Artificial Intelligence in Computer Vision
SKU
MRR-432EC3BC8E7C
Region
Global
Publication Date
February 2024
Delivery
Immediate
2023
USD 10.21 billion
2030
USD 46.10 billion
2024
USD 12.56 billion
CAGR
24.02%
Artificial Intelligence in Computer Vision Market by Offering (Hardware, Services, Software), Processes (Inference, Training), End-User Industry, Application, Deployment, Organization Size - Global Forecast 2024-2030

[184 Pages Report] The Artificial Intelligence in Computer Vision Market size was estimated at USD 10.21 billion in 2023 and expected to reach USD 12.56 billion in 2024, at a CAGR 24.02% to reach USD 46.10 billion by 2030.

Artificial Intelligence in Computer Vision Market
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The AI in computer vision encompasses developing, integrating, and applying artificial intelligence (AI) algorithms to process, analyze, and interpret images and videos for various end-use industries. This market involves software and hardware components that facilitate AI-driven functionalities such as object recognition, image segmentation, motion detection, and video analytics. The increasing use of object detection in autonomous driving to detect and localize other vehicles, pedestrians, and obstacles on the road is driving the AI in the computer vision market. Furthermore, increasing fraudulent activities in the banking and government sectors is growing the need for AI in computer vision to detect fraud. However, the lack of knowledge, trained professionals, and high costs associated with AI in computer vision limit the adoption. Market players are focusing on training professionals and investing to overcome these issues. Rising government initiatives and the adoption of advanced machine learning and augmented reality are creating lucrative opportunities for market growth.

Artificial Intelligence in Computer Vision Market - Global Forecast 2024-2030
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Offering: Increasing consumers preference for AI-powered computer vision solution

AI-powered computer vision software encompasses various applications designed to analyze, identify, classify, and even predict patterns based on visual data. A key advantage of using AI-driven computer vision software is its ability to process large volumes of visual data at an unprecedented speed and accuracy. AI in computer vision services generally include consulting support to help businesses assess their needs for implementing AI-driven computer vision technologies; system integration and deployment assistance, ensuring the seamless integration of computer vision tools into existing systems; training solutions to help businesses upskill their workforce; and managed services for ongoing maintenance and support.

Deployment: Expansion of cloud deployment of AI in computer vision

With the increasing amount of data generated by cameras and IoT devices, cloud-based AI solutions have emerged as a popular choice for implementing computer vision applications. On-Cloud deployment offers several advantages, making it an attractive solution for businesses leveraging AI-powered computer vision technology. Some organizations prefer on-premises deployment for their AI-driven computer vision applications. This choice is often driven by multiple factors, including stringent security requirements, compliance with regulatory standards, and control over proprietary data.

Application: Increasing use of AI in computer vision for facial detection and object detection for unique identification

Image classification in computer vision is an essential task that assigns predefined categories and labels to images based on their content. Object detection and recognition involve locating objects within an image and a video frame and accurately identifying their class and category. Facial recognition is a subset of biometric identification using facial features to identify individuals uniquely. Gesture recognition involves interpreting human hand and body movements using computer algorithms. In medical imaging, AI has significantly enhanced disease diagnosis, treatment planning, and image-guided interventions.

End-User Industry: Increasing adoption of AI computer vision in manufacturing and retail businesses to reduce the workload complexity

In the automotive industry, AI in computer vision enhances safety and driving experiences. Retail businesses benefit immensely from AI-based computer vision systems by optimizing store layouts, understanding customer behavior patterns, and managing inventory efficiently. In healthcare, AI in computer vision technologies transforms diagnostics, treatment planning, and patient monitoring. Manufacturing processes are being revolutionized by incorporating AI in computer vision systems that ensure production lines' efficiency, quality control, and safety. AI in computer vision applications in security and surveillance has significantly enhanced the protection of public spaces, private properties, and critical infrastructure. In the agriculture industry, AI in computer vision technologies revolutionizes traditional farming practices by optimizing crop management and maximizing yield potential.

Regional Insights

In the Americas, computer vision technology is widely adopted across different industries, such as retail, healthcare, and automotive. Major tech companies have invested heavily in research and development to create innovative solutions as computer vision carries out repetitive and monotonous tasks faster, simplifying the work for humans. Canada is emerging as a leading hub for artificial intelligence research, with several universities and research centers focusing on computer vision technology. The Canadian government has also prioritized AI investment by allocating funds for innovation and talent development. In the European Union (EU), multiple countries are contributing to the growth of computer vision applications. Several initiatives were established by the European Commission to foster collaboration among European researchers. EU countries, including France, the United Kingdom, and Germany, have invested significantly in computer vision start-ups. The Middle East region is witnessing rapid adoption of AI technologies driven by the government's efforts. Furthermore, in Africa, there is growing interest in applying computer vision to address pressing social issues such as agriculture optimization and wildlife conservation. Several African-based start-ups are leveraging AI-based image recognition tools for crop disease detection and anti-poaching efforts. In APAC countries, including China and Japan, demand is driven by extensive industrial applications of computer vision technology. Moreover, India is emerging as an AI hub with numerous start-ups focusing on computer vision solutions for various sectors, including agriculture, security, and healthcare and has initiated a National Program on AI to foster innovation.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Computer Vision Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Computer Vision Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments
  • Landing AI Launches App Space to Enable Rapid Vision System Development

