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LAMEA Visual Intelligence Market Size, Share & Industry Analysis Report By Technology, By End-use, By Application, By Country and Growth Forecast, 2025 - 2032

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    Report

  • 196 Pages
  • June 2025
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6107855
The Latin America, Middle East and Africa Visual Intelligence Market is expected to witness market growth of 20.6% CAGR during the forecast period (2025-2032).

The Brazil market dominated the LAMEA Visual Intelligence Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $1.18 billion by 2032. The Argentina market is showcasing a CAGR of 21.2% during 2025-2032. Additionally, the UAE market would register a CAGR of 19.4% during 2025-2032.



A third prominent trend is the rapid adoption of AI-powered surveillance and security systems across public and private sectors. Governments are deploying visual intelligence platforms for border security, crowd management, and urban surveillance to identify threats in real time. In the private sector, businesses use intelligent video analytics for intrusion detection, access control, and asset protection. Modern visual intelligence systems utilize edge computing and cloud-based analytics, allowing instant alerts and predictive insights without compromising bandwidth or privacy.

For instance, smart surveillance platforms can now recognize behavioral anomalies, such as loitering or erratic movements, and trigger automated responses. This trend reflects growing demand for proactive, data-driven security frameworks driven by rising crime rates and regulatory mandates. Leading players in the visual intelligence market are pursuing a multifaceted strategy to stay competitive in an environment defined by rapid technological innovation and evolving customer needs. One of the most prevalent strategies is sustained investment in research and development.

The LAMEA (Latin America, Middle East, and Africa) Visual Intelligence Market has experienced significant growth over the past decade, driven by technological advancements, increased digitalization, and the need for data-driven decision-making across various sectors. Initially, the adoption of visual intelligence technologies in the LAMEA region was limited due to infrastructural challenges and lack of awareness. However, with the proliferation of smartphones, improved internet connectivity, and government initiatives promoting digital transformation, the landscape began to change.

In Latin America, countries like Brazil and Argentina have been at the forefront of adopting visual intelligence solutions, particularly in sectors such as retail, healthcare, and finance. The Brazilian government's investment in smart city projects and public safety has further propelled the demand for visual analytics and surveillance systems. Similarly, Argentina's focus on enhancing its digital economy has led to increased adoption of visual intelligence tools in various industries. The Middle East, particularly the United Arab Emirates and Saudi Arabia, has witnessed rapid adoption of visual intelligence technologies. These countries have launched ambitious initiatives like UAE Vision 2021 and Saudi Vision 2030, aiming to diversify their economies and reduce dependence on oil.

As part of these visions, significant investments have been made in AI, IoT, and smart city projects, leading to increased demand for visual intelligence solutions in areas such as traffic management, security, and retail analytics. The LAMEA Visual Intelligence Market is characterized by several key trends that are shaping its growth and development. One prominent trend is the increasing adoption of cloud-based visual analytics solutions. Organizations across the LAMEA region are recognizing the benefits of cloud computing, such as scalability, cost-effectiveness, and ease of deployment. This shift is enabling businesses to access advanced analytics capabilities without significant upfront investments in infrastructure.

Cloud-based solutions also facilitate real-time data processing and collaboration, which are critical for sectors like retail, healthcare, and logistics. Another significant trend is the integration of artificial intelligence (AI) and machine learning (ML) into visual intelligence platforms. These technologies enhance the ability to analyze large volumes of visual data, identify patterns, and generate actionable insights. In industries such as manufacturing and agriculture, AI-powered visual analytics are being used for quality control, predictive maintenance, and crop monitoring. The incorporation of AI and ML is also improving the accuracy and efficiency of surveillance systems and facial recognition technologies. Brazil's visual intelligence market is experiencing significant growth, driven by robust government initiatives, strategic investments, and the integration of advanced technologies across various sectors.

The Brazilian Artificial Intelligence Plan (PBIA) 2024-2028, launched by the federal government, outlines a comprehensive strategy to position Brazil as a global leader in AI. This plan emphasizes sustainable and socially-oriented technologies, with a focus on sectors such as healthcare, agriculture, and public safety. A key component of the PBIA is the allocation of approximately R$23 billion (USD 4.07 billion) over four years to bolster AI infrastructure, support business innovation, and enhance public services . This investment aims to develop high-performance computing resources, including the Santos Dumont supercomputer, and to foster the creation of Portuguese-language AI models .

