AI in Computer Vision Market is forecasted to value over USD 72.5 billion by 2028 end and register a CAGR of 26% from the forecast period 2021-2028.
As per the market analysis performed by research analysts at Future Market Analytics, the adoption of Artificial Intelligence and Machine Learning (ML) by organizations across the world has risen and it is predicted that this rate of adoption shall increase in future as well. This is due to the advantages AI and machine learning offer in risk assessment, business analytics, research, and development. Professionals are also pushing for a safer and transparent implementation of this technology which shall further propel its growth. The integration of AI and IoT can be beneficial for the industrial as well as home automation sector, thus accelerating the growth of the AI and ML industry. AI would soon help understand the functionalities of invasive bacteria and viruses and aid in curing terminal diseases like cancer thus having the potential of limiting the implementation of age-old remedies like chemotherapy.
The assessment of the AI in Computer Vision Market is performed considering various factors, like for instance, the business expansion policies of key players, competitive analysis of the progress of new entrants and emerging players, the revenue, financial, and opportunity analysis of market players. The AI in Computer Vision Market is also analyzed based on the regional segmentation, product type or technique, end-user spectrum, etc. This research will be conducted with the implementation of the latest market research methodologies which shall help organizations comprehend the overall market scenario and strategize accordingly.
Major players included in the AI in Computer Vision Market:
- Intel
- Nvidia
- Microsoft Corp.
- IBM Corp.
- Qualcomm
- AWS
- Xilinx
- Basler
- Hailo
- GROQ
- CEVA, Inc.
- AMD
- Graphcore
- Groopic
- Leap Motion
- Algolux
- Athena Security
- LionBridge AI
- Vizseek
- Oculus
- Curemetrix
- Trivision
- Robotic Vision Technologies
(Note: The list of the major players will be updated with the latest market scenario and trends)
AI in Computer Vision Market Segmentation:
By Component
- Hardware
- Processor
- CPU
- GPU
- ASIC
- FPGA
- Memory
- Storage
- Processor
- Software
- AI Platform
- AI Solution
By Machine Learning Model
- Supervised Learning
- Convolutional Neural Network
- Recurrent Neural Network
- Unsupervised Learning
- Reinforcement Learning
By Function
- Training
- Inference
By Application
- Non-industrial
- Industrial
- 2D Machine Vision
- 3D Machine Vision
- Quality Assurance & Inspection
- Positioning And Guidance
- Others
By End-use industry
- Automotive
- Adas And Infotainment
- Autonomous And Semi-autonomous Vehicles
- Consumer Electronics
- Gaming
- Cameras
- Wearables
- Smartphones
- Healthcare
- Radiology
- Medical Imaging
- Retail
- Security & Surveillance
- Biometrics
- Image And Video Analytics
- AI-guided Drone-based Surveillance
- Manufacturing
- Agriculture
- Crop Monitoring
- Automated Irrigation System
- Transportation & Logistics
- Others (Military and Construction)
By Region
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
AI in Computer Vision Market Competitive Analysis:
- Tier-1 Players
- Tier-2 Players
- Emerging Players
- New Entrants
Future Market Analytics Focus Points:
- SWOT Analysis
- Key Market Trends
- Key Data -Points Affecting Market Growth
- Revenue and Forecast Analysis
- Growth Opportunities For New Entrants and Emerging Players
- Key Player and Market Growth Matrix
Objectives of the Study:
- To provide a comprehensive analysis on the AI in Computer Vision Market By Component, By Machine Learning Model, By Function, By Application, By End-use industry and By Region
- To cater extensive insights on factors influencing the market growth (drivers, restraints, industry-specific restraints, business expansion opportunities)
- To anticipate and analyse the market size expansion in key regions- North America, Europe, Asia Pacific, Latin America and Middle East and Africa
- To record and evaluate competitive landscape mapping- strategic alliances and mergers, technological advancements and product launches, revenue and financial analysis of key market players
In case of any requirements or changes to the current table of content please contact us at:enquiry@futuremarketanalytics.com
