AI In Computer Vision Market

AI In Computer Vision Market Size, Share, Statistics and Industry Growth Analysis Report by Component (Hardware, Software), Function (Training, Inference), Application (Industrial, Non-industrial), End-use Industry (Automotive, Consumer Electronics) and Region - Global Forecast to 2028

Report Code: SE 6211 Feb, 2023, by marketsandmarkets.com

[255 Pages Report] The global AI in Computer Vision Market Size is expected to be valued at USD 17.2 Billion in 2023 and is projected to reach USD 45.7 Billion by 2028; it is expected to grow at a CAGR of 21.5% from 2023 to 2028.

Advancements in deep learning algorithms increased data availability, faster and cheaper computing power, and advancements in hardware technology like GPU and TPU are the driving factors of the AI in computer vision industry. Moreover, the market players are expected to benefit from the government's initiatives aimed at supporting industrial automation and integrating AI into edge devices, creating profitable opportunities for them.

AI In Computer Vision Market

AI In Computer Vision Market Forecast to 2028

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AI in Computer Vision Market Dynamics:

Driver: Increasing demand for automation and efficiency

Increasing demand for automation and efficiency is one of the key drivers for the AI in computer vision market growth. Automation and efficiency can help businesses save time and resources and improve the accuracy of decision-making processes. This is why many industries are now implementing AI computer vision technologies to automate their processes and enhance efficiency; the manufacturing industry is one example. For instance, factories can use computer vision systems to inspect products and detect defects. This allows them to recognize and address production issues more quickly and effectively, improving efficiency and reducing waste.

Restraint: High cost of acquiring and implementing AI computer vision solutions

The high cost of acquiring and implementing AI computer vision solutions is one of the key challenges in the market growth. Developing and deploying AI computer vision systems can be expensive, often requiring specialized hardware, software, and technical expertise. Acquiring and implementing these systems can be significant for organizations new to AI computer vision, including costs for hardware, software licenses, and technical support. Additionally, organizations may need to invest in training and development programs to build their technical expertise in these systems.

Opportunity: Emerging applications of AI computer vision in agriculture, logistics, and manufacturing

AI computer vision has numerous emerging applications in several fields, including agriculture, logistics, and manufacturing, which can significantly benefit from the application of this technology. AI computer vision is used in agriculture to automate various processes, such as crop monitoring, yield prediction, and disease identification. AI algorithms can analyze images of crops and provide information on their growth, health, and potential yield. This information can help farmers determine the best methods to care for their crops and improve their products.

Challenge: Maintaining trust and transparency of AI computer vision systems

Maintaining trust and transparency in AI computer vision systems is a critical challenge that the industry is facing. In critical applications such as healthcare and security, the output of AI computer vision systems can have a significant impact on individuals and society. As a result, there is a need to ensure that these systems are reliable, accurate, and transparent in their decision-making processes. One major challenge in maintaining trust and transparency is ensuring that the data used to train AI computer vision systems represents the population it is being applied to. Bias in the training data can lead to biased decisions the system makes, which can result in discrimination or other unintended consequences. Additionally, it is crucial to understand how the system arrived at a particular decision so that its outputs can be validated and potential errors can be corrected.   

AI in the computer vision market for software to hold the highest market share during the forecast period

AI in computer vision for the software segment is predicted to attain the highest market share during the forecast period. The market for AI platforms has been growing rapidly in recent years, driven by increasing demand for advanced technologies and the growing use of AI in a wide range of industries. Factors driving this growth include the increasing adoption of AI in healthcare, finance, and retail industries, as well as the growing use of AI in emerging technologies such as the Internet of Things (IoT) and edge computing. Additionally, the increasing availability of data, improvements in computing power, and advancements in machine learning algorithms have also contributed to the growth of the AI platform market.

Training function for AI in computer vision to hold the highest CAGR from 2023 to 2028

In the context of AI, training is developing an algorithm that can infer a result from data or processes. Training an AI model involves providing the learning algorithm with training data to learn from. The training data must contain the correct answer, known as a target or target attribute. The learning algorithm finds patterns in the training data, maps the input data attributes to the target, and outputs an ML model that captures these patterns. Training is computationally very expensive and is best accelerated with GPUs. The time taken to go through all the training samples can be reduced using GPU compared to CPU, even when using a small dataset.

ML and DL training are used in a wide range of industries to improve performance and efficiency. A few examples of industries that commonly use AI and ML training include healthcare, finance, retail, transportation, manufacturing, agriculture, telecommunication, media, transportation and logistics, public services, and many more.

Asia Pacific to hold the highest CAGR during the forecast period

The overall APAC region is home to a few of the fastest-growing and leading industrialized economies, such as China, South Korea, and Japan. It is witnessing dynamic changes in the adoption of recent technologies and advancements across industries. Advancements in AI have attracted investments from the private and public sectors. AI mainly finds its applicability in app-based cab aggregators and digital assistants on smartphones. Many companies are trying to identify untapped areas of commercial applications in this region, which would enable optimal utilization of AI. Public policies on the application of AI have some limitations when compared with the subtle use of AI in startups, as they have combined AI with customer services. With the advent of AI, technologies have also reached a level of maturity where they can analyze like humans in real-time. The rise of AI in computer vision is also expected to drive innovation in the retail, healthcare, and transportation industries.

AI In Computer Vision Market by Region

AI In Computer Vision Market Statistics by Region

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Key Market Players

The AI in Computer Vision Companies is dominated by players such as NVIDIA Corporation (US), Intel Corporation (US), Microsoft (US), IBM Corporation (US), Qualcomm Technologies Inc. (US), and others. The study includes an in-depth competitive analysis of these key players in the AI in Computer Vision market with their company profiles, recent developments, and key market strategies.

