세계의 인공지능(AI) 군집 제어 스테이션 시장 보고서(2025년)
Artificial Intelligence (AI) Swarm Control Station Global Market Report 2025
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리서치사 : The Business Research Company
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한글목차

인공지능(AI) 군집 제어 스테이션 시장 규모는 최근 급격히 확대되고 있습니다. 2024년의 16억 1,000만 달러로 평가되었고, 2025년에 20억 1,000만 달러에 이를 것으로 예측되며, CAGR은 24.8%를 나타낼 전망입니다. 이 성장은 국방 작전에서의 무인 시스템 통합 증가, 인공지능 기반 지휘 플랫폼에 대한 연구 자금 확대, 군집 관리를 위한 시뮬레이션 기반 훈련의 확산, 방산업체와 기술 기업 간의 협력 확대, 실시간 의사 결정 지원을 위한 머신러닝 활용 증가 등에 기인합니다.

인공지능(AI) 군집 제어 스테이션 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 48억 2,000만 달러에 이를 것으로 예측되며, CAGR은 24.4%를 나타낼 전망입니다. 예측 기간 동안의 성장은 5G 기반 통신 네트워크에 대한 의존도 증가, 크로스 도메인 군집 조정 수요 증가, 자율적 재난 대응 애플리케이션에 대한 관심 확대, 군집 테스트를 위한 디지털 트윈 기술 채택 증가, 우주 기반 군집 통신 시스템에 대한 투자 증가 등에 의해 주도될 것으로 예상됩니다. 예측 기간 동안 주요 트렌드로는 군집 최적화를 위한 양자 컴퓨팅 발전, 안전한 군집 통신을 위한 블록체인 통합, 군집 작전에서의 AI와 로봇공학 융합, 실시간 의사결정을 위한 신경모방 컴퓨팅 발전, 군집 제어 시스템에 인간-기계 팀워크 통합 등이 있습니다.

증가하는 군사 투자가 향후 몇 년간 인공지능 군집 제어 스테이션 시장 성장을 주도할 것으로 예상됩니다. 군사 투자는 국가 안보 및 작전 효율성 강화를 위한 방위 역량, 첨단 기술, 전략적 군사 인프라에 대한 정부 지출을 의미합니다. 이러한 투자는 글로벌 안보 위협과 지정학적 긴장 고조로 인해 증가하고 있으며, 각국이 첨단 기술로 방위 역량을 현대화하도록 촉구하고 있습니다. 군 지출 증가는 전장 효율성과 전략적 우위 강화를 위해 다수의 무인 차량, 드론, 로봇 시스템을 동시에 관리할 자율적 조정 플랫폼이 군에 필요함에 따라 AI 군집 제어 스테이션 시스템 도입을 가속화합니다. 예를 들어, 2023년 4월 스톡홀름 국제평화연구소(SIPRI) 보고서에 따르면 2022년 전 세계 국방 지출은 실질 기준으로 3.7% 증가한 사상 최대 규모인 2조 2,400억 달러를 기록했으며, 미국, 중국, 러시아가 전 세계 군사 지출 총액의 56%를 차지했습니다. 따라서 증가하는 군사 투자는 인공지능 군집 제어 스테이션 시장의 성장을 뒷받침하고 있습니다.

인공지능 군집 제어 스테이션 시장의 주요 기업들은 임무 효율성, 정밀 타격, 운영 확장성 향상을 위해 자율 다중 드론 협업 시스템 개발에 주력하고 있습니다. 이러한 AI 기반 플랫폼은 감시, 표적 추적, 물자 운송 등의 임무 수행 시 효율성, 정확성, 안전성을 높여주며, 인간의 직접적인 통제 없이도 다수의 드론이 함께 작전할 수 있게 합니다. 예를 들어, 2025년 8월 한국 항공우주 기업 니어스랩(Nearthlab Inc.)은 인공지능 기반 자율 군집 공격 무인항공기 시스템 'XAiDEN'을 출시했습니다. XAiDEN은 정찰, 자율 표적 추적, 정밀 타격 등 방어 임무를 위한 다중 드론 협동 작전을 수행하도록 설계되었습니다. 단일 운영자가 여러 편대를 동시에 관리할 수 있으며, 드론들은 통신 또는 항법 장애 상황에서도 독립적으로 임무를 완수할 수 있습니다. 이 시스템은 작전 효율성, 임무 성공률 및 비용 효율성을 향상시켜 자율 다중 드론 협동 기술의 중대한 발전을 보여줍니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별 및 국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

HBR
영문 목차

영문목차

An artificial intelligence swarm control station is a centralized system designed to coordinate and manage multiple autonomous agents operating together. It employs advanced algorithms to optimize task allocation, communication, and movement patterns within the swarm. The station continuously monitors performance, adapts strategies, and ensures the swarm operates efficiently to achieve its objectives.

