ドローンのAI市場：市場規模、シェア、動向、力学、予測、競合分析、成長機会：2024年～2032年

ドローンのAIの市場規模は、2024年に128億米ドルとなりました。同市場は、2024年から2032年にかけて19.4%の驚異的なCAGRで成長し、2032年には550億米ドルに達する見込みです。

市場力学

イントロダクション

ドローン産業における人工知能（AI）の利用は、自動化、ナビゲーション、データ分析、リアルタイムの意思決定を増加させることで、産業を変革しています。ドローンにおけるAIは、機械学習、コンピュータビジョン、高度なアルゴリズムを活用し、自律飛行、障害物検知、正確なマッピングを強化します。スマートドローンは一般的に、作物モニタリングのための農業、配送自動化のための物流、セキュリティ目的の監視に応用されています。AIは、物体検知、予知保全、最適なルート計画を改善し、ドローンの信頼性を高め、複雑なオペレーションを実行できるようにします。建設や災害管理などの業界では、AIを搭載したドローンは、意思決定を強化するためのリアルタイムのデータ分析を提供します。また、ドローンにAIを統合することで、軍事利用やスマートシティの監視、自然保護なども可能になります。AI技術の開発により、ドローンの能力は向上し、効率性の向上、人的介入の低減、操作の安全性の強化が実現し、世界のAI搭載ドローン市場の大幅な成長を促進しています。

当レポートでは、世界のドローンのAI市場について調査し、市場の概要とともに、最終用途別、用途別、技術別、製品別、地域別動向、および主要企業のプロファイルなどを提供しています。

目次

第1章 エグゼクティブサマリー：市場の鳥瞰図

第2章 市場環境分析：市場力学に影響を与える要因の研究

• サプライチェーン分析（バリューチェーン全体にわたる主要参入企業/材料の特定）
• PEST分析（市場の需要に直接的または間接的に影響を与えるすべての要因のリスト）
• 業界ライフサイクル分析（市場の現在および将来のライフサイクル段階）
• 主要動向（市場力学を形成する主要な業界および市場動向）
  • クラウドベースのステーションへの移行の拡大
  • 軍事用途におけるAI搭載ドローンの成長
  • AI搭載ドローンを活用した配送・物流
• 市場促進要因（促進要因とその短期的・長期的な影響の研究）
  • 自動化の需要がドローン市場におけるAIの成長を牽引
  • 世界の軍事費の増加
  • 精密農業とスマート農業での利用拡大
  • EコマースとAI搭載ドローン市場
  • AI、ロボティクス、IoTの研究開発への投資の増加
• 市場の課題（導入・成長を阻害する要因の調査）
  • ドローンに関する規制と制限
  • 新規参入企業と小規模事業者にとっての経済的課題
  • プライバシーとセキュリティに関する懸念

第3章 ドローン市場におけるAIの評価（2019年～2032年）（10億米ドル）

• 市場カテゴリー分析（2024年）
• 主要な市場カテゴリーに関連する重要な洞察
• ドローン市場のAI動向と予測（10億米ドル）
• 市場シナリオ分析：さまざまな市場状況における成長軌道
• 収益性分析

第4章 ドローン市場セグメントの分析（2019年～2032年）（10億米ドル）

• 最終用途別分析
  • 農業
  • 配送と物流
  • 建築・建設
  • 一般写真
  • エネルギー
  • 保険
  • 公共安全
  • 消費者
  • 災害救援と医療
  • 軍事・防衛
  • その他
• 用途別分析
  • 検査とメンテナンス
  • マッピング・測量
  • 精密農業
  • 監視・モニタリング
  • その他
• 技術別分析
  • ステーションベースドローン
  • クラウドベースドローン
  • ハイブリッドドローン
• 製品別分析
  • ハードウェア
  • ソフトウェア
  • サービス
• 地域別分析
  • 北米
  • 欧州
  • アジア太平洋
  • その他の地域

第5章 競合分析

第6章 戦略的成長機会

第7章 主要企業の企業プロファイル（アルファベット順）

• Ambarella, Inc.
• CEVA, Inc.
• Folio3 Software Inc.
• Intel Corporation
• International Business Machines Corporation（IBM）
• NVIDIA Corporation
• Qualcomm Incorporated
• Skycatch, Inc.
• Skydio, Inc.
• SZ DJI Technology Co., Ltd.

第8章 付録

Market Insights

The AI in drones market size was USD 12.8 billion in 2024 and is likely to grow at an impressive CAGR of 19.4% during 2024-2032 to reach USD 55 billion in 2032.

