• Cat-intel
  • MedIntelliX
  • Resources
  • About Us
  • Request Free Sample ×

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor
    Hero Background

    AI In Computer Vision Market

    ID: MRFR/ICT/5209-CR
    200 Pages
    Aarti Dhapte
    July 2025

    AI in Computer Vision Market Research Report By Application (Healthcare, Automotive, Retail, Manufacturing, Security), By Technology (Deep Learning, Machine Learning, Image Processing, Pattern Recognition), By Component (Hardware, Software, Services), By End Use (Consumer Electronics, Industrial, Aerospace and Defense, Transportation) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    AI In Computer Vision Market Infographic
    Purchase Options

    AI In Computer Vision Market Summary

    As per MRFR analysis, the AI in Computer Vision Market Size was estimated at 23.01 USD Billion in 2024. The AI in Computer Vision industry is projected to grow from 31.28 USD Billion in 2025 to 674.23 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 35.94 during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    <p>The AI in Computer Vision Market is experiencing robust growth driven by technological advancements and increasing applications across various sectors.</p>

    • The integration of AI in computer vision with IoT devices is becoming increasingly prevalent, particularly in North America.
    • Advancements in deep learning technologies are propelling the market forward, with healthcare applications leading the way.
    • The demand for automation is rising, especially in the automotive sector, which is currently the fastest-growing segment.
    • Key market drivers include the surge in e-commerce and the integration of AI with robotics, enhancing security solutions across industries.

    Market Size & Forecast

    2024 Market Size 23.01 (USD Billion)
    2035 Market Size 674.23 (USD Billion)
    CAGR (2025 - 2035) 35.94%

    Major Players

    NVIDIA (US), Intel (US), Google (US), Microsoft (US), Amazon (US), IBM (US), Qualcomm (US), Apple (US), Samsung (KR), Siemens (DE)

    AI In Computer Vision Market Trends

    The AI in Computer Vision Market is currently experiencing a transformative phase, characterized by rapid advancements in technology and increasing adoption across various sectors. Organizations are increasingly leveraging artificial intelligence to enhance image processing capabilities, enabling more accurate analysis and interpretation of visual data. This trend is particularly evident in industries such as healthcare, automotive, and retail, where computer vision applications are being integrated into existing systems to improve efficiency and decision-making processes. As the demand for automation and intelligent systems grows, the market is likely to expand further, driven by innovations in deep learning and neural networks. Moreover, the proliferation of smart devices and the Internet of Things (IoT) is contributing to the expansion of the AI in Computer Vision Market. With more devices equipped with cameras and sensors, the volume of visual data generated is increasing exponentially. This surge presents both challenges and opportunities for organizations seeking to harness this data for actionable insights. Consequently, companies are investing in advanced algorithms and machine learning techniques to process and analyze visual information effectively. The future of this market appears promising, with ongoing research and development efforts aimed at enhancing the capabilities of computer vision technologies, potentially leading to new applications and improved user experiences.

    Integration with IoT Devices

    The convergence of AI in Computer Vision with IoT devices is becoming increasingly prevalent. As more devices are equipped with visual sensors, the ability to analyze and interpret data in real-time is enhancing operational efficiency across various sectors. This integration allows for smarter decision-making and improved automation.

    Advancements in Deep Learning

    Recent developments in deep learning techniques are significantly impacting the AI in Computer Vision Market. These advancements enable more sophisticated image recognition and processing capabilities, which are essential for applications in fields such as security, healthcare, and autonomous vehicles.

    Growing Demand for Automation

    There is a rising demand for automation solutions across industries, which is driving the adoption of AI in Computer Vision technologies. Organizations are increasingly seeking to automate visual inspection processes, quality control, and data analysis, thereby enhancing productivity and reducing human error.

    The integration of artificial intelligence in computer vision is poised to revolutionize various sectors, enhancing operational efficiency and enabling unprecedented levels of automation and data analysis.

    U.S. Department of Commerce

    AI In Computer Vision Market Drivers

    Surge in E-commerce

    The rapid expansion of e-commerce platforms is significantly influencing the AI in Computer Vision Market. As online shopping continues to gain traction, retailers are increasingly adopting computer vision technologies to enhance customer experiences. For example, visual search capabilities allow consumers to find products using images, thereby streamlining the shopping process. Market data suggests that the e-commerce sector is anticipated to reach a valuation of several trillion dollars in the next few years. This growth presents a substantial opportunity for AI in Computer Vision Market, as businesses seek to leverage visual analytics for inventory management, personalized marketing, and improved customer engagement. Consequently, the demand for innovative computer vision solutions is likely to rise, further propelling the market forward.

