세계의 드론 인공지능(AI) 시장 : 솔루션별, 최종사용자별, 기능별, 기술별, 지역별 - 예측(-2030년)
Artificial Intelligence (AI) in Drones Market by Solution (Infrastructure, Software, Services), Function (Flight Operations, Maintenance, Ground Control, Asset Health, Simulation, Revenue Optimization), End User, Technology - Global Forecast to 2030
상품코드:1771339
리서치사:MarketsandMarkets
발행일:2025년 07월
페이지 정보:영문 280 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
드론 인공지능(AI) 시장 규모는 2025년에 8억 2,130만 달러로 추정됩니다.
예측 기간 동안 CAGR은 27.4%로 예상되며, 2030년에는 27억 5,190만 달러에 달할 것으로 예측됩니다. 기술 발전과 시장 환경의 변화가 시장의 주요 촉진요인입니다.
조사 범위
조사 대상 연도
2021-2030년
기준 연도
2024년
예측 기간
2025-2030년
검토 단위
금액(100만 달러)
부문별
솔루션별, 최종사용자별, 기능별, 기술별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 기타 지역
예측 기간 동안 서비스 부문이 가장 높은 CAGR을 달성할 것으로 예측됩니다. 이러한 성장은 드론 하드웨어 및 소프트웨어, 시스템 통합, 교육, 예지보전, 데이터 분석, 클라우드 배포 등 필수 서비스를 포함한 엔드투엔드 솔루션에 대한 수요 증가에 기인합니다. 초기 비용을 절감하기 위해 기업 및 정부 기관은 서비스형 드론(DaaS) 및 맞춤형 AI 모델 개발과 같은 서비스 기반 접근방식으로 눈을 돌리고 있습니다. 또한, AI 모델 배포, 엣지-클라우드 간 배포, 규제 요건의 복잡성으로 인해 지속적인 지원이 필요하며, 성공적인 운영을 위해서는 서비스가 필수적입니다. 특히 물류, 농업, 국방 등 역동적인 분야에서 확장성, 유연성, 안전성을 갖춘 AI 기반 드론 운용에 대한 수요가 증가하면서 서비스 중심의 성장을 더욱 촉진하고 있습니다. 기업이 성과 기반 배치를 지향하는 가운데, AI를 활용한 서비스는 임무 계획부터 자동 분석에 이르기까지 광범위하게 적용되어 지속 가능한 도입의 기반이 되고 있습니다.
생성형 AI 부문은 시뮬레이션, 임무 계획, 적응형 의사결정에 혁명을 일으킬 수 있는 생성형 AI의 잠재력으로 인해 예측 기간 동안 가장 높은 CAGR을 달성할 것으로 예측됩니다. 생성 모델은 새로운 데이터를 생성하고, 실제 시나리오를 재현하고, 시나리오의 변화에 따라 적응적으로 재학습하기 때문에 기존 AI와 차별화됩니다. 드론 용도에서 생성형 AI는 가상 샌드박스 임무, 훈련을 위한 합성 데이터 생성, 군집 시뮬레이션, 재난 대응, 도시 물류 배송, 전장 정찰과 같은 고위험-고복잡도 임무에 필수적인 자율 경로 재계산 기능에 사용되고 있습니다. 또한, 생성형 AI는 라벨링된 데이터에 대한 의존도를 크게 줄여 AI 모델 개발 및 출시를 가속화합니다. 드론 함대의 자율성과 배치가 진행됨에 따라 안정적이고 탄력적이며 적응력 있고 지능적인 의사 결정에 대한 생성형 AI의 기여도는 몇 배로 증가할 것입니다. 디지털 트윈 기술, 시뮬레이션 기반 훈련, AI 부조종사 시스템에 대한 투자도 예측 기간 동안 가장 빠르게 성장할 기술로 생성형 AI를 끌어들이는 원동력이 되고 있습니다.
북미는 2025년 가장 큰 시장 점유율을 차지할 것으로 예측됩니다. 이 지역의 성장은 잘 구축된 항공 생태계, 첨단 추진 기술의 조기 도입, 드론 혁신에 대한 강력한 제도적 지원으로 인한 것입니다. 또한, 북미의 국경 보안, 국토 안보, 산불 감시 분야에서 드론이 광범위하게 활용되면서 AI 기술의 필요성이 대두되고 있습니다. 탄탄한 테스트 인프라, FAA와 같은 기관의 유리한 규제 지원, 드론 스타트업과 방위산업체들의 활발한 네트워크 덕분에 북미는 AI 지원 드론의 벤치마크를 지속적으로 설정하고 있습니다.
