Product Code: 5479
Computer Vision Market is expected to gain appreciable traction through 2032 due to the increasing advancements in the autonomous vehicle industry. Growing investments in autonomous vehicles will boost applications for smart sensors such as camera sensors, LiDAR, radar, and more. All these sensors offer users full-fledged AI images of the surroundings for safe and easy mobility. Besides, vision sensors provide an enhanced view of the surroundings during parking and support ADAS features in autonomous vehicles.
Overall, the computer vision industry is segmented in terms of component, product type, applications, end-user, and region.
Based on components, the software segment is slated to grow considerably owing to the rapid technological innovations that allow users to develop images and computer vision-related models such as facial recognition, image classification, object detection, and tracking object mobility. Software in computer vision assists in building an end-to-end platform for linking all applications with a single server that supports multiple languages, constant updates, and technology improvement that makes the process more efficient.
By product type, the PC-based segment held over USD 5 billion market share in 2022. Increasing innovations in modern systems to upgrade data storage via ports, cable, processing boards, and vision engines will drive the market demand.
Considering the application, the quality assurance and inspection segment is estimated to generate over USD 10 billion in revenue between 2023 and 2032. The segmental growth is expected to come from the rising adoption of process automation technology in several industries to boost productivity. Moreover, several scientific laboratories use videos and images created by smart camera-based computer vision to check the quality and gain insights into bacteria count, virus detection, and more.
In terms of end-user, the healthcare segment will register strong growth as there is a huge demand for AI and IoT-based deployment models to increase the efficiency of services offered in the healthcare settings. Besides, several healthcare centers are opting for computer vision technology, as it offers 2D and 3D pictures and images as well as assists in examining and monitoring highlighted symptoms & diseases to provide proper diagnosis.
Regionally, the Asia-Pacific computer vision market is expected to grow considerably through 2032. Mounting technological innovations in agriculture to empower users identify defects and analyze the weight, ripeness, and crop-related factors will positively influence the regional market dynamics. Besides, several countries across the region are planning to invest more in IoT to boost digitalization and meet the increasing market needs.
Table of Contents
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 Computer Vision industry 360 degree 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 Product type trends
- 2.6 Application trends
- 2.7 End-use trends
Chapter 3 Computer Vision Market Industry Insights
- 3.1 Introduction
- 3.2 Russia- Ukraine war impact
- 3.3 Industry ecosystem
- 3.3.1 Hardware providers
- 3.3.2 Software providers
- 3.3.3 Service providers
- 3.3.4 Technology providers
- 3.3.5 End-user
- 3.3.6 Profit margin analysis
- 3.3.7 Vendor Matrix
- 3.4 Technology & innovation landscape
- 3.4.1 Robotics
- 3.4.2 Autonomous Vehicles
- 3.4.3 Data-centric AI
- 3.4.4 3D construction
- 3.5 Patent analysis
- 3.6 Key initiative and news
- 3.6.1 Product launches
- 3.6.2 Mergers & acquisition
- 3.6.3 Collaboration and partnership
- 3.6.4 Investment landscape
- 3.7 Regulatory landscape
- 3.8 Industry impact forces
- 3.8.1 Growth drivers
- 3.8.1.1 Increasing development in autonomous vehicle industry
- 3.8.1.2 Growing demand for predictive maintenance and quality assurance in manufacturing industry
- 3.8.1.3 Rise in investment in AI and IoT
- 3.8.1.4 Growing digitalization in retail industry
- 3.8.1.5 Integration of smart technologies for security & surveillance purpose
- 3.8.2 Industry pitfalls & challenges
- 3.8.2.1 Data safety and security related issues
- 3.9 Growth potential analysis
- 3.10 Porter's analysis
- 3.11 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 Microsoft Corporation
- 4.3.2 Intel Corporation
- 4.3.3 IBM Corporation
- 4.3.4 NVIDIA Corporation
- 4.3.5 Teledyne Technologies
- 4.4 Competitive analysis of innovation leaders, 2022
- 4.4.1 SAS Institute
- 4.4.2 Qualcomm
- 4.4.3 MediaTek Inc.