AI in Computer Vision Market Report Scope:

Report Metric

Details

Estimated Market Size in 2023

USD 17.2 Billion

Projected Market Size in 2028

USD 45.7 Billion

Growth Rate

CAGR of 21.5%

Market size available for years

2019-2028

Base year considered

2022

Forecast period

2023-2028

Forecast units

Value (USD Billion)

Segments covered

By Component, Function, Application, End-use Industry

Geographies covered

North America, Europe, Asia Pacific, and RoW

Companies covered

The major market players include NVIDIA Corporation (US), Intel Corporation (US), Microsoft (US), IBM Corporation (US), Qualcomm Technologies Inc. (US), Advanced Micro Devices, Inc (US), Alphabet, Inc. (US), Amazon (US), Basler AG (Germany), Hailo (US), and Groq, Inc. (US). (Total 25 players are profiled)

AI In Computer Vision Market Highlights

The study categorizes AI in the computer vision market based on the following segments:

Segment

Subsegment

AI in the computer vision market, by component

  • Hardware
  • Software

AI in the computer vision market, by function

  • Training
  • Inference

AI in the computer vision market, by application

  • Industrial
  • Non-industrial

AI in the computer vision market, by end-use Industry

  • Automotive
  • Consumer Electronics
  • Healthcare
  • Retail
  • Security & Surveillance
  • Manufacturing
  • Agriculture
  • Transportation & Logistics
  • Others

AI in the computer vision market, By region

  • North America
  • Europe
  • Asia Pacific
  • RoW

Recent Developments

  • In January 2023, Microsoft announced the third phase of its long-term partnership with OpenAI through a multiyear, multibillion-dollar investment to accelerate AI breakthroughs to ensure these benefits are broadly shared with the world.
  • In January 2023, Visteon and Qualcomm Technologies, Inc. announced that the companies intend to take their technology collaboration one step further by developing a high-performance cockpit domain controller designed to enable global automakers to build next-generation cockpits. The combination of Visteon's SmartCore software and Snapdragon Cockpit Platforms will enable automakers to deliver advanced features & functions in their next-generation cockpits quickly with production programs targeted for 2025.
  • In January 2023, IBM collaborated with Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) to formally launch an AI Center of Excellence as part of Abu Dhabi Sustainability Week's World Future Energy Summit. The Center aims to advance collaboration to improve the adoption of AI technology and help drive sustainability.
  • In December 2022, Qualcomm Incorporated announced the launch of the Africa Innovation Platform, a suite of mentorship, education, and training programs created to support the development of Africa's emerging technology ecosystem. The platform will provide resources and support for local universities, small-to-medium-sized startups, and grant participants, exposing them to Qualcomm Technologies Inc.'s engineers and its state-of-the-art capabilities suite for mobile platforms and technologies, including 4G, 5G, IoT, AI, and machine learning.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS

 
1 INTRODUCTION (Page No. - 21)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 STUDY SCOPE 
           1.3.1 MARKETS COVERED
                    FIGURE 1 SEGMENTATION OF AI IN COMPUTER VISION MARKET
           1.3.2 GEOGRAPHIC SCOPE
           1.3.3 YEARS CONSIDERED
    1.4 CURRENCY 
    1.5 STAKEHOLDERS 
    1.6 SUMMARY OF CHANGES 
 
2 RESEARCH METHODOLOGY (Page No. - 26)
    2.1 RESEARCH DATA 
           FIGURE 2 AI IN COMPUTER VISION MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
                    2.1.1.1 Major secondary sources
                    2.1.1.2 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary interviews with experts
                    2.1.2.2 Key data from primary sources
                    2.1.2.3 Key industry insights
                    2.1.2.4 Breakdown of primaries
           2.1.3 SECONDARY AND PRIMARY RESEARCH
    2.2 MARKET SIZE ESTIMATION 
           FIGURE 3 RESEARCH FLOW OF MARKET SIZE ESTIMATION
           FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE): REVENUE FROM SALES OF AI COMPUTER VISION PRODUCTS AND SOLUTIONS
           2.2.1 BOTTOM-UP APPROACH
                    2.2.1.1 Approach to arrive at market size using bottom-up analysis
                               FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 Approach to capture market share using top-down analysis (supply side)
                               FIGURE 6 TOP-DOWN APPROACH
    2.3 DATA TRIANGULATION 
           FIGURE 7 DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS 
    2.5 RISK ASSESSMENT 
           TABLE 1 RISK FACTOR ANALYSIS
    2.6 ASSUMPTIONS REGARDING RECESSION 
           TABLE 2 ASSUMPTIONS REGARDING RECESSION
    2.7 STUDY LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 38)
    3.1 RECESSION ANALYSIS 
           FIGURE 8 GDP GROWTH PROJECTION UNTIL 2023 FOR MAJOR ECONOMIES
           FIGURE 9 MARKET PROJECTIONS FOR AI IN COMPUTER VISION MARKET
    3.2 GROWTH RATE ASSUMPTIONS/FORECAST 
           FIGURE 10 SOFTWARE SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE BY 2028
           FIGURE 11 MARKET FOR INFERENCE TO CONTINUE TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD
           FIGURE 12 NON-INDUSTRIAL SEGMENT TO CONTINUE TO ACCOUNT FOR LARGER MARKET SHARE IN AI COMPUTER VISION MARKET DURING FORECAST PERIOD
           FIGURE 13 CONSUMER ELECTRONICS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE WHILE AUTOMOTIVE TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
           FIGURE 14 MARKET IN ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
 
4 PREMIUM INSIGHTS (Page No. - 45)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS AI IN COMPUTER VISION MARKET 
           FIGURE 15 GOVERNMENT INITIATIVES TO SUPPORT INDUSTRIAL AUTOMATION TO CREATE ATTRACTIVE GROWTH OPPORTUNITIES FOR MARKET PLAYERS
    4.2 MARKET IN NORTH AMERICA, BY COMPONENT AND COUNTRY 
           FIGURE 16 SOFTWARE AND US ARE LARGEST SHAREHOLDERS IN MARKET IN 2023
    4.3 MARKET, BY HARDWARE PROCESSOR TYPE 
           FIGURE 17 CPU SEGMENT TO HOLD LARGEST SHARE OF MARKET IN 2028
    4.4 MARKET, BY REGION 
           FIGURE 18 CHINA TO REGISTER HIGHEST CAGR IN MARKET BETWEEN 2023 AND 2028
 
