Report Content
Chapter 1 Methodology and Scope
1.1 Scope & definitions
1.2 Base estimates and calculations
1.3 Forecast calculations
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 AI in computer vision industry 3600 synopsis, 2018-2032
2.2 Business trends
2.2.1 Total Addressable Market (TAM), 2024-2032
2.3 Regional trends
2.4 Component trends
2.5 Application trends
2.6 End-Use trends
Chapter 3 AI in Computer Vision Industry Insights
3.1 Industry ecosystem
3.1.1 Hardware providers
3.1.2 Software providers
3.1.3 Service providers
3.1.4 Technology providers
3.1.5 End-user
3.1.6 Profit margin analysis
3.1.7 Supplier Landscape
3.2 Technology & innovation landscape
3.2.1 Robotic process automation
3.2.2 AI optimized hardware
3.2.3 Deep learning platform
3.3 Patent analysis
3.4 Key initiative and news
3.4.1 Partnership/Collaboration
3.4.2 Merger/Acquisition
3.4.3 New launch
3.4.4 Investment
3.5 Regulatory landscape
3.6 Industry impact forces
3.6.1 Growth drivers
3.6.1.1 The growing penetration of AI in automotive industry
3.6.1.2 The rapid integration of AI for security & surveillance purpose
3.6.1.3 Rise in demand for predictive maintenance and quality assurance in manufacturing industry
3.6.1.4 The increasing digitalization in retail industry
3.6.1.5 The growing applications of AI in computer vision
3.6.2 Industry pitfalls & challenges
3.6.2.1 Data safety and security related issues
3.7 Growth potential analysis
3.8 Porter's analysis
3.9 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 Service, Inc.
