info@marketresearchfuture.com   📞 +1 (855) 661-4441(US)   📞 +44 1720 412 167(UK)   📞 +91 2269738890(APAC)
Certified Global Research Member
Isomar 1 Iso 1
Key Questions Answered
  • Global Market Outlook
  • In-depth analysis of global and regional trends
  • Analyze and identify the major players in the market, their market share, key developments, etc.
  • To understand the capability of the major players based on products offered, financials, and strategies.
  • Identify disrupting products, companies, and trends.
  • To identify opportunities in the market.
  • Analyze the key challenges in the market.
  • Analyze the regional penetration of players, products, and services in the market.
  • Comparison of major players financial performance.
  • Evaluate strategies adopted by major players.
  • Recommendations
Why Choose Market Research Future?
  • Vigorous research methodologies for specific market.
  • Knowledge partners across the globe
  • Large network of partner consultants.
  • Ever-increasing/ Escalating data base with quarterly monitoring of various markets
  • Trusted by fortune 500 companies/startups/ universities/organizations
  • Large database of 5000+ markets reports.
  • Effective and prompt pre- and post-sales support.

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 | 100 Pages | Author: Shubham Munde| June 2023

AI in Computer Vision Market Overview


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).


Key AI in Computer Vision Market Trends Highlighted


The Global AI in Computer Vision Market is witnessing significant trends driven by advancements in technology and increased demand across various sectors. A major market driver is the rapid adoption of AI and machine learning algorithms, which enhance computer vision capabilities, making systems more efficient and accurate. Companies are recognizing the ability of AI to process vast amounts of visual data, leading to better decision-making in areas such as healthcare, retail, and automotive. 


The rise of smart devices and Internet of Things (IoT) applications also fuels this growth, as these technologies increasingly integrate computer vision for improved functionality and user experience. Emerging opportunities revolve around the development of new applications and services utilizing AI in computer vision, particularly in sectors like security, surveillance, and manufacturing. By capturing and analyzing visual data, businesses can gain insights to optimize operations, reduce costs, and improve safety measures. 


There is a growing interest in leveraging AI for automation and image recognition as industries seek to enhance productivity and efficiency. Recent trends show a shift towards edge computing, where data processing occurs closer to the source rather than relying solely on cloud-based solutions. This transition minimizes latency and enhances the real-time capabilities of computer vision applications.Additionally, advancements in deep learning and neural networks continue to shape the landscape, enabling more robust and sophisticated systems. Furthermore, regulatory frameworks and standards are evolving globally, which could play a significant role in guiding the adoption of AI technologies in computer vision, ensuring ethical practices and compliance. Overall, the global AI in computer vision market is on a growth trajectory, driven by technological innovation and strategic opportunities across industries.


Fig 1: AI in Computer Vision Market Overview


AI In Computer Vision Market size


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


AI in Computer Vision Market Drivers


Increasing Adoption of AI Technologies in Various Industries


The Global AI in Computer Vision Market Industry is expanding rapidly due to the growing acceptance of Artificial Intelligence technology in a variety of industries, including healthcare, automotive, and manufacturing. For example, the healthcare industry has witnessed an increase in AI applications, notably in diagnostic imaging, where studies show that AI may improve diagnosis accuracy by up to 20%. Companies such as Siemens Healthineers and Philips are constantly improving AI capabilities in medical imaging, hence boosting market growth. Government initiatives in Europe and North America also promote the use of AI technologies in healthcare, with regulations targeted at increasing technological adoption. The European Commission has proposed significant financing for AI research, with EUR 1.5 billion set aside for AI development efforts, encouraging a strong market environment.


,Rising Demand for Automation and Efficiency


The demand for automation across industries is significantly contributing to the growth of the Global AI in Computer Vision Market Industry. The manufacturing sector, in particular, is embracing AI-driven computer vision to enhance operational efficiency and reduce human errors. According to a report by the International Federation of Robotics, factory automation is expected to grow by more than 10% annually, indicating a strong trend toward integrating AI technologies.Major companies such as ABB and Rockwell Automation are leading the charge in implementing advanced computer vision systems for quality inspection and logistics operations, substantially improving productivity metrics.


Enhancements in Image Recognition Technology


Advancements in image recognition technology play a pivotal role in propelling the Global AI in Computer Vision Market Industry. Recent developments have led to improvements in accuracy rates for image recognition systems, with some systems achieving over 95% accuracy, as reported by industry leaders like Google and Amazon Web Services. Such performance enhancements facilitate the deployment of computer vision solutions in security, retail, and surveillance, thus expanding market opportunities.The growing capabilities of AI-driven image processing technology contribute to the increasing implementation of smart surveillance systems, supported by global concerns regarding security, as evidenced by national policies focusing on enhanced safety measures.


