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APAC Computer Vision Market

ID: MRFR/ICT/57739-HCR
200 Pages
Aarti Dhapte
October 2025

APAC Computer Vision Market Research Report By Application (Face Recognition, Object Detection, Image Classification, Motion Analysis, Medical Imaging), By Technology (Deep Learning, Machine Learning, Image Processing, 3D Vision, Image Recognition), By End Use (Healthcare, Automotive, Retail, Security, Manufacturing), By Deployment Mode (Cloud-Based, On-Premises, Edge Computing) and By Regional (China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC)-Forecast to 2035

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APAC Computer Vision Market Summary

As per MRFR analysis, the APAC computer vision market Size was estimated at 5.56 USD Billion in 2024. The APAC computer vision market is projected to grow from 6.48 USD Billion in 2025 to 30.12 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 16.6% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The APAC computer vision market is experiencing robust growth driven by technological advancements and increasing applications across various sectors.

  • The healthcare sector in APAC is witnessing a surge in computer vision adoption for diagnostics and patient monitoring.
  • China remains the largest market for computer vision, while India is emerging as the fastest-growing region in this domain.
  • The retail sector is increasingly leveraging computer vision for enhanced customer experiences and inventory management.
  • Key market drivers include the rising demand for automation and advancements in AI and machine learning.

Market Size & Forecast

2024 Market Size 5.56 (USD Billion)
2035 Market Size 30.12 (USD Billion)

Major Players

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

APAC Computer Vision Market Trends

The computer vision market is experiencing notable growth in the APAC region, driven by advancements in artificial intelligence and machine learning technologies. Various industries, including healthcare, automotive, and retail, are increasingly adopting computer vision solutions to enhance operational efficiency and improve customer experiences. The integration of these technologies into existing systems appears to be a key factor in the market's expansion, as organizations seek to leverage data for better decision-making. Furthermore, government initiatives promoting digital transformation and smart city projects are likely to further stimulate demand for computer vision applications. In addition, the rise of e-commerce and the increasing need for automation in manufacturing processes are contributing to the market's upward trajectory. Companies are investing in computer vision systems to streamline operations, reduce costs, and ensure quality control. As the technology matures, it seems that the potential for innovative applications will continue to grow, attracting investments and fostering collaboration among stakeholders. Overall, the computer vision market in APAC is poised for significant advancements, with a focus on enhancing productivity and driving technological innovation across various sectors.

Increased Adoption in Healthcare

Healthcare providers in APAC are increasingly utilizing computer vision technologies for diagnostics and patient monitoring. These systems enhance the accuracy of medical imaging and facilitate remote consultations, thereby improving patient outcomes.

Growth in Automotive Applications

The automotive sector is witnessing a surge in the implementation of computer vision solutions for autonomous driving and safety features. This trend is likely to enhance vehicle performance and reduce accidents, contributing to safer transportation.

Expansion in Retail Sector

Retailers are adopting computer vision to optimize inventory management and enhance customer experiences. By analyzing consumer behavior through visual data, businesses can tailor their offerings and improve service delivery.

APAC Computer Vision Market Drivers

Rising Demand for Automation

The computer vision market in APAC is experiencing a notable surge in demand for automation across various sectors. Industries such as manufacturing and logistics are increasingly integrating computer vision technologies to enhance operational efficiency and reduce human error. This trend is driven by the need for real-time data analysis and decision-making capabilities. According to recent estimates, the automation sector in APAC is projected to grow at a CAGR of approximately 15% over the next five years. This growth is likely to propel the computer vision market, as companies seek to leverage advanced imaging technologies to streamline processes and improve productivity. The integration of artificial intelligence with computer vision further amplifies this trend, enabling smarter automation solutions that can adapt to dynamic environments. As a result, the computer vision market is poised for substantial growth, driven by the relentless pursuit of efficiency and innovation.

Increased Investment in Smart Cities

The push towards smart city initiatives in APAC is driving the growth of the computer vision market. Governments and private sectors are investing heavily in infrastructure that incorporates advanced technologies, including computer vision systems for surveillance, traffic management, and urban planning. The smart city market in APAC is projected to exceed $1 trillion by 2025, with a significant portion allocated to technologies that enhance urban living. This investment is likely to create a favorable environment for the computer vision market, as cities seek to implement solutions that improve safety and efficiency. Moreover, the integration of computer vision with IoT devices is expected to facilitate real-time monitoring and data collection, further enhancing urban management capabilities. As a result, the computer vision market is positioned to thrive amidst the growing emphasis on smart city development.

