により、企業がAIaaSを導入することが容易になっています。
予測期間中、大企業向けセグメントが最大の市場になると予測される
大企業は、中小企業に比べて、AI、機械学習、自然言語処理などの先端技術への傾倒が進んでいます。大企業は、ビジネス機能にまたがる膨大な量のデータを保有しており、それらを分析して、エンティティ抽出、テキスト分類、要約、感情分析などを行う必要があります。AIaaSソリューションは、大企業がAIを活用した新しい製品やサービスを開発・展開し、競争力を維持し、進化する顧客の需要に応えることを可能にするものです。AIaaSは、技術革新の最前線に立ち、目まぐるしく変化するビジネス環境の中で成長を促進しようとする大企業にとって、極めて重要な技術である。
PaaSセグメントは、予測期間中に最も高いCAGRで成長することが登録されている
PaaS（Platform as a Service）は、AIアプリケーションを開発・展開するための構築済みプラットフォームとツールを企業に提供します。これらのプラットフォームには通常、事前に訓練されたモデルやAPI、新しいモデルをカスタマイズして構築するための開発ツールなどが含まれています。PaaSを利用することで、企業はプラットフォームプロバイダーの専門知識を活用し、すべてをゼロから構築することなく、AIアプリケーションを迅速に開発することができます。
垂直方向の中では、BFSI垂直方向が予測期間中に最大の市場規模を占めると予想される
BFSI業界は、AIの力を活用し、顧客との関わり方、リスク管理、業務の最適化を変革しています。これらの組織は、AIアルゴリズムとツールを活用して、プロセスの合理化、コスト削減、顧客体験の向上を図っています。銀行はAIを活用して、不正行為の検出と防止、顧客の識別と認証、パーソナライズされた金融アドバイスの向上を図っています。BFSI分野の組織は、デジタル変革の競争で優位に立つために、AIaaSテクノロジーに多額の投資を行っています。BFSIの組織は、AIaaSプロバイダーと提携することで、自然言語処理や予測分析などの最先端のAI技術を利用し、ビジネス成果を向上させ、競争に打ち勝つことができます。
予測期間中、最大の市場規模を占めるのは北アメリカ
AI as a Service市場は、北米が最大のシェアを占めると推定される。AI as a Serviceの世界市場は、北米が支配的です。北米は、世界のAI as a Service市場において最も高い収益を生み出す地域であり、米国が最も高い市場シェアを構成し、カナダがそれに続いています。米国、カナダ、メキシコなどの国々は、複数のアプリケーション分野でAI技術を採用しており、この地域におけるAIの成長を促進しています。北米は、AI技術の開発におけるグローバルリーダーであり、世界最大のAI企業の多くがこの地域に拠点を置いています。この地域は、データ管理技術の導入、政府規制、確立されたプレイヤーの存在、MLおよびBIソリューションの適用に対する企業の関心によって、市場成長のための好条件を目撃しています。
プライマリーの内訳
AI as a Service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
 By Designation：Cレベルエグゼクティブ35％、取締役25％、その他40%
 地域別：APAC30%、ヨーロッパ：20%、北米：40%、MEA：5%、中南米：5%。
世界中でAI as a Serviceのソリューションやサービスを提供している主なベンダーは、IBM（米国）、Microsoft（米国）、Google（米国）、AWS（米国）、FICO（米国）、SAS Institute（米国）、百度（中国）、SAP（ドイツ）、Salesforce（米国）、Oracle（米国）、Iris.AI（米国）、Craft.AI（フランス）、BigML（米国）、H2O．ai（米国）、Vital.ai（米国）、Fuzzy.ai（カナダ）、RainBird Technologies（英国）、SiftScience（米国） DataBricks（米国）、CenturySoft（インド）、DataRobot（米国）、Alibaba（中国）、Tencent（中国）、Dataiku（米国）、Yottamine Analytics（米国）、Tecnotree（フィンランド）、Cloudera（米国）、そしてMeya.AI（KSA）です。
調査対象
この調査レポートは、セグメント横断的なサービスとしてのAIを対象としています。提供、技術、クラウドタイプ、組織規模、垂直、地域などの異なるセグメントにわた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。市場の主要プレイヤーの詳細な競合分析を、会社概要、製品や事業の提供、最近の開発、主要な市場戦略に関連する主な見解とともに掲載しています。
本レポートを購入する主なメリット
本レポートは、本市場のマーケットリーダー/新規参入者に、AI as a Serviceの市場全体とそのサブセグメントにおける収益数字の最も近い近似値に関する情報を提供するだろう。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：

- AI as a Service市場の成長に影響を与える主要なドライバー（データ駆動型の意思決定プロセスの重要性の高まり）、阻害要因（熟練した従業員の不足）、機会（インテリジェントなビジネスアプリケーションのニーズの増加）、課題（データのセキュリティに関わる繊細さ）の分析

- 製品開発/イノベーション：AI as a Service市場における今後の技術、研究開発活動、新製品・サービス投入に関する詳細なインサイト。

- 市場の開拓：有利な市場に関する包括的な情報 - 当レポートは、様々な地域にわたるAI as a Service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、AI as a Service市場戦略への投資に関する情報を網羅。また、AI as a Service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で、ステークホルダーを支援します。

- 競合他社の評価AI as a Service市場におけるIBM（米国）、Google（米国）、AWS（米国）、Microsoft（米国）、Salesforce（米国）などの主要プレイヤーの市場シェア、成長戦略、サービス内容などを詳細に評価します。

