AI in Computer Vision Market by Component, Machine Learning Models, Function, Application (Industrial, Non-Industrial), End-Use Industry (Security & Surveillance, Consumer Electronics) and Geography - Global Forecast to 2026
AI in computer vision market is projected to reach USD 51.3 billion by 2026, at a CAGR of 26.3% during the forecast period.
The growing need for quality inspection and automation, increasing demand for computer vision systems in non-traditional and emerging applications, and rising need for ASICs are the key factors driving the growth of the market. Likewise, government initiatives to support industrial automation and integration of AI into the edge devices are expected to create lucrative opportunities for the players in the AI in computer vision market. However, rising security concerns related to cloud-based image processing and analytics are expected to restraint market growth.
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Supervised Learning will have the highest growth in the coming years
Supervised learning is expected to account ~84% share of the overall AI in computer vision market by 2026. The growing adoption of supervised learning in various healthcare applications, especially medical imaging, and the use of different sensors and devices in modern facial recognition algorithms supplement the growth of this segment. Learning models are currently being implemented to develop various AI products and services. Some recent applications of these models are in autonomous vehicles/connected cars, virtual assistants (Apple’s Siri, Microsoft’s Cortana, and Google’s Google Now), expert systems, drones, computer-aided diagnostics, video games, and image recognition systems.
Consumer Electronics is expected to hold the largest share in 2026
There is an increasing demand for AI-enabled computer vision systems in consumer electronics such as smartphones, desktops, and laptops is driving the growth of the AI in computer vision market. Healthcare, however, is projected to grow at the highest CAGR during the forecast period as AI-enabled computer vision technology plays a vital role in applications like radiology, medical imaging. Apart from this, increasing participation of various automotive and IT giants to develop autonomous cars is driving the growth of the AI in computer vision market for the automotive industry. In the security & surveillance industry, AI-enabled computer vision systems are increasingly being used to identify threats and people, thus boosting the adoption of AI-enabled computer vision solutions in this industry. Further, advancements in machine vision technology, such as smart cameras and automation, have increased the scope of AI in computer vision market in the manufacturing industry, which is expected to grow at the second-highest CAGR by 2026.
APAC is attributed to growing at the highest CAGR in AI in computer vision market during the forecast period (2021-2026)
APAC is expected to grow at the highest CAGR in the AI in computer vision market. Countries such China, Japan, and South Korea are expected to be the major contributors to the market in APAC. Increased manufacturing operations contribute mainly to the economic development in China, while the rising demand to incorporate Industry 4.0 and advanced manufacturing techniques for increasing automation across various applications in India is contributing to the tremendous growth of AI in computer vision in APAC.
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Key Market Players
The AI in computer vision market was dominated by, NVIDIA (US), Microsoft Corp. (US), Intel Corporation (US), IBM Corporation (US) and Qualcomm Technologies, Inc. (US).
NVIDIA Corporation (US)
NVIDIA is among the world leaders in the visual computing business. It has a well-established geographic footprint and deals with major OEMs or ODMs. The company continues to lead in the development of new products for the AI in computer vision market. Recently, it has witnessed a significant rise in the revenue from the data center business. It is giving tough competition to Intel in the data center market. NVIDIA DRIVE for automakers to build and deploy self-driving cars and trucks that are functionally safe and certified to international safety standards is one of the company’s important products. NVIDIA is well ahead in the R&D of autonomous cars when compared to its competitors. NVIDIA is primarily focusing on extending its technology and platform leadership in visual computing. It has been investing more than 20% of its revenue in R&D to expand the visual computing segment and enhance the user experience for consumer entertainment and professional visualization applications. Its roadmap delivers the latest technologies across multiple products and devices. This roadmap is the result of extensive collaboration with game developers, governments, and industry-standard organizations, as well as years of research in emerging network standards and the development of integrated circuits. NVIDIA has a strong base of reliable suppliers of raw materials, enabling it to overcome any supply chain bottlenecks. Over the years, the company has built a reliable distribution network that can reach most of its potential markets. It has invested in building a strong brand portfolio for the visual computing market through new product launches.
AI in Computer Vision Market Report Scope :
|
Report Metric |
Details |
| Estimated Market Size | USD 15.9 Billion |
| Projected Market Size | USD 51.3 Billion |
| Growth Rate | CAGR of 26.3% |
|
Market size available for years |
2021–2026 |
|
On Demand Data Available |
2030 |
|
Report Coverage |
|
|
Segments covered |
|
|
Geographies covered |
|
|
Companies covered |
|
| Key Market Driver | Growing need for quality inspection and automation |
| Largest Growing Region | Asia Pacific (APAC) |
| Largest Market Share Segment | Consumer Electronics Segment |
| Highest CAGR Segment | Software Segment |
This report categorizes the AI in computer vision market based on component, machine learning models, function, application, end-use industry, and by region
AI in Computer Vision Market, By Offering
-
Hardware
- Processor
- Memory
- Storage
- Software
AI in Computer Vision Market, By Machine Learning Model
-
Supervised Learning
- Convolutional Neural Network
- Recurrent Neural Network
- Unsupervised Learning
- Reinforcement Learning
AI in Computer Vision Market, By Function
- Training
- Inference
AI in Computer Vision Market, By Application
- Non-industrial
- Industrial
AI in Computer Vision Market, By End-use industry
- Automotive
- Consumer Electronics
- Healthcare
- Retail
- Security & Surveillance
- Manufacturing
- Agriculture
- Transportation & Logistics
- Others (Military and Construction)
Geographic Analysis
- Introduction
-
North America
- US
- Canada
- Mexico
-
Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe (RoE)
-
Asia Pacific (APAC)
- China
- Japan
- India
- South Korea
- Rest of APAC (RoAPAC)
-
Rest of the World (RoW)
- South America
- Middle East & Africa
Impact of Covid-19 on AI in computer vision market:
The COVID-19 pandemic has had a low impact on the growth of the AI in computer vision market. From a regional point of view, the outbreak of COVID-19 has caused a major setback to the export-oriented economies owing to the temporary shutting down of manufacturing plants. For instance, the automotive industry of Germany has been severely affected as most of the automobile trade takes place with China and Italy. Besides the issues related to exports and imports, the growth of the manufacturing industry in Germany has been hampered due to the closure of manufacturing plants and slowdown in operations to contain the spread of COVID-19.
However, consumer electronics, comprising products such as smartphones and smart homes, have become less of a luxury and more of a necessity. This segment, which comprises wearables, laptops, desktops, and other appliances, was impacted as the production declined due to disruptions in the global supply chain, especially in China, which is the major hub of OEMs in this segment. However, from the consumers’ perspective, there is a growth in the adoption of AI-enabled smartphones and other gadgets, which is supporting the growth of the AI in computer vision market. With most of the process going without human intervention, the security and surveillance industry is likely to hold a substantial share of the AI in computer vision market during and after the COVID-19 period.