- 4.4.4 Cadence Design Systems
- 4.4.5 Keyence
- 4.5 Competitive positioning matrix
- 4.6 Strategic outlook matrix
Chapter 5 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 Computer Vision Market, By Product Type
- 6.1 Key trends, by product type
- 6.2 PC-based
- 6.2.1 Market estimates and forecast, 2018-2032
- 6.3 Smart camera-based
- 6.3.1 Market estimates and forecast, 2018-2032
Chapter 7 Computer Vision Market, By Application
- 7.1 Key trends, by application
- 7.2 Predictive maintenance
- 7.2.1 Market estimates and forecast, 2018-2032
- 7.3 Quality assurance & inspection
- 7.3.1 Market estimates and forecast, 2018-2032
- 7.4 Position & guidance
- 7.4.1 Market estimates and forecast, 2018-2032
- 7.5 Identification
- 7.5.1 Market estimates and forecast, 2018-2032
Chapter 8 Computer Vision Market, By End-use
- 8.1 Key trends, by end-use
- 8.2 Retail
- 8.2.1 Market estimates and forecast, 2018-2032
- 8.3 BFSI
- 8.3.1 Market estimates and forecast, 2018-2032
- 8.4 Government
- 8.4.1 Market estimates and forecast, 2018-2032
- 8.5 Healthcare
- 8.5.1 Market estimates and forecast, 2018-2032
- 8.6 Agriculture
- 8.6.1 Market estimates and forecast, 2018-2032
- 8.7 Manufacturing
- 8.7.1 Market estimates and forecast, 2018-2032
- 8.8 Automotive & Transportation
- 8.8.1 Market estimates and forecast, 2018-2032
- 8.9 Others
- 8.9.1 Market estimates and forecast, 2018-2032
Chapter 9 Computer Vision Market, By Region
- 9.1 Key trends, by region
- 9.2 North America
- 9.2.1 Market estimates and forecast, by component, 2018-2032
- 9.2.2 Market estimates and forecast, by product type, 2018-2032
- 9.2.3 Market estimates and forecast, by application, 2018-2032
- 9.2.4 Market estimates and forecast, by end-use, 2018-2032
- 9.2.5 U.S.
- 9.2.5.1 Market estimates and forecast, by component, 2018-2032
- 9.2.5.2 Market estimates and forecast, by product type, 2018-2032
- 9.2.5.3 Market estimates and forecast, by application, 2018-2032
- 9.2.5.4 Market estimates and forecast, by end-use, 2018-2032
- 9.2.6 Canada
- 9.2.6.1 Market estimates and forecast, by component, 2018-2032
- 9.2.6.2 Market estimates and forecast, by product type, 2018-2032
- 9.2.6.3 Market estimates and forecast, by application, 2018-2032
- 9.2.6.4 Market estimates and forecast, by end-use, 2018-2032
- 9.3 Europe
- 9.3.1 Market estimates and forecast, by component, 2018-2032
- 9.3.2 Market estimates and forecast, by product type, 2018-2032
- 9.3.3 Market estimates and forecast, by application, 2018-2032
- 9.3.4 Market estimates and forecast, by end-use, 2018-2032
- 9.3.5 UK
- 9.3.5.1 Market estimates and forecast, by component, 2018-2032
- 9.3.5.2 Market estimates and forecast, by product type, 2018-2032
- 9.3.5.3 Market estimates and forecast, by application, 2018-2032
- 9.3.5.4 Market estimates and forecast, by end-use, 2018-2032
- 9.3.6 Germany
- 9.3.6.1 Market estimates and forecast, by component, 2018-2032
- 9.3.6.2 Market estimates and forecast, by product type, 2018-2032
- 9.3.6.3 Market estimates and forecast, by application, 2018-2032
- 9.3.6.4 Market estimates and forecast, by end-use, 2018-2032
- 9.3.7 France
- 9.3.7.1 Market estimates and forecast, by component, 2018-2032
- 9.3.7.2 Market estimates and forecast, by product type, 2018-2032
- 9.3.7.3 Market estimates and forecast, by application, 2018-2032
- 9.3.7.4 Market estimates and forecast, by end-use, 2018-2032
- 9.3.8 Italy
- 9.3.8.1 Market estimates and forecast, by component, 2018-2032
- 9.3.8.2 Market estimates and forecast, by product type, 2018-2032
- 9.3.8.3 Market estimates and forecast, by application, 2018-2032
- 9.3.8.4 Market estimates and forecast, by end-use, 2018-2032
- 9.3.9 Spain
- 9.3.9.1 Market estimates and forecast, by component, 2018-2032
