市場調査レポート
商品コード
1267438

AIaaS (AI as a Service) の世界市場:提供別 (SaaS、PaaS、IaaS)・技術別 (機械学習、自然言語処理、コンテキストアウェアネス、コンピュータービジョン)・クラウドの種類別 (パブリック、プライベート、ハイブリッド)・組織規模別・業種別・地域別の将来予測 (2028年まで)

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

出版日: | 発行: MarketsandMarkets | ページ情報: 英文 327 Pages | 納期: 即納可能 即納可能とは

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価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=151.55円
AIaaS (AI as a Service) の世界市場:提供別 (SaaS、PaaS、IaaS)・技術別 (機械学習、自然言語処理、コンテキストアウェアネス、コンピュータービジョン)・クラウドの種類別 (パブリック、プライベート、ハイブリッド)・組織規模別・業種別・地域別の将来予測 (2028年まで)
出版日: 2023年05月01日
発行: MarketsandMarkets
ページ情報: 英文 327 Pages
納期: 即納可能 即納可能とは
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  • 概要
  • 目次
概要

世界のAIaaS (AI as a Service) の市場規模は、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。

AIaaSとは、AIを業務に取り入れたいと考える企業に向けて、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。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。

大企業向けセグメントが、予測期間中に最大の市場となる

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進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す。

PaaSセグメントは、予測期間中に最も高いCAGRで成長する

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。

業種別では、BFSIが予測期間中に最大の市場規模を占める

BFSI業界は、AIの力を活用し、顧客との関係性やリスク管理、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・認証、個別化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技術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、競合に打ち勝つことができます。

北米が、予測期間中に最大の市場規模を占める。

北米は世界のAIaaSの市場で最大のシェアを占めると推定されます。北米は、世界のAIaaSの市場で最も高い収益を生み出している地域であり、米国が最も高い市場シェアを占め、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、複数の活用領域で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国際的リーダーであり、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、既存企業の存在、ML・BIソリューションの適用に対する企業の関心といった、市場成長のための好条件を備えています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

第5章 市場概要

  • イントロダクション
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題

第6章 業界の動向

  • AIaaSの略史
  • バリューチェーン分析
  • エコシステムマッピング
  • ケーススタディ分析
  • 技術分析
  • ポーターのファイブフォースモデル
  • 特許分析
  • 価格分析
  • 主要な利害関係者と購入基準
  • AIaaS市場のバイヤー/顧客に影響を与える混乱
  • 主要な会議とイベント
  • 規制状況
  • データセンターにおけるAIaaSベースのアプリケーション
  • AIaaSの使用例
  • AIaaSの将来の方向性:市場情勢

第7章 AIaaSシステム市場:提供別

  • イントロダクション
  • IaaS (Infrastructure as a Service)
  • PaaS (Platform as a Service)
  • SaaS (Software as a Service)

第8章 AIaaS市場:技術別

  • イントロダクション
  • 機械学習
    • 深層学習
    • 教師あり学習
    • 教師なし学習
    • 強化学習
    • その他の機械学習技術
  • 自然言語処理
  • コンテキストアウェアネス
  • コンピュータービジョン

第9章 AIaaS市場:クラウドの種類別

  • イントロダクション
  • パブリッククラウド
  • ハイブリッドクラウド
  • プライベートクラウド

第10章 AIaaS市場:組織規模別

  • イントロダクション
  • 中小企業
  • 大企業

第11章 AIaaSシステム市場:業種別

  • イントロダクション
  • 銀行・金融サービス・保険 (BFSI)
    • 強化型顧客サービスの需要
    • 顧客体験の向上
    • 将来の業績・動向の予測
    • ロボットによるプロセス自動化
    • 信用決定
    • 不正行為の検出・防止
    • その他のBFSI向け用途
  • 小売業・eコマース
    • 商品の推薦・企画
    • 顧客関係管理 (CRM)
    • ビジュアル検索
    • バーチャルアシスタント
    • 価格の最適化
    • 決済サービス管理
    • サプライチェーン管理・需要計画
    • 仮想店舗
    • その他の小売業・eコマース向け用途
  • 医療・ライフサイエンス
    • 患者データ・リスク分析
    • ライフスタイル管理・モニタリング
    • 精密医療
    • 入院患者ケア・病院管理
    • 医療画像処理・診断
    • 創薬
    • バーチャルアシスタント
    • ウェアラブル
    • 医学研究
    • その他の医療向け用途
  • IT/ITES
    • 予知保全
    • 顧客サポート向け仮想アシスタント
    • その他のIT/ITES向け用途
  • 通信
    • ネットワークの最適化
    • ネットワークの異常
    • その他の通信向け用途
  • 政府・防衛
    • カスタマーサービス用チャットボット
    • 自律型ドローン
    • 監視
    • 犯罪予測・警察の最適配備の推奨
    • 不正な給付金請求の特定
    • その他の政府・防衛向け用途
  • 製造業
    • 材料移動
    • 予知保全・機械検査
    • 生産計画
    • 現場サービス
    • 再生
    • 品質管理
    • 生産ライン最適化
    • その他の製造業向け用途
  • エネルギー・ユーティリティ
    • エネルギー効率に関する意思決定
    • 障害の予測
    • 電力網向け人工知能:スマートグリッドとセクターカップリング
    • 電力取引向け人工知能
    • 仮想発電所向け人工知能
    • スマート水道メーター向け人工知能
    • その他のエネルギー・ユーティリティ向け用途
  • その他の業種

第12章 AIaaS市場:地域別

  • イントロダクション
  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • 日本
    • 韓国
    • ASEAN
    • インド
    • オーストラリア・ニュージーランド
    • その他アジア太平洋
  • 中東・アフリカ
    • サウジアラビア王国
    • アラブ首長国連邦
    • イスラエル
    • トルコ
    • 南アフリカ
    • 中東・アフリカ
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • その他ラテンアメリカ

第13章 競合情勢

  • 概要
  • 主要企業の戦略
  • 収益分析
  • 市場シェア分析
  • 主要企業の評価クアドラント
  • スタートアップ/中小企業の評価クアドラント
  • 競合ベンチマーキング
  • AIaaSの製品情勢
  • 競合シナリオ

第14章 企業プロファイル

  • 主要企業
    • IBM
    • GOOGLE
    • AWS
    • MICROSOFT
    • SALESFORCE
    • FICO
    • SAS INSTITUTE
    • BAIDU
    • SAP
    • AMD XILINX
    • IRIS.AI
    • BIGML
    • H20.AI
    • ABSOLUTDATA
    • VITAL.AI
    • ORACLE
    • ALIBABA CLOUD
    • TENCENT
  • その他の主要企業
    • FUZZY.AI
    • RAINBIRD TECHNOLOGIES
    • CRAFT.AI
    • SIFTSCIENCE
    • DATABRICKS
    • TECNOTREE
    • CENTURY SOFT
    • YOTTAMINE ANALYTICS
    • DATAROBOT
    • MEYA.AI
    • DATAIKU
    • CLOUDERA

