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災害対応と緊急管理における人工知能の世界市場レポート 2024年

Artificial Intelligence In Disaster Response And Emergency Management Global Market Report 2024
出版日: | 発行: The Business Research Company | ページ情報: 英文 175 Pages | 納期: 2～10営業日

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災害対応と緊急管理における人工知能の世界市場レポート 2024年
出版日: 2024年06月24日
発行: The Business Research Company
ページ情報: 英文 175 Pages
納期: 2～10営業日
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  • 概要
  • 目次
概要

災害対応と緊急管理における人工知能市場規模は、今後数年間で力強い成長が見込まれます。2028年にはCAGR9.3％で2,014億1,000万米ドルに成長します。予測期間中に予想される成長は、特にAIを搭載したロボットやドローンの採用、スマートシティ構想との統合、気候変動の影響の増大、AI主導の予測分析の活用など、いくつかの要因によってもたらされます。情勢を形成すると予想される主な動向には、災害復旧計画へのAIの統合、IoTとセンサーネットワークの拡大、AIを搭載した予測分析ソリューションの台頭、スマートシティ環境における災害管理のためのAI搭載ロボットとドローンの採用などがあります。

災害の頻度と激しさの増大は、災害対応と緊急管理分野における人工知能の採用拡大を促進すると予測されます。災害は、コミュニティ、環境、経済に多大な損害と混乱をもたらす突発的で災難的な出来事であり、自然現象、人間の行動、気候変動の影響の複雑な相互作用から生じる。災害対応や緊急管理における人工知能ソリューションは、多様な情報源からの膨大なデータを分析し、リアルタイムの洞察を提供し、災害の影響を予測し、資源配分を最適化し、危機時の意思決定を強化するために活用されています。国際赤十字・赤新月社連盟の「世界災害報告書2022」によると、2021年には529件の災害が発生し、約1億2,130万人が影響を受け、1万4577人が死亡しました。これらの統計は、災害の影響を軽減する上で人工知能の重要性が高まっていることを浮き彫りにしています。

災害対応・緊急管理分野の人工知能を扱う大手企業は、AI Propertyのような革新的なAI主導型ソリューションを開発し、被害評価プロセスを合理化しています。AI Propertyは、住宅所有者が使いやすいモバイルアプリを通じて、自然災害による建物の外部損傷を迅速に評価・報告できるように設計された人工知能ソリューションで、これにより保険金請求や復旧手続きを迅速化します。例えば、2022年1月、米国のソフトウェア会社であるTractableは、米国の分析会社であるVeriskと提携し、自然災害後の住宅損傷を迅速に評価するための最先端ツールであるAI Propertyを発表しました。このAIを搭載したツールは、住宅所有者がモバイルアプリを通じてTractableのプラットフォームに写真を提出し、迅速な損害査定を可能にします。保険金請求のデータベースで訓練されたAIは、保険会社に1日以内に損害査定を提供し、これまで数ヶ月かかっていたプロセスと比較して大幅に改善されました。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界の市場規模と成長

  • 世界の災害対応と緊急管理における人工知能市場：促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 世界の災害対応と緊急管理における人工知能市場の実績：規模と成長、2018年～2023年
  • 世界の災害対応と緊急管理における人工知能市場の予測：規模と成長、2023年～2028年、2033年

第6章 市場セグメンテーション

  • 世界の災害対応と緊急管理における人工知能市場：タイプ別、実績と予測、2018年～2023年、2023年～2028年、2033年
  • 自然言語処理（NLP）
  • 機械学習
  • コンピュータビジョン
  • ロボット工学
  • 音声認識
  • 世界の災害対応と緊急管理における人工知能市場：技術別、実績と予測、2018年～2023年、2023年～2028年、2033年
  • リモートセンシング
  • モノのインターネット（IOT）センサー
  • 地理情報システム（GIS）
  • ドローンと無人航空機（UAV）
  • クラウドコンピューティング
  • ビッグデータ分析
  • 世界の災害対応と緊急管理における人工知能市場：用途別、実績と予測、2018年～2023年、2023年～2028年、2033年
  • 地震予測と監視
  • 洪水検知と管理
  • 山火事の監視と予測
  • ハリケーンとサイクロン追跡
  • 津波早期警報システム
  • 捜索救助活動
  • 被害評価と復旧計画
  • 世界の災害対応と緊急管理における人工知能市場：エンドユーザー別、実績と予測、2018年～2023年、2023年～2028年、2033年
  • 政府機関および当局
  • 非政府組織（NGO）
  • 調査機関および大学
  • 災害対応チーム
  • 緊急管理機関

第7章 地域別・国別分析

  • 世界の災害対応と緊急管理における人工知能市場：地域別、実績と予測、2018年～2023年、2023年～2028年、2033年
  • 世界の災害対応と緊急管理における人工知能市場：国別、実績と予測、2018年～2023年、2023年～2028年、2033年

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • 災害対応と緊急管理における人工知能市場：競合情勢
  • 災害対応と緊急管理における人工知能市場：企業プロファイル
    • Amazon Inc.
    • Alphabet Inc.
    • Microsoft Corporation
    • Huawei Technologies Co. Ltd.
    • Deloitte Touche Tohmatsu Limited

第31章 その他の大手企業と革新的企業

  • 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 競合ベンチマーキング

第33章 競合ダッシュボード

第34章 主要な合併と買収

第35章 将来の見通しと潜在的な分析

第36章 付録

目次
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

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for artificial intelligence in disaster response and emergency management? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence in disaster response and emergency management market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

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

The 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