The main components of an artificial intelligence swarm control station include hardware, software, and services. Hardware forms the core foundation, comprising the physical elements that support the station's operation, connectivity, and overall performance. These systems can be deployed on-premises or in the cloud and function across various platforms, including aerial, ground, marine, and hybrid configurations. They are applied in areas such as defense and security, industrial automation, agriculture, transportation and logistics, and environmental monitoring, serving end-users such as military organizations, commercial enterprises, research and development institutions, and other entities.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp hike in U.S. tariffs and the associated trade disputes in spring 2025 are notably impacting the aerospace and defense sector by raising costs for titanium, carbon fiber composites, and avionics materials largely sourced from global suppliers. Defense contractors, locked into fixed-price government contracts, absorb these added costs, while commercial aerospace firms face airline pushback on higher aircraft prices. Delays in component shipments due to customs bottlenecks further disrupt tight production schedules for jets and satellites. The industry is responding by stockpiling critical materials, seeking waivers for defense-related imports, and collaborating with allied nations to diversify supply chain.

The artificial intelligence (AI) swarm control station market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) swarm control station market statistics, including artificial intelligence (AI) swarm control station industry global market size, regional shares, competitors with the artificial intelligence (AI) swarm control station market share, artificial intelligence (AI) swarm control station market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) swarm control station industry. This artificial intelligence (AI) swarm control station market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) swarm control station market size has grown exponentially in recent years. It will grow from $1.61 billion in 2024 to $2.01 billion in 2025 at a compound annual growth rate (CAGR) of 24.8%. The growth during the historic period can be attributed to the increasing integration of unmanned systems in defense operations, rising research funding for artificial intelligence-enabled command platforms, growing adoption of simulation-based training for swarm management, expanding collaborations between defense contractors and technology firms, and greater use of machine learning for real-time decision support.

The artificial intelligence (AI) swarm control station market size is expected to see exponential growth in the next few years. It will grow to $4.82 billion in 2029 at a compound annual growth rate (CAGR) of 24.4%. The growth in the forecast period is expected to be driven by increasing reliance on 5G-enabled communication networks, rising demand for cross-domain swarm coordination, greater focus on autonomous disaster response applications, growing adoption of digital twin technology for swarm testing, and increased investments in space-based swarm communication systems. Key trends during the forecast period include advancements in quantum computing for swarm optimization, integration of blockchain for secure swarm communications, convergence of AI and robotics in swarm operations, developments in neuromorphic computing for real-time decision-making, and the integration of human-machine teaming in swarm control systems.

The rising military investments are expected to drive the growth of the artificial intelligence swarm control station market in the coming years. Military investments refer to government spending on defense capabilities, advanced technologies, and strategic military infrastructure to strengthen national security and operational efficiency. These investments are increasing due to escalating global security threats and geopolitical tensions, prompting nations to modernize defense capabilities with advanced technologies. Higher military spending accelerates the adoption of AI swarm control station systems, as armed forces require autonomous coordination platforms to manage multiple unmanned vehicles, drones, and robotic systems simultaneously for enhanced battlefield effectiveness and strategic advantage. For example, in April 2023, the Stockholm International Peace Research Institute reported that worldwide defense expenditures rose by 3.7 percent in real terms in 2022 to a record 2,240 billion US dollars, with the United States, China, and Russia accounting for 56 percent of total global military spending. Increasing military investments are therefore supporting the growth of the artificial intelligence swarm control station market.

Key companies in the artificial intelligence swarm control station market are focusing on developing autonomous multi-drone coordination systems to improve mission efficiency, precision targeting, and operational scalability. These AI-driven platforms allow multiple drones to operate together without direct human control, enhancing efficiency, accuracy, and safety in tasks such as surveillance, target tracking, and delivery. For instance, in August 2025, Nearthlab Inc., a South Korea-based aerospace company, launched XAiDEN, an AI-enabled autonomous swarm attack UAV system. XAiDEN is designed to execute coordinated multi-drone operations for defense missions, including reconnaissance, autonomous target tracking, and precision strikes. A single operator can manage multiple squadrons simultaneously, with drones capable of completing missions independently even under communication or navigation disruptions. This system enhances operational efficiency, mission success rates, and cost-effectiveness, representing a significant advancement in autonomous multi-drone coordination technology.