Market Dynamics

Introduction

The use of Artificial Intelligence (AI) in the drone industry is transforming industries by increasing automation, navigation, data analysis, and real-time decision-making. AI in drones leverages machine learning, computer vision, and sophisticated algorithms to enhance autonomous flight, obstacle detection, and accurate mapping. Smart drones are commonly applied in agriculture for crop monitoring, logistics for delivery automation, and surveillance for security purposes. AI improves object detection, predictive maintenance, and optimal route planning, enabling drones to be more reliable and capable of executing complex operations. In industries such as construction and disaster management, AI-powered drones offer real-time data analysis for enhanced decision-making. The integration of AI in drones also enables military uses, smart city surveillance, and conservation. With the development of AI technology, drone capabilities have improved, providing increased efficiency, lower human intervention, and enhanced operating safety, promoting substantial growth in the worldwide AI in drones market.

Market Drivers

The market for AI-enabled drones is growing strongly with rising demand across industries, driven by innovation in automation, processing data in real time, and enhanced operating efficiency. In monitoring and surveillance, AI-enabled drones are revolutionizing security, law enforcement, and disaster relief through real-time analysis, facial recognition, and automated threat alerting. The delivery and logistics industry is also seeing fast adoption, with businesses using AI-enabled drones for last-mile delivery, route planning, and autonomous parcel sorting, cutting costs and enhancing efficiency. In defense and military, AI is improving reconnaissance, target detection, and autonomous missions, enhancing decision-making, and minimizing risks to human personnel. Furthermore, developments in drone hardware such as AI chipsets, lightweight materials, and high-capacity batteries are enhancing drone performance and longevity. Cloud-based AI integration additionally improves drone features by providing remote operation, real-time analytics on data, and scalable deployments, all driving mass adoption and growth of the AI-driven drone industry.

Recent Market JVs and Acquisitions:

A considerable number of strategic alliances, including M&As, JVs, etc., have been performed over the past few years:

• In 2025, IBM's DataStax acquisition represents a strategic step towards strengthening its cloud and AI-powered database capabilities. DataStax, which has expertise in Apache Cassandra, introduces scalable data management solutions that are complementary to IBM's vision of AI-powered cloud computing and enterprise data optimization.
• NVIDIA's December 2024 acquisition of Run: AI for $700 million optimizes the virtualization of GPUs and deep learning workloads for AI-powered drones. This maximizes real-time processing of data, which allows drones to carry out autonomous flight, sophisticated object recognition, and mission-critical decision-making in surveillance, logistics, and defense with increased efficiency and precision.
• Qualcomm's acquisition of Sequans' 4G IoT technology assets in August 2024 enhances AI-driven drones with enhanced 5G and IoT connectivity. Advanced chipsets provide smooth communication between drones and cloud-based AI systems, enabling real-time analytics, autonomous flight, and enhanced situational awareness for use cases like smart city surveillance, industrial inspections, and precision agriculture.

Recent Product Development:

The AI in the drones market is witnessing fast-paced developments, fueled by technological advances and strategic industry actions.

• In December 2024, Anduril Industries, a leading US defense startup focused on autonomous systems and AI technology, said it plans to set up a factory in the UK to produce drones. The move is intended to increase their presence in Europe and support research and development of autonomous weapons. The UK Ministry of Defence has already signed a £30 million contract with Anduril to provide Altius 600m and 700m loitering munitions drones to Ukraine.
• In the farming industry, AI drones are revolutionizing activities by allowing accurate crop monitoring and yield prediction. Based on data gathered by drones, AI algorithms make accurate yield predictions, which help farmers with efficient harvest planning and resource allocation.

Segments' Analysis

By End-Use Type

"The delivery & logistics and military & defense categories present the greatest growth potential in the AI drone market, driven by advancements in automation and operational efficiency."

Based on end-use type, the market is segmented into agriculture, delivery & logistics, building & construction, general photography, energy, insurance, public safety, consumer, disaster relief & medical, military & defense, and other end-users. The military & defense and delivery & logistics industries present significant growth opportunities for AI drones, driven by increasing automation, strategic investments, and the pursuit of greater efficiency. In logistics, companies are leveraging AI drones to enable faster, cost-effective deliveries while reducing reliance on traditional transportation networks. Simultaneously, global militaries are adopting AI drones for surveillance, reconnaissance, and autonomous operations, enhancing mission effectiveness. Continued investment from both governments and private enterprises is fueling innovation, solidifying these sectors as key drivers of AI drone market expansion.

