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The AI in computer vision market size is projected to grow from USD 26.55 billion in 2024 to USD 473.98 billion by 2035, representing a CAGR of 29.95%, during the forecast period 2024-2035.
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The new research study consists of AI in computer vision market trends analysis, detailed computer vision industry forecast analysis, and providing actionable strategic recommendations.
With global digital transformation, artificial intelligence (AI) is being embraced across wide range of industries. Specifically, AI in computer vision systems enables computers and systems to retrieve meaningful information from digital images, videos, and other visual inputs and take actions or make references based on the retrieved information. Computer vision technology is heavily dependent on artificial intelligence and machine learning technologies.
The field is dedicated to automating and integrating the various processes and representations involved in visual information. It includes various methods like image processing (encoding, transforming, and transmitting images), and statistical pattern classification. Evolving real-time decision-making in image processing systems is now being supported by advanced technologies like adaptive AI, which improves with continuous feedback. Further, efficient execution of high-volume image data depends heavily on specialized AI chip architectures optimized for deep learning workloads.
The global AI in computer vision market size is anticipated to witness significant growth during the forecast period. Factors including a rise in demand for computer vision systems in automotive applications, increasing demand for emotion AI, and high demand for quality inspection and automation, are driving the AI vision market growth. Additionally, government’s active initiatives to boost the AI technology in vision systems development is creating more opportunities for the AI in computer vision industry.
The AI in computer vision market report presents an in-depth analysis of the various companies that are involved in offering AI in computer vision systems, across different segments, as defined in the table below:
| Key Report Attributes | Details | |
| Historical Trend | Since 2019 | |
| Forecast Period | 2024-2035 | |
| Market Size Value in 2024 | $ 26.55 Billion | |
| Market Size Value by 2035 | $ 473.98 Billion | |
| CAGR (Till 2035) | 29.95% | |
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| PowerPoint Presentation (Complimentary) |
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| Customization Scope | 15% Free Customization | |
| Excel Data Packs (Complimentary) |
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Based on the type of component, the global AI in computer vision market is split into hardware and software. Among these categories, the software segment is expected to gain over 60% market share. The prominent reason for this dominance is the important role software plays in providing tools necessary to analyze and visualize data. Several applications like AI frameworks, AI routines, video processing and many more are provided by the software, making it another prominent reason for its market growth. However, the hardware system segment is expected to expand with the highest CAGR till 2035 as hardware plays a prominent role in capturing data during computer vision applications.
The global AI in computer vision market is segmented into various types of functions, such as training and inference. According to our analysis, the training segment will augment the segment's growth with the largest market share as well as the highest CAGR in the AI in computer vision market. This can be attributed to the increasing demand for training data and rising advancements in the deep learning algorithms, further necessitating specific training to optimize outcomes. The fastest CAGR can be attributed to the increasing investments to create datasets by major tech companies to further enhances the accuracy and performance of their computer vision models.
The global AI in computer vision market is segmented into various types of machine learning models, such as supervised learning and unsupervised learning. According to our analysis, the supervised learning segment will dominate the machine learning in computer vision. This can be attributed to the model’s effectiveness in tasks such as image classification and detecting objects which otherwise require labelled datasets for training. The wide adoption of this model across various industries is fueling the market domination of this segment. On the other hand, the unsupervised learning model is expected to witness relatively higher CAGR of 32.65% in the forecasted period. This can be due to its ability to analyze and interpret data without the need for labeled inputs, making it particularly valuable in applications where acquiring labeled data is challenging.
The global AI in computer vision market is fragmented into two types of deployment such as cloud-based and on-premises. The on-premises segment is dominating the market during the forecasted period. This can be attributed to the accessibility, flexibility, scalability and cost-effectiveness offered by AI in computer vision systems. The increasing priority given to accessibility and efficiency by many businesses is also fueling the market growth of this segment. This is because cloud-based deployment allows businesses of all sizes access to advanced AI tools and technologies without large upfront investments in hardware and infrastructure.
Based on the areas of application, the AI in computer vision market is bifurcated into facial recognition, image classification, object detection, object tracking and others. As per our research, currently facial recognition segment is holding more than 35% market shares and will drive the segment growth until 2035. This can be attributed to facial recognition being a valuable tool for surveillance and security as it can identify individuals with high accuracy. Additionally, it can also help in discovering missing persons and capturing criminals by matching faces in video footage and databases of known criminals and missing persons. On the other hand, the object detection segment is expected to grow with the highest CAGR in the forecasted period. This can be ascribed to the crucial role it plays in security systems, enabling real-time image processing and identification of intruders, suspicious objects, and potential hazards.
Based on the type of products, the AI in computer vision market is bifurcated into PC-based computer vision system, smart camera-based computer vision system. As per our research, the smart camera-based computer vision system is projected to hold the majority of the market share during the forecasted period. This can be attributed to its widespread application in various industries including security, automotive, and healthcare. This segment also benefits from advancements in camera module technology and AI integration. However, the PC-based computer vision system is expected to grow with the highest CAGR in the forecasted period. This growth is driven by the increasing demand for powerful computing solutions that are equipped to handle complex algorithms and large datasets.
