The Business Research Company’s global market reports are now updated with the latest market sizing information for the year 2024 and forecasted to 2033

Market Overview

• Current Market Size: The AI in disaster response and emergency management market has grown significantly, reaching $129.31 billion in 2023 and projected to grow to $140.96 billion in 2024 with a CAGR of 9%.
• Future Projections: Expected to expand to $201.41 billion by 2028, maintaining a strong CAGR of 9.3%.

Key Drivers of Growth

• Historic Period Drivers:
  • Increased frequency and severity of disasters.
  • Advances in artificial intelligence (AI).
  • Cost reduction and efficiency improvements.
  • Enhanced data availability and integration.
  • Public safety concerns and government mandates.
• Forecast Period Drivers:
  • AI-powered robotics and drones.
  • Integration with smart cities.
  • Impact of climate change.
  • AI-driven predictive analytics.

Major Trends

• AI Integration with Disaster Recovery Plans: Enhanced preparedness and response strategies.
• Expansion of IoT and Sensor Networks: Improved data collection and analysis.
• Rise of AI-Powered Predictive Analytics: Better prediction and mitigation of disaster impacts.
• Adoption of AI-Powered Robotics and Drones: Advanced capabilities in disaster response and recovery.
• Smart Cities and AI for Disaster Management: Integration of AI technologies in urban planning and management.

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Rising Disasters Fueling Growth

• Increasing Frequency and Severity:
  • Disasters, both natural and human-induced, are becoming more frequent and severe.
  • AI helps analyze vast data for real-time insights, predict impacts, optimize resource allocation, and improve decision-making during crises.
• Impact of Disasters:
  • According to the World Disasters Report 2022, disasters increased from 433 in 2020 to 529 in 2021, affecting 121.3 million people and causing 14,577 deaths.

Major Companies in the Market

• Leading Players: 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.

AI Solutions Transforming Disaster Response

• AI Damage Recovery Solutions:
  • Companies are developing AI solutions like AI Property to expedite damage assessment and recovery.
  • Example: Tractable, in collaboration with Verisk, launched AI Property in January 2022, enabling homeowners to quickly assess and report damage through a mobile app, speeding up insurance claims.

Strategic Acquisitions Enhancing AI Capabilities

• Tyler Technologies’ Acquisition of ARInspect:
  • In October 2023, Tyler Technologies acquired ARInspect to enhance its platform with AI-powered machine learning solutions.
  • This acquisition supports advanced public sector field operations, improving decision-making for government agencies.

Market Segmentation

• By Type: Natural Language Processing (NLP), Machine Learning, Computer Vision, Robotics, Speech Recognition.
• By Technology: Remote Sensing, IoT Sensors, Geographic Information Systems (GIS), Drones and Unmanned Aerial Vehicles (UAVs), Cloud Computing, Big Data Analytics.
• 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.
• By End-User: Government Agencies and Authorities, Non-Governmental Organizations (NGOs), Research Institutions and Universities, Disaster Response Teams, Emergency Management Agencies.

Regional Insights

• North America: The largest market in 2023, with extensive adoption of AI technologies for disaster response and emergency management.

The AI in disaster response and emergency management market is experiencing robust growth, driven by technological advancements and the increasing need for effective disaster management strategies. With major companies innovating and expanding their capabilities, the future of disaster response looks promising and transformative.

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The Artificial Intelligence In Disaster Response And Emergency Management Global Market Report 2024  provides an overview of the artificial intelligence in disaster response and emergency management market for the time series: historic years (2010 – 2021) and ten years forecast (2023 – 2032). The artificial intelligence in disaster response and emergency management market forecast analyzes artificial intelligence in disaster response and emergency management market size, artificial intelligence in disaster response and emergency management market share, leading competitor and their market positions.

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