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1287803

コンポジットAIの世界市場：提供別 (ソフトウェア、ハードウェア、サービス)・技術別 (データ処理、パターン認識)・用途別 (製品設計・開発、顧客サービス)・業種別・地域別の将来予測 (2028年まで)

Composite AI Market by Offering (Software, Hardware, Services), Technique (Data Processing, Pattern Recognition), Application (Product Design & Development, Customer Service), Vertical and Region - Global Forecast to 2028
出版日: | 発行: MarketsandMarkets | ページ情報: 英文 281 Pages | 納期: 即納可能 即納可能とは

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コンポジットAIの世界市場：提供別 (ソフトウェア、ハードウェア、サービス)・技術別 (データ処理、パターン認識)・用途別 (製品設計・開発、顧客サービス)・業種別・地域別の将来予測 (2028年まで)
出版日: 2023年05月31日
発行: MarketsandMarkets
ページ情報: 英文 281 Pages
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 目次
概要

世界のコンポジットAIの市場規模は、2023年の9億米ドルから、2028年には44億米ドルに達し、予測期間中に36.5%のCAGRで成長すると予測されています。

デジタル機器・センサー・IoTデバイスの普及に伴い、さまざまな産業で豊富なデータが生成されるようになりました。コンポジットAIは、このデータを活用して洞察を深め、予測を行い、パーソナライズされた体験を提供します。データの利用可能性が高まっていることが、コンポジットAIソリューションの開発と採用を後押ししています。

"ソフトウェアのセグメントが予測期間中、最大の市場規模を維持する"

ソフトウェアのセグメントを細分すると、AI開発プラットフォーム・ツール、機械学習 (ML) フレームワーク、AIミドルウェア、その他のソフトウェア (コンピュータビジョンソフトウェア、データ管理ツール、モニタリングソフトウェア、セキュリティおよびガバナンスツール) に分けられます。コンポジットAIソフトウェアとは、機械学習、自然言語処理、コンピュータビジョン、ロボット工学など複数のAI技術を統合し、より高度なAIアプリケーションを実現するためのソフトウェアシステムやツールのことを指します。コンポジットAIで使用される主要なソフトウェアツールの1つが、機械学習フレームワークです。これらのフレームワークは、機械学習モデルの開発とトレーニングのためのツールやライブラリを提供し、AIアルゴリズムの作成と最適化を容易にしています。

"データマイニング・機械学習のセグメントは、予測期間中に高いCAGRで成長する"

世界のコンポジットAI市場を技術別に見ると、データマイニング・機械学習技術が今後数年間の牽引役となります。これらの手法は、大規模かつ複雑なデータセットから貴重な洞察を抽出し、それをAIモデルの訓練に使用することで、インテリジェントな意思決定を促進します。

"業種別では、BFSIセグメントが予測期間中に最大の市場規模を維持する"

コンポジットAIソリューションは、詐欺の検出と防止、リスク評価と管理、顧客サービス、信用スコアリング、コンプライアンスと規制の報告といった活用領域の幅広さのため、BFSI業界全体で採用されています。BFSI業界におけるコンポジットAIソリューションの採用は、業務効率の向上、顧客体験の向上、リスク低減、規制要件への準拠など、数多くのメリットをもたらします。

"アジア太平洋地域は、予測期間中に高いCAGRで成長する"

世界の主要5地域 (北米、欧州、アジア太平洋、中東・アフリカ、ラテンアメリカ) におけるコンポジットAIソリューションの成長は、技術進歩、業界固有の需要、政府の取り組み、人材の確保、ビジネスや社会を変革するAIの可能性に対する認識の高まりなどの要因によってもたらされます。アジア太平洋では、複合型AIソリューションの採用が急増しています。中国・日本・韓国・インドなどの国々は、政府の強力な支援と投資により、AIの研究開発をリードしています。製造業・eコマース・医療・BFSIなどの主要な業界では、競争力を高め、イノベーションを促進し、高度なAI駆動型ソリューションに対する需要の高まりに対応するため、複合型AIを積極的に導入しています。アジア太平洋は、世界で最も急速に経済が成長している地域の一つであり、この地域では急速な技術進歩が進んでいます。AI、ビッグデータ分析、クラウドコンピューティングなどの先進技術の導入が進み、複合型AIソリューションの需要を促進しています。

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 市場概要と業界動向

  • イントロダクション
  • コンポジットAIの歴史
  • コンポジットAI：アーキテクチャ
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • ケーススタディ分析
  • サプライチェーン分析
  • 特許分析
  • 価格分析
  • ポーターのファイブフォース分析
  • 主要な会議とイベント (2023年～2024年)
  • コンポジットAI市場のバイヤー/顧客に影響を与える動向/混乱
  • 規制状況
  • 主要な利害関係者と購入基準
  • コンポジットAI市場の技術ロードマップ (2030年まで)
  • 技術分析
  • エコシステム分析
  • コンポジットAI開発のビジネスモデル

第6章 コンポジットAI市場：提供別

  • イントロダクション
  • ハードウェア
    • プロセッサ
    • メモリユニット
    • ネットワーク
    • その他のハードウェア
  • ソフトウェア
    • 機械学習フレームワーク
    • AI開発プラットフォーム・ツール
    • AIミドルウェア
    • その他のソフトウェア
  • サービス
    • トレーニング・コンサルティング
    • システムインテグレーション・実装
    • サポート・整備

第7章 コンポジットAI市場：技術別

  • イントロダクション
  • 条件付きモニタリング
  • パターン認識
  • データ処理
  • プロアクティブなメカニズム
  • データマイニングと機械学習
  • その他の技術

第8章 コンポジットAI市場：用途別

  • イントロダクション
  • 製品設計・開発
  • 品質管理
  • 予知保全
  • セキュリティ・監視
  • 顧客サービス
  • その他の用途

第9章 コンポジットAI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)
  • 小売業・eコマース
  • 製造業
  • エネルギー・ユーティリティ
  • 輸送・物流
  • 医療・ライフサイエンス
  • メディア・エンターテインメント
  • 政府・防衛
  • 通信
  • その他の業種

第10章 コンポジットAI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
    • イタリア
    • スペイン
    • その他の欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • ニュージーランド
    • 韓国
    • ASEAN諸国
    • その他のアジア太平洋
  • 中東・アフリカ
    • アラブ首長国連邦
    • サウジアラビア
    • 南アフリカ
    • イスラエル
    • その他の中東・アフリカ
  • ラテンアメリカ
    • ブラジル
    • メキシコ
    • アルゼンチン
    • その他のラテンアメリカ

