시장보고서
상품코드
1811882

드론용 AI시장 규모, 점유율, 업계 분석 보고서 : 유형별, 컴포넌트별, 최종 용도별, 용도별, 지역별 전망 및 예측(2025-2032년)

Global AI In Drone Market Size, Share & Industry Analysis Report By Type, By Component, By End Use, By Application, By Regional Outlook and Forecast, 2025 - 2032

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 573 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 드론용 AI 시장 규모는 예측 기간 중에 17.4%의 연평균 복합 성장률(CAGR)로 성장하여 2032년까지 410억 2,000만 달러에 이를 것으로 예상되고 있습니다.

주요 하이라이트:

  • 2024년 드론용 AI 세계 시장에서 북미는 2024년 36.00%의 매출 점유율을 차지하며 우위를 점했습니다.
  • 미국 시장은 2032년까지 시장 규모가 103억 7,000만 달러에 달할 것으로 예상되며, 북미 시장에서의 리더십을 유지할 것으로 예측됩니다.
  • 다양한 유형 중 스테이션 기반 부문이 2024년 54.11%의 매출 점유율을 차지하며 세계 시장을 장악했습니다.
  • 부품의 경우, 하드웨어 부문이 2032년까지 45.48%의 매출 점유율을 차지하며 세계 시장을 주도할 것으로 예측됩니다.
  • 군사 분야는 2024년 주요 최종 용도로 부상하여 46.65%의 매출 점유율을 차지했으며, 예측 기간 동안에도 우위를 유지할 것으로 예측됩니다.
  • 보안 및 모니터링 용도 시장은 2032년 130억 4,000만 달러 규모로 성장할 것으로 예상되며, 예측 기간 내내 우위를 유지할 것으로 예측됩니다.

세계 드론용 AI 시장은 공중에서 사진을 찍는 기본적인 도구에서 실시간으로 데이터를 분석하고, 장애물을 발견하고, 경로를 최적화하고, 스마트한 의사결정을 내리는 완전 자율 시스템으로 빠르게 변화하고 있습니다. 전 세계 정부, 특히 미국과 아시아에서는 국방 분야에 많은 자금을 투입하고 있습니다. AI 탑재 드론은 감시, 정찰, 정밀 작전에 활용되고 있으며, 현대 전쟁과 국가 안보에 얼마나 중요한지 보여주고 있습니다. 동시에 기업들은 농업, 물류, 건설, 에너지, 환경 모니터링 등의 분야에서 드론의 AI 활용을 점점 더 많이 늘리고 있습니다. 이러한 드론은 업무의 효율성을 높이고, 비용을 절감하며, 기업에 더 많은 정보를 제공합니다.

시장에서 가장 중요한 트렌드 중 일부는 국방 시스템에서 AI 활용, 비즈니스 및 산업에서 AI의 급속한 성장, 자율 내비게이션 및 적응형 학습의 지속적인 개선입니다. 세계은행에 따르면 2020년 4월부터 2022년 12월까지 디지털 솔루션에 투자하는 기업의 비율은 중소기업의 경우 10%에서 20%로 두 배로 증가했고, 대기업의 경우 20%에서 60%로 세 배로 증가했습니다. 전 세계적으로 디지털화가 가속화되면서 세계 시장 성장의 촉매제가 되고 있습니다. 업계 리더들은 항공 안전 및 데이터 프라이버시 규칙을 준수하면서 연구 개발에 투자하고, 전략적 파트너십을 형성하고, 더 많은 시장에 진출하기 위해 제품 라인에 신제품을 추가하고 있습니다. 유명 방위산업체들과 새로운 유연성 있는 기업들이 경쟁 구도를 형성하고 있습니다. 이를 통해 자율성, 경제성 및 부문별 솔루션의 혁신을 촉진할 수 있습니다.

KBV Cardinal matrix- 드론 시장 경쟁 분석

KBV Cardinal matrix에서 제시된 분석에 따르면, Qualcomm Incorporated는 드론의 AI 시장 선구자입니다. 2025년 2월, Qualcomm Incorporated는 로봇공학, 핸드헬드, 드론 등 산업용 AI 시장 진출을 목표로 새로운 브랜드 'Dragonwing'을 발표했습니다. 엣지 AI와 자동화를 타겟으로 하는 드래곤윙은 에너지, 제조, 통신 등의 산업에서 저전력 컴퓨팅을 지원합니다. 이러한 움직임은 퀄컴이 모바일 칩에 국한되지 않고 보다 광범위한 엔터프라이즈 및 산업용 AI 용도에 진출하고 있음을 보여줍니다. Northrop Grumman Corporation, AeroVironment, Inc., DroneDeploy, Inc. 등은 드론용 AI 시장의 주요 혁신 기업입니다.

