비주얼 인텔리전스 시장(2025-2032년) : 규모, 점유율, 동향 분석(기술별, 최종 용도별, 용도별, 지역별), 전망, 예측

The Global Visual Intelligence Market size is expected to reach $44.41 billion by 2032, rising at a market growth of 18.8% CAGR during the forecast period.

Computer Vision forms the foundational layer of the global visual intelligence market, enabling machines to interpret, understand, and make decisions based on visual inputs such as images and video. As a mature and widely deployed technology, it plays a pivotal role in powering real-time applications across a broad range of industries including manufacturing, healthcare, automotive, retail, defense, and smart cities.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In May, 2025, Qualcomm Incorporated teamed up with Advantech, a Computer manufacturing company to advance Edge AI for IoT, integrating Qualcomm's Dragonwing tech into Advantech's edge platforms. This collaboration boosts AI performance across industries, supports developer tools for faster deployment, and aims to accelerate intelligent, autonomous edge solutions in robotics, manufacturing, healthcare, and more. Moreover, In February, 2025, Microsoft Corporation announced the partnership with Anduril Industries, a defense industry to advance the U.S. Army's Integrated Visual Augmentation System (IVAS). Anduril will oversee hardware and software development, while Microsoft's Azure cloud will power AI workloads, enhancing battlefield awareness, decision-making, and combat readiness through augmented and virtual reality technologies.

KBV Cardinal Matrix - Visual Intelligence Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Google LLC, Microsoft Corporation, and NVIDIA Corporation are the forerunners in the Visual Intelligence Market. In November, 2024, NVIDIA Corporation teamed up with GFT Technologies, an IT service management company partners with NVIDIA to deliver advanced AI manufacturing solutions, combining GFT's digitization expertise with NVIDIA's AI software and computing platforms. This collaboration enables tailored AI applications like digital twins and visual inspection tools, enhancing quality control and operational efficiency in manufacturing industries worldwide. Companies such as Meta Platforms, Inc., Amazon Web Services, Inc., and Qualcomm Incorporated are some of the key innovators in Visual Intelligence Market.

COVID-19 Impact Analysis

The COVID-19 outbreak acted as a catalyst for the visual intelligence market, driving accelerated adoption across industries. In the short term, businesses grappled with pandemic-induced disruption and rapidly pivoted to cloud-based visual analytics and computer-vision platforms to make sense of fast-changing consumer behavior, supply chain pressures, and remote work challenges. Healthcare, especially diagnostic imaging, saw AI-powered tools-like CT-scan analysis systems for COVID pneumonia-deployed at scale, augmenting overburdened radiologists and enabling remote patient triage. Thus, the COVID-19 had positive impact on the visual intelligence market.

Market Growth Factors

The rapid expansion of edge computing and the Internet of Things (IoT) has significantly influenced the growth of the visual intelligence market. Edge computing allows data processing to occur closer to the data source, reducing latency and bandwidth usage. This is particularly beneficial for visual intelligence applications that require real-time data analysis, such as surveillance systems, autonomous vehicles, and industrial automation. As these technologies continue to evolve, their combined impact is expected to drive significant growth in the visual intelligence market.

Additionally, The evolution of deep learning and computer vision algorithms has been a cornerstone in the development of visual intelligence technologies. These advancements have enhanced the ability of machines to interpret and analyze visual data with a level of accuracy and efficiency that was previously unattainable. Deep learning models, particularly convolutional neural networks (CNNs), have revolutionized image and video analysis by enabling automated feature extraction and pattern recognition. This has led to significant improvements in applications such as facial recognition, object detection, and scene understanding. As these algorithms become more robust and accessible, they will further accelerate the adoption of visual intelligence solutions.

Market Restraining Factors

However, The integration of visual intelligence technologies, such as facial recognition and biometric analysis, has raised significant concerns regarding data privacy and regulatory compliance. As these systems often process sensitive personal information, they are subject to stringent data protection laws like the European Union's General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) in the United States. These regulations mandate strict guidelines on data collection, storage, and usage, requiring organizations to implement robust data governance frameworks. In conclusion, while visual intelligence offers powerful capabilities, its adoption hinges on navigating complex privacy regulations, ensuring ethical use, and maintaining public trust.