Market Dynamics
Drivers Growing need for quality inspection and automation
Manufacturing companies across the globe are planning to increase investments in automation in the post-COVID-19 period as it reduces the need for human intervention required for various processes. Besides, the need for automated quality assurance has increased as industry players have realized its importance in manufacturing processes. This has resulted in the widespread acceptance of AI-based computer vision solutions as an integral part of long-term automation development processes. The use of computer vision in automated production processes helps identify problems in a short period, which consequently reduces costs and improves response times. Likewise, it helps to recognize flawed goods, reduce the risk of return of products, and ensure higher customer satisfaction. Likewise, the need for computer vision in quality assurance has increased because, with this technology, all products on production lines can be examined equally and with the same focus. The growing need for quality inspection and automation will be a significant driver in the AI in computer vision market during the forecast period.
Increasing demand for computer vision systems in non-traditional and emerging applications
Inspection, identification, measurement, and locating the product are some of the major applications of computer vision systems in various industries. Apart from these applications, all AI-enabled vision systems have some means of developing new applications such as 3D model building, retail, medical imaging, optical character recognition, automobile safety, surveillance and traffic monitoring, morphing, and augmented reality. Vision systems and software are developed to address new applications related to the healthcare industry, traffic management, security & surveillance, postal & logistics, and document processing. In the future, established players are expected to benefit from building in-house application-specific AI-enabled computer vision systems. Besides, AI-enabled computer vision systems are witnessing increasing demand in various emerging applications such as unmanned aerial vehicles, missile guidance, and autonomous vehicles. The adoption rate of advanced driver assistance system (ADAS) is rapidly increasing for high-end vehicles. The integration of image capture and vision processing capabilities is a critical element involved in the designing of advanced driver assistance systems (ADAS), which enables it to offer additional and enhanced features beyond those provided by radar, LiDAR, infrared, ultrasound, and other sensing technologies.
Restraints: Increasing security concerns related to cloud-based image processing and analytics
AI in computer vision solutions are expected to have a huge growth potential in markets such as consumer electronics and security & surveillance. However, The issues related to cloud data storage, such as data breaches, data theft, and unavailability of cloud data, are increasing day by day. Thus, it is essential for cloud service providers (CSPs) to offer reliable data services to customers. Even though cloud computing has certain benefits, cloud users are unwilling to place their confidential data such as personal health records, emails, and sensitive files in cloud datacenters. Once the data is placed in the cloud data center, clients lose direct control over their data sources. The CSPs are making efforts to ensure data security over stored data of cloud clients by using mechanisms such as Firewalls and virtualization. However, these efforts are not able to provide complete data protection because of their vulnerabilities over the network and control over cloud applications, hardware, and client’s data. This can occur as a hindering factor in the growth of AI in computer vision market.
Recent Developments
- In April 2021, NVIDIA revealed the next-generation AI-enabled processor for autonomous vehicles, NVIDIA DRIVE Atlan, which can deliver more than 1,000 trillion operations per second (TOPS). The NVIDIA DRIVE Atlan system-on-a-chip is the newest addition to NVIDIA’s centralized compute roadmap for autonomous vehicles, and it fuses AI and software with the latest in computing, networking, and security for unprecedented levels of performance and security
- In April 2021, NVIDIA introduced a new class of NVIDIA-Certified System, bringing AI within reach for organizations that run their applications on industry-standard enterprise data center infrastructure. This new class includes high-volume enterprise servers from top manufacturers that can run the NVIDIA AI Enterprise software suite and is exclusively certified for VMware vSphere 7, known as the world’s most widely used compute virtualization platform.
Frequently Asked Questions (FAQ):
Which are the major industries in AI in computer vision market? How big is the opportunity for their growth in the developing economies in the coming years?
The major industries in AI in computer vision market includes consumer electronics, security & surveillance, healthcare, automotive and manufacturing. It is expected to boost the demand for AI-enabled computer vision solutions leading to USD 51.3 billion opportunity till 2026.
Which are the major companies in the AI in computer vision market? What are their major strategies to strengthen their market presence?
The AI in computer vision market was dominated by NVIDIA (US), Intel Corp. (US), Microsoft Corp. (US), IBM Corp. (US) and Qualcomm (US)
The major strategies adopted by the top 5 players in the AI in computer vision market included product launches and developments, collaborations and acquisitions.
Which are the leading countries in the AI in computer vision market?
APAC is expected to grow at the highest CAGR by 2026. Countries such China, Japan, and South Korea are expected to be the major contributors to the market in APAC. Increased manufacturing operations contribute mainly to the economic development in China, while the rising demand to incorporate Industry 4.0 and advanced manufacturing techniques for increasing automation across various applications in India is contributing to the tremendous growth of AI in computer vision in APAC.
North America is expected to hold the largest share in the AI in computer vision market by 2026.
The presence of prominent AI technology providers, such as IBM (US), Google (US), Microsoft (US), NVIDIA (US), Intel (US), and Facebook (US) is complementing the growth of market in North America. The growing concern about the security of critical infrastructure and sensitive data has increased government intervention in recent years and resulted in the adoption of AI in computer vision in security applications.
Which industry is expected to witness significant demand for AI in computer vision in the coming years?
There is an increasing demand for AI-enabled computer vision systems in consumer electronics such as smartphones, desktops, and laptops is driving the growth of the AI in computer vision market. Healthcare, however is projected to grow at the highest CAGR during the forecast period as AI-enabled computer vision technology plays a vital role in applications like radiology, medical imaging and will witness a significant demand from this industry.
How will COVID-19 impact the penetration of AI in computer vision market?
The COVID-19 pandemic has had a low impact on the growth of the AI in computer vision market. From a regional point of view, the outbreak of COVID-19 has caused a major setback to the export-oriented economies owing to the temporary shutting down of manufacturing plants. For instance, the automotive industry of Germany has been severely affected as most of the automobile trade takes place with China and Italy. Besides the issues related to exports and imports, the growth of the manufacturing industry in Germany has been hampered due to the closure of manufacturing plants and slowdown in operations to contain the spread of COVID-19.