    Healthcare Applications

    The application of AI in Computer Vision Market within the healthcare sector is witnessing remarkable growth. Computer vision technologies are being utilized for medical imaging, diagnostics, and patient monitoring, enhancing the accuracy and efficiency of healthcare services. For instance, AI algorithms can analyze medical images to detect anomalies, such as tumors, with a high degree of precision. The healthcare AI market is projected to grow significantly, with estimates suggesting a potential market size exceeding 100 billion dollars by the end of the decade. This trend indicates a robust demand for computer vision solutions that can assist healthcare professionals in making informed decisions. As the healthcare industry continues to embrace digital transformation, the integration of AI in Computer Vision Market is expected to be a key driver of innovation and improved patient outcomes.

    Integration with Robotics

    The integration of AI in Computer Vision Market with robotics is becoming increasingly prevalent. This synergy enhances the capabilities of robots, allowing them to perceive and interact with their environment more effectively. For instance, the use of computer vision in robotic arms enables precise manipulation of objects, which is crucial in manufacturing and assembly lines. According to recent estimates, the robotics sector is projected to grow at a compound annual growth rate of over 20 percent in the coming years. This growth is likely to drive demand for advanced computer vision technologies, as robots require sophisticated visual processing to operate autonomously and efficiently. As industries seek to optimize operations, the integration of AI in Computer Vision Market with robotics is expected to play a pivotal role in shaping the future of automation.

    Enhanced Security Solutions

    The increasing need for enhanced security measures is driving the AI in Computer Vision Market. Organizations across various sectors are adopting computer vision technologies for surveillance, access control, and threat detection. These systems utilize advanced algorithms to analyze video feeds in real-time, identifying suspicious activities and potential security breaches. The AI in Computer Vision is projected to grow substantially, with investments in AI-driven surveillance systems expected to rise significantly. This trend suggests that businesses and governments are prioritizing safety and security, leading to a heightened demand for computer vision solutions. As a result, the AI in Computer Vision Market is likely to experience accelerated growth, as organizations seek to implement cutting-edge technologies to safeguard their assets and personnel.

    Automotive Industry Innovations

    The automotive industry is undergoing a transformation, with AI in Computer Vision Market playing a crucial role in this evolution. Advanced driver-assistance systems (ADAS) rely heavily on computer vision technologies to enhance vehicle safety and automation. Features such as lane detection, pedestrian recognition, and adaptive cruise control are becoming standard in modern vehicles. The automotive sector is projected to invest billions in AI and computer vision technologies over the next decade, indicating a strong commitment to innovation. This investment is likely to drive advancements in autonomous driving capabilities, as vehicles increasingly rely on visual data to navigate complex environments. Consequently, the AI in Computer Vision Market is expected to thrive as automotive manufacturers seek to integrate sophisticated visual processing systems into their offerings.

    Market Segment Insights

    By By Application: Healthcare (Largest) vs. Automotive (Fastest-Growing)

    The application segment in the AI in Computer Vision Market exhibits substantial variations in market share among healthcare, automotive, retail, manufacturing, and security. Healthcare currently commands the largest segment, driven by a surge in AI adoption for diagnostics, patient monitoring, and imaging analysis. In contrast, automotive is emerging as the fastest-growing area, fueled by advancements in autonomous vehicles and enhanced driver assistance technologies. This diverse distribution indicates the unique value propositions of AI technologies across different industries.

    Healthcare (Dominant) vs. Automotive (Emerging)

    Healthcare is a dominant application in the AI in Computer Vision Market, leveraging AI for advanced imaging techniques and diagnostic applications that enhance patient care and operational efficiency. The reliance on accurate visual data analysis in medical fields boosts its dominance when compared to other sectors. Conversely, the automotive sector is rapidly emerging with AI-driven innovations in areas like self-driving and advanced safety features. This growth is underpinned by the increasing demand for smart vehicles and the push towards safer transportation solutions which reflects a significant transformation in the automotive market.