第11章 競合情勢

  • 概要
  • 主要企業が採用した戦略
  • 収益分析
  • 市場シェア分析
  • 企業評価クアドラント
  • スタートアップ/中小企業の評価クアドラント
  • コンポジットAI製品の情勢
  • 主要なコンポジットAIベンダーの評価と財務指標
  • 競合シナリオと動向

第12章 企業プロファイル

  • イントロダクション
  • 主要企業
    • IBM
    • SAS INSTITUTE
    • MICROSOFT
    • GOOGLE
    • AWS
    • SALESFORCE
    • BLACKSWAN TECHNOLOGIES
    • ORACLE
    • OPENTEXT
    • SAP
    • HPE
    • PEGA
  • その他の主な企業
    • NVIDIA
    • INTEL
    • UIPATH
    • ZEST AI
    • DYNAMIC YIELD
    • DATAROBOT
    • H20.AI
    • SQUIRRO
    • COGNITIVESCALE
    • SPARKCOGNITION
    • DIWO
  • スタートアップ/中小企業
    • ACTICO
    • KYNDI
    • NAUTO
    • NETRA
    • EXPONENTIAL AI

第13章 隣接・関連市場

  • イントロダクション
  • 自然言語処理 (NLP) 市場：世界予測 (2027年まで)
  • 人工知能 (AI) 市場：世界予測 (2027年まで)

第14章 付録

目次
Product Code: TC 8662

The composite AI market is estimated to grow from USD 0.9 billion in 2023 to USD 4.4 billion by 2028, at a CAGR of 36.5% during the forecast period. With the proliferation of digital devices, sensors, and IoT devices, a wealth of data is generated across various industries. Composite AI leverages this data to gain insights, make predictions, and deliver personalized experiences. The growing availability of data fuels the development and adoption of Composite AI solutions.

The software segment is expected to hold the largest market size during the forecast period

The global composite AI market is segmented based on offering hardware, software, and services. Based on software segment is divided into AI development platforms and tools, machine learning (ML) frameworks, AI Middleware, and other software (computer vision software, data management tools, monitoring software, and security and governance tools). Composite AI software refers to the software systems and tools that enable the integration of multiple AI technologies, such as machine learning, natural language processing, computer vision, and robotics, to create more advanced AI applications. One of the key software tools used in composite AI is machine learning frameworks. These frameworks provide tools and libraries for developing and training machine learning models, making creating and optimizing AI algorithms easier.

Data mining & machine learning segment to grow at a higher CAGR during the forecast period

The global composite AI market is segmented based on technique into conditioned monitoring, pattern recognition, data processing, proactive mechanism, data mining & machine learning, and other methods (AutoML and Model Building, Model Stacking and Ensemble, and Transfer Learning). Data mining and machine learning techniques to gain traction in coming years. These techniques extract valuable insights from large and complex datasets, which are then used to train AI models and drive intelligent decision-making.

Among verticals, the BFSI segment holds the largest market size during the forecast period

Composite AI solutions are being adopted across the BFSI sector for numerous applications such as fraud detection and prevention, risk assessment and management, customer service, credit scoring, and compliance and regulatory reporting. The adoption of composite AI solutions in the BFSI sector offers numerous benefits, including improved operational efficiency, enhanced customer experience, risk reduction, and compliance with regulatory requirements.

Asia Pacific to grow at a higher CAGR during the forecast period

The growth of composite AI solutions across the five major regions, namely North America, Europe, Asia Pacific, Middle East and Africa, and Latin America is driven by factors such as technological advancements, industry-specific demands, government initiatives, availability of talent, and the increasing recognition of AI's potential to transform businesses and societies. Asia Pacific region is experiencing a rapid growth rate in adopting composite AI solutions. Countries like China, Japan, South Korea, and India are leading in AI R&D, with strong government support and investments. Key industry verticals such as manufacturing, eCommerce, healthcare, and BFSI aggressively implementing composite AI to gain a competitive edge, drive innovation, and cater to the growing demand for advanced AI-driven solutions. Asia Pacific is home to some of the world's fastest-growing economies, and the region is experiencing rapid technological advancements. The increasing adoption of advanced technologies, such as AI, big data analytics, and cloud computing, has fueled the demand for composite AI 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 composite AI 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: North America: 45%, Europe: 20%, Asia Pacific: 30%, Europe: 20%, RoW: 5%

The report includes studying key players offering composite AI solutions and services. It profiles major vendors in the global composite AI market. The major vendors in the global composite AI market include IBM (US), SAS Institute (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), BlackSwan Technologies (Israel), Oracle (US), OpenText (Canada), SAP (Germany), HPE (US), Pega (US), NVIDIA (US), Intel (US), UiPath (US), Zest AI (US), Dynamic Yield (US), DataRobot (US), H2O.ai (US), Squirro (Switzerland), CognitiveScale (US), SparkCognition (US), Diwo (US), ACTICO (Germany), Kyndi (US), Nauto (US), Netra (US), and Exponential AI (US).

Research Coverage

The market study covers the composite AI market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as offering, technique, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, 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 with information on the closest approximations of the revenue numbers for the overall market for composite AIs and their subsegments. It would help stakeholders understand the competitive landscape, better position their business, and plan suitable go-to-market strategies. It also helps stakeholders understand the market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Growing intricacy of AI applications for better performance and accuracy, Increasing demand for more customized and flexible solutions to improve efficiency and productivity, Advancements in hardware components and infrastructure for better scalability, Rising usage of composite AI for industry-specific applications), restraints (Concerns related to data privacy and security, Shortage of skilled and talented workforce), opportunities (Integration with edge computing and IoT for real-time decision making, Rising demand for explainable AI and trustworthiness across healthcare and BFSI sector), and challenges (Data availability and quality, High infrastructure costs with lower ROI) influencing the growth of the composite AI market.
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the composite AI market
  • Market Development: Comprehensive information about lucrative markets - the report analyses composite AI market across varied regions
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in composite AI market strategies; the report also helps stakeholders understand the pulse of the composite AI 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), SAS Institute (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), BlackSwan Technologies (Israel), Oracle (US), OpenText (Canada), SAP (Germany), HPE (US), Pega (US) among others in the composite AI market.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS & EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 REGIONS COVERED
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 COMPOSITE AI MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
    • TABLE 1 PRIMARY INTERVIEWS
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
    • FIGURE 2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • FIGURE 3 COMPOSITE AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
    • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE FROM SOLUTIONS/SERVICES
    • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY- APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES
    • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES
    • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF COMPOSITE AI THROUGH OVERALL COMPOSITE AI SPENDING
  • 2.4 MARKET FORECAST
    • TABLE 2 FACTOR ANALYSIS
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 LIMITATIONS
  • 2.7 IMPLICATIONS OF RECESSION ON COMPOSITE AI MARKET
    • TABLE 3 IMPACT OF RECESSION ON GLOBAL COMPOSITE AI MARKET