第15章 隣接・関連市場

  • イントロダクション
  • 人工知能市場:世界の予測 (2027年まで)
  • PaaS市場:世界の予測 (2026年まで)

第16章 付録

目次
Product Code: TC 6185

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.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 INCLUSIONS AND EXCLUSIONS
  • 1.4 MARKET SCOPE
    • 1.4.1 MARKET SEGMENTATION
    • 1.4.2 REGIONS COVERED
    • 1.4.3 YEARS CONSIDERED
  • 1.5 CURRENCY CONSIDERED
    • TABLE 1 USD EXCHANGE RATES, 2020-2022
  • 1.6 STAKEHOLDERS
  • 1.7 SUMMARY OF CHANGES
    • 1.7.1 IMPACT OF RECESSION

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 AI AS A SERVICE MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Primary interviews
      • 2.1.2.2 Breakup of primary profiles
      • 2.1.2.3 Key industry insights
  • 2.2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • FIGURE 2 AI AS A SERVICE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
    • FIGURE 3 APPROACH 1 (SUPPLY SIDE): REVENUE FROM OFFERING OF AI AS A SERVICE MARKET
    • FIGURE 4 APPROACH 2-BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM OFFERING OF AI AS A SERVICE PLAYERS
    • FIGURE 5 APPROACH 3-BOTTOM-UP (SUPPLY SIDE): REVENUE AND SUBSEQUENT MARKET ESTIMATION FROM OFFERING OF AI AS A SERVICE
    • FIGURE 6 APPROACH 4-BOTTOM-UP (DEMAND SIDE): SHARE OF AI AS A SERVICE OFFERING THROUGH OVERALL AI AS A SERVICE SPENDING
  • 2.4 MARKET FORECAST
    • TABLE 2 FACTOR ANALYSIS
  • 2.5 ASSUMPTIONS
  • 2.6 LIMITATIONS
  • 2.7 IMPACT OF RECESSION ON GLOBAL AI AS A SERVICE MARKET
    • TABLE 3 IMPACT OF RECESSION ON GLOBAL AI AS A SERVICE MARKET

3 EXECUTIVE SUMMARY

    • TABLE 4 AI AS A SERVICE MARKET SIZE AND GROWTH RATE, 2017-2022 (USD MILLION, Y-O-Y GROWTH)
    • TABLE 5 AI AS A SERVICE MARKET SIZE AND GROWTH RATE, 2023-2028 (USD MILLION, Y-O-Y GROWTH)
    • FIGURE 7 IAAS TO ACCOUNT FOR LARGER MARKET SIZE IN 2023 (USD MILLION)
    • FIGURE 8 MACHINE LEARNING TO ACCOUNT FOR LARGEST AI AS A SERVICE MARKET IN 2023
    • FIGURE 9 SUPERVISED LEARNING TO BE LARGEST MACHINE LEARNING MARKET IN 2023
    • FIGURE 10 PUBLIC CLOUD TO ACCOUNT FOR HIGHER IMPLEMENTATION IN 2023
    • FIGURE 11 LARGE ENTERPRISES SEGMENT TO BE LARGER USERS IN MARKET IN 2023
    • FIGURE 12 BFSI TO BE LARGEST VERTICAL MARKET IN 2023
    • FIGURE 13 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE MARKET OPPORTUNITIES FOR AI AS A SERVICE MARKET PLAYERS
    • FIGURE 14 HIGH DEMAND FOR PLATFORM TRANSFERRING DATA FROM ON-PREMISES TO CLOUD TO DRIVE AI AS A SERVICE MARKET
  • 4.2 OVERVIEW OF RECESSION IN GLOBAL AI AS A SERVICE MARKET
    • FIGURE 15 AI AS A SERVICE MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
  • 4.3 AI AS A SERVICE MARKET, BY VERTICAL
    • FIGURE 16 HEALTHCARE AND LIFE SCIENCES VERTICAL TO BE FASTEST-GROWING MARKET DURING FORECAST PERIOD
  • 4.4 AI AS A SERVICE MARKET, BY REGION
    • FIGURE 17 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE BY 2028
  • 4.5 AI AS A SERVICE MARKET: TOP COMPONENT AND VERTICALS
    • FIGURE 18 OFFERING AND BFSI TO ACCOUNT FOR LARGEST RESPECTIVE MARKET SHARES BY 2028

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 19 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI AS A SERVICE MARKET
    • 5.2.1 DRIVERS
      • 5.2.1.1 Growth in importance of data-driven decision-making in business
      • 5.2.1.2 Increase in need to provide enhanced customer experience and gain competitive advantage
      • 5.2.1.3 Rise in demand for AI-powered services in API and SDK forms
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Lack of skilled employees
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Increase in need for intelligent business applications
      • 5.2.3.2 Growth in demand for AI service integrators
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Sensitivity involved with security of data