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1 INTRODUCTION 30
1.1 STUDY OBJECTIVES 30
1.2 MARKET DEFINITION 31
1.3 INCLUSIONS AND EXCLUSIONS 31
1.4 MARKET SCOPE 31
1.4.1 MARKET SEGMENTATION 32
1.4.2 REGIONS COVERED 33
1.4.3 YEARS CONSIDERED 34
1.5 CURRENCY CONSIDERED 34
TABLE 1 USD EXCHANGE RATES, 2020–2022 34
1.6 STAKEHOLDERS 35
1.7 SUMMARY OF CHANGES 35
1.7.1 IMPACT OF RECESSION 35
2 RESEARCH METHODOLOGY 36
2.1 RESEARCH DATA 36
FIGURE 1 AI AS A SERVICE MARKET: RESEARCH DESIGN 36
2.1.1 SECONDARY DATA 36
2.1.2 PRIMARY DATA 37
2.1.2.1 Primary interviews 37
2.1.2.2 Breakup of primary profiles 38
2.1.2.3 Key industry insights 38
2.2 DATA TRIANGULATION 39
2.3 MARKET SIZE ESTIMATION 40
FIGURE 2 AI AS A SERVICE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 40
2.3.1 TOP-DOWN APPROACH 40
2.3.2 BOTTOM-UP APPROACH 41
FIGURE 3 APPROACH 1 (SUPPLY SIDE): REVENUE FROM OFFERING OF AI AS A SERVICE MARKET 41
FIGURE 4 APPROACH 2—BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM OFFERING OF AI AS A SERVICE PLAYERS 42
FIGURE 5 APPROACH 3—BOTTOM-UP (SUPPLY SIDE): REVENUE AND SUBSEQUENT MARKET ESTIMATION FROM OFFERING OF AI AS A SERVICE 42
FIGURE 6 APPROACH 4—BOTTOM-UP (DEMAND SIDE): SHARE OF AI AS A SERVICE OFFERING THROUGH OVERALL AI AS A SERVICE SPENDING 43
2.4 MARKET FORECAST 44
TABLE 2 FACTOR ANALYSIS 44
2.5 ASSUMPTIONS 45
2.6 LIMITATIONS 46
2.7 IMPACT OF RECESSION ON GLOBAL AI AS A SERVICE MARKET 47
TABLE 3 IMPACT OF RECESSION ON GLOBAL AI AS A SERVICE MARKET 48
3 EXECUTIVE SUMMARY 49
TABLE 4 AI AS A SERVICE MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y GROWTH) 50
TABLE 5 AI AS A SERVICE MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y GROWTH) 50
FIGURE 7 IAAS TO ACCOUNT FOR LARGER MARKET SIZE IN 2023 (USD MILLION) 50
FIGURE 8 MACHINE LEARNING TO ACCOUNT FOR LARGEST AI AS A SERVICE MARKET IN 2023 51
FIGURE 9 SUPERVISED LEARNING TO BE LARGEST MACHINE LEARNING MARKET IN 2023 51
FIGURE 10 PUBLIC CLOUD TO ACCOUNT FOR HIGHER IMPLEMENTATION IN 2023 51
FIGURE 11 LARGE ENTERPRISES SEGMENT TO BE LARGER USERS IN MARKET IN 2023 52
FIGURE 12 BFSI TO BE LARGEST VERTICAL MARKET IN 2023 52
FIGURE 13 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023 53
4 PREMIUM INSIGHTS 54
4.1 ATTRACTIVE MARKET OPPORTUNITIES FOR AI AS A SERVICE MARKET PLAYERS 54
FIGURE 14 HIGH DEMAND FOR PLATFORM TRANSFERRING DATA FROM ON-PREMISES TO CLOUD TO DRIVE AI AS A SERVICE MARKET 54
4.2 OVERVIEW OF RECESSION IN GLOBAL AI AS A SERVICE MARKET 54
FIGURE 15 AI AS A SERVICE MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023 54
4.3 AI AS A SERVICE MARKET, BY VERTICAL 55
FIGURE 16 HEALTHCARE AND LIFE SCIENCES VERTICAL TO BE FASTEST-GROWING MARKET DURING FORECAST PERIOD 55
4.4 AI AS A SERVICE MARKET, BY REGION 55
FIGURE 17 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE BY 2028 55
4.5 AI AS A SERVICE MARKET: TOP COMPONENT AND VERTICALS 56
FIGURE 18 OFFERING AND BFSI TO ACCOUNT FOR LARGEST RESPECTIVE MARKET SHARES BY 2028 56
5 MARKET OVERVIEW 57
5.1 INTRODUCTION 57
5.2 MARKET DYNAMICS 57
FIGURE 19 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI AS A SERVICE MARKET 57
5.2.1 DRIVERS 58
5.2.1.1 Growth in importance of data-driven decision-making in business 58
5.2.1.2 Increase in need to provide enhanced customer experience and gain competitive advantage 58
5.2.1.3 Rise in demand for AI-powered services in API and SDK forms 58
5.2.2 RESTRAINTS 59
5.2.2.1 Lack of skilled employees 59
5.2.3 OPPORTUNITIES 59
5.2.3.1 Increase in need for intelligent business applications 59
5.2.3.2 Growth in demand for AI service integrators 59
5.2.4 CHALLENGES 60
5.2.4.1 Sensitivity involved with security of data 60
6 INDUSTRY TRENDS 61
6.1 BRIEF HISTORY OF AI AS A SERVICE 61
6.2 VALUE CHAIN ANALYSIS 61
FIGURE 20 AI AS A SERVICE MARKET: VALUE CHAIN ANALYSIS 62
6.2.1 DATA COLLECTION & PREPARATION 62
6.2.2 ALGORITHM DEVELOPMENT 62
6.2.3 MODEL TRAINING 62
6.2.4 MODEL TESTING & VALIDATION 63
6.2.5 DEPLOYMENT & INTEGRATION 63
6.2.6 MAINTENANCE & SUPPORT 63
6.3 ECOSYSTEM MAPPING 63
TABLE 6 AI AS A SERVICE MARKET: CLOUD PROVIDERS 63