    By By Technology: Deep Learning (Largest) vs. Machine Learning (Fastest-Growing)

    Within the AI in Computer Vision Market, Deep Learning emerges as the largest segment, dominating the space due to its superior capabilities in image classification, object detection, and visual recognition tasks. Following closely is Machine Learning, which, while slightly trailing in market share, is recognized for its rapid advancements and increasing adoption in various applications including autonomous vehicles and healthcare diagnostics.

    Technology: Deep Learning (Dominant) vs. Machine Learning (Emerging)

    Deep Learning is characterized by its ability to process vast amounts of visual data through neural networks, delivering exceptional accuracy and performance in recognizing patterns. Its dominance in the AI in Computer Vision Market stems from its extensive applications in sectors like security surveillance and medical imaging. On the other hand, Machine Learning, though currently positioned as an emerging segment, is witnessing explosive growth driven by the increasing prevalence of data-driven decision-making across industries. Its flexibility and ability to integrate with existing systems make it a highly sought-after technology, bridging the gap between traditional computer vision methods and modern AI-driven approaches.

    By By Component: Hardware (Largest) vs. Software (Fastest-Growing)

    The AI in Computer Vision Market exhibits a diverse distribution among its component segments, with hardware leading the way as the largest contributor. Hardware encompasses various technologies such as cameras, sensors, and processors, which play a crucial role in supporting AI algorithms for image processing and analysis. On the other hand, software applications are rapidly gaining traction, driven by advancements in machine learning and neural networks, which enable more intelligent analysis of visual data and enhance overall system capabilities. The growth trends within this segment indicate that while hardware continues to maintain its dominant position, the software segment is emerging as the fastest-growing area. This proliferation is propelled by increased demand for sophisticated AI software tools that can leverage big data for real-time computer vision applications. Additionally, the rise in automation and the need for intelligent systems across various industries further fuels the expansion of software solutions, marking a significant shift in the market landscape.

    Hardware: Cameras (Dominant) vs. Software: Machine Learning Algorithms (Emerging)

    In the AI in Computer Vision Market, hardware components such as cameras and sensors are identified as the dominant force due to their essential role in data capture and real-time processing. Cameras equipped with high-resolution imaging capabilities are foundational for effective AI-driven visual analysis. Conversely, machine learning algorithms represent the emerging trend in software, as they enable systems to learn from data and improve over time without explicit programming. The synergy between robust hardware and intelligent software solutions is critical to advancing applications in sectors like healthcare, automotive, and surveillance, creating a comprehensive ecosystem that enhances performance and efficiency in artificial intelligence tasks.

    By By End Use: Consumer Electronics (Largest) vs. Industrial (Fastest-Growing)

    The AI in Computer Vision Market continues to show diverse growth across different end-use segments. Consumer Electronics represents the largest portion of the market, driven by increasing demand for smart devices equipped with advanced image recognition capabilities. This wide deployment in personal and home use ensures a significant market share, although growth is beginning to stabilize as the market matures. In contrast, the Industrial segment is rapidly gaining traction, fueled by the adoption of AI technologies for automation, quality control, and safety enhancements within manufacturing processes. This increasing emphasis on efficiency in operations is likely propelling growth in this area.

    Consumer Electronics: Dominant vs. Industrial: Emerging

    Within the AI in Computer Vision Market, Consumer Electronics is positioned as the dominant segment, leveraging immense consumer demand for smart devices such as smartphones, cameras, and home automation systems. This segment continues to innovate rapidly, integrating AI to enhance features like facial recognition and augmented reality applications. On the other hand, the Industrial segment stands out as an emerging powerhouse, as industries transition towards AI-driven solutions. Applications in robotics, manufacturing inspections, and predictive maintenance underline its growth trajectory. The use of AI in computer vision within industrial settings not only increases productivity but also mitigates risks, making it a focal point for investment and technological advancement.

    Get more detailed insights about AI In Computer Vision Market

    Regional Insights

    The AI in Computer Vision Market exhibits a robust progression across various regions, showcasing significant revenues that underscore the market's health and growth potential. In 2024, North America holds a majority share valued at 5.0 USD Billion, projected to rise to 24.47 USD Billion by 2035, highlighting its leading role, largely driven by extensive investments in technology and innovation.

    Europe follows with a valuation of 3.5 USD Billion in 2024, expanding to 15.57 USD Billion by 2035, attributed to increasing demand for smart manufacturing solutions.The Asia Pacific region, valued at 4.0 USD Billion in 2024, is expected to reach 21.97 USD Billion in 2035, supported by rapid urbanization and growing industrial applications.

