The computer vision market size is projected to be valued at US$ 12.91 billion in 2023 and is expected to rise to US$ 26.11 billion by 2033. The sales of computer vision are expected to record a significant CAGR of 7.3% during the forecast period.
The market refers to the industry that creates and sells technology and solutions that allow machines to interpret and comprehend visual information from their surroundings.
Various factors propelling the demand for computer vision are
Governments all over the world are investing in the development and implementation of computer vision technology for surveillance and security. Technology is being used to monitor public spaces in real time, detect criminal activity, and identify potential security threats.
The Chinese government, for example, has installed millions of surveillance cameras that use computer vision technology to monitor citizens in public places.
Edge computing and 5G networks are likely to enable real-time video data processing and analysis, opening new opportunities for computer vision applications.
Overall, the market is expected to grow significantly in the coming years, owing to technological advancements and rising demand for automation and efficiency across a wide range of industries.
Attribute | Details |
---|---|
Market Estimated Size (2023) | US$ 12.91 billion |
Market CAGR (2023 to 2033) | 7.3% |
Market Forecasted Size (2033) | US$ 26.11 billion |
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The global computer vision market expanded at over 7% CAGR in 2022 and was valued at US$ 11.22 billion in 2021.
The market has been growing steadily over the past decade due to advancements in deep learning and machine learning algorithms. Primarily, computer vision technology was used in research and development, but it has now become more mainstream, with various applications in different industries.
The outlook of the computer vision market is very promising, with several factors driving its growth. The increasing adoption of automation in various industries, such as manufacturing, automotive, and retail, is expected to be a significant driver of the market. Moreover, the growth of the Internet of Things (IoT) and the rise of autonomous vehicles are also expected to fuel market growth.
Overall, the market's outlook is very promising, with innovations and applications emerging in a variety of industries.
The market is anticipated to be valued at US$ 26.11 billion by 2033 and record a progressive CAGR of 7.3% in the analysis period of 2023 to 2033.
The manufacturing sector is experiencing significant growth, with a focus on incorporating advanced technology to improve its processes. One such innovation is Industry 4.0, also known as ‘The Industrial Internet of Things.’ This technology is transforming the manufacturing industry by improving productivity, refining product quality, reducing waste, enhancing manufacturing flexibility, and decreasing operational costs on the factory floor.
The implementation of the Industrial Internet of Things has led to the increased use of Cyber-Physical Systems (CPS). Here components like sensors gather data for producers to identify and trace parts and subassemblies. This process enables devices to exchange information and interact independently. With the progress of data analytics capabilities, there is a growing demand for the analysis of the vast amount of data generated by vision equipment.
Another area of significant innovation in computer vision is 3D vision technology. This technology enables machines to perceive depth and spatial information, making it possible to create 3D models of objects and environments. Applications of 3D vision technology can be found in areas such as industrial automation, robotics, and augmented reality.
Machine vision systems enable efficient and accurate production with increased delivery reliability. However, these systems require careful attention and daily maintenance to ensure continued reliability, which can involve high costs for installation and purchasing. Additionally, a lack of skilled professionals in the market is a restraining factor, as specialized knowledge is required to operate these systems effectively. However, this restraint is expected to improve in the forecast period due to increased penetration in different industries.
The growing availability of cutting-edge hardware devices aids in advanced functions. For instance, with multi-mega-pixel resolution, fast processing, and fully digital data handling, the hardware segment is anticipated to generate significant revenue in the market. Frame grabbers, cameras, processors, lenses, and LED lighting are among the hardware segments. Furthermore, high-performance hardware components have simplified the installation of vision systems. This serves a wide range of diverse applications by providing a variety of networking architectures.
The increasing adoption of artificial intelligence and deep learning technologies is driving demand for advanced software tools that can analyze and interpret visual data. Additionally, the growing demand for automation and digital transformation across various industries is also expected to fuel the growth of the software segment.
Cloud-based computer vision software is also expected to be a significant driver of growth in the software segment. Cloud-based solutions offer greater scalability and flexibility to businesses, enabling them to implement computer vision technology more easily and cost-effectively.
Given its upgradability, low cost, and swap ability, the PC-based computer vision systems segment has generated prominent revenue in the market. A PC-based computer vision system also includes an image processing unit and a few peripheral devices for tasks such as storage, frame grabbing, data transfer, and lighting. Furthermore, these systems are compact, cost-effective, and versatile, making it easier to modify these systems in response to changing standards and rules.
Over the forecast period, demand for smart camera-based computer vision systems is expected to shift significantly. Smart camera-based vision systems are built with open-embedded processing technology. As a result, it eliminates the need for peripherals like an external computer or a frame-capture card. This rapid expansion can be attributed to the low cost, small size, and ease of integration of a smart camera-based computer vision system.
Quality assurance is an essential component of the quality management department that ensures quality requirements are met. The quality management department assures two levels: first to management and then to customers, regulators, government agencies, third parties, and certifiers. This high share can be attributed to the manufacturing industry's rapid adoption of process automation to boost productivity.
