Global AI in Computer Vision Market
Description
Artificial Intelligence (AI) in Computer Vision Market size was valued at USD 22.8 billion in 2023 and is poised to grow from USD 27.93 billion in 2024 to USD 141.63 billion by 2032, growing at a CAGR of 22.5% during the forecast period (2024-2032).
Artificial Intelligence (AI) in computer vision is revolutionizing predictive maintenance across various sectors by enhancing fault detection in systems through CCTV and deep learning algorithms. Its significance spans industries such as consumer products, healthcare, and manufacturing, driven by the integration of smart cameras and image sensors. The versatility of computer vision extends beyond traditional applications, finding utility in autonomous vehicles, drones, education, retail, and security. Essential functionalities like facial recognition and biometric scanning also contribute to asset protection and identity verification in high-security environments. Collaborations between AI providers and industry specialists facilitate the adoption of AI-driven solutions, improving efficiency. Additionally, as road safety remains a pressing concern, AI’s capabilities in real-time visual processing show promise in minimizing traffic incidents and enhancing overall safety.
Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) in Computer Vision market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Artificial Intelligence (AI) in Computer Vision Market Segments Analysis
Global Artificial Intelligence (AI) in Computer Vision Market is segmented by Machine Learning Models, Offering, Function, Technology, Application, Vertical and region. Based on Machine Learning Models, the market is segmented into Supervised Learning, Unsupervised Learning and Reinforcement Learning. Based on Offering, the market is segmented into Cameras, Frame Grabbers, Optics, Led Lighting, Processors, AI Vision Software and AI Platforms. Based on Function, the market is segmented into Training and Inference. Based on Technology, the market is segmented into Machine Learning and Generative Ai. Based on Application, the market is segmented into Quality Assurance & Inspection, Measurement, Identification, Predictive Maintenance and Positioning & Guidance. Based on Vertical, the market is segmented into Automotive, Consumer Electronics, Healthcare, Retail, Security And Surveillance, Manufacturing, Agriculture, Transportation & Logistics and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Artificial Intelligence (AI) in Computer Vision Market
The rapid evolution of artificial intelligence algorithms, particularly in deep learning and neural networks, is significantly enhancing the functionality of computer vision systems. These advancements allow for highly precise and efficient analysis of images and videos, thereby fostering the widespread integration of AI within computer vision across numerous sectors. As organizations recognize the transformative potential of these technologies, they are increasingly embracing AI-driven solutions to improve their visual data processing capabilities, leading to a surge in adoption and application across diverse industries. This momentum underscores the pivotal role of AI in shaping the future of computer vision.
Restraints in the Artificial Intelligence (AI) in Computer Vision Market
The implementation of AI in computer vision systems often entails significant financial investments, posing a substantial obstacle, particularly for small and medium-sized enterprises (SMEs). The substantial costs associated with acquiring advanced hardware, specialized software, and employing skilled professionals can deter potential adopters from pursuing these technologies. As a result, many organizations may find it challenging to justify the financial commitment required for successful integration, limiting the widespread adoption of AI-driven computer vision solutions across various sectors. This financial burden may inhibit innovation and restrict access to the benefits that AI can offer, particularly for smaller businesses with limited resources.
Market Trends of the Artificial Intelligence (AI) in Computer Vision Market
The convergence of Artificial Intelligence (AI) in computer vision with the Internet of Things (IoT) is emerging as a pivotal market trend, fostering transformative advancements across various sectors. This synergy facilitates the development of intelligent applications that offer real-time insights, empowering connected devices to enhance functionalities in smart cities, industrial automation, retail analytics, and home security. By harnessing AI-driven computer vision, organizations are unlocking new operational efficiencies and innovative solutions, thereby creating significant growth opportunities. This integration not only streamlines processes but also enriches user experiences, positioning AI and IoT at the forefront of technological evolution in a digitally interconnected world.