However, consumer electronics, comprising products such as smartphones and smart homes, have become less of a luxury and more of a necessity. This segment, which comprises wearables, laptops, desktops, and other appliances, was impacted as the production declined due to disruptions in the global supply chain, especially in China, which is the major hub of OEMs in this segment. However, from the consumers’ perspective, there is a growth in the adoption of AI-enabled smartphones and other gadgets, which is supporting the growth of the AI in computer vision market. With most of the process going without human intervention, the security and surveillance industry is likely to hold a substantial share of the AI in computer vision market during and after the COVID-19 period. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 32)
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 LIMITATIONS
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 37)
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
2.2.1 BOTTOM-UP APPROACH
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE): REVENUE FROM SALES OF AI COMPUTER VISION PRODUCTS AND SOLUTIONS
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
FIGURE 6 TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RISK ASSESSMENT
TABLE 1 RISK FACTOR ANALYSIS
2.6 FORECASTING ASSUMPTIONS
2.7 COMPETITIVE LEADERSHIP MAPPING METHODOLOGY
TABLE 2 EVALUATION CRITERIA
2.7.1 VENDOR INCLUSION CRITERIA
2.8 LIMITATIONS OF THE STUDY
3 EXECUTIVE SUMMARY (Page No. - 51)
FIGURE 8 SOFTWARE SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE BY 2026
FIGURE 9 AI IN COMPUTER VISION MARKET FOR INFERENCE TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD
FIGURE 10 SUPERVISED LEARNING SEGMENT TO HOLD LARGEST SHARE IN AI COMPUTER VISION MARKET DURING FORECAST PERIOD
FIGURE 11 NON-INDUSTRIAL SEGMENT TO ACCOUNT LARGER MARKET SHARE IN AI COMPUTER VISION MARKET DURING FORECAST PERIOD
FIGURE 12 CONSUMER ELECTRONICS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE WHILE HEALTHCARE TO EXHIBIT HIGHEST CAGR BY 2026
FIGURE 13 MARKET IN ASIA PACIFIC TO WITNESS HIGHEST GROWTH BY 2026
3.1 IMPACT ANALYSIS OF COVID-19 ON MARKET
FIGURE 14 MARKET SIZE IN OPTIMISTIC, PESSIMISTIC, AND REALISTIC SCENARIOS
TABLE 3 MARKET, BY SCENARIO, 2018–2026 (USD MILLION)
3.1.1 OPTIMISTIC SCENARIO
3.1.2 REALISTIC SCENARIO
3.1.3 PESSIMISTIC SCENARIO
4 PREMIUM INSIGHTS (Page No. - 58)
4.1 ATTRACTIVE OPPORTUNITIES IN AI IN COMPUTER VISION MARKET
FIGURE 15 GOVERNMENT INITIATIVES TO SUPPORT INDUSTRIAL AUTOMATION TO CREATE ATTRACTIVE GROWTH OPPORTUNITIES FOR MARKET
4.2 MARKET, BY APPLICATION
FIGURE 16 NON-INDUSTRIAL SEGMENT TO DOMINATE MARKET BETWEEN 2021 AND 2026
4.3 MARKET, BY HARDWARE PROCESSOR COMPONENT
FIGURE 17 CPU SEGMENT TO HOLD LARGEST SHARE OF MARKET BY 2026
4.4 MARKET, BY END-USE INDUSTRY
FIGURE 18 CONSUMER ELECTRONICS SEGMENT TO HOLD LARGEST SHARE OF MARKET BY 2026
4.5 MARKET, BY REGION
FIGURE 19 APAC TO REGISTER HIGHEST CAGR IN MARKET BETWEEN 2021 AND 2026
5 MARKET OVERVIEW (Page No. - 61)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 20 MARKET DYNAMICS: AI IN COMPUTER VISION MARKET
5.2.1 DRIVERS
5.2.1.1 Growing need for quality inspection and automation
5.2.1.2 Increasing demand for computer vision systems in non-traditional and emerging applications
FIGURE 21 INVESTMENTS IN AUGMENTED REALITY BETWEEN 2020 AND 2025
5.2.1.3 Growing impact of AI on machine vision
FIGURE 22 REDUCTION IN ERROR RATES USING AI-ENABLED COMPUTER VISION SYSTEMS IN HEALTHCARE
5.2.1.4 Rising need for application-specific integrated circuits (ASICs)
5.2.2 RESTRAINTS
5.2.2.1 Increasing security concerns related to cloud-based image processing and analytics
5.2.2.2 Low awareness and technical knowledge
5.2.2.3 Lack of skilled professionals in manufacturing factories
FIGURE 23 UNDERQUALIFIED WORKERS IN VARIOUS COUNTRIES, 2019
5.2.3 OPPORTUNITIES
5.2.3.1 Increasing manufacturing of hybrid and electric cars
FIGURE 24 INCREASING DEMAND FOR HYBRID AND ELECTRIC VEHICLES BETWEEN 2020 AND 2040
5.2.3.2 Government initiatives to boost development of AI-related technologies
5.2.3.3 Increasing demand for artificial intelligence (AI) in machine vision
5.2.3.4 Development of machine learning pertaining to vision technology
5.2.3.5 Increased computing capacity of AI-based GPUs
FIGURE 25 COMPUTING COST AND MEMORY COMPARISON OF GPUS
5.2.3.6 Integrating AI into edge devices
5.2.4 CHALLENGES
5.2.4.1 Premium pricing of AI hardware
5.2.4.2 Lack of user awareness pertaining to rapidly changing machine vision technology
5.3 VALUE CHAIN ANALYSIS
FIGURE 26 VALUE CHAIN ANALYSIS: AI IN COMPUTER VISION
5.4 REVENUE SHIFT AND NEW REVENUE POCKETS FOR AI IN COMPUTER VISION MARKET
FIGURE 27 REVENUE SHIFT IN MARKET
5.5 ECOSYSTEM
FIGURE 28 MARKET ECOSYSTEM
TABLE 4 ROLE OF COMPANIES IN ECOSYSTEM/VALUE CHAIN
5.6 PORTER’S FIVE FORCES ANALYSIS
