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

US $ 4,490 ￦ 6,371,000

PDF (Single User License)

PDF 보고서를 1명만 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

US $ 6,490 ￦ 9,209,000

PDF (Site License)

PDF 보고서를 동일 사업장의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

US $ 8,490 ￦ 12,048,000

PDF (Enterprise License)

PDF 보고서를 동일 기업의 모든 분이 이용할 수 있는 라이선스입니다. 인쇄 가능하며 인쇄물의 이용 범위는 PDF 이용 범위와 동일합니다.

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

• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 성장 촉진요인 및 억제요인)
• 최종 이용 산업의 분석
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 성장률 분석
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 실적 : 규모 및 성장(2019-2024년)
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 예측 : 규모와 성장(2024-2029년, 2034년)
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능 전체 시장 규모(TAM)

제6장 시장 세분화

• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 유형별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 자연언어처리(NLP)
• 머신러닝
• 컴퓨터 비전
• 로봇 공학
• 음성인식
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 기술별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 리모트 센싱
• 사물인터넷(IOT) 센서
• 지리 정보 시스템(GIS)
• 드론 및 무인 항공기(UAV)
• 클라우드 컴퓨팅
• 빅데이터 분석
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 용도별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 지진 예측 및 감시
• 홍수 감지 및 관리
• 산불의 감시와 예측
• 허리케인 및 사이클론 추적
• 쓰나미 조기 경보 시스템
• 수색 구조 활동
• 피해 평가 및 복구 계획
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 최종 사용자별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 정부기관 및 당국
• 비정부기구(NGO)
• 연구기관 및 대학
• 재해 대응 팀
• 긴급관리기관
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 자연언어처리(NLP)별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 텍스트 분석 및 요약
• 감정 분석
• 긴급 지원을 위한 채팅봇
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 머신러닝별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 재해 대책을 위한 예측 분석
• 재해 패턴 인식
• 리스크 평가 모델
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 컴퓨터 비전별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 손해의 검출 및 평가
• 감시 및 모니터링
• 재해 지역의 물체 인식
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 로봇공학별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 자율형 수색 구조 드론
• 로봇 재해 대응 유닛
• 위험 자재 관리 분야 로봇
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 음성인식별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 음성 기반의 긴급 대응 시스템
• 위기 관리를 위한 음성 명령 시스템
• 긴급신고 관리 시스템

제7장 지역별 및 국가별 분석

• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 지역별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)
• 세계의 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 국가별 분석 및 예측(2019-2024년, 2024-2029년, 2034년)

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

• 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 경쟁 구도
• 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 기업 프로파일
  • Amazon Inc. 개요, 제품 및 서비스, 전략 및 재무 분석
  • Alphabet Inc. 개요, 제품 및 서비스, 전략 및 재무 분석
  • Microsoft Corporation 개요, 제품 및 서비스, 전략 및 재무 분석
  • Huawei Technologies Co. Ltd. 개요, 제품 및 서비스, 전략 및 재무 분석
  • Deloitte Touche Tohmatsu Limited 개요, 제품 및 서비스, 전략 및 재무 분석

제31장 기타 주요 기업 및 혁신 기업

• 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.

제32장 세계 시장 경쟁 벤치마킹 및 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문 및 전략

• 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 새로운 기회를 제공하는 국가(2029년)
• 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 새로운 기회를 제공하는 부문(2029년)
• 재해 대응 및 긴급 사태 관리 분야 인공지능(AI) 시장 : 성장 전략(2029년)
  • 시장 동향에 기초한 전략
  • 경쟁 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

• Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
• Assess the impact of key macro factors such as conflict, pandemic and recovery, inflation and interest rate environment and the 2nd Trump presidency.
• Create regional and country strategies on the basis of local data and analysis.
• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on the latest market shares.
• Benchmark performance against key competitors.
• Suitable for supporting your internal and external presentations with reliable high quality data and analysis
• Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
• All data from the report will also be delivered in an excel dashboard format.

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 market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

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.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Type: Natural Language Processing (NLP); Machine Learning; Computer Vision; Robotics; Speech Recognition
• 2) By Technology: Remote Sensing; Internet of Things (IOT) Sensors; Geographic Information Systems (GIS); Drones And Unmanned Aerial Vehicles (UAVs); Cloud Computing; Big Data Analytics
• 3) By Application: Earthquake Prediction And Monitoring; Flood Detection And Management; Wildfire Monitoring And Prediction; Hurricane And Cyclone Tracking; Tsunami Early Warning Systems; Search And Rescue Operations; Damage Assessment And Recovery Planning
• 4) By End-User: Government Agencies And Authorities; Non-Governmental Organizations (NGOs); Research Institutions And Universities; Disaster Response Teams; Emergency Management Agencies
• Subsegments:
• 1) By Natural Language Processing (NLP): Text Analysis And Summarization; Sentiment Analysis; Chatbots For Emergency Support
• 2) By Machine Learning: Predictive Analytics For Disaster Preparedness; Disaster Pattern Recognition; Risk Assessment Models
• 3) By Computer Vision: Damage Detection And Assessment; Surveillance And Monitoring; Object Recognition in Affected Areas
• 4) By Robotics: Autonomous Search And Rescue Drones; Robotic Disaster Response Units; Robotics For Hazardous Material Handling
• 5) By Speech Recognition: Voice-Based Emergency Response Systems; Voice Command Systems For Crisis Management; Emergency Call Management Systems
• Companies Mentioned: Amazon Inc.; Alphabet Inc.; Microsoft Corporation; Huawei Technologies Co. Ltd.; Deloitte Touche Tohmatsu Limited
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