By Application Type

"Surveillance & Monitoring shows the highest growth potential due to rising security needs, real-time threat detection, environmental concerns, and increased investments."

Based on application type, the market is segmented into inspection & maintenance, mapping & surveying, precision agriculture, surveillance & monitoring, and other applications. The surveillance and monitoring application is witnessing rapid growth, this surge is driven by rising security concerns, the need for real-time threat detection, and an increased focus on environmental monitoring. Urban areas are adopting AI-powered surveillance systems to enhance public safety and deter crime. Meanwhile, governments and defense agencies are investing in autonomous drones for border surveillance and intelligence, while private firms are developing AI-based monitoring solutions for infrastructure and environmental conservation. Continuous advancements in AI, automation, and data analytics are further propelling this segment's expansion.

By Technology Type

"Cloud-based drones offer the highest growth potential, driven by real-time data processing, scalability, AI integration, and rising demand across smart city surveillance, logistics, and large-scale monitoring operations."

Based on technology type, the market is segmented into station-based drones, cloud-based drones, and hybrid drones. Cloud drones have tremendous growth prospects as these drones excel in real-time data processing, scalability, and seamless AI integration-key features for high-demand applications like smart city surveillance, logistics, and large-scale monitoring. Notably, the NYPD has deployed AI-powered drones for real-time urban monitoring and emergency response, enhancing public safety. Similarly, Ukraine's military has effectively used cloud-based drones for battlefield surveillance, demonstrating their capability in wide-area operations and growing cross-industry adoption.

By Product Type

"The hardware category offers the highest growth potential due to the development of AI-enabled, lightweight, and compact designs that enhance drone performance, boost efficiency, and drive broader adoption across various industries."

Based on technology type, the market is segmented into hardware, software, and services. Advancements in drone hardware, including AI components, lightweight materials, and compact designs, are significantly enhancing drone performance and efficiency, leading to increased adoption across various industries. For instance, the development of ultra-low-power modules like GAP9 Shield enables high-definition imaging and advanced obstacle avoidance in nano-drones, making them more capable and versatile. Additionally, the integration of AI-specific chips allows drones to autonomously handle complex tasks, reducing the need for human intervention and expanding their applicability in sectors such as agriculture, surveillance, and logistics.

Regional Insights

"The Asia-Pacific is expected to remain the largest market for AI in drones during the forecast period."

In terms of regions, the Asia-Pacific region is projected to lead the AI in drones market during the forecast period, driven by a combination of technological advancements, strong manufacturing capabilities, and supportive government initiatives. A key factor contributing to this dominance is China's position as home to major industry players such as SZ DJI Technology Co. Ltd, a global leader in drone manufacturing. The region benefits from robust R&D infrastructure and policy frameworks that promote innovation in drone technologies, further accelerating the adoption of AI-integrated unmanned aerial vehicles.

Additionally, the demand for AI-powered drones is rapidly expanding across diverse sectors in Asia-Pacific, including agriculture, logistics, surveillance, and infrastructure monitoring. These drones are being increasingly used to enhance operational efficiency, automate tasks, and improve data-driven decision-making. For example, in agriculture, AI drones help in crop health monitoring and precision spraying, while in public safety, they support real-time surveillance and emergency response. This widespread application of AI in drones is significantly contributing to the region's market growth and technological leadership.

Key Players

The market is moderately consolidated, with leading players holding a significant share and primarily generating their revenue through hardware product offerings, which remain the core focus of their business strategies. Most of the major players compete in some of the governing factors, including price, service offerings, regional presence, etc. The following are the key players in the AI in drones market.

• Here is the list of the Top Players (Based on Dominance)
• NVIDIA Corporation
• Intel Corporation
• Qualcomm Incorporated
• SZ DJI Technology Co., Ltd.
• International Business Machines Corporation (IBM)
• Skydio, Inc.
• Ambarella, Inc.
• CEVA, Inc.
• Skycatch, Inc.
• Folio3 Software Inc.

Research Methodology

This strategic assessment report, from Stratview Research, provides a comprehensive analysis that reflects today's AI in drones market realities and future market possibilities for the forecast period of 2024 to 2032. After a continuous interest in our AI in drones market report from the industry stakeholders, we have tried to further accentuate our research scope to the AI in drones market to provide the most crystal-clear picture of the market. The report segments and analyses the market in the most detailed manner to provide a panoramic view of the market. The vital data/information provided in the report can play a crucial role for the market participants as well as investors in the identification of the low-hanging fruits available in the market as well as to formulate the growth strategies to expedite their growth process.