    Landing AI, the major computer vision cloud platform, launched Landing AI App Space, a new repository of applications and use cases to help developers create their own customized Landing AI-based computer vision solutions more quickly. The App Space shares sample mobile-friendly models via QR codes and curated source code that anybody can use to complete their computer vision projects via LandingLens, Landing AI's flagship product. [Published On: 2023-09-26]

  • Landing AI and Snowflake Partner to Empower AI-Driven Computer Vision on Unstructured Data

    Landing AI announced a new partnership with Snowflake Inc., enabling organizations to leverage computer vision for analyzing unstructured data stored on Snowflake. Within the Landing AI platform, models can be trained and deployed as User-Defined Functions (UDFs) on Snowflake. Additionally, Snowflake Marketplace offered pre-trained, industry-standard models such as Snowflake Native Applications. [Published On: 2023-06-27]

  • Pangiam and West Virginia University Research Corporation Partner to Develop Artificial Intelligence and Computer Vision Technology

    The partnership between Pangiam and West Virginia University Research Corporation (WVURC) has significant implications for artificial intelligence in the computer vision market. By leveraging WVURC's expertise in AI technology and Pangiam's expertise in biometrics-based identity verification, the new project aims to develop a comprehensive solution to meet the consumer's changing needs. This could further allow the market to expand its capabilities and achieve greater success in the future. [Published On: 2023-05-02]

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:

  • Offering
    • Hardware
      • Memory
      • Network
      • Processors
        • Application-Specific Integrated Circuit
        • Central Processing Unit
        • Field Programmable Gate Arrays
        • Graphics Processing Unit
        • Vision Processing Unit
    • Services
    • Software
  • Processes
    • Inference
    • Training
  • End-User Industry
    • Agriculture
      • Automated Irrigation System
      • Crop Monitoring
    • Automotive
      • ADAS & Infotainment
      • Autonomous & Semi-Autonomous Vehicles
    • Consumer
      • Cameras
      • Gaming
      • Smart Phones
      • Wearables
    • Healthcare
      • Medical Adherence
      • Radiology
    • Robotics & Machine Vision
      • Positioning & Guidance
      • Quality Assurance & Inspection
    • Security & Surveillance
      • AI-Guided Drone-Based Surveillance
      • Biometrics
      • Image & Video Analytics
    • Sports & Entertainment
      • Ball Tracking & Player Tracking
      • Commercial Insertion
      • Virtual Reality/Augmented Reality
  • Application
    • Industrial
    • Non-industrial
  • Deployment
    • On-Cloud
    • On-Premises
  • Organization Size
    • Large Enterprises
    • Small & Medium Enterprises

  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects:

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

  1. What is the market size and forecast of the Artificial Intelligence in Computer Vision Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Computer Vision Market?
  3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Computer Vision Market?
  4. What is the market share of the leading vendors in the Artificial Intelligence in Computer Vision Market?
  5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Computer Vision Market?

Table of Contents
  1. Preface
  2. Research Methodology
  3. Executive Summary
  4. Market Overview
  5. Market Insights
  6. Artificial Intelligence in Computer Vision Market, by Offering
  7. Artificial Intelligence in Computer Vision Market, by Processes
  8. Artificial Intelligence in Computer Vision Market, by End-User Industry
  9. Artificial Intelligence in Computer Vision Market, by Application
  10. Artificial Intelligence in Computer Vision Market, by Deployment
  11. Artificial Intelligence in Computer Vision Market, by Organization Size
  12. Americas Artificial Intelligence in Computer Vision Market
  13. Asia-Pacific Artificial Intelligence in Computer Vision Market
  14. Europe, Middle East & Africa Artificial Intelligence in Computer Vision Market
  15. Competitive Landscape
  16. Competitive Portfolio
Companies Mentioned
  • 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.
  • XenonStack Pvt. Ltd.
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Frequently Asked Questions about the Artificial Intelligence in Computer Vision Market
The Global Artificial Intelligence in Computer Vision Market size was estimated at USD 10.21 billion in 2023 and expected to reach USD 12.56 billion in 2024.
The Global Artificial Intelligence in Computer Vision Market to grow USD 46.10 billion by 2030, at a CAGR of 24.02%
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