Value Chain Analysis

The value chain of the Visual Intelligence Market begins with Research & Development (R&D), driving innovation and foundational progress. This is supported by Technology and Infrastructure Providers, enabling scalability and efficiency. Data Collection & Labelling feeds quality inputs for Model Training & Optimization, where intelligent models are refined. These models are integrated into real-world solutions through Product Development & Integration, followed by Marketing & Sales efforts to promote adoption. Distribution & Deployment ensures reach across markets, while End Use & Feedback Loop provides critical insights, which cycle back to inform R&D and infrastructure development, completing a dynamic, iterative innovation loop.

Market Share Analysis

Technology Outlook

Based on the Technology, the Global Visual Intelligence market is segmented into Computer Vision, Deep Learning, Machine Learning, and Image Processing. The Deep Learning segment garnered the 29% revenue share in the market in 2024. Deep learning is a transformative segment of the global visual intelligence market, enabling systems to process and interpret complex patterns in visual data with a high degree of accuracy. Built on artificial neural networks, deep learning models mimic human cognitive processes-learning from massive datasets to detect intricate features, make predictions, and continuously improve performance.

End-use Outlook

Based on the End-use, the Global Visual Intelligence market is segmented into Retail & E-commerce, Manufacturing, Healthcare, Defense & Security, Automotive, and Other End-use. The Manufacturing segment acquired the 22% revenue share in the market in 2024. The Manufacturing segment stands as a pivotal contributor to the global visual intelligence market, driven by the escalating demand for automation, quality assurance, and predictive maintenance across industrial sectors. As global manufacturers navigate increasing complexity, supply chain volatility, and labor constraints, visual intelligence technologies have emerged as a core solution to enhance operational efficiency and maintain high production standards.

Application Outlook

Based on the Application, the Global Visual Intelligence market is segmented into Surveillance & Security, Quality Inspection & Automation, Facial Recognition, Image & Video Analytics, Predictive Maintenance, Traffic Monitoring, and Retail Analytics. The Quality Inspection & Automation segment recorded the 22% revenue share in the market in 2024. The Quality Inspection & Automation segment is a vital pillar of the global visual intelligence market, playing a transformative role in enhancing product reliability, operational efficiency, and manufacturing precision. As industries increasingly automate production lines to meet global demand and reduce human error, visual intelligence technologies-particularly computer vision, deep learning, and image processing-are being widely deployed to perform fast, accurate, and scalable quality checks.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America Segment attained the 37% revenue share in the market in 2024. This growth was driven by the region's strong technological infrastructure, high adoption of advanced analytics solutions, and supportive regulatory frameworks that encouraged innovation while enforcing data protection. The presence of key market players and increased investment in AI and machine learning technologies further contributed to North America's dominant position in the global market.

Market Competition and Attributes

The Visual Intelligence Market is highly competitive, driven by startups and regional firms focusing on AI-powered image and video analytics. Innovation, affordability, and niche applications in retail, healthcare, and security fuel competition. These players leverage agile development and industry-specific customization to capture market segments, creating a dynamic environment despite limited global reach and brand influence.

Recent Strategies Deployed in the Market

• Mar-2025: NVIDIA Corporation unveiled Cosmos World Foundation Models, enabling customizable physical AI reasoning and large-scale synthetic data generation for robotics and autonomous vehicles. Early adopters include Agility Robotics and Uber. The platform supports enhanced AI training through photorealistic simulations, multimodal reasoning, and real-time world generation, accelerating physical AI development.
• Feb-2025: Qualcomm Incorporated teamed up with DevisionX, a software company to advance AI computer vision solutions, integrating DevisionX's Tuba.AI platform with Qualcomm AI Hub for seamless model deployment on Snapdragon devices. This collaboration enhances performance, reduces latency, and simplifies AI vision workflows, enabling businesses to optimize operations and scale AI vision technologies efficiently.
• Jan-2025: Qualcomm Incorporated unveiled its AI On-Prem Appliance Solution and AI Inference Suite, enabling enterprises to run generative AI and computer vision workloads locally. These tools offer cost-effective, secure AI deployment with support from industry leaders like Honeywell, Aetina, and IBM for diverse enterprise and industrial applications.
• Oct-2024: Qualcomm Incorporated teamed up with Mistral AI, an AI company to bring Mistral's advanced generative AI models, Ministral 3B and 8B, to Snapdragon-powered edge devices like smartphones, vehicles, and PCs. This collaboration aims to enable faster, private, and energy-efficient on-device AI, enhancing user experiences with AI assistants and more.
• Apr-2024: Cognex Corporation unveiled the In-Sight L38, the world's first AI-powered 3D vision system. It combines 2D, 3D, and AI technologies for fast, reliable manufacturing inspections. The system simplifies setup, offers high-resolution imaging with patented laser optics, and enhances quality and performance in factory automation.