TABLE 5 MARKET: PORTER’S FIVE FORCES ANALYSIS
FIGURE 29 PORTER’S FIVE FORCES ANALYSIS: MARKET
5.6.1 COMPETITIVE RIVALRY
5.6.2 THREAT OF NEW ENTRANTS
5.6.3 BARGAINING POWER OF SUPPLIERS
5.6.4 BARGAINING POWER OF BUYERS
5.6.5 THREAT OF SUBSTITUTES
5.7 USE CASES
5.7.1 VULCAN AI USES AI VISION AND DEEP LEARNING TO CREATE SAFER WORKPLACE
5.7.2 AUTOMATED WELD DEFECT DETECTION AND ROBOT ACTUATION FOR MANUFACTURERS
5.7.3 RETAIL: CUSTOMER BEHAVIOR TRACKING
5.7.4 PUBLIC HEALTH: IMAGE SEGMENTATION OF SCAN
5.7.5 AUTOMOTIVE INDUSTRY: OBJECT RECOGNITION AND CLASSIFICATION IN TRAFFIC
5.8 TECHNOLOGY ANALYSIS
5.8.1 COGNITIVE ROBOTS
5.8.2 INTERNET OF THINGS
5.8.3 ANALYSIS OF AI CHIP AND PROCESSORS TECHNOLOGY
TABLE 6 COMPARISON OF AI CHIP TYPES
5.8.4 CAMERA TECHNOLOGY
TABLE 7 AI IN COMPUTER VISION CAMERA MARKET, BY FRAME RATE, 2018–2020 (MILLION UNITS)
TABLE 8 AI IN COMPUTER VISION CAMERA MARKET, BY FRAME RATE, 2021–2026 (MILLION UNITS)
5.8.4.1 Frame rate
5.8.4.1.1 <25 fps
5.8.4.1.2 25–125 fps
5.8.4.1.3 >125 fps
5.8.4.2 Resolution
5.8.4.2.1 >=40 MP
5.8.4.2.2 20–39 MP
5.8.4.2.3 6–19 MP
5.8.4.2.4 >2–5 MP
5.8.4.2.5 <2 MP
TABLE 9 AI IN COMPUTER VISION CAMERA MARKET, BY CAMERA RESOLUTION, 2018–2020 (MILLION UNITS)
TABLE 10 AI IN COMPUTER VISION CAMERA MARKET, BY CAMERA RESOLUTION, 2021–2026 (MILLION UNITS)
5.9 INDUSTRY TRENDS
5.10 PRICING ANALYSIS
TABLE 11 PRICING ANALYSIS FOR AI COMPUTER VISION PROCESSOR
FIGURE 30 AVERAGE SELLING PRICE ANALYSIS
TABLE 12 SUBSCRIPTION-BASED COMPUTER VISION PRICING
5.11 PATENTS ANALYSIS
FIGURE 31 PATENTS ANALYSIS
TABLE 13 IMPORTANT PATENTS RELATED TO AI IN COMPUTER VISION
5.12 MARKET REGULATIONS
5.13 TRADE ANALYSIS
TABLE 14 EXPORTS DATA, BY COUNTRY, 2015–2019 (USD MILLION)
FIGURE 32 EXPORTS DATA FOR HS CODE 854231 FOR TOP FIVE COUNTRIES IN MARKET, 2015–2019 (THOUSAND UNITS)
TABLE 15 IMPORTS DATA, BY COUNTRY, 2015–2019 (USD MILLION)
FIGURE 33 IMPORTS DATA FOR HS CODE 854231 FOR TOP FIVE COUNTRIES IN MARKET, 2015–2019 (THOUSAND UNITS)
6 AI IN COMPUTER VISION MARKET, BY COMPONENT (Page No. - 92)
6.1 INTRODUCTION
FIGURE 34 MARKET, BY COMPONENT
FIGURE 35 SOFTWARE TO ACCOUNT FOR LARGER SHARE OF MARKET BY 2026
TABLE 16 MARKET, BY COMPONENT, 2018–2020 (USD MILLION)
TABLE 17 MARKET, BY COMPONENT, 2021–2026 (USD MILLION)
6.2 HARDWARE
6.2.1 THE GROWING DEPLOYMENT OF AI INFRASTRUCTURE IS EXPECTED TO PLAY A KEY ROLE IN GROWTH OF HARDWARE SEGMENT
FIGURE 36 MARKET: BY HARDWARE
TABLE 18 MARKET, BY HARDWARE, 2018–2020 (USD MILLION)
TABLE 19 MARKET, BY HARDWARE, 2021–2026 (USD MILLION)
TABLE 20 MARKET FOR HARDWARE, BY REGION, 2018–2020 (USD MILLION)
TABLE 21 MARKET FOR HARDWARE, BY REGION, 2021–2026 (USD MILLION)
6.2.2 PROCESSOR
TABLE 22 MARKET, BY PROCESSOR TYPE, 2018–2020 (MILLION UNITS)
TABLE 23 MARKET, BY PROCESSOR TYPE, 2021–2026 (MILLION UNITS)
TABLE 24 MARKET, BY PROCESSOR TYPE, 2018–2020 (USD MILLION)
TABLE 25 MARKET, BY PROCESSOR TYPE, 2021–2026 (USD MILLION)
TABLE 26 MARKET FOR PROCESSORS, BY REGION, 2018–2020 (USD MILLION)
TABLE 27 MARKET FOR PROCESSORS, BY REGION, 2021–2026 (USD MILLION)
6.2.2.1 CPU
TABLE 28 MARKET FOR CPU, BY REGION, 2018–2020 (USD MILLION)
TABLE 29 MARKET FOR CPU, BY REGION, 2021–2026 (USD MILLION)
6.2.2.2 GPU
TABLE 30 MARKET FOR GPU, BY REGION, 2018–2020 (USD MILLION)
TABLE 31 MARKET FOR GPU, BY REGION, 2021–2026 (USD MILLION)
6.2.2.3 ASIC
TABLE 32 MARKET FOR ASIC, BY REGION, 2018–2020 (USD MILLION)
TABLE 33 MARKET FOR ASIC, BY REGION, 2021–2026 (USD MILLION)
6.2.2.4 FPGA
TABLE 34 MARKET FOR FPGA, BY REGION, 2018–2020 (USD MILLION)
TABLE 35 MARKET FOR FPGA, BY REGION, 2021–2026 (USD MILLION)
6.2.3 MEMORY
TABLE 36 MARKET FOR MEMORY, BY REGION, 2018–2020 (USD MILLION)
TABLE 37 MARKET FOR MEMORY, BY REGION, 2021–2026 (USD MILLION)
6.2.4 STORAGE
TABLE 38 MARKET FOR STORAGE, BY REGION, 2018–2020 (USD MILLION)
TABLE 39 MARKET FOR STORAGE, BY REGION, 2021–2026 (USD MILLION)
6.3 SOFTWARE
6.3.1 USE OF AI SOLUTIONS TO REDUCE VOLUME AND COMPLEXITY OF DATA WILL LEAD TO GROWTH OF SOFTWARE SEGMENT
FIGURE 37 MARKET, BY SOFTWARE
TABLE 40 MARKET, BY SOFTWARE, 2018–2020 (USD MILLION)
TABLE 41 MARKET, BY SOFTWARE, 2021–2026 (USD MILLION)
TABLE 42 MARKET FOR SOFTWARE, BY REGION, 2018–2020 (USD MILLION)
TABLE 43 MARKET FOR SOFTWARE, BY REGION, 2021–2026 (USD MILLION)
6.3.2 AI PLATFORM
TABLE 44 MARKET FOR AI PLATFORM, BY REGION, 2018–2020 (USD MILLION)
TABLE 45 MARKET FOR AI PLATFORM, BY REGION, 2021–2026 (USD MILLION)
6.3.3 AI SOLUTION
TABLE 46 MARKET FOR AI SOLUTION, BY REGION, 2018–2020 (USD MILLION)
TABLE 47 MARKET FOR AI SOLUTION, BY REGION, 2021–2026 (USD MILLION)
7 AI IN COMPUTER VISION MARKET, BY MACHINE LEARNING MODEL (Page No. - 109)
7.1 INTRODUCTION
FIGURE 38 MARKET, BY MACHINE LEARNING MODEL
FIGURE 39 SUPERVISED LEARNING TO HOLD THE MAJOR SHARE OF THE AI COMPUTER VISION MARKET DURING FORECAST PERIOD
TABLE 48 MARKET, BY MACHINE LEARNING MODEL, 2018–2020 (USD MILLION)
