Computer Vision Market Size, Share & Industry Analysis, By Deployment (On-premise and Cloud-based), By Application (Facial Recognition, Image Classification, Object Detection, Object Tracking, and Others), By Industry (Automotive, Manufacturing, Healthcare, Retail, Agriculture, Logistics, and Others), and Regional Forecast, 2024- 2032

The global computer vision market size was valued at USD 20.31 billion in 2023 and is projected to grow from USD 25.41 billion in 2024 to USD 175.72 billion by 2032, exhibiting a CAGR of 27.3% during the forecast period. North America dominated the global market with a share of 30.97% in 2023. Increasing use of AI vision to revolutionize the agriculture sector is one of the key factors driving the market growth.

Computer vision is a field of artificial intelligence (AI) that concentrates on enabling computers to classify and understand objects and people in videos and images. Similar to human visual perception, the objective of computer vision is to replicate the way humans see and understand visual information. This field is dedicated to automating and integrating the various processes and representations involved in visual recognition. It includes many methods such as image processing (encoding, transforming, and transmitting images) and statistical pattern classification (statistical decision theory applied to visual or other common patterns).

The current trends in 3D imaging and automation across major industries indicate a significant growth potential for the market, including the AI ​​vision market. Therefore, the main goal of computer vision is to enable computing devices to accurately identify objects and people in digital images and take appropriate actions.

As COVID-19 spreads across the globe, businesses of all sizes and across all industries struggled to keep their resources safe and productive during the pandemic. However, this pandemic opened opportunity for these systems, with high-tech startups and major corporations worked diligently to prevent and contain the virus. Additionally, this technology gained significant attention as an effective infection prevention and control (IPC) strategy, finding its applications in bacterial screening, masked facial recognition, pandemic drones, and thermography.  AI vision proved to be a promising tool in treating patients with coronavirus disease (COVID-19). Large commercial spaces and public infrastructure such as airports, shopping centers, and public health facilities increased the demand for these systems during the pandemic. Therefore, the pandemic had a positive impact on the market.

IMPACT OF GENERATIVE AI

Integration of Generative AI in Computer Vision to Enhance Operations and Create Market Opportunities

The adoption of generative artificial intelligence (AI) has a profound impact on computer vision by enabling the creation of realistic images, enhancing image generation tasks, and aiding in data augmentation. Techniques such as generative adversarial networks have revolutionized the field by generating synthetic data, improving image synthesis, super-resolution, inpainting, style transfer, and more. In addition, generative models facilitate domain adoption, where models trained on one dataset can be adapted to perform well on a different dataset, thus improving the robustness and generalization of computer vision systems. Furthermore, advancements in deep learning and neural networks empower generative AI models to create incredibly realistic images and videos, opening up new possibilities in diverse applications. Moreover, the potential of generative AI in computer vision is undeniable, as the technology matures and becomes more widespread adoption and revolutionary applications across various industries. Thus, this factor boosts the global computer vision market growth.

Computer Vision Market Trends

Revolutionizing of Agriculture through AI Vision Are Expected to Fuel Market Growth

AI computer vision offers numerous new applications in various fields, such as agriculture, logistics, and manufacturing, which can greatly benefit from the application of this technology. It is used in agriculture to automate various processes, including yield prediction, plant monitoring, and disease detection. AI algorithms can analyze images of crops and provide information about their growth, health, and yield potential, empowering farmers to make informed decisions care crop care and product improvement. Therefore, this factor is expected to drive the market growth.

Computer Vision Market Growth Opportunities

Surging Use of Efficient Quality Control in Manufacturing to Drive the Market Growth

The growing demand for automation and efficacy is one of the main drivers of AI growth in the market. Automation and efficacy enable businesses to save time and resources while improving the accuracy of their decision-making processes. For this reason, several industries are now executing AI computer vision technology to automate processes and improve efficiency. For instance, in manufacturing, computer vision systems can be used in factories to inspect products and detect defects. This allows the identification and resolution of production issues more quickly and effectively, thereby increasing efficiency and reducing waste. Therefore, this factor drives the market growth.

