Computer Vision - Thematic Intelligence

Computer Vision - Thematic Intelligence

Summary

The explosion in the volume of visual data, coupled with the increased sophistication of artificial neural networks and the availability of chips created specifically for artificial intelligence (AI) processes, will all drive growth in computer vision (CV) over the coming years. CV will find myriad applications in several industries, reaching a market size of $32.8 billion by 2030, up from $12.5 billion in 2021, according to GlobalData forecasts.

Key Highlights

  • The level of underlying intelligence required for CV in autonomous vehicles (AVs) and autonomous mobile robots (AMRs) is significantly higher than that needed to recognize faces or read barcodes. An internal three-dimensional representation of the world, spatial awareness, and planning and reasoning capabilities are needed. Fully autonomous vehicles (Level 5) are not expected until 2035, largely because of these CV challenges. Competition in these fields will intensify in the coming years.
  • Driven by ethical and political reasons, using CV in facial recognition will increase divergence over standards and regulatory approaches. This will ultimately lead to a supply chain decoupling in the CV segment, as is already underway in semiconductors. Once the regulatory wheels are in motion, it will likely impact the CV market beyond just facial recognition.
  • CV solutions rely on advanced AI chips due to the exponential increase in data sets’ sizes and algorithms’ complexity. As such, the ongoing US-China trade dispute, which has led to the US prohibiting exports to China of either advanced AI chips or the advanced tools to manufacture them, will disrupt the competitive landscape of the CV industry. As with AI chips and other advanced semiconductors, China will lose its CV market dominance unless it can secure access to advanced chip manufacturing technology.
Scope
  • This report provides an overview of the computer vision theme.
  • It identifies the key trends impacting growth of the theme over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends.
  • It includes global market forecasts for the computer vision market and analysis of patents, company filings, and hiring trends.
  • It contains details of M&A deals driven by the computer vision theme, and a timeline highlighting milestones in the development of computer vision.
  • The detailed value chain consists of three segment: hardware, software, and delivery.
Reasons to Buy
  • Computer vision is being commercialized across several areas, including automotive, consumer, industrial, medical, and entertainment.
  • This report provides a clear and concise analysis of computer vision, including valuable insights into how it works, what it is being used for, and which companies are at the forefront of its development. It also evaluates the controversial nature of technology like facial recognition and looks at how regulators could limit its use.