TABLE 49 MARKET, BY MACHINE LEARNING MODEL, 2021–2026 (USD MILLION)
7.2 SUPERVISED LEARNING
7.2.1 SUPERVISED LEARNING REFERS TO ALGORITHMS PROVIDED WITH A SET OF LABELED TRAINING DATA TO LEARN
TABLE 50 MARKET, BY SUPERVISED LEARNING MODEL, 2018–2020 (USD MILLION)
TABLE 51 MARKET, BY SUPERVISED LEARNING MODEL, 2021–2026 (USD MILLION)
7.2.2 CONVOLUTIONAL NEURAL NETWORKS
7.2.3 RECURRENT NEURAL NETWORKS
7.3 UNSUPERVISED LEARNING
7.3.1 UNSUPERVISED LEARNING REFERS TO AN ALGORITHM MODEL PROVIDED WITH UNLABELED TRAINING DATA, WITH THE TASK OF INFERRING CATEGORIES
7.4 REINFORCEMENT LEARNING
7.4.1 REINFORCEMENT LEARNING ALLOWS MACHINES AND SOFTWARE AGENTS TO AUTOMATICALLY DETERMINE IDEAL BEHAVIOR TO MAXIMIZE THEIR PERFORMANCE
8 AI IN COMPUTER VISION MARKET, BY FUNCTION (Page No. - 114)
8.1 INTRODUCTION
FIGURE 40 MARKET, BY FUNCTION
FIGURE 41 MARKET FOR TRAINING FUNCTION IS PROJECTED TO GROW AT A HIGHER CAGR
TABLE 52 MARKET, BY FUNCTION, 2018–2020 (USD MILLION)
TABLE 53 MARKET, BY FUNCTION, 2020–2026 (USD MILLION)
8.2 TRAINING
8.2.1 ML AND DL MODELS ARE TRAINED TO DEVELOP THE ABILITY TO UNDERSTAND A DATASET AND ACT ON NEW DATA
8.3 INFERENCE
8.3.1 INFERENCE IS COMPUTATIONALLY LESS INTENSE THAN TRAINING
9 AI IN COMPUTER VISION MARKET, BY APPLICATION (Page No. - 117)
9.1 INTRODUCTION
FIGURE 42 MARKET, BY APPLICATION
FIGURE 43 NON-INDUSTRIAL TO HOLD LARGER SHARE OF AI COMPUTER VISION MARKET DURING FORECAST PERIOD
TABLE 54 MARKET, BY APPLICATION, 2018–2020 (USD MILLION)
TABLE 55 MARKET, BY APPLICATION, 2021–2026 (USD MILLION)
9.2 NON-INDUSTRIAL
9.2.1 CAMERA-ENABLED SMARTPHONES DRIVING MARKET FOR CONSUMER SEGMENT
9.3 INDUSTRIAL
9.3.1 FACTORS SUCH AS STRINGENT GOVERNMENT REGULATIONS AND INCREASING QUALITY MAINTENANCE ACTIVITIES DRIVING MARKET GROWTH IN VARIOUS INDUSTRIES
TABLE 56 MARKET, BY VISION, 2018–2020 (USD MILLION)
TABLE 57 MARKET, BY VISION, 2021–2026 (USD MILLION)
9.3.2 2D MACHINE VISION
9.3.3 3D MACHINE VISION
9.3.4 QUALITY ASSURANCE & INSPECTION
9.3.5 POSITIONING AND GUIDANCE
9.3.6 OTHERS
10 AI IN COMPUTER VISION MARKET, BY END-USE INDUSTRY (Page No. - 123)
10.1 INTRODUCTION
FIGURE 44 MARKET, BY END-USE INDUSTRY
FIGURE 45 CONSUMER ELECTRONICS TO ACCOUNT FOR LARGEST MARKET SHARE WHILE HEALTHCARE TO GROW AT HIGHEST CAGR BY 2026
TABLE 58 MARKET, BY END-USE INDUSTRY, 2018–2020 (USD MILLION)
TABLE 59 MARKET, BY END-USE INDUSTRY, 2021–2026 (USD MILLION)
10.2 AUTOMOTIVE
10.2.1 INCREASING NEED TO IMPROVE ROAD SAFETY AND REDUCE MISHAPS IS RESULTING IN GROWING USE OF COMPUTER VISION SOLUTIONS
TABLE 60 MARKET FOR AUTOMOTIVE, BY REGION, 2018–2020 (USD MILLION)
TABLE 61 MARKET FOR AUTOMOTIVE, BY REGION, 2021–2026 (USD MILLION)
10.2.1.1 Impact of COVID-19
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 IS DRIVING MARKET
TABLE 62 MARKET FOR CONSUMER ELECTRONICS, BY REGION, 2018–2020 (USD MILLION)
TABLE 63 MARKET FOR CONSUMER ELECTRONICS, BY REGION, 2021–2026 (USD MILLION)
10.3.1.1 Impact of COVID-19
10.3.2 GAMING
10.3.3 CAMERAS
10.3.4 WEARABLES
10.3.5 SMARTPHONES
10.4 HEALTHCARE
10.4.1 AI-ENABLED COMPUTER VISION HAS A WIDE RANGE OF APPLICATIONS IN IMAGING AND ANALYTICAL SYSTEMS
TABLE 64 MARKET FOR HEALTHCARE, BY REGION, 2018–2020 (USD MILLION)
TABLE 65 MARKET FOR HEALTHCARE, BY REGION, 2021–2026 (USD MILLION)
10.4.1.1 Impact of COVID-19
10.4.2 RADIOLOGY
10.4.3 MEDICAL IMAGING
10.5 RETAIL
10.5.1 AI-ENABLED VISION TECHNOLOGY ASSISTS IN TRACKING ACTIVITIES OF CUSTOMERS WITH INCREASED ACCURACY
TABLE 66 MARKET FOR RETAIL, BY REGION, 2018–2020 (USD MILLION)
TABLE 67 MARKET FOR RETAIL, BY REGION, 2021–2026 (USD MILLION)
10.6 SECURITY & SURVEILLANCE
10.6.1 AI-ENABLED COMPUTER VISION SYSTEMS ARE INCREASINGLY BEING USED TO IDENTIFY THREATS AND PEOPLE
TABLE 68 MARKET FOR SECURITY & SURVEILLANCE, BY REGION, 2018–2020 (USD MILLION)
TABLE 69 MARKET FOR SECURITY & SURVEILLANCE, BY REGION, 2021–2026 (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 MACHINE VISION HAS BECOME KEY TECHNOLOGY IN MANUFACTURING AND QUALITY CONTROL BECAUSE OF INCREASING DEMAND FOR QUALITY FROM MANUFACTURERS AND CUSTOMERS
TABLE 70 MARKET FOR MANUFACTURING, BY REGION, 2018–2020 (USD MILLION)
TABLE 71 MARKET FOR MANUFACTURING, BY REGION, 2021–2026 (USD MILLION)
10.8 AGRICULTURE
10.8.1 COMBINATION OF IOT AND ADVANCED ANALYTICS WITH AI ALLOWS FARMERS TO ANALYZE REAL-TIME DATA
TABLE 72 MARKET FOR AGRICULTURE, BY REGION, 2018–2020 (USD MILLION)
TABLE 73 MARKET FOR AGRICULTURE, BY REGION, 2021–2026 (USD MILLION)
10.8.2 CROP MONITORING
10.8.3 AUTOMATED IRRIGATION SYSTEM
10.9 TRANSPORTATION & LOGISTICS
10.9.1 USE OF COMPUTER VISION SYSTEMS IS EXPECTED TO INCREASE IN REAL-LIFE TRAFFIC APPLICATIONS DUE TO INCREASING TRAFFIC CONGESTION AND INVESTMENTS LED BY GOVERNMENTS
TABLE 74 MARKET FOR TRANSPORTATION & LOGISTICS, BY REGION, 2018–2020 (USD MILLION)
TABLE 75 MARKET FOR TRANSPORTATION & LOGISTICS, BY REGION, 2021–2026 (USD MILLION)
