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市场调查报告书
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2025年全球灾害应变与紧急管理人工智慧市场报告

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个工作天内

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近年来，人工智慧在灾害应变和紧急管理领域的市场规模呈现强劲成长，预计将从2024年的1,409.6亿美元成长到2025年的1,529.5亿美元，复合年增长率达8.5%。这一增长主要归因于灾害发生频率和严重程度的增加、人工智慧（AI）技术的进步、成本降低和效率提升、数据可用性和整合以及公共和政府指令。

预计未来几年，人工智慧在灾害应变和紧急管理领域的市场将保持强劲成长，到2029年市场规模将达到2,113.9亿美元，复合年增长率（CAGR）为8.4%。预测期内的成长驱动因素包括人工智慧机器人和无人机、与智慧城市的融合、气候变迁的影响以及人工智慧预测分析。预测期内的关键趋势包括人工智慧与灾害復原规划的融合、物联网和感测器网路的扩展、人工智慧预测分析的兴起、人工智慧机器人和无人机的应用、智慧城市以及人工智慧在灾害管理中的应用。

人工智慧（AI）在灾害应变和紧急管理的应用，是指利用机器学习、自然语言处理和电脑视觉等人工智慧技术，提升自然灾害、人道危机和其他紧急情况下的准备、应变和復原工作。借助人工智慧，紧急应变、政府机构和人道主义组织可以利用数据主导的洞察和适应性策略，最大限度地减少灾害影响，挽救生命，并保护基础设施和社区。

灾害应变和紧急管理中使用的主要人工智慧类型包括自然语言处理 (NLP)、机器学习、电脑视觉、机器人技术和语音辨识。自然语言处理 (NLP) 使电脑能够理解、解释和产生人类语言，用于文本分析和语言翻译等任务。包括遥感探测、物联网 (IoT) 感测器、地理资讯系统 (GIS)、无人机和无人飞行器 (UAV)、云端处理和巨量资料分析在内的各种技术正被应用于地震预测和监测、洪水侦测和管理、野火监测和预报、飓风和气旋追踪、海啸预警系统、搜救行动以及灾害评估和復原规划等领域。灾害应变和紧急管理中人工智慧的最终使用者包括政府机构和部门、非政府组织 (NGO)、研究机构和大学、灾害应变团队以及紧急管理组织。这些相关人员正在合作，以有效利用人工智慧技术来准备、回应和恢復各种类型的灾害和紧急情况。

美国关税的突然上调以及由此引发的贸易摩擦，在2025年春季对资讯科技产业，尤其是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税提高，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间週期和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该行业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性并简化成本管理。

《人工智慧在灾害应变和紧急管理中的应用市场研究报告》是商业研究公司最新发布的系列报告之一，提供人工智慧在灾害应变管理领域的市场统计数据，例如全球市场规模、区域份额、竞争对手及其市场份额、详细的市场细分、市场趋势和商业机会。这份人工智慧在灾害应变和紧急管理领域的市场研究报告对该行业的现状和未来发展趋势进行了深入分析，为您提供所需的一切观点。

未来五年8.4%的预测成长率较我们先前对该市场的预测略微下调了0.8%。这一下调主要归因于美国与其他国家之间的关税影响。关税可能会限制从欧洲和中国进口的人工智慧无人机系统和区域分析工具的获取，从而削弱紧急准备能力。此外，相互关税以及不断升级的贸易紧张局势和限制措施对全球经济和贸易造成的负面影响也将使这种影响更加广泛。

预计未来灾害发生频率和严重程度的增加将推动人工智慧（AI）在灾害应变和紧急管理领域的市场成长。灾害是指突发性、灾难性事件，会对社区、环境和经济造成重大损害、破坏和中断。此类事件发生频率和强度的增加是自然现象、人类活动和气候变迁影响之间复杂相互作用的结果。人工智慧在灾害应变和紧急管理中的应用，旨在分析来自多个资讯来源的大量资料集，提供即时洞察，预测灾害影响，优化资源分配，并增强危机期间的决策能力。例如，2022年4月，总部位于美国的非政府组织EOS Data Analytics Inc.正式报告称，近期发生的自然灾害造成321人死亡、595人重伤和超过10,000人轻伤。此外，根据政府估计，约有73874人失去家园，超过62,000栋房屋受损。因此，灾害发生的频率和严重程度不断增加，推动了人工智慧在灾害应变和紧急管理领域的应用。

在灾害应变和紧急管理领域，主要企业正在开发创新的人工智慧主导解决方案，例如AI Property，以简化损失评估流程。 AI Property是一款人工智慧解决方案，旨在帮助房主透过用户友好的行动应用程式快速评估和报告自然灾害造成的房屋外部损坏，从而加快保险索赔和灾后復原程序。例如，2022年1月，美国软体公司Tractable与美国分析公司Verisk合作推出了AI Property，这是一款用于快速评估自然灾害后房屋损坏的尖端工具。这款人工智慧工具允许房主透过行动应用程式向Tractable平台提交照片，从而实现快速的损失评估。该人工智慧系统基于保险索赔资料库进行训练，可在一天内为保险公司提供损失评估结果，与之前需要数月的时间相比，这是一个显着的改进。