Surge in E-commerce and Online Retail

The rapid growth of e-commerce in APAC is significantly impacting the computer vision market. As online retail continues to expand, businesses are increasingly adopting computer vision technologies to enhance customer experiences and streamline operations. Applications such as automated checkout systems and inventory management are becoming commonplace in the retail sector. The e-commerce market in APAC is projected to reach approximately $3 trillion by 2025, indicating a robust demand for innovative solutions. This growth is likely to drive the computer vision market, as retailers seek to leverage advanced imaging technologies to optimize their supply chains and improve customer engagement. Furthermore, the integration of computer vision with augmented reality is expected to create new shopping experiences, further propelling market growth. Consequently, the computer vision market is well-positioned to capitalize on the burgeoning e-commerce landscape.

Advancements in AI and Machine Learning

The computer vision market in APAC is significantly influenced by advancements in artificial intelligence (AI) and machine learning technologies. These innovations are enhancing the capabilities of computer vision systems, allowing for more accurate image recognition and analysis. As AI algorithms become more sophisticated, they enable applications in various fields, including security, healthcare, and agriculture. The market for AI in APAC is expected to reach approximately $100 billion by 2025, indicating a robust growth trajectory. This growth is likely to have a direct impact on the computer vision market, as businesses increasingly adopt AI-driven solutions to improve their operational efficiencies. Furthermore, the synergy between AI and computer vision is fostering the development of new applications, such as facial recognition and object detection, which are becoming integral to various sectors. Consequently, the computer vision market is set to benefit from these technological advancements.

Growing Focus on Security and Surveillance

The increasing emphasis on security and surveillance in APAC is a key driver for the computer vision market. With rising concerns over safety in public spaces and private properties, there is a growing demand for advanced surveillance systems that utilize computer vision technologies. These systems offer enhanced capabilities for real-time monitoring, facial recognition, and anomaly detection. The security market in APAC is anticipated to grow at a CAGR of around 10% over the next few years, which is likely to benefit the computer vision market. As organizations and governments invest in sophisticated security solutions, the adoption of computer vision technologies is expected to rise. Additionally, the integration of computer vision with AI and big data analytics is enhancing the effectiveness of surveillance systems, making them more responsive to potential threats. Thus, the computer vision market is set to experience substantial growth driven by the increasing focus on security.

Market Segment Insights

By Application: Face Recognition (Largest) vs. Object Detection (Fastest-Growing)

In the Application segment of the computer vision market, Face Recognition holds a dominant share, significantly outweighing other segments such as Object Detection, Image Classification, Motion Analysis, and Medical Imaging. This distribution shows that Face Recognition is widely integrated across various industries, including security and retail, capitalizing on its advanced algorithms and technological advancements. Conversely, Object Detection is rapidly gaining traction, reflecting a notable shift towards more comprehensive object analysis in applications like autonomous vehicles and smart city infrastructure. It is expected to close the gap with Face Recognition in the near future due to its increasing use cases. The growth trends in this segment are driven by the widespread adoption of AI technologies and increasing demand for automation in various sectors. Face Recognition technology is fueled by advancements in deep learning and neural networks, making it a preferred choice for security and surveillance applications. On the other hand, Object Detection is being propelled by its integration into innovative technologies such as augmented reality and IoT devices. Medical Imaging is also witnessing growth due to the rising need for precise diagnostics in healthcare, highlighting the dynamic nature of the Application segment.

Face Recognition (Dominant) vs. Motion Analysis (Emerging)

Face Recognition is characterized by its extensive implementation in sectors including public safety, banking, and consumer applications. This segment's dominance showcases its reliability and efficacy in identity verification, making it a preferred choice for many organizations. Its advanced features include real-time processing and improved accuracy, which are essential for applications requiring immediate and trustworthy results. Conversely, Motion Analysis is an emerging segment that focuses on monitoring and interpreting movement, which has gained popularity in sports analytics, security, and interactive installations. While still developing, Motion Analysis is set to gain prominence as technologies improve, offering insights into motion patterns that can greatly benefit various industries.

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

In the APAC computer vision market, Deep Learning stands out as the largest segment, commanding a significant share due to its advanced capabilities in recognizing complex patterns within large datasets. Following closely is Image Recognition, which also showcases a strong presence, leveraging its applications in various industries. Image Processing and 3D Vision, while smaller, illustrate notable niche markets that cater to specific technological needs, contributing to the overall growth of the sector. The growth trends in this segment are primarily driven by the increasing adoption of AI and machine learning technologies across various sectors such as healthcare, automotive, and security. The demand for automation and enhanced analytics capabilities is propelling advancements in Deep Learning and Machine Learning, while Image Processing and 3D Vision are gaining traction, especially in manufacturing and visualization applications. These trends indicate a robust future for these technologies as they evolve and integrate with emerging innovations.