5 MARKET OVERVIEW (Page No. - 48)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 19 MARKET DYNAMICS: AI IN COMPUTER VISION MARKET
           5.2.1 DRIVERS
                    FIGURE 20 MARKET DRIVERS: IMPACT ANALYSIS
                    5.2.1.1 Increasing demand for automation and efficiency
                    5.2.1.2 Advancements in deep learning and neural network technologies
                    5.2.1.3 Growing impact of AI in machine vision
           5.2.2 RESTRAINTS
                    FIGURE 21 MARKET RESTRAINTS: IMPACT ANALYSIS
                    5.2.2.1 Limited understanding and technical expertise in AI computer vision
                    5.2.2.2 High cost of acquiring and implementing AI computer vision solutions
                    5.2.2.3 Lack of skilled professionals in manufacturing factories
           5.2.3 OPPORTUNITIES
                    FIGURE 22 AI IN COMPUTER VISION MARKET OPPORTUNITIES: IMPACT ANALYSIS
                    5.2.3.1 Emerging applications of AI computer vision in agriculture, logistics, and manufacturing
                    5.2.3.2 Increasing use of AI computer vision in autonomous systems
                    5.2.3.3 Growing demand for real-time and high-precision visual data analysis
                    5.2.3.4 Development of machine learning pertaining to vision technology
           5.2.4 CHALLENGES
                    FIGURE 23 MARKET CHALLENGES: IMPACT ANALYSIS
                    5.2.4.1 Overcoming limitations in current AI computer vision technologies
                    5.2.4.2 Maintaining trust and transparency of AI computer vision systems
    5.3 VALUE CHAIN ANALYSIS 
           FIGURE 24 VALUE CHAIN ANALYSIS: AI IN COMPUTER VISION
    5.4 ECOSYSTEM ANALYSIS 
           FIGURE 25 KEY PLAYERS IN MARKET
           TABLE 3 ROLE OF COMPANIES IN ECOSYSTEM/VALUE CHAIN
    5.5 PORTER'S FIVE FORCES ANALYSIS 
           TABLE 4 AI IN COMPUTER VISION MARKET: PORTER'S FIVE FORCES ANALYSIS
           FIGURE 26 PORTER'S FIVE FORCES ANALYSIS: MARKET
           5.5.1 INTENSITY OF COMPETITIVE RIVALRY
           5.5.2 THREAT OF NEW ENTRANTS
           5.5.3 BARGAINING POWER OF SUPPLIERS
           5.5.4 BARGAINING POWER OF BUYERS
           5.5.5 THREAT OF SUBSTITUTES
    5.6 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.6.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
                    TABLE 5 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)
           5.6.2 BUYING CRITERIA
                    FIGURE 28 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
                    TABLE 6 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
    5.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 
           FIGURE 29 REVENUE SHIFT FOR PLAYERS IN AI COMPUTER VISION MARKET
    5.8 CASE STUDY ANALYSIS 
           5.8.1 VULCAN AI USES AI VISION AND DEEP LEARNING TO CREATE SAFER WORKPLACE
           5.8.2 AI ALGORITHMS USED IN MEDICAL IMAGE ANALYSIS BY INCORPORATING COMPUTER VISION TECHNOLOGY
           5.8.3 RETAIL: OBJECT DETECTION AND RECOGNITION
           5.8.4 TRANSPORTATION: AUTONOMOUS VEHICLE NAVIGATION
           5.8.5 AUTOMOTIVE INDUSTRY: OBJECT RECOGNITION AND CLASSIFICATION IN TRAFFIC
    5.9 TECHNOLOGY ANALYSIS 
           5.9.1 COGNITIVE ROBOTS
           5.9.2 INTERNET OF THINGS
           5.9.3 ANALYSIS OF AI CHIP AND PROCESSOR TECHNOLOGY
           TABLE 7 COMPARISON OF AI CHIP TYPES
           5.9.4 CAMERA TECHNOLOGY
                    5.9.4.1 Frame rate
                               5.9.4.1.1 <25 fps
                               5.9.4.1.2 25–125 fps
                               5.9.4.1.3 >125 fps
                    5.9.4.2 Resolution
                               5.9.4.2.1 >=40 MP
                               5.9.4.2.2 20–39 MP
                               5.9.4.2.3 6–19 MP
                               5.9.4.2.4 >2–5 MP
                               5.9.4.2.5 <2 MP
    5.10 AVERAGE SELLING PRICE ANALYSIS 
           FIGURE 30 AVERAGE SELLING PRICE OF AI IN COMPUTER VISION HARDWARE, BASED ON END-USE INDUSTRY
           5.10.1 AVERAGE SELLING PRICE OF AI IN COMPUTER VISION HARDWARE, BY KEY END-USE INDUSTRY (USD)
                    TABLE 8 AVERAGE SELLING PRICES OF AI IN COMPUTER VISION HARDWARE, BY KEY END-USE INDUSTRY (USD)
           5.10.2 AVERAGE SELLING PRICE TRENDS
                    FIGURE 31 AVERAGE SELLING PRICE ANALYSIS
           5.10.3 SUBSCRIPTION-BASED COMPUTER VISION PRICING
                    TABLE 9 SUBSCRIPTION-BASED COMPUTER VISION PRICING
    5.11 PATENT ANALYSIS 
           FIGURE 32 NUMBER OF PATENTS GRANTED IN AI IN COMPUTER VISION MARKET, 2012–2022
           TABLE 10 LIST OF A FEW PATENTS IN MARKET, 2019–2021
    5.12 TRADE ANALYSIS 
           TABLE 11 IMPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION)
           FIGURE 33 IMPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION)
           TABLE 12 EXPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION)
           FIGURE 34 EXPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION)
    5.13 TARIFF ANALYSIS 
           TABLE 13 MFN TARIFFS FOR HS CODE: 854231 EXPORTED BY CHINA
           TABLE 14 MFN TARIFFS FOR HS CODE: 851762 EXPORTED BY US
           TABLE 15 MFN TARIFF FOR HS CODE: 851762 EXPORTED BY GERMANY
    5.14 STANDARDS AND REGULATORY LANDSCAPE 
           5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    5.14.1.1 North America: Regulatory bodies, government agencies, and other organizations
                                TABLE 16 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    5.14.1.2 Europe: Regulatory bodies, government agencies, and other organizations
                                TABLE 17 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    5.14.1.3 Asia Pacific: Regulatory bodies, government agencies, and other organizations
                                TABLE 18 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    5.14.1.4 RoW: Regulatory bodies, government agencies, and other organizations
                                TABLE 19 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.14.2 STANDARDS & REGULATIONS RELATED TO MARKET
    5.15 KEY CONFERENCES AND EVENTS, 2022–2023 
           TABLE 20 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
 
