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市场调查报告书
商品编码
1803186
无人机的AI的全球市场:市场规模与占有率分析 - 主要趋势，未来的机会，成长策略与预测(2025年～2032年)AI in Drone Market Size & Share Analysis - Key Trends, Future Opportunities, Growth Strategies, and Forecasts (2025 - 2032) |
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预计无人机人工智慧市场规模将从2024年的125亿美元成长至2032年的384亿美元，复合年增长率高达15.2%。这一快速成长得益于技术进步的快速发展，这些进步提高了无人机的效率和价格承受能力。印度的 "无人机力量" （Drone Shakti）和PLI计画等政府扶持政策也发挥着至关重要的作用，它们促进了无人机的本土化生产并简化了无人机操作。
由于无人机被滥用进行非法监视和定点攻击的安全担忧日益加剧，全球对基于人工智慧的反无人机系统的投资显着增加。特别是，各国国防部正在加强无人机项目，以应对俄罗斯与乌克兰之间的战争以及印度与巴基斯坦等地区的紧张局势。受此趋势影响，全球军用无人机支出预计将从2024年的165亿美元增加到2032年的437亿美元。
关键洞见
2024年，基地台无人机占了80%的市场占有率，这得益于国防领域的广泛应用及其完全自主飞行的能力。
预计云端无人机将成长最快，这得益于5G、边缘运算和人工智慧优化平台的进步。乌克兰军方广泛使用无人机进行战斗监视。
2024年，硬体占了75%的主导占有率，这得益于对机载处理器、感测器和导航系统的需求旺盛，这些系统可以增强无人机的性能和资料收集。
预计软体将实现最快成长，这得益于用于自主导航、预测性维护和影像分析的人工智慧演算法的持续创新。
基于人工智慧的成像技术利用雷射雷达和热成像等技术进行基础设施检查和环境监测，占了 70% 的市场占有率，引领市场。
基于人工智慧的数据分析技术有望成为成长最快的技术，支援城市规划和灾害管理中的即时决策。
随着配备脸部辨识和夜视功能的无人机越来越多地用于国家和民事安全，安防和监控仍将是最大的应用领域，到 2024 年将占 60% 的市场占有率。
物流是成长最快的应用领域，这得益于医疗保健、零售和国防领域对自主、非接触式配送解决方案的需求。
到 2024 年，军事领域将占 65% 的市场占有率，利用人工智慧无人机进行侦察、战略任务和战场情报收集。
商业领域将实现最快的成长，这得益于人工智慧无人机在城市规划、基础设施监控、执法和社群媒体内容创作中的应用。
得益于美国联邦航空管理局 (FAA) 的严格监管以及无人机在农业、国防等各个领域的广泛应用，北美将在 2024 年以 40% 的市场占有率引领市场。
亚太地区的复合年增长率最高，中国、印度、日本和韩国等国家将大力投资人工智慧无人机技术，用于军事、灾害应变和智慧基础设施。
预计印度军用无人机销售额将在 2024 年达到 15.502 亿美元，到 2032 年将达到 55.746 亿美元，部分原因是农业人工智慧无人机的补贴。
主要市场参与者包括 NVIDIA Corporation、Intel Corporation、Qualcomm Incorporated、DJI、Skydio、Ambarella、IBM、Teledyne FLIR 和 Parrot。
近期发展包括将于 2025 年 6 月推出的 Skydio X10，该机型配备智慧导航和 FLIR Systems 热成像摄像头，以及与 NVIDIA 合作，利用先进的 AI 模组增强无人机功能。
本报告研究了全球无人机 AI 市场，提供按类型、组件、技术、应用、最终用途、地区和国家/地区划分的趋势洞察，并提供公司概况。
目录
第1章 调查范围
第2章 调查手法
第3章 摘要整理
第4章 市场指标
第5章 产业展望
- 产业背景
- 市场动态
- COVID-19影响
- 社会政治影响
- 波特的五力分析
- 革新和科技趋势
- 经济与法规的影响
- 打入市场策略
第6章 竞争情形
- 市场参与企业与提供产品一览
- 主要企业的市场占有率(2024年)
- 世界
- 北美
- 欧洲
- 亚太地区
- 南美
- 中东·非洲
- 主要加入企业的竞争基准
- 主要参与者的近期策略发展
- 企业龙头矩阵
第7章 全球市场
- 概要
- 市场收益，各类型(2019年～2032年)
- 市场收益，各零件(2019年～2032年)
- 市场收益，各技术(2019年～2032年)
- 市场收益，各用途(2019年～2032年)
- 市场收益，各最终用途(2019年～2032年)
- 市场收益，各地区(2019年～2032年)
第8章 北美市场
第9章 欧洲市场
第10章 亚太地区市场
第11章 南美市场
第12章 中东·非洲市场
第13章 企业简介
第14章 附录
The AI in drone market is poised for remarkable expansion, projected to grow from USD 12.5 billion in 2024 to USD 38.4 billion by 2032, at a robust CAGR of 15.2%. This surge is driven by rapid technological advancements enhancing drone efficiency and affordability. Supportive government policies, such as India's Drone Shakti and the PLI scheme, are also playing a pivotal role by promoting local manufacturing and simplifying drone operations.