코로나19의 영향 분석

코로나19 팬데믹은 드론용 AI 시장 전체에 악영향을 미쳐 사업 운영과 경제 양면에서 타격을 입혔습니다. 봉쇄와 여행 제한으로 인해 공급망은 혼란에 빠졌고, 센서와 프로세서 등 주요 부품이 부족했습니다. 그 결과, 상업용 드론과 방위 드론 모두 제조 및 납품이 지연되었습니다. 농업, 물류, 건설 등 많은 산업에서 경제의 불확실성과 프로젝트 지연으로 인해 드론 도입이 연기되었습니다. 여행 제한으로 인해 현지 시험과 공동 프로젝트 진행이 어려워지면서 연구개발도 정체되었습니다. 코로나19 대응을 위한 예산 재분배로 인해 드론 관련 프로젝트에 대한 자금 지원은 더욱 줄어들었습니다.

시장 점유율 분석

유형별 전망

유형별로 보면, 시장은 스테이션 기반과 클라우드 기반으로 분류됩니다. 클라우드 기반 부문은 2024년 시장 매출의 45%를 차지했습니다. 이러한 시스템을 통해 드론은 클라우드 플랫폼을 통해 대량의 데이터를 실시간으로 처리할 수 있으며, 더 높은 수준의 분석, AI를 활용한 통찰력, 그리고 여러 거점에 걸친 협업이 가능해집니다. 클라우드 기반 드론의 AI는 유연성, 접근성, 다른 디지털 시스템과의 통합이 중요한 시나리오에서 특히 효과적입니다.

컴포넌트 전망

구성 요소에 따라 시장은 하드웨어, 소프트웨어, 서비스로 분류됩니다. 이 컴포넌트는 AI 기반 드론의 지능의 기반이 되며, 자율비행, 장애물 감지, 실시간 데이터 처리, 예측 분석과 같은 기능의 원동력이 됩니다. 소프트웨어 개발에는 드론이 의사결정을 내리고 변화하는 환경에 적응할 수 있는 AI 알고리즘, 머신러닝 모델, 제어 시스템 개발이 포함됩니다.

지역 전망

지역별로는 북미, 유럽, 아시아태평양, LAMEA 등 드론의 AI 시장을 분석했습니다. 북미 부문은 2024년 시장에서 36%의 매출 점유율을 기록했습니다. 북미는 군사, 자율 감시, 정밀 공격 능력의 현대화에 대한 대규모 투자로 드론용 AI 시장을 선도하고 있습니다. 미국은 강력한 정부 프로그램을 가지고 있고, 많은 국방 장비를 구매하고, 물류, 농업, 인프라 검사 등의 분야에서 AI 탑재 드론을 빠르게 채택하고 있기 때문에 선두를 달리고 있습니다. 유럽도 EU의 국방 프로젝트, 엄격한 규정, 강력한 산업 응용 덕분에 중요한 지역이 되고 있습니다. 독일, 프랑스, 영국은 모두 국방, 스마트시티 감시, 에너지 프로젝트에서 더 많은 드론에 AI를 사용할 수 있도록 노력하고 있습니다. 그들은 데이터 보안, 프라이버시, 국경 간 표준에 중점을 두어 기업과 일반인 모두가 안전하게 드론을 사용할 수 있도록 하고 있습니다.

아시아태평양은 중국, 인도, 일본, 한국의 드론 구매, 5G 도입, 앱의 AI 활용에 대한 막대한 투자로 인해 가장 빠르게 성장하고 있습니다. 각국 정부는 스마트 인프라, 국경 감시, 농업 자동화에 드론 활용을 추진하고 있습니다. 동시에 현지 OEM 기업과 스타트업 기업들은 지역의 요구를 충족시키기 위해 저렴한 비용으로 새로운 아이디어를 창출하고 있습니다. 또한, LAMEA(라틴아메리카, 중동, 아프리카 연합)는 주로 보안 업무, 석유 및 가스 감시, 농업 분야에서 새로운 기회를 개척하고 있습니다. 이 분야는 다른 분야보다 인프라나 규제가 덜 발달되어 있지만, 정부 지원으로 인한 연결성 및 국방 프로그램의 확대로 인해 드론의 AI 시장 진입이 용이해지고 있습니다. 또한, 사우디아라비아, UAE 등 LAMEA 국가들은 인프라 프로젝트에 많은 투자를 하며 스마트시티를 개발하고 있습니다. 예를 들어, UAE 경제부에 따르면 스마트시티 및 인공지능 계획(2018-2022년) 및 UAE 국가 스마트 모빌리티 전략(국가 인공지능 전략 2031)은 2031년까지 UAE를 국제적인 인공지능 선두주자로 자리매김하는 것을 목표로 하고 있습니다. 목표로 하고 있습니다. 이러한 인프라는 이 지역 시장 성장을 가속하고 있습니다.