Artificial Intelligence (AI) in computer vision is revolutionizing predictive maintenance across various sectors by enhancing fault detection in systems through CCTV and deep learning algorithms. Its significance spans industries such as consumer products, healthcare, and manufacturing, driven by the integration of smart cameras and image sensors. The versatility of computer vision extends beyond traditional applications, finding utility in autonomous vehicles, drones, education, retail, and security. Essential functionalities like facial recognition and biometric scanning also contribute to asset protection and identity verification in high-security environments. Collaborations between AI providers and industry specialists facilitate the adoption of AI-driven solutions, improving efficiency. Additionally, as road safety remains a pressing concern, AI’s capabilities in real-time visual processing show promise in minimizing traffic incidents and enhancing overall safety.
Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence (AI) in Computer Vision market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Artificial Intelligence (AI) in Computer Vision Market Segments Analysis
Global Artificial Intelligence (AI) in Computer Vision Market is segmented by Machine Learning Models, Offering, Function, Technology, Application, Vertical and region. Based on Machine Learning Models, the market is segmented into Supervised Learning, Unsupervised Learning and Reinforcement Learning. Based on Offering, the market is segmented into Cameras, Frame Grabbers, Optics, Led Lighting, Processors, AI Vision Software and AI Platforms. Based on Function, the market is segmented into Training and Inference. Based on Technology, the market is segmented into Machine Learning and Generative Ai. Based on Application, the market is segmented into Quality Assurance & Inspection, Measurement, Identification, Predictive Maintenance and Positioning & Guidance. Based on Vertical, the market is segmented into Automotive, Consumer Electronics, Healthcare, Retail, Security And Surveillance, Manufacturing, Agriculture, Transportation & Logistics and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Artificial Intelligence (AI) in Computer Vision Market
The rapid evolution of artificial intelligence algorithms, particularly in deep learning and neural networks, is significantly enhancing the functionality of computer vision systems. These advancements allow for highly precise and efficient analysis of images and videos, thereby fostering the widespread integration of AI within computer vision across numerous sectors. As organizations recognize the transformative potential of these technologies, they are increasingly embracing AI-driven solutions to improve their visual data processing capabilities, leading to a surge in adoption and application across diverse industries. This momentum underscores the pivotal role of AI in shaping the future of computer vision.
Restraints in the Artificial Intelligence (AI) in Computer Vision Market
The implementation of AI in computer vision systems often entails significant financial investments, posing a substantial obstacle, particularly for small and medium-sized enterprises (SMEs). The substantial costs associated with acquiring advanced hardware, specialized software, and employing skilled professionals can deter potential adopters from pursuing these technologies. As a result, many organizations may find it challenging to justify the financial commitment required for successful integration, limiting the widespread adoption of AI-driven computer vision solutions across various sectors. This financial burden may inhibit innovation and restrict access to the benefits that AI can offer, particularly for smaller businesses with limited resources.
Market Trends of the Artificial Intelligence (AI) in Computer Vision Market
The convergence of Artificial Intelligence (AI) in computer vision with the Internet of Things (IoT) is emerging as a pivotal market trend, fostering transformative advancements across various sectors. This synergy facilitates the development of intelligent applications that offer real-time insights, empowering connected devices to enhance functionalities in smart cities, industrial automation, retail analytics, and home security. By harnessing AI-driven computer vision, organizations are unlocking new operational efficiencies and innovative solutions, thereby creating significant growth opportunities. This integration not only streamlines processes but also enriches user experiences, positioning AI and IoT at the forefront of technological evolution in a digitally interconnected world.