4.3.2 Google LLC (Alphabet)
4.3.3 IBM Corporation
4.3.4 Intel Corporation
4.3.5 Microsoft Corporation
4.3.6 NVIDIA Corporation
4.3.7 Teledyne Technologies
4.4 Competitive positioning matrix
4.5 Strategic outlook matrix
Chapter 5 AI in Computer Vision Market, By Component
5.1 Key trends, by component
5.2 Hardware
5.2.1 Market estimates and forecast, 2018-2032
5.3 Software
5.3.1 Market estimates and forecast, 2018-2032
5.4 Services
5.4.1 Market estimates and forecast, 2018-2032
Chapter 6 AI in Computer Vision Market, By Application
6.1 Key trends, by application
6.2 Predictive maintenance
6.2.1 Market estimates and forecast, 2018-2032
6.3 Quality assurance & inspection
6.3.1 Market estimates and forecast, 2018-2032
6.4 Position & guidance
6.4.1 Market estimates and forecast, 2018-2032
6.5 Identification
6.5.1 Market estimates and forecast, 2018-2032
Chapter 7 AI in Computer Vision Market, By End-Use
7.1 Key trends, by end-use
7.2 Retail
7.2.1 Market estimates and forecast, 2018-2032
7.3 BFSI
7.3.1 Market estimates and forecast, 2018-2032
7.4 Government
7.4.1 Market estimates and forecast, 2018-2032
7.5 Healthcare
7.5.1 Market estimates and forecast, 2018-2032
7.6 Agriculture
7.6.1 Market estimates and forecast, 2018-2032
7.7 Manufacturing
7.7.1 Market estimates and forecast, 2018-2032
7.8 Automotive & Transportation
7.8.1 Market estimates and forecast, 2018-2032
7.9 Others
7.9.1 Market estimates and forecast, 2018-2032
Chapter 8 AI in Computer Vision Market, By Region
8.1 Key trends, by region
8.2 North America
8.2.1 Market estimates and forecast, by component, 2018-2032
8.2.2 Market estimates and forecast, by Application, 2018-2032
8.2.3 Market estimates and forecast, by End-Use, 2018-2032
8.2.4 U.S.
8.2.4.1 Market estimates and forecast, by component, 2018-2032
8.2.4.2 Market estimates and forecast, by Application, 2018-2032
8.2.4.3 Market estimates and forecast, by End-Use, 2018-2032
8.2.5 Canada
8.2.5.1 Market estimates and forecast, by component, 2018-2032
8.2.5.2 Market estimates and forecast, by Application, 2018-2032
8.2.5.3 Market estimates and forecast, by End-Use, 2018-2032
8.3 Europe
8.3.1 Market estimates and forecast, by component, 2018-2032
8.3.2 Market estimates and forecast, by Application, 2018-2032
8.3.3 Market estimates and forecast, by End-Use, 2018-2032
8.3.4 UK
8.3.4.1 Market estimates and forecast, by component, 2018-2032
8.3.4.2 Market estimates and forecast, by Application, 2018-2032
8.3.4.3 Market estimates and forecast, by End-Use, 2018-2032
8.3.5 Germany
8.3.5.1 Market estimates and forecast, by component, 2018-2032
8.3.5.2 Market estimates and forecast, by Application, 2018-2032
8.3.5.3 Market estimates and forecast, by End-Use, 2018-2032
8.3.6 France
8.3.6.1 Market estimates and forecast, by component, 2018-2032
8.3.6.2 Market estimates and forecast, by Application, 2018-2032
8.3.6.3 Market estimates and forecast, by End-Use, 2018-2032
8.3.7 Italy
8.3.7.1 Market estimates and forecast, by component, 2018-2032
8.3.7.2 Market estimates and forecast, by Application, 2018-2032
8.3.7.3 Market estimates and forecast, by End-Use, 2018-2032
8.3.8 Spain
8.3.8.1 Market estimates and forecast, by component, 2018-2032
8.3.8.2 Market estimates and forecast, by Application, 2018-2032
8.3.8.3 Market estimates and forecast, by End-Use, 2018-2032
8.3.9 Netherlands
8.3.9.1 Market estimates and forecast, by component, 2018-2032
8.3.9.2 Market estimates and forecast, by Application, 2018-2032
8.3.9.3 Market estimates and forecast, by End-Use, 2018-2032
8.4 Asia Pacific
8.4.1 Market estimates and forecast, by component, 2018-2032
8.4.2 Market estimates and forecast, by Application, 2018-2032
8.4.3 Market estimates and forecast, by End-Use, 2018-2032
8.4.4 China
8.4.4.1 Market estimates and forecast, by component, 2018-2032
8.4.4.2 Market estimates and forecast, by Application, 2018-2032
8.4.4.3 Market estimates and forecast, by End-Use, 2018-2032
8.4.5 Japan
8.4.5.1 Market estimates and forecast, by component, 2018-2032
8.4.5.2 Market estimates and forecast, by Application, 2018-2032
8.4.5.3 Market estimates and forecast, by End-Use, 2018-2032
8.4.6 India
8.4.6.1 Market estimates and forecast, by component, 2018-2032