Growing Investment in Research and Development


The Global AI in Computer Vision Market Industry is experiencing accelerated growth due to increased investment in Research and Development by both private companies and government bodies. In 2022, the global investment in AI-related R reached approximately USD 35 billion, highlighting a robust commitment to advancing computer vision technologies. Major technology companies such as Microsoft and Nvidia are heavily investing in R to improve AI capabilities, resulting in innovative solutions that address various sector needs.Furthermore, governments are recognizing the importance of AI and are introducing policies such as tax incentives for R&D expenditures, which fosters a supportive environment for technological advancements in the computer vision space.


AI in Computer Vision Market Segment Insights


AI in Computer Vision Market Application Insights


The Global AI in Computer Vision Market is witnessing notable growth within the Application segment, valued at 14.09 USD Billion in 2024 and significantly increase to 70.0 USD Billion by 2035. This growth underscores the compelling trend of integrating AI technologies into various domains, enhancing efficiency and functionality. Notably, the Healthcare application leads with a market valuation of 3.25 USD Billion in 2024, expected to soar to 16.25 USD Billion by 2035, reflecting the critical role of AI in diagnostics, patient monitoring, and personalized treatment plans, thus improving patient outcomes and operational efficacy.


The Automotive sector also contributes substantially, with a valuation of 2.5 USD Billion in 2024, growing to 12.5 USD Billion in 2035, driven by advancements in autonomous driving systems and safety features, thereby enhancing the overall driving experience and reducing accidents. In the Retail application, the market valuation stands at 2.75 USD Billion in 2024, projected to rise to 14.0 USD Billion by 2035. The integration of AI-driven image recognition technology is helping retailers optimize inventory management, enhance customer experiences, and streamline operations. Meanwhile, the Manufacturing domain sees a valuation of 3.0 USD Billion in 2024, with expectations to reach 15.0 USD Billion by 2035. 


AI contributes significantly here by enabling predictive maintenance and improving quality control processes, which translates into considerable cost savings and increased productivity. Lastly, the Security segment, valued at 2.59 USD Billion in 2024 and projected to grow to 12.25 USD Billion in 2035, underscores the importance of surveillance and monitoring solutions that leverage AI for threat detection and prevention, safeguarding assets and ensuring public safety.


The substantial revenues across these applications illustrate not only the varied use cases of AI in enhancing operational efficiencies but also emphasize the strategic importance of investing in these technologies across multiple industries. The continuous evolution of AI capabilities presents numerous opportunities for innovation, although challenges such as data privacy and ethical considerations are pivotal to the responsible utilization of these technologies in global application markets.


Fig 2: AI in Computer Vision Market Insights


AI In Computer Vision Market Segment


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


AI in Computer Vision Market Technology Insights


The Global AI in Computer Vision Market is experiencing substantial growth, with a valuation of 14.09 USD Billion in 2024. This market is characterized by a variety of technologies that play a critical role in enhancing visual perception capabilities through artificial intelligence. Deep Learning, Machine Learning, Image Processing, and Pattern Recognition are vital components that facilitate advanced image analysis and interpretation, making significant contributions to various industries such as healthcare, automotive, and security. 


For instance, Deep Learning techniques have emerged as a dominant force, allowing for complex data processing and improved accuracy in image recognition tasks.Meanwhile, Machine Learning algorithms are instrumental in real-time decision-making and automation processes. Image Processing, as a foundational technology, enhances visual data quality, which is pivotal for extracting meaningful insights. Furthermore, Pattern Recognition is essential in identifying trends and anomalies, portraying significant utility in applications ranging from facial recognition to agricultural monitoring. Collectively, these technologies are driving market growth by addressing the increasing demand for automation and efficiency, supported by the continuous advancements in AI methodologies.The Global AI in Computer Vision Market data reflects a sustained interest and investment in these technological areas, attributing to their importance and applicability across diverse sectors.