TABLE 7 AI AS A SERVICE MARKET: PLATFORM PROVIDERS 64
TABLE 8 AI AS A SERVICE MARKET: AI SERVICE PROVIDERS 64
TABLE 9 AI AS A SERVICE MARKET: DATA PROVIDERS 65
TABLE 10 AI AS A SERVICE MARKET: BUSINESS APPLICATIONS 65
TABLE 11 AI AS A SERVICE MARKET: REGULATORY BODIES 65
FIGURE 21 AI AS A SERVICE ECOSYSTEM 66
6.4 CASE STUDY ANALYSIS 67
TABLE 12 GOVERNMENT & DEFENSE: MICROSOFT AZURE AIAAS EMPOWERS ALASKA AIRLINES TO OPTIMIZE ON-TIME PERFORMANCE WITH PREDICTIVE MAINTENANCE 67
TABLE 13 BFSI: IMPROVING CUSTOMER SERVICE AND FRAUD DETECTION WITH IBM AIAAS 67
TABLE 14 HEALTHCARE: TRANSFORMING PATIENT CARE AND ENGAGEMENT WITH GOOGLE AIAAS 68
TABLE 15 RETAIL: AWS AIAAS IMPROVING PRODUCT OFFERINGS, PRICING STRATEGIES, AND MARKETING CAMPAIGNS 69
TABLE 16 MANUFACTURING: OPTIMIZING PRODUCTION PROCESSES WITH BAIDU AIAAS 69
TABLE 17 IT/ITES: AUTOMATING SUPPORT REQUEST TRIAGE WITH SALESFORCE AIAAS 70
6.5 TECHNOLOGY ANALYSIS 70
6.5.1 RELATED TECHNOLOGY 70
6.5.1.1 Machine learning 70
6.5.1.2 Big data 71
6.5.1.3 Natural language processing 71
6.5.1.4 Cloud computing 71
6.5.2 ALLIED TECHNOLOGIES 72
6.5.2.1 Edge computing 72
6.5.2.2 IoT 72
6.5.2.3 Blockchain 72
6.6 PORTER’S FIVE FORCES MODEL 73
TABLE 18 AI AS A SERVICE MARKET: PORTER’S FIVE FORCES MODEL 73
6.6.1 THREAT OF NEW ENTRANTS 73
6.6.2 THREAT OF SUBSTITUTES 73
6.6.3 BARGAINING POWER OF BUYERS 73
6.6.4 BARGAINING POWER OF SUPPLIERS 74
6.6.5 INTENSITY OF COMPETITIVE RIVALRY 74
6.7 PATENT ANALYSIS 74
6.7.1 METHODOLOGY 74
6.7.2 DOCUMENT TYPES 74
TABLE 19 PATENTS FILED, 2019–2022 74
6.7.3 INNOVATION & PATENT APPLICATIONS 75
FIGURE 22 NUMBER OF PATENTS GRANTED ANNUALLY, 2019–2022 75
6.7.3.1 Top applicants 75
FIGURE 23 TOP 10 AI AS A SERVICE PATENT APPLICANTS, 2019–2022 75
TABLE 20 LIST OF PATENTS IN AI AS A SERVICE MARKET, 2021–2023 76
6.8 PRICING ANALYSIS 76
TABLE 21 PRICING ANALYSIS 77
6.9 KEY STAKEHOLDERS AND BUYING CRITERIA 79
6.9.1 KEY STAKEHOLDERS IN BUYING PROCESS 79
FIGURE 24 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 79
TABLE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 79
6.9.2 BUYING CRITERIA 80
FIGURE 25 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 80
TABLE 23 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 80
6.10 DISRUPTIONS IMPACTING BUYERS/CLIENTS IN AI AS A SERVICE MARKET 81
FIGURE 26 AI AS A SERVICE MARKET: DISRUPTIONS IMPACTING BUYERS/CLIENTS 81
6.11 KEY CONFERENCES & EVENTS 81
TABLE 24 AI AS A SERVICE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024 81
6.12 REGULATORY LANDSCAPE 84
6.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 84
TABLE 25 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 84
TABLE 26 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 85
TABLE 27 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 87
TABLE 28 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 87
6.12.1.1 North America 88
6.12.1.1.1 US 88
6.12.1.1.2 Canada 88
6.12.1.2 Europe 88
6.12.1.3 Asia Pacific 88
6.12.1.3.1 South Korea 88
6.12.1.3.2 China 88
6.12.1.3.3 India 89
6.12.1.4 Middle East & Africa 89
6.12.1.4.1 UAE 89
6.12.1.4.2 KSA 89
6.12.1.4.3 Bahrain 89
6.12.1.5 Latin America 89
6.12.1.5.1 Brazil 89
6.12.1.5.2 Mexico 89
6.13 AI AS A SERVICE-BASED APPLICATION IN DATA CENTERS 90
TABLE 29 AI AS A SERVICE-BASED APPLICATION IN DATA CENTERS 90
6.14 AI AS A SERVICE USE CASES 91
6.14.1 DATA PREPARATION & MANAGEMENT 91
TABLE 30 DATA PREPARATION & MANAGEMENT USE CASES 91
6.14.1.1 Model development, training, and tuning 91
TABLE 31 MODEL DEVELOPMENT, TRAINING, AND TUNING USE CASES 92
6.14.1.2 Model deployment & management 92
TABLE 32 MODEL DEPLOYMENT & MANAGEMENT USE CASES 92
6.14.1.3 Customization & integration 93
TABLE 33 CUSTOMIZATION & INTEGRATION USE CASES 93
6.14.1.4 Data collection & annotation 94
TABLE 34 DATA COLLECTION & ANNOTATION USE CASES 94
6.14.1.5 Analytics & monitoring 95
TABLE 35 ANALYTICS & MONITORING USE CASES 95
6.15 FUTURE DIRECTIONS OF AI AS A SERVICE MARKET LANDSCAPE 96
TABLE 36 SHORT-TERM ROADMAP, 2023–2025 96
TABLE 37 MID-TERM ROADMAP, 2026–2028 96
TABLE 38 LONG-TERM ROADMAP, 2029–2030 97