This report offers high-quality insights and is the outcome of a detailed research methodology comprising extensive secondary research, rigorous primary interviews with industry stakeholders, and validation and triangulation with Stratview Research's internal database and statistical tools. More than 1000 authenticated secondary sources, such as company annual reports, fact books, press releases, journals, investor presentations, white papers, patents, and articles, have been leveraged to gather the data. We conducted more than 15 detailed primary interviews with the market players across the value chain in all four regions and industry experts to obtain both qualitative and quantitative insights.

Report Features

This report provides market intelligence most comprehensively. The report structure has been kept so that it offers maximum business value. It provides critical insights into market dynamics and will enable strategic decision-making for existing market players as well as those willing to enter the market. The following are the key features of the report:

• Market structure: Overview, industry life cycle analysis, supply chain analysis.
• Market environment analysis: Growth drivers and constraints, Porter's five forces analysis, SWOT analysis.
• Market trend and forecast analysis.
• Market segment trend and forecast.
• Competitive landscape and dynamics: Market share, Service portfolio, New Product Launches, etc.
• COVID-19 impact and its recovery curve
• Attractive market segments and associated growth opportunities.
• Emerging trends.
• Strategic growth opportunities for the existing and new players.
• Key success factors.

Market Segmentation

This report studies the market, covering a period of 12 years of trend and forecast. The report provides detailed insights into the market dynamics to enable informed business decision-making and growth strategy formulation based on the opportunities present in the market.

The AI in drones market is segmented into the following categories:

By End-Use Type

• Agriculture
• Delivery & Logistics
• Building & Construction
• General Photography
• Energy
• Insurance
• Public Safety
• Consumer
• Disaster Relief & Medical
• Military & Defence
• Other End-Users

By Application Type

• Inspection & Maintenance
• Mapping & Surveying
• Precision Agriculture
• Surveillance & Monitoring
• Other Applications

By Technology Type

• Station-Based Drones
• Cloud-Based Drones
• Hybrid Drones

By Product Type

• Hardware
• Software
• Services

By Region

• North America (Country Analysis: The USA, Canada, and Mexico)
• Europe (Country Analysis: Germany, France, The UK, and the Rest of Europe)
• Asia-Pacific (Country Analysis: Japan, China, India, and Rest of Asia-Pacific)
• Rest of the World (Country Analysis: Brazil, Saudi Arabia, and Others)

Table of Contents

• Report Scope
• Report Objectives
• Research Methodology
• Adjacent Studies/Reports Utilized During the Market Study
• Market Segmentation
• Secondary Research
• Key Information Gathered from Secondary Research
• Primary Research
• Key Information Gathered from Primary Research
• Breakdown of Primary Interviews by Region, Designation, and Value Chain Node
• Data Analysis and Triangulation

1. Executive Summary: A Bird's Eye View of the Market

2. Market Environment Analysis: Study of Factors Affecting Market Dynamics

• 2.1. Supply Chain Analysis (Identification of Key Players/Materials across the Value Chain)
• 2.2. PEST Analysis (List of All Factors Directly or Indirectly Affecting the Market Demand)
• 2.3. Industry Life Cycle Analysis (Current and Future Lifecycle Stage of the Market)
• 2.4. Key Trends (Key Industry as well as Market Trends Shaping the Market Dynamics)
  • 2.4.1. Growing Shift Towards Cloud-Based stations
  • 2.4.2. Growth of AI-enabled Drones in Military Applications
  • 2.4.3. Delivery & Logistics Employing AI-enabled Drones
• 2.5. Market Drivers (Study of Drivers and their Short- and Long-Term Impacts)
  • 2.5.1. Demand for Automation driving the growth of AI in Drones Market
  • 2.5.2. Rise in Global Military Expenditure
  • 2.5.3. Growing use in Precision & Smart Farming
  • 2.5.4. E-commerce and the AI-Enabled Drones Market
  • 2.5.5. Growth of investments in the R&D in AI, Robotics, and IoT
• 2.6. Market Challenges (Study of Factors Hindering the Adoption/Growth)
  • 2.6.1. Regulations & Restrictions concerning drones
  • 2.6.2. Economic Challenges to entrants and small players
  • 2.6.3. Privacy & Security Concerns