시장 경쟁과 특성

드론용 AI 시장에서의 경쟁은 여전히 치열하며, 많은 스타트업, 중견기업, 틈새 혁신가들이 자율비행, 감시, 농업, 배송 솔루션 등의 분야에서 적극적으로 사업 기회를 모색하고 있습니다. 이들 기업은 비용, 사용자 정의, AI 활용 능력, 혁신, 파트너십, 그리고 진화하는 산업 수요와 규제에 대한 빠른 적응력을 통해 차별화를 꾀하고 있습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 시장 동향 - 드론용 AI 시장

제5장 경쟁 현황 - 드론용 AI 시장

제6장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 전개
    • 파트너십, 협업 및 계약
    • 제품 발매와 제품 확대
    • 인수와 합병
  • 시장 점유율 분석(2024년)
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 움직임
  • Porter의 Five Forces 분석

제7장 드론용 AI 밸류체인 분석

제8장 제품수명주기(PLC)- 드론용 AI 시장

제9장 시장 통합 - 드론용 AI 시장

제10장 드론용 AI 시장 주요 고객 기준

제11장 세계의 드론용 AI 시장 : 유형별

  • 세계의 스테이션 기반 시장 : 지역별
  • 세계의 클라우드 기반 시장 : 지역별

제12장 세계의 드론용 AI 시장 : 컴포넌트별

  • 세계의 하드웨어 시장 : 지역별
  • 세계의 소프트웨어 시장 : 지역별
  • 세계의 서비스 시장 : 지역별

제13장 세계의 드론용 AI 시장 : 최종 용도별

  • 세계의 군 시장 : 지역별
  • 세계의 상업 시장 : 지역별
  • 세계의 정부 시장 : 지역별

제14장 세계의 드론용 AI 시장 : 용도별

  • 세계의 보안 및 감시 시장 : 지역별
  • 세계의 농업 시장 : 지역별
  • 세계의 건설 시장 : 지역별
  • 세계의 수색 구조 시장 : 지역별
  • 세계의 소매 시장 : 지역별
  • 세계의 기타 용도 시장 : 지역별

제15장 세계의 드론용 AI 시장 : 지역별

  • 북미
  • 시장에 영향을 미치는 열쇠
    • 북미의 드론용 AI 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
  • 시장에 영향을 미치는 열쇠
    • 유럽의 드론용 AI 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
  • 시장에 영향을 미치는 열쇠
    • 아시아태평양의 드론용 AI 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카/중동 및 아프리카
  • 시장에 영향을 미치는 열쇠
    • 라틴아메리카/중동 및 아프리카의 드론용 AI 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트(UAE)
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카/중동 및 아프리카

제16장 기업 개요

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

제17장 드론용 AI 시장을 위한 성공 필수 조건

LSH 25.09.24

The Global AI In Drone Market size is expected to reach USD 41.02 billion by 2032, rising at a market growth of 17.4% CAGR during the forecast period.

Key Highlights:

  • The North America market dominated Global AI In Drone Market in 2024, accounting for a 36.00% revenue share in 2024.
  • The U.S. market is projected to maintain its leadership in North America, reaching a market size of USD 10.37 billion by 2032.
  • Among the various Type, the Station Based segment dominated the global market, contributing a revenue share of 54.11% in 2024.
  • In terms of Component, Hardware segment is expected to lead the global market, with a projected revenue share of 45.48% by 2032.
  • The Military segment emerged as the leading End Use in 2024, capturing a 46.65% revenue share, and is projected to retain its dominance during the forecast period.
  • The Security & Surveillance Market in Application is poised to grow at the market in 2032 with a market size of USD 13.04 billion and is projected to maintain its dominant position throughout the forecast period.

The global AI drone market has quickly changed from basic tools for taking pictures from the air to fullyautonomous systems that can real time analyze data, find obstacles, optimize routes, and make smart decisions. Governments all over the world, especially in the U.S. and Asia, are spending a lot of money on defense applications. They are using AI-powered drones for surveillance, reconnaissance, and precision operations, which shows how important they are for modern warfare and national security. At the same time, businesses are using AI drones more and more in agriculture, logistics, construction, energy, and environmental monitoring. These drones make things more efficient, lower costs, and give businesses more information.

