Computer Vision Software Market Synopsis

Computer Vision Software Market Size Was Valued at USD 18.06 Billion in 2023 and is Projected to Reach USD 85.92 Billion by 2032, Growing at a CAGR of 18.92% From 2024-2032.

Computer vision system is a set of tools and algorithms that enables a machine to capture images, process and analyze it to derive numerical or symbolic data usually a decision. Every application demands its unique modifications and optimization to the computer vision algorithm as well as the fundamental building blocks of the algorithms are rather similar.

Computer vision can be described as the attempt and implementation of engineering and computer sciences to solve a wide variety of tasks and depict visual signal processing procedures. It contains many useful sub-topics which are useful on their own, including image processing (the topic of how to transform, encode and transmit images) statistical pattern classification (an application of statistical decision theory to general patterns, it doesn’t have to be visual). As it is seen today, all major industries are looking forward to implementing computer vision and AI vision in their functioning; therefore, it is projected that the market for it is appropriate to grow at a very high rate in the near future.

• Computer vision is a technique by which computers can get an understanding of digital or graphical images, as well as movies. They are sentient creatures, which enable them to view the world and experience things as humans do. This has been made possible due to future advancements in artifical intelligence, visual system procedures as well as computing ability. By definition, the essential characteristic of these systems is data or image acquisition, processing and sorting or categorization.
• AI is currently trending significantly in computer vision since it is applied in many situations like computer vision for consumer drones semi- autonomous and Self-driving cars. Recent advancements in the highly developed optics, vision chips and in-circuit chips, along with deep learning algorithms have accelerated the adoption of computer vision systems in several sectors such as health care, education, robot control, manufacturing, retail, consumer electronics and security surveillance.
• Facial recognition and biometric scanning help make computer vision systems increase the level of security of certain assets. Smartphone security is the most typical usage of facial recognition systems of computer vision systems that can differentiate the above-mentioned pattern in human retinas and iris. Moreover, the advanced uses of facial recognition involve areas such as security systems that is a commercial or a home security system that unlocks doors using the physiology of the person.
• Commercial interests like banks and laboratories with high security also undergo fingerprints for securing doors to secure areas such as vaults and research stations. As businesses seek computer vision for foods, to identify items with the wrong labels and quality products, factors increasing the market over the forecast period. However, there are still some issues and challenges that can hinder the market and its growth, including the following: The computer vision system is quite costly, and this factor limits the growth of this market. Similarly, factors such as a low penetration rate of computer vision systems present a staggering market over the forecast period.

​​​​​​​

Computer Vision Software Market Trend Analysis

Surging Requirement of Computer Vision

• The growth in this market has been propelled by a sustained growth in technology such as artificial intelligence and machine learning to support the increasing adoption of computer vision to support the automating of industries. This foresight service that has the ability of recognizing and analyzing images as humans’ is being incorporated in various fields. The accelerating trends of industries are automotive, healthcare, retail and security for incorporating the computer vision deployment to improve the productivity, reliability, and security.
• A crucial application of computer vision in the auto-mobile industrial scenario involves the deployment of advanced driver assistance systems and self-driving cars. They make use of image processing in identifying objects and lanes and recognizing traffic signs, all very crucial when it comes to safety and comfort of the driver. Health care is probably the most progressed field leveraging CV technology in diagnostic imaging and patients’ monitoring, which helps to improve the diagnostic outcomes and treat patients better, of course.
• Advanced technologies like facial recognition, augmented reality, motion sensors, RFID tags, and AI and machine learning are used in computer vision to enhance the buying experience of customers and for managing stocks and stores. Another group of technologies that have benefited from the developments in computer vision are security and surveillance systems that have been enhanced by threat detection and response time that comes with image and video analysis.
• They are the computer vision software market trends, opportunities, and challenges that will define the progress of CV in various sectors and to which great potential will be attributed to these applications together with the advancements in AI algorithms and hardware. It is an important sign pointing toward further development of smarter, more automated systems capable of handling complex visual classification problems on their own, leading to less human error and lower operational expenses with greater overall effectiveness.