Technology: Deep Learning (Dominant) vs. Image Processing (Emerging)

Deep Learning remains the dominant force in the APAC computer vision market, surpassing other technologies with its ability to process vast amounts of data to deliver high accuracy in various applications, including facial recognition and autonomous driving. Its scalability and adaptability have made it preferred among enterprises aiming for advanced solutions. On the other hand, Image Processing is emerging rapidly, driven by advancements in imaging technologies and its critical role in applications such as quality inspection and data extraction. The synergy between these two segments is notable, with Image Processing often serving as a foundational technology that enhances Deep Learning models, making them more effective and efficient in real-world applications.

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

The distribution of market share among the different segments in the APAC computer vision market highlights Healthcare as the predominant area, accounting for a significant portion of the total market. Automotive, while currently smaller in share, is rapidly gaining traction and is poised for substantial growth due to advancements in technology and increasing investment in smart vehicle systems. Growth trends in the APAC computer vision market are largely driven by the exploding demand for automation and efficiency in various industries. The Healthcare segment benefits from rising investments in medical imaging and diagnostics, whereas the Automotive sector is stimulated by innovations in autonomous driving and intelligent transportation systems, setting the stage for a competitive landscape where both segments are expected to flourish.

Healthcare: Dominant vs. Automotive: Emerging

Healthcare stands out in the APAC computer vision market, utilizing advanced imaging techniques like MRI, CT, and real-time analytics to enhance diagnostics and patient care. Its robust infrastructure and established presence offer notable advantages, leading to a higher adoption rate among healthcare providers. In contrast, Automotive is characterized by rapid innovations, focusing on machine learning and AI to enhance vehicle systems. With advancements in autonomous driving technology and smart sensors, Automotive is emerging strongly. Collaboration between tech firms and manufacturers is fostering an ecosystem for breakthroughs that are expected to accelerate growth, making it a key area of focus for stakeholders in the market.

By Deployment Mode: Cloud-Based (Largest) vs. Edge Computing (Fastest-Growing)

In the deployment mode segment of the market, Cloud-Based solutions hold the largest share, favored for their scalability and ease of integration. On-Premises deployments, although traditional, are continuously being challenged by the emerging preferences for more flexible and innovative solutions. Edge Computing is on the rise, presenting increasing competition for conventional models as it offers enhanced real-time data processing capabilities, especially in demanding environments. The growth dynamics in this segment are driven by a surge in demand for real-time analytics and the rapid adoption of IoT technologies. Organizations are leaning towards Cloud-Based solutions for lower upfront costs and operational flexibility. Meanwhile, Edge Computing is gaining traction as it enables quicker decision-making processes at local levels, making it a compelling choice for industries requiring immediate data insights and responsiveness.

Cloud-Based (Dominant) vs. Edge Computing (Emerging)

Cloud-Based deployment modes are characterized by their flexibility, lower capital expenditures, and the ability to scale services quickly in response to fluctuating demands. They are ideal for businesses looking to leverage extensive computational resources without the burden of maintaining physical infrastructure. In contrast, Edge Computing, while still emerging, is reshaping how data is processed by bringing computation and data storage closer to the source of data generation. This model minimizes latency and bandwidth use, making it crucial for industries such as manufacturing and autonomous driving, where instantaneous data processing can significantly enhance operational efficiency.

Get more detailed insights about APAC Computer Vision Market

Regional Insights

China : Unmatched Growth and Innovation

China holds a commanding 2.2% market share in the APAC computer vision sector, driven by rapid advancements in AI and machine learning technologies. The government's strong support for tech innovation, coupled with significant investments in smart city initiatives, fuels demand. Regulatory frameworks are increasingly favorable, promoting the integration of computer vision in various sectors, including healthcare and manufacturing. Infrastructure development, particularly in urban areas, enhances the deployment of these technologies.

India : Rapid Growth and Adoption

India's computer vision market is valued at 1.1%, reflecting a burgeoning interest in AI applications across industries. Key growth drivers include a young, tech-savvy population and increasing smartphone penetration. Government initiatives like Digital India promote the adoption of advanced technologies, while investments in infrastructure support the growth of tech startups. The demand for computer vision in sectors such as agriculture and retail is on the rise, driven by the need for automation and efficiency.

Japan : Strong R&D and Market Potential

Japan's computer vision market, valued at 0.9%, is characterized by its robust research and development ecosystem. The country is witnessing a surge in demand for AI-driven solutions, particularly in robotics and automotive sectors. Government policies encourage innovation, with initiatives aimed at enhancing AI capabilities. The aging population also drives the need for automation in healthcare, creating a favorable environment for computer vision technologies.

