The AI in computer vision market size has grown exponentially in recent years. It will grow from $33.45 billion in 2024 to $42.44 billion in 2025 at a compound annual growth rate (CAGR) of 26.9%. The growth in the historic period can be attributed to growth in adoption of industry 4.
The AI in computer vision market size is expected to see exponential growth in the next few years. It will grow to $124.08 billion in 2029 at a compound annual growth rate (CAGR) of 30.8%. The growth in the forecast period can be attributed to rising need for quality inspection and automation, government initiatives to support industrial automation and the integration of artificial intelligence, growing demand for computer vision systems in non-traditional and developing industries, increasing investments in ai technology. Major trends in the forecast period include innovative solutions, technological advancements in ai and computer vision technologies, strategic collaborations, integration of ai and ml, technological advancements.
The increasing demand for computer vision technologies across various business sectors is expected to drive the growth of AI in the computer vision market in the future. Computer vision is utilized in agriculture for tasks such as plant detection, crop monitoring, and automatic weeding. In retail, it facilitates self-checkout and people counting, while in manufacturing, it supports autonomous driving and robotics. The rising need for these technologies, particularly in sectors like manufacturing, is fueled by AI advancements, enabling systems to identify and categorize a wider range of objects. For example, in October 2023, the International Federation of Robotics, a Germany-based professional non-profit organization, reported that in 2022, the sale of service robots for professional use reached 158,000 units, representing a 48% increase. As companies increasingly adopt automation to address staffing shortages, the demand for computer vision technologies continues to grow, driving the AI in the computer vision market forward.
The surge in demand for automation is another factor expected to drive the growth of the AI in the computer vision market. Automation involves leveraging technology, machinery, or systems to execute tasks with minimal human intervention. AI in computer vision contributes to automation by enabling machines to interpret and respond to visual information, thereby enhancing efficiency and reducing the need for manual intervention. An illustrative statistic from CompTIA, Inc. in January 2023 projects AI expenditure within the retail sector to reach $20.05 billion by 2026, reflecting a compounded annual growth rate of 39% from 2019. The anticipation of 80% of retail executives implementing AI-driven intelligent automation in their companies by 2027 further underscores the rising demand for automation, influencing the AI in the computer vision market.
Major companies in the AI in the computer vision market are focusing on innovative developments, such as real-time analytics aimed at providing immediate alerts for anomalies. Real-time analytics involves analyzing data as it is generated, enabling quick insights and decision-making. For instance, in February 2024, Assert AI, an India-based software development company, launched Pratham, a platform designed to simplify video analytics for users across multiple industries. This no-code computer vision platform allows users to analyze video feeds without needing to write code. It supports various applications, including footfall tracking, production line monitoring, and anomaly detection. Users can customize their preferences for personalized analytics and receive real-time alerts for deviations. The platform's user-friendly interface empowers different industries to make informed, data-driven decisions.
Major companies operating in the AI in the computer vision market are also focusing on the development of innovative solutions such as visual prompting technology. Visual prompting technology utilizes visual cues, images, or graphics to provide guidance, instruction, or assistance to users. Landing AI's introduction of 'Visual Prompting Capability' in April 2023 exemplifies this trend. This technology extends the text prompting framework to the domain of computer vision, enabling users to engage in visual conversations for the development of computer vision systems. Users can receive predictions within seconds and promptly label additional areas for enhanced recognition capabilities.
In March 2022, NVIDIA Corporation acquired Excelero for an undisclosed amount. This acquisition contributes to the expansion of block storage capabilities in NVIDIA Corporation's software stack, which encompasses clusters for powerful computing. Excelero is a machine learning, AI, and high-performance software-defined storage supplier, aligning with the AI in computer vision sector.
Major companies operating in the AI in computer vision market include Apple Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., Huawei Technologies Co. Ltd., Sony Corporation, Amazon Web Services Inc., General Electric Company, Intel Corporation, International Business Machines Corporation, Qualcomm Technologies Inc., Nvidia Corporation, Baidu Inc., Teledyne Technologies Inc., Xilinx Inc., Unity Software Inc., iRobot Corporation, SenseTime Group Ltd, Basler AG, Matterport Inc., Orbbec 3D Technology International Inc., ArcSoft Inc., Ultraleap Limited, ClarifAI inc., PerceptIn Inc, Occipital Inc., Irida Labs, Megvii Inc., Deep Vision AI inc., Xnor.AI inc.
North America was the largest region in the AI in computer vision market in 2024. Asia-Pacific is expected to be the highest-CAGR region in the forecast period. The regions covered in the ai in computer vision market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai in computer vision market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.
AI in computer vision is a branch of artificial intelligence (AI) that enables systems and computers to extract meaningful information from digital photos, videos, and other visual inputs. Subsequently, based on this knowledge, AI systems can take actions or provide recommendations. AI empowers computer vision to understand, recognize, and analyze visual inputs.