3 EXECUTIVE SUMMARY

    • TABLE 4 GLOBAL COMPOSITE AI MARKET SIZE AND GROWTH RATE, 2019-2022 (USD MILLION, Y-O-Y %)
    • TABLE 5 GLOBAL COMPOSITE AI MARKET SIZE AND GROWTH RATE, 2023-2028 (USD MILLION, Y-O-Y %)
    • FIGURE 8 SOFTWARE SEGMENT TO DOMINATE MARKET IN 2023
    • FIGURE 9 AI DEVELOPMENT PLATFORMS AND TOOLS TO HOLD LARGEST MARKET SHARE IN 2023
    • FIGURE 10 PROCESSORS SEGMENT TO DOMINATE MARKET IN 2023
    • FIGURE 11 SYSTEM INTEGRATION AND IMPLEMENTATION SEGMENT TO LEAD MARKET IN 2023
    • FIGURE 12 DATA PROCESSING SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023
    • FIGURE 13 PRODUCT DESIGN & DEVELOPMENT SEGMENT TO LEAD MARKET IN 2023
    • FIGURE 14 HEALTHCARE AND LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR
    • FIGURE 15 NORTH AMERICA TO HOLD LARGEST SHARE, WHILE ASIA PACIFIC TO GROW AT HIGHEST CAGR

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR COMPANIES IN COMPOSITE AI MARKET
    • FIGURE 16 GROWING INTRICACY OF AI APPLICATIONS FOR BETTER PERFORMANCE AND ACCURACY TO DRIVE MARKET GROWTH
  • 4.2 OVERVIEW OF RECESSION IN GLOBAL COMPOSITE AI MARKET
    • FIGURE 17 COMPOSITE AI MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
  • 4.3 COMPOSITE AI MARKET: TOP THREE APPLICATIONS
    • FIGURE 18 CUSTOMER SERVICE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • 4.4 NORTH AMERICA: COMPOSITE AI MARKET, BY OFFERING AND TOP THREE VERTICALS
    • FIGURE 19 SOFTWARE AND BFSI SEGMENTS TO HOLD LARGEST SHARES IN NORTH AMERICA IN 2023
  • 4.5 COMPOSITE AI MARKET, BY REGION
    • FIGURE 20 NORTH AMERICA TO HOLD LARGEST SHARE IN 2023

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 BRIEF HISTORY OF COMPOSITE AI
    • FIGURE 21 EVOLUTION OF COMPOSITE AI
  • 5.3 COMPOSITE AI: ARCHITECTURE
    • FIGURE 22 COMPOSITE AI MARKET ARCHITECTURE
  • 5.4 MARKET DYNAMICS
    • FIGURE 23 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: COMPOSITE AI MARKET
    • 5.4.1 DRIVERS
      • 5.4.1.1 Growing intricacy of AI applications for better performance and accuracy
      • 5.4.1.2 Increasing demand for more customized and flexible solutions to improve efficiency and productivity
      • 5.4.1.3 Advancements in hardware components and infrastructure for better scalability
      • 5.4.1.4 Rising usage of composite AI for industry-specific applications
    • 5.4.2 RESTRAINTS
      • 5.4.2.1 Concerns related to data privacy and security
      • 5.4.2.2 Shortage of skilled and talented workforce
    • 5.4.3 OPPORTUNITIES
      • 5.4.3.1 Integration with edge computing and IoT for real-time decision-making
      • 5.4.3.2 Rising demand for explainable AI and trustworthiness across healthcare and BFSI sectors
    • 5.4.4 CHALLENGES
      • 5.4.4.1 Data availability and quality
      • 5.4.4.2 High infrastructure costs with lower ROI
  • 5.5 CASE STUDY ANALYSIS
    • 5.5.1 CASE STUDY 1: CREATION OF HOLISTIC VIEW OF CLIENTS AND ACTIVITIES OF TIER-1 BANK USING DATA FABRIC CONCEPT
    • 5.5.2 CASE STUDY 2: INTUIT USED AMAZON SAGEMAKER TO MANAGE MACHINE LEARNING AT SCALE
    • 5.5.3 CASE STUDY 3: SAS ANALYTICS SOLUTIONS HELPED USG CORPORATION TO IMPROVE ITS MANUFACTURING PROCESS
    • 5.5.4 CASE STUDY 4: ORLANDO MAGIC USED MOBILE APP DATA AND MACHINE LEARNING TO PERSONALIZE MARKETING CAMPAIGNS
    • 5.5.5 CASE STUDY 5: AMSTERDAM UMC USED ANALYTICS AND AI TO INCREASE SPEED AND ACCURACY OF TUMOR EVALUATIONS
    • 5.5.6 CASE STUDY 6: IN SPECIAL OLYMPICS, ABU DHABI USED SAS ANALYTICS AND AI SOLUTIONS TO KEEP ATHLETES SAFE
    • 5.5.7 CASE STUDY 7: HPE HELPED NEW WORK TO ADDRESS COMPLEX DATA PRIVACY REQUIREMENTS AND IMPROVE OPERATIONAL EFFICIENCY
  • 5.6 SUPPLY CHAIN ANALYSIS
    • FIGURE 24 COMPOSITE AI MARKET: SUPPLY CHAIN ANALYSIS
  • 5.7 PATENT ANALYSIS
    • 5.7.1 METHODOLOGY
    • 5.7.2 DOCUMENT TYPE
    • TABLE 6 PATENTS FILED, 2013-2023
    • 5.7.3 INNOVATION AND PATENT APPLICATIONS
    • FIGURE 25 TOTAL NUMBER OF PATENTS GRANTED, 2013-2023
      • 5.7.3.1 Top applicants
    • FIGURE 26 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS, 2013-2023
    • TABLE 7 TOP 20 PATENT OWNERS IN COMPOSITE AI MARKET, 2013-2023
    • TABLE 8 LIST OF PATENTS IN COMPOSITE AI MARKET, 2023
    • FIGURE 27 REGIONAL ANALYSIS OF PATENTS GRANTED IN COMPOSITE AI MARKET, 2023
  • 5.8 PRICING ANALYSIS
    • TABLE 9 COMPOSITE AI MARKET: PRICING MODEL ANALYSIS, 2023
  • 5.9 PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 28 PORTER'S FIVE FORCES ANALYSIS
    • 5.9.1 THREAT OF NEW ENTRANTS
    • 5.9.2 THREAT OF SUBSTITUTES
    • 5.9.3 BARGAINING POWER OF SUPPLIERS
    • 5.9.4 BARGAINING POWER OF BUYERS
    • 5.9.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.10 KEY CONFERENCES & EVENTS, 2023-2024
    • TABLE 10 DETAILED LIST OF CONFERENCES & EVENTS, 2023-2024
  • 5.11 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN COMPOSITE AI MARKET
    • FIGURE 29 COMPOSITE AI MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
  • 5.12 REGULATORY LANDSCAPE
    • 5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 11 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 12 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 13 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 14 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 15 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • TABLE 16 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS (%)
    • 5.13.2 BUYING CRITERIA
    • FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
    • TABLE 17 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
  • 5.14 TECHNOLOGY ROADMAP OF COMPOSITE AI MARKET UNTIL 2030
    • FIGURE 31 COMPOSITE AI ROADMAP UNTIL 2030
  • 5.15 TECHNOLOGY ANALYSIS
    • 5.15.1 RELATED TECHNOLOGIES
      • 5.15.1.1 Supervised learning
      • 5.15.1.2 Unsupervised learning
      • 5.15.1.3 Natural language processing
      • 5.15.1.4 Deep learning
      • 5.15.1.5 AI governance (ethical, explainable, and responsible AI)
      • 5.15.1.6 Knowledge graphs
    • 5.15.2 ALLIED TECHNOLOGIES
      • 5.15.2.1 Cloud computing
      • 5.15.2.2 Computer vision
      • 5.15.2.3 Federated learning
      • 5.15.2.4 Digital twin
  • 5.16 ECOSYSTEM ANALYSIS
    • FIGURE 32 ECOSYSTEM ANALYSIS
    • 5.16.1 COMPOSITE AI FRAMEWORK/LIBRARY PROVIDERS
    • 5.16.2 COMPOSITE AI PLATFORM PROVIDERS
    • 5.16.3 COMPOSITE AI SOFTWARE TOOL PROVIDERS
    • 5.16.4 COMPOSITE AI HARDWARE PROVIDERS
    • 5.16.5 COMPOSITE AI SERVICE PROVIDERS
    • 5.16.6 REGULATORY BODIES
  • 5.17 BUSINESS MODELS FOR DEVELOPMENT OF COMPOSITE AI

