세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 보고서(2025년)
Artificial Intelligence In Disaster Response And Emergency Management Global Market Report 2025
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리서치사 : The Business Research Company
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한글목차

재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 규모는 향후 수년간 강력한 성장이 전망됩니다. 2029년까지 CAGR 9.3%로 성장할 전망이며, 2,198억 6,000만 달러로 성장이 예측됩니다. 예측 기간 성장 요인은 AI를 활용한 로봇 및 드론, 스마트시티와의 통합, 기후변화 영향, AI를 활용한 예측 분석 등입니다. 예측 기간 주요 동향으로는 재난 복구 계획과 AI 통합, IoT 및 센서 네트워크 확대, AI를 활용한 예측 분석 대두, AI를 탑재한 로봇 및 드론 채택, 스마트 시티, 재난 관리를 위한 AI 등이 있습니다.

재해의 빈도와 심각성 증가는 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장의 성장을 향후 촉진할 것으로 예상됩니다. 재해는 지역사회, 환경, 경제에 막대한 피해, 파괴, 혼란을 초래하는 돌발적이고 파괴적인 사건입니다. 이러한 사건의 빈도와 강도가 증가하고 있는 것은 자연 현상, 인간 활동, 기후 변화의 영향이 복잡하게 얽혀 있기 때문입니다. 재해 대응 및 긴급 사태 관리 분야 인공지능은 여러 정보원의 방대한 데이터 세트를 분석하고 실시간 인사이트를 제공하며, 재난의 영향을 예측하고, 자원 배분을 최적화하며, 위기 시 의사 결정을 강화하기 위해 채택되었습니다. 예를 들면, 2022년 4월, 미국을 거점으로 하는 비정부기구 EOS Data Analytics Inc.는, 최근의 자연 재해에 의한 사망자 321명, 중상자 595명, 경상자 1만 명 이상을 공식적으로 보고했습니다. 더욱이 정부 추산에 따르면 약 73,874명이 집을 잃었고 62,000동 이상의 가옥이 피해를 입었습니다. 이와 같이, 재해의 빈도 및 심각성의 증가가, 재해 대응 및 긴급 관리 분야 AI의 성장을 뒷받침하고 있습니다.

재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장에서 사업을 전개하는 주요 기업은 피해 평가 프로세스를 합리화하기 위해 AI Property 등 혁신적인 AI 주도형 솔루션을 개발하고 있습니다. AI 프로퍼티는 주택 소유자가 사용자 친화적인 모바일 앱을 통해 자연재해로 인한 건물 외부 손상을 신속하게 평가 및 보고하고 보험금 청구 및 복구 절차를 신속화할 수 있도록 설계된 인공지능 솔루션입니다. 예를 들어 2022년 1월, 미국 소프트웨어 회사인 Tractable은 미국 분석 회사인 Verisk와 손잡고 자연재해 후 주택 손상을 신속하게 평가하기 위한 최첨단 도구인 AI Property를 발표했습니다. 이 AI를 탑재한 툴은 주택 소유자가 모바일 앱을 통해 트랙터블 플랫폼에 사진을 제출해 신속한 손해사정을 가능하게 합니다. 보험금 청구 데이터베이스에서 훈련된 AI는 보험사에 하루 이내의 손해사정을 제공하고, 기존 몇 달이 걸리던 프로세스에 비해 크게 개선되었습니다

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향 및 전략

제4장 시장-금리, 인플레이션, 지정학, 코로나, 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석 및 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 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

제36장 부록

AJY
영문 목차

영문목차

Artificial intelligence (AI) in disaster response and emergency management involves leveraging AI technologies such as machine learning, natural language processing, and computer vision to improve preparedness, response, and recovery efforts during natural disasters, humanitarian crises, and other emergencies. By harnessing AI, emergency responders, government agencies, and humanitarian organizations can utilize data-driven insights and adaptive strategies to minimize the impact of disasters, safeguard lives, and protect infrastructure and communities.