Table of Contents
305 Pages
- 1. Introduction
- 1.1. Objectives of the Study
- 1.2. Definitions
- 1.3. Market Scope
- 2. Research Methodology
- 2.1. Information Procurement
- 2.2. Secondary & Primary Data Sources
- 2.3. Market Size Estimation
- 2.4. Market Assumptions & Limitations
- 3. Executive Summary
- 3.1. Market Overview Outlook
- 3.2. Supply-Demand Trend Analysis
- 3.3. Segmental Opportunity Analysis
- 4. Market Dynamics & Outlook
- 4.1. Market Dynamics
- 4.1.1. Drivers
- 4.1.2. Opportunities
- 4.1.3. Restraints
- 4.1.4. Challenges
- 4.2. Porter’s Analysis
- 4.2.1. Competitive Rivalry
- 4.2.2. Threat of Substitute Products
- 4.2.3. Bargaining Power of Buyers
- 4.2.4. Threat of New Entrants
- 4.2.5. Bargaining Power of Suppliers
- 5. Key Market Insights
- 5.1. Key Success Factors of the Market
- 5.2. Value Chain Analysis
- 5.3. Top Investment Pockets
- 5.4. Market Attractive Index
- 5.5. Ecosystem Mapping
- 5.6. PESTEL Analysis
- 5.7. Trade Analysis
- 5.8. Customer Buying Criteria Analysis
- 5.9. Regulatory Analysis
- 5.10. Technology Analysis
- 6. Global Artificial Intelligence (AI) in Computer Vision Market by Component
- 6.1. Market Overview
- 6.2. Hardware
- 6.2.1. Processor
- 6.2.1.1. CPU
- 6.2.1.2. GPU
- 6.2.1.3. ASIC
- 6.2.1.4. FPGA
- 6.2.2. Memory
- 6.2.3. Storage
- 6.3. Software
- 6.3.1. Platform
- 6.3.2. Solution
- 7. Global Artificial Intelligence (AI) in Computer Vision Market by Function
- 7.1. Market Overview
- 7.2. Training
- 7.3. Inference
- 8. Global Artificial Intelligence (AI) in Computer Vision Market by Machine Learning Models
- 8.1. Market Overview
- 8.2. Supervised Learning
- 8.3. Unsupervised Learning
- 8.4. Reinforcement Learning
- 9. Global Artificial Intelligence (AI) in Computer Vision Market by Application
- 9.1. Market Overview
- 9.2. Industrial
- 9.2.1. 2D Machine Vision
- 9.2.2. 3D Machine Vision
- 9.2.3. Quality Assurance & Inspection
- 9.3. Non-Industrial
- 10. Global Artificial Intelligence (AI) in Computer Vision Market by End-Use Industry
- 10.1. Market Overview
- 10.2. Automotive
- 10.2.1. ADAS & Infotainment
- 10.2.2. Autonomous & Semi-Autonomous
- 10.3. Consumer Electronics
- 10.3.1. Gaming
- 10.3.2. Cameras
- 10.3.3. Wearables
- 10.3.4. Smartphones
- 10.4. Healthcare
- 10.4.1. Radiology
- 10.4.2. Medical Imaging
- 10.5. Retail
- 10.6. Security & Surveillance
- 10.6.1. Biometrics
- 10.6.2. Image & Video Analytics
- 10.6.3. AI-Guided Drone-Based Surveillance
- 10.7. Manufacturing
- 10.8. Agriculture
- 10.8.1. Crop Monitoring
- 10.8.2. Automated Irrigation Systems
- 10.9. Transportation & Logistics
- 10.10. Others
- 11. Global Artificial Intelligence (AI) in Computer Vision Market Size by Region
- 11.1. Market Overview
- 11.2. North America
- 11.2.1. USA
- 11.2.2. Canada
- 11.3. Europe
- 11.3.1. Germany
- 11.3.2. UK
- 11.3.3. France
- 11.3.4. Italy
- 11.3.5. Spain
- 11.3.6. Rest of Europe
- 11.4. Asia Pacific
- 11.4.1. China
- 11.4.2. India
- 11.4.3. Japan
- 11.4.4. South Korea
- 11.4.5. Rest of Asia-Pacific
- 11.5. Latin America
- 11.5.1. Brazil
- 11.5.2. Rest of Latin America
- 11.6. Middle East & Africa (MEA)
- 11.6.1. GCC Countries
- 11.6.2. South Africa
- 11.6.3. Rest of MEA
- 12. Competitive Landscape
- 12.1. Top 5 Player Comparison
- 12.2. Market Positioning of Key Players, 2024
- 12.3. Strategies Adopted by Key Market Players