2023年10月，总部位于美国的软体公司Tyler Technologies完成了对ARInspect的收购，并未揭露金额。此次策略性收购将ARInspect的人工智慧驱动型机器学习解决方案融入Tyler Technologies的平台，增强其功能，为公共部门现场作业提供更先进的能力，并协助政府机构做出更明智的决策。 ARInspect是一家总部位于美国的机器人流程自动化公司，利用人工智慧技术为参与灾害应变的各类机构提供解决方案，包括警察灾害应变总部、紧急消防救援队和日本自卫队。

灾害应变和紧急管理领域的人工智慧市场由提供认知服务、自然语言处理服务、紧急通讯、地理空间资讯服务和风险管理服务等服务的营业单位所获得的收入所构成。市场价值还包括服务供应商销售的或包含在其服务产品中的相关商品的价值。灾害应变和紧急管理领域的人工智慧市场还包括用于提供服务的灾害应变机器人、影像处理设备、遥感探测设备和控制系统的销售。该市场的价值为“出厂价”，即商品製造商或生产商向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户销售的商品价值。该市场中的商品价值还包括商品製造商提供的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球灾害应变与紧急管理中的人工智慧：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球灾害应变与紧急管理领域人工智慧市场：成长率分析
  • 全球灾害应变与紧急管理领域人工智慧市场表现：规模与成长，2019-2024 年
  • 全球灾害应变与紧急管理领域人工智慧市场预测：规模与成长，2024-2029年，2034年
  • 全球灾害应变和紧急管理中的人工智慧：潜在市场规模 (TAM)

第六章 市场细分

  • 全球灾害应变与紧急管理领域人工智慧市场：按类型、性能和预测划分，2019-2024年、2024-2029年、2034年
  • 自然语言处理（NLP）
  • 机器学习
  • 电脑视觉
  • 机器人技术
  • 语音辨识
  • 全球灾害应变与紧急管理领域人工智慧市场：按技术、性能和预测划分，2019-2024年、2024-2029年、2034年
  • 遥感探测
  • 物联网 (IoT) 感测器
  • 地理资讯系统（GIS）
  • 无人机和无人驾驶飞行器（UAV）
  • 云端运算
  • 巨量资料分析
  • 全球灾害应变与紧急管理领域人工智慧市场：按应用、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 地震预测与监测
  • 洪水探测与管理
  • 野火监测和预测
  • 飓风和气旋追踪
  • 海啸预警系统
  • 搜救行动
  • 损失评估和恢復计划
  • 全球灾害应变与紧急管理领域人工智慧市场：按最终用户、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 政府机构和当局
  • 非政府组织（NGO）
  • 研究机构和大学
  • 灾害应变小组
  • 紧急管理机构
  • 全球灾害应变与紧急管理人工智慧市场：按自然语言处理 (NLP)、类型、效能和预测进行细分，2019-2024 年、2024-2029 年、2034 年
  • 文本分析与摘要
  • 情绪分析
  • 用于紧急支援的聊天机器人
  • 全球灾害应变与紧急管理人工智慧市场：按机器学习（类型）、性能和预测细分，2019-2024年、2024-2029年、2034年
  • 灾害防备的预测分析
  • 灾害模式识别
  • 风险评估模型
  • 全球灾害应变与紧急管理人工智慧市场：按电脑视觉（类型）、性能和预测细分，2019-2024年、2024-2029年、2034年
  • 损伤检测与评估
  • 监视与监测
  • 灾区物体识别
  • 全球灾害应变与紧急管理人工智慧市场：按机器人技术、类型、性能和预测进行细分，2019-2024年、2024-2029年、2034年
  • 自主搜救无人机
  • 机器人灾害应变单元
  • 危险物料输送机器人
  • 全球人工智慧在灾害应变管理领域的市场：语音辨识细分（按类型）、效能和预测，2019-2024年、2024-2029年、2034年
  • 基于语音的紧急应变系统
  • 用于危机管理的语音控制系统
  • 紧急呼叫管理系统

第七章 区域和国家分析

  • 全球灾害应变与紧急管理人工智慧市场：按地区、绩效和预测划分，2019-2024年、2024-2029年、2034年
  • 全球灾害应变与紧急管理人工智慧市场：国家、绩效与预测，2019-2024年、2024-2029年、2034年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧在灾害应变和紧急管理的应用：竞争格局
  • 灾害应变与紧急管理中的人工智慧市场：公司概况
    • 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：其他领先和创新企业

  • 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 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年灾害应变与紧急管理领域人工智慧市场：提供新机会的国家
  • 2029年灾害应变与紧急管理领域人工智慧市场：新兴细分市场机会
  • 2029年灾害应变与紧急管理领域人工智慧市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
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