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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

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  • 281 Pages
  • May 2023
  • Region: Global
  • Markets and Markets
  • ID: 5821215
Description Jump to:

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 the Composite AI Market
Table 3 Impact of Recession on the Global Market

3 Executive Summary
Table 4 Global Composite AI Market Size and Growth Rate, 2019-2022 (USD Million, Y-O-Y %)
Table 5 Global 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 the Global Market
Figure 17 Market to Witness Minor Decline in Y-O-Y Growth in 2023
4.3 Market: Top Three Applications
Figure 18 Customer Service Segment to Grow at Highest CAGR During Forecast Period
4.4 North America: 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 Market, 2013-2023
Table 8 List of Patents in Market, 2023
Figure 27 Regional Analysis of Patents Granted in 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 the 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 the Development of Composite AI

6 Composite AI Market, by Offering
6.1 Introduction
6.1.1 Offering: Market Drivers
Figure 33 Hardware Segment to Register Highest CAGR During Forecast Period
Table 18 Market, by Offering, 2019-2022 (USD Million)
Table 19 Market, by Offering, 2023-2028 (USD Million)
6.2 Hardware
Figure 34 Networks to Grow at Highest CAGR During Forecast Period
Table 20 Market, by Hardware, 2019-2022 (USD Million)
Table 21 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: Market, by Region, 2019-2022 (USD Million)
Table 23 Processors: 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: Market, by Region, 2019-2022 (USD Million)
Table 25 Memory Units: 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: Market, by Region, 2023-2028 (USD Million)
6.2.4 Other Hardware
Table 28 Other Hardware: Market, by Region, 2019-2022 (USD Million)
Table 29 Other Hardware: Market, by Region, 2023-2028 (USD Million)
6.3 Software
Figure 35 AI Middleware to Grow at Highest CAGR During Forecast Period
Table 30 Market, by Software, 2019-2022 (USD Million)
Table 31 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: Market, by Region, 2019-2022 (USD Million)
Table 33 Machine Learning Frameworks: 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: Market, by Region, 2019-2022 (USD Million)
Table 35 AI Development Platforms and Tools: 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: Market, by Region, 2019-2022 (USD Million)
Table 37 AI Middleware: 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: 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: Market, by Type, 2019-2022 (USD Million)
Table 41 Services: 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: Market, by Region, 2019-2022 (USD Million)
Table 43 Training and Consulting: 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: Market, by Region, 2019-2022 (USD Million)
Table 45 System Integration and Implementation: 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: Market, by Region, 2019-2022 (USD Million)
Table 47 Support and Maintenance: Market, by Region, 2023-2028 (USD Million)

7 Composite AI Market, by Technique
7.1 Introduction
7.1.1 Technique: Market Drivers
Figure 37 Data Mining & Machine Learning Segment to Register Highest CAGR During the Forecast Period
Table 48 Market, by Technique, 2019-2022 (USD Million)
Table 49 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: Market, by Region, 2019-2022 (USD Million)
Table 51 Conditioned Monitoring: 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: 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: Market, by Region, 2019-2022 (USD Million)
Table 55 Data Processing: 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: Market, by Region, 2019-2022 (USD Million)
Table 57 Proactive Mechanism: 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: Market, by Region, 2019-2022 (USD Million)
Table 59 Data Mining & Machine Learning: Market, by Region, 2023-2028 (USD Million)
7.7 Other Techniques
Table 60 Other Techniques: Market, by Region, 2019-2022 (USD Million)
Table 61 Other Techniques: Market, by Region, 2023-2028 (USD Million)

8 Composite AI Market, by Application
8.1 Introduction
8.1.1 Application: Market Drivers
Figure 38 Customer Service Segment to Grow at Highest CAGR During Forecast Period
Table 62 Market, by Application, 2019-2022 (USD Million)
Table 63 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: Market, by Region, 2019-2022 (USD Million)
Table 65 Product Design & Development: Market, by Region, 2023-2028 (USD Million)
8.3 Quality Control
8.3.1 Quality Control to Minimize Risks Associated with the Use of AI
Table 66 Quality Control: Composite AI Market, by Region, 2019-2022 (USD Million)
Table 67 Quality Control: Market, by Region, 2023-2028 (USD Million)
8.4 Predictive Maintenance
8.4.1 Rising to Need to Enable Proactive Maintenance Strategies and Drive Operational Efficiency to Fuel Market Growth
Table 68 Predictive Maintenance: Market, by Region, 2019-2022 (USD Million)
Table 69 Predictive Maintenance: 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: Market, by Region, 2019-2022 (USD Million)
Table 71 Security & Surveillance: 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: Market, by Region, 2019-2022 (USD Million)
Table 73 Customer Service: Market, by Region, 2023-2028 (USD Million)
8.7 Other Applications
Table 74 Other Applications: Market, by Region, 2019-2022 (USD Million)
Table 75 Other Applications: Market, by Region, 2023-2028 (USD Million)