7 AI AS A SERVICE MARKET, BY OFFERING 98
7.1 INTRODUCTION 99
7.1.1 OFFERING: AI AS A SERVICE MARKET DRIVERS 99
FIGURE 27 AI AS A SERVICE MARKET FOR OFFERING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 99
TABLE 39 AI AS A SERVICE MARKET, BY OFFERING, 2017–2022 (USD MILLION) 100
TABLE 40 AI AS A SERVICE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 100
7.2 INFRASTRUCTURE AS A SERVICE 100
7.2.1 FLEXIBILITY TO SCALE UP OR DOWN OFFERED BASED ON AI WORKLOADS 100
TABLE 41 INFRASTRUCTURE AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 101
TABLE 42 INFRASTRUCTURE AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 101
7.3 PLATFORM AS A SERVICE 102
7.3.1 ACCELERATING AI APPLICATION DEVELOPMENT AND DEPLOYMENT WITH PAAS 102
TABLE 43 PLATFORM AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 102
TABLE 44 PLATFORM AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 102
7.4 SOFTWARE AS A SERVICE 103
7.4.1 EASY ACCESS AND ADOPTION OF AI TECHNOLOGY FOR BUSINESSES 103
TABLE 45 SOFTWARE AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 103
TABLE 46 SOFTWARE AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 103
8 AI AS A SERVICE MARKET, BY TECHNOLOGY 104
8.1 INTRODUCTION 105
8.1.1 TECHNOLOGY: AI AS A SERVICE MARKET DRIVERS 105
FIGURE 28 COMPUTER VISION TO WITNESS HIGHER CAGR DURING FORECAST PERIOD 106
TABLE 47 AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 106
TABLE 48 AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 106
8.2 MACHINE LEARNING 107
8.2.1 EMPOWERING BUSINESSES BY AUTOMATING PROCESSES, ANALYZING DATA, AND MAKING PREDICTIONS 107
FIGURE 29 SUPERVISED LEARNING TO BE LARGEST MARKET DURING FORECAST PERIOD 107
TABLE 49 AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION) 108
TABLE 50 AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION) 108
TABLE 51 MACHINE LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 108
TABLE 52 MACHINE LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 109
8.2.2 DEEP LEARNING 109
8.2.2.1 Deep learning to drive efficiency, innovation, and competitiveness 109
TABLE 53 DEEP LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 109
TABLE 54 DEEP LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 110
8.2.3 SUPERVISED LEARNING 110
8.2.3.1 Supervised learning to empower business decision-making 110
TABLE 55 SUPERVISED LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 110
TABLE 56 SUPERVISED LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 111
8.2.4 UNSUPERVISED LEARNING 111
8.2.4.1 Increase in use of predictive analytics in project management to boost profitability and competitiveness 111
TABLE 57 UNSUPERVISED LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 111
TABLE 58 UNSUPERVISED LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 112
8.2.5 REINFORCEMENT LEARNING 112
8.2.5.1 Employing speech recognition to reduce time and effort 112
TABLE 59 REINFORCEMENT LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 112
TABLE 60 REINFORCEMENT LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 113
8.2.6 OTHER MACHINE LEARNING TECHNOLOGIES 113
TABLE 61 OTHER MACHINE LEARNING TECHNOLOGIES: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 113
TABLE 62 OTHER MACHINE LEARNING TECHNOLOGIES: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 114
8.3 NATURAL LANGUAGE PROCESSING 114
8.3.1 NLP UTILIZED TO ENHANCE LANGUAGE PROCESSING CAPABILITIES 114
TABLE 63 NATURAL LANGUAGE PROCESSING: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 114
TABLE 64 NATURAL LANGUAGE PROCESSING: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 115
8.4 CONTEXT AWARENESS 115
8.4.1 CONTEXT AWARENESS USED TO PROVIDE PERSONALIZED USER EXPERIENCES 115
TABLE 65 CONTEXT AWARENESS: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 115
TABLE 66 CONTEXT AWARENESS: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 116
8.5 COMPUTER VISION 116
8.5.1 LEVERAGING AI TECHNOLOGY BY INTEGRATING COMPUTER VISION INTO BUSINESSES 116
TABLE 67 COMPUTER VISION: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 117
TABLE 68 COMPUTER VISION: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 117