6 INDUSTRY TRENDS

  • 6.1 BRIEF HISTORY OF AI AS A SERVICE
  • 6.2 VALUE CHAIN ANALYSIS
    • FIGURE 20 AI AS A SERVICE MARKET: VALUE CHAIN ANALYSIS
    • 6.2.1 DATA COLLECTION & PREPARATION
    • 6.2.2 ALGORITHM DEVELOPMENT
    • 6.2.3 MODEL TRAINING
    • 6.2.4 MODEL TESTING & VALIDATION
    • 6.2.5 DEPLOYMENT & INTEGRATION
    • 6.2.6 MAINTENANCE & SUPPORT
  • 6.3 ECOSYSTEM MAPPING
    • TABLE 6 AI AS A SERVICE MARKET: CLOUD PROVIDERS
    • TABLE 7 AI AS A SERVICE MARKET: PLATFORM PROVIDERS
    • TABLE 8 AI AS A SERVICE MARKET: AI SERVICE PROVIDERS
    • TABLE 9 AI AS A SERVICE MARKET: DATA PROVIDERS
    • TABLE 10 AI AS A SERVICE MARKET: BUSINESS APPLICATIONS
    • TABLE 11 AI AS A SERVICE MARKET: REGULATORY BODIES
    • FIGURE 21 AI AS A SERVICE ECOSYSTEM
  • 6.4 CASE STUDY ANALYSIS
    • TABLE 12 GOVERNMENT & DEFENSE: MICROSOFT AZURE AIAAS EMPOWERS ALASKA AIRLINES TO OPTIMIZE ON-TIME PERFORMANCE WITH PREDICTIVE MAINTENANCE
    • TABLE 13 BFSI: IMPROVING CUSTOMER SERVICE AND FRAUD DETECTION WITH IBM AIAAS
    • TABLE 14 HEALTHCARE: TRANSFORMING PATIENT CARE AND ENGAGEMENT WITH GOOGLE AIAAS
    • TABLE 15 RETAIL: AWS AIAAS IMPROVING PRODUCT OFFERINGS, PRICING STRATEGIES, AND MARKETING CAMPAIGNS
    • TABLE 16 MANUFACTURING: OPTIMIZING PRODUCTION PROCESSES WITH BAIDU AIAAS
    • TABLE 17 IT/ITES: AUTOMATING SUPPORT REQUEST TRIAGE WITH SALESFORCE AIAAS
  • 6.5 TECHNOLOGY ANALYSIS
    • 6.5.1 RELATED TECHNOLOGY
      • 6.5.1.1 Machine learning
      • 6.5.1.2 Big data
      • 6.5.1.3 Natural language processing
      • 6.5.1.4 Cloud computing
    • 6.5.2 ALLIED TECHNOLOGIES
      • 6.5.2.1 Edge computing
      • 6.5.2.2 IoT
      • 6.5.2.3 Blockchain
  • 6.6 PORTER'S FIVE FORCES MODEL
    • TABLE 18 AI AS A SERVICE MARKET: PORTER'S FIVE FORCES MODEL
    • 6.6.1 THREAT OF NEW ENTRANTS
    • 6.6.2 THREAT OF SUBSTITUTES
    • 6.6.3 BARGAINING POWER OF BUYERS
    • 6.6.4 BARGAINING POWER OF SUPPLIERS
    • 6.6.5 INTENSITY OF COMPETITIVE RIVALRY
  • 6.7 PATENT ANALYSIS
    • 6.7.1 METHODOLOGY
    • 6.7.2 DOCUMENT TYPES
    • TABLE 19 PATENTS FILED, 2019-2022
    • 6.7.3 INNOVATION & PATENT APPLICATIONS
    • FIGURE 22 NUMBER OF PATENTS GRANTED ANNUALLY, 2019-2022
      • 6.7.3.1 Top applicants
    • FIGURE 23 TOP 10 AI AS A SERVICE PATENT APPLICANTS, 2019-2022
    • TABLE 20 LIST OF PATENTS IN AI AS A SERVICE MARKET, 2021-2023
  • 6.8 PRICING ANALYSIS
    • TABLE 21 PRICING ANALYSIS
  • 6.9 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 6.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 24 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
    • TABLE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
    • 6.9.2 BUYING CRITERIA
    • FIGURE 25 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    • TABLE 23 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • 6.10 DISRUPTIONS IMPACTING BUYERS/CLIENTS IN AI AS A SERVICE MARKET
    • FIGURE 26 AI AS A SERVICE MARKET: DISRUPTIONS IMPACTING BUYERS/CLIENTS
  • 6.11 KEY CONFERENCES & EVENTS
    • TABLE 24 AI AS A SERVICE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2023-2024
  • 6.12 REGULATORY LANDSCAPE
    • 6.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 25 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 26 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 27 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 28 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
      • 6.12.1.1 North America
        • 6.12.1.1.1 US
        • 6.12.1.1.2 Canada
      • 6.12.1.2 Europe
      • 6.12.1.3 Asia Pacific
        • 6.12.1.3.1 South Korea
        • 6.12.1.3.2 China
        • 6.12.1.3.3 India
      • 6.12.1.4 Middle East & Africa
        • 6.12.1.4.1 UAE
        • 6.12.1.4.2 KSA
        • 6.12.1.4.3 Bahrain
      • 6.12.1.5 Latin America
        • 6.12.1.5.1 Brazil
        • 6.12.1.5.2 Mexico
  • 6.13 AI AS A SERVICE-BASED APPLICATION IN DATA CENTERS
    • TABLE 29 AI AS A SERVICE-BASED APPLICATION IN DATA CENTERS
  • 6.14 AI AS A SERVICE USE CASES
    • 6.14.1 DATA PREPARATION & MANAGEMENT
    • TABLE 30 DATA PREPARATION & MANAGEMENT USE CASES
      • 6.14.1.1 Model development, training, and tuning
    • TABLE 31 MODEL DEVELOPMENT, TRAINING, AND TUNING USE CASES
      • 6.14.1.2 Model deployment & management
    • TABLE 32 MODEL DEPLOYMENT & MANAGEMENT USE CASES
      • 6.14.1.3 Customization & integration
    • TABLE 33 CUSTOMIZATION & INTEGRATION USE CASES
      • 6.14.1.4 Data collection & annotation
    • TABLE 34 DATA COLLECTION & ANNOTATION USE CASES
      • 6.14.1.5 Analytics & monitoring
    • TABLE 35 ANALYTICS & MONITORING USE CASES
  • 6.15 FUTURE DIRECTIONS OF AI AS A SERVICE MARKET LANDSCAPE
    • TABLE 36 SHORT-TERM ROADMAP, 2023-2025
    • TABLE 37 MID-TERM ROADMAP, 2026-2028
    • TABLE 38 LONG-TERM ROADMAP, 2029-2030

7 AI AS A SERVICE MARKET, BY OFFERING

  • 7.1 INTRODUCTION
    • 7.1.1 OFFERING: AI AS A SERVICE MARKET DRIVERS
    • FIGURE 27 AI AS A SERVICE MARKET FOR OFFERING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 39 AI AS A SERVICE MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 40 AI AS A SERVICE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 7.2 INFRASTRUCTURE AS A SERVICE
    • 7.2.1 FLEXIBILITY TO SCALE UP OR DOWN OFFERED BASED ON AI WORKLOADS
    • TABLE 41 INFRASTRUCTURE AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 42 INFRASTRUCTURE AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.3 PLATFORM AS A SERVICE
    • 7.3.1 ACCELERATING AI APPLICATION DEVELOPMENT AND DEPLOYMENT WITH PAAS
    • TABLE 43 PLATFORM AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 44 PLATFORM AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.4 SOFTWARE AS A SERVICE
    • 7.4.1 EASY ACCESS AND ADOPTION OF AI TECHNOLOGY FOR BUSINESSES
    • TABLE 45 SOFTWARE AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 46 SOFTWARE AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)