List of Key Companies Profiled

• NVIDIA Corporation
• IBM Corporation
• Microsoft Corporation
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• Google LLC (Alphabet Inc.)
• Omron Corporation
• Cognex Corporation
• Meta Platforms, Inc.
• Qualcomm Incorporated (Qualcomm Technologies, Inc.)
• Intel Corporation

Global Visual Intelligence Market Report Segmentation

By Technology

• Computer Vision
• Deep Learning
• Machine Learning
• Image Processing

By End-use

• Retail & E-commerce
• Manufacturing
• Healthcare
• Defense & Security
• Automotive
• Other End-use

By Application

• Surveillance & Security
• Quality Inspection & Automation
• Facial Recognition
• Image & Video Analytics
• Predictive Maintenance
• Traffic Monitoring
• Retail Analytics

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
• Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global Visual Intelligence Market, by Technology
  • 1.4.2 Global Visual Intelligence Market, by End-use
  • 1.4.3 Global Visual Intelligence Market, by Application
  • 1.4.4 Global Visual Intelligence Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
• 4.3 Market Share Analysis, 2024
• 4.4 Top Winning Strategies
  • 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
  • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2023, Apr - 2025, May) Leading Players
• 4.5 Porter Five Forces Analysis

Chapter 5. Value Chain Analysis of Visual Intelligence Market

• 5.1 Research & Development (R&D)
• 5.2 Technology and Infrastructure Providers
• 5.3 Data Collection & Labelling
• 5.4 Model Training & Optimization
• 5.5 Product Development & Integration
• 5.6 Marketing & Sales
• 5.7 Distribution & Deployment
• 5.8 End Use & Feedback Loop

Chapter 6. Key Customer Criteria: Visual Intelligence Market

Chapter 7. Global Visual Intelligence Market by Technology

• 7.1 Global Computer Vision Market by Region
• 7.2 Global Deep Learning Market by Region
• 7.3 Global Machine Learning Market by Region
• 7.4 Global Image Processing Market by Region

Chapter 8. Global Visual Intelligence Market by End-use

• 8.1 Global Retail & E-commerce Market by Region
• 8.2 Global Manufacturing Market by Region
• 8.3 Global Healthcare Market by Region
• 8.4 Global Defense & Security Market by Region
• 8.5 Global Automotive Market by Region
• 8.6 Global Other End-use Market by Region

Chapter 9. Global Visual Intelligence Market by Application

• 9.1 Global Surveillance & Security Market by Region
• 9.2 Global Quality Inspection & Automation Market by Region
• 9.3 Global Facial Recognition Market by Region
• 9.4 Global Image & Video Analytics Market by Region
• 9.5 Global Predictive Maintenance Market by Region
• 9.6 Global Traffic Monitoring Market by Region
• 9.7 Global Retail Analytics Market by Region