- 9.3.9.2 Market estimates and forecast, by product type, 2018-2032
- 9.3.9.3 Market estimates and forecast, by application, 2018-2032
- 9.3.9.4 Market estimates and forecast, by end-use, 2018-2032
- 9.3.10 Netherland
- 9.3.10.1 Market estimates and forecast, by component, 2018-2032
- 9.3.10.2 Market estimates and forecast, by product type, 2018-2032
- 9.3.10.3 Market estimates and forecast, by application, 2018-2032
- 9.3.10.4 Market estimates and forecast, by end-use, 2018-2032
- 9.4 Asia Pacific
- 9.4.1 Market estimates and forecast, by component, 2018-2032
- 9.4.2 Market estimates and forecast, by product type, 2018-2032
- 9.4.3 Market estimates and forecast, by application, 2018-2032
- 9.4.4 Market estimates and forecast, by end-use, 2018-2032
- 9.4.5 China
- 9.4.5.1 Market estimates and forecast, by component, 2018-2032
- 9.4.5.2 Market estimates and forecast, by product type, 2018-2032
- 9.4.5.3 Market estimates and forecast, by application, 2018-2032
- 9.4.5.4 Market estimates and forecast, by end-use, 2018-2032
- 9.4.6 Japan
- 9.4.6.1 Market estimates and forecast, by component, 2018-2032
- 9.4.6.2 Market estimates and forecast, by product type, 2018-2032
- 9.4.6.3 Market estimates and forecast, by application, 2018-2032
- 9.4.6.4 Market estimates and forecast, by end-use, 2018-2032
- 9.4.7 India
- 9.4.7.1 Market estimates and forecast, by component, 2018-2032
- 9.4.7.2 Market estimates and forecast, by product type, 2018-2032
- 9.4.7.3 Market estimates and forecast, by application, 2018-2032
- 9.4.7.4 Market estimates and forecast, by end-use, 2018-2032
- 9.4.8 ANZ
- 9.4.8.1 Market estimates and forecast, by component, 2018-2032
- 9.4.8.2 Market estimates and forecast, by product type, 2018-2032
- 9.4.8.3 Market estimates and forecast, by application, 2018-2032
- 9.4.8.4 Market estimates and forecast, by end-use, 2018-2032
- 9.4.9 South Korea
- 9.4.9.1 Market estimates and forecast, by component, 2018-2032
- 9.4.9.2 Market estimates and forecast, by product type, 2018-2032
- 9.4.9.3 Market estimates and forecast, by application, 2018-2032
- 9.4.9.4 Market estimates and forecast, by end-use, 2018-2032
- 9.5 Latin America
- 9.5.1 Market estimates and forecast, by component, 2018-2032
- 9.5.2 Market estimates and forecast, by product type, 2018-2032
- 9.5.3 Market estimates and forecast, by application, 2018-2032
- 9.5.4 Market estimates and forecast, by end-use, 2018-2032
- 9.5.5 Brazil
- 9.5.5.1 Market estimates and forecast, by component, 2018-2032
- 9.5.5.2 Market estimates and forecast, by product type, 2018-2032
- 9.5.5.3 Market estimates and forecast, by application, 2018-2032
- 9.5.5.4 Market estimates and forecast, by end-use, 2018-2032
- 9.5.6 Mexico
- 9.5.6.1 Market estimates and forecast, by component, 2018-2032
- 9.5.6.2 Market estimates and forecast, by product type, 2018-2032
- 9.5.6.3 Market estimates and forecast, by application, 2018-2032
- 9.5.6.4 Market estimates and forecast, by end-use, 2018-2032
- 9.5.7 Argentina
- 9.5.7.1 Market estimates and forecast, by component, 2018-2032
- 9.5.7.2 Market estimates and forecast, by product type, 2018-2032
- 9.5.7.3 Market estimates and forecast, by application, 2018-2032
- 9.5.7.4 Market estimates and forecast, by end-use, 2018-2032
- 9.6 MEA
- 9.6.1 Market estimates and forecast, by component, 2018-2032
- 9.6.2 Market estimates and forecast, by product type, 2018-2032
- 9.6.3 Market estimates and forecast, by application, 2018-2032
- 9.6.4 Market estimates and forecast, by end-use, 2018-2032
- 9.6.5 Saudi Arabia
- 9.6.5.1 Market estimates and forecast, by component, 2018-2032
- 9.6.5.2 Market estimates and forecast, by product type, 2018-2032
- 9.6.5.3 Market estimates and forecast, by application, 2018-2032
