Global reinforcement learning in computer vision will reach $34.7 billion by 2027
DUBLIN, February 21, 2022 /PRNewswire/ — The report “AI in Computer Vision Market by Technology, Solutions, Use Cases, Deployment Model, and Industry Verticals 2022-2027″ has been added to from ResearchAndMarkets.com offer.
This report assesses the application of AI in computer vision systems used in conjunction with connected devices, hardware components, embedded software, AI platforms and analytics. The report analyzes machine learning models and APIs used in computer vision systems as well as the application of neural networks in AI analysis systems.
This research also assesses the causal relationship between computer vision systems and IoT, edge computing and connected machines, as well as underlying hardware and software technology. The report also analyzes the relationship between emotional AI and computer vision systems along with market factors.
Select report results:
- Global AI in Computer Vision Market to Reach $73.7 billion by 2027
- Global reinforcement learning in computer vision will achieve $34.7 billion by 2027
- Global 2D and 3D machine vision will reach $3.4 billion and $7.4 billion respectively by 2027
- Global AI in Computer Vision by Unit Volume Expansion to Grow to 37.8% CAGR to 2027
- The global market for cameras with a frame rate greater than 125 per second will exceed $10 billion by 2027
- Asia Pacific market for software supporting AI in computer vision will reach $11.8 billion by 2027 at a CAGR of 33.7%
Computer vision systems are dedicated to simulating the human visual system while analyzing information extracted from photos and videos. They do this by means of mathematical operations in conjunction with signal processing systems to process digital and analog images. These systems exploit both two-dimensional and three-dimensional processes.
AI represents the ability to organize information and create outcomes in learning, decision making and problem solving using a computerized robotic system in the same way a brain does human. The integration of artificial intelligence and computer vision systems improves the accuracy of object identification, classification and information analysis.
By leveraging AI, computer vision systems provide a robotic system in which vision sensing capabilities provide information about the environment. One of the best examples of this in practice is autonomous vehicles, which rely on computer vision and AI-based decision making to travel safely.
Main topics covered:
1.0 Executive Summary
2.1 Defining AI in computer vision
2.2 Artificial general intelligence and super intelligence
2.3 AI and Computer Vision Market Forecast
2.4 AI Results and Business Benefits
2.5 Cognitive computing and swarm intelligence
2.6 Analysis of Market Drivers and Opportunities
2.7 Market Challenges Analysis
2.8 Impact of Covid-19
2.9 Value chain analysis
2.10 Price Analysis
2.11 HS Code 854231
2.12 AI patent and regulatory framework
2.13 AI public policy issues
3.0 Technology and Application Analysis
3.1 Technology Analysis
3.2 IoT Device Ecosystem: Consumer, Enterprise, Industry and Government
3.3 Machine learning model
3.4 Artificial neural networks
3.5 AI analysis of emotions
3.6 Edge Computing and 5G networks
3.7 Smart Machine and Virtual Pairing
3.8 Factory Automation and Industry 4.0
3.9 Building Automation and Smart Workplace
3.10 Cloud robotics and public safety
3.11 Predictive 3D design
3.12 IoT Application and Big Data Analysis
3.13 AI application delivery platforms
3.14 Business adoption and external investment
3.15 Vertical Application and Industry Analysis
3.16 Use case analysis
4.0 Business Analysis
5.0 AI in Computer Vision Market Analysis and Forecast 2022-2027
- AB Electrolux
- ABB Ltd.
- AIBrian Inc.
- Amazon Inc.
- AMP Robotics
- Apple Inc.
- ARM limited
- Athena Security
- Atmel Company
- Baidu inc.
- Brighterion Inc.
- Ceva Inc.
- Virtual Creative
- Numerical Reasoning Systems Inc.
- Facebook (meta)
- General Electric
- General Vision Inc.
- Hewlett Packard Enterprise
- Huawei Technologies Co.Ltd.
- iRobot Corp.
- Koninklijke Philips NV
- jump movement
- LeapMotion Inc.
- Lionbridge AI
- Motion Controls Robotics Inc.
- Nuance Communications Inc.
- Omron Adept Technology
- Panasonic Company
- PointGrab Ltd.
- Rethinking robotics
- Robotic vision technologies
- Samsung Electronics Co Ltd.
- Siemens AG
- SoftBank Robotics Holding Corp.
- SparkCognition Inc.
- Texas Instruments Inc.
- Xiaomi Technology Co.Ltd.
For more information about this report visit https://www.researchandmarkets.com/r/r2ayu
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