Chapter 10. Global Visual Intelligence Market by Region

• 10.1 North America Visual Intelligence Market
  • 10.1.1 North America Visual Intelligence Market by Technology
    • 10.1.1.1 North America Computer Vision Market by Country
    • 10.1.1.2 North America Deep Learning Market by Country
    • 10.1.1.3 North America Machine Learning Market by Country
    • 10.1.1.4 North America Image Processing Market by Country
  • 10.1.2 North America Visual Intelligence Market by End-use
    • 10.1.2.1 North America Retail & E-commerce Market by Country
    • 10.1.2.2 North America Manufacturing Market by Country
    • 10.1.2.3 North America Healthcare Market by Country
    • 10.1.2.4 North America Defense & Security Market by Country
    • 10.1.2.5 North America Automotive Market by Country
    • 10.1.2.6 North America Other End-use Market by Country
  • 10.1.3 North America Visual Intelligence Market by Application
    • 10.1.3.1 North America Surveillance & Security Market by Country
    • 10.1.3.2 North America Quality Inspection & Automation Market by Country
    • 10.1.3.3 North America Facial Recognition Market by Country
    • 10.1.3.4 North America Image & Video Analytics Market by Country
    • 10.1.3.5 North America Predictive Maintenance Market by Country
    • 10.1.3.6 North America Traffic Monitoring Market by Country
    • 10.1.3.7 North America Retail Analytics Market by Country
  • 10.1.4 North America Visual Intelligence Market by Country
    • 10.1.4.1 US Visual Intelligence Market
      • 10.1.4.1.1 US Visual Intelligence Market by Technology
      • 10.1.4.1.2 US Visual Intelligence Market by End-use
      • 10.1.4.1.3 US Visual Intelligence Market by Application
    • 10.1.4.2 Canada Visual Intelligence Market
      • 10.1.4.2.1 Canada Visual Intelligence Market by Technology
      • 10.1.4.2.2 Canada Visual Intelligence Market by End-use
      • 10.1.4.2.3 Canada Visual Intelligence Market by Application
    • 10.1.4.3 Mexico Visual Intelligence Market
      • 10.1.4.3.1 Mexico Visual Intelligence Market by Technology
      • 10.1.4.3.2 Mexico Visual Intelligence Market by End-use
      • 10.1.4.3.3 Mexico Visual Intelligence Market by Application
    • 10.1.4.4 Rest of North America Visual Intelligence Market
      • 10.1.4.4.1 Rest of North America Visual Intelligence Market by Technology
      • 10.1.4.4.2 Rest of North America Visual Intelligence Market by End-use
      • 10.1.4.4.3 Rest of North America Visual Intelligence Market by Application
• 10.2 Europe Visual Intelligence Market
  • 10.2.1 Europe Visual Intelligence Market by Technology
    • 10.2.1.1 Europe Computer Vision Market by Country
    • 10.2.1.2 Europe Deep Learning Market by Country
    • 10.2.1.3 Europe Machine Learning Market by Country
    • 10.2.1.4 Europe Image Processing Market by Country
  • 10.2.2 Europe Visual Intelligence Market by End-use
    • 10.2.2.1 Europe Retail & E-commerce Market by Country
    • 10.2.2.2 Europe Manufacturing Market by Country
    • 10.2.2.3 Europe Healthcare Market by Country
    • 10.2.2.4 Europe Defense & Security Market by Country
    • 10.2.2.5 Europe Automotive Market by Country
    • 10.2.2.6 Europe Other End-use Market by Country
  • 10.2.3 Europe Visual Intelligence Market by Application
    • 10.2.3.1 Europe Surveillance & Security Market by Country
    • 10.2.3.2 Europe Quality Inspection & Automation Market by Country
    • 10.2.3.3 Europe Facial Recognition Market by Country
    • 10.2.3.4 Europe Image & Video Analytics Market by Country
    • 10.2.3.5 Europe Predictive Maintenance Market by Country
    • 10.2.3.6 Europe Traffic Monitoring Market by Country
    • 10.2.3.7 Europe Retail Analytics Market by Country
  • 10.2.4 Europe Visual Intelligence Market by Country
    • 10.2.4.1 Germany Visual Intelligence Market
      • 10.2.4.1.1 Germany Visual Intelligence Market by Technology
      • 10.2.4.1.2 Germany Visual Intelligence Market by End-use