Some of the most important trends in the market are the use of AI in defense systems, the quick growth of AI in business and industry, and the ongoing improvements in autonomous navigation and adaptive learning. As per the World Bank, from April 2020 to December 2022, the percentage of firms investing in digital solutions doubled from 10% to 20% for microfirms but 3x from 20% to 60% for large. The rising digitalization across sectors ais a catalyst in the growth of the market globally. Industry leaders are investing in research and development, forming strategic partnerships, and adding new products to their lines to reach more markets, all while following aviation safety and data privacy rules. Both well-known defense contractors and new, flexible companies are shaping the competitive landscape. This drives innovation in autonomy, affordability, and solutions that are specific to a sector.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2025, AeroVironment, Inc. unveiled the Red Dragon, an AI-powered autonomous UAS for GPS-denied combat zones, and Titan 4, an advanced AI/ML-based counter-drone system. The company also expanded its partnership with the Dutch Ministry of Defence, modernizing Puma drones for enhanced autonomous operations, reinforcing AV's leadership in AI-driven defense drone technology. Additionally, In June, 2025, SZ DJI Technology Co., Ltd. unveiled the FlyCart 100, a heavy-lift drone with an 80kg payload, advanced safety systems, and AI-powered obstacle avoidance. Designed for cargo logistics, emergency response, and industrial tasks, it features LiDAR, radar, and AR integration, redefining aerial delivery with extended range, efficiency, and rugged performance in harsh environments.

KBV Cardinal Matrix - AI In Drone Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Qualcomm Incorporated is the forerunner in the AI In Drone Market. In February, 2025, Qualcomm Incorporated unveiled its new Dragonwing brand to expand into industrial AI markets like robotics, handhelds, and drones. Targeting edge AI and automation, Dragonwing supports low-power computing for industries such as energy, manufacturing, and telecom. The move highlights Qualcomm's push beyond mobile chips into broader enterprise and industrial AI applications. Companies such as Northrop Grumman Corporation, AeroVironment, Inc., and DroneDeploy, Inc. are some of the key innovators in AI In Drone Market.

COVID 19 Impact Analysis

The COVID-19 pandemic had a negative impact on the global AI in drone market, causing both operational and economic setbacks. Lockdowns and travel restrictions disrupted supply chains, creating shortages of key components like sensors and processors, which delayed manufacturing and deliveries for both commercial and defense drones. Many industries, including agriculture, logistics, and construction, postponed drone adoption due to economic uncertainty and project delays. Research and development also slowed as travel restrictions hindered on-site testing and collaborative projects. Budget reallocations toward pandemic response further reduced funding for drone initiatives.

Market Share Analysis

Type Outlook

Based on Type, the market is segmented into Station Based and Cloud Based. The Cloud Based segment witnessed 45% revenue share in the market in 2024. These systems allow drones to process large volumes of data in real time through cloud platforms, enabling more sophisticated analytics, AI-driven insights, and collaborative operations across multiple locations. Cloud Based AI drones are particularly effective in scenarios where flexibility, accessibility, and integration with other digital systems are important.

Component Outlook

Based on Component, the market is segmented into Hardware, Software, and Services. This component forms the backbone of intelligence for AI-powered drones, driving capabilities such as autonomous navigation, obstacle detection, real-time data processing, and predictive analytics. Software development includes the creation of AI algorithms, machine learning models, and control systems that enable drones to make decisions and adapt to changing environments.

Regional Outlook

Region-wise, the AI In Drone Market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 36% revenue share in the market in 2024. North America is the leader in the AI drone market because of big investments in modernizing the military, autonomous surveillance, and precision strike capabilities. The U.S. is in the lead because it has strong government programs, buys a lot of defense equipment, and quickly adopts AI-powered drones in fields like logistics, agriculture, and infrastructure inspection. Europe is also becoming an important area, thanks to EU defense projects, strict rules, and strong industrial uses. Germany, France, and the UK are all working to get more AI drones into use in defense, smart city monitoring, and energy projects. They are focusing on data security, privacy, and cross-border standards to make sure that the drones can be safely used by both businesses and the public.

The Asia-Pacific region is growing the fastest, thanks to huge investments in buying drones, integrating 5G, and using AI in apps in China, India, Japan, and South Korea. Governments are pushing for drones to be used for smart infrastructure, border surveillance, and automating farming. At the same time, local OEMs and startups are coming up with cheap new ideas to meet the needs of their regions. At the same time, LAMEA are opening up new opportunities, mostly in security operations, oil and gas monitoring, and agriculture. Infrastructure and rules are not as advanced in these areas as they are in others, but more government-funded connectivity and defense programs are making it easier for AI drones to enter these markets. Furthermore, Countries in LAMEA such as Saudi Arabia and UAE are heavily investing in the infrastructure project and developing smart cities, for instance, as per the UAE Ministry of Economy, the Smart Cities & Artificial Intelligence Plan (2018-2022) and The National Smart Mobility Strategy of the UAE, also known as the National Artificial Intelligence Strategy 2031, endeavours to establish the UAE as a frontrunner in artificial intelligence internationally by 2031. These infrastructure are driving the growth of the market in the region.