9 AI AS A SERVICE MARKET, BY CLOUD TYPE 118
9.1 INTRODUCTION 119
9.1.1 CLOUD TYPE: AI AS A SERVICE MARKET DRIVERS 119
FIGURE 30 PRIVATE CLOUD TO WITNESS HIGHER CAGR DURING FORECAST PERIOD 119
TABLE 69 AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION) 120
TABLE 70 AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 120
9.2 PUBLIC CLOUD 120
9.2.1 COST-EFFECTIVE AND SCALABLE AI CAPABILITIES OF PUBLIC CLOUD 120
TABLE 71 PUBLIC CLOUD: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 120
TABLE 72 PUBLIC CLOUD: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 121
9.3 HYBRID CLOUD 121
9.3.1 ABILITY TO DEPLOY AI WORKLOADS ON BOTH PUBLIC AND PRIVATE INFRASTRUCTURES 121
TABLE 73 HYBRID CLOUD: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 121
TABLE 74 HYBRID CLOUD: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 122
9.4 PRIVATE CLOUD 122
9.4.1 HIGHER LEVELS OF SECURITY AND CONTROL IN PRIVATE CLOUD 122
TABLE 75 PRIVATE CLOUD: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 122
TABLE 76 PRIVATE CLOUD: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 123
10 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE 124
10.1 INTRODUCTION 125
10.1.1 ORGANIZATION SIZE: AI AS A SERVICE MARKET DRIVERS 125
FIGURE 31 SMALL & MEDIUM-SIZED ENTERPRISES TO WITNESS HIGHER CAGR DURING FORECAST PERIOD 125
TABLE 77 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION) 126
TABLE 78 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION) 126
10.2 SMALL & MEDIUM-SIZED ENTERPRISES 126
10.2.1 NEED TO LEVERAGE ADVANCED TECHNOLOGIES WITHOUT SIGNIFICANT UPFRONT INVESTMENTS 126
TABLE 79 SMALL & MEDIUM-SIZED ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 126
TABLE 80 SMALL & MEDIUM-SIZED ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 127
10.3 LARGE ENTERPRISES 127
10.3.1 GROWING ADOPTION OF AIAAS TO IMPROVE EFFICIENCY AND GAIN COMPETITIVE ADVANTAGE 127
TABLE 81 LARGE ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 127
TABLE 82 LARGE ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 128
11 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL 129
11.1 INTRODUCTION 130
11.1.1 VERTICAL: AI AS A SERVICE MARKET DRIVERS 130
FIGURE 32 HEALTHCARE & LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 131
TABLE 83 AI AS A SERVICE MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 131
TABLE 84 AI AS A SERVICE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 132
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 132
11.2.1 DEMAND FOR ENHANCED CUSTOMER SERVICE 132
TABLE 85 AI AS A SERVICE MARKET IN BFSI VERTICAL, BY REGION, 2017–2022 (USD MILLION) 133
TABLE 86 AI AS A SERVICE MARKET IN BFSI VERTICAL, BY REGION, 2023–2028 (USD MILLION) 133
TABLE 87 AI AS A SERVICE MARKET IN BFSI VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION) 133
TABLE 88 AI AS A SERVICE MARKET IN BFSI VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION) 134
11.2.2 ENHANCED CUSTOMER EXPERIENCE 134
11.2.3 PREDICTION OF FUTURE OUTCOMES & TRENDS 134
11.2.4 ROBOTIC AUTOMATION OF PROCESSES 134
11.2.5 CREDIT DECISIONS 135
11.2.6 FRAUD DETECTION & PREVENTION 135
11.2.7 OTHER BFSI APPLICATIONS 135
11.3 RETAIL & ECOMMERCE 135
11.3.1 AI HELPS UNDERSTAND CONSUMER BEHAVIOR, ALLOWING MARKETERS INFLUENCE BUYER DECISIONS 135
TABLE 89 AI AS A SERVICE MARKET IN RETAIL & ECOMMERCE VERTICAL, BY REGION, 2017–2022 (USD MILLION) 136
TABLE 90 AI AS A SERVICE MARKET IN RETAIL & ECOMMERCE VERTICAL, BY REGION, 2023–2028 (USD MILLION) 136
TABLE 91 AI AS A SERVICE MARKET IN RETAIL & ECOMMERCE VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION) 136
TABLE 92 AI AS A SERVICE MARKET IN RETAIL & ECOMMERCE VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION) 137
11.3.2 PRODUCT RECOMMENDATION & PLANNING 137
11.3.3 CUSTOMER RELATIONSHIP MANAGEMENT 137
11.3.4 VISUAL SEARCH 138
11.3.5 VIRTUAL ASSISTANT 138
11.3.6 PRICE OPTIMIZATION 138
11.3.7 PAYMENT SERVICES MANAGEMENT 138
11.3.8 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING 138
11.3.9 VIRTUAL STORES 139
11.3.10 OTHER RETAIL & ECOMMERCE APPLICATIONS 139
11.4 HEALTHCARE & LIFE SCIENCES 139
11.4.1 USE OF AI TO ACCELERATE GROWTH OF MEDICAL IMAGING & DIAGNOSTICS 139
TABLE 93 AI AS A SERVICE MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY REGION, 2017–2022 (USD MILLION) 140
TABLE 94 AI AS A SERVICE MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY REGION, 2023–2028 (USD MILLION) 140
TABLE 95 AI AS A SERVICE MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION) 140
TABLE 96 AI AS A SERVICE MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION) 141
11.4.2 PATIENT DATA & RISK ANALYSIS 141
11.4.3 LIFESTYLE MANAGEMENT & MONITORING 141
11.4.4 PRECISION MEDICINE 142
11.4.5 INPATIENT CARE & HOSPITAL MANAGEMENT 142
11.4.6 MEDICAL IMAGING & DIAGNOSTICS 142
11.4.7 DRUG DISCOVERY 142
11.4.8 VIRTUAL ASSISTANT 143
11.4.9 WEARABLES 143
11.4.10 MEDICAL RESEARCH 143
11.4.11 OTHER HEALTHCARE APPLICATIONS 143
11.5 IT/ITES 144
11.5.1 RISE IN COMPLEXITY AND FAST INNOVATIONS TO MANAGE IT OPERATIONS EFFECTIVELY 144
TABLE 97 AI AS A SERVICE MARKET IN IT/ITES VERTICAL, BY REGION, 2017–2022 (USD MILLION) 144
TABLE 98 AI AS A SERVICE MARKET IN IT/ITES VERTICAL, BY REGION, 2023–2028 (USD MILLION) 144
TABLE 99 AI AS A SERVICE MARKET IN IT/ITES VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION) 145
TABLE 100 AI AS A SERVICE MARKET IN IT/ITES VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION) 145
11.5.2 PREDICTIVE MAINTENANCE 145
11.5.3 VIRTUAL ASSISTANTS FOR CUSTOMER SUPPORT 145
11.5.4 OTHER IT/ITES APPLICATIONS 146
11.6 TELECOMMUNICATION 146
11.6.1 ENHANCED CONTACT CENTER EFFECTIVENESS, REDUCED OPERATIONAL COSTS, AND IMPROVED SERVICES OF AI 146
TABLE 101 AI AS A SERVICE MARKET IN TELECOMMUNICATION VERTICAL, BY REGION, 2017–2022 (USD MILLION) 147
TABLE 102 AI AS A SERVICE MARKET IN TELECOMMUNICATION VERTICAL, BY REGION, 2023–2028 (USD MILLION) 147
TABLE 103 AI AS A SERVICE MARKET IN TELECOMMUNICATION VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION) 147
