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LAMEA AI In Drone Market Size, Share & Industry Analysis Report by Type, Component, End Use, Application, Country and Growth Forecast, 2025-2032

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    Report

  • 197 Pages
  • September 2025
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6168123
The Latin America, Middle East and Africa AI In Drone Market is expected to witness market growth of 19.4% CAGR during the forecast period (2025-2032).

The Brazil market dominated the LAMEA AI In Drone Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of USD 662.1 million by 2032. The Argentina market is showcasing a CAGR of 21% during 2025-2032. Additionally, the UAE market would register a CAGR of 18.5% during 2025-2032. The Brazil and UAE led the LAMEA AI In Drone Market by Country with a market share of 21.2% and 17.9% in 2024.



Adding AI to drone technology has changed the LAMEA region in a big way. Drones can now do more than just basic military surveillance; they can also do very complex missions and analyze data in real time. Countries in the Middle East, like the UAE and Saudi Arabia, use AI-enabled drones for defense, border control, and infrastructure monitoring. Countries in Africa, like South Africa and Kenya, use them for agriculture, conservation, and disaster relief. Brazil, Mexico, and Argentina are the leaders in Latin America when it comes to using drones for precision farming, logistics, and mining. This change shows that governments, businesses, and research institutions are working together more and more, which is leading to new ideas through machine vision, predictive analytics, and automation. These improvements show how AI-powered drones are solving problems in different areas and becoming important tools for growth.

One of the most important trends in the LAMEA market is the move toward autonomous operations powered by AI and edge computing. This makes things more efficient even in areas with poor connectivity. Integration with Geographic Information Systems (GIS) is also growing, which makes it possible to use them in disaster management, agriculture, and city planning. Governments in the area are making new rules to find a balance between safety and innovation while also supporting domestic research and development and pilot programs. Market leaders are using strategies like working with local institutions, putting a lot of money into AI and sensor technology, and offering drone-as-a-service business models that make things easier for everyone to use. Competition is always changing. Global companies like DJI and AeroVironment bring cutting-edge systems, while local innovators come up with solutions that work for their own problems. The LAMEA region's AI drone market is changing quickly and is very competitive because of this combination of global knowledge and local flexibility.

Component Outlook

Based on Component, the market is segmented into Hardware, Software, and Services. The Hardware market segment dominated the Brazil AI In Drone Market by Component is expected to grow at a CAGR of 16.9% during the forecast period thereby continuing its dominance until 2032. Also, The Services market is anticipated to grow as a CAGR of 18.8% during the forecast period during 2025-2032.



Application Outlook

Based on Application, the market is segmented into Security & Surveillance, Agriculture, Construction, Search & Rescue, Retail, and Other Application. With a compound annual growth rate (CAGR) of 19.6% over the projection period, the Security & Surveillance Market, dominate the South Africa AI In Drone Market by Application in 2024 and would be a prominent market until 2032. The Retail market is expected to witness a CAGR of 21.9% during 2025-2032.

Country Outlook

Brazil is a major player in the LAMEA AI drone market because it has a large agricultural sector, is becoming more urbanized, and the government supports digital transformation. AI drones are used a lot on big farms to keep an eye on crops, find pests, manage irrigation, and predict yields. In cities, they are used for surveillance, traffic control, and checking on infrastructure. Another big use is environmental monitoring, especially in the Amazon, where it helps keep track of deforestation and biodiversity. Trends highlight precision agriculture, cloud integration, and remote operations for managing large regions. Global OEMs are working with local companies, and regional startups are offering low-cost, agriculture-focused solutions. Working together with the government, universities, and private companies helps to create new drone hardware, AI algorithms, and analytics platforms. This makes Brazil a rapidly growing center for the use of AI-enabled drones.

List of Key Companies Profiled

  • SZ DJI Technology Co., Ltd.
  • DroneDeploy, Inc.
  • AeroVironment, Inc.
  • Skydio, Inc.
  • Intel Corporation
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Skycatch, Inc.
  • Parrot Drones SAS
  • DELAIR SAS
  • Northrop Grumman Corporation

Market Report Segmentation

By Type

  • Station Based
  • Cloud Based

By Component

  • Hardware
  • Software
  • Services

By End Use

  • Military
  • Commercial
  • Government

By Application

  • Security & Surveillance
  • Agriculture
  • Construction
  • Search & Rescue
  • Retail
  • Other Application