6 COMPOSITE AI MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 OFFERING: COMPOSITE AI MARKET DRIVERS
    • FIGURE 33 HARDWARE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 18 COMPOSITE AI MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 19 COMPOSITE AI MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 6.2 HARDWARE
    • FIGURE 34 NETWORKS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 20 COMPOSITE AI MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 21 COMPOSITE AI MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • 6.2.1 PROCESSORS
      • 6.2.1.1 Cost-effectiveness, flexibility, and scalability of composite AI systems to drive demand for processors
    • TABLE 22 PROCESSORS: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 23 PROCESSORS: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.2.2 MEMORY UNITS
      • 6.2.2.1 Memory units to enable cloud-based services and provide high-capacity storage and quick data access
    • TABLE 24 MEMORY UNITS: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 25 MEMORY UNITS: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.2.3 NETWORKS
      • 6.2.3.1 Networks to ensure efficient communication and collaboration between different AI components
    • TABLE 26 NETWORKS: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 27 NETWORKS: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.2.4 OTHER HARDWARE
    • TABLE 28 OTHER HARDWARE: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 29 OTHER HARDWARE: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.3 SOFTWARE
    • FIGURE 35 AI MIDDLEWARE TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 30 COMPOSITE AI MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 31 COMPOSITE AI MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • 6.3.1 MACHINE LEARNING FRAMEWORKS
      • 6.3.1.1 Machine learning frameworks to provide cost-effective, flexible, and scalable composite AI systems
    • TABLE 32 MACHINE LEARNING FRAMEWORKS: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 33 MACHINE LEARNING FRAMEWORKS: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.2 AI DEVELOPMENT PLATFORMS AND TOOLS
      • 6.3.2.1 AI development platforms and tools to empower organizations to leverage capabilities of various AI technologies
    • TABLE 34 AI DEVELOPMENT PLATFORMS AND TOOLS: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 35 AI DEVELOPMENT PLATFORMS AND TOOLS: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.3 AI MIDDLEWARE
      • 6.3.3.1 Increasing need to facilitate integration of AI components, tools, and frameworks to drive market growth
    • TABLE 36 AI MIDDLEWARE: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 37 AI MIDDLEWARE: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.4 OTHER SOFTWARE
    • TABLE 38 OTHER SOFTWARE: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 39 OTHER SOFTWARE: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.4 SERVICES
    • FIGURE 36 TRAINING AND CONSULTING SERVICES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 40 SERVICES: COMPOSITE AI MARKET, BY TYPE, 2019-2022 (USD MILLION)
    • TABLE 41 SERVICES: COMPOSITE AI MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • 6.4.1 TRAINING AND CONSULTING
      • 6.4.1.1 Training and consulting services to play vital role in managing operations and technology updates
    • TABLE 42 TRAINING AND CONSULTING: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 43 TRAINING AND CONSULTING: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.4.2 SYSTEM INTEGRATION AND IMPLEMENTATION
      • 6.4.2.1 System integration and implementation services to gain traction to ensure effective system communication
    • TABLE 44 SYSTEM INTEGRATION AND IMPLEMENTATION: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 45 SYSTEM INTEGRATION AND IMPLEMENTATION: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.4.3 SUPPORT AND MAINTENANCE
      • 6.4.3.1 Demand for support and maintenance services to increase with rising composite AI deployment
    • TABLE 46 SUPPORT AND MAINTENANCE: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 47 SUPPORT AND MAINTENANCE: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)