10.10 OTHERS
TABLE 76 MARKET FOR OTHERS, BY REGION, 2018–2020 (USD MILLION)
TABLE 77 MARKET FOR OTHERS, BY REGION, 2021–2026 (USD MILLION)
11 GEOGRAPHIC ANALYSIS (Page No. - 139)
11.1 INTRODUCTION
11.1.1 IMPACT OF COVID-19
FIGURE 46 MARKET SEGMENTATION, BY REGION
FIGURE 47 GEOGRAPHIC SNAPSHOT: MARKET TO GROW AT HIGHEST CAGR IN CHINA DURING FORECAST PERIOD
FIGURE 48 MARKET IN APAC REGION TO GROW AT HIGHEST CAGR BETWEEN 2021 AND 2026
TABLE 78 MARKET, BY REGION, 2018–2020 (USD MILLION)
TABLE 79 MARKET, BY REGION, 2021–2026 (USD MILLION)
11.2 NORTH AMERICA
11.2.1 IMPACT OF COVID-19
FIGURE 49 SEGMENTATION OF MARKET IN NORTH AMERICA, BY COUNTRY
FIGURE 50 SNAPSHOT OF MARKET IN NORTH AMERICA
TABLE 80 MARKET IN NORTH AMERICA, BY COMPONENT, 2018–2020 (USD MILLION)
TABLE 81 MARKET IN NORTH AMERICA, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 82 MARKET IN NORTH AMERICA, BY HARDWARE, 2018–2020 (USD MILLION)
TABLE 83 MARKET IN NORTH AMERICA, BY HARDWARE, 2021–2026 (USD MILLION)
TABLE 84 MARKET IN NORTH AMERICA, BY PROCESSOR, 2018–2020 (USD MILLION)
TABLE 85 MARKET IN NORTH AMERICA, BY PROCESSOR, 2021–2026 (USD MILLION)
TABLE 86 MARKET IN NORTH AMERICA, BY FUNCTION, 2018–2020 (USD MILLION)
TABLE 87 MARKET IN NORTH AMERICA, BY FUNCTION, 2021–2026 (USD MILLION)
TABLE 88 MARKET IN NORTH AMERICA, BY APPLICATION, 2018–2020 (USD MILLION)
TABLE 89 MARKET IN NORTH AMERICA, BY APPLICATION, 2021–2026 (USD MILLION)
TABLE 90 MARKET IN NORTH AMERICA, BY SOFTWARE, 2018–2020 (USD MILLION)
TABLE 91 MARKET IN NORTH AMERICA, BY SOFTWARE, 2021–2026 (USD MILLION)
TABLE 92 MARKET IN NORTH AMERICA, BY END-USE INDUSTRY, 2018–2020 (USD MILLION)
TABLE 93 MARKET IN NORTH AMERICA, BY END-USE INDUSTRY, 2021–2026 (USD MILLION)
TABLE 94 MARKET IN NORTH AMERICA, BY COUNTRY, 2018–2020 (USD MILLION)
TABLE 95 MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2026 (USD MILLION)
11.2.2 US
11.2.2.1 Increased demand for modern technologies boosts market growth
11.2.2.2 Impact of COVID-19
11.2.3 CANADA
11.2.3.1 Increasing adoption of AI technologies, especially ML and NLP, is fueling market growth in Canada
11.2.3.2 Impact of COVID-19
11.2.4 MEXICO
11.2.4.1 Proximity to US and governments movement to augment manufacturing activities have fueled market growth in Mexico
11.3 EUROPE
11.3.1 IMPACT OF COVID-19
FIGURE 51 SEGMENTATION OF MARKET IN EUROPE, BY COUNTRY
FIGURE 52 SNAPSHOT OF MARKET IN EUROPE
TABLE 96 MARKET IN EUROPE, BY COMPONENT, 2018–2020 (USD MILLION)
TABLE 97 MARKET IN EUROPE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 98 MARKET IN EUROPE, BY HARDWARE, 2018–2020 (USD MILLION)
TABLE 99 MARKET IN EUROPE, BY HARDWARE, 2021–2026 (USD MILLION)
TABLE 100 MARKET IN EUROPE, BY PROCESSOR, 2018–2020 (USD MILLION)
TABLE 101 MARKET IN EUROPE, BY PROCESSOR, 2021–2026 (USD MILLION)
TABLE 102 MARKET IN EUROPE, BY FUNCTION, 2018–2020 (USD MILLION)
TABLE 103 MARKET IN EUROPE, BY FUNCTION, 2021–2026 (USD MILLION)
TABLE 104 MARKET IN EUROPE, BY APPLICATION, 2018–2020 (USD MILLION)
TABLE 105 MARKET IN EUROPE, BY APPLICATION, 2021–2026 (USD MILLION)
TABLE 106 MARKET IN EUROPE, BY SOFTWARE, 2018–2020 (USD MILLION)
TABLE 107 MARKET IN EUROPE, BY SOFTWARE, 2021–2026 (USD MILLION)
TABLE 108 MARKET IN EUROPE, BY END-USE INDUSTRY, 2018–2020 (USD MILLION)
TABLE 109 MARKET IN EUROPE, BY END-USE INDUSTRY, 2021–2026 (USD MILLION)
TABLE 110 MARKET IN EUROPE, BY COUNTRY, 2018–2020 (USD MILLION)
TABLE 111 MARKET IN EUROPE, BY COUNTRY, 2021–2026 (USD MILLION)
11.3.2 UK
11.3.2.1 Automotive sector in UK is contributing to growth of domestic market
11.3.3 GERMANY
11.3.3.1 Demand for advanced computer vision systems to drive market growth in Germany
11.3.3.2 Impact of COVID-19
11.3.4 FRANCE
11.3.4.1 Investments in French startups for development of AI ecosystem drive market
11.3.4.2 Impact of COVID-19
11.3.5 ITALY
11.3.5.1 Widespread use of computer vision systems in industrial sector in Italy is boosting market growth
11.3.5.2 Impact of COVID-19
11.3.6 SPAIN
11.3.6.1 Spain has potential for AI in sectors such as BFSI and healthcare
11.3.7 REST OF EUROPE
11.4 APAC
11.4.1 IMPACT OF COVID-19
FIGURE 53 SEGMENTATION OF MARKET IN EUROPE, BY COUNTRY
FIGURE 54 SNAPSHOT OF MARKET IN APAC
TABLE 112 MARKET IN APAC, BY COMPONENT, 2018–2020 (USD MILLION)
TABLE 113 MARKET IN APAC, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 114 MARKET IN APAC, BY HARDWARE, 2018–2020 (USD MILLION)
TABLE 115 MARKET IN APAC, BY HARDWARE, 2021–2026 (USD MILLION)
TABLE 116 MARKET IN APAC, BY PROCESSOR, 2018–2020 (USD MILLION)
TABLE 117 MARKET IN APAC, BY PROCESSOR, 2021–2026 (USD MILLION)
TABLE 118 MARKET IN APAC, BY FUNCTION, 2018–2020 (USD MILLION)
TABLE 119 MARKET IN APAC, BY FUNCTION, 2021–2026 (USD MILLION)
TABLE 120 MARKET IN APAC, BY APPLICATION, 2018–2020 (USD MILLION)
TABLE 121 MARKET IN APAC, BY APPLICATION, 2021–2026 (USD MILLION)
