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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


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

AI In Computer Vision Market Summary

As per MRFR analysis, the AI in Computer Vision Market Size was estimated at 12.18 (USD Billion) in 2023.The AI in Computer Vision Market Industry is expected to grow from 14.09(USD Billion) in 2024 to 70 (USD Billion) by 2035. The AI in Computer Vision Market CAGR (growth rate) is expected to be around 15.69% during the forecast period (2025 - 2035). The market is driven by the increasing adoption of AI technologies across various sectors, including healthcare, automotive, and manufacturing, enhancing operational efficiency and decision-making capabilities.

Key Market Trends & Highlights

The AI in Computer Vision Market is experiencing transformative trends fueled by technological advancements.

  • Market size in 2024: 14.09 USD Billion; expected to grow to 70 USD Billion by 2035.
  • Healthcare application leads with a valuation of 3.25 USD Billion in 2024, projected to reach 16.25 USD Billion by 2035.
  • Automotive sector valuation in 2024: 2.5 USD Billion; expected to grow to 12.5 USD Billion by 2035.
  • R&D investment in AI reached approximately USD 35 billion in 2022, indicating strong commitment to innovation.

Market Size & Forecast

2023 Market Size: USD 12.18 Billion
2024 Market Size: USD 14.09 Billion
2035 Market Size: USD 70 Billion
CAGR (2025-2035): 15.69%
Largest Regional Market Share in 2024: North America.

Major Players

Key players include Amazon, IBM, NVIDIA, Google, Apple, Zebra Medical Vision, Intel, Microsoft, OpenAI, Qualcomm, Facebook, CognitiveScale, Clarifai, Vision.ai, Oracle.

Key AI in Computer Vision Market Trends Highlighted


The AI in Computer Vision Market is seeing major market trends, which are being driven by an increase in demand for automation across numerous sectors. The combination of AI with computer vision technologies is primarily driven by advances in machine learning algorithms and the increasing availability of high-quality image data. As industries such as healthcare, automotive, and manufacturing adopt these technologies, the ability to efficiently evaluate large volumes of visual data becomes increasingly important. Key market drivers include the demand for improved picture identification accuracy, real-time processing, and cost savings from manual labor.

There are several opportunities to pursue in industries such as retail, where computer vision may improve consumer experience through tailored services and inventory management. Furthermore, the government's push for digital transformation in different areas encourages the use of AI technology in public services and urban planning, therefore increasing operational efficiency and boosting citizen services. Consumers and regulatory agencies expect responsible use of technology, and recent trends show an increasing focus on ethical AI and data protection. This has resulted in greater investment in creating transparent AI systems that promote justice and accountability.

Furthermore, continuous advances in edge computing allow for real-time data processing without the requirement for continual internet access, broadening the possibilities of AI in computer vision. Overall, the global market provides a dynamic landscape with revolutionary potential across numerous industries, driven by ongoing technical advancements and supporting governmental frameworks.


Global AI in Computer Vision Market Overview


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


AI in Computer Vision Market Drivers


Growing Demand for Automation in Various Industries


The AI in Computer Vision Market Industry is experiencing significant growth due to the increasing demand for automation in industries such as manufacturing, retail, and healthcare. According to a report published by the World Economic Forum, automation could displace 75 million jobs while also creating 133 million new roles by 2022. This shift towards automation necessitates advanced technologies, including AI in computer vision, to improve operational efficiencies.

Companies like Amazon and Tesla are leading the way by integrating computer vision technologies into their logistics and autonomous driving systems, respectively. This trend highlights the necessity for AI-driven solutions in managing and executing tasks with precision and speed, compelling organizations across sectors to invest heavily in AI technologies, thereby enhancing growth prospects within the AI in Computer Vision Market Industry.


Increase in Investment for Research and Development


Investment in Research and Development (R&D) within the AI in Computer Vision Market Industry is on the rise, driven by both private and public entities. The U.S. government reported a 14% increase in federal funding for AI research initiatives from 2020 to 2021, showcasing a broader commitment to technological innovation. Major firms like Google and Facebook are also dedicating substantial resources to expand their AI capabilities. This surge in investments highlights the recognition of computer vision as a critical enabling technology across multiple sectors, including security and surveillance, driving the potential for faster advancements in the market.


Surge in Demand for Advanced Surveillance Systems


The AI in Computer Vision Market Industry is witnessing a notable increase in demand for advanced surveillance systems, particularly in urban areas. According to a report by the European Union Agency for Cybersecurity, cities are investing roughly 50% more in surveillance technology compared to previous years, driven by the need for enhanced security measures. This includes AI-based facial recognition and behavioral analysis systems. Companies like Hikvision and Dahua Technology are leading the charge with innovative solutions that incorporate computer vision technologies.

The growing urbanization and rising concerns regarding public safety necessitate effective surveillance solutions, thereby catalyzing growth in the AI in computer vision market.


AI in Computer Vision Market Segment Insights


AI in Computer Vision Market Application Insights  


The AI in Computer Vision Market is experiencing substantial growth driven by various applications across multiple sectors, with an overall valuation expected to reach 14.09 USD Billion in 2024 and 70.0 USD Billion by 2035. This growth is fueled by the increasing adoption of advanced technologies across industries, which enhance operational efficiency and improve decision-making processes. Within this market, distinct applications play a crucial role. In Healthcare, for instance, the market is valued at 3.67 USD Billion in 2024 and is projected to rise to 18.3 USD Billion in 2035, signifying a significant demand for AI solutions that can aid in diagnostics, treatment planning, and medical imaging analysis.

