How Has the Artificial Intelligence In Disaster Response And Emergency Management Market Size Evolved in Recent Years?
The artificial intelligence in disaster response and emergency management market has seen considerable growth due to a variety of factors.
• The market size for artificial intelligence in disaster response and emergency management has shown significant growth recently. The market will expand from $140.96 billion in 2024 to $154.22 billion in 2025, progressing at a compound annual growth rate (CAGR) of 9.4%.
The historic increase can be attributed to factors such as the rising frequency and intensity of disasters, developments in artificial intelligence (AI), cost reduction and efficiency gains, increased data accessibility and integration, and public safety requirements and government regulations.
What Are The Predictions for The Artificial Intelligence In Disaster Response And Emergency Management Market in the Coming Years?
The artificial intelligence in disaster response and emergency management market is expected to maintain its strong growth trajectory in upcoming years.
• The market for artificial intelligence in disaster response and emergency management is projected to experience robust growth in the coming years. The market value is anticipated to reach $219.86 billion by 2029, with a compound annual growth rate (CAGR) of 9.3%.
This upward trend during the forecast period can be linked to the deployment of AI-enabled robotics and drones, the synergy with smart cities, the influences of climate change, and the utilization of AI-based predictive analytics. Key trends during this forecast period encompass the fusion of AI with disaster recovery strategies, the proliferation of IoT and sensor networks, the emergence of AI-fueled predictive analytics, the increasing use of AI-empowered robotics and drones, the integration of smart cities, and the use of AI in disaster management.
Which Drivers Are Accelerating Growth In The Artificial Intelligence In Disaster Response And Emergency Management Market?
An escalation in disaster occurrence and intensity is anticipated to boost the advancement of artificial intelligence within the realm of disaster response and emergency management. Catastrophic events referred to as disasters occur unexpectedly, causing substantial detriment and upheaval to communities, ecosystems, and economic structures. These events are fueled by an intricate mix of natural occurrences, human activities, and climatic change repercussions. The role of artificial intelligence in disaster response and emergency management involves analyzing massive data volumes from multiple sources. This analysis provides real-time insight, predicts the ramifications of disasters, optimizes the distribution of resources, and enhances decision-making processes during crises. For instance, EOS Data Analytics Inc., a non-governmental body based in the US, reported in April 2022 that records indicated 321 deaths, 595 major injuries, and over 10,000 minor injuries following a recent natural disaster. Additionally, governmental projections suggest that roughly 73,874 individuals have been displaced, with approximately 62,000 homes reporting damage. Therefore, the growing incidence and intensity of disasters propel the demand for artificial intelligence in disaster response and emergency management.
What Are The Core Segments Of The Global Artificial Intelligence In Disaster Response And Emergency Management Market?
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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What New Trends Are Influencing The Artificial Intelligence In Disaster Response And Emergency Management Market?
Leading firms in the artificial intelligence sector for disaster response and emergency management are inventing new AI-driven damage recovery systems like "AI Property". This digital tool enhances the valuation procedure by equipping homeowners with a convenient mechanism to instantly identify and notify external damages to structures caused by natural calamities via an easy-to-use mobile app. This expedites the insurance claiming and restoration activities. To illustrate, Tractable, a software enterprise in the USA, partnered with Verisk, an American analytics firm, to introduce AI Property in January 2022 as a breakthrough device for rapid home damage assessment after natural incidents. This AI-enabled solution lets homeowners swiftly evaluate property damage by uploading images to the Tractable platform via an app that is simple to use on mobile devices. The AI, tutored with a claims' database, furnishes damage valuations to insurance companies within a day, compared to the previous duration of months.
Who Are the Key Players In The Artificial Intelligence In Disaster Response And Emergency Management Market?
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
What Are The Regional Insights Into 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.
