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市場調查報告書
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1847253

2025年全球災害應變與緊急管理人工智慧市場報告

Artificial Intelligence In Disaster Response And Emergency Management Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，人工智慧在災害應變和緊急管理領域的市場規模呈現強勁成長，預計將從2024年的1,409.6億美元成長到2025年的1,529.5億美元，複合年成長率達8.5%。這一成長主要歸因於災害發生頻率和嚴重程度的增加、人工智慧（AI）技術的進步、成本降低和效率提升、數據可用性和整合以及公共和政府指令。

預計未來幾年，人工智慧在災害應變和緊急管理領域的市場將保持強勁成長，到2029年市場規模將達到2,113.9億美元，複合年成長率（CAGR）為8.4%。預測期內的成長促進因素包括人工智慧機器人和無人機、與智慧城市的融合、氣候變遷的影響以及人工智慧預測分析。預測期內的關鍵趨勢包括人工智慧與災害復原規劃的融合、物聯網和感測器網路的擴展、人工智慧預測分析的興起、人工智慧機器人和無人機的應用、智慧城市以及人工智慧在災害管理中的應用。

人工智慧（AI）在災害應變和緊急管理的應用，是指利用機器學習、自然語言處理和電腦視覺等人工智慧技術，提升自然災害、人道危機和其他緊急情況下的準備、應變和復原工作。借助人工智慧，緊急應變、政府機構和人道主義組織可以利用數據主導的洞察和適應性策略，最大限度地減少災害影響，挽救生命，並保護基礎設施和社區。

災害應變和緊急管理中使用的主要人工智慧類型包括自然語言處理 (NLP)、機器學習、電腦視覺、機器人技術和語音辨識。自然語言處理 (NLP) 使電腦能夠理解、解釋和產生人類語言，用於文本分析和語言翻譯等任務。包括遙感探測、物聯網 (IoT) 感測器、地理資訊系統 (GIS)、無人機和無人飛行器 (UAV)、雲端處理和巨量資料分析在內的各種技術正被應用於地震預測和監測、洪水偵測和管理、野火監測和預報、颶風和氣旋追蹤、海嘯預警系統、搜救行動以及災害評估和復原規劃等領域。災害應變和緊急管理中人工智慧的最終使用者包括政府機構和部門、非政府組織 (NGO)、研究機構和大學、災害應變團隊以及緊急管理組織。這些相關人員正在合作，以有效利用人工智慧技術來準備、回應和恢復各種類型的災害和緊急情況。

美國關稅的突然上調以及由此引發的貿易摩擦，在2025年春季對資訊科技產業，尤其是硬體製造、資料基礎設施和軟體部署領域，產生了重大影響。進口半導體、電路基板和網路設備的關稅提高，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司面臨更長的前置作業時間週期和價格壓力。同時，對專用軟體徵收的關稅以及主要國際市場的報復性措施，擾亂了全球IT供應鏈，並降低了海外對美國製造技術的需求。為了應對這些挑戰，該行業正在加大對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化技術來增強韌性並簡化成本管理。

《人工智慧在災害應變和緊急管理中的應用市場研究報告》是商業研究公司最新發布的系列報告之一，提供人工智慧在災害應變管理領域的市場統計數據，例如全球市場規模、區域佔有率、競爭對手及其市場佔有率、詳細的市場細分、市場趨勢和商業機會。這份人工智慧在災害應變和緊急管理領域的市場研究報告對該行業的現狀和未來發展趨勢進行了深入分析，為您提供所需的一切觀點。

未來五年8.4%的預測成長率較我們先前對該市場的預測略微下調了0.8%。這一下調主要歸因於美國與其他國家之間的關稅影響。關稅可能會限制從歐洲和中國進口的人工智慧無人機系統和區域分析工具的獲取，從而削弱緊急準備能力。此外，相互關稅以及不斷升級的貿易緊張局勢和限制措施對全球經濟和貿易造成的負面影響也將使這種影響更加廣泛。

預計未來災害發生頻率和嚴重程度的增加將推動人工智慧（AI）在災害應變和緊急管理領域的市場成長。災害是指突發性、災難性事件，會對社區、環境和經濟造成重大損害、破壞和中斷。此類事件發生頻率和強度的增加是自然現象、人類活動和氣候變遷影響之間複雜相互作用的結果。人工智慧在災害應變和緊急管理中的應用，旨在分析來自多個資訊來源的大量資料集，提供即時洞察，預測災害影響，最佳化資源分配，並增強危機期間的決策能力。例如，2022年4月，總部位於美國的非政府組織EOS Data Analytics Inc.正式報告稱，近期發生的自然災害造成321人死亡、595人重傷和超過10,000人輕傷。此外，根據政府估計，約有73874人失去家園，超過62,000棟房屋受損。因此，災害發生的頻率和嚴重程度不斷增加，推動了人工智慧在災害應變和緊急管理領域的應用。

在災害應變和緊急管理領域，主要企業正在開發創新的人工智慧主導解決方案，例如AI Property，以簡化損失評估流程。 AI Property是一款人工智慧解決方案，旨在幫助屋主透過方便用戶使用的行動應用程式快速評估和報告自然災害造成的房屋外部損壞，從而加快保險索賠和災後復原程序。例如，2022年1月，美國軟體公司Tractable與美國分析公司Verisk合作推出了AI Property，這是一款用於快速評估自然災害後房屋損壞的尖端工具。這款人工智慧工具允許屋主透過行動應用程式向Tractable平台提交照片，從而實現快速的損失評估。該人工智慧系統基於保險索賠資料庫進行訓練，可在一天內為保險公司提供損失評估結果，與之前需要數月的時間相比，這是一個顯著的改進。

