AI in Computer Vision Market Research Report Forecast to 2030

AI in Computer Vision Market is anticipated to witness a substantial CAGR of 36.0% during the forecast period). The market is considerably developing with the coming of innovation in application markets, for example, auto, customer gadgets, medical care, agribusiness, advanced mechanics, and that's only the tip of the iceberg. The utilization of artificial intelligence in PC vision is flawless as far as market improvement, simplicity of assembling, market situating of items, supply proficiency, observing of stock, and item development, and that's just the beginning.

The interest in man-made intelligence in the PC vision market is expected to be driven by rising interest in computerization and quality examination overall across end-use markets. Further, state-run administrations across the globe are advancing organizations by supporting the joining and mechanization of computer-based intelligence in PC vision to set out open doors for market members in the ecosystem. Notwithstanding, the market reflects security concerns adjusted to investigation and cloud-based picture handling, which is expected to go about as a restraining variable to market improvement over the not-so-distant future.

Versatile Edge Processing is an arising idea which is a worldview that works with cell phones which are assets scant to accomplish high capacities and thus execute information-concentrated applications while teaming up with network servers that are asset-rich to empower pervasive registering. The utilization of edge registering in cell phones is not especially dependent on specific applications but rather is prevalently talked about in various cases. For example, edge registering in cell phones is used in associated vehicles if there should be an occurrence of vehicles that are independent.

Market Segmentation

Computer vision applications of AI are divided into hardware and software.

In this study, the market for artificial intelligence in computer vision has been divided into three categories based on the machine learning method: supervised learning, unsupervised learning, and reinforcement learning.

Home security, home automation, home entertainment, home healthcare, and others are the component-based segments of the AI in Computer Vision Market. Over the projection period, the healthcare category will experience the quickest growth.

Regional Insights

North America is probably going to be the predominant regional market. North America is viewed as a significant center point for computer based intelligence globally, with the US catching the most extreme market portion of 89.54% in North America in 2020. The nation is center point to significant man-made intelligence transforming organizations that have been progressively putting resources into advancements and catering greater part of end use markets across US and North America. Not many of the main artificial intelligence providers in US starting around 2021 incorporates AIBrain, AEye, Anki, AlphaSense, CaseText, Blue Waterway Innovation, ClarifAI, CognitiveScale, DataRobots, and CloudMinds, Unusual Security, ASMP Mechanical technology, Arize computer based intelligence, Atomwise, Bearing, Material, and Cresta among others.

Major Players

The key vendors in the market are Ultraleap, Irida Labs S.A., Clarifai, Inc., General Electric, Teledyne Technologies Inc., Xilinx, Inc., Omron Corporation, Nvidia Corporation, Qualcomm Technologies Inc., Intel Corporation, Google, LLC, Microsoft Corporation, Apple Inc., Meta Platforms Inc. and Prisma AI.

Product Code: MRFR/ICT/5209-CR

1 EXECUTIVE SUMMARY

1.1 GLOBAL AI IN COMPUTER VISION MARKET, BY COMPONENT
1.2 GLOBAL AI IN COMPUTER VISION MARKET, BY MACHINE LEARNING MODEL
1.3 GLOBAL AI IN COMPUTER VISION MARKET, BY END USER
1.4 GLOBAL AI IN COMPUTER VISION MARKET, BY REGION

2 MARKET INTRODUCTION

2.1 DEFINITION
2.2 SCOPE OF THE STUDY
2.3 MARKET STRUCTURE

3 RESEARCH METHODOLOGY

3.1 RESEARCH PROCESS
3.2 PRIMARY RESEARCH
3.3 SECONDARY RESEARCH
3.4 MARKET SIZE ESTIMATION
3.5 TOP-DOWN AND BOTTOM-UP APPROACH
3.6 FORECAST MODEL
3.7 LIST OF ASSUMPTIONS & LIMITATIONS

4 MARKET DYNAMICS

4.1 INTRODUCTION
4.2 DRIVERS
- 4.2.1 GROWING DEMAND FOR EDGE COMPUTING IN MOBILE DEVICES
- 4.2.2 GROWING IMPACT OF AI IN MACHINE VISION
- 4.2.3 INCREASING DEMAND FOR COMPUTER VISION IN NON-TRADITIONAL AND EMERGING APPLICATIONS
4.3 RESTRAINTS
- 4.3.1 HIGH COST OF IMPLEMENTATION
- 4.3.2 LACK OF AWARENESS & TECHNICAL EXPERTISE
4.4 OPPORTUNITIES
- 4.4.1 INCREASED COMPUTING CAPACITY OF AI BASED GPU
- 4.4.2 GOVERNMENT INITIATIVES TO BOOST DEVELOPMENT OF AI-RELATED TECHNOLOGIES
4.5 CHALLENGES
- 4.5.1 RISING SECURITY CONCERNS RELATED TO CLOUD-BASED IMAGE PROCESSING AND ANALYTICS
- 4.5.2 PREMIUM PRICING OF AI HARDWARE
- 4.5.3 LACK OF USER AWARENESS PERTAINING TO RAPIDLY CHANGING MACHINE VISION TECHNOLOGY
4.6 IMPACT OF COVID-19 ON THE MARKET
- 4.6.1 IMPACT OF AI TECHNOLOGY
- 4.6.2 IMPACT ON INDUSTRY VERTICALS