Similarly, the Automotive sector showcases a substantial valuation of 2.81 USD Billion in 2024, escalating to 13.82 USD Billion in 2035; the growing emphasis on autonomous driving systems and advanced driver-assistance systems is driving innovations here. The Retail application, valued at 2.36 USD Billion in 2024 and anticipated to climb to 11.68 USD Billion by 2035, highlights increasing reliance on AI for customer behavior analysis, inventory management, and enhancing customer experiences in stores. Manufacturing is also a key area, with a valuation of 3.16 USD Billion in 2024 and expected to reach 15.55 USD Billion in 2035, as AI-driven computer vision aids in quality control, predictive maintenance, and workflow optimization.

Lastly, the Security application, with an initial valuation of 2.09 USD Billion in 2024, growing to 10.65 USD Billion in 2035, indicates the vital role of AI in surveillance systems, threat detection, and enhancing public safety. Each of these segments reflects a significant aspect of the AI in Computer Vision Market revenue, underscoring not only the diverse application areas but also the growing recognition of computer vision technology as a catalyst for innovation across various industries. The AI in Computer Vision Market segmentation reveals clear trends, with healthcare and automotive showcasing the majority holding due to their transformative impact on society.

The ongoing advancements in AI technology provide both challenges and opportunities, as ensuring data privacy and managing the complexity of integrating AI systems into existing infrastructures remain persistent issues that stakeholders must address. Given the projected growth and segmentation insights, the AI in Computer Vision Market industry is poised for dynamic evolution in the coming years, fueled by advancements in machine learning algorithms, data analytics, and hardware capabilities.


AI in Computer Vision Market Application Insights


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


AI in Computer Vision Market Technology Insights  


The AI in Computer Vision Market is set to experience substantial growth, with a projected valuation of 14.09 USD Billion in 2024 and rising significantly to 70.0 USD Billion by 2035. The market growth is driven by advancements in technology that enable systems to interpret and understand visual data more effectively. Notable trends include increased adoption of Deep Learning techniques, which leverage vast amounts of data for improved accuracy and efficiency in visual recognition tasks. Machine Learning also plays a crucial role, allowing algorithms to learn from and make predictions based on data patterns, enhancing the capabilities of computer vision applications.

Image processing is pivotal in ensuring the quality and usability of visual information, thus boosting its relevance across various sectors such as retail, healthcare, and automotive. Pattern Recognition is equally significant, facilitating the identification of patterns and features in images that enable machines to perform tasks like facial recognition and object detection. The combination of these technologies positions the AI in Computer Vision Market to capitalize on the growing demand for automation and intelligent systems globally, providing numerous opportunities for innovation and application across industries.


AI in Computer Vision Market Component Insights  


The AI in Computer Vision Market achieved a valuation of 14.09 billion USD in 2024 and is forecasted to grow significantly to 70.0 billion USD by 2035, demonstrating a strong trajectory for market growth. The market is segmented into various components, including Hardware, Software, and Services, each playing a vital role in shaping the landscape of AI in computer vision applications. Hardware solutions, which often involve camera systems and processing units, are crucial for the implementation of computer vision technologies, providing the physical capacity for data collection and analysis.

On the other hand, Software dominates the market by enabling advanced algorithms and machine learning models, which enhance the capabilities of computers to interpret visual data effectively. Services also hold significant importance, offering tailored solutions and support, driving innovation and adoption across industries. As industries increasingly prioritize automation and data analysis, the demand for these components is expected to rise, creating abundant opportunities in this rapidly evolving market. Enhanced efficiency, public safety applications, and breakthroughs in various sectors fuel this market's growth, evidenced by increasing investments in Research and Development and advancements in technology, thereby showcasing robust AI in Computer Vision Market statistics and data.


AI in Computer Vision Market End Use Insights  


The AI in Computer Vision Market exhibits significant potential across varied end-use applications, with a projected value of 14.09 USD Billion by 2024. This market segmentation prominently features consumer electronics, industrial, aerospace and defense, and transportation. Consumer electronics remain crucial as advancements in smart devices and the demand for enhanced functionalities lead to increased adoption of AI technologies for image recognition and processing. In the industrial sector, AI-driven computer vision solutions improve quality control and production efficiency, driving growth in manufacturing processes.

The aerospace and defense industries leverage these technologies for surveillance and reconnaissance, demonstrating their importance in enhancing situational awareness and security. Moreover, the transportation sector utilizes AI in computer vision for autonomous vehicles and traffic management systems, which significantly bolsters safety and operational efficiency. Collectively, these segments are responding to market growth driven by technological advancements, increasing investments in Research and Development, and the urgency for automation across various industries.

The AI in Computer Vision Market statistics reveal that these sectors will continue to play a pivotal role in shaping the trajectory of the global economy.


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, MRFR Database and Analyst Review


AI in Computer Vision Market 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 Include



  • Cortexica

  • OpenAI

  • Samsung

  • NVIDIA

  • Microsoft

  • Facebook

  • IBM

  • Adobe

  • Alibaba

  • Google

  • Intel

  • Siemens

  • Clarifai

  • Amazon

  • Qualcomm


AI in Computer Vision Market 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.


AI in Computer Vision Market Segmentation Insights


AI in Computer Vision Market Application Outlook



  • Healthcare

  • Automotive

  • Retail

  • Manufacturing

  • Security


AI in Computer Vision Market Technology Outlook



  • Deep Learning

  • Machine Learning

  • Image Processing

  • Pattern Recognition


AI in Computer Vision Market Component Outlook



  • Hardware

  • Software

  • Services


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

Report Attribute/Metric Details
Market Size 2023 12.18(USD Billion)
Market Size 2024 14.09(USD Billion)
Market Size 2035 70.0(USD Billion)
Compound Annual Growth Rate (CAGR) 15.69% (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


Frequently Asked Questions (FAQ) :

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

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

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

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

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

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

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

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

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

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

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