The primary types of AI utilized in disaster response and emergency management include natural language processing (NLP), machine learning, computer vision, robotics, and speech recognition. NLP enables computers to understand, interpret, and generate human language for tasks such as text analysis and language translation. Various technologies such as remote sensing, Internet of Things (IoT) sensors, geographic information systems (GIS), drones and unmanned aerial vehicles (UAVs), cloud computing, and big data analytics are employed in earthquake prediction and monitoring, flood detection and management, wildfire monitoring and prediction, hurricane and cyclone tracking, tsunami early warning systems, search and rescue operations, and damage assessment and recovery planning applications. The end users of AI in disaster response and emergency management include government agencies and authorities, non-governmental organizations (NGOs), research institutions and universities, disaster response teams, and emergency management agencies. These stakeholders collaborate to leverage AI technologies effectively and efficiently in preparing for, responding to, and recovering from various types of disasters and emergencies.

The artificial intelligence in disaster response and emergency management market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in disaster response and emergency management market statistics, including artificial intelligence in disaster response and emergency management industry global market size, regional shares, competitors with an artificial intelligence in disaster response and emergency management market share, detailed artificial intelligence in disaster response and emergency management market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in disaster response and emergency management industry. This artificial intelligence in disaster response and emergency management 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 in disaster response and emergency management market size has grown strongly in recent years. It will grow from $140.96 billion in 2024 to $154.22 billion in 2025 at a compound annual growth rate (CAGR) of 9.4%. The growth in the historic period can be attributed to increased frequency and severity of disasters, advances in artificial intelligence (AI), cost reduction and efficiency, data availability and integration, public safety and government mandates.

The artificial intelligence in disaster response and emergency management market size is expected to see strong growth in the next few years. It will grow to $219.86 billion in 2029 at a compound annual growth rate (CAGR) of 9.3%. The growth in the forecast period can be attributed to AI-powered robotics and drones, integration with smart cities, climate change impact, AI-driven predictive analytics. Major trends in the forecast period include AI integration with disaster recovery plans, expansion of IoT and sensor networks, rise of AI-powered predictive analytics, adoption of AI-powered robotics and drones, smart cities and ai for disaster management.

The rising frequency and severity of disasters are anticipated to drive the growth of the artificial intelligence (AI) market in disaster response and emergency management in the future. Disasters are sudden and catastrophic events that inflict substantial harm, destruction, and disruption on communities, environments, and economies. The increasing frequency and intensity of such events stem from a complex interplay of natural phenomena, human activities, and the effects of climate change. AI in disaster response and emergency management is employed to analyze extensive datasets from multiple sources, providing real-time insights, predicting disaster impacts, optimizing resource allocation, and enhancing decision-making during crises. For example, in April 2022, EOS Data Analytics Inc., a US-based non-governmental organization, reported official accounts of 321 confirmed deaths, 595 serious injuries, and over 10,000 minor injuries resulting from a recent natural disaster. Additionally, government estimates indicated that around 73,874 individuals were displaced, with more than 62,000 homes damaged. Thus, the increasing frequency and severity of disasters are propelling the growth of AI in disaster response and emergency management.

Leading companies operating in the artificial intelligence for disaster response and emergency management sector are developing innovative AI-driven solutions, such as AI Property, to streamline the damage assessment process. AI Property is an artificial intelligence solution designed to help homeowners swiftly assess and report external damage to buildings caused by natural disasters through a user-friendly mobile app, thereby expediting insurance claims and recovery procedures. For example, in January 2022, Tractable, a US-based software company, partnered with Verisk, a US-based analytics company, to launch AI Property, a cutting-edge tool for rapid home damage assessment following natural disasters. This AI-powered tool enables homeowners to submit photos via a mobile app to Tractable's platform for quick damage assessment. Trained on a database of claims, the AI provides insurers with damage assessments within a day, a significant improvement compared to the months-long process it used to take.

In October 2023, Tyler Technologies Inc., a US-based software company, completed the acquisition of ARInspect for an undisclosed sum. This strategic acquisition has bolstered Tyler Technologies' platform capabilities with AI-driven machine learning solutions from ARInspect, offering advanced functionalities for public sector field operations and facilitating smarter decision-making for government agencies. ARInspect, a US-based robotic process automation company leveraging AI technologies, provides solutions for various organizations involved in disaster response, including police disaster response units, emergency fire response teams, and self-defense forces.

