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Which emerging drivers are set to accelerate the growth of the artificial intelligence in disaster response and emergency management market further?
The increasing frequency and severity of disasters are expected to propel the growth of artificial intelligence in the disaster response and emergency management market going forward. Disasters are sudden, catastrophic events that cause significant harm, destruction, and disruption to communities, environments, and economies. A complex interplay of natural phenomena, human activities, and the impacts of climate change drives the frequency and severity of disasters. Artificial intelligence in disaster response and emergency management is used to analyze vast amounts of data from various sources to provide real-time insights, predict disaster impacts, optimize resource allocation, and improve decision-making during crises. For instance, In April 2022, according to EOS Data Analytics Inc., a US-based non-governmental organization, official accounts documented 321 confirmed deaths, 595 serious injuries, and over 10,000 minor injuries from a recent natural disaster. Furthermore, the government estimates that approximately 73,874 people have been displaced, with more than 62,000 homes sustaining damage. Therefore, the increasing frequency and severity of disasters are driving the growth of artificial intelligence in disaster response and emergency management.
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What are the key factors influencing the forecasted market size of the artificial intelligence in disaster response and emergency management industry?
The artificial intelligence in disaster response and emergency management market size has grown strongly in recent years. It will grow from $140.96 billion in 2024 to $154.22 billion in 2025 at a compound annual growth rate (CAGR) of 9.4%. The growth in the historic period can be attributed to increased frequency and severity of disasters, advances in artificial intelligence (AI), cost reduction and efficiency, data availability and integration, 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 $219.86 billion in 2029 at a compound annual growth rate (CAGR) of 9.3%. The growth in the forecast period can be attributed to AI-powered robotics and drones, integration with smart cities, climate change impact, AI-driven predictive analytics. Major trends in the forecast period include AI integration with disaster recovery plans, expansion of IoT and sensor networks, rise of AI-powered predictive analytics, adoption of AI-powered robotics and drones, smart cities and ai for disaster management.
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Who are the leading competitors 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
Which emerging trends are set to transform the artificial intelligence in disaster response and emergency management market landscape?
Major companies operating in artificial intelligence in disaster response and emergency management markets are developing new AI damage recovery solutions such as AI Property, to advance the assessment process. AI Property is an artificial intelligence solution enabling homeowners to swiftly assess and report external damage to buildings caused by natural disasters through a mobile-friendly app, expediting insurance claims and recovery processes. For instance, in January 2022, Tractable, a US-based software company, in collaboration with Verisk, a US-based analytics company, launched AI Property, an innovative tool for fast home damage assessment after natural disasters. This AI-powered solution allows homeowners to use a mobile-friendly app to quickly assess property damage by submitting photos to Tractable’s platform. The AI, trained on a database of claims, provides damage assessments to insurers within a day, a process that used to take months.
How do different geographies compare in terms of market share and growth potential 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.
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Which major segments of the artificial intelligence in disaster response and emergency management market are experiencing the fastest growth?
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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How is the artificial intelligence in disaster response and emergency management market defined?
Artificial intelligence in disaster response and emergency management refers to the utilization of AI technologies such as machine learning, natural language processing, and computer vision to enhance preparedness, response, and recovery efforts in the face of natural disasters, humanitarian crises, and other emergencies. AI enables emergency responders, government agencies, and humanitarian organizations to leverage data-driven insights and adaptive strategies to mitigate the impact of disasters, protect lives, and minimize damage to infrastructure and communities.
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