Utilization Across Various Sectors

• Computer vision software is one of the most vibrant segments and its growth is attributed to the phenomenon that has continued to dominate industries; the integration of AI and machine learning to various sectors. This trendlays down the foundation for boosting the significance of automation and intelligent systems in the current manufacturing markets.
• ADAS and autonomous vehicles in the automotive sector require computer vision for the applications in the identification of the environment. These technologies based in computer vision for the detection of objects, lane departure warning and accurate traffic sign recognition for increased safety an driving comfortance. In the context of continuing developments in technology, healthcare treatments that are agent-based include computer vision’s contribution to diagnosing illnesses through images and monitoring of patients.
• Computer vision is being applied in the merchandising part to efficiently manage the supply chain, implement new quick checkout solutions, and serve as a basis for look-as-request and recommender systems. Computer vision enhances security and surveillance systems as it enables threat detection, and response time that cannot be achieved by basic image or video option.
• Moreover, computer vision is also used in the manufacturing industry for monitoring processes and ensuring product quality as well as to avoid unnecessary machine stoppages leading to high operational costs. The function in agriculture is especially useful in crop monitoring and yield prediction to improve the farmers yield and create sustainable farming methods.

Computer Vision Software Market Segment Analysis:

Computer Vision Software Market is segmented on the basis of Components, Product and Application

By Components, Hardware segment is expected to dominate the market during the forecast period.

• The computer vision market, while categorized by components into hardware and software, has a strong and constant growth rate due to the continuous advancement in technology and utilization across industries. Basically, hardware comprises of the equipment’s that are used for the acquisition of the visuals and the gadgets that are used to decode the visuals these include; Camera: These are the devices that are used in the acquisition of visuals. Cutting-edge image processing and advanced lenses are essential for collecting high-quality stills and videos, and effective processing chips for identifying and responding to occurrences on the spot. The evolution of edge computing which enables computation to happen on the endpoint rather than always relying on a centralized server has also advanced the computer vision field by boosting the rates of the applications.
• Software component entails features and packages that allow for decision making and processing of visual information. Deep learning algorithms and computer visioning systems use strategies that are critical in the creation of secure and efficient programs to recognize patterns, objects and even make decisions from computer images. Software platforms also give developers the tools by which they can develop, test, and deliver applications of computer vision to various enterprises.
• In the automotive industry, both the hardware and software make up the required aspects for the designing of ADAS and autonomous vehicles. In healthcare, they facilitate accurate imaging, as well as, oversights in the patient’s condition. Some of the technologies that are common are the following: Retailers use these for better record keeping regarding the stocks while the security systems that are in place get better coverage.
• The Computer Vision Software market is expected to have a strong sales growth in a balanced perspective of the future: advancements in Artificial Intelligence & Machine Learning and expanding applications across industries. This growth clearly underlines the significance of both hod. The ware and software in furthering the prospects and deployments of the computer vision technology in the near and distant future.

By Product, PC-Based Computer Vision System segment held the largest share in 2023

• Computer vision software and PC- and smart camera-based computer vision systems make up the majority of the market for computer vision, which is divided into product categories. Smart camera-based computer vision systems integrate a camera and a processor, often designed for specific applications like security, surveillance, and industrial automation. These systems are well known for their portability, simplicity of installation, and capacity for real-time analysis, which makes them ideal for activities involving on-the-edge computing when prompt decision-making is essential.
• PC-Based Computer Vision Systems use the strength of industrial or home PCs to execute sophisticated image processing operations. These systems are more flexible and powerful computationally, which makes them perfect for applications like advanced industrial processes, scientific research, and medical imaging that need to analyze large amounts of data. PC-based systems' versatility makes it simple to integrate them with a variety of software programs and perform upgrades.
• The foundation of PC-based systems and smart cameras alike is computer vision software, which includes tools and algorithms for image processing, pattern recognition, and machine learning. This program makes it possible to extract useful information from visual inputs, making tasks like item detection, facial recognition, and scene comprehension easier. Software plays a critical role in order to maximize hardware capabilities and enable complex analytics and decision-making procedures.
• Artificial intelligence developments, rising automation needs, and the proliferation of IoT devices are driving the market for these technologies, which provide substantial growth and innovation across a range of industries.

Computer Vision Software Market Regional Insights:

Asia-Pacific is expected to witness significant growth during the forecast period.