Major companies operating in the artificial intelligence in disaster response and emergency management market report are Amazon Inc.; Alphabet Inc.; Microsoft Corporation; Huawei Technologies Co. Ltd.; Deloitte Touche Tohmatsu Limited; Hitachi Ltd.; Siemens AG; Raytheon Technologies Corporation; Intel Corporation; Accenture PLC; International Business Machines Corporation; Cisco Systems Inc.; General Dynamics Corporation; Northrop Grumman Corporation; Honeywell International Inc.; NVIDIA Corporation; BAE Systems plc; Thales Group; NEC Corporation; Leidos Holdings Inc.; Booz Allen Hamilton Holding Corporation; Motorola Solutions Inc.; Teledyne Technologies Incorporated; Palantir Technologies Inc

North America was the largest region in the artificial intelligence in disaster response and emergency management market in 2024. The regions covered in the artificial intelligence in disaster response and emergency management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence in disaster response and emergency management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence in disaster response and emergency management market consists of revenues earned by entities by providing services such as awareness services, natural language processing services, emergency communication, geospatial intelligence services, and risk management services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in disaster response and emergency management market also includes sales of disaster response robots, imaging and remote sensing devices and control systems which are used in providing the services. 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 In Disaster Response And Emergency Management 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 in disaster response and emergency management 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 in disaster response and emergency management ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence in disaster response and emergency management 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence In Disaster Response And Emergency Management Market Characteristics

3. Artificial Intelligence In Disaster Response And Emergency Management Market Trends And Strategies

4. Artificial Intelligence In Disaster Response And Emergency Management Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Artificial Intelligence In Disaster Response And Emergency Management Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence In Disaster Response And Emergency Management Market Segmentation

7. Artificial Intelligence In Disaster Response And Emergency Management Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence In Disaster Response And Emergency Management Market

9. China Artificial Intelligence In Disaster Response And Emergency Management Market

10. India Artificial Intelligence In Disaster Response And Emergency Management Market

11. Japan Artificial Intelligence In Disaster Response And Emergency Management Market

12. Australia Artificial Intelligence In Disaster Response And Emergency Management Market

13. Indonesia Artificial Intelligence In Disaster Response And Emergency Management Market

14. South Korea Artificial Intelligence In Disaster Response And Emergency Management Market

15. Western Europe Artificial Intelligence In Disaster Response And Emergency Management Market

16. UK Artificial Intelligence In Disaster Response And Emergency Management Market

17. Germany Artificial Intelligence In Disaster Response And Emergency Management Market

18. France Artificial Intelligence In Disaster Response And Emergency Management Market

19. Italy Artificial Intelligence In Disaster Response And Emergency Management Market

20. Spain Artificial Intelligence In Disaster Response And Emergency Management Market

21. Eastern Europe Artificial Intelligence In Disaster Response And Emergency Management Market

22. Russia Artificial Intelligence In Disaster Response And Emergency Management Market

23. North America Artificial Intelligence In Disaster Response And Emergency Management Market

24. USA Artificial Intelligence In Disaster Response And Emergency Management Market

25. Canada Artificial Intelligence In Disaster Response And Emergency Management Market

26. South America Artificial Intelligence In Disaster Response And Emergency Management Market

27. Brazil Artificial Intelligence In Disaster Response And Emergency Management Market

28. Middle East Artificial Intelligence In Disaster Response And Emergency Management Market

29. Africa Artificial Intelligence In Disaster Response And Emergency Management Market

30. Artificial Intelligence In Disaster Response And Emergency Management Market Competitive Landscape And Company Profiles

31. Artificial Intelligence In Disaster Response And Emergency Management Market Other Major And Innovative Companies

32. Global Artificial Intelligence In Disaster Response And Emergency Management Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence In Disaster Response And Emergency Management Market

34. Recent Developments In The Artificial Intelligence In Disaster Response And Emergency Management Market

35. Artificial Intelligence In Disaster Response And Emergency Management Market High Potential Countries, Segments and Strategies

36. Appendix

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