6 AI IN COMPUTER VISION MARKET, BY COMPONENT (Page No. - 80)
    6.1 INTRODUCTION 
           FIGURE 35 MARKET, BY COMPONENT
           FIGURE 36 MARKET FOR SOFTWARE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
           TABLE 21 MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
           TABLE 22 MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
    6.2 HARDWARE 
           6.2.1 GROWING DEPLOYMENT OF AI INFRASTRUCTURE TO DRIVE MARKET
                    TABLE 23 MARKET, BY HARDWARE TYPE, 2019–2022 (USD MILLION)
                    TABLE 24 MARKET, BY HARDWARE TYPE, 2023–2028 (USD MILLION)
           6.2.2 HARDWARE: MARKET, BY REGION
                    TABLE 25 HARDWARE: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 26 HARDWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.3 HARDWARE: MARKET, BY FUNCTION
                    TABLE 27 HARDWARE: MARKET, BY FUNCTION, 2019–2022 (USD MILLION)
                    TABLE 28 HARDWARE: MARKET, BY FUNCTION, 2023–2028 (USD MILLION)
           6.2.4 HARDWARE: MARKET, BY END-USE INDUSTRY
                    TABLE 29 HARDWARE: MARKET, BY END-USE INDUSTRY, 2019–2022 (USD MILLION)
                    TABLE 30 HARDWARE: MARKET, BY END-USE INDUSTRY, 2023–2028 (USD MILLION)
           6.2.5 PROCESSOR
                    TABLE 31 PROCESSOR: MARKET, BY TYPE, 2019–2022 (USD MILLION)
                    TABLE 32 PROCESSOR: MARKET, BY TYPE, 2023–2028 (USD MILLION)
           6.2.6 PROCESSOR: MARKET, BY TYPE (UNIT SHIPMENT DATA)
                    TABLE 33 PROCESSOR: MARKET, BY TYPE, SHIPMENT DATA, 2019–2022 (MILLION UNITS)
                    TABLE 34 PROCESSOR: MARKET, BY TYPE, SHIPMENT DATA, 2023–2028 (MILLION UNITS)
                    6.2.6.1 CPU
                    6.2.6.2 GPU
                    6.2.6.3 ASIC
                    6.2.6.4 FPGA
           6.2.7 MEMORY
           6.2.8 STORAGE
    6.3 SOFTWARE 
           6.3.1 USE OF AI SOLUTIONS TO REDUCE VOLUME AND COMPLEXITY OF DATA TO LEAD TO MARKET GROWTH
                    TABLE 35 AI IN COMPUTER VISION MARKET, BY SOFTWARE TYPE, 2019–2022 (USD MILLION)
                    TABLE 36 MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
           6.3.2 SOFTWARE: MARKET, BY REGION
                    TABLE 37 SOFTWARE: MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 38 SOFTWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.3 SOFTWARE: MARKET, BY FUNCTION
                    TABLE 39 SOFTWARE: MARKET, BY FUNCTION, 2019–2022 (USD MILLION)
                    TABLE 40 SOFTWARE: MARKET, BY FUNCTION, 2023–2028 (USD MILLION)
           6.3.4 SOFTWARE: MARKET, BY END-USE INDUSTRY
                    TABLE 41 SOFTWARE: MARKET, BY END-USE INDUSTRY, 2019–2022 (USD MILLION)
                    TABLE 42 SOFTWARE: MARKET, BY END-USE INDUSTRY, 2023–2028 (USD MILLION)
           6.3.5 AI PLATFORM
           6.3.6 AI SOLUTION
 
7 AI IN COMPUTER VISION MARKET, BY FUNCTION (Page No. - 96)
    7.1 INTRODUCTION 
           FIGURE 37 MARKET, BY FUNCTION
           FIGURE 38 MARKET FOR TRAINING FUNCTION TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
           TABLE 43 MARKET, BY FUNCTION, 2019–2022 (USD MILLION)
           TABLE 44 MARKET, BY FUNCTION, 2023–2028 (USD MILLION)
    7.2 TRAINING 
           7.2.1 RISING ADOPTION OF MACHINE LEARNING AND DEEP LEARNING TECHNOLOGIES TO BOOST ADOPTION OF TRAINING FUNCTION FOR COMPUTER VISION MARKET
                    TABLE 45 TRAINING: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                    TABLE 46 TRAINING: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
    7.3 INFERENCE 
           7.3.1 RETAIL AND E-COMMERCE COMPANIES USE ML, AI, AND DL INFERENCE FOR TASKS SUCH AS PRODUCT RECOMMENDATIONS, PRICE OPTIMIZATION, AND INVENTORY MANAGEMENT
                    TABLE 47 INFERENCE: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                    TABLE 48 INFERENCE: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
 
