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市場調查報告書
商品編碼
1803186

無人機的AI的全球市場:市場規模與佔有率分析 - 主要趨勢,未來的機會,成長策略與預測(2025年~2032年)

AI in Drone Market Size & Share Analysis - Key Trends, Future Opportunities, Growth Strategies, and Forecasts (2025 - 2032)

出版日期: | 出版商: Prescient & Strategic Intelligence | 英文 320 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計無人機人工智慧市場規模將從2024年的125億美元成長至2032年的384億美元,複合年增長率高達15.2%。這一快速成長得益於技術進步的快速發展,這些進步提高了無人機的效率和價格承受能力。印度的 "無人機力量" (Drone Shakti)和PLI計畫等政府扶持政策也發揮著至關重要的作用,它們促進了無人機的本土化生產並簡化了無人機操作。

由於無人機被濫用進行非法監視和定點攻擊的安全擔憂日益加劇,全球對基於人工智慧的反無人機系統的投資顯著增加。特別是,各國國防部正在加強無人機項目,以應對俄羅斯與烏克蘭之間的戰爭以及印度與巴基斯坦等地區的緊張局勢。受此趨勢影響,全球軍用無人機支出預計將從2024年的165億美元增加到2032年的437億美元。

關鍵洞見

2024年,基地台無人機佔了80%的市場佔有率,這得益於國防領域的廣泛應用及其完全自主飛行的能力。

預計雲端無人機將成長最快,這得益於5G、邊緣運算和人工智慧優化平台的進步。烏克蘭軍方廣泛使用無人機進行戰鬥監視。

2024年,硬體佔了75%的主導佔有率,這得益於對機載處理器、感測器和導航系統的需求旺盛,這些系統可以增強無人機的性能和資料收集。

預計軟體將實現最快成長,這得益於用於自主導航、預測性維護和影像分析的人工智慧演算法的持續創新。

基於人工智慧的成像技術利用雷射雷達和熱成像等技術進行基礎設施檢查和環境監測,佔了 70% 的市場佔有率,引領市場。

基於人工智慧的數據分析技術有望成為成長最快的技術,支援城市規劃和災害管理中的即時決策。

隨著配備臉部辨識和夜視功能的無人機越來越多地用於國家和民事安全,安防和監控仍將是最大的應用領域,到 2024 年將佔 60% 的市場佔有率。

物流是成長最快的應用領域,這得益於醫療保健、零售和國防領域對自主、非接觸式配送解決方案的需求。

到 2024 年,軍事領域將佔 65% 的市場佔有率,利用人工智慧無人機進行偵察、戰略任務和戰場情報收集。

商業領域將實現最快的成長,這得益於人工智慧無人機在城市規劃、基礎設施監控、執法和社群媒體內容創作中的應用。

得益於美國聯邦航空管理局 (FAA) 的嚴格監管以及無人機在農業、國防等各個領域的廣泛應用,北美將在 2024 年以 40% 的市場佔有率引領市場。

亞太地區的複合年增長率最高,中國、印度、日本和韓國等國家將大力投資人工智慧無人機技術,用於軍事、災害應變和智慧基礎設施。

預計印度軍用無人機銷售額將在 2024 年達到 15.502 億美元,到 2032 年將達到 55.746 億美元,部分原因是農業人工智慧無人機的補貼。

主要市場參與者包括 NVIDIA Corporation、Intel Corporation、Qualcomm Incorporated、DJI、Skydio、Ambarella、IBM、Teledyne FLIR 和 Parrot。

近期發展包括將於 2025 年 6 月推出的 Skydio X10,該機型配備智慧導航和 FLIR Systems 熱成像攝像頭,以及與 NVIDIA 合作,利用先進的 AI 模組增強無人機功能。

本報告研究了全球無人機 AI 市場,提供按類型、組件、技術、應用、最終用途、地區和國家/地區劃分的趨勢洞察,並提供公司概況。

目錄

第1章 調查範圍

第2章 調查手法

第3章 摘要整理

第4章 市場指標

第5章 產業展望

  • 產業背景
  • 市場動態
  • COVID-19影響
  • 社會政治影響
  • 波特的五力分析
  • 革新和科技趨勢
  • 經濟與法規的影響
  • 打入市場策略

第6章 競爭情形

  • 市場參與企業與提供產品一覽
  • 主要企業的市場佔有率(2024年)
    • 世界
    • 北美
    • 歐洲
    • 亞太地區
    • 南美
    • 中東·非洲
  • 主要加入企業的競爭基準
  • 主要參與者的近期策略發展
  • 企業龍頭矩陣

第7章 全球市場

  • 概要
  • 市場收益,各類型(2019年~2032年)
  • 市場收益,各零件(2019年~2032年)
  • 市場收益,各技術(2019年~2032年)
  • 市場收益,各用途(2019年~2032年)
  • 市場收益,各最終用途(2019年~2032年)
  • 市場收益,各地區(2019年~2032年)

第8章 北美市場

第9章 歐洲市場

第10章 亞太地區市場

第11章 南美市場

第12章 中東·非洲市場

第13章 企業簡介

第14章 附錄

簡介目錄
Product Code: 13627

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