3. AI in Drones Market Assessment (2019-2032) (US$ Billion)

• 3.1. Market Category Analysis (2024)
• 3.2. Key Insights Related to the Leading Market Categories
• 3.3. AI in Drones Market Trend and Forecast (US$ Billion)
• 3.4. Market Scenario Analysis: Growth Trajectories in Different Market Conditions
• 3.5. Profitability Analysis

4. AI in Drones Market Segments' Analysis (2019-2032) (US$ Billion)

• 4.1. End-Use-Type Analysis
  • 4.1.1. Agriculture: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.2. Delivery & Logistics: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.3. Building & Construction: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.4. General Photography: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.5. Energy: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.6. Insurance: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.7. Public Safety: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.8. Consumer: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.9. Disaster Relief & Medical: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.10. Military & Defense: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.1.11. Other End-Users: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
• 4.2. Application-Type Analysis
  • 4.2.1. Inspection & Maintenance: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.2.2. Mapping & Surveying: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.2.3. Precision Agriculture: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.2.4. Surveillance & Monitoring: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.2.5. Other Applications: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
• 4.3. Technology-Type Analysis
  • 4.3.1. Station-Based Drones: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.3.2. Cloud-Based Drones: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.3.3. Hybrid Drones: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
• 4.4. Product-Type Analysis
  • 4.4.1. Hardware: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.4.2. Software: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
  • 4.4.3. Services: Market Trend and Forecast, Regional Analysis, Key Insights, and Attractiveness
• 4.5. Regional Analysis
  • 4.5.1. North American AI in Drones Market: Trend and Forecast, Insights, Regional Breakdown, and Attractiveness
    • 4.5.1.1. The USA's AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.1.2. Canadian AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.1.3. Mexican AI in Drones Market: Growth Rates, Market Forecast, and Insights
  • 4.5.2. European AI in Drones Market: Trend and Forecast, Insights, Regional Breakdown, and Attractiveness
    • 4.5.2.1. German AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.2.2. French AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.2.3. The UK's AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.2.4. Rest of the European AI in Drones Market: Growth Rates, Market Forecast, and Insights
  • 4.5.3. Asia-Pacific's AI in Drones Market: Trend and Forecast, Insights, Regional Breakdown, and Attractiveness
    • 4.5.3.1. Indian AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.3.2. Chinese AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.3.3. Japanese AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.3.4. Rest of the Asia-Pacific's AI in Drones Market: Growth Rates, Market Forecast, and Insights
  • 4.5.4. Rest of the World's (RoW) AI in Drones Market: Trend and Forecast, Insights, Regional Breakdown, and Attractiveness
    • 4.5.4.1. Brazilian AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.4.2. Saudi Arabian AI in Drones Market: Growth Rates, Market Forecast, and Insights
    • 4.5.4.3. Other AI in Drones Market: Growth Rates, Market Forecast, and Insights

5. Competitive Analysis

• 5.1. Degree of Competition (Current Stage of Competition based on Market Consolidation)
• 5.2. Competitive Landscape (Benchmarking of Key Players in Crucial Parameters)
• 5.3. Market Share Analysis (Key Players and their Respective Shares)
• 5.4. Product Portfolio Mapping (Map their Presence in Different Market Categories)
• 5.5. Geographical Presence (Map their Geographical Presence)
• 5.6. Key Target Areas for Product Development (Understand the Industry Focus while Development)
• 5.7. M&As, JVs, Collaborations, Strategic Alliances, etc. (Map All the Major M&As and JVs)
• 5.8. Porter's Five Forces Analysis (A Bird's Eye View of the Overall Competitive Landscape)

6. Strategic Growth Opportunities

• 6.1. High-Growth Market Categories
• 6.2. Emerging Trends (Key Trends that May Shape the Market Dynamics in the Future)
• 6.3. Key Strategic Implications (Changing Market Dynamics and their Key Implications)
• 6.4. Key Success Factors (KSFs) (Identifying Some Factors that May Help Companies to Gain Business)

7. Company Profile of Key Players (Alphabetically Arranged)

• 7.1. Ambarella, Inc.
• 7.2. CEVA, Inc.
• 7.3. Folio3 Software Inc.
• 7.4. Intel Corporation
• 7.5. International Business Machines Corporation (IBM)
• 7.6. NVIDIA Corporation
• 7.7. Qualcomm Incorporated
• 7.8. Skycatch, Inc.
• 7.9. Skydio, Inc.
• 7.10. SZ DJI Technology Co., Ltd.

8. Appendix

• 8.1. Disclaimer
• 8.2. Copyright
• 8.3. Abbreviation
• 8.4. Currency Exchange
• 8.5. Market Numbers