세계의 드론 인공지능(AI) 시장에 대해 조사했으며, 솔루션별/최종사용자별/기능별/기술별/지역별 동향, 시장 진출기업 프로파일 등의 정보를 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 프리미엄 인사이트
제5장 시장 개요
서론
시장 역학
고객의 비즈니스에 영향을 미치는 동향과 혼란
밸류체인 분석
생태계 분석
가격 분석
규제 상황
주요 이해관계자와 구입 기준
기술 분석
사례 연구 분석
2025-2026년 주요 컨퍼런스 및 이벤트
투자 및 자금조달 시나리오
미국 관세 : 2025년
거시경제 전망
총소유비용(TCO)
드론 인공지능(AI) 시장 : 비즈니스 모델
기술 로드맵
기술 동향
메가 트렌드의 영향
공급망 분석
특허 분석
제6장 드론 인공지능(AI) 시장, 솔루션별
서론
인프라
소프트웨어
서비스
제7장 드론 인공지능(AI) 시장, 최종사용자별
서론
군
상업
정부 및 법집행기관
제8장 드론 인공지능(AI) 시장, 기능별
서론
플라이트 및 미션 오퍼레이션
유지관리, 진단 및 자산 건전성
지상 관제 및 플릿 관리
고객 경험 및 서비스 인터페이스
매출 최적화 및 자산 활용
트레이닝, 시뮬레이션, 그리고 인간-기계 팀워크
R&D와 모델 최적화
제9장 드론 인공지능(AI) 시장, 기술별
서론
머신러닝
컴퓨터 비전
자연언어처리
생성형 AI
센서 퓨전 AI
제10장 드론 인공지능(AI) 시장, 지역별
서론
북미
PESTLE 분석
미국
캐나다
아시아태평양
PESTLE 분석
인도
호주
일본
한국
기타
유럽
PESTLE 분석
독일
영국
프랑스
이탈리아
스페인
기타
중동
PESTLE 분석
튀르키예
기타
라틴아메리카 및 아프리카
PESTLE 분석
브라질
멕시코
남아프리카공화국
이집트
기타
제11장 경쟁 구도
서론
주요 시장 진출기업의 전략/강점, 2020년-2025년
매출 분석, 2020년-2025년
시장 점유율 분석, 2024년
기업 평가 매트릭스 : 주요 시장 진출기업, 2024년
기업 평가 매트릭스 : 스타트업/중소기업, 2024년
브랜드/제품 비교
기업 평가와 재무 지표
경쟁 시나리오
제12장 기업 개요
주요 시장 진출기업
DJI
DRONEDEPLOY
TELEDYNE FLIR LLC
SKYDIO, INC.
SHIELD AI
IDEAFORGE TECHNOLOGY LTD.
AEROVIRONMENT, INC.
DAC.DIGITAL
DRAGANFLY INNOVATIONS INC.
PIX4D SA
DEDRONE HOLDINGS INC.
HONEYWELL INTERNATIONAL INC.
QUALCOMM TECHNOLOGIES, INC.
PERCEPTO LTD.
ESRI
기타 기업
PRECISION AI INC.
FLYPIX AI GMBH
SAIWA
ASTERIA.CO.IN.
VOLARIOUS
BRINC DRONES INC.
SKYFIRE AI, INC.
AUTEL ROBOTICS
HYLIO
3DSURVEY
제13장 부록
LSH
영문 목차
영문목차
The artificial intelligence (AI) in drones market is estimated to be USD 821.3 million in 2025. It is projected to reach USD 2751.9 million by 2030 at a CAGR of 27.4% during the forecast period. Technological advancements and changing market conditions are the key drivers of the market.
Scope of the Report
Years Considered for the Study
2021-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
Value (USD Million)
Segments
By Solution, Technology, Function, End User and Region
Regions covered
North America, Europe, APAC, RoW
"By solution, the services segment is projected to achieve the highest growth during the forecast period."
The services segment is projected to achieve the highest CAGR during the forecast period. This growth is due to the rising demand for end-to-end solutions that include drone hardware and software and essential services, such as system integration, training, predictive maintenance, data analysis, and cloud deployment. To reduce initial costs, businesses and government organizations are turning toward service-based approaches, such as Drone-as-a-Service (DaaS) and customized AI model development. Moreover, the intricacy of AI model deployment, edge-to-cloud deployment, and regulatory requirements necessitates ongoing support, and services become critical to operational success. The increasing demand for scalable, flexible, and secure AI-powered drone operations, particularly in dynamic sectors like logistics, agriculture, and defense, further supports the service-driven growth. With enterprises moving toward outcome-based deployments, AI-powered services span mission planning to automated analytics, taking the center stage as the foundation of sustainable adoption.