7 COMPOSITE AI MARKET, BY TECHNIQUE

  • 7.1 INTRODUCTION
    • 7.1.1 TECHNIQUE: COMPOSITE AI MARKET DRIVERS
    • FIGURE 37 DATA MINING & MACHINE LEARNING SEGMENT TO REGISTER HIGHEST CAGR DURING THE FORECAST PERIOD
    • TABLE 48 COMPOSITE AI MARKET, BY TECHNIQUE, 2019-2022 (USD MILLION)
    • TABLE 49 COMPOSITE AI MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • 7.2 CONDITIONED MONITORING
    • 7.2.1 CONDITIONED MONITORING TO HELP COMPANIES REDUCE COSTS ASSOCIATED WITH MAINTENANCE
    • TABLE 50 CONDITIONED MONITORING: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 51 CONDITIONED MONITORING: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.3 PATTERN RECOGNITION
    • 7.3.1 PATTERN RECOGNITION TO ALLOW COMPANIES TO QUICKLY AND ACCURATELY ANALYZE LARGE AMOUNTS OF DATA
    • TABLE 52 PATTERN RECOGNITION: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 53 PATTERN RECOGNITION: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.4 DATA PROCESSING
    • 7.4.1 DATA PROCESSING USED TO ANALYZE CUSTOMER DATA AND IDENTIFY PATTERNS IN BEHAVIOR AND PREFERENCES
    • TABLE 54 DATA PROCESSING: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 55 DATA PROCESSING: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.5 PROACTIVE MECHANISM
    • 7.5.1 PROACTIVE MECHANISM TO ENCOURAGE ADOPTION OF ADVANCED TECHNOLOGY FOR PREDICTING AND PREVENTING PROBLEMS
    • TABLE 56 PROACTIVE MECHANISM: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 57 PROACTIVE MECHANISM: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.6 DATA MINING & MACHINE LEARNING
    • 7.6.1 DATA MINING & MACHINE LEARNING TO ENABLE MACHINES TO ANALYZE DATA AND MAKE DECISIONS
    • TABLE 58 DATA MINING & MACHINE LEARNING: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 59 DATA MINING & MACHINE LEARNING: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.7 OTHER TECHNIQUES
    • TABLE 60 OTHER TECHNIQUES: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 61 OTHER TECHNIQUES: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)

8 COMPOSITE AI MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
    • 8.1.1 APPLICATION: COMPOSITE AI MARKET DRIVERS
    • FIGURE 38 CUSTOMER SERVICE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 62 COMPOSITE AI MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 63 COMPOSITE AI MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • 8.2 PRODUCT DESIGN & DEVELOPMENT
    • 8.2.1 STREAMLINING DESIGN & TESTING TO ENABLE COMPANIES TO LAUNCH PRODUCTS FASTER
    • TABLE 64 PRODUCT DESIGN & DEVELOPMENT: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 65 PRODUCT DESIGN & DEVELOPMENT: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.3 QUALITY CONTROL
    • 8.3.1 QUALITY CONTROL TO MINIMIZE RISKS ASSOCIATED WITH USE OF AI
    • TABLE 66 QUALITY CONTROL: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 67 QUALITY CONTROL: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.4 PREDICTIVE MAINTENANCE
    • 8.4.1 RISING NEED TO ENABLE PROACTIVE MAINTENANCE STRATEGIES AND DRIVE OPERATIONAL EFFICIENCY TO FUEL MARKET GROWTH
    • TABLE 68 PREDICTIVE MAINTENANCE: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 69 PREDICTIVE MAINTENANCE: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.5 SECURITY & SURVEILLANCE
    • 8.5.1 GROWING DEMAND FOR ADVANCED COMPOSITE AI SOLUTIONS FOR ENHANCED SECURITY & SURVEILLANCE TO BOOST MARKET GROWTH
    • TABLE 70 SECURITY & SURVEILLANCE: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 71 SECURITY & SURVEILLANCE: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.6 CUSTOMER SERVICE
    • 8.6.1 CUSTOMER SERVICE TO ENSURE CUSTOMER SATISFACTION, INCREASE OPERATIONAL EFFICIENCY, AND OPTIMIZE EXPERIENCE
    • TABLE 72 CUSTOMER SERVICE: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 73 CUSTOMER SERVICE: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.7 OTHER APPLICATIONS
    • TABLE 74 OTHER APPLICATIONS: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 75 OTHER APPLICATIONS: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)

9 COMPOSITE AI MARKET, BY VERTICAL

  • 9.1 INTRODUCTION
    • 9.1.1 VERTICAL: COMPOSITE AI MARKET DRIVERS
    • FIGURE 39 HEALTHCARE AND LIFE SCIENCES SEGMENT TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
    • 9.1.2 MAJOR USE CASES, BY VERTICAL
    • TABLE 76 COMPOSITE AI MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 77 COMPOSITE AI MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
  • 9.2 BFSI
    • 9.2.1 TEXT COMPOSITE AI TO HANDLE MULTIPLE CUSTOMER INTERACTIONS AND REDUCE WAIT TIMES IN BFSI SECTOR
    • TABLE 78 BFSI: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 79 BFSI: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.3 RETAIL AND ECOMMERCE
    • 9.3.1 GROWTH OF ECOMMERCE TO CREATE ENORMOUS AMOUNT OF DATA THAT CAN BE ANALYZED USING COMPOSITE AI
    • TABLE 80 RETAIL AND ECOMMERCE: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 81 RETAIL AND ECOMMERCE: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.4 MANUFACTURING
    • 9.4.1 COMPOSITE AI TO BE USED TO CREATE MORE ADVANCED AUTOMATION SYSTEMS IN MANUFACTURING VERTICAL
    • TABLE 82 MANUFACTURING: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 83 MANUFACTURING: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.5 ENERGY AND UTILITIES
    • 9.5.1 COMPOSITE AI TO HELP THIS VERTICAL OPTIMIZE ITS OPERATIONS AND REDUCE COSTS
    • TABLE 84 ENERGY AND UTILITIES: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 85 ENERGY AND UTILITIES: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.6 TRANSPORTATION AND LOGISTICS
    • 9.6.1 COMPOSITE AI TO HELP PREVENT ACCIDENTS, THEFT, AND OTHER SECURITY BREACHES
    • TABLE 86 TRANSPORTATION AND LOGISTICS: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 87 TRANSPORTATION AND LOGISTICS: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.7 HEALTHCARE AND LIFE SCIENCES
    • 9.7.1 COMPOSITE AI TO DRIVE NEED FOR MORE PRECISE AND TARGETED TREATMENTS
    • TABLE 88 HEALTHCARE AND LIFE SCIENCES: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 89 HEALTHCARE AND LIFE SCIENCES: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.8 MEDIA AND ENTERTAINMENT
    • 9.8.1 INCREASING DEMAND FOR PERSONALIZED CONTENT TO BOOST MARKET
    • TABLE 90 MEDIA AND ENTERTAINMENT: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 91 MEDIA AND ENTERTAINMENT: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.9 GOVERNMENT AND DEFENSE
    • 9.9.1 INCREASING DEMAND FOR ADVANCED SURVEILLANCE AND INTELLIGENCE GATHERING CAPABILITIES TO DRIVE DEMAND FOR COMPOSITE AI
    • TABLE 92 GOVERNMENT AND DEFENSE: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 93 GOVERNMENT AND DEFENSE: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.10 TELECOM
    • 9.10.1 COMPOSITE AI USED TO OPTIMIZE NETWORKS AND ENSURE EFFICIENT AND RELIABLE PERFORMANCE IN TELECOM VERTICAL
    • TABLE 94 TELECOM: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 95 TELECOM: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.11 OTHER VERTICALS
    • TABLE 96 OTHER VERTICALS: COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 97 OTHER VERTICALS: COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)

