Artificial Intelligence in Computer Vision Market by Offering, Processes, End-User Industry, Application, Deployment, Organization Size

Description

List of Tables

The Artificial Intelligence in Computer Vision Market was valued at USD 10.21 billion in 2023, expected to reach USD 12.56 billion in 2024, and is projected to grow at a CAGR of 24.02%, to USD 46.10 billion by 2030.

The artificial intelligence (AI) in computer vision market encompasses technologies that enable machines to interpret and make decisions based on visual data. This sector is growing exponentially due to increasing demands across various industries for automated systems that can perform complex visual tasks such as object recognition, image analysis, and real-time video processing. The necessity of AI in computer vision stems from its potential to revolutionize fields like automotive (autonomous vehicles), healthcare (medical imaging diagnostics), and retail (enhanced customer experiences through surveillance and personalization). The market's end-use scope includes applications in security and surveillance, manufacturing (quality control), agriculture (crop monitoring), and entertainment (augmented and virtual reality).

KEY MARKET STATISTICS
Base Year [2023]	USD 10.21 billion
Estimated Year [2024]	USD 12.56 billion
Forecast Year [2030]	USD 46.10 billion
CAGR (%)	24.02%

Key growth factors include advancements in deep learning algorithms, increasing computational power, and rising investments in AI research and development. Potential opportunities lie in emerging markets and sectors where AI can drive productivity and efficiency, such as the integration of computer vision in smart cities and the development of edge computing solutions to reduce latency in data processing. However, challenges such as data privacy concerns, high costs of implementation, and skilled workforce shortages can obstruct market expansion. Moreover, the complexity of training AI models to perform accurately and the lack of standardized protocols across industries remain significant hurdles.

To capitalize on innovation, businesses should focus on developing AI models that require less data for training, exploring low-power and energy-efficient AI solutions, and creating more interpretable and explainable AI systems to build trust among users. Engaging in partnerships with research institutions and startups working on cutting-edge technology can facilitate faster advancements. The nature of the market is highly competitive, with rapid technological evolution making it imperative for firms to remain agile and responsive to new trends. Keeping abreast of policy changes and ensuring ethical AI deployment will also be crucial for sustainable growth in this dynamic field.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Computer Vision Market

The Artificial Intelligence in Computer Vision Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

Market Drivers
- Increasing demand for quality inspection and automation to perform manufacturing process
- Growing demand for novel computer vision technologies in consumer electronics
- Rising government initiatives to promote AI-related technologies and adoption of AI computer vision system
Market Restraints
- High manufacturing and maintenance cost associated with AI in computer vision
Market Opportunities
- Emerging applications of AI computer vision in agriculture and logistics sector
- Rising integration of AI with computer vision in autonomous connected vehicles and robotics
Market Challenges
- Issues associated with the functionality of AI computer vision systems

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Computer Vision Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Computer Vision Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Computer Vision Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Computer Vision Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Computer Vision Market

A detailed market share analysis in the Artificial Intelligence in Computer Vision Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Computer Vision Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Computer Vision Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Computer Vision Market

A strategic analysis of the Artificial Intelligence in Computer Vision Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Computer Vision Market, highlighting leading vendors and their innovative profiles. These include Adobe Inc., Advanced Micro Devices, Inc., Amazon.com Inc., Apple Inc., Arm Limited, Basler AG, Clarifai, Inc., Cognex Corporation, Dataiku, Fujitsu Limited, General Electric Company, Google LLC by Alphabet Inc., Groq, Inc., Hailo Technologies Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Landing AI, LXT, Meta Platforms, Inc., Microsoft Corporation, NetApp, Inc., Nvidia Corporation, Oracle Corporation, Qualcomm Technologies, Inc., Raydiant, Inc., Samsung Electronics Co. Ltd., TechSee Augmented Vision Ltd., Unity Technologies, Wovenware, Inc., and XenonStack Pvt. Ltd..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Computer Vision Market to forecast the revenues and analyze trends in each of the following sub-markets:

Based on Offering, market is studied across Hardware, Services, and Software. The Hardware is further studied across Memory, Network, and Processors. The Processors is further studied across Application-Specific Integrated Circuit, Central Processing Unit, Field Programmable Gate Arrays, Graphics Processing Unit, and Vision Processing Unit.
Based on Processes, market is studied across Inference and Training.
Based on End-User Industry, market is studied across Agriculture, Automotive, Consumer, Healthcare, Robotics & Machine Vision, Security & Surveillance, and Sports & Entertainment. The Agriculture is further studied across Automated Irrigation System and Crop Monitoring. The Automotive is further studied across ADAS & Infotainment and Autonomous & Semi-Autonomous Vehicles. The Consumer is further studied across Cameras, Gaming, Smart Phones, and Wearables. The Healthcare is further studied across Medical Adherence and Radiology. The Robotics & Machine Vision is further studied across Positioning & Guidance and Quality Assurance & Inspection. The Security & Surveillance is further studied across AI-Guided Drone-Based Surveillance, Biometrics, and Image & Video Analytics. The Sports & Entertainment is further studied across Ball Tracking & Player Tracking, Commercial Insertion, and Virtual Reality/Augmented Reality.
Based on Application, market is studied across Industrial and Non-industrial.
Based on Deployment, market is studied across On-Cloud and On-Premises.
Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Product Code: MRR-432EC3BC8E7C