RESTRAINING FACTORS

Higher Cost of Acquiring and Implementation Among Organizations May Hinder the Market Growth

The high cost of acquiring and implementing computer vision solutions is one of the biggest challenges to market growth. Evolving and deploying these AI systems can be expensive and often requires specialized software, hardware, and technical expertise. For companies new to AI computer vision, acquiring and deploying these systems can be a significant undertaking, including costs such as software licenses, hardware, and technical support. Additionally, companies may need to participate in training and development programs to increase their technical expertise with these systems. Therefore, these factors slow down market growth.

Computer Vision Market Segmentation Analysis

By Deployment Analysis

On-Premises Segment Dominates owing to Surging Adoption of On-premises Solutions Among Organizations 

On the basis of deployment, the market is categorized into cloud-based and on-premises.

The on-premises segment dominates the market by capturing the largest market share and is expected to maintain its dominance during the forecasted period. These solutions allow organizations to maintain greater control over sensitive data, reducing the risk of data breaches or unauthorized access. Processing data locally minimizes latency, which is crucial for applications where real-time responses are essential, such as in surveillance or manufacturing. Furthermore, several industries, such as finance or healthcare, have strict regulatory requirements. Hence, on-premises solutions help meet compliance standards by keeping data within specified boundaries.

By Application Analysis

Facial Recognition Segment Dominates Owing to Rising Security & Surveillance Applications 

On the basis of the application, the market is categorized into facial recognition, image classification, object detection, object tracking, and others.

The facial recognition segment dominates the market with the maximum global computer vision market share. It is used to identify individuals with high accuracy, making it a valuable tool for security and surveillance applications. Furthermore, it can be used to match faces in video footage with databases of known criminals or missing persons, helping to apprehend suspects and locate missing individuals. Thus, this factor promotes the market growth.

Furthermore, object detection is expected to grow at the highest CAGR during the forecast period. It plays a crucial role in security systems, enabling real-time identification of intruders, suspicious objects, and potential hazards.

In addition, imagine surveillance cameras that automatically alert authorities upon detecting unauthorized personnel in restricted areas or self-driving cars that instantly recognize and avoid obstacles on the road. Therefore, these factors play a vital role in driving the market growth.

By Industry Analysis

Manufacturing Segment Led due to Growing Computer-based Applications Among Manufacturing Sector 

On the basis of the industry, the market is categorized into automotive, manufacturing, healthcare, retail, agriculture, logistics and others.

The manufacturing segment held the largest market share in 2022. Computer vision is experiencing a boom in the manufacturing industry, transforming various processes and bringing significant benefits. In manufacturing, these systems inspect products with precision for detecting defects such as scratches, cracks, or incorrect assembly parts. These applications analyze images of machinery to detect anomalies and predict potential failures, preventing downtime and costly repairs.

Moreover, healthcare is expected to grow at the highest CAGR during the forecast period. From improving diagnoses to streamlining workflows, it offers a multitude of advantages that enhance patient care and medical practices. These algorithms analyze X-rays, CT scans, and MRIs with remarkable precision, identifying subtle abnormalities that might go unnoticed by the human eye. This results in earlier and more accurate diagnoses of diseases such as cancer, stroke, and neurological conditions.

REGIONAL INSIGHTS

In terms of region, this market is divided into five key regions: North America, South America, Europe, the Middle East & Africa, and Asia Pacific.

North America holds the largest share in the market. The high market share is due to the numerous Internet of Things (IoT) deployments in the region. Furthermore, the robust IT and telecom infrastructure throughout the region and the number of cloud and edge deployments are some features supporting computer vision adoption. Moreover, applications of computer vision are expanding across various sectors, such as healthcare, retail, manufacturing, and security, driving the market growth. The growing volume of image and video data provides valuable training material for these models, further enhancing their capabilities. Thus, these factors promote the market growth in the region.

