The global AI in computer vision market size is estimated to grow from USD 26.55 billion in 2025, to USD 473.98 billion by 2035, at a CAGR of 29.95% during the forecast period, till 2035.
AI In Computer Vision Market: Growth and Trends
Due to the ongoing global digital transformation, a variety of industries are adopting artificial intelligence (AI). Notably, AI is integral to computer vision systems, which allow computers and other systems to extract significant information from digital images, videos, and various visual inputs, enabling them to act or reference based on the obtained data. Computer vision technology heavily relies on artificial intelligence and machine learning methodologies. This field focuses on automating and integrating diverse processes and representations related to visual information. It encompasses various techniques such as image processing (including encoding, transforming, and transmitting images) and statistical pattern classification.
It is worth mentioning that an increased need for computer vision systems in automotive applications, a growing interest in emotion AI, and a heightened demand for quality inspection and automation, are propelling market expansion for AI vision technology. Further, active government initiatives aimed at promoting advancements in AI technology within vision systems are creating additional opportunities for the AI in computer vision sector. Owing to the abovementioned factors, the global AI in computer vision market is expected to increase at a steady pace during the forecast period.
Report Scope
Type of Component
- Hardware
- Software
- Service
Type of Function
- Training
- Interference
Type of Machine Learning Models
- Supervised Learning
- Unsupervised Learning
Type of Deployment
- Cloud-Based
- On-Premises
Areas of Application
- Facial Recognition
- Image Classification
- Object Detection
- Object Tracking
- Others
Type of Product
- PC-Based Computer Vision System
- Smart Camera-Based Computer Vision System
Type of End Users
- Automotive
- Consumer Electronics
- Healthcare
- Manufacturing
- Retail
- Security & Surveillance
- Sports & Entertainment
- Others
Company Size
- Large Enterprises
- Small and Medium Enterprises
Type of Business Model
- B2B
- B2C
- B2B2C
Geographical Regions
- North America
- US
- Canada
- Mexico
- Other North American countries
- Europe
- Austria
- Belgium
- Denmark
- France
- Germany
- Ireland
- Italy
- Netherlands
- Norway
- Russia
- Spain
- Sweden
- Switzerland
- UK
- Other European countries
- Asia
- China
- India
- Japan
- Singapore
- South Korea
- Other Asian countries
- Latin America
- Brazil
- Chile
- Colombia
- Venezuela
- Other Latin American countries
- Middle East and North Africa
- Egypt
- Iran
- Iraq
- Israel
- Kuwait
- Saudi Arabia
- UAE
- Other MENA countries
- Rest of the World
- Australia
- New Zealand
- Other countries
AI In Computer Vision Market: Key Segments
Market Share by Type of Component
Based on type of component, the global AI in computer vision market is segmented into hardware, software, and services. According to our estimates, currently, the software segment captures the majority share of the market. This can be attributed to the vital role of software in supplying essential tools for analyzing and visualizing data.
The software offers various applications, including AI frameworks, AI algorithms, video processing, and more, which further contributes to its market growth. However, the hardware segment is anticipated to grow at a relatively higher CAGR during the forecast period, owing to its crucial role in for data capture in computer vision applications.
Market Share by Type of Function
Based on type of function, the AI in computer vision market is segmented into training and interference. According to our estimates, currently, the training segment captures the majority of the market. This can be attributed to the growing need for training data and advancements in deep learning algorithms, which require targeted training to improve results.
Market Share by Type of Machine Learning Models
Based on type of machine learning models, the AI in computer vision market is segmented into supervised learning and unsupervised learning. According to our estimates, currently, the supervised learning segment captures the majority share of the market. This can be attributed to the model's efficiency in functions such as image classification and object detection, which typically require labeled datasets for training.
However, the unsupervised learning model is anticipated to grow at a relatively higher CAGR during the forecast period. This growth is likely due to its capacity to analyze and interpret data without relying on labeled inputs, making it especially useful in scenarios where obtaining labeled data poses challenges.
Market Share by Type of Deployment
Based on type of deployment, the AI in computer vision market is segmented into cloud-based and on-premises. According to our estimates, currently, the on-premises segment captures the majority share of the market. This can be attributed to its accessibility, flexibility, scalability, and cost-effectiveness provided by AI in computer vision systems. The growing emphasis on accessibility and efficiency by numerous companies is also driving the growth of this segment.
Market Share by Area of Application
Based on areas of application, the AI in computer vision market is segmented into facial recognition, image classification, object detection, object tracking and others. According to our estimates, currently, facial recognition segment captures the majority share of the market. This can be attributed to the fact that facial recognition is an effective tool for security and surveillance, as it can accurately identify individuals. Further, it can aid in locating missing individuals and apprehending criminals by comparing faces in video recordings and databases of known offenders and missing persons.