• The analysis of the key trends in the Asia-Pacific computer vision software business shows that the market’s growth forecasted for the future period is going to be quite high. One can attribute this to various factors such as rapid industrialization, technological evolvement, and the advancement of automation in many chief industries.
• Large number of industries like automotive industry, consumer electronics, healthcare and retail industries are some of the main very factors still driving growth in the Asia-Pacific region. Some of the vision leadership countries and markets include China, Japan, South Korea, and India which have incorporated the computer vision technology in supply chain. Thus, computer vision has been adopted specifically by the automotive industry to develop assistance systems, such as ADAS and several generations of fully autonomous vehicles which are fuelling market growth.
• The usage of IoT and smart devices is on the rise and this is pressuring the software developers to start incorporating more of computer vision. As the number of interconnected electronic devices grows, there is a rising requirement for subtle picture evaluation and recognition, which drives the progress of various computer vision approaches and technologies.
• Additionally, the area has directed big funds in machine learning (ML) as well as artificial intelligence that have enhance the computer vision system. Modern state and corporate budgets finance AI initiatives, creating favorable conditions for computer vision.
• The public and private sectors are investing more in AI projects, which means that the conditions for the development and application of computer vision technologies are gradually improving.
• Due to the region’s increasing focus on technologу, growth of GaP, and increasing population of computerliterаte people, the Asia-Pacific region’s computer vision software market is expected to experience significant growth in the near future.

Active Key Players in the Computer Vision Software Market

• Cognex Corporation (U.S.)
• Basler AG (Germany)
• Omron Corporation (Japan)
• KEYENCE CORPORATION (Japan)
• National Instruments Corp (U.S.)
• Sony Corporation (Japan)
• Teledyne (U.S.)
• Allied Vision Technologies GmbH (Germany)
• Texas Instruments Incorporated (U.S.)
• Intel Corporation (U.S.)
• Baumer (Germany)
• JAI (Denmark)
• MediaTek, Inc. (Taiwan)
• Cadence Design Systems, Inc. (U.S.)
• CEVA, Inc. (U.S.)
• Synopsys, Inc. (U.S.)
• Other Key Players

