Hazard Warning Crowd Data Market Report 2026

The hazard warning crowd data market size has grown rapidly in recent years. It will grow from $2.53 billion in 2025 to $2.97 billion in 2026 at a compound annual growth rate (CAGR) of 17.3%. The growth in the historic period can be attributed to increasing smartphone penetration, growth of social media-based reporting, expansion of urban monitoring systems, rising demand for real-time safety information, adoption of cloud-based analytics platforms.

The hazard warning crowd data market size is expected to see rapid growth in the next few years. It will grow to $5.66 billion in 2030 at a compound annual growth rate (CAGR) of 17.5%. The growth in the forecast period can be attributed to increasing investments in public safety technologies, rising use of AI-driven risk prediction, expansion of smart city initiatives, growing demand for integrated safety intelligence, increasing focus on proactive hazard mitigation. Major trends in the forecast period include increasing adoption of crowd-sourced hazard reporting platforms, rising deployment of real-time alert and notification systems, growing integration of geospatial risk analytics, expansion of predictive hazard intelligence tools, enhanced focus on data accuracy and trust.

The growing deployment of connected sensors is anticipated to drive the expansion of the hazard warning crowd data market in the coming years. Connected sensors are internet-enabled devices integrated into homes, wearables, energy systems, appliances, and security solutions that gather, transmit, and share real-time data to facilitate monitoring, automation, and intelligent decision-making. This increased deployment of connected sensors is fueled by the rapid growth of Internet of Things (IoT) infrastructure and the rising need for real-time data and automation across sectors, as organizations and cities deploy sensor networks to monitor operations, boost efficiency, enable predictive maintenance, enhance situational awareness, and support data-driven decision-making in manufacturing, logistics, smart cities, and safety systems. Hazard warning crowd data complements connected sensors by collecting and analyzing real-time inputs from IoT devices, wearables, cameras, and environmental sensors, enabling quicker risk detection, improved situational awareness, and timely alerts that reinforce public safety, emergency response, and crowd management effectiveness. For example, in September 2025, Eurostat, the Luxembourg-based statistical office of the European Union (EU), reported that in 2024, 76% of EU internet users employed internet-connected devices, with 67% using smart home entertainment solutions, followed by wearables (32%), smart energy management systems (15%), smart home appliances (14%), and internet-connected home safety and security systems (13%). Therefore, the growing deployment of connected sensors is driving the expansion of the hazard warning crowd data market.

Key companies operating in the hazard warning crowd data market are focusing on developing innovative solutions, such as AI-powered real-time interoperability and alert management platforms, to meet the rising demand for dynamic, real-time hazard data collection, rapid response coordination, and enhanced public safety during emergencies, natural disasters, and large events. These platforms use artificial intelligence (AI) and machine learning to ingest, analyze, and disseminate crowd and hazard data from multiple sources (including mobile devices, sensors, and surveillance systems) far more rapidly and accurately than traditional methods that relied on manual reporting and slower, less integrated communication systems, enabling authorities to detect threats and coordinate responses proactively. For example, in January 2026, RapidSOS, a US-based public safety AI company, launched Real Time Interoperability with HARMONY AI, an advanced capability designed to automate emergency coordination by allowing live call summaries, AI-generated transcripts, and mission-critical data to flow seamlessly across jurisdictional boundaries in real time; this technology enhances situational awareness for emergency dispatchers and first responders by securely connecting and sharing contextual information from diverse data streams, drastically reducing response times and improving public safety outcomes.

In July 2024, Thoma Bravo LLC, a US-based private equity firm, acquired Everbridge Inc. for $1.8 billion. With this acquisition, Thoma Bravo LLC seeks to strengthen its position in the critical event management and public safety software market by enhancing capabilities in hazard warning, emergency communications, and situational awareness. Everbridge, Inc. is a US-based technology company specializing in critical event management platforms, public warning systems, real-time emergency alerting, and risk intelligence solutions for governments and enterprises.

Major companies operating in the hazard warning crowd data market are Siemens AG, Honeywell International Inc., Hexagon AB, Environmental Systems Research Institute Inc., HERE Global B.V., TomTom International B.V., Everbridge Inc., Genetec Inc., AccuWeather Inc., Dataminr Inc., Mapbox Inc., AlertMedia Inc., INRIX Inc., Crowd Connected Ltd., HAAS Alert Inc., Ushahidi Inc., CrowdStrike Holdings Inc., Swarm Technologies Inc., HazView LLC, and Alertus Technologies.

Tariffs are influencing the hazard warning crowd data market by increasing costs of imported sensors, communication devices, data storage hardware, and cloud infrastructure components used in data collection and processing systems. Government agencies and enterprise users in North America and Europe are most affected due to reliance on imported technology infrastructure, while Asia-Pacific faces cost pressures in platform scaling and hardware sourcing. These tariffs are increasing implementation costs and slowing some deployment initiatives. However, they are also driving local technology development, regional cloud infrastructure investments, and innovation in software-centric hazard intelligence solutions.

The hazard warning crowd data market research report is one of a series of new reports that provides hazard warning crowd data market statistics, including hazard warning crowd data industry global market size, regional shares, competitors with a hazard warning crowd data market share, detailed hazard warning crowd data market segments, market trends and opportunities, and any further data you may need to thrive in the hazard warning crowd data industry. This hazard warning crowd data 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.

Hazard warning crowd data refers to the system focused on gathering, aggregating, analyzing, and distributing hazard-related information generated by individuals, connected devices, and digital platforms in real time. It utilizes technologies such as data analytics, cloud computing, geolocation services, and intelligent algorithms to convert crowd-sourced inputs into actionable safety alerts and situational awareness insights. This supports prompt risk detection, rapid response coordination, and enhanced decision-making by delivering accurate and dynamic hazard intelligence across varied environments.

The main components of hazard warning crowd data include software, hardware, and services. Software refers to platforms that gather, analyze, and visualize crowd and hazard-related data to provide real-time alerts and predictive insights. These solutions are deployed via cloud, on-premises, and hybrid models and leverage various data sources, such as mobile devices, social media, surveillance systems, and sensors. They are applied across multiple sectors, including public safety, disaster management, event management, transportation, urban planning, and other applications, serving a broad range of end-users, including government agencies, emergency services, transportation authorities, event organizers, and enterprises.

The hazard warning crowd data includes revenues earned by entities by providing services such as real-time hazard reporting, crowd-sourced incident data collection, geospatial risk mapping, alert and notification services, data analytics and visualization, predictive hazard insights, and integrated safety intelligence platforms. The market value includes the value of related goods sold by the service provider or included within the service offering. The hazard warning crowd data also includes sales of crowd-sourced hazard data platforms, real-time warning and alert systems, geospatial analytics solutions, risk intelligence software, application programming interface-based hazard data feeds, and integrated safety monitoring tools. 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.

This product will be delivered within 1-3 business days.