In May 2025, AeroVironment Inc., a US-based defense and technology company, acquired BlueHalo LLC for approximately $4.1 billion. Through this acquisition, AeroVironment aims to strengthen its defense technology portfolio by combining its expertise with BlueHalo's advanced capabilities, establishing a comprehensive offering across air, land, sea, space, and cyber domains, accelerating innovation, enhancing operational impact for customers, and driving long-term strategic growth. BlueHalo LLC specializes in providing artificial intelligence swarm control station systems.

Major players in the artificial intelligence (AI) swarm control station market are Raytheon Technologies Corporation, Northrop Grumman Corporation, Thales Group, L3Harris Technologies Inc., Leonardo S.P.A, Elbit Systems Ltd, ARES Autonomy, GreyOrange Inc., Quantum Systems GmbH, Fortem Technologies Inc., Shield AI, Auterion, Aquiline Drones, Israel Aerospace Industries Ltd., Raphe mPhibr Pvt. Ltd., Zhuhai Ziyan Technology Co. Ltd., Falco Robotics Private Limited., Nearthlab Inc., Sky-Drones Technologies Ltd., and Swarmer.

North America was the largest region in the artificial intelligence (AI) swarm control station market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI) swarm control station report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI) swarm control station market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) swarm control station market consists of revenues earned by entities by providing services such as autonomous fleet management, mission planning and execution, data analytics and insights, real-time monitoring and control, swarm behavior optimization, security and threat detection, simulation and testing. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) swarm control station market also includes sales of swarm management software, autonomous mission planning software, operator consoles and dashboards, ground control stations, and human-machine interface (HMI) software. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) Swarm Control Station Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) swarm control station market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (ai) swarm control station ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) swarm control station market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) Swarm Control Station Market Characteristics

3. Artificial Intelligence (AI) Swarm Control Station Market Trends And Strategies

4. Artificial Intelligence (AI) Swarm Control Station Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Artificial Intelligence (AI) Swarm Control Station Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI) Swarm Control Station Market Segmentation

7. Artificial Intelligence (AI) Swarm Control Station Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) Swarm Control Station Market

9. China Artificial Intelligence (AI) Swarm Control Station Market

10. India Artificial Intelligence (AI) Swarm Control Station Market

11. Japan Artificial Intelligence (AI) Swarm Control Station Market

12. Australia Artificial Intelligence (AI) Swarm Control Station Market

13. Indonesia Artificial Intelligence (AI) Swarm Control Station Market

14. South Korea Artificial Intelligence (AI) Swarm Control Station Market

15. Western Europe Artificial Intelligence (AI) Swarm Control Station Market

16. UK Artificial Intelligence (AI) Swarm Control Station Market

17. Germany Artificial Intelligence (AI) Swarm Control Station Market

18. France Artificial Intelligence (AI) Swarm Control Station Market

19. Italy Artificial Intelligence (AI) Swarm Control Station Market

20. Spain Artificial Intelligence (AI) Swarm Control Station Market

21. Eastern Europe Artificial Intelligence (AI) Swarm Control Station Market

22. Russia Artificial Intelligence (AI) Swarm Control Station Market

23. North America Artificial Intelligence (AI) Swarm Control Station Market

24. USA Artificial Intelligence (AI) Swarm Control Station Market

25. Canada Artificial Intelligence (AI) Swarm Control Station Market

26. South America Artificial Intelligence (AI) Swarm Control Station Market

27. Brazil Artificial Intelligence (AI) Swarm Control Station Market

28. Middle East Artificial Intelligence (AI) Swarm Control Station Market

29. Africa Artificial Intelligence (AI) Swarm Control Station Market

30. Artificial Intelligence (AI) Swarm Control Station Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) Swarm Control Station Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) Swarm Control Station Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Swarm Control Station Market

34. Recent Developments In The Artificial Intelligence (AI) Swarm Control Station Market

35. Artificial Intelligence (AI) Swarm Control Station Market High Potential Countries, Segments and Strategies

36. Appendix

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