Rising security concerns surrounding the misuse of UAVs for illegal surveillance and targeted attacks have significantly heightened global investments in AI-enabled counter-drone systems. Notably, defense departments are ramping up their drone programs in response to the Russia-Ukraine war and regional tensions like those between India and Pakistan. Reflecting this trend, global military drone spending is forecasted to rise from USD 16.5 billion in 2024 to USD 43.7 billion by 2032.
Key Insights
Station-based drones accounted for 80% of the market in 2024, driven by their widespread adoption in defense and their ability to perform fully autonomous flight cycles.
Cloud-based drones are anticipated to grow the fastest, powered by advancements in 5G, edge computing, and AI-optimized platforms. Ukraine's military uses them extensively for combat surveillance.
Hardware was the dominant component in 2024 with a 75% share, due to high demand for onboard processors, sensors, and navigation systems that enhance drone performance and data capture.
Software is projected to record the fastest growth, owing to continuous innovation in AI algorithms for self-navigation, predictive maintenance, and image analysis.
AI-based imaging led the market with a 70% share, leveraging technologies such as LiDAR and thermal imaging for infrastructure inspections and environmental surveillance.
AI-based data analysis is expected to be the fastest-growing technology, supporting real-time decision-making in urban planning and disaster management.
Security and surveillance remained the largest application area, with a 60% share in 2024, as drones with facial recognition and night vision are increasingly used for national and civil security.
Logistics is the fastest-growing application, driven by demand for autonomous, contactless delivery solutions across healthcare, retail, and defense sectors.
The military sector accounted for 65% of the market in 2024, utilizing AI drones for reconnaissance, strategic missions, and battlefield intelligence.
The commercial sector will grow the fastest, fueled by AI drone use in urban planning, infrastructure monitoring, law enforcement, and social media content creation.
North America led the market with a 40% share in 2024, supported by strong FAA regulations and the adoption of drones in sectors ranging from agriculture to defense.
Asia-Pacific will see the highest CAGR, with countries like China, India, Japan, and South Korea investing heavily in AI drone technologies for military, disaster response, and smart infrastructure.
Military drone sales in India were valued at USD 1,550.2 million in 2024 and are expected to reach USD 5,574.6 million by 2032, aided by subsidies for AI drones in agriculture.
Key players shaping the market include NVIDIA Corporation, Intel Corporation, Qualcomm Incorporated, DJI, Skydio, Ambarella, IBM, Teledyne FLIR, and Parrot.
Recent developments include the June 2025 launch of Skydio X10 with smart navigation and FLIR thermal imaging, and NVIDIA's partnerships aimed at enhancing drone capabilities through advanced AI modules.