8 VARIOUS MACHINE LEARNING MODELS IN COMPUTER VISION (Page No. - 101)
    8.1 INTRODUCTION 
           FIGURE 39 MACHINE LEARNING MODELS OF AI IN COMPUTER VISION MARKET
    8.2 SUPERVISED LEARNING 
           8.2.1 SUPERVISED LEARNING INCLUDES ALGORITHMS PROVIDED WITH SET OF LABELED TRAINING DATA TO LEARN
           8.2.2 CONVOLUTIONAL NEURAL NETWORKS
           8.2.3 RECURRENT NEURAL NETWORKS
    8.3 UNSUPERVISED LEARNING 
           8.3.1 MARKET FOR UNSUPERVISED LEARNING TO GROW RAPIDLY AS MORE ORGANIZATIONS ADOPT MACHINE LEARNING AND AI TECHNOLOGIES
    8.4 REINFORCEMENT LEARNING 
           8.4.1 REINFORCEMENT LEARNING ALLOWS MACHINES AND SOFTWARE AGENTS TO AUTOMATICALLY DETERMINE IDEAL BEHAVIOR TO MAXIMIZE THEIR PERFORMANCE
 
9 AI IN COMPUTER VISION MARKET, BY APPLICATION (Page No. - 105)
    9.1 INTRODUCTION 
           FIGURE 40 MARKET, BY APPLICATION
           FIGURE 41 NON-INDUSTRIAL SEGMENT TO CONTINUE TO HOLD LARGER SHARE OF MARKET DURING FORECAST PERIOD
           TABLE 49 MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
           TABLE 50 MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
    9.2 NON-INDUSTRIAL 
           9.2.1 CAMERA-ENABLED SMARTPHONES TO DRIVE MARKET FOR CONSUMER SEGMENT
    9.3 INDUSTRIAL 
           9.3.1 FACTORS SUCH AS STRINGENT GOVERNMENT REGULATIONS AND INCREASING QUALITY MAINTENANCE ACTIVITIES TO BOOST MARKET GROWTH IN VARIOUS INDUSTRIES
           9.3.2 2D MACHINE VISION
           9.3.3 3D MACHINE VISION
           9.3.4 QUALITY ASSURANCE & INSPECTION
 
10 AI IN COMPUTER VISION MARKET, BY END-USE INDUSTRY (Page No. - 111)
     10.1 INTRODUCTION 
             FIGURE 42 MARKET, BY END-USE INDUSTRY
             FIGURE 43 CONSUMER ELECTRONICS TO ACCOUNT FOR LARGEST MARKET SHARE WHILE AUTOMOTIVE TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
             TABLE 51 MARKET, BY END-USE INDUSTRY, 2019–2022 (USD MILLION)
             TABLE 52 MARKET, BY END-USE INDUSTRY, 2023–2028 (USD MILLION)
     10.2 AUTOMOTIVE 
             10.2.1 INCREASING NEED TO IMPROVE ROAD SAFETY AND REDUCE MISHAPS TO DRIVE USE OF COMPUTER VISION SOLUTIONS
                        TABLE 53 AUTOMOTIVE: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                        TABLE 54 AUTOMOTIVE: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
             10.2.2 ADAS AND INFOTAINMENT
             10.2.3 AUTONOMOUS AND SEMI-AUTONOMOUS VEHICLES
     10.3 CONSUMER ELECTRONICS 
             10.3.1 GROWING DEMAND FOR SMARTPHONES WITH FRONT AND REAR CAMERAS TO BOOST MARKET
                        TABLE 55 CONSUMER ELECTRONICS: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                        TABLE 56 CONSUMER ELECTRONICS: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
             10.3.2 GAMING
             10.3.3 CAMERAS
             10.3.4 WEARABLES
             10.3.5 SMARTPHONES
     10.4 HEALTHCARE 
             10.4.1 RISING ADOPTION OF AI IN COMPUTER VISION TECHNOLOGY IN HEALTHCARE INDUSTRY TO PROPEL MARKET
                        TABLE 57 HEALTHCARE: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                        TABLE 58 HEALTHCARE: AI IN COMPUTER VISION MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
             10.4.2 RADIOLOGY
             10.4.3 MEDICAL IMAGING
     10.5 RETAIL 
             10.5.1 MARKET FOR AI IN COMPUTER VISION IN RETAIL INDUSTRY TO GROW SIGNIFICANTLY
                        TABLE 59 RETAIL: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                        TABLE 60 RETAIL: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
     10.6 SECURITY & SURVEILLANCE 
             10.6.1 INCREASING SECURITY THREATS, RISING NEED FOR MORE EFFICIENT AND ACCURATE SECURITY SYSTEMS, AND GROWING ADOPTION OF AI-POWERED TECHNOLOGIES IN SECURITY SECTOR TO DRIVE MARKET
                        TABLE 61 SECURITY & SURVEILLANCE: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                        TABLE 62 SECURITY & SURVEILLANCE: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
             10.6.2 BIOMETRICS
             10.6.3 IMAGE AND VIDEO ANALYTICS
             10.6.4 AI-GUIDED DRONE-BASED SURVEILLANCE
     10.7 MANUFACTURING 
             10.7.1 GROWING POPULARITY OF MACHINE VISION IN MANUFACTURING AND QUALITY CONTROL TO ACCELERATE MARKET GROWTH
                        TABLE 63 MANUFACTURING: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                        TABLE 64 MANUFACTURING: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
     10.8 AGRICULTURE 
             10.8.1 INCREASING ADOPTION OF PRECISION AGRICULTURE TECHNIQUES AND RISING NEED FOR MORE EFFICIENT AND ACCURATE FARMING PRACTICES TO BOOST MARKET
                        TABLE 65 AGRICULTURE: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                        TABLE 66 AGRICULTURE: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
             10.8.2 CROP MONITORING
             10.8.3 AUTOMATED IRRIGATION SYSTEMS
     10.9 TRANSPORTATION & LOGISTICS 
             10.9.1 INCREASING USE OF COMPUTER VISION SYSTEMS IN REAL-LIFE TRAFFIC APPLICATIONS TO DRIVE MARKET
                        TABLE 67 TRANSPORTATION & LOGISTICS: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
                        TABLE 68 TRANSPORTATION & LOGISTICS: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
     10.1 OTHERS 
             TABLE 69 OTHERS: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
             TABLE 70 OTHERS: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
 