"By technology, the Generative AI segment is projected to achieve the highest CAGR during the forecast period."
The Generative AI segment is projected to achieve the highest CAGR during the forecast period due to the potential of Gen AI to revolutionize simulation, mission planning, and adaptive decision-making. Generative models distinguish themselves from conventional AI as they generate new data, reproduce real-world scenarios, and retrain themselves adaptively with changing scenarios. In drone applications, Generative AI is used in virtual sandboxing missions, synthetic data generation for training, swarm simulation, and autonomous path recalculation functions integral to high-stakes and high-complexity missions like disaster response, urban logistics delivery, and battlefield reconnaissance. Generative AI also greatly minimizes dependence on labeled data, accelerating the development and release of AI models. With increasing autonomy and distribution of drone fleets, the contribution of generative AI toward assured, resilient, adaptive, and intelligent decision-making rises manifold. Investment in digital twin technology, simulation-based training, and AI co-pilot systems is also driving the inclusion of generative AI as the fastest-growing technology during the forecast period.
"North America is estimated to account for the largest market share in 2025."
North America is estimated to account for the largest market share in 2025. The region's growth is due to its established aviation ecosystem, early adoption of cutting-edge propulsion technologies, and robust institutional support for drone innovation. Additionally, the widespread deployment of drones in North America's border security, homeland security, and wildland fire monitoring generates the need for AI technology. With robust testing infrastructure, favorable regulatory support from bodies like the FAA, and a vibrant network of drone startups and defense contractors, North America continues to set the benchmark for AI-enabled drones.
The break-up of primary participants in the artificial intelligence (AI) in drones market is given below:
By Company Type: Tier 1 - 35%, tier 2 - 45%, and tier 3 - 20%
By Designation: Director Level - 25%, C Level - 35%, Others - 40%
By Region: North America - 30%, Europe - 20%, Asia Pacific - 35%, Middle East - 10%, Rest of World-5%
DJI (China), DroneDeploy (US), Teledyne FLIR LLC (US), Skydio (US), and ShieldAI (US) are the key players in the market. These players offer connectivity applicable to various sectors and have well-equipped and strong distribution networks across North America, Europe, Asia Pacific, the Middle East, and Latin America & Africa.
Research Coverage:
The study covers the artificial intelligence (AI) in drones market across various segments and subsegments. It aims to estimate the size and growth potential of this market across different segments by function, solution, technology, end user, and region. This study also includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to their solutions and business offerings, recent developments undertaken by them, and key market strategies adopted by them.
This report segments the artificial intelligence (AI) in drones market across five key regions: North America, Europe, Asia Pacific, the Middle East, Latin America & Africa. Its scope includes in-depth information on significant factors, such as drivers, restraints, challenges, and opportunities that influence the growth of the artificial intelligence (AI) in drones market.
A comprehensive analysis of major industry players has been conducted to provide insights into their business profiles, solutions, and services. This analysis also covers key aspects like agreements, collaborations, product launches, contracts, expansions, acquisitions, and partnerships associated with the artificial intelligence (AI) in drones market.
Reasons to Buy this Report:
This report serves as a valuable resource for market leaders and newcomers in artificial intelligence (AI) in the drone market, offering data that closely approximates revenue figures for both the overall market and its subsegments. It equips stakeholders with a comprehensive understanding of the competitive landscape, facilitating informed decisions to enhance their market positioning and formulating effective go-to-market strategies. The report imparts valuable insights into the market dynamics, offering information on crucial factors such as drivers, restraints, challenges, and opportunities, enabling stakeholders to gauge the market's pulse.
The report provides insights into the following pointers:
Analysis of key drivers and factors, such as increasing need for autonomous operations in complex environments, rising defense & security investments, and rapid expansion of commercial use of drones
Market Penetration: Comprehensive information on artificial intelligence (AI) in drones solutions offered by the top players in the market
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and product & service launches in the artificial intelligence (AI) in drones market
Market Development: Comprehensive information about lucrative markets across varied regions.