8 AI AS A SERVICE MARKET, BY TECHNOLOGY

  • 8.1 INTRODUCTION
    • 8.1.1 TECHNOLOGY: AI AS A SERVICE MARKET DRIVERS
    • FIGURE 28 COMPUTER VISION TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 47 AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 48 AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • 8.2 MACHINE LEARNING
    • 8.2.1 EMPOWERING BUSINESSES BY AUTOMATING PROCESSES, ANALYZING DATA, AND MAKING PREDICTIONS
    • FIGURE 29 SUPERVISED LEARNING TO BE LARGEST MARKET DURING FORECAST PERIOD
    • TABLE 49 AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION)
    • TABLE 50 AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023-2028 (USD MILLION)
    • TABLE 51 MACHINE LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 52 MACHINE LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.2.2 DEEP LEARNING
      • 8.2.2.1 Deep learning to drive efficiency, innovation, and competitiveness
    • TABLE 53 DEEP LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 54 DEEP LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.2.3 SUPERVISED LEARNING
      • 8.2.3.1 Supervised learning to empower business decision-making
    • TABLE 55 SUPERVISED LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 56 SUPERVISED LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.2.4 UNSUPERVISED LEARNING
      • 8.2.4.1 Increase in use of predictive analytics in project management to boost profitability and competitiveness
    • TABLE 57 UNSUPERVISED LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 58 UNSUPERVISED LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.2.5 REINFORCEMENT LEARNING
      • 8.2.5.1 Employing speech recognition to reduce time and effort
    • TABLE 59 REINFORCEMENT LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 60 REINFORCEMENT LEARNING: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 8.2.6 OTHER MACHINE LEARNING TECHNOLOGIES
    • TABLE 61 OTHER MACHINE LEARNING TECHNOLOGIES: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 62 OTHER MACHINE LEARNING TECHNOLOGIES: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.3 NATURAL LANGUAGE PROCESSING
    • 8.3.1 NLP UTILIZED TO ENHANCE LANGUAGE PROCESSING CAPABILITIES
    • TABLE 63 NATURAL LANGUAGE PROCESSING: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 64 NATURAL LANGUAGE PROCESSING: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.4 CONTEXT AWARENESS
    • 8.4.1 CONTEXT AWARENESS USED TO PROVIDE PERSONALIZED USER EXPERIENCES
    • TABLE 65 CONTEXT AWARENESS: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 66 CONTEXT AWARENESS: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.5 COMPUTER VISION
    • 8.5.1 LEVERAGING AI TECHNOLOGY BY INTEGRATING COMPUTER VISION INTO BUSINESSES
    • TABLE 67 COMPUTER VISION: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 68 COMPUTER VISION: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)

9 AI AS A SERVICE MARKET, BY CLOUD TYPE

  • 9.1 INTRODUCTION
    • 9.1.1 CLOUD TYPE: AI AS A SERVICE MARKET DRIVERS
    • FIGURE 30 PRIVATE CLOUD TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 69 AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 70 AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023-2028 (USD MILLION)
  • 9.2 PUBLIC CLOUD
    • 9.2.1 COST-EFFECTIVE AND SCALABLE AI CAPABILITIES OF PUBLIC CLOUD
    • TABLE 71 PUBLIC CLOUD: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 72 PUBLIC CLOUD: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.3 HYBRID CLOUD
    • 9.3.1 ABILITY TO DEPLOY AI WORKLOADS ON BOTH PUBLIC AND PRIVATE INFRASTRUCTURES
    • TABLE 73 HYBRID CLOUD: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 74 HYBRID CLOUD: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.4 PRIVATE CLOUD
    • 9.4.1 HIGHER LEVELS OF SECURITY AND CONTROL IN PRIVATE CLOUD
    • TABLE 75 PRIVATE CLOUD: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 76 PRIVATE CLOUD: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)

10 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE

  • 10.1 INTRODUCTION
    • 10.1.1 ORGANIZATION SIZE: AI AS A SERVICE MARKET DRIVERS
    • FIGURE 31 SMALL & MEDIUM-SIZED ENTERPRISES TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 77 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 78 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
  • 10.2 SMALL & MEDIUM-SIZED ENTERPRISES
    • 10.2.1 NEED TO LEVERAGE ADVANCED TECHNOLOGIES WITHOUT SIGNIFICANT UPFRONT INVESTMENTS
    • TABLE 79 SMALL & MEDIUM-SIZED ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 80 SMALL & MEDIUM-SIZED ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.3 LARGE ENTERPRISES
    • 10.3.1 GROWING ADOPTION OF AIAAS TO IMPROVE EFFICIENCY AND GAIN COMPETITIVE ADVANTAGE
    • TABLE 81 LARGE ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 82 LARGE ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)