Table of Contents
Chapter 1. Research Scope
- 1.1. Research Objectives
- 1.2. Market Definition
- 1.3. Analysis Period
- 1.4. Market Size Breakdown by Segments
- 1.4.1. Market Size Breakdown, by Type
- 1.4.2. Market Size Breakdown, by Component
- 1.4.3. Market Size Breakdown, by Technology
- 1.4.4. Market Size Breakdown, by Application
- 1.4.5. Market Size Breakdown, by End Use
- 1.4.6. Market Size Breakdown, by Region
- 1.4.7. Market Size Breakdown, by Country
- 1.5. Market Data Reporting Unit
- 1.5.1. Revenue
- 1.6. Key Stakeholders
Chapter 2. Research Methodology
- 2.1. Secondary Research
- 2.1.1. Paid
- 2.1.2. Unpaid
- 2.1.3. P&S Intelligence Database
- 2.2. Primary Research
- 2.3. Market Size Estimation
- 2.4. Data Triangulation
- 2.5. Currency Conversion Rates
- 2.6. Assumptions for the Study
- 2.7. Notes and Caveats
Chapter 3. Executive Summary
Chapter 4. Market Indicators
Chapter 5. Industry Outlook
- 5.1. Industry Background
- 5.2. Market Dynamics
- 5.2.1. Trends
- 5.2.2. Drivers
- 5.2.3. Restraints/Challenges
- 5.2.4. Emerging Economies and Key Opportunities
- 5.2.5. Impact Analysis of Drivers/Restraints
- 5.3. Impact of COVID-19
- 5.4. Sociopolitical Impact
- 5.5. Porter's Five Forces Analysis
- 5.5.1. Bargaining Power of Buyers
- 5.5.2. Bargaining Power of Suppliers
- 5.5.3. Threat of New Entrants
- 5.5.4. Intensity of Rivalry
- 5.5.5. Threat of Substitutes
- 5.6. Innovation and Technology Trends
- 5.7. Economic and Regulatory Impact
- 5.8. Market Entry Strategies
Chapter 6. Competitive Landscape
- 6.1. List of Market Players and their Offerings
- 6.2. Market Share of Key Players (2024)
- 6.2.1. Global
- 6.2.2. North America
- 6.2.3. Europe
- 6.2.4. Asia-Pacific
- 6.2.5. Latin America
- 6.2.6. Middle East & Africa
- 6.3. Competitive Benchmarking of Key Players
- 6.4. Recent Strategic Developments by Key Players
- 6.5. Company Leadership Matrix
Chapter 7. Global Market
- 7.1. Overview
- 7.2. Market Revenue, by Type (2019-2032)
- 7.3. Market Revenue, by Component (2019-2032)
- 7.4. Market Revenue, by Technology (2019-2032)
- 7.5. Market Revenue, by Application (2019-2032)
- 7.6. Market Revenue, by End Use (2019-2032)
- 7.7. Market Revenue, by Region (2019-2032)
Chapter 8. North America Market
- 8.1. Overview
- 8.2. Market Revenue, by Type (2019-2032)
- 8.3. Market Revenue, by Component (2019-2032)
- 8.4. Market Revenue, by Technology (2019-2032)
- 8.5. Market Revenue, by Application (2019-2032)
- 8.6. Market Revenue, by End Use (2019-2032)
- 8.7. Market Revenue, by Country (2019-2032)
Chapter 9. Europe Market
- 9.1. Overview
- 9.2. Market Revenue, by Type (2019-2032)
- 9.3. Market Revenue, by Component (2019-2032)
- 9.4. Market Revenue, by Technology (2019-2032)
- 9.5. Market Revenue, by Application (2019-2032)
- 9.6. Market Revenue, by End Use (2019-2032)
- 9.7. Market Revenue, by Country (2019-2032)
Chapter 10. Asia-Pacific Market
- 10.1. Overview
- 10.2. Market Revenue, by Type (2019-2032)
- 10.3. Market Revenue, by Component (2019-2032)
- 10.4. Market Revenue, by Technology (2019-2032)
- 10.5. Market Revenue, by Application (2019-2032)
- 10.6. Market Revenue, by End Use (2019-2032)
- 10.7. Market Revenue, by Country (2019-2032)
Chapter 11. Latin America Market
- 11.1. Overview
- 11.2. Market Revenue, by Type (2019-2032)
- 11.3. Market Revenue, by Component (2019-2032)
- 11.4. Market Revenue, by Technology (2019-2032)
- 11.5. Market Revenue, by Application (2019-2032)
- 11.6. Market Revenue, by End Use (2019-2032)
- 11.7. Market Revenue, by Country (2019-2032)
Chapter 12. Middle East & Africa Market
- 12.1. Overview
- 12.2. Market Revenue, by Type (2019-2032)
- 12.3. Market Revenue, by Component (2019-2032)
- 12.4. Market Revenue, by Technology (2019-2032)
- 12.5. Market Revenue, by Application (2019-2032)
- 12.6. Market Revenue, by End Use (2019-2032)
- 12.7. Market Revenue, by Country (2019-2032)
Chapter 13. Company Profiles
Chapter 14. Appendix
- 14.1. Sources and References
- 14.2. Related Reports