Market Diversification: Exhaustive information about products & services, untapped geographies, recent developments, and investments in the artificial intelligence (AI) in drones market
Competitive Assessment: In-depth assessment of market share, growth strategies, and service offerings of leading players in the artificial intelligence (AI) in drones market
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
1.4 YEARS CONSIDERED
1.5 CURRENCY & PRICING CONSIDERED
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
2.1.2.2 Breakdown of primary interviews
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
2.3 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
2.6 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ARTIFICIAL INTELLIGENCE (AI) IN DRONES MARKET
4.2 ARTIFICIAL INTELLIGENCE (AI) IN DRONES MARKET, BY END USER
4.3 ARTIFICIAL INTELLIGENCE (AI) IN DRONES MARKET, BY TECHNOLOGY
4.4 ARTIFICIAL INTELLIGENCE (AI) IN DRONES MARKET, BY SOLUTION
4.5 ARTIFICIAL INTELLIGENCE (AI) IN DRONES MARKET, BY FUNCTION
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increasing need for autonomous operations in complex environments
5.2.1.2 Rise in investments in defense and security
5.2.1.3 Rapid expansion of commercial use of drones
5.2.1.4 Increasing demand for real-time data analytics
5.2.2 RESTRAINTS
5.2.2.1 High cost of AI integration and onboard processing hardware
5.2.2.2 Lack of standardized regulations for autonomous drone operations
5.2.3 OPPORTUNITIES
5.2.3.1 Expansion of autonomous Drone-as-a-Service (DaaS) Model
5.2.3.2 Deployment of AI-enabled swarm drones for defense and emergency response
5.2.3.3 Growth of intelligent ISR and border surveillance capabilities
5.2.4 CHALLENGES
5.2.4.1 Data privacy and cybersecurity concerns in AI-driven drone missions
5.2.4.2 Difficulty developing robust AI algorithms for GPS-denied and adverse environments
5.3 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4 VALUE CHAIN ANALYSIS
5.4.1 RESEARCH & DEVELOPMENT
5.4.2 COMPONENT & CHIPSET MANUFACTURING
5.4.3 AI SOFTWARE DEVELOPMENT
5.4.4 SYSTEM INTEGRATION
5.4.5 APPROVALS
5.4.6 END USERS
5.5 ECOSYSTEM ANALYSIS
5.5.1 PROMINENT COMPANIES
5.5.2 PRIVATE AND SMALL ENTERPRISES
5.5.3 END USERS
5.6 PRICING ANALYSIS
5.6.1 AVERAGE SELLING PRICE OF AI-POWERED DRONES FOR KEY PLAYERS, BY SOLUTION
5.6.2 AVERAGE SELLING PRICE OF AI-POWERED DRONE SOLUTIONS, BY REGION
5.6.3 AVERAGE SELLING PRICE OF AI-POWERED DRONES, BY END USER
5.7 REGULATORY LANDSCAPE
5.7.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.7.2 REGULATORY FRAMEWORK, BY REGION
5.7.2.1 North America
5.7.2.2 Europe
5.7.2.3 Asia Pacific
5.7.2.4 Middle East
5.7.2.5 Latin America & Africa
5.8 KEY STAKEHOLDERS AND BUYING CRITERIA
5.8.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.8.2 BUYING CRITERIA
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Vision Transformers (ViTs)
5.9.1.2 AutoML/AutoAI
5.9.1.3 Reinforcement Learning (RL)
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 Sensor fusion systems
5.9.2.2 Edge AI processors
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Digital twin platforms
5.9.3.2 Geospatial Information Systems (GISs)
5.10 CASE STUDY ANALYSIS
5.10.1 CASE STUDY 1: DRONEDESK INTEGRATED ALTITUDE ANGEL'S GUARDIANUTM API INTO ITS WORKFLOW MANAGEMENT SYSTEM