9 Composite AI Market, by Vertical
9.1 Introduction
9.1.1 Vertical: 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 Market, by Vertical, 2019-2022 (USD Million)
Table 77 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: Market, by Region, 2019-2022 (USD Million)
Table 79 Bfsi: 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: 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: Market, by Region, 2019-2022 (USD Million)
Table 83 Manufacturing: 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: Market, by Region, 2019-2022 (USD Million)
Table 85 Energy and Utilities: 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: Market, by Region, 2019-2022 (USD Million)
Table 87 Transportation and Logistics: Market, by Region, 2023-2028 (USD Million)
9.7 Healthcare and Life Sciences
9.7.1 Composite AI to Drive the 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: 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: Market, by Region, 2019-2022 (USD Million)
Table 91 Media and Entertainment: 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: Market, by Region, 2019-2022 (USD Million)
Table 93 Government and Defense: 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: Market, by Region, 2019-2022 (USD Million)
Table 95 Telecom: Market, by Region, 2023-2028 (USD Million)
9.11 Other Verticals
Table 96 Other Verticals: Market, by Region, 2019-2022 (USD Million)
Table 97 Other Verticals: 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 Market, by Region, 2019-2022 (USD Million)
Table 99 Market, by Region, 2023-2028 (USD Million)
10.2 North America
10.2.1 North America: Market Drivers
10.2.2 North America: Recession Impact
Figure 42 North America: Composite AI Market Snapshot
Table 100 North America: Market, by Offering, 2019-2022 (USD Million)
Table 101 North America: Market, by Offering, 2023-2028 (USD Million)
Table 102 North America: Market, by Hardware, 2019-2022 (USD Million)
Table 103 North America: Market, by Hardware, 2023-2028 (USD Million)
Table 104 North America: Market, by Software, 2019-2022 (USD Million)
Table 105 North America: Market, by Software, 2023-2028 (USD Million)
Table 106 North America: Composite AI Market, by Service, 2019-2022 (USD Million)
Table 107 North America: Market, by Service, 2023-2028 (USD Million)
Table 108 North America: Market, by Technique, 2019-2022 (USD Million)
Table 109 North America: Market, by Technique, 2023-2028 (USD Million)
Table 110 North America: Market, by Application, 2019-2022 (USD Million)
Table 111 North America: Market, by Application, 2023-2028 (USD Million)
Table 112 North America: Market, by Vertical, 2019-2022 (USD Million)
Table 113 North America: Market, by Vertical, 2023-2028 (USD Million)
Table 114 North America: Market, by Country, 2019-2022 (USD Million)
Table 115 North America: 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: Market Drivers
10.3.2 Europe: Recession Impact
Table 116 Europe: Composite AI Market, by Offering, 2019-2022 (USD Million)
Table 117 Europe: Market, by Offering, 2023-2028 (USD Million)
Table 118 Europe: Market, by Hardware, 2019-2022 (USD Million)
Table 119 Europe: Market, by Hardware, 2023-2028 (USD Million)
Table 120 Europe: Market, by Software, 2019-2022 (USD Million)
Table 121 Europe: Market, by Software, 2023-2028 (USD Million)
Table 122 Europe: Market, by Service, 2019-2022 (USD Million)
Table 123 Europe: Market, by Service, 2023-2028 (USD Million)
Table 124 Europe: Composite AI Market, by Technique, 2019-2022 (USD Million)
Table 125 Europe: Market, by Technique, 2023-2028 (USD Million)
Table 126 Europe: Market, by Application, 2019-2022 (USD Million)
Table 127 Europe: Market, by Application, 2023-2028 (USD Million)
Table 128 Europe: Market, by Vertical, 2019-2022 (USD Million)
Table 129 Europe: Market, by Vertical, 2023-2028 (USD Million)
Table 130 Europe: Market, by Country, 2019-2022 (USD Million)
Table 131 Europe: 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: Market Drivers
10.4.2 Asia-Pacific: Recession Impact
Figure 43 Asia-Pacific: Composite AI Market Snapshot
Table 132 Asia-Pacific: Market, by Offering, 2019-2022 (USD Million)
Table 133 Asia-Pacific: Market, by Offering, 2023-2028 (USD Million)
Table 134 Asia-Pacific: Market, by Hardware, 2019-2022 (USD Million)
Table 135 Asia-Pacific: Market, by Hardware, 2023-2028 (USD Million)
Table 136 Asia-Pacific: Market, by Software, 2019-2022 (USD Million)
Table 137 Asia-Pacific: Market, by Software, 2023-2028 (USD Million)
Table 138 Asia-Pacific: Market, by Service, 2019-2022 (USD Million)