8.4.6.2 Market estimates and forecast, by Application, 2018-2032
8.4.6.3 Market estimates and forecast, by End-Use, 2018-2032
8.4.7 ANZ
8.4.7.1 Market estimates and forecast, by component, 2018-2032
8.4.7.2 Market estimates and forecast, by Application, 2018-2032
8.4.7.3 Market estimates and forecast, by End-Use, 2018-2032
8.4.8 South Korea
8.4.8.1 Market estimates and forecast, by component, 2018-2032
8.4.8.2 Market estimates and forecast, by Application, 2018-2032
8.4.8.3 Market estimates and forecast, by End-Use, 2018-2032
8.5 Latin America
8.5.1 Market estimates and forecast, by component, 2018-2032
8.5.2 Market estimates and forecast, by Application, 2018-2032
8.5.3 Market estimates and forecast, by End-Use, 2018-2032
8.5.4 Brazil
8.5.4.1 Market estimates and forecast, by component, 2018-2032
8.5.4.2 Market estimates and forecast, by Application, 2018-2032
8.5.4.3 Market estimates and forecast, by End-Use, 2018-2032
8.5.5 Mexico
8.5.5.1 Market estimates and forecast, by component, 2018-2032
8.5.5.2 Market estimates and forecast, by Application, 2018-2032
8.5.5.3 Market estimates and forecast, by End-Use, 2018-2032
8.5.6 Argentina
8.5.6.1 Market estimates and forecast, by component, 2018-2032
8.5.6.2 Market estimates and forecast, by Application, 2018-2032
8.5.6.3 Market estimates and forecast, by End-Use, 2018-2032
8.6 MEA
8.6.1 Market estimates and forecast, by component, 2018-2032
8.6.2 Market estimates and forecast, by Application, 2018-2032
8.6.3 Market estimates and forecast, by End-Use, 2018-2032
8.6.4 Saudi Arabia
8.6.4.1 Market estimates and forecast, by component, 2018-2032
8.6.4.2 Market estimates and forecast, by Application, 2018-2032
8.6.4.3 Market estimates and forecast, by End-Use, 2018-2032
8.6.5 UAE
8.6.5.1 Market estimates and forecast, by component, 2018-2032
8.6.5.2 Market estimates and forecast, by Application, 2018-2032
8.6.5.3 Market estimates and forecast, by End-Use, 2018-2032
8.6.6 South Africa
8.6.6.1 Market estimates and forecast, by component, 2018-2032
8.6.6.2 Market estimates and forecast, by Application, 2018-2032
8.6.6.3 Market estimates and forecast, by End-Use, 2018-2032
Chapter 9 Company Profiles
9.1 Advanced Micro Device, Inc.
9.1.1 Business Overview
9.1.2 Financial Data
9.1.3 Product Landscape
9.1.4 Strategic Outlook
9.1.5 SWOT Analysis
9.2 Amazon Web Service, Inc.,
9.2.1 Business Overview
9.2.2 Financial Data
9.2.3 Product Landscape
9.2.4 Strategic Outlook
9.2.5 SWOT Analysis
9.3 Basler AG
9.3.1 Business Overview
9.3.2 Financial Data
9.3.3 Product Landscape
9.3.4 Strategic Outlook
9.3.5 SWOT Analysis
9.4 Cognex Corporation
9.4.1 Business Overview
9.4.2 Financial Data
9.4.3 Product Landscape
9.4.4 Strategic Outlook
9.4.5 SWOT Analysis
9.5 Google LLC (Alphabet)
9.5.1 Business Overview
9.5.2 Financial Data
9.5.3 Product Landscape
9.5.4 Strategic Outlook
9.5.5 SWOT Analysis
9.6 Graphcore
9.6.1 Business Overview
9.6.2 Financial Data
9.6.3 Product Landscape
9.6.4 Strategic Outlook
9.6.5 SWOT Analysis
9.7 Hailo
9.7.1 Business Overview
9.7.2 Financial Data
9.7.3 Product Landscape
9.7.4 Strategic Outlook
9.7.5 SWOT Analysis
9.8 IBM Corporation
9.8.1 Business Overview
9.8.2 Financial Data
9.8.3 Product Landscape
9.8.4 Strategic Outlook
9.8.5 SWOT Analysis
9.9 Intel Corporation
9.9.1 Business Overview
9.9.2 Financial Data
9.9.3 Product Landscape
9.9.4 Strategic Outlook
9.9.5 SWOT Analysis
9.10 Keyence
9.10.1 Business Overview
9.10.2 Financial Data
9.10.3 Product Landscape
9.10.4 Strategic Outlook
9.10.5 SWOT Analysis
9.11 MediaTek Inc.
9.11.1 Business Overview
9.11.2 Financial Data
9.11.3 Product Landscape
9.11.4 Strategic Outlook
9.11.5 SWOT Analysis
9.12 Microsoft Corporation
9.12.1 Business Overview
9.12.2 Financial Data
9.12.3 Product Landscape
9.12.4 Strategic Outlook
9.12.5 SWOT Analysis
9.13 NVIDIA Corporation
9.13.1 Business Overview
9.13.2 Financial Data
9.13.3 Product Landscape
9.13.4 Strategic Outlook
9.13.5 SWOT Analysis
9.14 Qualcomm
9.14.1 Business Overview
9.14.2 Financial Data
9.14.3 Product Landscape
9.14.4 Strategic Outlook
9.14.5 SWOT Analysis
9.15 Teledyne Technologies
9.15.1 Business Overview
9.15.2 Financial Data
9.15.3 Product Landscape
9.15.4 Strategic Outlook
9.15.5 SWOT Analysis