10 COMPOSITE AI MARKET, BY REGION

  • 10.1 INTRODUCTION
    • FIGURE 40 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • FIGURE 41 INDIA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 98 COMPOSITE AI MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 99 COMPOSITE AI MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: COMPOSITE AI MARKET DRIVERS
    • 10.2.2 NORTH AMERICA: RECESSION IMPACT
    • FIGURE 42 NORTH AMERICA: MARKET SNAPSHOT
    • TABLE 100 NORTH AMERICA: COMPOSITE AI MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 101 NORTH AMERICA: COMPOSITE AI MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 102 NORTH AMERICA: COMPOSITE AI MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 103 NORTH AMERICA: COMPOSITE AI MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 104 NORTH AMERICA: COMPOSITE AI MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 105 NORTH AMERICA: COMPOSITE AI MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 106 NORTH AMERICA: COMPOSITE AI MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 107 NORTH AMERICA: COMPOSITE AI MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 108 NORTH AMERICA: COMPOSITE AI MARKET, BY TECHNIQUE, 2019-2022 (USD MILLION)
    • TABLE 109 NORTH AMERICA: COMPOSITE AI MARKET, BY TECHNIQUE, 2023-2028 (USD MILLION)
    • TABLE 110 NORTH AMERICA: COMPOSITE AI MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 111 NORTH AMERICA: COMPOSITE AI MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 112 NORTH AMERICA: COMPOSITE AI MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 113 NORTH AMERICA: COMPOSITE AI MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 114 NORTH AMERICA: COMPOSITE AI MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 115 NORTH AMERICA: COMPOSITE AI MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.2.3 US
      • 10.2.3.1 Proliferation of digital technologies generating vast amounts of data to fuel adoption of composite AI
    • 10.2.4 CANADA
      • 10.2.4.1 Rising adoption of cutting-edge technologies to enhance customer services
  • 10.3 EUROPE
    • 10.3.1 EUROPE: COMPOSITE AI MARKET DRIVERS
    • 10.3.2 EUROPE: RECESSION IMPACT
    • TABLE 116 EUROPE: COMPOSITE AI MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 117 EUROPE: COMPOSITE AI MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 118 EUROPE: COMPOSITE AI MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 119 EUROPE: COMPOSITE AI MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 120 EUROPE: COMPOSITE AI MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 121 EUROPE: COMPOSITE AI MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 122 EUROPE: COMPOSITE AI MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 123 EUROPE: COMPOSITE AI MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 124 EUROPE: COMPOSITE AI MARKET, BY TECHNIQUE, 2019-2022 (USD MILLION)
    • TABLE 125 EUROPE: COMPOSITE AI MARKET, BY TECHNIQUE, 2023-2028 (USD MILLION)
    • TABLE 126 EUROPE: COMPOSITE AI MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 127 EUROPE: COMPOSITE AI MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 128 EUROPE: COMPOSITE AI MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 129 EUROPE: COMPOSITE AI MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 130 EUROPE: COMPOSITE AI MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 131 EUROPE: COMPOSITE AI MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.3.3 UK
      • 10.3.3.1 Growing adoption of composite AI in eCommerce and rising number of startups to fuel market growth
    • 10.3.4 GERMANY
      • 10.3.4.1 Growing adoption of cutting-edge digital technologies, coupled with government initiatives, to fuel adoption of composite AI
    • 10.3.5 FRANCE
      • 10.3.5.1 Growing number of startups and active support by government to drive demand for composite AI
    • 10.3.6 ITALY
      • 10.3.6.1 Availability of advanced algorithms, frameworks, and tools to enable integration of different AI components
    • 10.3.7 SPAIN
      • 10.3.7.1 Rapid adoption of emerging technologies to enhance customer experience to drive market
    • 10.3.8 REST OF EUROPE
      • 10.3.8.1 Initiatives taken by governments and rising application of composite AI across verticals to fuel market
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: COMPOSITE AI MARKET DRIVERS
    • 10.4.2 ASIA PACIFIC: RECESSION IMPACT
    • FIGURE 43 ASIA PACIFIC: MARKET SNAPSHOT
    • TABLE 132 ASIA PACIFIC: COMPOSITE AI MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 133 ASIA PACIFIC: COMPOSITE AI MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 134 ASIA PACIFIC: COMPOSITE AI MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 135 ASIA PACIFIC: COMPOSITE AI MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 136 ASIA PACIFIC: COMPOSITE AI MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 137 ASIA PACIFIC: COMPOSITE AI MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 138 ASIA PACIFIC: COMPOSITE AI MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 139 ASIA PACIFIC: COMPOSITE AI MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 140 ASIA PACIFIC: COMPOSITE AI MARKET, BY TECHNIQUE, 2019-2022 (USD MILLION)
    • TABLE 141 ASIA PACIFIC: COMPOSITE AI MARKET, BY TECHNIQUE, 2023-2028 (USD MILLION)
    • TABLE 142 ASIA PACIFIC: COMPOSITE AI MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 143 ASIA PACIFIC: COMPOSITE AI MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 144 ASIA PACIFIC: COMPOSITE AI MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 145 ASIA PACIFIC: COMPOSITE AI MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 146 ASIA PACIFIC: COMPOSITE AI MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 147 ASIA PACIFIC: COMPOSITE AI MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • TABLE 148 ASIA PACIFIC: COMPOSITE AI MARKET, BY ASEAN COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 149 ASIA PACIFIC: COMPOSITE AI MARKET, BY ASEAN COUNTRY, 2023-2028 (USD MILLION)
    • 10.4.3 CHINA
      • 10.4.3.1 Growing composite AI solutions in various verticals to drive market growth