- 12.4. Recent Activities in the Market
- 12.5. Key Companies Market Share (%), 2024
- 13. Key Company Profiles
- 13.1. Microsoft Corporation (US)
- 13.1.1. Company Overview
- 13.1.2. Business Segment Overview
- 13.1.3. Financial Updates
- 13.1.4. Key Developments
- 13.2. Google LLC (US)
- 13.2.1. Company Overview
- 13.2.2. Business Segment Overview
- 13.2.3. Financial Updates
- 13.2.4. Key Developments
- 13.3. IBM Corporation (US)
- 13.3.1. Company Overview
- 13.3.2. Business Segment Overview
- 13.3.3. Financial Updates
- 13.3.4. Key Developments
- 13.4. Amazon Web Services, Inc. (US)
- 13.4.1. Company Overview
- 13.4.2. Business Segment Overview
- 13.4.3. Financial Updates
- 13.4.4. Key Developments
- 13.5. Intel Corporation (US)
- 13.5.1. Company Overview
- 13.5.2. Business Segment Overview
- 13.5.3. Financial Updates
- 13.5.4. Key Developments
- 13.6. NVIDIA Corporation (US)
- 13.6.1. Company Overview
- 13.6.2. Business Segment Overview
- 13.6.3. Financial Updates
- 13.6.4. Key Developments
- 13.7. Apple Inc. (US)
- 13.7.1. Company Overview
- 13.7.2. Business Segment Overview
- 13.7.3. Financial Updates
- 13.7.4. Key Developments
- 13.8. Facebook, Inc. (US)
- 13.8.1. Company Overview
- 13.8.2. Business Segment Overview
- 13.8.3. Financial Updates
- 13.8.4. Key Developments
- 13.9. Qualcomm Incorporated (US)
- 13.9.1. Company Overview
- 13.9.2. Business Segment Overview
- 13.9.3. Financial Updates
- 13.9.4. Key Developments
- 13.10. Baidu, Inc. (China)
- 13.10.1. Company Overview
- 13.10.2. Business Segment Overview
- 13.10.3. Financial Updates
- 13.10.4. Key Developments
- 13.11. Alibaba Group Holding Limited (China)
- 13.11.1. Company Overview
- 13.11.2. Business Segment Overview
- 13.11.3. Financial Updates
- 13.11.4. Key Developments
- 13.12. Tencent Holdings Limited (China)
- 13.12.1. Company Overview
- 13.12.2. Business Segment Overview
- 13.12.3. Financial Updates
- 13.12.4. Key Developments
- 13.13. Samsung Electronics Co., Ltd. (South Korea)
- 13.13.1. Company Overview
- 13.13.2. Business Segment Overview
- 13.13.3. Financial Updates
- 13.13.4. Key Developments
- 13.14. Sony Corporation (Japan)
- 13.14.1. Company Overview
- 13.14.2. Business Segment Overview
- 13.14.3. Financial Updates
- 13.14.4. Key Developments
- 13.15. Huawei Technologies Co., Ltd. (China)
- 13.15.1. Company Overview
- 13.15.2. Business Segment Overview
- 13.15.3. Financial Updates
- 13.15.4. Key Developments
- 13.16. SenseTime Group Ltd. (China)
- 13.16.1. Company Overview
- 13.16.2. Business Segment Overview
- 13.16.3. Financial Updates
- 13.16.4. Key Developments
- 13.17. Cognex Corporation (US)
- 13.17.1. Company Overview
- 13.17.2. Business Segment Overview
- 13.17.3. Financial Updates
- 13.17.4. Key Developments
- 13.18. Honeywell International Inc. (US)
- 13.18.1. Company Overview
- 13.18.2. Business Segment Overview
- 13.18.3. Financial Updates
- 13.18.4. Key Developments
- 13.19. Texas Instruments Incorporated (US)
- 13.19.1. Company Overview
- 13.19.2. Business Segment Overview
- 13.19.3. Financial Updates
- 13.19.4. Key Developments
- 13.20. NEC Corporation (Japan)
- 13.20.1. Company Overview
- 13.20.2. Business Segment Overview
- 13.20.3. Financial Updates
- 13.20.4. Key Developments
- 14. Conclusion & Recommendation
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