AI in Computer Vision Market Component Insights


The Global AI in Computer Vision Market is poised for substantial growth, with a forecasted valuation of 14.09 USD Billion in 2024 and an impressive rise to 70 USD Billion by 2035. This segment is distinctly categorized into Hardware, Software, and Services, each playing a vital role in enhancing the capabilities of AI-driven computer vision solutions. Hardware remains essential as it provides the necessary infrastructure for processing and analyzing visual data, while Software, encompassing algorithms and applications, drives the functionality and innovation within this market.Services, including consulting and integration, are critical for businesses looking to implement cutting-edge computer vision technologies seamlessly. Trends show an increasing demand for real-time processing and advanced analytics, driven by sectors such as healthcare, automotive, and security. Furthermore, the rising adoption of AI technologies and the exponential growth of imagery and video data present significant opportunities for market expansion. The Global AI in Computer Vision Market segmentation reflects a diverse landscape, with all three components contributing to the overall market growth and ensuring effective real-world applications across industries.


AI in Computer Vision Market End Use Insights


The Global AI in Computer Vision Market is poised for significant growth across various End Use segments, with the market valued at USD 14.09 billion in 2024. The segmentation includes Consumer Electronics, Industrial, Aerospace and Defense, and Transportation, each contributing to the overall market dynamics. Consumer Electronics remains a significant driver, enhancing the user experience through advanced features such as facial recognition in smartphones and smart home devices. 


In the Industrial sector, AI in Computer Vision is transforming automation and quality control processes, leading to increased operational efficiency.The Aerospace and Defense segment leverages computer vision for surveillance and reconnaissance, ensuring enhanced security and operational effectiveness. Transportation, focusing on autonomous vehicles and smart infrastructure, is also a crucial area contributing to the Global AI in Computer Vision Market statistics, as it plays a vital role in optimizing traffic management and safety measures. Overall, the Global AI in Computer Vision Market data reflects a robust and evolving landscape driven by technological advancements and increasing adoption across these key End Use segments.


AI in Computer Vision Market Regional Insights


The Global AI in Computer Vision Market has shown robust growth across various regions, with North America and Europe being significant leaders. In 2024, the North American market is valued at 5.7 USD Billion, representing the majority holding in the industry due to its advanced technological infrastructure and high adoption rates in sectors such as healthcare and automotive. Europe follows closely, valued at 4.1 USD Billion in the same year, driven by strong investments in Research and Development and a thriving manufacturing sector. 


The Asia-Pacific (APAC) region, with a valuation of 2.8 USD Billion in 2024, is quickly emerging as a vital player, spurred by rapid urbanization and increasing demand for AI applications in surveillance and retail.South America, valued at 1.1 USD Billion, presents opportunities for growth as businesses begin to recognize the potential of AI in enhancing operational efficiency. Meanwhile, the Middle East and Africa (MEA), valued at 0.39 USD Billion, has begun to adopt AI technologies, focusing on smart city initiatives and security applications, albeit with slower adoption compared to other regions. These regional dynamics are crucial for understanding the Global AI in Computer Vision Market revenue and segmentation trends that drive the market growth trajectory.


Fig 3: AI in Computer Vision Market Regional Insights


AI In Computer Vision Market Region


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


AI in Computer Vision Market Key Players and Competitive Insights


The Global AI in Computer Vision Market is characterized by intense competition and rapid technological advancements. As companies strive to leverage artificial intelligence to enhance image processing and analysis capabilities, the landscape has become crowded with startups and established players alike. The increasing adoption of AI in diverse industries such as healthcare, automotive, and retail has prompted organizations to innovate and differentiate their offerings. Notably, the market is defined by key factors such as proprietary technology, strategic partnerships, and investment in research and development. As businesses recognize the potential of AI to transform computer vision applications, they are focusing on AI-driven solutions that can deliver greater efficiency, accuracy, and insights. 


The competitive dynamics are driven by a blend of innovation, resource allocation, and customer-centric strategies that play a vital role in shaping market trends and ensuring longevity.Amazon has made significant strides in the Global AI in Computer Vision Market, leveraging its robust cloud computing infrastructure and advanced AI capabilities to offer innovative solutions. The company's presence in the market is underscored by the development of various AI-driven tools that utilize computer vision technology for applications such as inventory management, surveillance systems, and facial recognition. One of Amazon's primary strengths lies in its comprehensive ecosystem that integrates machine learning with computer vision, allowing businesses to deploy scalable solutions. 


The company’s vast resources enable it to continuously invest in cutting-edge research and development, making Amazon a formidable competitor. Furthermore, Amazon's commitment to customer satisfaction and its ability to respond swiftly to market demands have contributed to its strong foothold in this competitive landscape, positioning it as a key player in shaping the future of AI in computer vision.IBM's involvement in the Global AI in Computer Vision Market is anchored by a strong portfolio of AI solutions that harness computer vision to address complex challenges across various sectors. Known for its expertise in data analytics and machine learning, IBM offers a range of products and services that cater specifically to the needs of businesses looking to implement AI-driven visual analysis. Its Watson AI platform showcases key capabilities in image recognition and processing, reinforcing IBM's market presence through innovation. 