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing demand for quality inspection and automation to perform manufacturing process
  - 5.1.1.2. Growing demand for novel computer vision technologies in consumer electronics
  - 5.1.1.3. Rising government initiatives to promote AI-related technologies and adoption of AI computer vision system
- 5.1.2. Restraints
  - 5.1.2.1. High manufacturing and maintenance cost associated with AI in computer vision
- 5.1.3. Opportunities
  - 5.1.3.1. Emerging applications of AI computer vision in agriculture and logistics sector
  - 5.1.3.2. Rising integration of AI with computer vision in autonomous connected vehicles and robotics
- 5.1.4. Challenges
  - 5.1.4.1. Issues associated with the functionality of AI computer vision systems
5.2. Market Segmentation Analysis
- 5.2.1. Offering: Increasing consumers preference for AI-powered computer vision solution
- 5.2.2. Deployment: Expansion of cloud deployment of AI in computer vision
- 5.2.3. Application: Increasing use of AI in computer vision for facial detection and object detection for unique identification
- 5.2.4. End-User Industry: Increasing adoption of AI computer vision in manufacturing and retail businesses to reduce the workload complexity
5.3. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental

6. Artificial Intelligence in Computer Vision Market, by Offering

6.1. Introduction
6.2. Hardware
- 6.2.1. Memory
- 6.2.2. Network
- 6.2.3. Processors
  - 6.2.3.1. Application-Specific Integrated Circuit
  - 6.2.3.2. Central Processing Unit
  - 6.2.3.3. Field Programmable Gate Arrays
  - 6.2.3.4. Graphics Processing Unit
  - 6.2.3.5. Vision Processing Unit
6.3. Services
6.4. Software

7. Artificial Intelligence in Computer Vision Market, by Processes

7.1. Introduction
7.2. Inference
7.3. Training

8. Artificial Intelligence in Computer Vision Market, by End-User Industry

8.1. Introduction
8.2. Agriculture
- 8.2.1. Automated Irrigation System
- 8.2.2. Crop Monitoring
8.3. Automotive
- 8.3.1. ADAS & Infotainment
- 8.3.2. Autonomous & Semi-Autonomous Vehicles
8.4. Consumer
- 8.4.1. Cameras
- 8.4.2. Gaming
- 8.4.3. Smart Phones
- 8.4.4. Wearables
8.5. Healthcare
- 8.5.1. Medical Adherence
- 8.5.2. Radiology
8.6. Robotics & Machine Vision
- 8.6.1. Positioning & Guidance
- 8.6.2. Quality Assurance & Inspection
8.7. Security & Surveillance
- 8.7.1. AI-Guided Drone-Based Surveillance
- 8.7.2. Biometrics
- 8.7.3. Image & Video Analytics
8.8. Sports & Entertainment
- 8.8.1. Ball Tracking & Player Tracking
- 8.8.2. Commercial Insertion
- 8.8.3. Virtual Reality/Augmented Reality

9. Artificial Intelligence in Computer Vision Market, by Application

9.1. Introduction
9.2. Industrial
9.3. Non-industrial

10. Artificial Intelligence in Computer Vision Market, by Deployment

10.1. Introduction
10.2. On-Cloud
10.3. On-Premises

11. Artificial Intelligence in Computer Vision Market, by Organization Size

11.1. Introduction
11.2. Large Enterprises
11.3. Small & Medium Enterprises

12. Americas Artificial Intelligence in Computer Vision Market

12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific Artificial Intelligence in Computer Vision Market

13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam

14. Europe, Middle East & Africa Artificial Intelligence in Computer Vision Market

14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom

15. Competitive Landscape

15.1. Market Share Analysis, 2023
15.2. FPNV Positioning Matrix, 2023
15.3. Competitive Scenario Analysis
- 15.3.1. Landing AI Launches App Space to Enable Rapid Vision System Development
- 15.3.2. Landing AI and Snowflake Partner to Empower AI-Driven Computer Vision on Unstructured Data
- 15.3.3. Pangiam and West Virginia University Research Corporation Partner to Develop Artificial Intelligence and Computer Vision Technology
- 15.3.4. Meta Unveils DINOv2, an AI Vision Transfer Model
- 15.3.5. Intel Labs Advances Computer Vision Development with Two New AI Models
- 15.3.6. France-based AI-Powered Computer Vision Startup XXII Raises EUR 22 Million
- 15.3.7. Deep Learning Robotics Receives Patent for Revolutionary Computer Vision Technology
- 15.3.8. Morse Serves as Counsel to KPM Analytics in Acquisition of AI Developer Smart Vision Works
- 15.3.9. KPM Analytics Acquires Food Focused AI Developer Smart Vision Works
- 15.3.10. Healthy.io Awarded Three New U.S. Patents for Wound-Image Technology
- 15.3.11. Phantom AI Raises USD 36.5 Million in Series C Funding Round
- 15.3.12. Plainsight and Connection Launch AI Alliance to Bring Computer Vision to Enterprises Across Industries
- 15.3.13. Michelin Acquires Computer Vision Start-Up RoadBotics
15.4. Strategy Analysis & Recommendation

Companies Mentioned

1. Adobe Inc.
2. Advanced Micro Devices, Inc.
3. Amazon.com Inc.
4. Apple Inc.
5. Arm Limited
6. Basler AG
7. Clarifai, Inc.
8. Cognex Corporation
9. Dataiku
10. Fujitsu Limited
11. General Electric Company
12. Google LLC by Alphabet Inc.
13. Groq, Inc.
14. Hailo Technologies Ltd.
15. Infosys Limited
16. Intel Corporation
17. International Business Machines Corporation
18. Landing AI
19. LXT
20. Meta Platforms, Inc.
21. Microsoft Corporation
22. NetApp, Inc.
23. Nvidia Corporation
24. Oracle Corporation
25. Qualcomm Technologies, Inc.
26. Raydiant, Inc.
27. Samsung Electronics Co. Ltd.
28. TechSee Augmented Vision Ltd.
29. Unity Technologies
30. Wovenware, Inc.
31. XenonStack Pvt. Ltd.