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1499789

2024 年災難應變與緊急管理領域人工智慧全球市場報告

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個工作天內

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簡介目錄

災害應變和緊急管理領域的人工智慧市場規模預計在未來幾年將強勁成長。 2028年，將以9.3%的複合年成長率成長至2014.1億美元。預測期內的預期成長也受到多種因素的推動，包括人工智慧驅動的機器人和無人機的採用、與智慧城市計畫的整合、氣候變遷影響的日益加大以及人工智慧主導的預測分析的使用等將被應用。預計將塑造這一格局的主要趨勢包括將人工智慧融入災害復原規劃、物聯網和感測器網路的擴展、人工智慧驅動的預測分析解決方案的興起，以及在智慧城市環境中部署人工智慧進行災難管理。機器人和無人機的使用。

災害發生頻率和強度的增加預計將推動人工智慧在災害應變和緊急管理領域得到更多採用。災害是對社區、環境和經濟造成重大損害和破壞的突發災難性事件，是自然現象、人類行為和氣候變遷影響複雜相互作用的結果。災難應變和緊急管理中的人工智慧解決方案可以分析來自不同資訊來源的大量資料，並提供即時見解，以預測災難的影響，最佳化資源分配，並在危機期間為決策提供資訊。根據紅十字會與紅新月會國際聯合會《2022年全球災害報告》，2021年發生了529起災害，影響約1.213億人，造成14,577人死亡。這些統計數據凸顯了人工智慧在減輕災害影響方面日益重要。

災難應變和緊急管理領域的領先人工智慧公司正在開發 AI Property 等創新的人工智慧主導解決方案，以簡化損失評估流程。 AI Property 是一種人工智慧解決方案，旨在透過易於使用的行動應用程式幫助住宅快速評估和報告自然災害對建築物造成的外部損壞，從而加快保險申請和恢復程序。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，這是一種在自然災害發生後快速評估住宅損壞的尖端工具。這種由人工智慧驅動的工具允許住宅透過行動應用程式向 Tractable 平台提交照片，以進行快速損害評估。經過保險申請資料庫訓練的人工智慧可以在一天內為保險公司提供損失評估，這比之前需要幾個月的流程有了顯著改善。

目錄

第1章執行摘要

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章世界市場規模與成長

  • 全球災難應變和緊急管理人工智慧市場：促進因素和限制因素
    • 市場促進因素
    • 市場限制因素
  • 全球人工智慧在災難應變和緊急管理市場表現：規模和成長，2018-2023
  • 全球人工智慧在災難應變和緊急管理市場預測：規模和成長，2023-2028，2033

第6章 市場細分

  • 全球人工智慧在災難應變和緊急管理市場：按類型、實際和預測，2018-2023、2023-2028、2033
  • 自然語言處理（NLP）
  • 機器學習
  • 電腦視覺
  • 機器人技術
  • 語音辨識
  • 全球人工智慧在災難應變和緊急管理市場的應用：按技術、性能和預測分類，2018-2023、2023-2028、2033
  • 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
  • 全球人工智慧在災難應變和緊急管理市場：按應用、性能和預測，2018-2023、2023-2028、2033
  • 地震預測與監測
  • 洪水檢測和管理
  • 野火監測與預測
  • 颶風和氣旋跟​​踪
  • 海嘯預警系統
  • 搜救行動
  • 損害評估和恢復計劃
  • 全球人工智慧在災難應變和緊急管理市場：按最終用戶、實際和預測，2018-2023、2023-2028、2033
  • 政府機構和當局
  • 非政府組織（NGO）
  • 研究機構和大學
  • 救災小組
  • 緊急管理機構

第 7 章 區域/國家分析

  • 全球人工智慧在災難應變和緊急管理市場：按地區、績效和預測，2018-2023、2023-2028、2033
  • 全球人工智慧在災難應變和緊急管理市場：按國家、績效和預測，2018-2023、2023-2028、2033

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 競爭格局及公司概況

  • 災難應變與緊急管理中的人工智慧市場：競爭格局
  • 災難應變與緊急管理中的人工智慧市場：公司簡介
    • Amazon Inc.
    • Alphabet Inc.
    • Microsoft Corporation
    • Huawei Technologies Co. Ltd.
    • Deloitte Touche Tohmatsu Limited

第31章 其他大型創新企業

  • 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章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章前瞻性與潛力分析

第36章附錄

簡介目錄
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.

Reasons to Purchase

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  • Measure the impact of high global inflation on market growth.
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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