Market Competition and Attributes

Competition in the AI in drone market remains high as numerous startups, mid-sized firms, and niche innovators aggressively pursue opportunities in areas like autonomous navigation, surveillance, agriculture, and delivery solutions. These companies compete on cost, customization, and advanced AI-driven features, striving to differentiate through innovation, partnerships, and rapid adaptability to evolving industry demands and regulations.

Recent Strategies Deployed in the Market

  • Jun-2025: DroneDeploy, Inc. teamed up with Point One Navigation, a software company to deliver centimeter-accurate drone data through Polaris RTK corrections. With over 70,000 RTK-enabled flights, this collaboration enhances precision in aerial mapping and 3D modeling, supporting industries like construction and energy through seamless, AI-powered reality capture and high-accuracy spatial data.
  • Jun-2025: Parrot Drones SAS announced the partnership with DroneSense, a software company to launch the ANAFI UKR GOV micro-UAV, a secure, NDAA-compliant drone solution for U.S. public safety. Combining Parrot's AI-enhanced, Blue UAS-approved hardware with DroneSense's mission-ready software, the platform enables encrypted communications, autonomous navigation, thermal imaging, and real-time situational awareness for complex tactical and emergency operations.
  • May-2025: DroneDeploy, Inc. teamed up with FlytBase, a software company to integrate autonomous drone dock operations with reality capture, streamlining end-to-end workflows. This collaboration allows automated data uploads from FlytBase to DroneDeploy for AI-powered 3D mapping. The goal is to simplify BVLOS operations and enhance efficiency in industries like construction, inspection, and public safety.
  • May-2025: Northrop Grumman Corporation unveiled AiON, a new AI-enabled counter-UAS system capable of managing large-scale drone threats (Groups 1-4). Featuring AI-powered decision aids, it supports multi-site control, integrates with U.S. military systems, and accommodates third-party sensors and algorithms, offering flexible deployment across various platforms, including tablets.
  • Feb-2025: DroneDeploy, Inc. teamed up with the GEODNET Foundation, a Web3 Blockchain-based network to provide enterprise RTK services via GEODNET's 10,000+ station network. This collaboration enables precise drone-based reality capture for sectors like construction and energy, enhancing AI-powered automation through accurate geolocation and supporting expansion of decentralized infrastructure in drone and robotics workflows.

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

Global AI In Drone 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 Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • 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 Global AI In Drone Market, by Type
    • 1.4.2 Global AI In Drone Market, by Component
    • 1.4.3 Global AI In Drone Market, by End Use
    • 1.4.4 Global AI In Drone Market, by Application
    • 1.4.5 Global AI In Drone Market, by Geography
  • 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 Factors 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 - AI In Drone Market

Chapter 5. State of Competition - AI In Drone Market

Chapter 6. Competition Analysis - Global

  • 6.1 KBV 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 Market

Chapter 8. Product Life Cycle (PLC) - AI In Drone Market

Chapter 9. Market Consolidation - AI In Drone Market

Chapter 10. Key Customer Criteria - AI In Drone Market

Chapter 11. Global AI In Drone Market by Type

  • 11.1 Global Station Based Market by Region
  • 11.2 Global Cloud Based Market by Region

Chapter 12. Global AI In Drone Market by Component

  • 12.1 Global Hardware Market by Region
  • 12.2 Global Software Market by Region
  • 12.3 Global Services Market by Region

Chapter 13. Global AI In Drone Market by End Use

  • 13.1 Global Military Market by Region
  • 13.2 Global Commercial Market by Region
  • 13.3 Global Government Market by Region

Chapter 14. Global AI In Drone Market by Application

  • 14.1 Global Security & Surveillance Market by Region
  • 14.2 Global Agriculture Market by Region
  • 14.3 Global Construction Market by Region
  • 14.4 Global Search & Rescue Market by Region
  • 14.5 Global Retail Market by Region
  • 14.6 Global Other Application Market by Region