    • 10.4.4 INDIA
      • 10.4.4.1 High adoption of AI technology to drive market
    • 10.4.5 JAPAN
      • 10.4.5.1 Advancements in technologies and need to prevent data breaches to drive market
    • 10.4.6 ANZ
      • 10.4.6.1 Rising need to reduce overall operational costs to drive composite AI market
    • 10.4.7 SOUTH KOREA
      • 10.4.7.1 Adoption of AI and related technologies to help create favorable environment for composite AI market growth
    • 10.4.8 ASEAN COUNTRIES
      • 10.4.8.1 Growing data generation to boost demand for composite AI in ASEAN countries
    • 10.4.9 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET DRIVERS
    • 10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
    • TABLE 150 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 151 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 152 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 153 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 154 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 155 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 156 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 157 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 158 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY TECHNIQUE, 2019-2022 (USD MILLION)
    • TABLE 159 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY TECHNIQUE, 2023-2028 (USD MILLION)
    • TABLE 160 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 161 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 162 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 163 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 164 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 165 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.5.3 UNITED ARAB EMIRATES
      • 10.5.3.1 Customer support services to drive market for composite AI in UAE
    • 10.5.4 SAUDI ARABIA
      • 10.5.4.1 Operational efficiency of composite AI solutions and services to drive market
    • 10.5.5 SOUTH AFRICA
      • 10.5.5.1 Emphasis on improving customer experience to drive demand for composite AI
    • 10.5.6 ISRAEL
      • 10.5.6.1 Country's reputation as technological powerhouse to drive market
    • 10.5.7 REST OF MIDDLE EAST & AFRICA
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: COMPOSITE AI MARKET DRIVERS
    • 10.6.2 LATIN AMERICA: RECESSION IMPACT
    • TABLE 166 LATIN AMERICA: COMPOSITE AI MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 167 LATIN AMERICA: COMPOSITE AI MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 168 LATIN AMERICA: COMPOSITE AI MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 169 LATIN AMERICA: COMPOSITE AI MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 170 LATIN AMERICA: COMPOSITE AI MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 171 LATIN AMERICA: COMPOSITE AI MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 172 LATIN AMERICA: COMPOSITE AI MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 173 LATIN AMERICA: COMPOSITE AI MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 174 LATIN AMERICA: COMPOSITE AI MARKET, BY TECHNIQUE, 2019-2022 (USD MILLION)
    • TABLE 175 LATIN AMERICA: COMPOSITE AI MARKET, BY TECHNIQUE, 2023-2028 (USD MILLION)
    • TABLE 176 LATIN AMERICA: COMPOSITE AI MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 177 LATIN AMERICA: COMPOSITE AI MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 178 LATIN AMERICA: COMPOSITE AI MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 179 LATIN AMERICA: COMPOSITE AI MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 180 LATIN AMERICA: COMPOSITE AI MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 181 LATIN AMERICA: COMPOSITE AI MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.6.3 BRAZIL
      • 10.6.3.1 Focus on technologies and applications to drive market for composite AI
    • 10.6.4 MEXICO
      • 10.6.4.1 Proximity to US and technical expertise within country to drive growth
    • 10.6.5 ARGENTINA
      • 10.6.5.1 Initiatives by government and private institutions to provide common ground for collaboration and development
    • 10.6.6 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 STRATEGIES ADOPTED BY KEY PLAYERS
    • TABLE 182 OVERVIEW OF STRATEGIES ADOPTED BY KEY COMPOSITE AI VENDORS
  • 11.3 REVENUE ANALYSIS
    • 11.3.1 HISTORICAL REVENUE ANALYSIS
    • FIGURE 44 HISTORICAL REVENUE ANALYSIS OF TOP PLAYERS, 2020-2022 (USD MILLION)
  • 11.4 MARKET SHARE ANALYSIS
    • FIGURE 45 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022
    • TABLE 183 COMPOSITE AI MARKET: DEGREE OF COMPETITION
  • 11.5 COMPANY EVALUATION QUADRANT
    • 11.5.1 STARS
    • 11.5.2 EMERGING LEADERS
    • 11.5.3 PERVASIVE PLAYERS
    • 11.5.4 PARTICIPANTS
    • FIGURE 46 COMPANY EVALUATION QUADRANT OF KEY COMPOSITE AI MARKET PLAYERS, 2022
    • 11.5.5 COMPETITIVE BENCHMARKING
    • TABLE 184 COMPOSITE AI MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
    • TABLE 185 COMPOSITE AI MARKET: PRODUCT FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022
  • 11.6 STARTUP/SME EVALUATION QUADRANT
    • 11.6.1 PROGRESSIVE COMPANIES
    • 11.6.2 RESPONSIVE COMPANIES
    • 11.6.3 DYNAMIC COMPANIES
    • 11.6.4 STARTING BLOCKS
    • FIGURE 47 STARTUPS/SMES COMPOSITE AI PLAYERS: COMPANY EVALUATION QUADRANT, 2022
    • 11.6.5 COMPETITIVE BENCHMARKING OF STARTUPS/SMES
    • TABLE 186 COMPOSITE AI MARKET: DETAILED LIST OF KEY STARTUPS/SMES
    • TABLE 187 COMPOSITE AI MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SMES, 2023
  • 11.7 COMPOSITE AI PRODUCT LANDSCAPE
    • 11.7.1 COMPARATIVE ANALYSIS OF COMPOSITE AI PRODUCTS
    • TABLE 188 COMPARATIVE ANALYSIS OF COMPOSITE AI PRODUCTS OF KEY PLAYERS
    • TABLE 189 COMPARATIVE ANALYSIS OF COMPOSITE AI PRODUCTS OF OTHER KEY PLAYERS
  • 11.8 VALUATION AND FINANCIAL METRICS OF KEY COMPOSITE AI VENDORS
    • FIGURE 48 FINANCIAL METRICS OF KEY COMPOSITE AI VENDORS
    • FIGURE 49 YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY COMPOSITE AI VENDORS
  • 11.9 COMPETITIVE SCENARIO AND TRENDS
    • 11.9.1 PRODUCT LAUNCHES
    • TABLE 190 SERVICE/PRODUCT LAUNCHES, 2020-2023
    • 11.9.2 DEALS
    • TABLE 191 DEALS, 2020-2023