2023年10月，總部位於美國的軟體公司Tyler Technologies完成了對ARInspect的收購，並未揭露金額。此次策略性收購將ARInspect的人工智慧驅動型機器學習解決方案融入Tyler Technologies的平台，增強其功能，為公共部門現場作業提供更先進的能力，並協助政府機構做出更明智的決策。 ARInspect是一家總部位於美國的機器人流程自動化公司，利用人工智慧技術為參與災害應變的各類機構提供解決方案，包括警察災害應變總部、緊急消防救援隊和日本自衛隊。

災害應變和緊急管理領域的人工智慧市場由提供認知服務、自然語言處理服務、緊急通訊、地理空間資訊服務和風險管理服務等服務的營業單位所獲得的收入所構成。市場價值還包括服務供應商銷售的或包含在其服務產品中的相關商品的價值。災害應變和緊急管理領域的人工智慧市場還包括用於提供服務的災害應變機器人、影像處理設備、遙感探測設備和控制系統的銷售。該市場的價值為“出廠價”，即商品製造商或生產商向其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接向最終客戶銷售的商品價值。該市場中的商品價值還包括商品製造商提供的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球災害應變與緊急管理中的人工智慧：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球災害應變與緊急管理領域人工智慧市場：成長率分析
  • 全球災害應變與緊急管理領域人工智慧市場表現：規模與成長，2019-2024 年
  • 全球災害應變與緊急管理領域人工智慧市場預測：規模與成長，2024-2029年，2034年
  • 全球災害應變和緊急管理中的人工智慧：潛在市場規模 (TAM)

第6章 市場細分

  • 全球災害應變與緊急管理領域人工智慧市場：按類型、性能和預測分類，2019-2024年、2024-2029年、2034年
  • 自然語言處理（NLP）
  • 機器學習
  • 電腦視覺
  • 機器人技術
  • 語音辨識
  • 全球災害應變與緊急管理領域人工智慧市場：按技術、性能和預測分類，2019-2024年、2024-2029年、2034年
  • 遙感探測
  • 物聯網 (IoT) 感測器
  • 地理資訊系統（GIS）
  • 無人機和無人駕駛飛行器（UAV）
  • 雲端運算
  • 巨量資料分析
  • 全球災害應變與緊急管理領域人工智慧市場：按應用、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 地震預測與監測
  • 洪水探測與管理
  • 野火監測和預測
  • 颶風和氣旋追蹤
  • 海嘯預警系統
  • 搜救行動
  • 損失評估和恢復計劃
  • 全球災害應變與緊急管理領域人工智慧市場：按最終用戶、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 政府機構和當局
  • 非政府組織（NGO）
  • 研究機構和大學
  • 災害應變小組
  • 緊急管理機構
  • 全球災害應變與緊急管理人工智慧市場：按自然語言處理 (NLP)、類型、效能和預測進行細分，2019-2024 年、2024-2029 年、2034 年
  • 文本分析與摘要
  • 情緒分析
  • 用於緊急支援的聊天機器人
  • 全球災害應變與緊急管理人工智慧市場：按機器學習（類型）、性能和預測細分，2019-2024年、2024-2029年、2034年
  • 災害防備的預測分析
  • 災害模式識別
  • 風險評估模型
  • 全球災害應變與緊急管理人工智慧市場：按電腦視覺（類型）、性能和預測細分，2019-2024年、2024-2029年、2034年
  • 損傷檢測與評估
  • 監視與監測
  • 災區物體識別
  • 全球災害應變與緊急管理人工智慧市場：按機器人技術、類型、性能和預測進行細分，2019-2024年、2024-2029年、2034年
  • 自主搜救無人機
  • 機器人災害應變單元
  • 危險物料輸送機器人
  • 全球人工智慧在災害應變管理領域的市場：語音辨識細分（按類型）、效能和預測，2019-2024年、2024-2029年、2034年
  • 基於語音的緊急應變系統
  • 用於危機管理的語音控制系統
  • 緊急呼叫管理系統

第7章 區域和國家分析

  • 全球災害應變與緊急管理人工智慧市場：按地區、績效和預測分類，2019-2024年、2024-2029年、2034年
  • 全球災害應變與緊急管理人工智慧市場：國家、績效與預測，2019-2024年、2024-2029年、2034年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧在災害應變和緊急管理的應用：競爭格局
  • 災害應變與緊急管理中的人工智慧市場：公司概況
    • Amazon Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Alphabet Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Huawei Technologies Co. Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Deloitte Touche Tohmatsu Limited Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • 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.

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年災害應變與緊急管理領域人工智慧市場：提供新機會的國家
  • 2029年災害應變與緊急管理領域人工智慧市場：新興細分市場機會
  • 2029年災害應變與緊急管理領域人工智慧市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r27396u

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.

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 rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $152.95 billion in 2025 at a compound annual growth rate (CAGR) of 8.5%. 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 $211.39 billion in 2029 at a compound annual growth rate (CAGR) of 8.4%. 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 forecast of 8.4% growth over the next five years reflects a modest reduction of 0.8% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Emergency preparedness may be weakened as tariffs limit access to AI-powered drone systems and geographic analysis tools imported from Europe and China. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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.

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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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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; 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
  • 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, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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