Computer Vision in Aerospace and Defense - Thematic Research
Summary
Computer Vision (CV) represents a major advancement in computing which will result in the advancement of autonomous technology and surveillance technology. Computer Vision will result in increased growth in coming years and increasing focus on the potential of autonomous vehicles, combined with the increasing acquisition of large amounts of data has contributed to interest in the field.
Computer Vision is the field that examines how computers can gain an understanding of digital images and videos. It has gained increasing attention as the capability to gather high-quality satellite imagery and drone footage has grown, and it has significant abilities to enable advanced technologies.
CV will be essential in the development of other new technologies; hypersonic will be required to utilize Computer Vision (CV) for targeting [and] Computer Vision (CV) will also be required for advanced drones”.
The report “Computer Vision (CV) in Aerospace and Defense - Thematic Research” summarises the Computer Vision (CV) market and provide information about the financial prospects of the market and the direction of market trends.
Key Highlights
- CV will find myriad applications in several industries, reaching a market size of $28bn by 2030, up from $3.5bn in 2019
- There will be a significant collaboration between technology companies and defense contractors as technology companies are ahead in CV development
- CV technology has the potential to become more integrated into the supply chain and not just be part of end-user products
- The main trends in computer vision over the next 12 to 24 months are highlighted. We classify these trends into four categories: Aerospace and Defense Trends, Technology Trends, Regulatory Trends, and macroeconomic trends.
- The report includes an in-depth industry analysis of computer vision and key used cases highlights how defense primes, aerospace companies, and governments have started to develop and implement computer vision technology.
- This report is part of our ecosystem of thematic investment research reports, supported by our “thematic engine”.
- Determine potential investment companies based on trend analysis and market projections.
- Gaining an in-depth understanding of the technology and the market surrounding the technology, as well as how other technologies are likely to benefit from CV.
- Strengthen your understanding of market trends as well as how the latest technological developments will impact the market
- Introduction
- Computer vision is one of the most versatile new technologies
- It will have significant implications for aerospace and defense
- Players
- Table Figure 1: Who are the big players in the computer vision industry and where do they sit in the value chain?
- Technology briefing
- Definitions
- Four key CV technologies
- Image recognition
- Table Figure 2: Image recognition systems have no real understanding of what they are looking at their function is just a statistical comparison of data sets
- Object detection
- Table Figure 3: Object detection recognizes the object and is also able to locate it in the image
- Video recognition
- Table Figure 4: Video recognition technology identifies useful information about the content
- Machine vision
- Table Figure 5: Machine vision uses digital input and output to manipulate mechanical components
- Image recognition
- CV and ethics
- Table Figure 6: State surveillance in China is greater than in any other country AI surveillance technology map
- Inaccuracy
- Privacy
- Time limits
- Lack of technical standards
- Ubiquity
- Trends
- Technology trends
- Table Technology trends
- Macroeconomic trends
- Table Macroeconomic trends
- Regulatory trends
- Table Regulatory trends
- Aerospace and defense Trends
- Table Aerospace and defense Trends
- Technology trends
- Industry analysis
- Market size and growth forecasts
- Table Figure 7: We forecast the global CV market will grow to $28bn by 2030
- Table Figure 8: Computer vision is viewed as an important theme among businesses globally
- Competitive analysis
- US leaders in CV
- Google Vision AI
- Amazon Rekognition
- Microsoft CV API
- IBM Watson Visual Recognition
- Chinese leaders in CV
- Megvii Face++
- SenseTime SenseTotem and SenseFace
- Key use cases
- Commercial aerospace
- Security
- Automated military vehicles
- Satellite computer vision
- Missile targeting systems
- Missile defense systems
- Drone video analysis
- Quality control for (arms) manufacturing
- Mergers and acquisitions
- Table Mergers and acquisitions
- Timeline
- Table Figure 9: The computer vision story How did this theme get here and where is it going?
- Market size and growth forecasts
- Value chain
- Table Figure 10: CV gives computer the power of sight and CV industry value chain
- Hardware
- Cameras
- Table Figure 11: The CV value chain – hardware - Cameras
- Sensors and lasers
- Table Figure 12: The CV value chain – hardware - Sensors and lasers
- AI chips
- Table Figure 13: The CV value chain – hardware - AI chips
- Connected devices
- Table Figure 14: The CV value chain – hardware - Connected devices
- Cameras
- Software
- Facial recognition
- Table Figure 15: The CV value chain – software - Facial recognition
- Object detection
- Table Figure 16: The CV value chain – software - Object detection
- Video recognition
- Table Figure 17: The CV value chain – software - Video recognition
- Machine vision
- Table Figure 18: The CV value chain – software - Machine vision
- Facial recognition
- API platforms
- CVaaS
- Table Figure 19: The CV value chain – API platforms – CvaaS
- Edge processing
- Table Figure 20: The CV value chain – API platforms - Edge processing
- CVaaS
- Impact of CV on aerospace and defense
- Industry use cases
- Military use cases
- Companies
- Public companies
- Table Public companies
- Private companies
- Table Private companies
- Aerospace and defense service companies
- Table Aerospace and defense service companies
- Public companies
- Glossary
- Table Glossary
- Appendix: Our thematic research methodology
- Viewing the world's data by themes makes it easier to make important decisions
- Traditional research does a poor job of picking winners and losers
- That is why we developed our "thematic engine"
- How do we create our sector scorecards?
- Table Figure 21: Our five-step approach for generating a sector scorecard
- What is in our sector scorecards?
- How do we score companies in our thematic screen?
- How our research reports fit into our overall thematic research ecosystem
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