TABLE 104 AI AS A SERVICE MARKET IN TELECOMMUNICATION VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION) 148
11.6.2 NETWORK OPTIMIZATION 148
11.6.3 NETWORK ANOMALIES 148
11.6.4 OTHER TELECOMMUNICATION APPLICATIONS 148
11.7 GOVERNMENT & DEFENSE 149
11.7.1 ENDEAVOR TO SOLVE COMPLEX PROBLEMS AND ENHANCE DECISION-MAKING PROCESS 149
TABLE 105 AI AS A SERVICE MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY REGION, 2017–2022 (USD MILLION) 149
TABLE 106 AI AS A SERVICE MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY REGION, 2023–2028 (USD MILLION) 149
TABLE 107 AI AS A SERVICE MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION) 150
TABLE 108 AI AS A SERVICE MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION) 150
11.7.2 CUSTOMER SERVICE CHATBOTS 150
11.7.3 AUTONOMOUS DRONES 151
11.7.4 SURVEILLANCE 151
11.7.5 PREDICTING CRIMES & RECOMMENDING OPTIMAL POLICE PRESENCE 151
11.7.6 IDENTIFYING FRAUDULENT BENEFITS CLAIMS 151
11.7.7 OTHER GOVERNMENT & DEFENSE APPLICATIONS 151
11.8 MANUFACTURING 151
11.8.1 NEED FOR ENHANCED PERFORMANCE AND REDUCED REDUNDANCIES IN MANUFACTURING 151
TABLE 109 AI AS A SERVICE MARKET IN MANUFACTURING VERTICAL, BY REGION, 2017–2022 (USD MILLION) 152
TABLE 110 AI AS A SERVICE MARKET IN MANUFACTURING VERTICAL, BY REGION, 2023–2028 (USD MILLION) 152
TABLE 111 AI AS A SERVICE MARKET IN MANUFACTURING VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION) 152
TABLE 112 AI AS A SERVICE MARKET IN MANUFACTURING VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION) 153
11.8.2 MATERIAL MOVEMENTS 153
11.8.3 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION 153
11.8.4 PRODUCTION PLANNING 154
11.8.5 FIELD SERVICES 154
11.8.6 RECLAMATION 154
11.8.7 QUALITY CONTROL 154
11.8.8 PRODUCTION LINE OPTIMIZATION 155
11.8.9 OTHER MANUFACTURING APPLICATIONS 155
11.9 ENERGY & UTILITIES 155
11.9.1 ADVANCED AI TECHNOLOGIES HELP BUILD ACCOUNTABLE, TRANSPARENT, FAIR, AND SECURE SYSTEMS 155
TABLE 113 AI AS A SERVICE MARKET IN ENERGY & UTILITIES VERTICAL, BY REGION, 2017–2022 (USD MILLION) 155
TABLE 114 AI AS A SERVICE MARKET IN ENERGY & UTILITIES VERTICAL, BY REGION, 2023–2028 (USD MILLION) 156
TABLE 115 AI AS A SERVICE MARKET IN ENERGY & UTILITIES VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION) 156
TABLE 116 AI AS A SERVICE MARKET IN ENERGY & UTILITIES VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION) 156
11.9.2 ENERGY EFFICIENCY DECISION-MAKING 157
11.9.3 FAULT PREDICTION 157
11.9.4 ARTIFICIAL INTELLIGENCE IN POWER GRIDS - SMART GRIDS & SECTOR COUPLING 157
11.9.5 ARTIFICIAL INTELLIGENCE IN ELECTRICITY TRADING 157
11.9.6 ARTIFICIAL INTELLIGENCE IN VIRTUAL POWER PLANT 158
11.9.7 ARTIFICIAL INTELLIGENCE IN SMART WATER METER 158
11.9.8 OTHER ENERGY & UTILITY APPLICATIONS 158
11.10 OTHER VERTICALS 158
TABLE 117 AI AS A SERVICE MARKET IN OTHER VERTICALS, BY REGION, 2017–2022 (USD MILLION) 158
TABLE 118 AI AS A SERVICE MARKET IN OTHER VERTICALS, BY REGION, 2023–2028 (USD MILLION) 159
12 AI AS A SERVICE MARKET, BY REGION 160
12.1 INTRODUCTION 161
12.1.1 AI AS A SERVICE MARKET: IMPACT OF RECESSION 161
FIGURE 33 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 161
FIGURE 34 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 162
TABLE 119 AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION) 162
TABLE 120 AI AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION) 162
12.2 NORTH AMERICA 163
12.2.1 NORTH AMERICA: AI AS A SERVICE MARKET DRIVERS 163
12.2.2 NORTH AMERICA: IMPACT OF RECESSION 164
FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT 164
TABLE 121 NORTH AMERICA: AI AS A SERVICE MARKET, BY OFFERING, 2017–2022 (USD MILLION) 165
TABLE 122 NORTH AMERICA: AI AS A SERVICE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 165
TABLE 123 NORTH AMERICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 165
TABLE 124 NORTH AMERICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 165
TABLE 125 NORTH AMERICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION) 166
TABLE 126 NORTH AMERICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION) 166
TABLE 127 NORTH AMERICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION) 166
TABLE 128 NORTH AMERICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 167
TABLE 129 NORTH AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION) 167
TABLE 130 NORTH AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION) 167
TABLE 131 NORTH AMERICA: AI AS A SERVICE MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 168
TABLE 132 NORTH AMERICA: AI AS A SERVICE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 168
12.2.3 US 168
12.2.3.1 Increase in demand for AI-powered solutions across industries in US 168
TABLE 133 US: AI AS A SERVICE MARKET INVESTMENT INITIATIVES 169
12.2.4 CANADA 170
12.2.4.1 Robust AI ecosystem in Canada 170
TABLE 134 CANADA: AI AS A SERVICE MARKET INVESTMENT INITIATIVES 170
12.3 EUROPE 171
12.3.1 EUROPE: AI AS A SERVICE MARKET DRIVERS 171
12.3.2 EUROPE: IMPACT OF RECESSION 172
TABLE 135 EUROPE: AI AS A SERVICE MARKET, BY OFFERING, 2017–2022 (USD MILLION) 172
TABLE 136 EUROPE: AI AS A SERVICE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 172
TABLE 137 EUROPE: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 173
TABLE 138 EUROPE: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 173
TABLE 139 EUROPE: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION) 173
TABLE 140 EUROPE: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION) 174
TABLE 141 EUROPE: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION) 174
TABLE 142 EUROPE: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 174
TABLE 143 EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION) 174
TABLE 144 EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION) 175
TABLE 145 EUROPE: AI AS A SERVICE MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 175
TABLE 146 EUROPE: AI AS A SERVICE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 175
12.3.3 UK 176
12.3.3.1 Strong focus on research & development, innovative startups, and established tech companies in UK 176