The main components of AI in computer vision are software and hardware. Software consists of instructions, data, or algorithms used to operate machines and perform tasks. Various functions include training and inference with different machine learning models such as supervised learning, unsupervised learning, and reinforcement learning. The applications span across industrial and non-industrial sectors, including automotive, consumer electronics, healthcare, agriculture, transportation and logistics, retail, security and surveillance, manufacturing, and others.
The AI in computer vision market research report is one of a series of new reports that provides AI in computer vision market statistics, including AI in computer vision industry global market size, regional shares, competitors with a AI in computer vision market share, detailed AI in computer vision market segments, market trends and opportunities, and any further data you may need to thrive in the AI in computer vision industry. This AI in computer vision market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI in computer vision market consists of revenues earned by entities by providing emotion recognition, face recognition, optical character recognition, image processing, object detection, and video analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in computer vision market also includes sales of cameras, optics, lighting, frame grabbers, and processors. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The AI in computer vision market size is expected to see exponential growth in the next few years. It will grow to $124.08 billion in 2029 at a compound annual growth rate (CAGR) of 30.8%. The growth in the forecast period can be attributed to rising need for quality inspection and automation, government initiatives to support industrial automation and the integration of artificial intelligence, growing demand for computer vision systems in non-traditional and developing industries, increasing investments in ai technology. Major trends in the forecast period include innovative solutions, technological advancements in ai and computer vision technologies, strategic collaborations, integration of ai and ml, technological advancements.
The increasing demand for computer vision technologies across various business sectors is expected to drive the growth of AI in the computer vision market in the future. Computer vision is utilized in agriculture for tasks such as plant detection, crop monitoring, and automatic weeding. In retail, it facilitates self-checkout and people counting, while in manufacturing, it supports autonomous driving and robotics. The rising need for these technologies, particularly in sectors like manufacturing, is fueled by AI advancements, enabling systems to identify and categorize a wider range of objects. For example, in October 2023, the International Federation of Robotics, a Germany-based professional non-profit organization, reported that in 2022, the sale of service robots for professional use reached 158,000 units, representing a 48% increase. As companies increasingly adopt automation to address staffing shortages, the demand for computer vision technologies continues to grow, driving the AI in the computer vision market forward.
The surge in demand for automation is another factor expected to drive the growth of the AI in the computer vision market. Automation involves leveraging technology, machinery, or systems to execute tasks with minimal human intervention. AI in computer vision contributes to automation by enabling machines to interpret and respond to visual information, thereby enhancing efficiency and reducing the need for manual intervention. An illustrative statistic from CompTIA, Inc. in January 2023 projects AI expenditure within the retail sector to reach $20.05 billion by 2026, reflecting a compounded annual growth rate of 39% from 2019. The anticipation of 80% of retail executives implementing AI-driven intelligent automation in their companies by 2027 further underscores the rising demand for automation, influencing the AI in the computer vision market.
Major companies in the AI in the computer vision market are focusing on innovative developments, such as real-time analytics aimed at providing immediate alerts for anomalies. Real-time analytics involves analyzing data as it is generated, enabling quick insights and decision-making. For instance, in February 2024, Assert AI, an India-based software development company, launched Pratham, a platform designed to simplify video analytics for users across multiple industries. This no-code computer vision platform allows users to analyze video feeds without needing to write code. It supports various applications, including footfall tracking, production line monitoring, and anomaly detection. Users can customize their preferences for personalized analytics and receive real-time alerts for deviations. The platform's user-friendly interface empowers different industries to make informed, data-driven decisions.
Major companies operating in the AI in the computer vision market are also focusing on the development of innovative solutions such as visual prompting technology. Visual prompting technology utilizes visual cues, images, or graphics to provide guidance, instruction, or assistance to users. Landing AI's introduction of 'Visual Prompting Capability' in April 2023 exemplifies this trend. This technology extends the text prompting framework to the domain of computer vision, enabling users to engage in visual conversations for the development of computer vision systems. Users can receive predictions within seconds and promptly label additional areas for enhanced recognition capabilities.
In March 2022, NVIDIA Corporation acquired Excelero for an undisclosed amount. This acquisition contributes to the expansion of block storage capabilities in NVIDIA Corporation's software stack, which encompasses clusters for powerful computing. Excelero is a machine learning, AI, and high-performance software-defined storage supplier, aligning with the AI in computer vision sector.
Major companies operating in the AI in computer vision market include Apple Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., Huawei Technologies Co. Ltd., Sony Corporation, Amazon Web Services Inc., General Electric Company, Intel Corporation, International Business Machines Corporation, Qualcomm Technologies Inc., Nvidia Corporation, Baidu Inc., Teledyne Technologies Inc., Xilinx Inc., Unity Software Inc., iRobot Corporation, SenseTime Group Ltd, Basler AG, Matterport Inc., Orbbec 3D Technology International Inc., ArcSoft Inc., Ultraleap Limited, ClarifAI inc., PerceptIn Inc, Occipital Inc., Irida Labs, Megvii Inc., Deep Vision AI inc., Xnor.AI inc.
North America was the largest region in the AI in computer vision market in 2024. Asia-Pacific is expected to be the highest-CAGR region in the forecast period. The regions covered in the ai in computer vision market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai in computer vision market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.