    Despite a smaller share, South America and the Middle East and Africa are also making strides, with values of 1.0 USD Billion and 0.59 USD Billion in 2024, respectively, forecasted to grow to 4.66 USD Billion and 3.33 USD Billion by 2035, reflecting emerging opportunities in these areas. Overall, the AI in Computer Vision Market segmentation by region reveals a landscape where North America and Asia Pacific dominate due to technological advancements and market innovations, while Europe also establishes a significant presence through its focus on industrial applications and automation, ultimately driving the overall market growth trajectory.

    AI in Computer Vision Market Regional Insights

    Source: Primary Research, Secondary Research, Market Research Future Database and Analyst Review

    Key Players and Competitive Insights

    The AI in Computer Vision Market is rapidly evolving as organizations leverage advanced algorithms and machine learning techniques to interpret and analyze visual data. This sector is characterized by a broad spectrum of applications, including object detection, facial recognition, image segmentation, and autonomous driving, making it a hotbed of innovation and competition. The dynamic landscape is marked by the emergence of new players, established companies enhancing their technological capabilities through research and development, and increasing investment from both public and private sectors.

    As companies strive to differentiate themselves, understanding the competitive landscape becomes essential for identifying trends, opportunities, and potential threats within the market. Cortexica stands out in the AI in Computer Vision Market due to its robust portfolio focused on visual search and image recognition technologies. The company has developed innovative solutions that enhance user experience in e-commerce and retail by providing visual search capabilities that allow consumers to find products through images. Cortexica has established a strong global presence with strategic partnerships that enhance its capabilities and expand its reach in diverse industries.

    The strength of Cortexica lies in its deep learning algorithms, which provide greater accuracy and faster processing times compared to traditional methods, making it a preferred choice for businesses looking to integrate AI-powered computer vision technologies. Additionally, the company’s commitment to tailoring its offerings to meet the specific needs of various sectors gives it a competitive edge in a diverse and rapidly changing market.OpenAI is another significant player in the AI in Computer Vision Market, primarily known for its groundbreaking work in artificial intelligence.

    The company has developed a range of advanced models that can analyze and generate visual content, enhancing various applications such as image recognition and manipulation. OpenAI's strengths lie in its cutting-edge research and strong emphasis on ethical AI, making it a trusted player among enterprises seeking reliable solutions. The global market presence of OpenAI is strengthened by collaborations with various industry leaders and an array of strategic partnerships aimed at enhancing its technological offerings.

    Key products such as DALL-E and CLIP have positioned OpenAI at the forefront of the market, offering advanced capabilities for generating images from textual descriptions and understanding images and text together. Additionally, OpenAI has actively engaged in mergers and acquisitions, further bolstering its technological expertise and market position, thus enhancing its impact within the AI in Computer Vision Market landscape.

    Key Companies in the AI In Computer Vision Market market include

    Industry Developments

    Recent developments in the AI in Computer Vision Market include significant advancements and strategic initiatives by leading firms. In October 2023, NVIDIA announced the launch of a new AI-based computer vision framework, enhancing real-time object detection capabilities for various applications in industries like retail and healthcare. In September 2023, OpenAI rolled out an update to its visual recognition models that improved accuracy in identifying objects in complex scenes. Additionally, in August 2023, Microsoft revealed a partnership with Facebook to integrate AI visual tools into their platforms, aimed at streamlining content moderation processes across social media.

    Mergers and acquisitions have also shaped the market landscape, notably in July 2023 when Samsung acquired an AI vision technology company to bolster its hardware offerings. Similar trends were seen in May 2023, when Adobe completed an acquisition of a startup focused on AI-driven image processing, which is expected to enhance their creative cloud solutions. The AI in Computer Vision Market is projected to experience significant growth, with increasing investments from tech giants such as Amazon and Google in innovative vision technologies, driving the market's expansion and application across diverse sectors globally.

    Future Outlook

    AI In Computer Vision Market Future Outlook

    The AI in Computer Vision Market is projected to grow at a 15.69% CAGR from 2025 to 2035, driven by advancements in deep learning, increased demand for automation, and enhanced image processing technologies.