12 COMPANY PROFILES

  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS

(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)**

    • 12.2.1 IBM
    • TABLE 192 IBM: BUSINESS OVERVIEW
    • FIGURE 50 IBM: COMPANY SNAPSHOT
    • TABLE 193 IBM: PRODUCTS OFFERED
    • TABLE 194 IBM: PRODUCT LAUNCHES
    • TABLE 195 IBM: DEALS
    • 12.2.2 SAS INSTITUTE
    • TABLE 196 SAS INSTITUTE: BUSINESS OVERVIEW
    • TABLE 197 SAS INSTITUTE: PRODUCTS OFFERED
    • TABLE 198 SAS INSTITUTE: DEALS
    • 12.2.3 MICROSOFT
    • TABLE 199 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 51 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 200 MICROSOFT: PRODUCTS OFFERED
    • TABLE 201 MICROSOFT: PRODUCT LAUNCHES
    • TABLE 202 MICROSOFT: DEALS
    • 12.2.4 GOOGLE
    • TABLE 203 GOOGLE: BUSINESS OVERVIEW
    • FIGURE 52 GOOGLE: COMPANY SNAPSHOT
    • TABLE 204 GOOGLE: PRODUCTS OFFERED
    • TABLE 205 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • 12.2.5 AWS
    • TABLE 206 AWS: BUSINESS OVERVIEW
    • FIGURE 53 AWS: COMPANY SNAPSHOT
    • TABLE 207 AWS: PRODUCTS OFFERED
    • TABLE 208 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 209 AWS: DEALS
    • 12.2.6 SALESFORCE
    • TABLE 210 SALESFORCE: BUSINESS OVERVIEW
    • FIGURE 54 SALESFORCE: COMPANY SNAPSHOT
    • TABLE 211 SALESFORCE: PRODUCTS OFFERED
    • TABLE 212 SALESFORCE: DEALS
    • 12.2.7 BLACKSWAN TECHNOLOGIES
    • TABLE 213 BLACKSWAN TECHNOLOGIES: BUSINESS OVERVIEW
    • TABLE 214 BLACKSWAN TECHNOLOGIES: PRODUCTS OFFERED
    • TABLE 215 BLACKSWAN TECHNOLOGIES: PRODUCT LAUNCHES
    • TABLE 216 BLACKSWAN TECHNOLOGIES: DEALS
    • 12.2.8 ORACLE
    • TABLE 217 ORACLE: BUSINESS OVERVIEW
    • FIGURE 55 ORACLE: COMPANY SNAPSHOT
    • TABLE 218 ORACLE: PRODUCTS OFFERED
    • TABLE 219 ORACLE: PRODUCT LAUNCHES
    • TABLE 220 ORACLE: DEALS
    • 12.2.9 OPENTEXT
    • TABLE 221 OPENTEXT: BUSINESS OVERVIEW
    • FIGURE 56 OPENTEXT: COMPANY SNAPSHOT
    • TABLE 222 OPENTEXT: PRODUCTS OFFERED
      • 12.2.9.3 Recent developments
    • TABLE 223 OPENTEXT: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 224 OPENTEXT: DEALS
    • 12.2.10 SAP
    • TABLE 225 SAP: BUSINESS OVERVIEW
    • FIGURE 57 SAP: COMPANY SNAPSHOT
    • TABLE 226 SAP: PRODUCTS OFFERED
    • TABLE 227 SAP: DEALS
    • 12.2.11 HPE
    • TABLE 228 HPE: BUSINESS OVERVIEW
    • FIGURE 58 HPE: COMPANY SNAPSHOT
    • TABLE 229 HPE: PRODUCTS OFFERED
    • TABLE 230 HPE: DEALS
    • 12.2.12 PEGA
    • TABLE 231 PEGA: BUSINESS OVERVIEW
    • FIGURE 59 PEGA: COMPANY SNAPSHOT
    • TABLE 232 PEGA: PRODUCTS OFFERED
    • TABLE 233 PEGA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 234 PEGA: DEALS
  • 12.3 OTHER KEY PLAYERS
    • 12.3.1 NVIDIA
    • 12.3.2 INTEL
    • 12.3.3 UIPATH
    • 12.3.4 ZEST AI
    • 12.3.5 DYNAMIC YIELD
    • 12.3.6 DATAROBOT
    • 12.3.7 H20.AI
    • 12.3.8 SQUIRRO
    • 12.3.9 COGNITIVESCALE
    • 12.3.10 SPARKCOGNITION
    • 12.3.11 DIWO
  • 12.4 STARTUPS/SMES
    • 12.4.1 ACTICO
    • 12.4.2 KYNDI
    • 12.4.3 NAUTO
    • 12.4.4 NETRA
    • 12.4.5 EXPONENTIAL AI
  • *Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.

13 ADJACENT AND RELATED MARKETS

  • 13.1 INTRODUCTION
  • 13.2 NLP MARKET - GLOBAL FORECAST TO 2027
    • 13.2.1 MARKET DEFINITION
    • 13.2.2 MARKET OVERVIEW
      • 13.2.2.1 NLP market, by component
    • TABLE 235 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
    • TABLE 236 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.2.2.2 NLP market, by type
    • TABLE 237 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016-2021 (USD MILLION)
    • TABLE 238 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • 13.2.2.3 NLP market, by deployment mode
    • TABLE 239 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
    • TABLE 240 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
      • 13.2.2.4 NLP market, by organization size
    • TABLE 241 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
    • TABLE 242 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
      • 13.2.2.5 NLP market, by application
    • TABLE 243 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
    • TABLE 244 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • 13.2.2.6 NLP market, by technology
    • TABLE 245 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016-2021 (USD MILLION)
    • TABLE 246 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2022-2027 (USD MILLION)
      • 13.2.2.7 NLP market, by vertical
    • TABLE 247 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
    • TABLE 248 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
      • 13.2.2.8 NLP market, by region
    • TABLE 249 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016-2021 (USD MILLION)
    • TABLE 250 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 13.3 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2027
    • 13.3.1 MARKET DEFINITION
    • 13.3.2 MARKET OVERVIEW
      • 13.3.2.1 Artificial intelligence market, by offering
    • TABLE 251 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016-2021 (USD BILLION)
    • TABLE 252 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022-2027 (USD BILLION)
      • 13.3.2.2 Artificial intelligence market, by technology
    • TABLE 253 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016-2021 (USD BILLION)
    • TABLE 254 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022-2027 (USD BILLION)
      • 13.3.2.3 Artificial intelligence market, by deployment mode
    • TABLE 255 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD BILLION)
    • TABLE 256 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD BILLION)
      • 13.3.2.4 Artificial intelligence market, by organization size
    • TABLE 257 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD BILLION)
    • TABLE 258 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD BILLION)
      • 13.3.2.5 Artificial intelligence market, by business function
    • TABLE 259 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016-2021 (USD BILLION)
    • TABLE 260 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022-2027 (USD BILLION)
      • 13.3.2.6 Artificial intelligence market, by vertical
    • TABLE 261 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016-2021 (USD BILLION)
    • TABLE 262 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022-2027 (USD BILLION)
      • 13.3.2.7 Artificial intelligence market, by region
    • TABLE 263 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016-2021 (USD BILLION)
    • TABLE 264 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022-2027 (USD BILLION)

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS