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

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

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.

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.

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.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Artificial Intelligence in Computer Vision Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

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

Market Segmentation Analysis

• Offering: Increasing consumers preference for AI-powered computer vision solution
• Deployment: Expansion of cloud deployment of AI in computer vision
• Application: Increasing use of AI in computer vision for facial detection and object detection for unique identification
• End-User Industry: Increasing adoption of AI computer vision in manufacturing and retail businesses to reduce the workload complexity

Market Disruption Analysis

• Porter’s Five Forces Analysis
• Value Chain & Critical Path Analysis
• Pricing Analysis
• Technology Analysis
• Patent Analysis
• Trade Analysis
• Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Artificial Intelligence in Computer Vision Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment 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, namely 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 assessment of the current state of vendors in the Artificial Intelligence in Computer Vision Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. 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 these illustrative details, 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.

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.

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.

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Artificial Intelligence in Computer Vision Market. This critical assessment involves a thorough analysis of the organization’s resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

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

Please Note: PDF & Excel + Online Access - 1 Year