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 AI In Drone Market, by Type
1.4.2 LAMEA AI In Drone Market, by Component
1.4.3 LAMEA AI In Drone Market, by End Use
1.4.4 LAMEA AI In Drone Market, by Application
1.4.5 LAMEA AI In Drone 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
3.1.1.1 Market Composition and Scenario
3.2 Key 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. Market Trends - LAMEA AI In Drone MarketChapter 5. State of Competition - LAMEA AI In Drone Market
Chapter 6. Competition Analysis - Global
6.1 The Cardinal Matrix
6.2 Recent Industry Wide Strategic Developments
6.2.1 Partnerships, Collaborations and Agreements
6.2.2 Product Launches and Product Expansions
6.2.3 Acquisition and Mergers
6.3 Market Share Analysis, 2024
6.4 Top Winning Strategies
6.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
6.4.2 Key Strategic Move: (Product Launches and Product Expansions : 2021, Jun - 2025, Jun) Leading Players
6.5 Porter Five Forces Analysis
Chapter 7. Value Chain Analysis of AI In Drone MarketChapter 8. Product Life Cycle (PLC) - AI In Drone MarketChapter 9. Market Consolidation - AI In Drone MarketChapter 10. Key Customer Criteria - AI In Drone Market
Chapter 11. LAMEA AI In Drone Market by Type
11.1 LAMEA Station Based Market by Country
11.2 LAMEA Cloud Based Market by Country
Chapter 12. LAMEA AI In Drone Market by Component
12.1 LAMEA Hardware Market by Country
12.2 LAMEA Software Market by Country
12.3 LAMEA Services Market by Country
Chapter 13. LAMEA AI In Drone Market by End Use
13.1 LAMEA Military Market by Country
13.2 LAMEA Commercial Market by Country
13.3 LAMEA Government Market by Country
Chapter 14. LAMEA AI In Drone Market by Application
14.1 LAMEA Security & Surveillance Market by Country
14.2 LAMEA Agriculture Market by Country
14.3 LAMEA Construction Market by Country
14.4 LAMEA Search & Rescue Market by Country
14.5 LAMEA Retail Market by Country
14.6 LAMEA Other Application Market by Country
Chapter 15. LAMEA AI In Drone Market by Country
15.1 Brazil AI In Drone Market
15.1.1 Brazil AI In Drone Market by Type
15.1.2 Brazil AI In Drone Market by Component
15.1.3 Brazil AI In Drone Market by End Use
15.1.4 Brazil AI In Drone Market by Application
15.2 Argentina AI In Drone Market
15.2.1 Argentina AI In Drone Market by Type
15.2.2 Argentina AI In Drone Market by Component
15.2.3 Argentina AI In Drone Market by End Use
15.2.4 Argentina AI In Drone Market by Application
15.3 UAE AI In Drone Market
15.3.1 UAE AI In Drone Market by Type
15.3.2 UAE AI In Drone Market by Component
15.3.3 UAE AI In Drone Market by End Use
15.3.4 UAE AI In Drone Market by Application
15.4 Saudi Arabia AI In Drone Market
15.4.1 Saudi Arabia AI In Drone Market by Type
15.4.2 Saudi Arabia AI In Drone Market by Component
15.4.3 Saudi Arabia AI In Drone Market by End Use
15.4.4 Saudi Arabia AI In Drone Market by Application
15.5 South Africa AI In Drone Market
15.5.1 South Africa AI In Drone Market by Type
15.5.2 South Africa AI In Drone Market by Component
15.5.3 South Africa AI In Drone Market by End Use
15.5.4 South Africa AI In Drone Market by Application
15.6 Nigeria AI In Drone Market
15.6.1 Nigeria AI In Drone Market by Type
15.6.2 Nigeria AI In Drone Market by Component
15.6.3 Nigeria AI In Drone Market by End Use
15.6.4 Nigeria AI In Drone Market by Application
15.7 Rest of LAMEA AI In Drone Market
15.7.1 Rest of LAMEA AI In Drone Market by Type
15.7.2 Rest of LAMEA AI In Drone Market by Component
15.7.3 Rest of LAMEA AI In Drone Market by End Use
15.7.4 Rest of LAMEA AI In Drone Market by Application
Chapter 16. Company Profiles
16.1 SZ DJI Technology Co., Ltd.
16.1.1 Company Overview
16.1.2 Recent Strategies and Developments
16.1.2.1 Product Launches and Product Expansions
16.2 DroneDeploy, Inc.
16.2.1 Company Overview
16.2.2 Recent Strategies and Developments
16.2.2.1 Partnerships, Collaborations, and Agreements
16.2.2.2 Acquisition and Mergers
16.3 AeroVironment, Inc.
16.3.1 Company Overview
16.3.2 Financial Analysis
16.3.3 Segmental and Regional Analysis
16.3.4 Research & Development Expenses
16.3.5 Recent Strategies and Developments
16.3.5.1 Product Launches and Product Expansions
16.3.5.2 Acquisition and Mergers
16.3.6 SWOT Analysis
16.4 Skydio, Inc.
16.4.1 Company Overview
16.4.2 Recent Strategies and Developments
16.4.2.1 Partnerships, Collaborations, and Agreements
16.4.2.2 Product Launches and Product Expansions
16.4.3 SWOT Analysis
16.5 Intel Corporation
16.5.1 Company Overview
16.5.2 Financial Analysis
16.5.3 Segmental and Regional Analysis
16.5.4 Research & Development Expenses
16.5.5 SWOT Analysis
16.6 Qualcomm Incorporated (Qualcomm Technologies, Inc.)
16.6.1 Company Overview
16.6.2 Financial Analysis
16.6.3 Segmental and Regional Analysis
16.6.4 Research & Development Expense
16.6.5 Recent Strategies and Developments
16.6.5.1 Product Launches and Product Expansions
16.6.6 SWOT Analysis
16.7 Skycatch, Inc.
16.7.1 Company Overview
16.8 Parrot Drone SAS
16.8.1 Company Overview
16.8.2 Financial Analysis
16.8.3 Segmental and Regional Analysis
16.8.4 Research & Development Expenses
16.8.5 Recent Strategies and Developments
16.8.5.1 Partnerships, Collaborations, and Agreements
16.8.5.2 Product Launches and Product Expansions
16.9 DELAIR SAS
16.9.1 Company Overview
16.9.2 SWOT Analysis
16.10. Northrop Grumman Corporation
16.10.1 Company Overview
16.10.2 Financial Analysis
16.10.3 Segmental and Regional Analysis
16.10.4 Research & Development Expenses
16.10.5 Recent Strategies and Developments
16.10.5.1 Partnerships, Collaborations, and Agreements
16.10.5.2 Product Launches and Product Expansions
16.10.6 SWOT Analysis

Companies Mentioned

  • SZ DJI Technology Co., Ltd.
  • DroneDeploy, Inc.
  • AeroVironment, Inc.
  • Skydio, Inc.
  • Intel Corporation
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Skycatch, Inc.
  • Parrot Drones SAS
  • DELAIR SAS
  • Northrop Grumman Corporation