5.10.2 CASE STUDY 2: INTEL DEPLOYED DRONES EQUIPPED WITH AI, COMPUTER VISION, AND EDGE COMPUTING TO MAP TERRAIN, MONITOR VEGETATION, AND ASSESS SOIL CONDITIONS
5.10.3 CASE STUDY 3: CALTRANS PARTNERED WITH SKYDIO TO DEPLOY AUTONOMOUS DRONES WITH ADVANCED AI AND COMPUTER VISION CAPABILITIES
5.11 KEY CONFERENCES AND EVENTS, 2025-2026
5.12 INVESTMENT & FUNDING SCENARIO
5.13 US TARIFF 2025
5.13.1 INTRODUCTION
5.13.2 KEY TARIFF RATES
5.13.3 PRICE IMPACT ANALYSIS
5.13.4 IMPACT ON COUNTRY/REGION
5.13.4.1 United States
5.13.4.2 Europe
5.13.4.3 Asia Pacific (APAC)
5.13.5 IMPACT ON END-USE INDUSTRIES
5.14 MACROECONOMIC OUTLOOK
5.14.1 INTRODUCTION
5.14.2 NORTH AMERICA
5.14.3 EUROPE
5.14.4 ASIA PACIFIC
5.14.5 MIDDLE EAST
5.14.6 LATIN AMERICA
5.14.7 AFRICA
5.15 TOTAL COST OF OWNERSHIP (TCO)
5.16 ARTIFICIAL INTELLIGENCE (AI) IN DRONES MARKET: BUSINESS MODELS
5.17 TECHNOLOGY ROADMAP
5.18 TECHNOLOGY TRENDS
5.18.1 REAL-TIME OBJECT DETECTION & TRACKING
5.18.2 AUTONOMOUS NAVIGATION
5.18.3 EDGE AI PROCESSING
5.18.4 SWARM INTELLIGENCE/MULTI-AGENT AI
5.18.5 NATURAL LANGUAGE INTERFACES
5.19 IMPACT OF MEGA TRENDS
5.19.1 ADDITIVE MANUFACTURING
5.19.2 ADVANCED MATERIAL INTEGRATION
5.19.3 BIG DATA ANALYTICS
5.20 SUPPLY CHAIN ANALYSIS
5.21 PATENT ANALYSIS
6 ARTIFICIAL INTELLIGENCE (AI) IN DRONES MARKET, BY SOLUTION
6.1 INTRODUCTION
6.2 INFRASTRUCTURE
6.2.1 INCREASING NEED FOR EDGE COMPUTING AND HIGH-PERFORMANCE ONBOARD PROCESSING TO DRIVE MARKET
6.2.2 COMPUTE HARDWARE
6.2.2.1 Onboard AI chips
6.2.2.2 Edge computing modules
6.2.3 MEMORY & STORAGE
6.2.3.1 Flash/SSD modules
6.2.3.2 Removable media
6.2.4 NETWORKING
6.2.4.1 Radio modules
6.2.4.2 Satellite links
6.3 SOFTWARE
6.3.1 GROWING DEMAND FOR REAL-TIME, AUTONOMOUS DECISION-MAKING CAPABILITIES ACROSS COMMERCIAL AND DEFENSE APPLICATIONS TO DRIVE MARKET
6.3.2 AI DEVELOPMENT TOOLS
6.3.2.1 Software development kits (SDKs) and machine learning (ML) frameworks
6.3.2.2 Vision-specific AI toolkits
6.3.3 AI APPLICATION PLATFORMS
6.3.3.1 Onboard autonomy stacks
6.3.3.2 Fleet/Cloud platforms
6.4 SERVICES
6.4.1 INCREASING DEMAND FOR CUSTOMIZED, END-TO-END AI INTEGRATION ACROSS DIVERSE INDUSTRIES TO DRIVE MARKET
6.4.2 CORE DATA SERVICES
6.4.3 INTEGRATED SERVICES
7 ARTIFICIAL INTELLIGENCE (AI) IN DRONES MARKET, BY END USER
7.1 INTRODUCTION
7.2 MILITARY
7.2.1 INCREASING NEED FOR AUTONOMOUS, GPS-INDEPENDENT SYSTEMS IN CONTESTED ENVIRONMENTS TO DRIVE MARKET
7.3 COMMERCIAL
7.3.1 RISING DEMAND FOR REAL-TIME ANALYTICS AND AUTOMATION ACROSS LARGE-SCALE INDUSTRIAL OPERATIONS TO DRIVE MARKET
7.4 GOVERNMENT & LAW ENFORCEMENT
7.4.1 EMPHASIS ON SMART SURVEILLANCE AND RAPID EMERGENCY RESPONSE CAPABILITIES TO DRIVE MARKET
8 ARTIFICIAL INTELLIGENCE (AI) IN DRONES MARKET, BY FUNCTION
8.1 INTRODUCTION
8.2 FLIGHT & MISSION OPERATIONS
8.2.1 RISING NEED FOR FULLY AUTONOMOUS DRONE OPERATIONS IN COMMERCIAL APPLICATIONS TO DRIVE MARKET
8.2.2 AUTONOMOUS FLIGHT PLANNING & SCHEDULING
8.2.2.1 Use case: Walmart & Wing's drones schedule optimized delivery missions within 30 minutes
8.2.3 ROUTE OPTIMIZATION & DYNAMIC REROUTING
8.2.3.1 Use case: MIT's AI navigates wind deviations mid-flight, improving accuracy by 50%
8.2.4 OBSTACLE AVOIDANCE & PATH CORRECTION
8.2.4.1 Use case: Amazon's Prime AIR MK30 drones navigate and avoid obstacles using AI, enabling safer BVLOS flights
8.2.5 REAL-TIME WEATHER AVOIDANCE
8.2.5.1 Use case: Adaptive control systems allow wildfire drones to adjust paths to avoid turbulent winds