TABLE 122 MARKET IN APAC, BY SOFTWARE, 2018–2020 (USD MILLION)
TABLE 123 MARKET IN APAC, BY SOFTWARE, 2021–2026 (USD MILLION)
TABLE 124 MARKET IN APAC, BY END-USE INDUSTRY, 2018–2020 (USD MILLION)
TABLE 125 MARKET IN APAC, BY END-USE INDUSTRY, 2021–2026 (USD MILLION)
TABLE 126 MARKET IN APAC, BY COUNTRY, 2018–2020 (USD MILLION)
TABLE 127 MARKET IN APAC, BY COUNTRY, 2021–2026 (USD MILLION)
11.4.2 CHINA
11.4.2.1 Growing deployment of data centers is escalating demand for AI infrastructure in China
11.4.2.2 Impact of COVID-19
11.4.3 JAPAN
11.4.3.1 Use of AI infrastructure by small and medium-sized companies in Japan is leading to growing adoption of AI in computer vision
11.4.4 INDIA
11.4.4.1 Growing adoption of cloud-based services would positively impact AI infrastructure and computer vision market
11.4.5 SOUTH KOREA
11.4.5.1 Increasing government spending to boost AI infrastructure is driving market in South Korea
11.4.6 REST OF APAC
11.5 ROW
FIGURE 55 SEGMENTATION OF MARKET IN ROW, BY REGION
TABLE 128 MARKET IN ROW, BY COMPONENT, 2018–2020 (USD MILLION)
TABLE 129 MARKET IN ROW, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 130 MARKET IN ROW, BY HARDWARE, 2018–2020 (USD MILLION)
TABLE 131 MARKET IN ROW, BY HARDWARE, 2021–2026 (USD MILLION)
TABLE 132 MARKET IN ROW, BY PROCESSOR, 2018–2020 (USD MILLION)
TABLE 133 MARKET IN ROW, BY PROCESSOR, 2021–2026 (USD MILLION)
TABLE 134 MARKET IN ROW, BY FUNCTION, 2018–2020 (USD MILLION)
TABLE 135 MARKET IN ROW, BY FUNCTION, 2021–2026 (USD MILLION)
TABLE 136 MARKET IN ROW, BY APPLICATION, 2018–2020 (USD MILLION)
TABLE 137 MARKET IN ROW, BY APPLICATION, 2021–2026 (USD MILLION)
TABLE 138 MARKET IN ROW, BY SOFTWARE, 2018–2020 (USD MILLION)
TABLE 139 MARKET IN ROW, BY SOFTWARE, 2021–2026 (USD MILLION)
TABLE 140 MARKET IN ROW, BY END-USE INDUSTRY, 2018–2020 (USD MILLION)
TABLE 141 MARKET IN ROW, BY END-USE INDUSTRY, 2021–2026 (USD MILLION)
TABLE 142 MARKET IN ROW, BY REGION, 2018–2020 (USD MILLION)
TABLE 143 MARKET IN ROW, BY REGION, 2021–2026 (USD MILLION)
11.5.1 MIDDLE EAST & AFRICA
11.5.1.1 Investments to promote automation sector in Africa are leading to growth of AI technologies
11.5.2 SOUTH AMERICA
11.5.2.1 Use of AI technologies to overcome physical limitations of capital and labor would drive market in South America
12 COMPETITIVE LANDSCAPE (Page No. - 175)
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
12.2.1 OVERVIEW OF STRATEGIES DEPLOYED BY AI IN COMPUTER VISION OEMS
12.3 COMPNAY REVENUE ANALYSIS, 2020
TABLE 144 TOP FIVE PLAYERS REVENUE ANALYSIS RELATED TO AI IN COMPUTER VISION SEGMENT, 2016–2020 (USD BILLION)
FIGURE 56 5-YEAR REVENUE ANALYSIS OF TOP 5 PLAYERS, 2016–2020
12.4 MARKET SHARE ANALYSIS, 2020
FIGURE 57 SHARE OF MAJOR PLAYERS IN MARKET, 2020
TABLE 145 MARKET: DEGREE OF COMPETITION
12.5 RANKING OF KEY PLAYERS IN MARKET
FIGURE 58 AI IN COMPUTER VISION HARDWARE MARKET: RANKING OF KEY PLAYERS, 2020
FIGURE 59 AI IN COMPUTER VISION SOFTWARE MARKET: RANKING OF KEY PLAYERS, 2020
12.6 COMPANY EVALUATION QUADRANT
12.6.1 STAR
12.6.2 PERVASIVE
12.6.3 EMERGING LEADER
12.6.4 PARTICIPANT
FIGURE 60 MARKET: COMPANY EVALUATION QUADRANT, 2020
12.7 STARTUP/SME EVALUATION QUADRANT
12.7.1 PROGRESSIVE COMPANY
12.7.2 RESPONSIVE COMPANY
12.7.3 DYNAMIC COMPANY
12.7.4 STARTING BLOCK
FIGURE 61 MARKET: STARTUP/SME EVALUATION QUADRANT, 2020
12.8 AI IN COMPUTER VISION MARKET: COMPANY FOOTPRINT
TABLE 146 FOOTPRINT OF COMPANIES
TABLE 147 APPLICATION FOOTPRINT OF COMPANIES
TABLE 148 PRODUCT FOOTPRINT OF COMPANIES
TABLE 149 REGIONAL FOOTPRINT OF COMPANIES
12.9 COMPETITIVE SCENARIO AND TRENDS
FIGURE 62 MARKET EVALUATION FRAMEWORK: PRODUCT LAUNCHES AND DEVELOPMENTS, COLLABORATIONS, AND ACQUISITIONS WERE MAJORLY ADOPTED STRATEGIES BY MARKET PLAYERS FROM 2017 TO 2021
12.9.1 PRODUCT LAUNCHES AND DEVELOPMENTS
TABLE 150 MARKET: PRODUCT LAUNCHES AND DEVELOPMENTS, 2017–2021
12.9.2 DEALS
TABLE 151 MARKET: DEALS, 2017–2021
13 COMPANY PROFILES (Page No. - 200)
13.1 KEY PLAYERS
(Business Overview, Products/Services/Solutions Offered, MnM View, Key Strengths and Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats, Recent Developments)*
13.1.1 NVIDIA
TABLE 152 NVIDIA: BUSINESS OVERVIEW
FIGURE 63 NVIDIA: COMPANY SNAPSHOT
13.1.2 INTEL
TABLE 153 INTEL: BUSINESS OVERVIEW
FIGURE 64 INTEL: COMPANY SNAPSHOT
13.1.3 MICROSOFT
TABLE 154 MICROSOFT: BUSINESS OVERVIEW
FIGURE 65 MICROSOFT: COMPANY SNAPSHOT
13.1.4 IBM
TABLE 155 IBM: BUSINESS OVERVIEW
FIGURE 66 IBM: COMPANY SNAPSHOT
13.1.5 QUALCOMM
TABLE 156 QUALCOMM: BUSINESS OVERVIEW
FIGURE 67 QUALCOMM: COMPANY SNAPSHOT
13.1.6 AWS
TABLE 157 AWS: BUSINESS OVERVIEW
FIGURE 68 AWS: COMPANY SNAPSHOT
13.1.7 XILINX
TABLE 158 XILINX: BUSINESS OVERVIEW
FIGURE 69 XILINX: COMPANY SNAPSHOT
13.1.8 GOOGLE
TABLE 159 GOOGLE: BUSINESS OVERVIEW
FIGURE 70 GOOGLE: COMPANY SNAPSHOT
13.1.9 FACEBOOK
TABLE 160 FACEBOOK: BUSINESS OVERVIEW