11 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL

  • 11.1 INTRODUCTION
    • 11.1.1 VERTICAL: AI AS A SERVICE MARKET DRIVERS
    • FIGURE 32 HEALTHCARE & LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 83 AI AS A SERVICE MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 84 AI AS A SERVICE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
  • 11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    • 11.2.1 DEMAND FOR ENHANCED CUSTOMER SERVICE
    • TABLE 85 AI AS A SERVICE MARKET IN BFSI VERTICAL, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 86 AI AS A SERVICE MARKET IN BFSI VERTICAL, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 87 AI AS A SERVICE MARKET IN BFSI VERTICAL, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 88 AI AS A SERVICE MARKET IN BFSI VERTICAL, BY APPLICATION, 2023-2028 (USD MILLION)
    • 11.2.2 ENHANCED CUSTOMER EXPERIENCE
    • 11.2.3 PREDICTION OF FUTURE OUTCOMES & TRENDS
    • 11.2.4 ROBOTIC AUTOMATION OF PROCESSES
    • 11.2.5 CREDIT DECISIONS
    • 11.2.6 FRAUD DETECTION & PREVENTION
    • 11.2.7 OTHER BFSI APPLICATIONS
  • 11.3 RETAIL & ECOMMERCE
    • 11.3.1 AI HELPS UNDERSTAND CONSUMER BEHAVIOR, ALLOWING MARKETERS INFLUENCE BUYER DECISIONS
    • TABLE 89 AI AS A SERVICE MARKET IN RETAIL & ECOMMERCE VERTICAL, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 90 AI AS A SERVICE MARKET IN RETAIL & ECOMMERCE VERTICAL, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 91 AI AS A SERVICE MARKET IN RETAIL & ECOMMERCE VERTICAL, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 92 AI AS A SERVICE MARKET IN RETAIL & ECOMMERCE VERTICAL, BY APPLICATION, 2023-2028 (USD MILLION)
    • 11.3.2 PRODUCT RECOMMENDATION & PLANNING
    • 11.3.3 CUSTOMER RELATIONSHIP MANAGEMENT
    • 11.3.4 VISUAL SEARCH
    • 11.3.5 VIRTUAL ASSISTANT
    • 11.3.6 PRICE OPTIMIZATION
    • 11.3.7 PAYMENT SERVICES MANAGEMENT
    • 11.3.8 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING
    • 11.3.9 VIRTUAL STORES
    • 11.3.10 OTHER RETAIL & ECOMMERCE APPLICATIONS
  • 11.4 HEALTHCARE & LIFE SCIENCES
    • 11.4.1 USE OF AI TO ACCELERATE GROWTH OF MEDICAL IMAGING & DIAGNOSTICS
    • TABLE 93 AI AS A SERVICE MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 94 AI AS A SERVICE MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 95 AI AS A SERVICE MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 96 AI AS A SERVICE MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY APPLICATION, 2023-2028 (USD MILLION)
    • 11.4.2 PATIENT DATA & RISK ANALYSIS
    • 11.4.3 LIFESTYLE MANAGEMENT & MONITORING
    • 11.4.4 PRECISION MEDICINE
    • 11.4.5 INPATIENT CARE & HOSPITAL MANAGEMENT
    • 11.4.6 MEDICAL IMAGING & DIAGNOSTICS
    • 11.4.7 DRUG DISCOVERY
    • 11.4.8 VIRTUAL ASSISTANT
    • 11.4.9 WEARABLES
    • 11.4.10 MEDICAL RESEARCH
    • 11.4.11 OTHER HEALTHCARE APPLICATIONS
  • 11.5 IT/ITES
    • 11.5.1 RISE IN COMPLEXITY AND FAST INNOVATIONS TO MANAGE IT OPERATIONS EFFECTIVELY
    • TABLE 97 AI AS A SERVICE MARKET IN IT/ITES VERTICAL, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 98 AI AS A SERVICE MARKET IN IT/ITES VERTICAL, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 99 AI AS A SERVICE MARKET IN IT/ITES VERTICAL, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 100 AI AS A SERVICE MARKET IN IT/ITES VERTICAL, BY APPLICATION, 2023-2028 (USD MILLION)
    • 11.5.2 PREDICTIVE MAINTENANCE
    • 11.5.3 VIRTUAL ASSISTANTS FOR CUSTOMER SUPPORT
    • 11.5.4 OTHER IT/ITES APPLICATIONS
  • 11.6 TELECOMMUNICATION
    • 11.6.1 ENHANCED CONTACT CENTER EFFECTIVENESS, REDUCED OPERATIONAL COSTS, AND IMPROVED SERVICES OF AI
    • TABLE 101 AI AS A SERVICE MARKET IN TELECOMMUNICATION VERTICAL, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 102 AI AS A SERVICE MARKET IN TELECOMMUNICATION VERTICAL, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 103 AI AS A SERVICE MARKET IN TELECOMMUNICATION VERTICAL, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 104 AI AS A SERVICE MARKET IN TELECOMMUNICATION VERTICAL, BY APPLICATION, 2023-2028 (USD MILLION)
    • 11.6.2 NETWORK OPTIMIZATION
    • 11.6.3 NETWORK ANOMALIES
    • 11.6.4 OTHER TELECOMMUNICATION APPLICATIONS
  • 11.7 GOVERNMENT & DEFENSE
    • 11.7.1 ENDEAVOR TO SOLVE COMPLEX PROBLEMS AND ENHANCE DECISION-MAKING PROCESS
    • TABLE 105 AI AS A SERVICE MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 106 AI AS A SERVICE MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 107 AI AS A SERVICE MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 108 AI AS A SERVICE MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY APPLICATION, 2023-2028 (USD MILLION)
    • 11.7.2 CUSTOMER SERVICE CHATBOTS
    • 11.7.3 AUTONOMOUS DRONES
    • 11.7.4 SURVEILLANCE
    • 11.7.5 PREDICTING CRIMES & RECOMMENDING OPTIMAL POLICE PRESENCE
    • 11.7.6 IDENTIFYING FRAUDULENT BENEFITS CLAIMS
    • 11.7.7 OTHER GOVERNMENT & DEFENSE APPLICATIONS
  • 11.8 MANUFACTURING
    • 11.8.1 NEED FOR ENHANCED PERFORMANCE AND REDUCED REDUNDANCIES IN MANUFACTURING
    • TABLE 109 AI AS A SERVICE MARKET IN MANUFACTURING VERTICAL, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 110 AI AS A SERVICE MARKET IN MANUFACTURING VERTICAL, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 111 AI AS A SERVICE MARKET IN MANUFACTURING VERTICAL, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 112 AI AS A SERVICE MARKET IN MANUFACTURING VERTICAL, BY APPLICATION, 2023-2028 (USD MILLION)
    • 11.8.2 MATERIAL MOVEMENTS
    • 11.8.3 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION
    • 11.8.4 PRODUCTION PLANNING
    • 11.8.5 FIELD SERVICES
    • 11.8.6 RECLAMATION
    • 11.8.7 QUALITY CONTROL
    • 11.8.8 PRODUCTION LINE OPTIMIZATION
    • 11.8.9 OTHER MANUFACTURING APPLICATIONS
  • 11.9 ENERGY & UTILITIES
    • 11.9.1 ADVANCED AI TECHNOLOGIES HELP BUILD ACCOUNTABLE, TRANSPARENT, FAIR, AND SECURE SYSTEMS
    • TABLE 113 AI AS A SERVICE MARKET IN ENERGY & UTILITIES VERTICAL, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 114 AI AS A SERVICE MARKET IN ENERGY & UTILITIES VERTICAL, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 115 AI AS A SERVICE MARKET IN ENERGY & UTILITIES VERTICAL, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 116 AI AS A SERVICE MARKET IN ENERGY & UTILITIES VERTICAL, BY APPLICATION, 2023-2028 (USD MILLION)
    • 11.9.2 ENERGY EFFICIENCY DECISION-MAKING
    • 11.9.3 FAULT PREDICTION
    • 11.9.4 ARTIFICIAL INTELLIGENCE IN POWER GRIDS - SMART GRIDS & SECTOR COUPLING
    • 11.9.5 ARTIFICIAL INTELLIGENCE IN ELECTRICITY TRADING
    • 11.9.6 ARTIFICIAL INTELLIGENCE IN VIRTUAL POWER PLANT
    • 11.9.7 ARTIFICIAL INTELLIGENCE IN SMART WATER METER
    • 11.9.8 OTHER ENERGY & UTILITY APPLICATIONS
  • 11.10 OTHER VERTICALS
    • TABLE 117 AI AS A SERVICE MARKET IN OTHER VERTICALS, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 118 AI AS A SERVICE MARKET IN OTHER VERTICALS, BY REGION, 2023-2028 (USD MILLION)