  • Executive Summary
  • Players
    • Table Figure 1: Who are the leading players in the computer vision theme, and where do they sit in the value chain?
  • Technology Briefing
    • What is computer vision?
      • Table Figure 2: Computer vision use cases are diverse
    • Four key CV technologies
      • Image recognition
        • Table Figure 3: Image recognition systems have no fundamental understanding of what they see
      • Video recognition
        • Table Figure 4: Video recognition systems can detect copyright infringement
      • Object detection
        • Table Figure 5: Object detection recognizes the object and is also able to locate it in the image
      • Positioning and navigation
        • Table Figure 6: Machine vision uses digital input and output to manipulate mechanical components
        • Table Figure 7: Proteus operates alongside humans
    • CV and ethics
      • Table Figure 8: State surveillance is spreading across all types of regimes
      • Inaccuracy
        • Table Figure 9: Cameras monitor all customers at supermarkets
      • Privacy
      • Time limits
      • Lack of technical standards
      • Ubiquity
  • Trends
    • Technology trends
      • Table Technology trends
    • Macroeconomic trends
      • Table Macroeconomic trends
    • Regulatory trends
      • Table Regulatory trends
  • Industry Analysis
    • Market size and growth forecasts
      • Table Figure 10: The global specialized AI applications market will be worth $66.6 billion by 2030
      • Table Figure 11: The global CV applications market will be worth $32.8 billion by 2030
      • Table Figure 12: North America and Asia Pacific are the leading CV markets
      • Table Figure 13: AI, including CV, is viewed as an important theme among businesses globally
    • Competitive analysis
      • US leaders in CV
        • Table Figure 14: Google Vision AI supports many use cases, including visual product search and image detection
      • Chinese leaders in CV
        • Table Figure 15: Face++ is the largest facial recognition platform
    • Use cases
      • Servers
        • Table Figure 16: The CV value chain
      • Automotive
        • Table Figure 17: Intel is a leading provider of automotive CV
      • Healthcare
        • Table Figure 18: CV and AI provide clinical decision support
      • Advertising
        • Table Figure 19: CV understands the picture to help place ads
      • Banking and finance
        • Table Figure 20: CV can improve security and usability of ATMs
      • Utilities
        • Table Figure 21: CV enables predictive vegetation management
    • Mergers and acquisitions
      • Table Figure 22: Computer-vision-related M&A activity rebounded strongly post COVID
      • Table Figure 23: The acceleration of CV-related venture capital financing activity started a few years earlier than M&A
      • Table Key M&A transactions associated with the CV theme since January 2021
    • Patent trends
      • Table Figure 24: China and US lead in CV patents
    • Company filings trends
      • Table Figure 25: CV mentions in company filings accelerated in 2019
    • Hiring trends
      • Table Figure 26: CV hiring has slowed down since Q1 2022
      • Table Figure 27: Amazon, Apple, and Meta are the leading recruiters of CV specialists
    • Timeline
      • Table Figure 28: The computer vision story
  • Value Chain
    • Table Figure 29: The computer vision value chain
    • Hardware
      • Semiconductors
        • Table Figure 30: The CV value chain - Hardware - semiconductors
      • Cameras
        • Table Figure 31: The CV value chain - Hardware - cameras
      • Sensors and lasers
        • Table Figure 32: The CV value chain - Hardware - sensors and lasers
      • Storage
        • Table Figure 33: The CV value chain - Hardware - storage
      • Networking equipment
        • Table Figure 34: The CV value chain - Hardware - networking equipment
      • Edge equipment
        • Table Figure 35: The CV value chain - Hardware - edge equipment
    • Software
      • Foundation layer
        • Table Figure 36: The CV value chain - Software - foundation layer - machine learning
        • Table Figure 37: The CV value chain - Software - foundation layer - 3D modeling
        • Table Figure 38: The CV value chain - Software - foundation layer - knowledge representation and reasoning
      • Application layer
        • Table Figure 39: The CV value chain - Software - application layer - image recognition
        • Table Figure 40: The CV value chain - Software - application layer - video recognition
        • Table Figure 41: The CV value chain - Software - application layer - object detection
        • Table Figure 42: The CV value chain - Software - application layer - positioning and navigation
    • Delivery
      • Table Figure 43: The CV value chain - Delivery
      • Hardware appliance
      • Computer vision as a service
      • Licensed software
  • Companies
    • Public companies
      • Table Public companies
    • Private companies
      • Table Private companies
  • Sector Scorecards
    • Application software sector scorecard
      • Who’s who
        • Table Figure 44: Who does what in the application software space?
      • Thematic screen
        • Table Figure 45: Thematic screen - Application software sector scorecard
      • Valuation screen
        • Table Figure 46: Valuation screen - Application software sector scorecard
      • Risk screen
        • Table Figure 47: Risk screen - Application software sector scorecard
    • Semiconductor sector scorecard
      • Table Figure 48: Who does what in the semiconductor space?
      • Thematic screen
        • Table Figure 49: Thematic screen - Semiconductor sector scorecard
      • Valuation screen
        • Table Figure 50: Valuation screen - Semiconductor sector scorecard
      • Risk screen
        • Table Figure 51: Risk screen - Semiconductor sector scorecard
    • Consumer electronics sector scorecard
      • Who’s who
        • Table Figure 52: Who does what in the consumer electronics space?
      • Thematic screen
        • Table Figure 53: Thematic screen - Consumer electronics sector scorecard
      • Valuation screen
        • Table Figure 54: Valuation screen - Consumer electronics sector scorecard
      • Risk screen
        • Table Figure 55: Risk screen - Consumer electronics sector scorecard
  • Glossary
    • Table Glossary
  • Further Reading
    • GlobalData reports
      • Table Private companies
  • Our thematic research methodology
    • Table Figure 56: Our five-step approach for generating a sector scorecard
  • About GlobalData
  • Contact Us

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