Table 139 Asia-Pacific: Market, by Service, 2023-2028 (USD Million)
Table 140 Asia-Pacific: Composite AI Market, by Technique, 2019-2022 (USD Million)
Table 141 Asia-Pacific: Market, by Technique, 2023-2028 (USD Million)
Table 142 Asia-Pacific: Market, by Application, 2019-2022 (USD Million)
Table 143 Asia-Pacific: Market, by Application, 2023-2028 (USD Million)
Table 144 Asia-Pacific: Market, by Vertical, 2019-2022 (USD Million)
Table 145 Asia-Pacific: Market, by Vertical, 2023-2028 (USD Million)
Table 146 Asia-Pacific: Market, by Country, 2019-2022 (USD Million)
Table 147 Asia-Pacific: Market, by Country, 2023-2028 (USD Million)
Table 148 Asia-Pacific: Market, by Asean Country, 2019-2022 (USD Million)
Table 149 Asia-Pacific: 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 Market
10.4.7 South Korea
10.4.7.1 Adoption of AI and Related Technologies to Help Create a Favorable Environment for 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: 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: Market, by Offering, 2023-2028 (USD Million)
Table 152 Middle East & Africa: Market, by Hardware, 2019-2022 (USD Million)
Table 153 Middle East & Africa: Market, by Hardware, 2023-2028 (USD Million)
Table 154 Middle East & Africa: Market, by Software, 2019-2022 (USD Million)
Table 155 Middle East & Africa: Market, by Software, 2023-2028 (USD Million)
Table 156 Middle East & Africa: Market, by Service, 2019-2022 (USD Million)
Table 157 Middle East & Africa: Market, by Service, 2023-2028 (USD Million)
Table 158 Middle East & Africa: Market, by Technique, 2019-2022 (USD Million)
Table 159 Middle East & Africa: Market, by Technique, 2023-2028 (USD Million)
Table 160 Middle East & Africa: Market, by Application, 2019-2022 (USD Million)
Table 161 Middle East & Africa: Market, by Application, 2023-2028 (USD Million)
Table 162 Middle East & Africa: Market, by Vertical, 2019-2022 (USD Million)
Table 163 Middle East & Africa: Market, by Vertical, 2023-2028 (USD Million)
Table 164 Middle East & Africa: Market, by Country, 2019-2022 (USD Million)
Table 165 Middle East & Africa: 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: 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: Market, by Offering, 2023-2028 (USD Million)
Table 168 Latin America: Market, by Hardware, 2019-2022 (USD Million)
Table 169 Latin America: Market, by Hardware, 2023-2028 (USD Million)
Table 170 Latin America: Market, by Software, 2019-2022 (USD Million)
Table 171 Latin America: Market, by Software, 2023-2028 (USD Million)
Table 172 Latin America: Market, by Service, 2019-2022 (USD Million)
Table 173 Latin America: Market, by Service, 2023-2028 (USD Million)
Table 174 Latin America: Market, by Technique, 2019-2022 (USD Million)
Table 175 Latin America: Market, by Technique, 2023-2028 (USD Million)
Table 176 Latin America: Market, by Application, 2019-2022 (USD Million)
Table 177 Latin America: Market, by Application, 2023-2028 (USD Million)
Table 178 Latin America: Market, by Vertical, 2019-2022 (USD Million)
Table 179 Latin America: Market, by Vertical, 2023-2028 (USD Million)
Table 180 Latin America: Market, by Country, 2019-2022 (USD Million)
Table 181 Latin America: 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 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 Market Players, 2022
11.5.5 Competitive Benchmarking
Table 184 Composite AI Market: Product Footprint Analysis of Key Players, 2022
Table 185 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 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, Analyst's 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, and Analyst's View Might Not be Captured in the 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: The Subscription Portal
14.3 Customization Options

Companies Mentioned

  • Actico
  • AWS
  • Blackswan Technologies
  • Cognitivescale
  • Datarobot
  • Diwo
  • Dynamic Yield
  • Exponential AI
  • Google
  • H20.AI
  • HPE
  • IBM
  • Intel
  • Kyndi
  • Microsoft
  • Nauto
  • Netra
  • Nvidia
  • OpenText
  • Oracle
  • Pega
  • Salesforce
  • SAP
  • SAS Institute
  • Sparkcognition
  • Squirro
  • Uipath
  • Zest AI

Methodology

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Table Information

Report AttributeDetails
No. of Pages281
PublishedMay 2023
Forecast Period2023 - 2028
Estimated Market Value ( USD ) in 2023 $ 0.9 Billion
Forecasted Market Value ( USD ) by 2028 $ 4.4 Billion
Compound Annual Growth Rate36.5%
Regions CoveredGlobal
No. of Companies Mentioned28

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