1. INTRODUCTION
   1. RESEARCH OBJECTIVES
   2. RESEARCH METHODOLOGY
   3. RESEARCH PROCESS
   4. SCOPE AND COVERAGE
      1. Market Definition
      2. Key Questions Answered
   5. MARKET SEGMENTATION
2. EXECUTIVE SUMMARY
3. MARKET OVERVIEW
4. GROWTH OPPORTUNITIES BY SEGMENT
5. MARKET LANDSCAPE
   1. PORTER’S FIVE FORCES ANALYSIS
      1. Bargaining Power Of Supplier
      2. Threat Of New Entrants
      3. Threat Of Substitutes
      4. Competitive Rivalry
      5. Bargaining Power Among Buyers
   2. INDUSTRY VALUE CHAIN ANALYSIS
   3. MARKET DYNAMICS
      1. Drivers
      2. Restraints
      3. Opportunities
      4. Challenges
   4. MARKET TREND ANALYSIS
   5. REGULATORY LANDSCAPE
   6. PESTLE ANALYSIS
   7. PRICE TREND ANALYSIS
   8. PATENT ANALYSIS
   9. TECHNOLOGY EVALUATION
   10. MARKET IMPACT OF THE RUSSIA-UKRAINE WAR
       1. Geopolitical Market Disruptions
       2. Supply Chain Disruptions
       3. Instability in Emerging Markets
   11. ECOSYSTEM
6. COMPUTER VISION SOFTWARE MARKET BY COMPONENTS (2017-2032)
   1. COMPUTER VISION SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. HARDWARE
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. SOFTWARE
7. COMPUTER VISION SOFTWARE MARKET BY PRODUCT (2017-2032)
   1. COMPUTER VISION SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. SMART CAMERA-BASED COMPUTER VISION SYSTEM
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. PC-BASED COMPUTER VISION SYSTEM
8. COMPUTER VISION SOFTWARE MARKET BY APPLICATION (2017-2032)
   1. COMPUTER VISION SOFTWARE MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. AUTOMOTIVE
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. FOOD & BEVERAGE
   5. SPORTS & ENTERTAINMENT
   6. ROBOTICS
   7. MEDICAL
9. COMPANY PROFILES AND COMPETITIVE ANALYSIS
   1. COMPETITIVE LANDSCAPE
      1. Competitive Positioning
      2. Computer Vision Software Market Share By Manufacturer (2023)
      3. Industry BCG Matrix
      4. Heat Map Analysis
      5. Mergers & Acquisitions
   2. COGNEX CORPORATION (U.S.)
      1. Company Overview
      2. Key Executives
      3. Company Snapshot
      4. Role of the Company in the Market
      5. Sustainability and Social Responsibility
      6. Operating Business Segments
      7. Product Portfolio
      8. Business Performance (Production Volume, Sales Volume, Sales Margin, Production Capacity, Capacity Utilization Rate)
      9. Key Strategic Moves And Recent Developments
      10. SWOT Analysis
   3. BASLER AG (GERMANY)
   4. OMRON CORPORATION (JAPAN)
   5. KEYENCE CORPORATION (JAPAN)
   6. NATIONAL INSTRUMENTS CORP (U.S.)
   7. SONY CORPORATION (JAPAN)
   8. TELEDYNE (U.S.)
   9. ALLIED VISION TECHNOLOGIES GMBH (GERMANY)
   10. TEXAS INSTRUMENTS INCORPORATED (U.S.)
   11. INTEL CORPORATION (U.S.)
   12. BAUMER (GERMANY)
   13. JAI (DENMARK)
   14. MEDIATEK, INC. (TAIWAN)
   15. CADENCE DESIGN SYSTEMS, INC. (U.S.)
   16. CEVA, INC. (U.S.)
   17. SYNOPSYS, INC. (U.S.)
10. GLOBAL COMPUTER VISION SOFTWARE MARKET BY REGION
    1. OVERVIEW
    2. NORTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Components
       4. Historic And Forecasted Market Size By Product
       5. Historic And Forecasted Market Size By Application
       6. Historic And Forecasted Market Size By Country
          1. USA
          2. Canada
          3. Mexico
    3. EASTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Russia
          2. Bulgaria
          3. The Czech Republic
          4. Hungary
          5. Poland
          6. Romania
          7. Rest Of Eastern Europe
    4. WESTERN EUROPE
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Germany
          2. United Kingdom
          3. France
          4. The Netherlands
          5. Italy
          6. Spain
          7. Rest Of Western Europe
    5. ASIA PACIFIC
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. China
          2. India
          3. Japan
          4. South Korea
          5. Malaysia
          6. Thailand
          7. Vietnam
          8. The Philippines
          9. Australia
          10. New-Zealand
          11. Rest Of APAC
    6. MIDDLE EAST & AFRICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Turkey
          2. Bahrain
          3. Kuwait
          4. Saudi Arabia
          5. Qatar
          6. UAE
          7. Israel
          8. South Africa
    7. SOUTH AMERICA
       1. Key Market Trends, Growth Factors And Opportunities
       2. Key Manufacturers
       3. Historic And Forecasted Market Size By Segments
       4. Historic And Forecasted Market Size By Country
          1. Brazil
          2. Argentina
          3. Rest of South America
11. INVESTMENT ANALYSIS
12. ANALYST VIEWPOINT AND CONCLUSION
    1. Recommendations and Concluding Analysis
    2. Potential Market Strategies