12 AI AS A SERVICE MARKET, BY REGION

  • 12.1 INTRODUCTION
    • 12.1.1 AI AS A SERVICE MARKET: IMPACT OF RECESSION
    • FIGURE 33 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
    • FIGURE 34 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 119 AI AS A SERVICE MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 120 AI AS A SERVICE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 12.2 NORTH AMERICA
    • 12.2.1 NORTH AMERICA: AI AS A SERVICE MARKET DRIVERS
    • 12.2.2 NORTH AMERICA: IMPACT OF RECESSION
    • FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT
    • TABLE 121 NORTH AMERICA: AI AS A SERVICE MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 122 NORTH AMERICA: AI AS A SERVICE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 123 NORTH AMERICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 124 NORTH AMERICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 125 NORTH AMERICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION)
    • TABLE 126 NORTH AMERICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023-2028 (USD MILLION)
    • TABLE 127 NORTH AMERICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 128 NORTH AMERICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 129 NORTH AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 130 NORTH AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 131 NORTH AMERICA: AI AS A SERVICE MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 132 NORTH AMERICA: AI AS A SERVICE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • 12.2.3 US
      • 12.2.3.1 Increase in demand for AI-powered solutions across industries in US
    • TABLE 133 US: AI AS A SERVICE MARKET INVESTMENT INITIATIVES
    • 12.2.4 CANADA
      • 12.2.4.1 Robust AI ecosystem in Canada
    • TABLE 134 CANADA: AI AS A SERVICE MARKET INVESTMENT INITIATIVES
  • 12.3 EUROPE
    • 12.3.1 EUROPE: AI AS A SERVICE MARKET DRIVERS
    • 12.3.2 EUROPE: IMPACT OF RECESSION
    • TABLE 135 EUROPE: AI AS A SERVICE MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 136 EUROPE: AI AS A SERVICE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 137 EUROPE: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 138 EUROPE: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 139 EUROPE: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION)
    • TABLE 140 EUROPE: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023-2028 (USD MILLION)
    • TABLE 141 EUROPE: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 142 EUROPE: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 143 EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 144 EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 145 EUROPE: AI AS A SERVICE MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 146 EUROPE: AI AS A SERVICE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • 12.3.3 UK
      • 12.3.3.1 Strong focus on research & development, innovative startups, and established tech companies in UK
    • TABLE 147 UK: AI AS A SERVICE MARKET INVESTMENT INITIATIVES
    • 12.3.4 GERMANY
      • 12.3.4.1 Technological initiatives pertaining to AIaaS by various companies in Germany
    • TABLE 148 GERMANY: AI AS A SERVICE MARKET INVESTMENT INITIATIVES
    • 12.3.5 FRANCE
      • 12.3.5.1 Growing startup ecosystem in France
    • TABLE 149 FRANCE: AI AS A SERVICE MARKET INVESTMENT INITIATIVES
    • 12.3.6 REST OF EUROPE
  • 12.4 ASIA PACIFIC
    • 12.4.1 ASIA PACIFIC: AI AS A SERVICE MARKET DRIVERS
    • 12.4.2 ASIA PACIFIC: IMPACT OF RECESSION
    • FIGURE 36 ASIA PACIFIC: MARKET SNAPSHOT
    • TABLE 150 ASIA PACIFIC: AI AS A SERVICE MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 151 ASIA PACIFIC: AI AS A SERVICE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 152 ASIA PACIFIC: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 153 ASIA PACIFIC: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 154 ASIA PACIFIC: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION)
    • TABLE 155 ASIA PACIFIC: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023-2028 (USD MILLION)
    • TABLE 156 ASIA PACIFIC: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 157 ASIA PACIFIC: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 158 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 159 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 160 ASIA PACIFIC: AI AS A SERVICE MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 161 ASIA PACIFIC: AI AS A SERVICE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 162 ASIA PACIFIC: AI AS A SERVICE MARKET, BY COUNTRY/REGION, 2017-2022 (USD MILLION)
    • TABLE 163 ASIA PACIFIC: AI AS A SERVICE MARKET, BY COUNTRY/REGION, 2023-2028 (USD MILLION)
    • 12.4.3 CHINA
      • 12.4.3.1 AI development in China focused on solving real-world problems and driving economic growth
    • TABLE 164 CHINA: AI AS A SERVICE MARKET INVESTMENT INITIATIVES
    • 12.4.4 JAPAN
      • 12.4.4.1 AI as a Service takes root in Japan as government and industry collaborate for future growth
    • 12.4.5 SOUTH KOREA
      • 12.4.5.1 Advanced IT infrastructure, skilled workforce, and government support in South Korea
    • 12.4.6 ASEAN
      • 12.4.6.1 AI technology to accelerate advancements of sustainable development goals in ASEAN countries
    • 12.4.7 INDIA
      • 12.4.7.1 Increase in adoption of AI-powered solutions by Indian companies to drive digital transformation
    • 12.4.8 AUSTRALIA & NEW ZEALAND
      • 12.4.8.1 Artificial intelligence crucial for digital transformation of Australia & New Zealand
    • 12.4.9 REST OF ASIA PACIFIC
  • 12.5 MIDDLE EAST & AFRICA
    • 12.5.1 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET DRIVERS
    • 12.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION
    • TABLE 165 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 166 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 167 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 168 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 169 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION)
    • TABLE 170 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023-2028 (USD MILLION)
    • TABLE 171 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 172 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023-2028 (USD MILLION)
    • TABLE 173 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 174 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 175 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 176 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 177 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 178 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 12.5.3 KINGDOM OF SAUDI ARABIA
      • 12.5.3.1 Rise in digitization and various cloud-based strategies in KSA
    • 12.5.4 UNITED ARAB EMIRATES
      • 12.5.4.1 UAE government support and diverse range of AI-focused companies and startups
    • 12.5.5 ISRAEL
      • 12.5.5.1 Expansion of startups in field of AI in Israel
    • 12.5.6 TURKEY
      • 12.5.6.1 AI-enabled services, availability of cloud computing, and rise of IoT in Turkey
    • 12.5.7 SOUTH AFRICA
      • 12.5.7.1 Legal system being shaped by AI and ML in South Africa
    • 12.5.8 REST OF THE MIDDLE EAST & AFRICA
  • 12.6 LATIN AMERICA
    • 12.6.1 LATIN AMERICA: AI AS A SERVICE MARKET DRIVERS
    • 12.6.2 LATIN AMERICA: IMPACT OF RECESSION
    • TABLE 179 LATIN AMERICA: AI AS A SERVICE MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 180 LATIN AMERICA: AI AS A SERVICE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 181 LATIN AMERICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 182 LATIN AMERICA: AI AS A SERVICE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 183 LATIN AMERICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2017-2022 (USD MILLION)
    • TABLE 184 LATIN AMERICA: AI AS A SERVICE MARKET, BY MACHINE LEARNING, 2023-2028 (USD MILLION)
    • TABLE 185 LATIN AMERICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2017-2022 (USD MILLION)
    • TABLE 186 LATIN AMERICA: AI AS A SERVICE MARKET, BY CLOUD TYPE, 2023-2028(USD MILLION)
    • TABLE 187 LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
    • TABLE 188 LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
    • TABLE 189 LATIN AMERICA: AI AS A SERVICE MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 190 LATIN AMERICA: AI AS A SERVICE MARKET, BY VERTICAL, 2023-2028(USD MILLION)
    • TABLE 191 LATIN AMERICA: AI AS A SERVICE MARKET, BY COUNTRY, 2017-2022 (USD MILLION)
    • TABLE 192 LATIN AMERICA: AI AS A SERVICE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 12.6.3 BRAZIL
      • 12.6.3.1 Initiatives by Brazil to promote development of AI skills and capabilities
    • 12.6.4 MEXICO
      • 12.6.4.1 Government initiatives in Mexico aimed at AI solutions
    • 12.6.5 REST OF LATIN AMERICA