Automotive, consumer electronics, metals, wood & paper, food & packaging, machinery, and textiles are examples of verticals that use computer vision applications in manufacturing processes. The rapid adoption of computer vision systems in the automotive and transportation industries is responsible for this high share.
Previously, vision systems were used in the automotive industry to automate vehicle assembly. However, with the introduction of automotive driver assistance and traffic management systems, the scope of computer vision systems in this industry has expanded.
The Asia Pacific region contains one of the world's swiftly growing economies, alongside China and India. China is the world leader in the production of consumer goods and other electronic goods. Because computer vision has numerous applications in the manufacturing sector, one of the key factors promoting market growth in the area is the ‘Made in China 2025’ goal.
Furthermore, because of increased government initiatives, India's healthcare industry is rapidly expanding. The government has put in place several initiatives to promote India's emergence as a center of medical tourism. As a result, it increases the potential for significant capital investments in cutting-edge diagnostic facilities. Thereby increasing the adoption and demand for computer vision technologies.
The market in North America is likely to register a CAGR of 21.8% during the forecast period. Several leading companies in the computer vision industry, including Microsoft, Google, IBM, and Intel, are headquartered in the region. These companies are heavily investing in research and development to advance computer vision technology and improve its applications. The expanding North America regional market and scaling its operations in Canada after the United States. Furthermore, these companies plan to introduce new computer vision tools and boost their profitability in the region.
The Europe computer vision market is expanding rapidly due to increased demand for automation and the adoption of advanced technologies in a variety of industries, including automotive, healthcare, and retail. The region is also home to several leading computer vision companies, including Cognex Corporation, Basler AG, and Sony Europe BV.
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The market is highly competitive, with several key players competing for market share. These players are investing heavily in research and development to advance computer vision technology and improve its applications. A few of the leading companies in the market include
These companies are focusing on various growth strategies such as mergers and acquisitions. Moreover, to expand their market share and strengthen their position in the market, firms are indulged in partnerships and collaborations.
For example, in 2020, NVIDIA Corporation acquired Arm Limited to expand its AI and computer vision capabilities. In 2019, Cognex Corporation acquired Sualab, a South Korean company specializing in deep learning-based vision software, to enhance its machine vision offerings.
The computer vision market is witnessing the entry of several startups, which are developing innovative solutions for various industries. These startups are leveraging AI and machine learning technologies to improve the accuracy and efficiency of computer vision systems.
Recent Developments
Attribute | Details |
---|---|
Growth Rate | CAGR of 7.3% from 2023 to 2033 |
Base Year of Estimation | 2022 |
Historical Data | 2018 to 2022 |
Forecast Period | 2023 to 2033 |
Quantitative Units | Revenue in US$ billion and Volume in Units and F-CAGR from 2023 to 2033 |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, growth factors, Trends, and Pricing Analysis |
Key Segments Covered | By Product Type, By Component, By Application, By Vertical, By Region |
Regions Covered | North America; Latin America; Europe; East Asia; South Asia; The Middle East & Africa; Oceania |
Key Countries Profiled | The United States, Canada, Brazil, Mexico, Germany, Italy, France, The United Kingdom, Spain, Russia, China, Japan, India, GCC Countries, Australia |
Key Companies Profiled | Cognex Corporation; Intel Corporation; Microsoft Corporation; NVIDIA Corporation; Qualcomm Incorporated; Texas Instruments Incorporated; Apple Inc.; Sony Corporation; Basler AG; National Instruments Corporation |
Customization & Pricing | Available upon Request |
The market is valued at US$ 12.91 billion in 2023.
Sony Corporation and Apple Inc. are the key market players.
The industrial segment is likely to remain preferred through 2033.
Players opt for mergers, collaborations, partnerships, and acquisitions.
The United States, China, and India dominate the global market.