South Korea : Leading in AI Applications

South Korea's computer vision market stands at 0.7%, bolstered by strong government support for AI and smart technologies. The country is a leader in integrating computer vision into consumer electronics and automotive industries. Initiatives like the Korean New Deal aim to enhance digital infrastructure, fostering innovation. Major cities like Seoul and Busan are key markets, with significant investments from local giants like Samsung and LG, driving competitive dynamics in the sector.

Malaysia : Strategic Investments in Technology

Malaysia's computer vision market is valued at 0.3%, with increasing demand driven by sectors such as manufacturing and agriculture. The government’s initiatives, including the Malaysia Digital Economy Blueprint, promote the adoption of AI technologies. Infrastructure improvements and a focus on digital transformation are key growth factors. The market is characterized by a mix of local startups and international players, creating a dynamic competitive landscape.

Thailand : Focus on Industrial Automation

Thailand's computer vision market, valued at 0.25%, is experiencing growth due to rising automation in manufacturing and logistics. Government policies support the Industry 4.0 initiative, encouraging the integration of advanced technologies. Key cities like Bangkok and Chiang Mai are pivotal markets, with a growing number of tech startups. Major players, including international firms, are establishing a presence, enhancing the competitive environment in the region.

Indonesia : Investments in Digital Transformation

Indonesia's computer vision market is valued at 0.2%, with significant potential for growth driven by increasing smartphone usage and digitalization efforts. Government initiatives aimed at enhancing the digital economy are fostering a conducive environment for tech adoption. Key cities like Jakarta are central to market activities, with a mix of local and international players competing for market share. The demand for computer vision in sectors like retail and agriculture is on the rise.

Rest of APAC : Varied Market Dynamics and Growth

The Rest of APAC region holds a market share of 0.91%, showcasing diverse opportunities across various countries. Growth is driven by increasing investments in technology and infrastructure development. Countries like Vietnam and the Philippines are emerging as key players, with government support for tech innovation. The competitive landscape is characterized by a mix of local startups and established international firms, creating a dynamic market environment.

APAC Computer Vision Market Regional Image

Key Players and Competitive Insights

The competitive dynamics of the computer vision market in the APAC region are characterized by rapid technological advancements and a growing demand for automation across various sectors. Key growth drivers include the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies, which enhance the capabilities of computer vision systems. Major players such as NVIDIA (US), Intel (US), and Samsung (KR) are strategically positioned to leverage these trends. NVIDIA (US) focuses on innovation in AI-driven graphics processing units (GPUs), while Intel (US) emphasizes partnerships to enhance its computer vision solutions. Samsung (KR) is investing in regional expansion to capitalize on the burgeoning demand for smart devices integrated with advanced vision technologies. Collectively, these strategies shape a competitive environment that is increasingly focused on technological differentiation and market responsiveness.

Key business tactics within the market include localizing manufacturing and optimizing supply chains to enhance operational efficiency. The competitive structure appears moderately fragmented, with several key players exerting influence over specific segments. This fragmentation allows for niche players to emerge, yet the collective strength of major companies like Google (US) and Microsoft (US) ensures that they maintain a significant foothold in the market. Their ability to innovate and adapt to local market needs is crucial in shaping the overall competitive landscape.

In September 2025, NVIDIA (US) announced the launch of its latest AI-powered computer vision platform, which integrates advanced deep learning capabilities. This strategic move is significant as it positions NVIDIA at the forefront of the AI revolution, enabling industries such as automotive and healthcare to adopt more sophisticated vision systems. The platform's capabilities are expected to enhance operational efficiencies and drive new applications, thereby solidifying NVIDIA's competitive edge.

In October 2025, Intel (US) revealed a partnership with a leading robotics firm to develop next-generation computer vision solutions for industrial automation. This collaboration is strategically important as it allows Intel to expand its reach into the robotics sector, which is increasingly reliant on advanced vision technologies. By aligning with a key player in robotics, Intel is likely to enhance its product offerings and capture a larger share of the growing market.

In August 2025, Samsung (KR) launched a new line of smart cameras equipped with cutting-edge computer vision capabilities aimed at the security sector. This initiative reflects Samsung's commitment to innovation and its strategy to diversify its product portfolio. By entering the security market, Samsung not only broadens its customer base but also positions itself as a leader in integrating computer vision into everyday applications.