Asia Pacific is anticipated to witness the highest growth in terms of CAGR during the forecast period. This growth is attributed to the increasing number of use cases across various industries, which is expected to be the major factor driving demand in the regional market. The adoption of computer vision in the automotive, electronics, and manufacturing industries to improve safety and automate various workflows, such as assembly lines, quality inspection, and inventory management, is driving the demand in Asia Pacific. These industries continue to invest in product research and development, and the demand for more computer vision systems is expected to increase in the future. Additionally, government initiatives and regulations are key drivers of market growth in this region.

Europe is anticipated to exhibit a steady growth over the forecast period. The region is also known for its strong industrial base. Europe’s robust manufacturing and automotive industries are early adopters of computer vision for automation and quality control. Germany and the U.K. are the leading markets due to government investments, strong technology development, and established industrial sectors. Thus, this factor boost market growth.

Similarly, South America is showing substantial growth in this market due to the increasing adoption of AI and deep learning, making computer vision solutions more accessible and affordable. Moreover, governments in the region are actively promoting AI and digital transformation strategies, investing in infrastructure, expanding their offerings, and developing tools to simplify computer vision applications for businesses.

Moreover, the Middle East & Africa (MEA) market is expected to witness a prominent growth in the coming years due to increased investment and government funding for digitization.

List of Key Companies in Computer Vision Market

Market Companies to Take-Up Merger & Acquisition Strategies for Expanding Their Operations

Key market players in the industry have been expanding their global presence by introducing solutions which are specialized in nature and are customized according to specific sectors. They have been engaging in partnership and acquisitions of local businesses for establishing strong foothold in numerous regions. These companies are focusing on the creation of marketing strategies and developing new solutions for maintaining which are effective and growing their market share. Thus, the rising demand for computer vision solutions is expected to build profitable market opportunities for the market players.

List of Key Companies Profiled:

• Intel Corporation (U.S.)


• Amazon (U.S.)


• Nvidia Corporation (U.S.)


• Cogniac (U.S.)


• Matroid Inc. (U.S.)


• Techsee (Israel)


• alwaysAI (U.S.)


• Microsoft Corporation (U.S.)


• Clarifai (U.S.)


• Omron Corporation (Japan)

KEY INDUSTRY DEVELOPMENTS:

• December 2023: AlwaysAI collaborated with professors at the University of California, San Diego to advance computer vision technology. This collaboration enabled users to leverage San Diego's outstanding academic and technical talent to develop practical computer vision applications that deliver incredible value to customers.


• October 2023: Remark Holdings, Inc., an AI-powered video analytics provider, announced a partnership with Arrow Electronics and Intel. This partnership would expand more than 200,000 customers by providing Intel-based AI servers running Remark's reach Remark's Smart Safety Platform (SSP) responsible for warehousing, sales, and logistics sales support.


• August 2023: TechSee announced integration with Amazon Web Services to support Amazon Connect. The integration with Amazon Connect provides better customer service at lower costs by incorporating artificial integration and an augmented reality platform.


• August 2023: Amazon announced the launch of a shelf monitoring solution for sellers to ensure high quality fresh food. The launch of this solution allows sellers to meet consumer demand for high-quality fresh fruits and vegetables when shopping on Amazon Fresh.   


• August 2023: NVIDIA announced the launch of the NVIDIA Omniverse platform, which provides new foundational services and applications for developers and industrial enterprises to improve and extend their 3D pipelines using the OpenUSD framework and generative AI. By adopting this platform, developers can improve their tools and companies can create larger, more complex global simulations as digital testbeds for industrial applications.

REPORT COVERAGE

The report provides a detailed analysis of the market and focuses on key aspects such as leading companies, product/service types, and leading applications of the product. Besides, the report offers insights into the market trends and highlights key industry developments. In addition to the factors above, the report encompasses several factors that contributed to the growth of the market in recent years.

Report Scope & Segmentation