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

• 5.1. Global Artificial Intelligence In Disaster Response And Emergency Management PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Artificial Intelligence In Disaster Response And Emergency Management Market Growth Rate Analysis
• 5.4. Global Artificial Intelligence In Disaster Response And Emergency Management Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Artificial Intelligence In Disaster Response And Emergency Management Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Artificial Intelligence In Disaster Response And Emergency Management Total Addressable Market (TAM)

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

• 6.1. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Natural Language Processing (NLP)
• Machine Learning
• Computer Vision
• Robotics
• Speech Recognition
• 6.2. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Remote Sensing
• Internet of Things (IOT) Sensors
• Geographic Information Systems (GIS)
• Drones And Unmanned Aerial Vehicles (UAVs)
• Cloud Computing
• Big Data Analytics
• 6.3. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Earthquake Prediction And Monitoring
• Flood Detection And Management
• Wildfire Monitoring And Prediction
• Hurricane And Cyclone Tracking
• Tsunami Early Warning Systems
• Search And Rescue Operations
• Damage Assessment And Recovery Planning
• 6.4. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Government Agencies And Authorities
• Non-Governmental Organizations (NGOs)
• Research Institutions And Universities
• Disaster Response Teams
• Emergency Management Agencies
• 6.5. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Text Analysis And Summarization
• Sentiment Analysis
• Chatbots For Emergency Support
• 6.6. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Sub-Segmentation Of Machine Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Predictive Analytics For Disaster Preparedness
• Disaster Pattern Recognition
• Risk Assessment Models
• 6.7. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Sub-Segmentation Of Computer Vision, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Damage Detection And Assessment
• Surveillance And Monitoring
• Object Recognition in Affected Areas
• 6.8. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Sub-Segmentation Of Robotics, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Autonomous Search And Rescue Drones
• Robotic Disaster Response Units
• Robotics For Hazardous Material Handling
• 6.9. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Sub-Segmentation Of Speech Recognition, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Voice-Based Emergency Response Systems
• Voice Command Systems For Crisis Management
• Emergency Call Management Systems

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

• 7.1. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 8.1. Asia-Pacific Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 9.1. China Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 9.2. China Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

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

• 10.1. India Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 11.1. Japan Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 11.2. Japan Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 12.1. Australia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 13.1. Indonesia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 14.1. South Korea Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 14.2. South Korea Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 15.1. Western Europe Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 15.2. Western Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 16.1. UK Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 17.1. Germany Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 18.1. France Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 19.1. Italy Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 20.1. Spain Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 21.1. Eastern Europe Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 21.2. Eastern Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 22.1. Russia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 23.1. North America Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 23.2. North America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 24.1. USA Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 24.2. USA Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 25.1. Canada Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 25.2. Canada Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 26.1. South America Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 26.2. South America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 27.1. Brazil Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 28.1. Middle East Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 28.2. Middle East Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 29.1. Africa Artificial Intelligence In Disaster Response And Emergency Management Market Overview
• 29.2. Africa Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

• 30.1. Artificial Intelligence In Disaster Response And Emergency Management Market Competitive Landscape
• 30.2. Artificial Intelligence In Disaster Response And Emergency Management Market Company Profiles
  • 30.2.1. Amazon Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Deloitte Touche Tohmatsu Limited Overview, Products and Services, Strategy and Financial Analysis

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

• 31.1. Hitachi Ltd.
• 31.2. Siemens AG
• 31.3. Raytheon Technologies Corporation
• 31.4. Intel Corporation
• 31.5. Accenture PLC
• 31.6. International Business Machines Corporation
• 31.7. Cisco Systems Inc.
• 31.8. General Dynamics Corporation
• 31.9. Northrop Grumman Corporation
• 31.10. Honeywell International Inc.
• 31.11. NVIDIA Corporation
• 31.12. BAE Systems plc
• 31.13. Thales Group
• 31.14. NEC Corporation
• 31.15. Leidos Holdings Inc.

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

• 35.1 Artificial Intelligence In Disaster Response And Emergency Management Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Artificial Intelligence In Disaster Response And Emergency Management Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Artificial Intelligence In Disaster Response And Emergency Management Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer

관련자료