- 9.6.5.4 Market estimates and forecast, by end-use, 2018-2032
- 9.6.6 UAE
- 9.6.6.1 Market estimates and forecast, by component, 2018-2032
- 9.6.6.2 Market estimates and forecast, by product type, 2018-2032
- 9.6.6.3 Market estimates and forecast, by application, 2018-2032
- 9.6.6.4 Market estimates and forecast, by end-use, 2018-2032
- 9.6.7 South Africa
- 9.6.7.1 Market estimates and forecast, by component, 2018-2032
- 9.6.7.2 Market estimates and forecast, by product type, 2018-2032
- 9.6.7.3 Market estimates and forecast, by application, 2018-2032
- 9.6.7.4 Market estimates and forecast, by end-use, 2018-2032
Chapter 10 Company Profiles
- 10.1 Avigilon
- 10.1.1 Business Overview
- 10.1.2 Financial Data
- 10.1.3 Product Landscape
- 10.1.4 Strategic Outlook
- 10.1.5 SWOT Analysis
- 10.2 Basler AG
- 10.2.1 Business Overview
- 10.2.2 Financial Data
- 10.2.3 Product Landscape
- 10.2.4 Strategic Outlook
- 10.2.5 SWOT Analysis
- 10.3 Cadence Design Systems
- 10.3.1 Business Overview
- 10.3.2 Financial Data
- 10.3.3 Product Landscape
- 10.3.4 Strategic Outlook
- 10.3.5 SWOT Analysis
- 10.4 Cognex Corporation
- 10.4.1 Business Overview
- 10.4.2 Financial Data
- 10.4.3 Product Landscape
- 10.4.4 Strategic Outlook
- 10.4.5 SWOT Analysis
- 10.5 Google LLC (Alphabet)
- 10.5.1 Business Overview
- 10.5.2 Financial Data
- 10.5.3 Product Landscape
- 10.5.4 Strategic Outlook
- 10.5.5 SWOT Analysis
- 10.6 IBM Corporation
- 10.6.1 Business Overview
- 10.6.2 Financial Data
- 10.6.3 Product Landscape
- 10.6.4 Strategic Outlook
- 10.6.5 SWOT Analysis
- 10.7 Intel Corporation
- 10.7.1 Business Overview
- 10.7.2 Financial Data
- 10.7.3 Product Landscape
- 10.7.4 Strategic Outlook
- 10.7.5 SWOT Analysis
- 10.8 ISRA Vision GMBH
- 10.8.1 Business Overview
- 10.8.2 Financial Data
- 10.8.3 Product Landscape
- 10.8.4 Strategic Outlook
- 10.8.5 SWOT Analysis
- 10.9 Keyence
- 10.9.1 Business Overview
- 10.9.2 Financial Data
- 10.9.3 Product Landscape
- 10.9.4 Strategic Outlook
- 10.9.5 SWOT Analysis
- 10.10 Matterport,Inc.
- 10.10.1 Business Overview
- 10.10.2 Financial Data
- 10.10.3 Product Landscape
- 10.10.4 Strategic Outlook
- 10.10.5 SWOT Analysis
- 10.11 Keyence
- 10.11.1 Business Overview
- 10.11.2 Financial Data
- 10.11.3 Product Landscape
- 10.11.4 Strategic Outlook
- 10.11.5 SWOT Analysis
- 10.12 Microsoft Corporation
- 10.12.1 Business Overview
- 10.12.2 Financial Data
- 10.12.3 Product Landscape
- 10.12.4 Strategic Outlook
- 10.12.5 SWOT Analysis
- 10.13 National Instruments Corp.
- 10.13.1 Business Overview
- 10.13.2 Financial Data
- 10.13.3 Product Landscape
- 10.13.4 Strategic Outlook
- 10.13.5 SWOT Analysis
- 10.14 NVIDIA Corporation
- 10.14.1 Business Overview
- 10.14.2 Financial Data
- 10.14.3 Product Landscape
- 10.14.4 Strategic Outlook
- 10.14.5 SWOT Analysis
- 10.15 Omron
- 10.15.1 Business Overview
- 10.15.2 Financial Data
- 10.15.3 Product Landscape
- 10.15.4 Strategic Outlook
- 10.15.5 SWOT Analysis
- 10.16 Qualcomm
- 10.16.1 Business Overview
- 10.16.2 Financial Data
- 10.16.3 Product Landscape
- 10.16.4 Strategic Outlook
- 10.16.5 SWOT Analysis
- 10.17 Sony
- 10.17.1 Business Overview
- 10.17.2 Financial Data
- 10.17.3 Product Landscape
- 10.17.4 Strategic Outlook
- 10.17.5 SWOT Analysis
- 10.18 SAS Institute
- 10.18.1 Business Overview
- 10.18.2 Financial Data
- 10.18.3 Product Landscape
- 10.18.4 Strategic Outlook
- 10.18.5 SWOT Analysis
- 10.19 Softweb Solutions Inc.
- 10.19.1 Business Overview
- 10.19.2 Financial Data
- 10.19.3 Product Landscape
- 10.19.4 Strategic Outlook
- 10.19.5 SWOT Analysis
- 10.20 Teledyne Technologies
- 10.20.1 Business Overview
- 10.20.2 Financial Data
- 10.20.3 Product Landscape
- 10.20.4 Strategic Outlook
- 10.20.5 SWOT Analysis