Based on the type of end-users, the AI in computer vision market is bifurcated into automotive, consumer electronics, healthcare, manufacturing, retail, security & surveillance, sports & entertainment and others. As per our research, the manufacturing segment is projected to hold about 27% market share and will drive the segment growth until 2035. This can be attributed to the sudden boom the manufacturing industry is experiencing in the AI computing vision sector, leading to the transformation of various processes and bringing significant benefits. Vision computing systems in manufacturing assist in inspecting products with precision for detecting defects such as scratches, cracks, or incorrect assembly parts. They also help in analyzing imagery and predicting potential failures. However, the healthcare segment is expected to grow with the relatively high CAGR of 33.67% in the forecasted period. This can be ascribed to the multiple advantages of AI in computer vision in healthcare to enhance patient care and medical practices being provided by these systems in healthcare. The benefits include improved diagnoses, streamlined workflows, identifying subtle abnormalities, providing more accurate and early diagnoses.
The global AI in computer vision market is fragmented into multiple types of enterprise namely large and small and medium enterprise. The large enterprise segment is anticipated to dominate the segment with the highest market share over this forecast period. However, small and medium enterprise segments are expected to witness the fastest growth rate until 2035. This is ascribable to their agility, innovation, focus on niche markets, and ability to adapt to changing customer preferences and market conditions.
This segment highlights the distribution of AI in Computer Vision across various geographical regions, such as North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our AI in computer vision outlook, Asia Pacific exhibits dominance in the market due to the numerous internet of things (IoT) deployments in the region. In addition to that the robust IT and telecom infrastructure throughout the region and the number of cloud and edge deployments are some of the other features fueling the market growth of computer vision systems.
The “AI in Computer Vision Market, Till-2035: Industry Trends and Global Forecasts” report features an extensive study of the current market landscape, market size and future opportunity within AI in computer vision market, during the given forecast period. The market report highlights the efforts of several stakeholders involved in this rapidly emerging segment of the service providers industry. Key takeaways of the AI in computer vision market report are briefly discussed below.
The technological advancements stimulating the innovation in computer vision as well as the increasing demand for computing systems in various industries will be profiting the market growth in the forecasted period. Rapid advances in AI algorithms, deep learning, and neural networks are exponentially increasing the capabilities of computer vision systems. Further, technological innovations are offering accurate and efficient image and video analysis, fueling the increasing adoption of AI in computer vision across a variety of industries.
It is interesting to note that computer vision is a core enabler of autonomous navigation, facilitating obstacle detection, path planning, and real-time environment interpretation. Moreover, the expansion of AI-powered computer vision applications such as healthcare, automotive, retail is increasing the demand for advanced computer vision solutions, further benefiting the market growth.
With the presence of several small and large AI in computer vision solutions manufacturing companies, the market is experiencing intense competition and changing market dynamics. From large multinational companies to local computer vision manufacturing players, companies are striving to enhance their competitive edge. In terms of market share, large enterprises and multinational companies are dominating the market. While small AI in computer vision manufacturing players are continuously improving their products to cater to niche markets, or they are offering specialized services. These industry players are focusing on adopting competitive strategies, such as developing innovative AI in computer vision solution techniques, forming strategic alliances and partnerships to expand their portfolios and global footprint, investing in recent developments and new feature launches to enhance their AI in computer vision solution offerings. For instance, in July 2024, Fitterfly, a healthtech company, collaborated with Google cloud to launch an AI feature for diabetic people which allows them track and analyze their meals effortlessly for nutrition planning.
Despite strong market growth projection, AI in computer vision market faces numerous challenges including high implementation costs and data privacy as well as security concerns. Notably, implementing AI in computer vision systems necessitates substantial initial investments in hardware, software, and integration services. Further, integrating AI in computer vision systems is a complex and intricate task which requires skilled professionals. This added cost also discourages businesses from adapting to these systems. Furthermore, collecting and analyzing large amounts of data raises serious privacy and security concerns. It should be ensured that the data is used ethically and compliantly with strict regulations which can be challenging. This can further restrain the growth of the market.
With respect to regional AI in computer vision market insights, Asia Pacific is likely to dominate the market for AI in computer vision systems. The dominance of this region can be attributed to the presence of significant market players such as OMRON Corporation and Sony Semiconductor in the region. Further, the high share is also attributed to the large amounts of investments being made by Chinese companies for computer vision technology.
Examples of key AI in computer vision device manufacturers involved in the AI in computer vision market (which have also been captured in this market report, arranged in alphabetical order) include Alphabet, Advanced Micro Devices, Amazon Web Services, Apple, Baumer Optronic, Basler, Baidu, Cognex, CEVA, Facebook, General Electric, Honeywell, Huawei, IBM, Intel, JAI A/S, KEYENCE, Matterport, MediaTek, Microsoft, National Instruments, NVIDIA, Omron, Qualcomm, Samsung, SenseTime, Sony, Teledyne Technologies, Texas Instruments, Tencent Holdings, Xilinx. This market report includes an easily searchable excel database of all the companies who have adopted AI in computer vision market.
The market report presents an in-depth analysis, highlighting the capabilities of various companies engaged in this domain, across different segments. Amongst other elements, the market report includes:
At Roots Analysis, we genuinely care about your success and understand that your business requirements are unique. While our AI in computer vision market research reports provide valuable insights, we recognize that they might not cover every aspect you need to make well-informed strategic decisions. To account for that, we offer 15% free report customization tailored to your specific needs. Whether you require additional quantitative analysis, qualitative insights, or any other information related to the AI in computer vision market, reach out us today at: support@rootsanalysis.com