As of November 2025, current trends in the computer vision market are heavily influenced by digitalization, sustainability, and the integration of AI technologies. Strategic alliances among key players are shaping the competitive landscape, fostering innovation and collaboration. The shift from price-based competition to a focus on technological advancement and supply chain reliability is evident. Companies are likely to differentiate themselves through innovative solutions and robust partnerships, ensuring they remain competitive in an evolving market.

Key Companies in the APAC Computer Vision Market market include

Industry Developments

The APAC Computer Vision Market has witnessed significant developments recently, driven by advancements in artificial intelligence and machine learning. In October 2023, Qualcomm announced collaborations with multiple firms to enhance their computer vision capabilities, focusing on automotive and smart cities. NVIDIA has also been expanding its influence in the region, releasing new GPU architectures tailored for computer vision applications, thereby supporting industries like retail and healthcare.

Meanwhile, Tencent has launched a new suite of AI-powered tools that leverage computer vision for enhanced user interactivity in gaming and social media. On the mergers and acquisitions front, LG Electronics confirmed in September 2023 its acquisition of AI start-up specializing in computer vision technology to boost its product portfolio. Companies such as Amazon and Samsung continue to invest heavily in innovation, with Samsung unveiling novel camera technologies for smartphones that utilize advanced computer vision features.

The market valuation of these companies is expected to grow substantially, influenced by increasing demand for automated systems and real-time analytics in sectors like security and automotive. In the last two to three years, growth has been spurred further by significant investments in R&D and strategic partnerships across the region.

Future Outlook

APAC Computer Vision Market Future Outlook

The computer vision market is projected to grow at a 16.6% CAGR from 2024 to 2035, driven by advancements in AI, increased automation, and demand for enhanced analytics.

New opportunities lie in:

  • Development of AI-driven surveillance systems for urban safety
  • Integration of computer vision in autonomous vehicle navigation
  • Creation of smart retail solutions using image recognition technology

By 2035, the market is expected to achieve substantial growth, driven by innovative applications and technological advancements.

Market Segmentation

APAC Computer Vision Market Use Outlook

  • Healthcare
  • Automotive
  • Retail
  • Security
  • Manufacturing

APAC Computer Vision Market Technology Outlook

  • Deep Learning
  • Machine Learning
  • Image Processing
  • 3D Vision
  • Image Recognition

APAC Computer Vision Market Application Outlook

  • Face Recognition
  • Object Detection
  • Image Classification
  • Motion Analysis
  • Medical Imaging

APAC Computer Vision Market Deployment Mode Outlook

  • Cloud-Based
  • On-Premises
  • Edge Computing

Report Scope

MARKET SIZE 2024 5.56(USD Billion)
MARKET SIZE 2025 6.48(USD Billion)
MARKET SIZE 2035 30.12(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR) 16.6% (2024 - 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 ["NVIDIA (US)", "Intel (US)", "Google (US)", "Microsoft (US)", "Amazon (US)", "IBM (US)", "Qualcomm (US)", "Apple (US)", "Samsung (KR)"]
Segments Covered Application, Technology, Use, Deployment Mode
Key Market Opportunities Integration of artificial intelligence in computer vision applications enhances automation across various industries.
Key Market Dynamics Rapid advancements in artificial intelligence drive innovation and competition in the computer vision market across APAC.
Countries Covered China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC

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FAQs

What is the expected market size of the APAC Computer Vision Market in 2024?

The APAC Computer Vision Market is expected to be valued at 3.88 billion USD in 2024.

What is the projected market size for the APAC Computer Vision Market by 2035?

By 2035, the APAC Computer Vision Market is projected to reach 10.5 billion USD.

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

The market is expected to grow at a CAGR of 9.473% from 2025 to 2035.

Which region holds the largest market share in the APAC Computer Vision Market for 2024?

China holds the largest market share with a valuation of 1.15 billion USD in 2024.

What will be the market size of Face Recognition application in 2035?

The Face Recognition application is projected to reach a market size of 2.688 billion USD by 2035.

Who are the key players in the APAC Computer Vision Market?

Key players in the market include Qualcomm, NVIDIA, Tencent, and Alphabet, among others.

What is the market growth for Object Detection application from 2024 to 2035?

The Object Detection application is expected to grow from 0.826 billion USD in 2024 to 2.352 billion USD in 2035.

What is the expected market size for India in the APAC Computer Vision Market by 2035?

The market size for India is projected to reach 2.32 billion USD by 2035.

What is the projected market size for Medical Imaging by 2035?

Medical Imaging is expected to have a market size of 1.932 billion USD in 2035.

How much will the market for Motion Analysis application grow by 2035?

The Motion Analysis application is anticipated to grow to 1.512 billion USD by 2035.

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