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Artificial Intelligence In Disaster Response And Emergency Management Market Outlook 2025-2034: Key Trends, Growth Drivers, and Market Share
Artificial Intelligence In Disaster Response And Emergency Management Market
The escalating occurrence and intensity of calamities are anticipated to stimulate the expansion of artificial intelligence within the disaster response and emergency management market. Catastrophes are abrupt, cataclysmic events which inflict significant damage, wreaking havoc on societies, ecosystems, and economies. The ever-increasing disaster incidents and their intensities are provoked by a mix of natural outbreaks, human activities along with changes in climate. Artificial intelligence technology is employed in disaster response and emergency management to scrutinize voluminous data from diverse resources, furnishing real-time understanding, predicting potential impacts, appropriate resource distribution, and enhancing decision-making during emergencies. To offer an example, Per EOS Data Analytics Inc., a non-governmental organization from the US, confirms that a recent natural disaster in April 2022 resulted in 321 deaths, 595 severe injuries, and more than 10,000 minor injuries. Moreover, government projections suggest around 73,874 individuals have been uprooted, with damages reported in more than 62,000 households. Hence, the escalating occurrence and intensity of catastrophic events are fuelling the development and expansion of artificial intelligence within disaster response and emergency management.
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How will the growth rate of the artificial intelligence in disaster response and emergency management market shape industry trends by 2034?
In the recent past, we've seen robust growth in the artificial intelligence for disaster response and emergency management market. The market value is set to increase from $140.96 billion in 2024 to $154.22 billion in 2025, representing a compound annual growth rate (CAGR) of 9.4%. This upward trend during the historic period can be tied to factors such as the rising occurrence and intensity of disasters, advancements in artificial intelligence (AI), reduction in costs and increased efficiency, availability and integration of data, as well as public safety concerns and government regulations.
In the forthcoming years, significant growth is projected in the market for artificial intelligence in disaster response and emergency management. The size of the market is predicted to increase to $219.86 billion in 2029 with a compound annual growth rate (CAGR) of 9.3%. The expansion during the forecast period is forecasted to be due to factors like AI-facilitated robotics and drones, integration with smart cities, the impact of climate change, and predictive analytics powered by AI. Key trends during this period include the combination of AI with disaster recovery strategies, enlargement of IoT and sensor networks, the emergence of AI-enhanced predictive analytics, the use of AI-aided robotics and drones, the partnership of smart cities, and AI in disaster management.
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What are the emerging trends shaping the future of the artificial intelligence in disaster response and emergency management market?
Key players in the market for artificial intelligence application in disaster response and emergency management are introducing innovative AI solutions, like AI Property, for enhancing damage evaluation methods. AI Property is a tool powered by artificial intelligence that allows residential property owners to promptly investigate and report any infrastructural damage caused by natural calamities via a user-friendly handheld device application, facilitating a quicker insurance claim and restoration procedures. For example, in January 2022, Tractable, an American software company, together with Verisk, a US-based data analytics firm, launched AI Property. This groundbreaking tool expedites damage evaluations of homes after natural calamities. This mobile-friendly AI solution enables property owners to rapidly inspect their property damages by uploading photos on Tractable's platform. The AI system, trained through a database of claims, delivers damage evaluation reports to insurers within twenty-four hours, dramatically reducing the processing duration, which previously required several months.
Which primary segments of the artificial intelligence in disaster response and emergency management market are driving growth and industry transformations?
The artificial intelligence in disaster response and emergency management market covered in this report is segmented -
1) By Type: Natural Language Processing (NLP), Machine Learning, Computer Vision, Robotics, Speech Recognition
2) By Technology: Remote Sensing, Internet of Things (IOT) Sensors, Geographic Information Systems (GIS), Drones And Unmanned Aerial Vehicles (UAVs), Cloud Computing, Big Data Analytics
3) By Application: Earthquake Prediction And Monitoring, Flood Detection And Management, Wildfire Monitoring And Prediction, Hurricane And Cyclone Tracking, Tsunami Early Warning Systems, Search And Rescue Operations, Damage Assessment And Recovery Planning
4) By End-User: Government Agencies And Authorities, Non-Governmental Organizations (NGOs), Research Institutions And Universities, Disaster Response Teams, Emergency Management Agencies
Subsegments:
1) By Natural Language Processing (NLP): Text Analysis And Summarization, Sentiment Analysis, Chatbots For Emergency Support
2) By Machine Learning: Predictive Analytics For Disaster Preparedness, Disaster Pattern Recognition, Risk Assessment Models
3) By Computer Vision: Damage Detection And Assessment, Surveillance And Monitoring, Object Recognition in Affected Areas
4) By Robotics: Autonomous Search And Rescue Drones, Robotic Disaster Response Units, Robotics For Hazardous Material Handling
5) By Speech Recognition: Voice-Based Emergency Response Systems, Voice Command Systems For Crisis Management, Emergency Call Management Systems
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Which geographical regions are pioneering growth in the artificial intelligence in disaster response and emergency management market?
North America was the largest region in the artificial intelligence in disaster response and emergency management market in 2024. The regions covered in the artificial intelligence in disaster response and emergency management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Who are the influential players reshaping the artificial intelligence in disaster response and emergency management market landscape?
Major companies operating in the artificial intelligence in disaster response and emergency management market report are Amazon Inc.; Alphabet Inc.; Microsoft Corporation; Huawei Technologies Co. Ltd.; Deloitte Touche Tohmatsu Limited; Hitachi Ltd.; Siemens AG; Raytheon Technologies Corporation; Intel Corporation; accenture* PLC; International Business Machines Corporation; Cisco Systems Inc.; General Dynamics Corporation; Northrop Grumman Corporation; Honeywell International Inc.; NVIDIA Corporation; BAE Systems plc; Thales Group; NEC Corporation; Leidos Holdings Inc.; Booz Allen Hamilton Holding Corporation; Motorola Solutions Inc.; Teledyne Technologies Incorporated; Palantir Technologies Inc
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What Is Covered In The Artificial Intelligence In Disaster Response And Emergency Management Global Market Report?
• Market Size Forecast: Examine the artificial intelligence in disaster response and emergency management market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence in disaster response and emergency management market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence in disaster response and emergency management market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence in disaster response and emergency management market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence in disaster response and emergency management market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence in disaster response and emergency management market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence in disaster response and emergency management market.
• Competitive Landscape: Review strategic developments in the artificial intelligence in disaster response and emergency management market, including expansions, agreements, and new product launches.
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