The company's strengths include its extensive research network and collaborative approach to developing AI solutions, often resulting in significant partnerships and strategic mergers and acquisitions that enhance its technology offerings. Additionally, IBM's commitment to ethical AI and compliance with industry standards further solidifies its reputation within the Global AI in Computer Vision Market. Through continuous advancements and a focus on customer needs, IBM remains a key player, dedicated to leveraging computer vision technology to drive business efficiencies and insights on a global scale.


Key Companies in the AI in Computer Vision Market Include



  • Amazon

  • IBM

  • NVIDIA

  • Google

  • Apple

  • Zebra Medical Vision

  • Intel

  • Microsoft

  • OpenAI

  • Qualcomm

  • Facebook

  • CognitiveScale

  • Clarifai

  • Vision.ai

  • Oracle


AI in Computer Vision Market Industry Developments


Recent developments in the Global AI in Computer Vision Market have been significant, with major players like Amazon, Google, and IBM enhancing their AI capabilities to improve image recognition and processing technologies. In September 2023, NVIDIA announced advancements in their AI models tailored for computer vision applications, demonstrating higher accuracy and processing speeds. Intel is also focusing on innovative hardware solutions to support AI workloads in computer vision, which further strengthens its market positioning. Notably, Amazon acquired a leading computer vision startup in August 2023, reinforcing its investment in AI technologies that enhance e-commerce and cloud services. The market valuation for companies involved in AI in computer vision has been steadily increasing, with significant investments noted in the healthcare sector, particularly with Zebra Medical Vision, which focuses on AI-driven imaging solutions for diagnostics. Companies like OpenAI and Microsoft are leveraging their AI platforms to enhance visual recognition capabilities, indicating a competitive landscape. Over the last few years, global demand for AI-driven computer vision solutions has surged, driven by the need for advanced analytics and automation across various sectors, including automotive, security, and healthcare, influencing overall market dynamics.


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 Scope:
Report Attribute/Metric Source: 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 Amazon, IBM, NVIDIA, Google, Apple, Zebra Medical Vision, Intel, Microsoft, OpenAI, Qualcomm, Facebook, CognitiveScale, Clarifai, Vision.ai, Oracle
SEGMENTS COVERED Application, Technology, Component, End Use, Regional
KEY MARKET OPPORTUNITIES Increased demand for automation, Growth in healthcare applications, Rise in retail analytics, Expansion in autonomous vehicles, Advancement in security surveillance
KEY MARKET DYNAMICS Rapid technological advancements, Increasing demand for automation, Growth in image and video analytics, Rising adoption across industries, Expanding investments in AI research
COUNTRIES COVERED North America, Europe, APAC, South America, MEA


Frequently Asked Questions (FAQ) :

The Global AI in Computer Vision Market is expected to be valued at 14.09 USD Billion in 2024.

By 2035, the Global AI in Computer Vision Market is projected to reach a value of 70.0 USD Billion.

The expected CAGR for the Global AI in Computer Vision Market from 2025 to 2035 is 15.69%.

North America is expected to dominate the Global AI in Computer Vision Market with a value of 5.7 USD Billion in 2024.

The market size for the Automotive application segment is estimated to be 2.5 USD Billion in 2024.

The Healthcare application segment is projected to reach a market size of 16.25 USD Billion by 2035.

Key players in the Global AI in Computer Vision Market include Amazon, IBM, NVIDIA, Google, and Apple.

The market size for the Security application segment is projected to reach 12.25 USD Billion by 2035.

The APAC region is expected to experience substantial growth, with the market size reaching 14.0 USD Billion by 2035.

The market may face challenges such as regulatory hurdles while presenting opportunities in sectors like Healthcare and Automotive.

Leading companies partner with us for data-driven Insights.

clients

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

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.

report-img
Tailored for You
  • Dedicated Research on any specifics segment or region.
  • Focused Research on specific players in the market.
  • Custom Report based only on your requirements.
  • Flexibility to add or subtract any chapter in the study.
  • Historic data from 2014 and forecasts outlook till 2040.
  • Flexibility of providing data/insights in formats (PDF, PPT, Excel).
  • Provide cross segmentation in applicable scenario/markets.