5 MARKET FACTOR ANALYSIS

5.1 SUPPLY CHAIN ANALYSIS
5.2 PORTER'S FIVE FORCES ANALYSIS
- 5.2.1 THREAT OF NEW ENTRANTS
- 5.2.2 BARGAINING POWER OF SUPPLIERS
- 5.2.3 THREAT OF SUBSTITUTES
- 5.2.4 BARGAINING POWER OF BUYERS
- 5.2.5 INTENSITY OF RIVALRY
5.3 MARKET TRENDS
- 5.3.1 COMPUTER VISION ON THE EDGE
- 5.3.2 COMPUTER VISION AS A SERVICE
- 5.3.3 DATA-CENTRIC COMPUTER VISION

6 GLOBAL AI IN COMPUTER VISION MARKET, BY COMPONENT

6.1 INTRODUCTION
6.2 HARDWARE
6.3 SOFTWARE

7 GLOBAL AI IN COMPUTER VISION MARKET, BY MACHINE LEARNING PROCESS

7.1 INTRODUCTION
7.2 SUPERVISED LEARNING
7.3 UNSUPERVISED LEARNING
7.4 REINFORCEMENT LEARNING

8 GLOBAL AI IN COMPUTER VISION MARKET, BY END USER

8.1 INTRODUCTION
8.2 CONSUMER ELECTRONICS
8.3 AUTOMOTIVE
8.4 ROBOTICS
8.5 HEALTHCARE
8.6 SECURITY & SURVEILLANCE
8.7 AGRICULTURE
8.8 OTHERS

9 GLOBAL AI IN COMPUTER VISION MARKET, BY REGION

9.1 INTRODUCTION
9.2 NORTH AMERICA
- 9.2.1 US
- 9.2.2 CANADA
- 9.2.3 MEXICO
9.3 EUROPE
- 9.3.1 GERMANY
- 9.3.2 FRANCE
- 9.3.3 UK
- 9.3.4 ROE
9.4 ASIA PACIFIC
- 9.4.1 CHINA
- 9.4.2 INDIA
- 9.4.3 JAPAN
- 9.4.4 ROAPAC
9.5 MIDDLE EAST & AFRICA
9.6 SOUTH AMERICA

10 COMPETITIVE LANDSCAPE

10.1 OVERVIEW
10.2 COMPETITIVE BENCHMARKING
10.3 MAJOR GROWTH STRATEGY IN THE GLOBAL AI IN COMPUTER VISION MARKET
10.4 THE LEADING PLAYER IN TERMS OF THE NUMBER OF DEVELOPMENTS IN THE GLOBAL AI IN COMPUTER VISION MARKET
10.5 KEY DEVELOPMENT ANALYSIS
10.6 KEY DEVELOPMENTS & GROWTH STRATEGIES
- 10.6.1 PRODUCT LAUNCHES/PRODUCT APPROVALS
- 10.6.2 MERGERS & ACQUISITIONS
- 10.6.3 PARTNERSHIPS & AGREEMENTS
- 10.6.4 EXPANSIONS/INVESTMENTS
10.7 FINANCIAL MATRIX
- 10.7.1 SALES (USD MILLION), 2020