11 AI IN COMPUTER VISION MARKET, BY REGION (Page No. - 130)
     11.1 INTRODUCTION 
             FIGURE 44 MARKET IN ASIA PACIFIC TO GROW AT HIGHEST CAGR FROM 2023 TO 2028
             TABLE 71 MARKET, BY REGION, 2019–2022 (USD MILLION)
             TABLE 72 MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.2 NORTH AMERICA 
             FIGURE 45 SNAPSHOT OF MARKET IN NORTH AMERICA
             TABLE 73 NORTH AMERICA: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
             TABLE 74 NORTH AMERICA: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
             TABLE 75 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
             TABLE 76 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.2.1 NORTH AMERICA: IMPACT OF RECESSION
             11.2.2 US
                        11.2.2.1 Rising deployment of automation technologies in manufacturing plants to boost requirement for AI-powered computer vision solutions
             11.2.3 CANADA
                        11.2.3.1 Constant research on AI, ML, and NLP by Canadian universities to fuel market growth
             11.2.4 MEXICO
                        11.2.4.1 Need for AI-powered computer vision solutions in security and surveillance applications to support market growth
     11.3 EUROPE 
             FIGURE 46 SNAPSHOT OF AI IN COMPUTER VISION MARKET IN EUROPE
             TABLE 77 EUROPE: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
             TABLE 78 EUROPE: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
             TABLE 79 EUROPE: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
             TABLE 80 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.3.1 EUROPE: IMPACT OF RECESSION
             11.3.2 UK
                        11.3.2.1 Rising investments by UK government in AI and computer vision technologies to contribute to market growth
             11.3.3 GERMANY
                        11.3.3.1 Growing adoption of computer vision systems in healthcare, retail, and transportation industries to drive market growth
             11.3.4 FRANCE
                        11.3.4.1 Investments in startups for development of AI ecosystem to drive market
             11.3.5 ITALY
                        11.3.5.1 Widespread use of computer vision systems in industrial sector to boost market
             11.3.6 SPAIN
                        11.3.6.1 Presence of strong research community and expanding startup ecosystem to propel market growth
             11.3.7 REST OF EUROPE
     11.4 ASIA PACIFIC 
             FIGURE 47 SNAPSHOT OF MARKET IN ASIA PACIFIC
             TABLE 81 ASIA PACIFIC: MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
             TABLE 82 ASIA PACIFIC: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
             TABLE 83 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
             TABLE 84 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             11.4.1 ASIA PACIFIC: IMPACT OF RECESSION
             11.4.2 CHINA
                        11.4.2.1 Heavy investments in computer vision technologies for security and surveillance purposes to drive market
             11.4.3 JAPAN
                        11.4.3.1 Growing demand for autonomous vehicles to boost demand for AI in computer vision technologies across Japan
             11.4.4 INDIA
                        11.4.4.1 Growing initiatives to implement industry 4.0 to drive market
             11.4.5 SOUTH KOREA
                        11.4.5.1 Increasing government spending to boost AI infrastructure
             11.4.6 REST OF ASIA PACIFIC
     11.5 ROW 
             TABLE 85 ROW: AI IN COMPUTER VISION MARKET, BY COMPONENT, 2019–2022 (USD MILLION)
             TABLE 86 ROW: MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
             TABLE 87 ROW: MARKET, BY REGION, 2019–2022 (USD MILLION)
             TABLE 88 ROW: MARKET, BY REGION, 2023–2028 (USD MILLION)
             11.5.1 ROW: IMPACT OF RECESSION
             11.5.2 MIDDLE EAST & AFRICA
                        11.5.2.1 Investments to promote automation in electronics and medical applications to benefit market
             11.5.3 SOUTH AMERICA
                        11.5.3.1 Growing application of AI technologies to overcome physical limitations of capital and labor to fuel market
 
12 COMPETITIVE LANDSCAPE (Page No. - 153)
     12.1 OVERVIEW 
     12.2 STRATEGIES ADOPTED BY KEY PLAYERS/RIGHT TO WIN 
             TABLE 89 OVERVIEW OF STRATEGIES DEPLOYED BY AI IN COMPUTER VISION OEMS
     12.3 COMPANY REVENUE ANALYSIS, 2022 
             12.3.1 3-YEAR AI IN COMPUTER VISION REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2022
                        FIGURE 48 3-YEAR AI IN COMPUTER VISION REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2022
     12.4 MARKET SHARE ANALYSIS, 2022 
             FIGURE 49 SHARE OF MAJOR PLAYERS IN MARKET, 2022
             12.4.1 AI IN COMPUTER VISION MARKET: DEGREE OF COMPETITION
                        TABLE 90 MARKET: DEGREE OF COMPETITION
     12.5 COMPANY EVALUATION QUADRANT 
             12.5.1 STARS
             12.5.2 PERVASIVE PLAYERS
             12.5.3 EMERGING LEADERS
             12.5.4 PARTICIPANTS
                        FIGURE 50 MARKET: COMPANY EVALUATION QUADRANT, 2022
     12.6 STARTUP/SME EVALUATION QUADRANT 
             12.6.1 PROGRESSIVE COMPANIES
             12.6.2 RESPONSIVE COMPANIES
             12.6.3 DYNAMIC COMPANIES
             12.6.4 STARTING BLOCKS
                        FIGURE 51 MARKET: STARTUP/SME EVALUATION QUADRANT, 2022
     12.7 AI IN COMPUTER VISION MARKET: COMPANY FOOTPRINT 
           TABLE 91 FOOTPRINT OF COMPANIES
           TABLE 92 END-USE INDUSTRY FOOTPRINT OF COMPANIES
           TABLE 93 PRODUCT FOOTPRINT OF COMPANIES
           TABLE 94 REGIONAL FOOTPRINT OF COMPANIES
     12.8 STARTUP EVALUATION MATRIX 
             12.8.1 LIST OF STARTUPS: MARKET
                        TABLE 95 LIST OF STARTUPS: MARKET
             12.8.2 STARTUP MATRIX: DETAILED LIST OF KEY STARTUPS
                        TABLE 96 STARTUP MATRIX: DETAILED LIST OF KEY STARTUPS
                        TABLE 97 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS, BY COMPONENT
                        TABLE 98 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS, BY REGION
     12.9 COMPETITIVE SCENARIO AND TRENDS 
             12.9.1 DEALS
                        TABLE 99 MARKET: DEALS, 2020–2023
                        TABLE 100 MARKET: PRODUCT LAUNCHES, 2020–2022
 