Additionally, the plan includes initiatives to train professionals in AI, with an emphasis on inclusivity and the integration of historically marginalized groups. Saudi Arabia is rapidly emerging as a significant player in the visual intelligence sector, aligning with its ambitious Vision 2030 initiative aimed at diversifying the economy and reducing dependence on oil revenues. The government's strategic investments in artificial intelligence (AI) and related technologies are transforming various sectors, including healthcare, transportation, security, and urban development. SDAIA's initiatives focus on developing data-driven solutions, fostering innovation, and creating a robust digital infrastructure to support AI applications, including visual intelligence technologies. Overall, the competitive environment in the LAMEA Visual Intelligence Market is fostering innovation and driving companies to continuously improve their offerings.

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

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 Country

  • 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 LAMEA Visual Intelligence Market, by Technology
1.4.2 LAMEA Visual Intelligence Market, by End-use
1.4.3 LAMEA Visual Intelligence Market, by Application
1.4.4 LAMEA Visual Intelligence Market, by Country
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 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. LAMEA Visual Intelligence Market by Technology
7.1 LAMEA Computer Vision Market by Country
7.2 LAMEA Deep Learning Market by Country
7.3 LAMEA Machine Learning Market by Country
7.4 LAMEA Image Processing Market by Country
Chapter 8. LAMEA Visual Intelligence Market by End-use
8.1 LAMEA Retail & E-commerce Market by Country
8.2 LAMEA Manufacturing Market by Country
8.3 LAMEA Healthcare Market by Country
8.4 LAMEA Defense & Security Market by Country
8.5 LAMEA Automotive Market by Country
8.6 LAMEA Other End-use Market by Country
Chapter 9. LAMEA Visual Intelligence Market by Application
9.1 LAMEA Surveillance & Security Market by Country
9.2 LAMEA Quality Inspection & Automation Market by Country
9.3 LAMEA Facial Recognition Market by Country
9.4 LAMEA Image & Video Analytics Market by Country
9.5 LAMEA Predictive Maintenance Market by Country
9.6 LAMEA Traffic Monitoring Market by Country
9.7 LAMEA Retail Analytics Market by Country
Chapter 10. LAMEA Visual Intelligence Market by Country
10.1 Brazil Visual Intelligence Market
10.1.1 Brazil Visual Intelligence Market by Technology
10.1.2 Brazil Visual Intelligence Market by End-use
10.1.3 Brazil Visual Intelligence Market by Application
10.2 Argentina Visual Intelligence Market
10.2.1 Argentina Visual Intelligence Market by Technology
10.2.2 Argentina Visual Intelligence Market by End-use
10.2.3 Argentina Visual Intelligence Market by Application
10.3 UAE Visual Intelligence Market
10.3.1 UAE Visual Intelligence Market by Technology
10.3.2 UAE Visual Intelligence Market by End-use
10.3.3 UAE Visual Intelligence Market by Application
10.4 Saudi Arabia Visual Intelligence Market
10.4.1 Saudi Arabia Visual Intelligence Market by Technology
10.4.2 Saudi Arabia Visual Intelligence Market by End-use
10.4.3 Saudi Arabia Visual Intelligence Market by Application
10.5 South Africa Visual Intelligence Market
10.5.1 South Africa Visual Intelligence Market by Technology
10.5.2 South Africa Visual Intelligence Market by End-use
10.5.3 South Africa Visual Intelligence Market by Application
10.6 Nigeria Visual Intelligence Market
10.6.1 Nigeria Visual Intelligence Market by Technology
10.6.2 Nigeria Visual Intelligence Market by End-use
10.6.3 Nigeria Visual Intelligence Market by Application
10.7 Rest of LAMEA Visual Intelligence Market
10.7.1 Rest of LAMEA Visual Intelligence Market by Technology
10.7.2 Rest of LAMEA Visual Intelligence Market by End-use
10.7.3 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

Companies Mentioned

  • 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