FIGURE 71 FACEBOOK: COMPANY SNAPSHOT
13.1.10 BASLER
TABLE 161 BASLER: BUSINESS OVERVIEW
FIGURE 72 BASLER: COMPANY SNAPSHOT
13.1.11 GROQ
TABLE 162 GROQ: BUSINESS OVERVIEW
13.1.12 HAILO
TABLE 163 HAILO: BUSINESS OVERVIEW
*Business Overview, Products/Services/Solutions Offered, MnM View, Key Strengths and Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats, Recent Developments might not be captured in case of unlisted companies.
13.2 OTHER COMPANY PROFILES
13.2.1 CEVA, INC.
13.2.2 AMD
13.2.3 GRAPHCORE
13.2.4 GROOPIC
13.2.5 LEAP MOTION
13.2.6 ALGOLUX
13.2.7 ATHENA SECURITY
13.2.8 LIONBRIDGE AI
13.2.9 VIZSEEK
13.2.10 OCULUS
13.2.11 CUREMETRIX
13.2.12 TRIVISION
13.2.13 ROBOTIC VISION TECHNOLOGIES
13.2.14 AMP ROBOTICS
13.2.15 ZIVID
13.2.16 INSPEKTO
13.2.17 CREATIVE VIRTUAL
14 APPENDIX (Page No. - 256)
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 AVAILABLE CUSTOMIZATIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
The study involved 4 major activities in estimating the current size of AI in computer vision market. Exhaustive secondary research has been conducted to collect information about the market, the peer market, and the parent market. Validating findings, assumptions, and sizing with industry experts across the value chain through primary research has been the next step. Both top-down and bottom-up approaches have been employed to estimate the complete market size. After that, market breakdown and data triangulation methods have been used to estimate the market size of segments and subsegments.
Secondary Research
The research methodology used to estimate and forecast the AI in computer vision market begins with capturing the data on revenues of the key vendors in the market through secondary research. This study involves the use of extensive secondary sources, directories, and databases, such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource, to identify and collect information useful for the technical and commercial study of the AI in computer vision market. Secondary sources also include annual reports, press releases, and investor presentations of companies; white papers, certified publications, and articles from recognized authors; directories; and databases. Secondary research has been mainly done to obtain key information about the industry’s supply chain, market’s value chain, total pool of key players, market classification and segmentation according to industry trends, geographic markets, and key developments from both market- and technology oriented perspectives.
Primary Research
In the primary research process, various primary sources from both supply and demand sides were interviewed to obtain the qualitative and quantitative information relevant to the AI in computer vision market. Primary sources from the supply side include experts such as CEOs, vice presidents, marketing directors, technology and innovation directors, application developers, application users, and related executives from various key companies and organizations operating in the ecosystem of the AI in computer vision market.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches have been used to estimate and validate the overall size of the AI in computer vision market. These methods have also been used extensively to estimate the size of various market subsegments. The research methodology used to estimate the market size includes the following:
- Key players in major applications and markets have been identified through extensive secondary research.
- The industry’s supply chain and market size, in terms of value, have been determined through primary and secondary research processes.
- All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Data Triangulation
After arriving at the overall market size using the estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakdown procedures have been employed, wherever applicable. The data have been triangulated by studying various factors and trends from both the demand and supply sides.
Report Objectives
- To define, describe, and forecast the AI in computer vision market on the basis of component, machine learning models, function, application, end-use industry, and region
- To forecast the size of the market segments for four major regions—North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW)
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific 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 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, new product developments, and research & development (R&D) in the market
- To analyze the impact of COVID-19 on the AI in computer vision market and provide market estimates for both pre-and post-COVID-19 scenarios
Available Customizations
With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to 5)
Growth opportunities and latent adjacency in AI in Computer Vision Market