    New opportunities lie in:

    • Develop AI-driven solutions for real-time surveillance in urban areas.
    • Create specialized computer vision applications for healthcare diagnostics.
    • Leverage AI in autonomous vehicles for improved navigation and safety.

    By 2035, the market is expected to reach unprecedented heights, solidifying its role in various industries.

    Market Segmentation

    AI in Computer Vision Market End Use Outlook

    • Consumer Electronics
    • Industrial
    • Aerospace and Defense
    • Transportation

    AI in Computer Vision Market Regional Outlook

    • North America
    • Europe
    • South America
    • Asia Pacific
    • Middle East and Africa

    AI in Computer Vision Market Component Outlook

    • Hardware
    • Software
    • Services

    AI in Computer Vision Market Technology Outlook

    • Deep Learning
    • Machine Learning
    • Image Processing
    • Pattern Recognition

    AI in Computer Vision Market Application Outlook

    • Healthcare
    • Automotive
    • Retail
    • Manufacturing
    • Security

    Report Scope

    Report Attribute/Metric

    Details

    Market Size 2024

    14.09(USD Billion)

    Market Size 2035

    674.23 (USD Billion)

    Compound Annual Growth Rate (CAGR)

    35.94% (2025 - 2035)

    Report Coverage

    Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

    Base Year

    2024

    Market Forecast Period

    2025 - 2035

    Historical Data

    2019 - 2024

    Market Forecast Units

    USD Billion

    Key Companies Profiled

    Cortexica, OpenAI, Samsung, NVIDIA, Microsoft, Facebook, IBM, Adobe, Alibaba, Google, Intel, Siemens, Clarifai, Amazon, Qualcomm

    Segments Covered

    Application, Technology, Component, End Use, Regional

    Key Market Opportunities

    Smart surveillance systems, Autonomous vehicle navigation, Healthcare imaging analysis, Augmented reality applications, Retail analytics solutions

    Key Market Dynamics

    Rapid technological advancements, Growing demand for automation, Increasing applications across industries, Rising need for real-time data analysis, Expansion of AI research funding

    Countries Covered

    North America, Europe, APAC, South America, MEA

    Market Size 2025 31.28 (USD Billion)



    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

    Leave a Comment

    FAQs

    What was the market size of the AI in Computer Vision Market in 2024?

    The AI in Computer Vision Market was valued at 14.09 USD Billion in 2024.

    What will be the market value of the AI in Computer Vision Market by 2035?

    The market is projected to reach 70.0 USD Billion by the year 2035.

    What is the expected compound annual growth rate (CAGR) for the AI in Computer Vision Market from 2025 to 2035?

    The expected CAGR for the AI in Computer Vision Market is 15.69 % between 2025 and 2035.

    Which region had the largest market share in 2024?

    North America held the largest market share at 5.0 USD Billion in 2024.

    What is the projected market size for the Asia Pacific region in 2035?

    The projected market size for the Asia Pacific region is expected to be 21.97 USD Billion by 2035.

    Who are the major players in the AI in Computer Vision Market?

    Key players include Cortexica, OpenAI, Samsung, NVIDIA, Microsoft, Facebook, IBM, Adobe, Alibaba, Google, Intel, Siemens, Clarifai, Amazon, and Qualcomm.

    What are the market sizes for the healthcare application segment in 2024 and 2035?

    The healthcare application segment is valued at 3.67 USD Billion in 2024 and projected to reach 18.3 USD Billion in 2035.

    What is the expected market size for the automotive sector by 2035?

    The automotive sector is expected to reach a market size of 13.82 USD Billion by 2035.

    What challenges are currently impacting the growth of the AI in Computer Vision Market?

    Challenges include technological integration, data privacy concerns, and competition from emerging technologies.

    What trends are being observed in the AI in Computer Vision Market?

    Emerging trends include increased adoption in healthcare, improved accuracy, automation, and enhanced real-time processing.

    Download Free Sample

    Kindly complete the form below to receive a free sample of this Report

    Case Study
    Chemicals and Materials

    Compare Licence

    ×
    Features License Type
    Single User Multiuser License Enterprise User
    Price $4,950 $5,950 $7,250
    Maximum User Access Limit 1 User Upto 10 Users Unrestricted Access Throughout the Organization
    Free Customization
    Direct Access to Analyst
    Deliverable Format
    Platform Access
    Discount on Next Purchase 10% 15% 15%
    Printable Versions