TABLE 147 UK: AI AS A SERVICE MARKET INVESTMENT INITIATIVES 176
12.3.4 GERMANY 177
12.3.4.1 Technological initiatives pertaining to AIaaS by various companies in Germany 177
TABLE 148 GERMANY: AI AS A SERVICE MARKET INVESTMENT INITIATIVES 177
12.3.5 FRANCE 178
12.3.5.1 Growing startup ecosystem in France 178
TABLE 149 FRANCE: AI AS A SERVICE MARKET INVESTMENT INITIATIVES 178
12.3.6 REST OF EUROPE 179
12.4 ASIA PACIFIC 179
12.4.1 ASIA PACIFIC: AI AS A SERVICE MARKET DRIVERS 180
12.4.2 ASIA PACIFIC: IMPACT OF RECESSION 180
FIGURE 36 ASIA PACIFIC: MARKET SNAPSHOT 181
TABLE 150 ASIA PACIFIC: AI AS A SERVICE MARKET, BY OFFERING, 2017–2022 (USD MILLION) 181
TABLE 151 ASIA PACIFIC: AI AS A SERVICE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 182
TABLE 152 ASIA PACIFIC: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 182
TABLE 153 ASIA PACIFIC: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 182
TABLE 154 ASIA PACIFIC: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION) 182
TABLE 155 ASIA PACIFIC: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION) 183
TABLE 156 ASIA PACIFIC: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION) 183
TABLE 157 ASIA PACIFIC: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 183
TABLE 158 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION) 183
TABLE 159 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION) 184
TABLE 160 ASIA PACIFIC: AI AS A SERVICE MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 184
TABLE 161 ASIA PACIFIC: AI AS A SERVICE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 184
TABLE 162 ASIA PACIFIC: AI AS A SERVICE MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION) 185
TABLE 163 ASIA PACIFIC: AI AS A SERVICE MARKET, BY COUNTRY/REGION, 2023–2028 (USD MILLION) 185
12.4.3 CHINA 185
12.4.3.1 AI development in China focused on solving real-world problems and driving economic growth 185
TABLE 164 CHINA: AI AS A SERVICE MARKET INVESTMENT INITIATIVES 186
12.4.4 JAPAN 186
12.4.4.1 AI as a Service takes root in Japan as government and industry collaborate for future growth 186
12.4.5 SOUTH KOREA 187
12.4.5.1 Advanced IT infrastructure, skilled workforce, and government support in South Korea 187
12.4.6 ASEAN 187
12.4.6.1 AI technology to accelerate advancements of sustainable development goals in ASEAN countries 187
12.4.7 INDIA 187
12.4.7.1 Increase in adoption of AI-powered solutions by Indian companies to drive digital transformation 187
12.4.8 AUSTRALIA & NEW ZEALAND 188
12.4.8.1 Artificial intelligence crucial for digital transformation of Australia & New Zealand 188
12.4.9 REST OF ASIA PACIFIC 188
12.5 MIDDLE EAST & AFRICA 189
12.5.1 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET DRIVERS 189
12.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION 189
TABLE 165 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY OFFERING, 2017–2022 (USD MILLION) 190
TABLE 166 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 190
TABLE 167 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 190
TABLE 168 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 191
TABLE 169 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION) 191
TABLE 170 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION) 191
TABLE 171 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION) 192
TABLE 172 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION) 192
TABLE 173 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION) 192
TABLE 174 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION) 192
TABLE 175 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 193
TABLE 176 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 193
TABLE 177 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY COUNTRY, 2017–2022 (USD MILLION) 194
TABLE 178 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 194
12.5.3 KINGDOM OF SAUDI ARABIA 194
12.5.3.1 Rise in digitization and various cloud-based strategies in KSA 194
12.5.4 UNITED ARAB EMIRATES 195
12.5.4.1 UAE government support and diverse range of AI-focused companies and startups 195
12.5.5 ISRAEL 195
12.5.5.1 Expansion of startups in field of AI in Israel 195
12.5.6 TURKEY 196
12.5.6.1 AI-enabled services, availability of cloud computing, and rise of IoT in Turkey 196
12.5.7 SOUTH AFRICA 196
12.5.7.1 Legal system being shaped by AI and ML in South Africa 196
12.5.8 REST OF THE MIDDLE EAST & AFRICA 197
12.6 LATIN AMERICA 197
12.6.1 LATIN AMERICA: AI AS A SERVICE MARKET DRIVERS 197
12.6.2 LATIN AMERICA: IMPACT OF RECESSION 198
TABLE 179 LATIN AMERICA: AI AS A SERVICE MARKET, BY OFFERING, 2017–2022 (USD MILLION) 198
TABLE 180 LATIN AMERICA: AI AS A SERVICE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 199
TABLE 181 LATIN AMERICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 199
TABLE 182 LATIN AMERICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 199
TABLE 183 LATIN AMERICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION) 199
TABLE 184 LATIN AMERICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION) 200
TABLE 185 LATIN AMERICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION) 200
TABLE 186 LATIN AMERICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023–2028(USD MILLION) 200
TABLE 187 LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION) 200
TABLE 188 LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION) 201
TABLE 189 LATIN AMERICA: AI AS A SERVICE MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 201
TABLE 190 LATIN AMERICA: AI AS A SERVICE MARKET, BY VERTICAL, 2023–2028(USD MILLION) 201
TABLE 191 LATIN AMERICA: AI AS A SERVICE MARKET, BY COUNTRY, 2017–2022 (USD MILLION) 202
TABLE 192 LATIN AMERICA: AI AS A SERVICE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 202
12.6.3 BRAZIL 202
12.6.3.1 Initiatives by Brazil to promote development of AI skills and capabilities 202
12.6.4 MEXICO 203
12.6.4.1 Government initiatives in Mexico aimed at AI solutions 203
12.6.5 REST OF LATIN AMERICA 203