11 COMPANY PROFILES

11.1 ULTRALEAP
- 11.1.1 COMPANY OVERVIEW
- 11.1.2 FINANCIAL OVERVIEW
- 11.1.3 SOLUTIONS OFFERED
- 11.1.4 KEY DEVELOPMENTS
- 11.1.5 SWOT ANALYSIS
- 11.1.6 KEY STRATEGIES
11.2 IRIDA LABS S.A.
- 11.2.1 COMPANY OVERVIEW
- 11.2.2 FINANCIAL OVERVIEW
- 11.2.3 SOLUTIONS OFFERED
- 11.2.4 KEY DEVELOPMENTS
- 11.2.5 SWOT ANALYSIS
- 11.2.6 KEY STRATEGIES
11.3 CLARIFAI, INC.
- 11.3.1 COMPANY OVERVIEW
- 11.3.2 FINANCIAL OVERVIEW
- 11.3.3 SOLUTIONS OFFERED
- 11.3.4 KEY DEVELOPMENTS
- 11.3.5 SWOT ANALYSIS
- 11.3.6 KEY STRATEGIES
11.4 GENERAL ELECTRIC
- 11.4.1 COMPANY OVERVIEW
- 11.4.2 FINANCIAL OVERVIEW
- 11.4.3 PRODUCTS/SERVICES OFFERED
- 11.4.4 KEY DEVELOPMENTS
- 11.4.5 SWOT ANALYSIS
- 11.4.6 KEY STRATEGIES
11.5 TELEDYNE TECHNOLOGIES INC.
- 11.5.1 COMPANY OVERVIEW
- 11.5.2 FINANCIAL OVERVIEW
- 11.5.3 PRODUCTS/SERVICES OFFERED
- 11.5.4 KEY DEVELOPMENTS
- 11.5.5 SWOT ANALYSIS
- 11.5.6 KEY STRATEGIES
11.6 XILINX, INC.
- 11.6.1 COMPANY OVERVIEW
- 11.6.2 FINANCIAL OVERVIEW
- 11.6.3 PRODUCTS/SERVICES OFFERED
- 11.6.4 KEY DEVELOPMENTS
- 11.6.5 SWOT ANALYSIS
- 11.6.6 KEY STRATEGIES
11.7 OMRON CORPORATION (OMRON)
- 11.7.1 COMPANY OVERVIEW
- 11.7.2 FINANCIAL OVERVIEW
- 11.7.3 PRODUCTS/SERVICES OFFERED
- 11.7.4 KEY DEVELOPMENTS
- 11.7.5 SWOT ANALYSIS
- 11.7.6 KEY STRATEGIES
11.8 NVIDIA CORPORATION
- 11.8.1 COMPANY OVERVIEW
- 11.8.2 FINANCIAL OVERVIEW
- 11.8.3 PRODUCTS OFFERED
- 11.8.4 KEY DEVELOPMENTS
- 11.8.5 SWOT ANALYSIS
- 11.8.6 KEY STRATEGIES
11.9 QUALCOMM TECHNOLOGIES INC
- 11.9.1 COMPANY OVERVIEW
- 11.9.2 FINANCIAL OVERVIEW
- 11.9.3 PRODUCTS OFFERED
- 11.9.4 KEY DEVELOPMENTS
- 11.9.5 SWOT ANALYSIS
- 11.9.6 KEY STRATEGIES
11.1 INTEL CORPORATION
- 11.10.1 COMPANY OVERVIEW
- 11.10.2 FINANCIAL OVERVIEW
- 11.10.3 PRODUCTS OFFERED
- 11.10.4 KEY DEVELOPMENTS
- 11.10.5 SWOT ANALYSIS
- 11.10.6 KEY STRATEGIES
11.11 GOOGLE, LLC
- 11.11.1 COMPANY OVERVIEW
- 11.11.2 FINANCIAL OVERVIEW
- 11.11.3 PRODUCTS OFFERED
- 11.11.4 KEY DEVELOPMENTS
- 11.11.5 SWOT ANALYSIS
- 11.11.6 KEY STRATEGIES
11.12 MICROSOFT CORPORATION
- 11.12.1 COMPANY OVERVIEW
- 11.12.2 FINANCIAL OVERVIEW
- 11.12.3 SOLUTIONS OFFERED
- 11.12.4 KEY DEVELOPMENTS
- 11.12.5 SWOT ANALYSIS
- 11.12.6 KEY STRATEGIES
11.13 APPLE INC.
- 11.13.1 COMPANY OVERVIEW
- 11.13.2 FINANCIAL ANALYSIS
- 11.13.3 PRODUCTS OFFERED
- 11.13.4 KEY DEVELOPMENTS
- 11.13.5 SWOT ANALYSIS
- 11.13.6 KEY STRATEGIES
11.14 META PLATFORMS INC.
- 11.14.1 COMPANY OVERVIEW
- 11.14.2 FINANCIAL ANALYSIS
- 11.14.3 PRODUCTS OFFERED
- 11.14.4 KEY DEVELOPMENTS
- 11.14.5 SWOT ANALYSIS
- 11.14.6 KEY STRATEGIES
11.15 PRISMA AI
- 11.15.1 COMPANY OVERVIEW
- 11.15.2 FINANCIAL ANALYSIS
- 11.15.3 PRODUCTS OFFERED
- 11.15.4 KEY DEVELOPMENTS
- 11.15.5 SWOT ANALYSIS
- 11.15.6 KEY STRATEGIES

12 APPENDIX

12.1 REFERENCES
12.2 RELATED REPORTS