The latest study released on the Global AI Image Recognition Market by AMA Research evaluates market size, trend, and forecast to 2026. The AI Image Recognition market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.
Definition and Brief Information about AI Image Recognition:
Artificial Intelligence system which processes visual information depends on the computer systems, which are capable of identifying specific objects. It categorizes the image which is based on content and performs image recognition. This system is important for robots which need to quickly and accurately recognize the objects in the environment. In addition, it is used by driver less cars to identify the pedestrians, signs, and vehicles. These applications in electric vehicles and robots are increasing the demand of AI image recognition.
This Report also covers the emerging player's data, including: competitive situation, sales, revenue and global market share of top manufacturers such as:
- Google (United States)
- IBM (United States)
- Intel (United States),Microsoft (United States)
- Amazon Web Services (United States)
- Qualcomm Inc. (United States)
- NEC Corporation (Japan)
- LTU Technologies (France)
- Honeywell International Inc. (United States)
- Catchoom Technologies S.L. (Spain).
Market Drivers:
- Increasing Usage of Image Recognition in Security and Surveillance
- Growing Popularity of Social Media with Internet Penetration is Fueling the Market
Market Opportunities:
- Increasing Penetration of E commerce is Boosting the Market
- Wide Range of Applications of AI Based Image Recognition
By Application:
- Automotive, Scanning and imaging, Security and Surveillance, Image search, Others
- Components (Hardware, Software, Service)
- Image Recognition Technique (QR/ Barcode Recognition, Object Recognition, Facial Recognition, Pattern Recognition, Optical Character Recognition)
- Industry Vertical (Retail & E-commerce, Media & Entertainment, BFSI, Automobile & Transportation, IT & Telecom, Government, Healthcare, Others)
Back to News