      • 10.2.4.1.3 Germany Visual Intelligence Market by Application
    • 10.2.4.2 UK Visual Intelligence Market
      • 10.2.4.2.1 UK Visual Intelligence Market by Technology
      • 10.2.4.2.2 UK Visual Intelligence Market by End-use
      • 10.2.4.2.3 UK Visual Intelligence Market by Application
    • 10.2.4.3 France Visual Intelligence Market
      • 10.2.4.3.1 France Visual Intelligence Market by Technology
      • 10.2.4.3.2 France Visual Intelligence Market by End-use
      • 10.2.4.3.3 France Visual Intelligence Market by Application
    • 10.2.4.4 Russia Visual Intelligence Market
      • 10.2.4.4.1 Russia Visual Intelligence Market by Technology
      • 10.2.4.4.2 Russia Visual Intelligence Market by End-use
      • 10.2.4.4.3 Russia Visual Intelligence Market by Application
    • 10.2.4.5 Spain Visual Intelligence Market
      • 10.2.4.5.1 Spain Visual Intelligence Market by Technology
      • 10.2.4.5.2 Spain Visual Intelligence Market by End-use
      • 10.2.4.5.3 Spain Visual Intelligence Market by Application
    • 10.2.4.6 Italy Visual Intelligence Market
      • 10.2.4.6.1 Italy Visual Intelligence Market by Technology
      • 10.2.4.6.2 Italy Visual Intelligence Market by End-use
      • 10.2.4.6.3 Italy Visual Intelligence Market by Application
    • 10.2.4.7 Rest of Europe Visual Intelligence Market
      • 10.2.4.7.1 Rest of Europe Visual Intelligence Market by Technology
      • 10.2.4.7.2 Rest of Europe Visual Intelligence Market by End-use
      • 10.2.4.7.3 Rest of Europe Visual Intelligence Market by Application
• 10.3 Asia Pacific Visual Intelligence Market
  • 10.3.1 Asia Pacific Visual Intelligence Market by Technology
    • 10.3.1.1 Asia Pacific Computer Vision Market by Country
    • 10.3.1.2 Asia Pacific Deep Learning Market by Country
    • 10.3.1.3 Asia Pacific Machine Learning Market by Country
    • 10.3.1.4 Asia Pacific Image Processing Market by Country
  • 10.3.2 Asia Pacific Visual Intelligence Market by End-use
    • 10.3.2.1 Asia Pacific Retail & E-commerce Market by Country
    • 10.3.2.2 Asia Pacific Manufacturing Market by Country
    • 10.3.2.3 Asia Pacific Healthcare Market by Country
    • 10.3.2.4 Asia Pacific Defense & Security Market by Country
    • 10.3.2.5 Asia Pacific Automotive Market by Country
    • 10.3.2.6 Asia Pacific Other End-use Market by Country
  • 10.3.3 Asia Pacific Visual Intelligence Market by Application
    • 10.3.3.1 Asia Pacific Surveillance & Security Market by Country
    • 10.3.3.2 Asia Pacific Quality Inspection & Automation Market by Country
    • 10.3.3.3 Asia Pacific Facial Recognition Market by Country
    • 10.3.3.4 Asia Pacific Image & Video Analytics Market by Country
    • 10.3.3.5 Asia Pacific Predictive Maintenance Market by Country
    • 10.3.3.6 Asia Pacific Traffic Monitoring Market by Country
    • 10.3.3.7 Asia Pacific Retail Analytics Market by Country
  • 10.3.4 Asia Pacific Visual Intelligence Market by Country
    • 10.3.4.1 China Visual Intelligence Market
      • 10.3.4.1.1 China Visual Intelligence Market by Technology
      • 10.3.4.1.2 China Visual Intelligence Market by End-use
      • 10.3.4.1.3 China Visual Intelligence Market by Application
    • 10.3.4.2 Japan Visual Intelligence Market
      • 10.3.4.2.1 Japan Visual Intelligence Market by Technology
      • 10.3.4.2.2 Japan Visual Intelligence Market by End-use
      • 10.3.4.2.3 Japan Visual Intelligence Market by Application
    • 10.3.4.3 India Visual Intelligence Market
      • 10.3.4.3.1 India Visual Intelligence Market by Technology
      • 10.3.4.3.2 India Visual Intelligence Market by End-use
      • 10.3.4.3.3 India Visual Intelligence Market by Application
    • 10.3.4.4 South Korea Visual Intelligence Market
      • 10.3.4.4.1 South Korea Visual Intelligence Market by Technology
      • 10.3.4.4.2 South Korea Visual Intelligence Market by End-use