Chapter 15. Global AI In Drone Market by Region

  • 15.1 North America AI In Drone Market
  • 15.2 Key impacting the Market
    • 15.2.1 Market Drivers
    • 15.2.2 Market Restraints
    • 15.2.3 Market Opportunities
    • 15.2.4 Market Challenges
    • 15.2.5 Market Trends - North America AI In Drone Market
    • 15.2.6 State of Competition - North America AI In Drone Market
    • 15.2.7 North America AI In Drone Market by Type
      • 15.2.7.1 North America Station Based Market by Country
      • 15.2.7.2 North America Cloud Based Market by Country
    • 15.2.8 North America AI In Drone Market by Component
      • 15.2.8.1 North America Hardware Market by Country
      • 15.2.8.2 North America Software Market by Country
      • 15.2.8.3 North America Services Market by Country
    • 15.2.9 North America AI In Drone Market by End Use
      • 15.2.9.1 North America Military Market by Country
      • 15.2.9.2 North America Commercial Market by Country
      • 15.2.9.3 North America Government Market by Country
    • 15.2.10 North America AI In Drone Market by Application
      • 15.2.10.1 North America Security & Surveillance Market by Country
      • 15.2.10.2 North America Agriculture Market by Country
      • 15.2.10.3 North America Construction Market by Country
      • 15.2.10.4 North America Search & Rescue Market by Country
      • 15.2.10.5 North America Retail Market by Country
      • 15.2.10.6 North America Other Application Market by Country
    • 15.2.11 North America AI In Drone Market by Country
      • 15.2.11.1 US AI In Drone Market
        • 15.2.11.1.1 US AI In Drone Market by Type
        • 15.2.11.1.2 US AI In Drone Market by Component
        • 15.2.11.1.3 US AI In Drone Market by End Use
        • 15.2.11.1.4 US AI In Drone Market by Application
      • 15.2.11.2 Canada AI In Drone Market
        • 15.2.11.2.1 Canada AI In Drone Market by Type
        • 15.2.11.2.2 Canada AI In Drone Market by Component
        • 15.2.11.2.3 Canada AI In Drone Market by End Use
        • 15.2.11.2.4 Canada AI In Drone Market by Application
      • 15.2.11.3 Mexico AI In Drone Market
        • 15.2.11.3.1 Mexico AI In Drone Market by Type
        • 15.2.11.3.2 Mexico AI In Drone Market by Component
        • 15.2.11.3.3 Mexico AI In Drone Market by End Use
        • 15.2.11.3.4 Mexico AI In Drone Market by Application
      • 15.2.11.4 Rest of North America AI In Drone Market
        • 15.2.11.4.1 Rest of North America AI In Drone Market by Type
        • 15.2.11.4.2 Rest of North America AI In Drone Market by Component
        • 15.2.11.4.3 Rest of North America AI In Drone Market by End Use
        • 15.2.11.4.4 Rest of North America AI In Drone Market by Application
  • 15.3 Europe AI In Drone Market
  • 15.4 Key impacting the Market
    • 15.4.1 Market Drivers
    • 15.4.2 Market Restraints
    • 15.4.3 Market Opportunities
    • 15.4.4 Market Challenges
    • 15.4.5 Market Trends - Europe AI In Drone Market
    • 15.4.6 State of Competition - Europe AI In Drone Market
    • 15.4.7 Europe AI In Drone Market by Type
      • 15.4.7.1 Europe Station Based Market by Country
      • 15.4.7.2 Europe Cloud Based Market by Country
    • 15.4.8 Europe AI In Drone Market by Component
      • 15.4.8.1 Europe Hardware Market by Country
      • 15.4.8.2 Europe Software Market by Country
      • 15.4.8.3 Europe Services Market by Country
    • 15.4.9 Europe AI In Drone Market by End Use
      • 15.4.9.1 Europe Military Market by Country
      • 15.4.9.2 Europe Commercial Market by Country
      • 15.4.9.3 Europe Government Market by Country
    • 15.4.10 Europe AI In Drone Market by Application
      • 15.4.10.1 Europe Security & Surveillance Market by Country
      • 15.4.10.2 Europe Agriculture Market by Country
      • 15.4.10.3 Europe Construction Market by Country
      • 15.4.10.4 Europe Search & Rescue Market by Country
      • 15.4.10.5 Europe Retail Market by Country
      • 15.4.10.6 Europe Other Application Market by Country
    • 15.4.11 Europe AI In Drone Market by Country
      • 15.4.11.1 Germany AI In Drone Market
        • 15.4.11.1.1 Germany AI In Drone Market by Type
        • 15.4.11.1.2 Germany AI In Drone Market by Component
        • 15.4.11.1.3 Germany AI In Drone Market by End Use
        • 15.4.11.1.4 Germany AI In Drone Market by Application
      • 15.4.11.2 UK AI In Drone Market