13 COMPETITIVE LANDSCAPE

  • 13.1 OVERVIEW
  • 13.2 KEY PLAYER STRATEGIES
    • TABLE 193 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN AI AS A SERVICE MARKET
  • 13.3 REVENUE ANALYSIS
    • FIGURE 37 REVENUE ANALYSIS FOR KEY COMPANIES, 2018-2022
  • 13.4 MARKET SHARE ANALYSIS
    • FIGURE 38 AI AS A SERVICE MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2023
    • TABLE 194 AI AS A SERVICE MARKET: DEGREE OF COMPETITION
  • 13.5 KEY COMPANY EVALUATION QUADRANT
    • 13.5.1 STARS
    • 13.5.2 EMERGING LEADERS
    • 13.5.3 PERVASIVE PLAYERS
    • 13.5.4 PARTICIPANTS
    • FIGURE 39 KEY AI AS A SERVICE MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2023
  • 13.6 STARTUP/SME EVALUATION QUADRANT
    • 13.6.1 PROGRESSIVE COMPANIES
    • 13.6.2 RESPONSIVE COMPANIES
    • 13.6.3 DYNAMIC COMPANIES
    • 13.6.4 STARTING BLOCKS
    • FIGURE 40 STARTUP/SME AI AS A SERVICE PLAYERS, COMPANY EVALUATION MATRIX, 2022
  • 13.7 COMPETITIVE BENCHMARKING
    • TABLE 195 AI AS A SERVICE MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2022
    • TABLE 196 AI AS A SERVICE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
    • TABLE 197 ARTIFICIAL INTELLIGENCE MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • 13.8 AI AS A SERVICE PRODUCT LANDSCAPE
    • 13.8.1 COMPARATIVE ANALYSIS OF AI AS A SERVICE PRODUCTS
    • TABLE 198 COMPARATIVE ANALYSIS OF AI AS A SERVICE PRODUCTS
  • 13.9 COMPETITIVE SCENARIO
    • 13.9.1 PRODUCT LAUNCHES
    • TABLE 199 AI AS A SERVICE MARKET: PRODUCT LAUNCHES, SEPTEMBER 2020-MARCH 2023
    • 13.9.2 DEALS
    • TABLE 200 AI AS A SERVICE MARKET: DEALS, FEBRUARY 2020-JANUARY 2023