      • 10.3.4.4.3 South Korea Visual Intelligence Market by Application
    • 10.3.4.5 Singapore Visual Intelligence Market
      • 10.3.4.5.1 Singapore Visual Intelligence Market by Technology
      • 10.3.4.5.2 Singapore Visual Intelligence Market by End-use
      • 10.3.4.5.3 Singapore Visual Intelligence Market by Application
    • 10.3.4.6 Malaysia Visual Intelligence Market
      • 10.3.4.6.1 Malaysia Visual Intelligence Market by Technology
      • 10.3.4.6.2 Malaysia Visual Intelligence Market by End-use
      • 10.3.4.6.3 Malaysia Visual Intelligence Market by Application
    • 10.3.4.7 Rest of Asia Pacific Visual Intelligence Market
      • 10.3.4.7.1 Rest of Asia Pacific Visual Intelligence Market by Technology
      • 10.3.4.7.2 Rest of Asia Pacific Visual Intelligence Market by End-use
      • 10.3.4.7.3 Rest of Asia Pacific Visual Intelligence Market by Application
• 10.4 LAMEA Visual Intelligence Market
  • 10.4.1 LAMEA Visual Intelligence Market by Technology
    • 10.4.1.1 LAMEA Computer Vision Market by Country
    • 10.4.1.2 LAMEA Deep Learning Market by Country
    • 10.4.1.3 LAMEA Machine Learning Market by Country
    • 10.4.1.4 LAMEA Image Processing Market by Country
  • 10.4.2 LAMEA Visual Intelligence Market by End-use
    • 10.4.2.1 LAMEA Retail & E-commerce Market by Country
    • 10.4.2.2 LAMEA Manufacturing Market by Country
    • 10.4.2.3 LAMEA Healthcare Market by Country
    • 10.4.2.4 LAMEA Defense & Security Market by Country
    • 10.4.2.5 LAMEA Automotive Market by Country
    • 10.4.2.6 LAMEA Other End-use Market by Country
  • 10.4.3 LAMEA Visual Intelligence Market by Application
    • 10.4.3.1 LAMEA Surveillance & Security Market by Country
    • 10.4.3.2 LAMEA Quality Inspection & Automation Market by Country
    • 10.4.3.3 LAMEA Facial Recognition Market by Country
    • 10.4.3.4 LAMEA Image & Video Analytics Market by Country
    • 10.4.3.5 LAMEA Predictive Maintenance Market by Country
    • 10.4.3.6 LAMEA Traffic Monitoring Market by Country
    • 10.4.3.7 LAMEA Retail Analytics Market by Country
  • 10.4.4 LAMEA Visual Intelligence Market by Country
    • 10.4.4.1 Brazil Visual Intelligence Market
      • 10.4.4.1.1 Brazil Visual Intelligence Market by Technology
      • 10.4.4.1.2 Brazil Visual Intelligence Market by End-use
      • 10.4.4.1.3 Brazil Visual Intelligence Market by Application
    • 10.4.4.2 Argentina Visual Intelligence Market
      • 10.4.4.2.1 Argentina Visual Intelligence Market by Technology
      • 10.4.4.2.2 Argentina Visual Intelligence Market by End-use
      • 10.4.4.2.3 Argentina Visual Intelligence Market by Application
    • 10.4.4.3 UAE Visual Intelligence Market
      • 10.4.4.3.1 UAE Visual Intelligence Market by Technology
      • 10.4.4.3.2 UAE Visual Intelligence Market by End-use
      • 10.4.4.3.3 UAE Visual Intelligence Market by Application
    • 10.4.4.4 Saudi Arabia Visual Intelligence Market
      • 10.4.4.4.1 Saudi Arabia Visual Intelligence Market by Technology
      • 10.4.4.4.2 Saudi Arabia Visual Intelligence Market by End-use
      • 10.4.4.4.3 Saudi Arabia Visual Intelligence Market by Application
    • 10.4.4.5 South Africa Visual Intelligence Market
      • 10.4.4.5.1 South Africa Visual Intelligence Market by Technology
      • 10.4.4.5.2 South Africa Visual Intelligence Market by End-use
      • 10.4.4.5.3 South Africa Visual Intelligence Market by Application
    • 10.4.4.6 Nigeria Visual Intelligence Market
      • 10.4.4.6.1 Nigeria Visual Intelligence Market by Technology
      • 10.4.4.6.2 Nigeria Visual Intelligence Market by End-use
      • 10.4.4.6.3 Nigeria Visual Intelligence Market by Application
    • 10.4.4.7 Rest of LAMEA Visual Intelligence Market
      • 10.4.4.7.1 Rest of LAMEA Visual Intelligence Market by Technology
      • 10.4.4.7.2 Rest of LAMEA Visual Intelligence Market by End-use
      • 10.4.4.7.3 Rest of LAMEA Visual Intelligence Market by Application