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. COMPUTER VISION SOFTWARE MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. COMPUTER VISION SOFTWARE MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. COMPUTER VISION SOFTWARE MARKET COMPETITIVE RIVALRY
TABLE 005. COMPUTER VISION SOFTWARE MARKET THREAT OF NEW ENTRANTS
TABLE 006. COMPUTER VISION SOFTWARE MARKET THREAT OF SUBSTITUTES
TABLE 007. COMPUTER VISION SOFTWARE MARKET BY TYPE
TABLE 008. ON-PREMISES MARKET OVERVIEW (2016-2028)
TABLE 009. CLOUD BASED MARKET OVERVIEW (2016-2028)
TABLE 010. COMPUTER VISION SOFTWARE MARKET BY APPLICATION
TABLE 011. APPLICATION A MARKET OVERVIEW (2016-2028)
TABLE 012. APPLICATION B MARKET OVERVIEW (2016-2028)
TABLE 013. APPLICATION C MARKET OVERVIEW (2016-2028)
TABLE 014. NORTH AMERICA COMPUTER VISION SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 015. NORTH AMERICA COMPUTER VISION SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 016. N COMPUTER VISION SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 017. EUROPE COMPUTER VISION SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 018. EUROPE COMPUTER VISION SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 019. COMPUTER VISION SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 020. ASIA PACIFIC COMPUTER VISION SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 021. ASIA PACIFIC COMPUTER VISION SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 022. COMPUTER VISION SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 023. MIDDLE EAST & AFRICA COMPUTER VISION SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 024. MIDDLE EAST & AFRICA COMPUTER VISION SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 025. COMPUTER VISION SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 026. SOUTH AMERICA COMPUTER VISION SOFTWARE MARKET, BY TYPE (2016-2028)
TABLE 027. SOUTH AMERICA COMPUTER VISION SOFTWARE MARKET, BY APPLICATION (2016-2028)
TABLE 028. COMPUTER VISION SOFTWARE MARKET, BY COUNTRY (2016-2028)
TABLE 029. MICROSOFT: SNAPSHOT
TABLE 030. MICROSOFT: BUSINESS PERFORMANCE
TABLE 031. MICROSOFT: PRODUCT PORTFOLIO
TABLE 032. MICROSOFT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 032. AWS: SNAPSHOT
TABLE 033. AWS: BUSINESS PERFORMANCE
TABLE 034. AWS: PRODUCT PORTFOLIO
TABLE 035. AWS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 035. OPENCV: SNAPSHOT
TABLE 036. OPENCV: BUSINESS PERFORMANCE
TABLE 037. OPENCV: PRODUCT PORTFOLIO
TABLE 038. OPENCV: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 038. GOOGLE: SNAPSHOT
TABLE 039. GOOGLE: BUSINESS PERFORMANCE
TABLE 040. GOOGLE: PRODUCT PORTFOLIO
TABLE 041. GOOGLE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 041. SIGHT MACHINE: SNAPSHOT
TABLE 042. SIGHT MACHINE: BUSINESS PERFORMANCE
TABLE 043. SIGHT MACHINE: PRODUCT PORTFOLIO
TABLE 044. SIGHT MACHINE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 044. SCIKIT-IMAGE: SNAPSHOT
TABLE 045. SCIKIT-IMAGE: BUSINESS PERFORMANCE
TABLE 046. SCIKIT-IMAGE: PRODUCT PORTFOLIO
TABLE 047. SCIKIT-IMAGE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 047. CLARIFAI: SNAPSHOT
TABLE 048. CLARIFAI: BUSINESS PERFORMANCE
TABLE 049. CLARIFAI: PRODUCT PORTFOLIO
TABLE 050. CLARIFAI: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 050. XIMILAR: SNAPSHOT
TABLE 051. XIMILAR: BUSINESS PERFORMANCE
TABLE 052. XIMILAR: PRODUCT PORTFOLIO
TABLE 053. XIMILAR: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 053. HIVE: SNAPSHOT
TABLE 054. HIVE: BUSINESS PERFORMANCE
TABLE 055. HIVE: PRODUCT PORTFOLIO
TABLE 056. HIVE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 056. IBM: SNAPSHOT
TABLE 057. IBM: BUSINESS PERFORMANCE
TABLE 058. IBM: PRODUCT PORTFOLIO
TABLE 059. IBM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 059. ALIBABA: SNAPSHOT
TABLE 060. ALIBABA: BUSINESS PERFORMANCE
TABLE 061. ALIBABA: PRODUCT PORTFOLIO
TABLE 062. ALIBABA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 062. SIGHTHOUND: SNAPSHOT
TABLE 063. SIGHTHOUND: BUSINESS PERFORMANCE
TABLE 064. SIGHTHOUND: PRODUCT PORTFOLIO
TABLE 065. SIGHTHOUND: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. COMPUTER VISION SOFTWARE MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. COMPUTER VISION SOFTWARE MARKET OVERVIEW BY TYPE
FIGURE 012. ON-PREMISES MARKET OVERVIEW (2016-2028)
FIGURE 013. CLOUD BASED MARKET OVERVIEW (2016-2028)
FIGURE 014. COMPUTER VISION SOFTWARE MARKET OVERVIEW BY APPLICATION
FIGURE 015. APPLICATION A MARKET OVERVIEW (2016-2028)
FIGURE 016. APPLICATION B MARKET OVERVIEW (2016-2028)
FIGURE 017. APPLICATION C MARKET OVERVIEW (2016-2028)
FIGURE 018. NORTH AMERICA COMPUTER VISION SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 019. EUROPE COMPUTER VISION SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 020. ASIA PACIFIC COMPUTER VISION SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 021. MIDDLE EAST & AFRICA COMPUTER VISION SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 022. SOUTH AMERICA COMPUTER VISION SOFTWARE MARKET OVERVIEW BY COUNTRY (2016-2028)