13 COMPANY PROFILES (Page No. - 181)
(Business overview, Products/Solutions/Services offered, Recent developments & MnM View)*  
     13.1 KEY PLAYERS 
             13.1.1 NVIDIA CORPORATION
                        TABLE 101 NVIDIA CORPORATION: BUSINESS OVERVIEW
                        FIGURE 52 NVIDIA CORPORATION: COMPANY SNAPSHOT
                        TABLE 102 NVIDIA CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 103 NVIDIA CORPORATION: DEALS
                        TABLE 104 NVIDIA CORPORATION: PRODUCT LAUNCHES AND DEVELOPMENTS
             13.1.2 IBM CORPORATION
                        TABLE 105 IBM CORPORATION: BUSINESS OVERVIEW
                        FIGURE 53 IBM CORPORATION: COMPANY SNAPSHOT
                        TABLE 106 IBM CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 107 IBM CORPORATION: DEALS
                        TABLE 108 IBM CORPORATION: PRODUCT LAUNCHES AND DEVELOPMENTS
             13.1.3 MICROSOFT CORPORATION
                        TABLE 109 MICROSOFT CORPORATION: BUSINESS OVERVIEW
                        FIGURE 54 MICROSOFT CORPORATION: COMPANY SNAPSHOT
                        TABLE 110 MICROSOFT CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 111 MICROSOFT CORPORATION: DEALS
                        TABLE 112 MICROSOFT CORPORATION: PRODUCT LAUNCHES AND DEVELOPMENTS
             13.1.4 QUALCOMM TECHNOLOGIES, INC.
                        TABLE 113 QUALCOMM TECHNOLOGIES, INC.: BUSINESS OVERVIEW
                        FIGURE 55 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
                        TABLE 114 QUALCOMM TECHNOLOGIES, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 115 QUALCOMM TECHNOLOGIES, INC.: DEALS
                        TABLE 116 QUALCOMM: PRODUCT LAUNCHES
             13.1.5 INTEL CORPORATION
                        TABLE 117 INTEL CORPORATION: BUSINESS OVERVIEW
                        FIGURE 56 INTEL CORPORATION: COMPANY SNAPSHOT
                        TABLE 118 INTEL CORPORATION: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 119 INTEL CORPORATION: PRODUCT LAUNCHES AND DEVELOPMENTS
                        TABLE 120 INTEL CORPORATION: DEALS
             13.1.6 ADVANCED MICRO DEVICES, INC.(AMD)
                        TABLE 121 ADVANCED MICRO DEVICES, INC (AMD): BUSINESS OVERVIEW
                        FIGURE 57 ADVANCED MICRO DEVICES, INC (AMD): COMPANY SNAPSHOT
                        TABLE 122 ADVANCED MICRO DEVICES, INC (AMD): PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 123 ADVANCED MICRO DEVICES, INC (AMD): DEALS
                        TABLE 124 ADVANCED MICRO DEVICES, INC (AMD): PRODUCT LAUNCHES AND DEVELOPMENTS
             13.1.7 ALPHABET, INC.
                        TABLE 125 ALPHABET, INC.: BUSINESS OVERVIEW
                        FIGURE 58 ALPHABET, INC.: COMPANY SNAPSHOT
                        TABLE 126 ALPHABET, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 127 ALPHABET, INC.: DEALS
                        TABLE 128 ALPHABET, INC.: PRODUCT LAUNCHES AND DEVELOPMENTS
             13.1.8 BASLER AG
                        TABLE 129 BASLER AG: BUSINESS OVERVIEW
                        FIGURE 59 BASLER AG: COMPANY SNAPSHOT
                        TABLE 130 BASLER AG: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 131 BASLER AG: PRODUCT LAUNCHES AND DEVELOPMENTS
             13.1.9 AMAZON.COM, INC.
                        TABLE 132 AMAZON.COM, INC.: BUSINESS OVERVIEW
                        FIGURE 60 AMAZON.COM, INC: COMPANY SNAPSHOT
                        TABLE 133 AMAZON.COM, INC: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 134 AMAZON.COM, INC: PRODUCT LAUNCHES
                        TABLE 135 AMAZON.COM, INC: DEALS
             13.1.10 GROQ, INC.
                        TABLE 136 GROQ, INC.: BUSINESS OVERVIEW
                        TABLE 137 GROQ, INC.: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 138 GROQ, INC.: DEALS
             13.1.11 HAILO
                        TABLE 139 HAILO.: BUSINESS OVERVIEW
                        TABLE 140 HAILO: PRODUCT/SOLUTION/SERVICE OFFERINGS
                        TABLE 141 HAILO: DEALS
                        TABLE 142 HAILO: PRODUCT LAUNCHES
*Details on Business overview, Products/Solutions/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.  
     13.2 OTHER KEY PLAYERS 
             13.2.1 SIGHTHOUND, INC.
             13.2.2 NEURALA, INC
             13.2.3 DATAGEN
             13.2.4 GRAPHCORE
             13.2.5 GROOPIC
             13.2.6 ULTRALEAP
             13.2.7 ALGOLUX
             13.2.8 ATHENA SECURITY
             13.2.9 SNORKEL AI
             13.2.10 VIZSEEK
             13.2.11 ROBOTIC VISION TECHNOLOGIES
             13.2.12 CREATIVE VIRTUAL
             13.2.13 AMP ROBOTICS
             13.2.14 CUREMETRIX
             13.2.15 VERTA INC.
 
