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市場調查報告書
商品編碼
1729057

無人機的AI市場:市場規模，佔有率，趨勢，動態，預測，競爭分析，成長機會:2024年～2032年

AI in Drones Market Size, Share, Trends, Dynamics, Forecast, Competitive Analysis, and Growth Opportunity: 2024-2032
出版日期: | 出版商: Stratview Research | 英文 120 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

2024年，無人機人工智慧市場價值為128億美元。預計到2032年，該市場將達到550億美元，2024年至2032年間的複合年增長率高達19.4%。

市場動態

引言

人工智慧 (AI) 在無人機產業的應用正在透過提高自動化、導航、數據分析和即時決策能力來改變整個產業。無人機人工智慧利用機器學習、電腦視覺和先進演算法來增強自主飛行、障礙物偵測和精確測繪能力。智慧無人機通常應用於農業作物監測、物流配送自動化以及安全監控。人工智慧 (AI) 提升了物件偵測、預測性維護和最優路線規劃的能力，使無人機更加可靠，能夠執行複雜的作業。在建築和災害管理等行業，搭載人工智慧的無人機可以提供即時數據分析，進而增強決策能力。將人工智慧融入無人機也為軍事應用、智慧城市監控和自然保護開闢了新的途徑。人工智慧技術的發展提升了無人機的性能，從而提高了效率，減少了人為幹預，增強了操作安全性，推動了全球人工智慧無人機市場的顯著成長。

本報告提供全球無人機的AI市場相關調查，市場概要，以及各最終用途，各用途，各技術，各產品，各地區趨勢，及的並提供主要企業簡介等資訊現在做。

目錄

第1章 摘要整理:市場鳥瞰圖

第2章 市場環境分析:市場動態的影響因素的研究

  • 供應鏈分析（辨識價值鏈中的關鍵參與者/材料）
  • PEST 分析（列出所有直接或間接影響市場需求的因素）
  • 產業生命週期分析（市場當前與未來的生命週期階段）
  • 關鍵趨勢（影響市場動態的主要產業和市場趨勢）
    • 遷移到雲端工作站的成長
    • 人工智慧無人機在軍事應用上的成長
    • 使用人工智慧無人機進行配送和物流
  • 市場推動因素（推動因素及其短期和長期影響的研究）影響）
    • 自動化需求推動無人機市場人工智慧成長
    • 全球軍費增加
    • 精準農業和智慧農業應用日益廣泛
    • 電子商務與人工智慧無人機市場
    • 人工智慧、機器人和物聯網研發投入不斷增加
  • 市場挑戰（阻礙應用與成長的因素研究）
    • 無人機法規和限制
    • 新進業者與小型企業面臨的經濟挑戰
    • 隱私與安全問題

第3章 無人機市場上AI的評估(2019年～2032年)(10億美元)

  • 市場類別分析 (2024)
  • 主要市場類別的關鍵見解
  • 無人機市場人工智慧趨勢與預測（美元十億美元）
  • 市場情境分析：不同市場條件下的成長軌跡
  • 獲利能力分析

第4章 無人機市場區隔的分析(2019年～2032年)(10億美元)

  • 各最終用途分析
    • 農業
    • 發送和物流
    • 建築·建設
    • 一般照片
    • 能源
    • 保險
    • 公共安全
    • 消費者
    • 災害救援和醫療
    • 軍事·防衛
    • 其他
  • 各用途分析
    • 檢驗和維修
    • 製圖·測量
    • 精密農業
    • 監視·監測
    • 其他
  • 各技術分析
    • 固定站式無人機
    • 雲端基礎無人機
    • 混合無人機
  • 各產品分析
    • 硬體設備
    • 軟體
    • 服務
  • 各地區分析
    • 北美
    • 歐洲
    • 亞太地區
    • 其他地區

第5章 競爭分析

第6章 策略性成長機會

第7章 主要企業的企業簡介(拉丁字母順序)

  • 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 附錄

簡介目錄
Product Code: SR3084

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