        • 15.4.11.2.1 UK AI In Drone Market by Type
        • 15.4.11.2.2 UK AI In Drone Market by Component
        • 15.4.11.2.3 UK AI In Drone Market by End Use
        • 15.4.11.2.4 UK AI In Drone Market by Application
      • 15.4.11.3 France AI In Drone Market
        • 15.4.11.3.1 France AI In Drone Market by Type
        • 15.4.11.3.2 France AI In Drone Market by Component
        • 15.4.11.3.3 France AI In Drone Market by End Use
        • 15.4.11.3.4 France AI In Drone Market by Application
      • 15.4.11.4 Russia AI In Drone Market
        • 15.4.11.4.1 Russia AI In Drone Market by Type
        • 15.4.11.4.2 Russia AI In Drone Market by Component
        • 15.4.11.4.3 Russia AI In Drone Market by End Use
        • 15.4.11.4.4 Russia AI In Drone Market by Application
      • 15.4.11.5 Spain AI In Drone Market
        • 15.4.11.5.1 Spain AI In Drone Market by Type
        • 15.4.11.5.2 Spain AI In Drone Market by Component
        • 15.4.11.5.3 Spain AI In Drone Market by End Use
        • 15.4.11.5.4 Spain AI In Drone Market by Application
      • 15.4.11.6 Italy AI In Drone Market
        • 15.4.11.6.1 Italy AI In Drone Market by Type
        • 15.4.11.6.2 Italy AI In Drone Market by Component
        • 15.4.11.6.3 Italy AI In Drone Market by End Use
        • 15.4.11.6.4 Italy AI In Drone Market by Application
      • 15.4.11.7 Rest of Europe AI In Drone Market
        • 15.4.11.7.1 Rest of Europe AI In Drone Market by Type
        • 15.4.11.7.2 Rest of Europe AI In Drone Market by Component
        • 15.4.11.7.3 Rest of Europe AI In Drone Market by End Use
        • 15.4.11.7.4 Rest of Europe AI In Drone Market by Application
  • 15.5 Asia Pacific AI In Drone Market
  • 15.6 Key impacting the Market
    • 15.6.1 Market Drivers
    • 15.6.2 Market Restraints
    • 15.6.3 Market Opportunities
    • 15.6.4 Market Challenges
    • 15.6.5 Market Trends - Asia Pacific AI In Drone Market
    • 15.6.6 State of Competition - Asia Pacific AI In Drone Market
    • 15.6.7 Asia Pacific AI In Drone Market by Type
      • 15.6.7.1 Asia Pacific Station Based Market by Country
      • 15.6.7.2 Asia Pacific Cloud Based Market by Country
    • 15.6.8 Asia Pacific AI In Drone Market by Component
      • 15.6.8.1 Asia Pacific Hardware Market by Country
      • 15.6.8.2 Asia Pacific Software Market by Country
      • 15.6.8.3 Asia Pacific Services Market by Country
    • 15.6.9 Asia Pacific AI In Drone Market by End Use
      • 15.6.9.1 Asia Pacific Military Market by Country
      • 15.6.9.2 Asia Pacific Commercial Market by Country
      • 15.6.9.3 Asia Pacific Government Market by Country
    • 15.6.10 Asia Pacific AI In Drone Market by Application
      • 15.6.10.1 Asia Pacific Security & Surveillance Market by Country
      • 15.6.10.2 Asia Pacific Agriculture Market by Country
      • 15.6.10.3 Asia Pacific Construction Market by Country
      • 15.6.10.4 Asia Pacific Search & Rescue Market by Country
      • 15.6.10.5 Asia Pacific Retail Market by Country
      • 15.6.10.6 Asia Pacific Other Application Market by Country
    • 15.6.11 Asia Pacific AI In Drone Market by Country
      • 15.6.11.1 China AI In Drone Market
        • 15.6.11.1.1 China AI In Drone Market by Type
        • 15.6.11.1.2 China AI In Drone Market by Component
        • 15.6.11.1.3 China AI In Drone Market by End Use
        • 15.6.11.1.4 China AI In Drone Market by Application
      • 15.6.11.2 Japan AI In Drone Market
        • 15.6.11.2.1 Japan AI In Drone Market by Type
        • 15.6.11.2.2 Japan AI In Drone Market by Component
        • 15.6.11.2.3 Japan AI In Drone Market by End Use
        • 15.6.11.2.4 Japan AI In Drone Market by Application
      • 15.6.11.3 India AI In Drone Market
        • 15.6.11.3.1 India AI In Drone Market by Type
        • 15.6.11.3.2 India AI In Drone Market by Component
        • 15.6.11.3.3 India AI In Drone Market by End Use
        • 15.6.11.3.4 India AI In Drone Market by Application
      • 15.6.11.4 South Korea AI In Drone Market
        • 15.6.11.4.1 South Korea AI In Drone Market by Type
        • 15.6.11.4.2 South Korea AI In Drone Market by Component
        • 15.6.11.4.3 South Korea AI In Drone Market by End Use
        • 15.6.11.4.4 South Korea AI In Drone Market by Application
      • 15.6.11.5 Singapore AI In Drone Market
        • 15.6.11.5.1 Singapore AI In Drone Market by Type
