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 Autonomous AI and autonomous agents market 360º synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2023 - 2032
2.3 Regional trends
2.4 Component trends
2.5 Deployment model trends
2.6 Technology trends
2.7 Industry vertical trends
Chapter 3 Autonomous AI and Autonomous Agents Industry Insights
3.1 Impact of COVID-19
3.2 Industry ecosystem analysis
3.3 Technology & innovation landscape
3.4 Patent analysis
3.5 Key news and initiatives
3.5.1 Partnership/Collaboration
3.5.2 Merger/Acquisition
3.5.3 Investment
3.5.4 Product launch & innovation
3.6 Regulatory landscape
3.7 Impact forces
3.7.1 Growth drivers
3.7.1.1 Increasing global demand for automation and efficiency
3.7.1.2 Growing advancements in AI and Machine Learning (ML) technologies
3.7.1.3 Increasing adoption of cloud computing
3.7.1.4 Rising demand for autonomous AI and autonomous agents in the manufacturing sector
3.7.1.5 Surge in government support for AI research & development
3.7.2 Industry pitfalls & challenges
3.7.2.1 Safety and reliability concerns
3.7.2.2 Data security and privacy
3.8 Growth potential analysis
3.9 Porter’s analysis
3.10 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
4.3.1 Google
4.3.2 IBM
4.3.3 Microsoft
4.3.4 Oracle Corporation
4.3.5 SAP SE
4.3.6 Waymo LLC
4.3.7 OpenAI
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022
Chapter 5 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Component (Revenue)
5.1 Key trends, by component
5.2 Hardware
5.3 Software
5.4 Services
Chapter 6 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Deployment model (Revenue)
6.1 Key trends, by deployment model
6.2 On-Premises
6.3 Cloud
Chapter 7 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Technology (Revenue)
7.1 Key trends, by technology
7.2 Machine learning
7.3 NLP
7.4 Context Awareness
7.5 Computer Vision
Chapter 8 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Industry vertical (Revenue)
8.1 Key trends, by industry vertical
8.2 BFSI
8.3 Healthcare
8.4 Retail & E-Commerce
8.5 IT & Telecom
8.6 Manufacturing
8.7 Government & Defense
8.8 Others
Chapter 9 Autonomous AI and Autonomous Agents Market Estimates & Forecast, By Region (Revenue)
9.1 Key trends, by region
9.2 North America
9.2.1 U.S.
9.2.2 Canada
9.3 Europe
9.3.1 UK
9.3.2 Germany
9.3.3 France
9.3.4 Italy
9.3.5 Spain
9.3.6 Nordics
9.4 Asia Pacific
9.4.1 China
9.4.2 India
9.4.3 Japan
9.4.4 South Korea
9.4.5 Australia
9.4.6 Southeast Asia
9.5 Latin America
9.5.1 Brazil
9.5.2 Mexico
9.5.3 Argentina
9.6 MEA
9.6.1 South Africa
9.6.2 UAE
9.6.3 Saudi Arabia
Chapter 10 Company Profiles
10.1 Aerogility
10.2 AgentGPT
10.3 Amazon Web Services, Inc.
10.4 Baidu
10.5 Deepmind
10.6 Fetch.ai
10.7 Genesys
10.8 Google
10.9 H20.ai
10.10 IBM
10.11 Microsoft
10.12 Nvidia Corporation
10.13 OpenAI
10.14 Oracle
10.15 Rezolve AI Limited
10.16 Salesforce
10.17 SAP SE
10.18 SAS Institute Inc.
10.19 ServiceNow
10.20 Waymo LLC