Chapter 11. Company Profiles

• 11.1 NVIDIA Corporation
  • 11.1.1 Company Overview
  • 11.1.2 Financial Analysis
  • 11.1.3 Segmental and Regional Analysis
  • 11.1.4 Research & Development Expenses
  • 11.1.5 Recent strategies and developments:
    • 11.1.5.1 Partnerships, Collaborations, and Agreements:
    • 11.1.5.2 Product Launches and Product Expansions:
  • 11.1.6 SWOT Analysis
• 11.2 IBM Corporation
  • 11.2.1 Company Overview
  • 11.2.2 Financial Analysis
  • 11.2.3 Regional & Segmental Analysis
  • 11.2.4 Research & Development Expenses
  • 11.2.5 SWOT Analysis
• 11.3 Microsoft Corporation
  • 11.3.1 Company Overview
  • 11.3.2 Financial Analysis
  • 11.3.3 Segmental and Regional Analysis
  • 11.3.4 Research & Development Expenses
  • 11.3.5 Recent strategies and developments:
    • 11.3.5.1 Partnerships, Collaborations, and Agreements:
  • 11.3.6 SWOT Analysis
• 11.4 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 11.4.1 Company Overview
  • 11.4.2 Financial Analysis
  • 11.4.3 Segmental and Regional Analysis
  • 11.4.4 SWOT Analysis
• 11.5 Google LLC (Alphabet Inc.)
  • 11.5.1 Company Overview
  • 11.5.2 Financial Analysis
  • 11.5.3 Segmental and Regional Analysis
  • 11.5.4 Research & Development Expenses
  • 11.5.5 SWOT Analysis
• 11.6 Omron Corporation
  • 11.6.1 Company Overview
  • 11.6.2 Financial Analysis
  • 11.6.3 Segmental and Regional Analysis
  • 11.6.4 Research & Development Expenses
  • 11.6.5 Recent strategies and developments:
    • 11.6.5.1 Product Launches and Product Expansions:
  • 11.6.6 SWOT Analysis
• 11.7 Cognex Corporation
  • 11.7.1 Company Overview
  • 11.7.2 Financial Analysis
  • 11.7.3 Regional Analysis
  • 11.7.4 Research & Development Expenses
  • 11.7.5 Recent strategies and developments:
    • 11.7.5.1 Partnerships, Collaborations, and Agreements:
    • 11.7.5.2 Product Launches and Product Expansions:
    • 11.7.5.3 Acquisition and Mergers:
  • 11.7.6 SWOT Analysis
• 11.8 Meta Platforms, Inc.
  • 11.8.1 Company Overview
  • 11.8.2 Financial Analysis
  • 11.8.3 Segment and Regional Analysis
  • 11.8.4 Research & Development Expense
  • 11.8.5 SWOT Analysis
• 11.9 Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • 11.9.1 Company Overview
  • 11.9.2 Financial Analysis
  • 11.9.3 Segmental and Regional Analysis
  • 11.9.4 Research & Development Expense
  • 11.9.5 Recent strategies and developments:
    • 11.9.5.1 Partnerships, Collaborations, and Agreements:
    • 11.9.5.2 Product Launches and Product Expansions:
  • 11.9.6 SWOT Analysis
• 11.10. Intel Corporation
  • 11.10.1 Company Overview
  • 11.10.2 Financial Analysis
  • 11.10.3 Segmental and Regional Analysis
  • 11.10.4 Research & Development Expenses
  • 11.10.5 SWOT Analysis

Chapter 12. Winning Imperatives of Visual Intelligence Market