        • 15.6.11.5.2 Singapore AI In Drone Market by Component
        • 15.6.11.5.3 Singapore AI In Drone Market by End Use
        • 15.6.11.5.4 Singapore AI In Drone Market by Application
      • 15.6.11.6 Malaysia AI In Drone Market
        • 15.6.11.6.1 Malaysia AI In Drone Market by Type
        • 15.6.11.6.2 Malaysia AI In Drone Market by Component
        • 15.6.11.6.3 Malaysia AI In Drone Market by End Use
        • 15.6.11.6.4 Malaysia AI In Drone Market by Application
      • 15.6.11.7 Rest of Asia Pacific AI In Drone Market
        • 15.6.11.7.1 Rest of Asia Pacific AI In Drone Market by Type
        • 15.6.11.7.2 Rest of Asia Pacific AI In Drone Market by Component
        • 15.6.11.7.3 Rest of Asia Pacific AI In Drone Market by End Use
        • 15.6.11.7.4 Rest of Asia Pacific AI In Drone Market by Application
  • 15.7 LAMEA AI In Drone Market
  • 15.8 Key impacting the market
    • 15.8.1 Market Drivers
    • 15.8.2 Market Restraints
    • 15.8.3 Market Opportunities
    • 15.8.4 Market Challenges
    • 15.8.5 Market Trends - LAMEA AI In Drone Market
    • 15.8.6 State of Competition - LAMEA AI In Drone Market
    • 15.8.7 LAMEA AI In Drone Market by Type
      • 15.8.7.1 LAMEA Station Based Market by Country
      • 15.8.7.2 LAMEA Cloud Based Market by Country
    • 15.8.8 LAMEA AI In Drone Market by Component
      • 15.8.8.1 LAMEA Hardware Market by Country
      • 15.8.8.2 LAMEA Software Market by Country
      • 15.8.8.3 LAMEA Services Market by Country
    • 15.8.9 LAMEA AI In Drone Market by End Use
      • 15.8.9.1 LAMEA Military Market by Country
      • 15.8.9.2 LAMEA Commercial Market by Country
      • 15.8.9.3 LAMEA Government Market by Country
    • 15.8.10 LAMEA AI In Drone Market by Application
      • 15.8.10.1 LAMEA Security & Surveillance Market by Country
      • 15.8.10.2 LAMEA Agriculture Market by Country
      • 15.8.10.3 LAMEA Construction Market by Country
      • 15.8.10.4 LAMEA Search & Rescue Market by Country
      • 15.8.10.5 LAMEA Retail Market by Country
      • 15.8.10.6 LAMEA Other Application Market by Country
    • 15.8.11 LAMEA AI In Drone Market by Country
      • 15.8.11.1 Brazil AI In Drone Market
        • 15.8.11.1.1 Brazil AI In Drone Market by Type
        • 15.8.11.1.2 Brazil AI In Drone Market by Component
        • 15.8.11.1.3 Brazil AI In Drone Market by End Use
        • 15.8.11.1.4 Brazil AI In Drone Market by Application
      • 15.8.11.2 Argentina AI In Drone Market
        • 15.8.11.2.1 Argentina AI In Drone Market by Type
        • 15.8.11.2.2 Argentina AI In Drone Market by Component
        • 15.8.11.2.3 Argentina AI In Drone Market by End Use
        • 15.8.11.2.4 Argentina AI In Drone Market by Application
      • 15.8.11.3 UAE AI In Drone Market
        • 15.8.11.3.1 UAE AI In Drone Market by Type
        • 15.8.11.3.2 UAE AI In Drone Market by Component
        • 15.8.11.3.3 UAE AI In Drone Market by End Use
        • 15.8.11.3.4 UAE AI In Drone Market by Application
      • 15.8.11.4 Saudi Arabia AI In Drone Market
        • 15.8.11.4.1 Saudi Arabia AI In Drone Market by Type
        • 15.8.11.4.2 Saudi Arabia AI In Drone Market by Component
        • 15.8.11.4.3 Saudi Arabia AI In Drone Market by End Use
        • 15.8.11.4.4 Saudi Arabia AI In Drone Market by Application
      • 15.8.11.5 South Africa AI In Drone Market
        • 15.8.11.5.1 South Africa AI In Drone Market by Type
        • 15.8.11.5.2 South Africa AI In Drone Market by Component
        • 15.8.11.5.3 South Africa AI In Drone Market by End Use
        • 15.8.11.5.4 South Africa AI In Drone Market by Application
      • 15.8.11.6 Nigeria AI In Drone Market
        • 15.8.11.6.1 Nigeria AI In Drone Market by Type
        • 15.8.11.6.2 Nigeria AI In Drone Market by Component
        • 15.8.11.6.3 Nigeria AI In Drone Market by End Use
        • 15.8.11.6.4 Nigeria AI In Drone Market by Application
      • 15.8.11.7 Rest of LAMEA AI In Drone Market
        • 15.8.11.7.1 Rest of LAMEA AI In Drone Market by Type
        • 15.8.11.7.2 Rest of LAMEA AI In Drone Market by Component
        • 15.8.11.7.3 Rest of LAMEA AI In Drone Market by End Use
        • 15.8.11.7.4 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

Chapter 17. Winning Imperatives of AI In Drone Market

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