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Table of Contents

Summary

The market for AI as a Service is projected to grow from USD 9.3 billion in 2023 to USD 55.0 billion by 2028, at a CAGR of 42.6% during the forecast period. AI as a service refers to the provision of AI tools and platforms by third-party providers to businesses that want to integrate AI into their operations. It provides companies with access to pre-built AI models, APIs, and other tools that can be easily integrated into their existing systems. The growth of AI as a service (AIaaS) is being driven by the increasing demand for AI-powered solutions across industries. The availability of big data and the rise of cloud computing have made it easier for businesses to adopt AIaaS.
The large enterprises' segment is projected to be the largest market during the forecast period
Large enterprises have shown more inclination toward advanced technologies, such as AI, Machine Learning, and Natural Language Processing, than small and medium-sized enterprises. They possess a considerable amount of data across business functions, which they need to analyze for entity extraction, text classification, summarization, and sentiment analysis. AIaaS solutions help large enterprises develop and deploy new AI-driven products and services, enabling them to stay competitive and meet evolving customer demands. AIaaS is a crucial technology for large enterprises looking to stay at the forefront of technological innovation and drive growth in a fast-paced business environment.
The PaaS segment is registered to grow at the highest CAGR during the forecast period
Platform as a Service (PaaS) provides businesses with pre-built platforms and tools for developing and deploying AI applications. These platforms typically include pre-trained models and APIs, as well as development tools for customizing and building new models. With PaaS, businesses can leverage the expertise of the platform provider and quickly develop AI applications without having to build everything from scratch.
Among verticals, the BFSI vertical is anticipated to account for the largest market size during the forecast period
The BFSI industry is harnessing the power of AI to transform the way they engage with customers, manage risks, and optimize operations. These organizations leverage AI algorithms and tools to streamline processes, reduce costs, and enhance customer experiences. Banks use AI to improve fraud detection and prevention, customer identification and authentication, and personalized financial advice. Organizations in the BFSI space are investing heavily in AIaaS technologies to stay ahead in the race for digital transformation. By partnering with AIaaS providers, BFSI organizations can access cutting-edge AI technologies, such as natural language processing and predictive analytics, to improve their business outcomes and stay ahead of the competition.
North America to account for the largest market size during the forecast period
North America is estimated to account for the largest share of the AI as a Service market. The global market for AI as a Service is dominated by North America. North America is the highest revenue-generating region in the global AI as a Service market, with the US constituting the highest market share, followed by Canada. Countries such as the US, Canada, and Mexico are adopting AI technology in multiple application areas, propelling the growth of AI in this region. North America is a global leader in the development of AI technology, with many of the world’s largest AI companies based in the region. The region has witnessed favorable conditions for market growth due to the implementation of data management technologies, government regulations, established player presence, and interest from enterprises to apply ML and BI solutions.
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 AI as a Service market.
 By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
 By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
 By Region: APAC: 30%, Europe: 20%, North America: 40%, MEA: 5%, Latin America: 5%
Major vendors offering AI as a Service solutions and services across the globe are IBM (US), Microsoft (US), Google (US), AWS (US), FICO (US), SAS Institute (US), Baidu (China, SAP (Germany), Salesforce (US), Oracle (US), Iris.AI (US), Craft.AI (France), BigML (US), H2O.ai (US), Vital.ai (US), Fuzzy.ai (Canada), RainBird Technologies (UK), SiftScience (US) DataBricks (US), CenturySoft (India), DataRobot (US), Alibaba (China), Tencent (China), Dataiku (US), Yottamine Analytics (US), Tecnotree (Finland), Cloudera (US), and Meya.ai (KSA).
Research Coverage
The market study covers AI as a service across segments. It aims at estimating the market size and the growth potential across different segments, such as offering, technology, cloud type, organization size, 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 market for AI as a Service 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.
The report provides insights on the following pointers:

• Analysis of key drivers (growth importance of data-driven decision making process), restraints (lack of skilled employees), opportunities (increase in need of intelligent business applications), and challenges (sensitivity involved in security of data) influencing the growth of the AI as a Service market

• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI as a Service market.

• Market Development: Comprehensive information about lucrative markets – the report analyses the AI as a Service market across varied regions

• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in AI as a Service market strategies; the report also helps stakeholders understand the pulse of the AI as a Service market and provides them with information on key market drivers, restraints, challenges, and opportunities

• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), Google (US), AWS(US), Microsoft (US), Salesforce (US), among others in the AI as a Service market.

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