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2024 年灾难应变与紧急管理领域人工智慧全球市场报告

Artificial Intelligence In Disaster Response And Emergency Management Global Market Report 2024
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

灾害应变和紧急管理领域的人工智慧市场规模预计在未来几年将强劲成长。 2028年，将以9.3%的复合年增长率成长至2014.1亿美元。预测期内的预期成长也受到多种因素的推动，包括人工智慧驱动的机器人和无人机的采用、与智慧城市计画的整合、气候变迁影响的日益加大以及人工智慧主导的预测分析的使用等将被应用。预计将塑造这一格局的主要趋势包括将人工智慧融入灾害復原规划、物联网和感测器网路的扩展、人工智慧驱动的预测分析解决方案的兴起，以及在智慧城市环境中部署人工智慧进行灾难管理。机器人和无人机的使用。

灾害发生频率和强度的增加预计将推动人工智慧在灾害应变和紧急管理领域得到更多采用。灾害是对社区、环境和经济造成重大损害和破坏的突发灾难性事件，是自然现象、人类行为和气候变迁影响复杂相互作用的结果。灾难应变和紧急管理中的人工智慧解决方案可以分析来自不同资讯来源的大量资料，并提供即时见解，以预测灾难的影响，优化资源分配，并在危机期间为决策提供资讯。根据红十字会与红新月会国际联合会《2022年全球灾害报告》，2021年发生了529起灾害，影响约1.213亿人，造成14,577人死亡。这些统计数据凸显了人工智慧在减轻灾害影响方面日益重要。

灾难应变和紧急管理领域的领先人工智慧公司正在开发 AI Property 等创新的人工智慧主导解决方案，以简化损失评估流程。 AI Property 是一种人工智慧解决方案，旨在透过易于使用的行动应用程式帮助住宅快速评估和报告自然灾害对建筑物造成的外部损坏，从而加快保险申请和恢復程序。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，这是一种在自然灾害发生后快速评估住宅损坏的尖端工具。这种由人工智慧驱动的工具允许住宅透过行动应用程式向 Tractable 平台提交照片，以进行快速损害评估。经过保险申请资料库训练的人工智慧可以在一天内为保险公司提供损失评估，这比之前需要几个月的流程有了显着改善。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球灾难应变和紧急管理人工智慧市场：驱动因素和限制因素
    • 市场驱动因素
    • 市场限制因素
  • 全球人工智慧在灾难应变和紧急管理市场表现：规模和成长，2018-2023
  • 全球人工智慧在灾难应变和紧急管理市场预测：规模和成长，2023-2028，2033

第六章 市场细分

  • 全球人工智慧在灾难应变和紧急管理市场：按类型、实际和预测，2018-2023、2023-2028、2033
  • 自然语言处理（NLP）
  • 机器学习
  • 电脑视觉
  • 机器人技术
  • 语音辨识
  • 全球人工智慧在灾难应变和紧急管理市场的应用：按技术、性能和预测划分，2018-2023、2023-2028、2033
  • 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
  • 全球人工智慧在灾难应变和紧急管理市场：按应用、性能和预测，2018-2023、2023-2028、2033
  • 地震预测与监测
  • 洪水检测和管理
  • 野火监测与预测
  • 飓风和气旋跟​​踪
  • 海啸预警系统
  • 搜救行动
  • 损害评估和恢復计划
  • 全球人工智慧在灾难应变和紧急管理市场：按最终用户、实际和预测，2018-2023、2023-2028、2033
  • 政府机构和当局
  • 非政府组织（NGO）
  • 研究机构和大学
  • 救灾小组
  • 紧急管理机构

第 7 章 区域/国家分析

  • 全球人工智慧在灾难应变和紧急管理市场：按地区、绩效和预测，2018-2023、2023-2028、2033
  • 全球人工智慧在灾难应变和紧急管理市场：按国家、绩效和预测，2018-2023、2023-2028、2033

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14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20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 竞争格局及公司概况

  • 灾难应变与紧急管理中的人工智慧市场：竞争格局
  • 灾难应变与紧急管理中的人工智慧市场：公司简介
    • Amazon Inc.
    • Alphabet Inc.
    • Microsoft Corporation
    • Huawei Technologies Co. Ltd.
    • Deloitte Touche Tohmatsu Limited

第31章 其他大型创新企业

  • 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章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章前瞻性与潜力分析

第36章附录

简介目录
Product Code: r17693

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

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

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

The artificial intelligence in disaster response and emergency management market size has grown strongly in recent years. It will grow from $129.31 billion in 2023 to $140.96 billion in 2024 at a compound annual growth rate (CAGR) of 9%. The expansion observed in the historic period can be attributed to several key factors, including the heightened frequency and severity of disasters, advancements in artificial intelligence (AI) technologies, cost reduction and efficiency gains associated with AI implementation, increased availability and integration of data sources, and the emphasis on 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 $201.41 billion in 2028 at a compound annual growth rate (CAGR) of 9.3%. The anticipated growth in the forecast period is driven by several factors, notably the adoption of AI-powered robotics and drones, integration with smart city initiatives, the increasing impact of climate change, and the utilization of AI-driven predictive analytics. Key trends expected to shape the landscape include the integration of AI into disaster recovery plans, the expansion of IoT and sensor networks, the rise of AI-powered predictive analytics solutions, and the adoption of AI-powered robotics and drones for disaster management in smart city environments.

The escalating frequency and intensity of disasters are projected to drive the expansion of artificial intelligence adoption in the disaster response and emergency management sector. Disasters, being sudden and calamitous events causing substantial damage and disruption to communities, environments, and economies, result from a complex interplay of natural phenomena, human actions, and the effects of climate change. Artificial intelligence solutions in disaster response and emergency management are utilized for analyzing extensive data from diverse sources to offer real-time insights, forecast disaster impacts, optimize resource allocation, and enhance decision-making during crises. According to the World Disasters Report 2022 by the International Federation of Red Cross and Red Crescent Societies, there were 529 disasters in 2021, affecting approximately 121.3 million people and resulting in 14,577 documented deaths, marking an increase from the 433 disasters in 2020 that impacted around 99.0 million individuals and caused 15,396 fatalities. These statistics highlight the rising importance of artificial intelligence in mitigating the effects of disasters.

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 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 2023. 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 2024 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? 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

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

Scope

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

Table of Contents

1. Executive Summary

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

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

4. Artificial Intelligence In Disaster Response And Emergency Management Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Artificial Intelligence In Disaster Response And Emergency Management Market Size and Growth

  • 5.1. Global Artificial Intelligence In Disaster Response And Emergency Management Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Artificial Intelligence In Disaster Response And Emergency Management Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Artificial Intelligence In Disaster Response And Emergency Management Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

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, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Government Agencies And Authorities
  • Non-Governmental Organizations (NGOs)
  • Research Institutions And Universities
  • Disaster Response Teams
  • Emergency Management Agencies

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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Artificial Intelligence In Disaster Response And Emergency Management Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Artificial Intelligence In Disaster Response And Emergency Management Market, Segmentation By End-User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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.
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Alphabet Inc.
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Microsoft Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Huawei Technologies Co. Ltd.
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Deloitte Touche Tohmatsu Limited
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

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

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

35. Artificial Intelligence In Disaster Response And Emergency Management Market Future Outlook and Potential Analysis

  • 35.1 Artificial Intelligence In Disaster Response And Emergency Management Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Artificial Intelligence In Disaster Response And Emergency Management Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Artificial Intelligence In Disaster Response And Emergency Management Market In 2028 - 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