14 APPENDIX (Page No. - 247)
     14.1 DISCUSSION GUIDE 
     14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     14.3 CUSTOMIZATION OPTIONS 
     14.4 RELATED REPORTS 
     14.5 AUTHOR DETAILS 
 

This research study involved extensive secondary sources, directories, and databases such as Hoovers, Bloomberg, Businessweek, Factiva, and OneSource to identify and collect information useful for a technical, market-oriented, and commercial study of AI in the computer vision market. Primary sources were several experts from core and related industries and preferred suppliers, manufacturers, distributors, service providers, technology developers, and organizations related to all segments of the value chain of AI in the computer vision ecosystem.

In-depth interviews with various primary respondents, such as key industry participants, subject matter experts (SMEs), C-level executives of key market players, and industry consultants, were conducted to obtain and verify critical qualitative and quantitative information to assess future market prospects.

Secondary Research

In the secondary research process, various secondary sources have been referred to for identifying and collecting information important for this study. The secondary sources include annual reports, press releases, and investor presentations of companies; white papers; journals and certified publications; and articles from recognized authors, websites, directories, and databases. Secondary research has been conducted to obtain key information about the industry’s supply chain, market’s value chain, the total pool of key players, market segmentation according to the industry trends (to the bottom-most level), geographic markets, and key developments from both market- and technology-oriented perspectives. The secondary data has been collected and analyzed to arrive at the overall market size, which has further been validated by primary research.

Primary Research

Extensive primary research was conducted after gaining knowledge about the current scenario of the AI in computer vision market through secondary research. Several primary interviews were conducted with experts from both demand and supply sides across four major regions—North America, Europe, Asia Pacific, and RoW. This primary data was collected through questionnaires, emails, and telephonic interviews.

AI In Computer Vision Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the size of AI in the computer vision market and its various dependent submarkets. The key players in the market were identified through secondary research, and their market share in the respective regions was determined through primary and secondary research. This entire procedure involved the study of annual and financial reports of top players and extensive interviews with industry leaders such as chief executive officers (CEOs), vice presidents (VPs), directors, and marketing executives. All percentage shares and breakdowns were determined using secondary sources and verified through primary sources. All the possible parameters that affect the markets covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data was consolidated and supplemented with detailed inputs and analysis from MarketsandMarkets and presented in this report.

Bottom-Up Approach

The bottom-up approach was used to arrive at the overall size of AI in the computer vision market from the revenues of the key players and their shares in the market. The overall market size was calculated based on the revenues of the key players identified in the market.

  • Identifying various end-user industries using or expected to implement AI in computer vision
  • Analyzing each end-user industry and application, along with the major related companies and computer vision hardware and software providers, and identifying service providers for the implementation of AI
  • Estimating the AI in the computer vision market for end-user industries
  • Understanding the demand generated by companies operating across different end-use applications
  • Tracking the ongoing and upcoming implementation of projects based on AI by end-user industries and forecasting the market based on these developments and other critical parameters
  • Carrying out multiple discussions with the key opinion leaders to understand the type of AI technology-based products and services and software designed and developed by end-user industries. This information would help analyze the breakdown of the scope of work carried out by each major company in the AI in the computer vision market
  • Arriving at the market estimates by analyzing AI in computer vision companies as per their countries and subsequently combining this information to arrive at the market estimates by region
  • Verifying and cross-checking the estimates at every level through discussions with the key opinion leaders, including CXOs, directors, and operations managers, and finally with domain experts at MarketsandMarkets
  • Studying various paid and unpaid sources of information, such as annual reports, press releases, white papers, and databases

Top-Down Approach

In the top-down approach, the overall market size has been used to estimate the size of the individual markets (mentioned in the market segmentation) through percentage splits from secondary and primary research.

To calculate the market size of specific segments, the most appropriate immediate parent market size has been used to implement the top-down approach. The bottom-up approach was implemented for the data extracted from the secondary research to validate the market size obtained.

The market share of each company was estimated to verify the revenue shares used earlier in the bottom-up approach. The overall parent market size and individual market sizes were determined and confirmed in this study by the data triangulation method and the validation of data through primaries. The data triangulation method used in this study is explained in the next section.

  • Focusing on top-line investments and expenditures being made in the ecosystems of various end-user industries. Additionally, listing key developments, analyzing updated technology and software in the marketplace, as well as evaluating the market by further splitting it into various AI technologies
  • Building and developing the information related to the market revenue generated by key AI in computer vision manufacturers
  • Conducting multiple on-field discussions with the key opinion leaders involved in the development of AI in computer vision products in various end-user industries
  • Estimating geographic splits using secondary sources based on various factors, such as the number of players in a specific country and region, the type of AI in computer vision, and the level of services offered in end-user industries
  • Impact of the recession on the steps mentioned above has also been considered

Data Triangulation

After arriving at the overall size of the AI in computer vision market from the market size estimation process explained above, the total market was split into several segments and subsegments. Data triangulation procedures were employed wherever applicable to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The data was triangulated by studying various factors and trends from both, demand, and supply sides. In addition to this, the market size was validated using top-down and bottom-up approaches

Study Objectives

  • To define, describe, and forecast the AI in computer vision market based on component, function, application, and end-use industry
  • To forecast the shipment data of AI in computer vision hardware market based on processor types
  • To forecast the size of the market segments for four major regions—North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW)
  • To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
  • To study the complete value chain and allied industry segments and perform a value chain analysis of the market
  • To strategically profile the key players and comprehensively analyze their market shares and core competencies2
  • To analyze the opportunities in the market for stakeholders and describe the competitive landscape of the market
  • To analyze competitive developments such as joint ventures, collaborations, agreements, contracts, partnerships, mergers & acquisitions, product developments, and research & development (R&D) in the market
  • To analyze the impact of the recession on AI in the computer vision market

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Report Code
SE 6211
Published ON
Feb, 2023
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