However, the object detection segment is anticipated to grow at a relatively higher CAGR during the forecast period, due to its essential function in security systems, facilitating real-time image analysis and the identification of intruders, suspicious items, and possible threats.
Market Share by Type of Product
Based on type of product, the AI in computer vision market is segmented into PC-based computer vision system, smart camera-based computer vision system. According to our estimates, currently, the smart camera-based computer vision system captures the majority share of the market. This can be attributed to its extensive use across various sectors such as security, automotive, and healthcare. Additionally, this segment gains from advancements in camera module technology and the integration of AI.
However, PC-based computer vision system is anticipated to grow at a relatively higher CAGR during the forecast period, owing to the rising demand for robust computing solutions capable of managing intricate algorithms and substantial datasets.
Market Share by Type of End-Users
Based on type of end-users, the AI in computer vision market is segmented into automotive, consumer electronics, healthcare, manufacturing, retail, security & surveillance, sports & entertainment and others. According to our estimates, currently, the manufacturing segment captures the majority share of the market.
This can be attributed to the rapid expansion the manufacturing industry is witnessing in the realm of AI-powered computer vision, resulting in the transformation of various processes and delivering significant advantages. Vision computing systems within manufacturing aid in product inspections with accuracy, identifying defects like scratches or cracks. They also contribute to image analysis and the anticipation of possible failures.
However, the healthcare sector is anticipated to grow at a relatively higher CAGR during the forecast period, owing to a range of benefits these systems offer to improve patient care and medical practices.
Market Share by Company Size
Based on company size, the AI in computer vision market is segmented into large and small and medium enterprise. According to our estimates, currently, large enterprise segment captures the majority share of the market. However, the small enterprise segment is anticipated to grow at a relatively higher CAGR during the forecast period.
This is attributed to their flexibility, innovative approaches, concentration on specialized markets, and capacity to adjust to evolving customer preferences and market dynamics.
Market Share by Geographical Regions
Based on geographical regions, the AI in computer vision market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently, Asia Pacific captures the majority share of the market. This can be attributed to the deployments of the internet of things (IoT) in the area. Further, the strong IT and telecom infrastructure in the region, along with the high number of cloud and edge deployments, are additional factors driving the growth of computer vision systems.
Sample Players in AI in Computer Vision Market Profiled in the Report Include:
- Airtel
- AT&T
- China Mobile
- China Unicorn
- Ciena
- Deepsig
- Deutsche Telekom
- Ericsson
- HPE
- Jio
- KDDI
- KT
- Media Tek
- National Instruments
- NTT DoCoMo
- Orange
- Qualcomm Technology
- Rakuten Mobile
- Singtel
- SK Telecom
- Telefonica
- T-Mobile
- Verizon
- Vodafone
AI In Computer Vision Market: Research Coverage
The report on the AI in computer vision market features insights on various sections, including:
- Market Sizing and Opportunity Analysis: An in-depth analysis of the AI in computer vision market, focusing on key market segments, including [A] type of component, [B] type of function, [C] type of machine learning models, [D] type of deployment, [E] areas of application, [F] type of product, [G] type of end users, [H] company size, and [I] key geographical regions.
- Competitive Landscape: A comprehensive analysis of the companies engaged in the AI in computer vision market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
- Company Profiles: Elaborate profiles of prominent players engaged in the AI in computer vision market, providing details on [A] location of headquarters, [B]company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] AI in computer vision portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
- Megatrends: An evaluation of ongoing megatrends in AI in computer vision industry.
- Patent Analysis: An insightful analysis of patents filed / granted in the AI in computer vision domain, based on relevant parameters, including [A] type of patent, [B] patent publication year, [C] patent age and [D] leading players.
- Recent Developments: An overview of the recent developments made in the AI in computer vision market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.
- Porter’s Five Forces Analysis: An analysis of five competitive forces prevailing in the AI in computer vision market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
- SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.
- Value Chain Analysis: A comprehensive analysis of the value chain, providing information on the different phases and stakeholders involved in the AI in computer vision market.
Key Questions Answered in this Report
- How many companies are currently engaged in AI in computer vision market?
- Which are the leading companies in this market?
- What factors are likely to influence the evolution of this market?
- What is the current and future market size?
- What is the CAGR of this market?
- How is the current and future market opportunity likely to be distributed across key market segments?
Reasons to Buy this Report
- The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
- Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
- The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.
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Table of Contents
SECTION I: REPORT OVERVIEW
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Airtel
- AT&T
- China Mobile
- China Unicorn
- Ciena
- Deepsig
- Deutsche Telekom
- Ericsson
- HPE
- Jio
- KDDI
- KT
- Media Tek
- National Instruments
- NTT DoCoMo
- Orange
- Qualcomm Technology
- Rakuten Mobile
- Singtel
- SK Telecom
- Telefonica
- T-Mobile
- Verizon
- Vodafone
Methodology
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