14 COMPANY PROFILES

  • (Business overview, Products/Solutions/Services offered, Recent developments & MnM View)**
  • 14.1 KEY PLAYERS
    • 14.1.1 IBM
    • TABLE 201 IBM: BUSINESS OVERVIEW
    • FIGURE 41 IBM: FINANCIAL OVERVIEW
    • TABLE 202 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 203 IBM: PRODUCT LAUNCHES
    • TABLE 204 IBM: DEALS
    • 14.1.2 GOOGLE
    • TABLE 205 GOOGLE: BUSINESS OVERVIEW
    • FIGURE 42 GOOGLE: FINANCIAL OVERVIEW
    • TABLE 206 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 207 GOOGLE: PRODUCT LAUNCHES
    • TABLE 208 GOOGLE: DEALS
    • 14.1.3 AWS
    • TABLE 209 AWS: BUSINESS OVERVIEW
    • FIGURE 43 AWS: FINANCIAL OVERVIEW
    • TABLE 210 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 211 AWS: PRODUCT LAUNCHES
    • TABLE 212 AWS: DEALS
    • 14.1.4 MICROSOFT
    • TABLE 213 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 44 MICROSOFT: FINANCIAL OVERVIEW
    • TABLE 214 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 215 MICROSOFT: PRODUCT LAUNCHES
    • TABLE 216 MICROSOFT: DEALS
    • 14.1.5 SALESFORCE
    • TABLE 217 SALESFORCE: BUSINESS OVERVIEW
    • FIGURE 45 SALESFORCE: FINANCIAL OVERVIEW
    • TABLE 218 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 219 SALESFORCE: PRODUCT LAUNCHES
    • TABLE 220 SALESFORCE: DEALS
    • 14.1.6 FICO
    • TABLE 221 FICO: BUSINESS OVERVIEW
    • FIGURE 46 FICO: FINANCIAL OVERVIEW
    • TABLE 222 FICO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 223 FICO: PRODUCT LAUNCHES
    • TABLE 224 FICO: DEALS
    • 14.1.7 SAS INSTITUTE
    • TABLE 225 SAS INSTITUTE: BUSINESS OVERVIEW
    • FIGURE 47 SAS INSTITUTE: FINANCIAL OVERVIEW
    • TABLE 226 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 227 SAS INSTITUTE: PRODUCT LAUNCHES
    • TABLE 228 SAS INSTITUTE: DEALS
    • 14.1.8 BAIDU
    • TABLE 229 BAIDU: BUSINESS OVERVIEW
    • FIGURE 48 BAIDU: FINANCIAL OVERVIEW
    • TABLE 230 BAIDU: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 231 BAIDU: PRODUCT LAUNCHES
    • TABLE 232 BAIDU: DEALS
    • 14.1.9 SAP
    • TABLE 233 SAP: BUSINESS OVERVIEW
    • FIGURE 49 SAP: FINANCIAL OVERVIEW
    • TABLE 234 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 235 SAP: PRODUCT LAUNCHES
    • TABLE 236 SAP: DEALS
    • 14.1.10 AMD XILINX
    • TABLE 237 AMD XILINX: BUSINESS OVERVIEW
    • FIGURE 50 AMD XILINX: FINANCIAL OVERVIEW
    • TABLE 238 AMD XILINX: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 239 AMD XILINX: PRODUCT LAUNCHES
    • TABLE 240 AMD XILINX: DEALS
    • 14.1.11 IRIS.AI
    • TABLE 241 IRIS.AI: BUSINESS OVERVIEW
    • TABLE 242 IRIS.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 243 IRIS.AI: PRODUCT LAUNCHES
    • TABLE 244 IRIS.AI: DEALS
    • 14.1.12 BIGML
    • TABLE 245 BIGML: BUSINESS OVERVIEW
    • TABLE 246 BIGML: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 247 BIGML: PRODUCT LAUNCHES
    • TABLE 248 BIGML: DEALS
    • 14.1.13 H20.AI
    • TABLE 249 H2O.AI: BUSINESS OVERVIEW
    • TABLE 250 H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 251 H2O.AI: PRODUCT LAUNCHES
    • TABLE 252 H2O.AI: DEALS
    • 14.1.14 ABSOLUTDATA
    • TABLE 253 ABSOLUTDATA: BUSINESS OVERVIEW
    • TABLE 254 ABSOLUTDATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 255 ABSOLUTDATA: PRODUCT LAUNCHES
    • TABLE 256 ABSOLUTDATA: DEALS
    • 14.1.15 VITAL.AI
    • TABLE 257 VITAL.AI: BUSINESS OVERVIEW
    • TABLE 258 VITAL.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 14.1.16 ORACLE
    • TABLE 259 ORACLE: BUSINESS OVERVIEW
    • FIGURE 51 ORACLE: FINANCIAL OVERVIEW
    • TABLE 260 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 261 ORACLE: PRODUCT LAUNCHES
    • TABLE 262 ORACLE: DEALS
    • 14.1.17 ALIBABA CLOUD
    • TABLE 263 ALIBABA CLOUD: BUSINESS OVERVIEW
    • TABLE 264 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 265 ALIBABA CLOUD: PRODUCT LAUNCHES
    • TABLE 266 ALIBABA CLOUD: DEALS
    • 14.1.18 TENCENT
    • TABLE 267 TENCENT: BUSINESS OVERVIEW
    • FIGURE 52 TENCENT: FINANCIAL OVERVIEW
    • TABLE 268 TENCENT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 269 TENCENT: PRODUCT LAUNCHES
    • TABLE 270 TENCENT: DEALS
  • *Details on Business overview, Products/Solutions/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
  • 14.2 OTHER KEY PLAYERS
    • 14.2.1 FUZZY.AI
    • 14.2.2 RAINBIRD TECHNOLOGIES
    • 14.2.3 CRAFT.AI
    • 14.2.4 SIFTSCIENCE
    • 14.2.5 DATABRICKS
    • 14.2.6 TECNOTREE
    • 14.2.7 CENTURY SOFT
    • 14.2.8 YOTTAMINE ANALYTICS
    • 14.2.9 DATAROBOT
    • 14.2.10 MEYA.AI
    • 14.2.11 DATAIKU
    • 14.2.12 CLOUDERA

15 ADJACENT AND RELATED MARKETS

  • 15.1 INTRODUCTION
  • 15.2 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2027
    • 15.2.1 MARKET DEFINITION
    • 15.2.2 MARKET OVERVIEW
    • 15.2.3 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING
    • TABLE 271 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016-2021 (USD BILLION)
    • TABLE 272 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022-2027 (USD BILLION)
    • 15.2.4 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
    • TABLE 273 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016-2021 (USD BILLION)
    • TABLE 274 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2027 (USD BILLION)
    • 15.2.5 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE
    • TABLE 275 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD BILLION)
    • TABLE 276 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD BILLION)
    • 15.2.6 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE
    • TABLE 277 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016-2021 (USD BILLION)
    • TABLE 278 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022-2027 (USD BILLION)
    • 15.2.7 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION
    • TABLE 279 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016-2021 (USD BILLION)
    • TABLE 280 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022-2027 (USD BILLION)
    • 15.2.8 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL
    • TABLE 281 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016-2021 (USD BILLION)
    • TABLE 282 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022-2027 (USD BILLION)
    • 15.2.9 ARTIFICIAL INTELLIGENCE MARKET, BY REGION
    • TABLE 283 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016-2021 (USD BILLION)
    • TABLE 284 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022-2027 (USD BILLION)
  • 15.3 PLATFORM AS A SERVICE MARKET - GLOBAL FORECAST TO 2026
    • 15.3.1 MARKET DEFINITION
    • 15.3.2 MARKET OVERVIEW
    • 15.3.3 PLATFORM AS A SERVICE MARKET, BY TYPE
    • TABLE 285 PLATFORM AS A SERVICE MARKET, BY TYPE, 2016-2019 (USD MILLION)
    • TABLE 286 PLATFORM AS A SERVICE MARKET, BY TYPE, 2020-2026 (USD MILLION)
    • 15.3.4 PLATFORM AS A SERVICE MARKET, BY DEPLOYMENT MODE
    • TABLE 287 PLATFORM AS A SERVICE MARKET SIZE, BY DEPLOYMENT, 2016-2019 (USD MILLION)
    • TABLE 288 PLATFORM AS A SERVICE MARKET SIZE, BY DEPLOYMENT, 2020-2026 (USD MILLION)
    • 15.3.5 PLATFORM AS A SERVICE MARKET, BY ORGANIZATION SIZE
    • TABLE 289 PLATFORM AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2016-2019 (USD MILLION)
    • TABLE 290 PLATFORM AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2020-2026 (USD MILLION)
    • 15.3.6 PLATFORM AS A SERVICE MARKET, BY VERTICAL
    • TABLE 291 PLATFORM AS A SERVICE MARKET, BY VERTICAL, 2016-2019 (USD MILLION)
    • TABLE 292 PLATFORM AS A SERVICE MARKET, BY VERTICAL, 2020-2026 (USD MILLION)
    • 15.3.7 PLATFORM AS A SERVICE MARKET, BY REGION
    • TABLE 293 PLATFORM AS A SERVICE MARKET, BY REGION, 2016-2019 (USD MILLION)
    • TABLE 294 PLATFORM AS A SERVICE MARKET, BY REGION, 2020-2026 (USD MILLION)

16 APPENDIX

  • 16.1 DISCUSSION GUIDE
  • 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 16.3 CUSTOMIZATION OPTIONS
  • 16.4 RELATED REPORTS
  • 16.5 AUTHOR DETAILS