Report Content
Chapter 1 Methodology & Scope
1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 Artificial intelligence as a service market 360º synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2024-2032
2.3 Regional trends
2.4 Technology trends
2.5 Cloud Type trends
2.6 Organization Size trends
2.7 Offering trends
2.8 Industry Vertical trends
Chapter 3 Artificial Intelligence as a Service Industry Insights
3.1 Industry ecosystem analysis
3.2 Supplier landscape
3.2.1 Cloud service providers
3.2.2 AI solution providers
3.2.3 Enterprises and businesses
3.3 Profit margin analysis
3.4 Technology innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
3.8.1 Growth drivers
3.8.1.1 Demand for optimized procurement processes and enhanced efficiency
3.8.1.2 Emphasis on data-driven insights to optimize procurement strategies
3.8.1.3 The proliferation of AI systems supply chain management
3.8.1.4 Enhanced supplier performance evaluation and risk management
3.8.2 Industry pitfalls & challenges
3.8.2.1 Poor data quality and integration issues
3.8.2.2 Data security concerns
3.9 Growth potential analysis
3.10 Porter’s analysis
3.11 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company market share, 2023
4.3 Competitive analysis of major market players, 2023
4.3.1 Amazon Web Services, Inc.
4.3.2 Salesforce, Inc.
4.3.3 IBM Corporation
4.3.4 Intel Corporation
4.3.5 Microsoft
4.3.6 BigML, Inc.
4.3.7 Google LLC
4.4 Competitive positioning matrix, 2023
4.5 Strategic outlook matrix, 2023
Chapter 5 Artificial Intelligence as a Service Market Estimates & Forecast, By Technology
5.1 Key trends, by technology
5.2 Machine learning (ML)
5.3 Computer vision
5.4 Natural language processing (NLP)
5.5 Others
Chapter 6 Artificial Intelligence as a Service Market Estimates & Forecast, By Cloud Type
6.1 Key trends, by cloud type
6.2 Public cloud
6.3 Hybrid cloud
6.4 Private cloud
Chapter 7 Artificial Intelligence as a Service Market Estimates & Forecast, By Organization
7.1 Key trends, by organization size
7.2 Large enterprises
7.3 SMEs
Chapter 8 Artificial Intelligence as a Service Market Estimates & Forecast, By Offering
8.1 Key trends, by offering
8.2 Infrastructure as a service
8.3 Platform as a service
8.4 Software as a service
Chapter 9 Artificial Intelligence as a Service Market Estimates & Forecast, By Industry Vertical Industry
9.1 Key trends, by industry vertical
9.2 Banking, Financial, and Insurance (BFSI)
9.3 Healthcare and life sciences
9.4 Retail
9.5 IT & telecommunication
9.6 Government and defense
9.7 Manufacturing
9.8 Energy & utility
9.9 Others
Chapter 10 Artificial Intelligence as a Service Market Estimates & Forecast, By Region
10.1 Key trends, by region
10.2 North America
10.2.1 U.S.
10.2.2 Canada
10.3 Europe
10.3.1 UK
10.3.2 Germany
10.3.3 France
10.3.4 Italy
10.3.5 Spain
10.3.6 Russia
10.3.7 Nordics
10.4 Asia Pacific
10.4.1 China
10.4.2 India
10.4.3 Japan
10.4.4 South Korea
10.4.5 ANZ
10.4.6 Southeast Asia
10.5 Latin America
10.5.1 Brazil
10.5.2 Mexico
10.5.3 Argentina
10.6 MEA
10.6.1 South Africa
10.6.2 Saudi Arabia
10.6.3 UAE
Chapter 11 Company Profiles
11.1 Amazon Web Services, Inc.
11.2 Alibaba Cloud
11.3 Baidu Cloud
11.4 BigML, Inc.
11.5 C3.ai
11.6 Datarobot
11.7 Fair Isaac Corporation
11.8 Google LLC
11.9 H2O.ai
11.10 IBM Corporation
11.11 Intel Corporation
11.12 Iris.ai
11.13 Microsoft
11.14 NVIDIA
11.15 Oracle Corporation
11.16 Rainbird Technologies
11.17 Salesforce, Inc.
11.18 SAP SE
11.19 Siemens