AI in computer vision is a branch of artificial intelligence (AI) that enables systems and computers to extract meaningful information from digital photos, videos, and other visual inputs. Subsequently, based on this knowledge, AI systems can take actions or provide recommendations. AI empowers computer vision to understand, recognize, and analyze visual inputs.
The main components of AI in computer vision are software and hardware. Software consists of instructions, data, or algorithms used to operate machines and perform tasks. Various functions include training and inference with different machine learning models such as supervised learning, unsupervised learning, and reinforcement learning. The applications span across industrial and non-industrial sectors, including automotive, consumer electronics, healthcare, agriculture, transportation and logistics, retail, security and surveillance, manufacturing, and others.
The AI in computer vision market research report is one of a series of new reports that provides AI in computer vision market statistics, including AI in computer vision industry global market size, regional shares, competitors with a AI in computer vision market share, detailed AI in computer vision market segments, market trends and opportunities, and any further data you may need to thrive in the AI in computer vision industry. This AI in computer vision market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI in computer vision market consists of revenues earned by entities by providing emotion recognition, face recognition, optical character recognition, image processing, object detection, and video analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in computer vision market also includes sales of cameras, optics, lighting, frame grabbers, and processors. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. AI in Computer Vision Market Characteristics3. AI in Computer Vision Market Trends and Strategies4. AI in Computer Vision Market - Macro Economic Scenario including the impact of Interest Rates, Inflation, Geopolitics and Covid and Recovery on the Market32. Global AI in Computer Vision Market Competitive Benchmarking and Dashboard33. Key Mergers and Acquisitions in the AI in Computer Vision Market34. Recent Developments in the AI in Computer Vision Market
5. Global AI in Computer Vision Growth Analysis and Strategic Analysis Framework
6. AI in Computer Vision Market Segmentation
7. AI in Computer Vision Market Regional and Country Analysis
8. Asia-Pacific AI in Computer Vision Market
9. China AI in Computer Vision Market
10. India AI in Computer Vision Market
11. Japan AI in Computer Vision Market
12. Australia AI in Computer Vision Market
13. Indonesia AI in Computer Vision Market
14. South Korea AI in Computer Vision Market
15. Western Europe AI in Computer Vision Market
16. UK AI in Computer Vision Market
17. Germany AI in Computer Vision Market
18. France AI in Computer Vision Market
19. Italy AI in Computer Vision Market
20. Spain AI in Computer Vision Market
21. Eastern Europe AI in Computer Vision Market
22. Russia AI in Computer Vision Market
23. North America AI in Computer Vision Market
24. USA AI in Computer Vision Market
25. Canada AI in Computer Vision Market
26. South America AI in Computer Vision Market
27. Brazil AI in Computer Vision Market
28. Middle East AI in Computer Vision Market
29. Africa AI in Computer Vision Market
30. AI in Computer Vision Market Competitive Landscape and Company Profiles
31. AI in Computer Vision Market Other Major and Innovative Companies
35. AI in Computer Vision Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
AI in Computer Vision Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on ai in computer vision market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for ai in computer vision? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in computer vision market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Component: Software; Hardware2) By Function: Training; Interference
3) By Machine Learning Model: Supervised Learning; Unsupervised Learning; Reinforcement Learning
4) By Application: Industrial; Non-Industrial
5) By End User: Automotive; Consumer Electronics; Healthcare; Agriculture; Transportation and Logistics; Retail; Security and Surveillance; Manufacturing; Other End Users
Subsegments:
1) By Software: Image Recognition Software; Video Analytics Software; Machine Learning Frameworks; Development Tools and SDKs2) By Hardware: Cameras and Sensors; GPUs (Graphics Processing Units); FPGAs (Field-Programmable Gate Arrays); Edge Devices
Key Companies Mentioned: Apple Inc.; Google LLC; Microsoft Corporation; Meta Platforms Inc.; Huawei Technologies Co. Ltd.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- Apple Inc.
- Google LLC
- Microsoft Corporation
- Meta Platforms Inc.
- Huawei Technologies Co. Ltd.
- Sony Corporation
- Amazon Web Services Inc.
- General Electric Company
- Intel Corporation
- International Business Machines Corporation
- Qualcomm Technologies Inc.
- Nvidia Corporation
- Baidu Inc.
- Teledyne Technologies Inc.
- Xilinx Inc.
- Unity Software Inc.
- iRobot Corporation
- SenseTime Group Ltd
- Basler AG
- Matterport Inc.
- Orbbec 3D Technology International Inc.
- ArcSoft Inc.
- Ultraleap Limited
- Clarifai Inc.
- PerceptIn Inc
- Occipital Inc.
- Irida Labs
- Megvii Inc.
- Deep Vision AI Inc.
- Xnor.ai Inc.
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 200 |
Published | February 2025 |
Forecast Period | 2025 - 2029 |
Estimated Market Value ( USD | $ 42.44 Billion |
Forecasted Market Value ( USD | $ 124.08 Billion |
Compound Annual Growth Rate | 30.8% |
Regions Covered | Global |
No. of Companies Mentioned | 30 |