1. Executive Summary | Computer Vision Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033 5.3.1. Hardware 5.3.2. Software 5.3.3. Service 5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Product Type 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Product Type, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Product Type, 2023 to 2033 6.3.1. PC-based 6.3.2. Smart Camera-Based 6.4. Y-o-Y Growth Trend Analysis By Product Type, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Product Type, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033 7.3.1. Predictive Maintenance 7.3.2. Quality Assurance & Inspection 7.3.3. Position & Guidance 7.3.4. Identification 7.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End Use 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By End Use, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End Use, 2023 to 2033 8.3.1. Automotive & Transportation 8.3.2. Manufacturing 8.3.3. Government 8.3.4. Retail 8.3.5. BFSI 8.3.6. Healthcare 8.3.7. Others 8.4. Y-o-Y Growth Trend Analysis By End Use, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By End Use, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. South Asia 9.3.5. East Asia 9.3.6. Oceania 9.3.7. MEA 9.4. Market Attractiveness Analysis By Region 10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. USA 10.2.1.2. Canada 10.2.2. By Component 10.2.3. By Product Type 10.2.4. By Application 10.2.5. By End Use 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Component 10.3.3. By Product Type 10.3.4. By Application 10.3.5. By End Use 10.4. Key Takeaways 11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Component 11.2.3. By Product Type 11.2.4. By Application 11.2.5. By End Use 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Component 11.3.3. By Product Type 11.3.4. By Application 11.3.5. By End Use 11.4. Key Takeaways 12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. United kingdom 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Europe 12.2.2. By Component 12.2.3. By Product Type 12.2.4. By Application 12.2.5. By End Use 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Component 12.3.3. By Product Type 12.3.4. By Application 12.3.5. By End Use 12.4. Key Takeaways 13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. India 13.2.1.2. Malaysia 13.2.1.3. Singapore 13.2.1.4. Thailand 13.2.1.5. Rest of South Asia 13.2.2. By Component 13.2.3. By Product Type 13.2.4. By Application 13.2.5. By End Use 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Component 13.3.3. By Product Type 13.3.4. By Application 13.3.5. By End Use 13.4. Key Takeaways 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. China 14.2.1.2. Japan 14.2.1.3. South Korea 14.2.2. By Component 14.2.3. By Product Type 14.2.4. By Application 14.2.5. By End Use 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Component 14.3.3. By Product Type 14.3.4. By Application 14.3.5. By End Use 14.4. Key Takeaways 15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. Australia 15.2.1.2. New Zealand 15.2.2. By Component 15.2.3. By Product Type 15.2.4. By Application 15.2.5. By End Use 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Component 15.3.3. By Product Type 15.3.4. By Application 15.3.5. By End Use 15.4. Key Takeaways 16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of MEA 16.2.2. By Component 16.2.3. By Product Type 16.2.4. By Application 16.2.5. By End Use 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Component 16.3.3. By Product Type 16.3.4. By Application 16.3.5. By End Use 16.4. Key Takeaways 17. Key Countries Market Analysis 17.1. USA 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2022 17.1.2.1. By Component 17.1.2.2. By Product Type 17.1.2.3. By Application 17.1.2.4. By End Use 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2022 17.2.2.1. By Component 17.2.2.2. By Product Type 17.2.2.3. By Application 17.2.2.4. By End Use 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2022 17.3.2.1. By Component 17.3.2.2. By Product Type 17.3.2.3. By Application 17.3.2.4. By End Use 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2022 17.4.2.1. By Component 17.4.2.2. By Product Type 17.4.2.3. By Application 17.4.2.4. By End Use 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2022 17.5.2.1. By Component 17.5.2.2. By Product Type 17.5.2.3. By Application 17.5.2.4. By End Use 17.6. United kingdom 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2022 17.6.2.1. By Component 17.6.2.2. By Product Type 17.6.2.3. By Application 17.6.2.4. By End Use 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2022 17.7.2.1. By Component 17.7.2.2. By Product Type 17.7.2.3. By Application 17.7.2.4. By End Use 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2022 17.8.2.1. By Component 17.8.2.2. By Product Type 17.8.2.3. By Application 17.8.2.4. By End Use 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2022 17.9.2.1. By Component 17.9.2.2. By Product Type 17.9.2.3. By Application 17.9.2.4. By End Use 17.10. India 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2022 17.10.2.1. By Component 17.10.2.2. By Product Type 17.10.2.3. By Application 17.10.2.4. By End Use 17.11. Malaysia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2022 17.11.2.1. By Component 17.11.2.2. By Product Type 17.11.2.3. By Application 17.11.2.4. By End Use 17.12. Singapore 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2022 17.12.2.1. By Component 17.12.2.2. By Product Type 17.12.2.3. By Application 17.12.2.4. By End Use 17.13. Thailand 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2022 17.13.2.1. By Component 17.13.2.2. By Product Type 17.13.2.3. By Application 17.13.2.4. By End Use 17.14. China 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2022 17.14.2.1. By Component 17.14.2.2. By Product Type 17.14.2.3. By Application 17.14.2.4. By End Use 17.15. Japan 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2022 17.15.2.1. By Component 17.15.2.2. By Product Type 17.15.2.3. By Application 17.15.2.4. By End Use 17.16. South Korea 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2022 17.16.2.1. By Component 17.16.2.2. By Product Type 17.16.2.3. By Application 17.16.2.4. By End Use 17.17. Australia 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2022 17.17.2.1. By Component 17.17.2.2. By Product Type 17.17.2.3. By Application 17.17.2.4. By End Use 17.18. New Zealand 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2022 17.18.2.1. By Component 17.18.2.2. By Product Type 17.18.2.3. By Application 17.18.2.4. By End Use 17.19. GCC Countries 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2022 17.19.2.1. By Component 17.19.2.2. By Product Type 17.19.2.3. By Application 17.19.2.4. By End Use 17.20. South Africa 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2022 17.20.2.1. By Component 17.20.2.2. By Product Type 17.20.2.3. By Application 17.20.2.4. By End Use 17.21. Israel 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2022 17.21.2.1. By Component 17.21.2.2. By Product Type 17.21.2.3. By Application 17.21.2.4. By End Use 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Component 18.3.3. By Product Type 18.3.4. By Application 18.3.5. By End Use 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. Avigilon 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. Basler AG 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. Cadence Design Systems 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. Cognex Corporation 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. Google LLC 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. IBM Corporation 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. Intel Corporation 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. Keyence 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. Matterport, Inc. 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. Microsoft Corporation 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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