Public Safety Analytics Market Size and Forecast – 2025 to 2032
The global public safety analytics market size was valued at USD 12,141.2 Mn in 2025 and is expected to reach USD 43,084.5 Mn by 2032, grow at a compound annual growth rate (CAGR) of 19.8% from 2025 to 2032.
Key Takeaways
- Based on Type of Analytics, Descriptive analytics dominates the market with market share of 42.1%, primarily because it focuses on analyzing historical data to understand past behaviors and trends, which is essential for businesses to evaluate their performance.
- Based on component, Software segment dominant the market, as it gives businesses the capability to gather, organize, and analyze data more efficiently and effectively.
- Based on deployment mode, Cloud-based deployment mode has captured the biggest share of the total addressable market, due to the scale and flexibility it affords businesses, and typically lower upfront costs.
- By end use sector, the Law Enforcement segment dominates due to the increasing adoption of AI and analytics in predictive policing, surveillance systems, and crime prevention.
- By application, the Crime Analytics segment dominates due to the widespread use of AI-driven tools for predictive policing, crime pattern recognition, and real-time incident analysis.
- By size of organization, Large Enterprises segment dominates due to their greater resources for adopting advanced public safety analytics and the need for scalable, enterprise-level solutions.
- By User Type, the Government Agencies segment dominates due to their primary responsibility for public safety, law enforcement, and emergency management operations, driving the demand for large-scale analytics solutions.
- By Data Sources, the Unstructured Data segment dominates due to the increasing use of social media, video surveillance, and sensor data, which require advanced analytics to derive actionable insights.
- North America is expected to be the largest market for public safety analytics during the forecast period, accounting for over 33.6% of the market share in 2025. This is due to the early adoption of analytics, the presence of leading vendors, and investments in smart city and safe city projects.
Market Overview
The growing need for enhanced security and risk management is driving the Public Safety Analytics market growth. The purpose of increased analytics in situations involving law enforcement, emergency response, and public safety operations is to inform better decision-making while improving response times. Due to improved threat indicators and the growing use of analytics and data-driven solutions, greater investments are being made in public safety analytics. Predictive analytics, artificial intelligence, machine learning, and other related capabilities are making citizens safer through better threat identification, crime prevention and allocation of public resources. For governments and other organizations, allocating resources for public safety analytics will be a priority in order to better safeguard citizens. Urban situations are becoming more complex; security challenges are morphing; therefore, more sophisticated public safety solutions will become more critical.
Current Events and Its Impact
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Role of Artificial Intelligence (AI)
Artificial Intelligence (AI) has been integrated into public safety analytics. AI is revolutionizing the future of how law enforcement, emergency services, and government organizations will predict, respond to, and manage public safety challenges. AI-powered tools will enhance public safety efforts by providing predictive policing, real-time threat detection, automated resource allocation, and intelligent surveillance. These tools can analyze large volumes of data collected from multiple sources, allowing both informed and timely decisions. AI-driven systems can identify patterns, predict crime hot-spots, or help better deploy emergency services — all of which play a significant role in speeding up public safety responses and improving the likelihood of optimal interventions.
In June 2024, Amazon Web Services (AWS) announced their partnership with Dallas, Texas to bring AI-powered crime analytics into the city’s public safety operations. In particular, AWS indicated that they will use machine learning and AI algorithms to analyze real-time data from surveillance cameras, sensor networks, and 911 calls to inform the public safety organization of crime hot-spots and to better deploy police.
Public Safety Analytics Market Insights, By Type of Analytics: Descriptive analytics dominates due to ease of implementation
Descriptive analytics dominates the market with market share of 42.1%, primarily because it focuses on analyzing historical data to understand past behaviors and trends, which is essential for businesses to evaluate their performance. Most types of businesses can all obtain descriptive analytics due to its parsability, ease of implementation, level of technical skills required are significantly less than that of predictive or prescriptive analytics, and it is implemented to more attention from wider audiences for reporting and through communicating with others. Implementing analytics also provide businesses with actionable insights from most descriptive analytics that can be used immediately in their business activities. The categorical application of descriptive analytics for most industries further supports that it will remain dominant.
For example, in 2024, Meta announced that it had expanded its analytics suite to better serve businesses by offering easy-to-understand dashboards and more refined reporting tools. This change aimed to help businesses more efficiently analyze historical data, track trends in audience behavior, and optimize ad campaigns with minimal technical input.
Public Safety Analytics Market Insights, By Component: Software segment dominant due to efficiency and effectiveness
Software segment dominant the market, as it gives businesses the capability to gather, organize, and analyze data more efficiently and effectively. Software solutions, especially those that utilize AI and machine-learning, are important as they let companies automate data-driven decisions. Additionally, software solutions typically allow for better scalability and flexibility which provides a greater return on investment, not to mention the ways that it enables data managers to operate the business environment for data effectively and legitimately. The perpetual desire for real-time insights backed by proper record keeping for data management will only continue to push overall demand for software higher. Folks recognize services as mere adjuncts to their software solutions, despite what services can offer as well.
In April 2025, First Due, a leading software platform for public safety agencies, announced a $355 million strategic minority growth investment led by JMI Equity, with participation from TCV and continued support from Serent Capital.
Public Safety Analytics Market Insights, By Deployment: Cloud-based deployment dominant due to flexibility
The cloud-based deployment mode has captured the biggest share of the total market, due to the scale and flexibility it affords businesses, and typically lower upfront costs. The ability for businesses to access analytics resources in the cloud increases collaboration, enhances access to resources, and facilitates remote work. Compared to alternatives, cloud solutions can require less maintenance of hardware and network infrastructure, and can enable upgrades and security updates more quickly. As public safety organizations increasingly prioritize digitization and implement remote work policies, their decision-making may increasingly rely on access to cloud-based services. This is further proliferating the public safety market revenue.
In March 2024, Google Cloud launched an expanded suite of public safety analytics tools designed to help law enforcement and emergency response teams improve decision-making and response times. These tools leverage Google’s AI-powered cloud infrastructure to provide real-time data processing, predictive analytics, and advanced crime mapping.
Regional Insights

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North America Public Safety Analytics Market Trends
North America is expected to be the largest market for public safety analytics during the forecast period, accounting for over 33.60% of the market share in 2025. The growth of the market in North America is attributed to the early adoption of analytics, the presence of leading vendors, and investments in smart city and safe city projects.
In 2024, the U.S. Department of Homeland Security (DHS) announced a new $200 million initiative to accelerate the use of AI and data analytics in public safety across U.S. cities. The initiative aims to bolster the adoption of smart city technologies, with a focus on predictive analytics for crime prevention, disaster response, and emergency management.
Asia Pacific Public Safety Analytics Market Trends
Asia Pacific market is expected to be the fastest-growing market for public safety analytics, with a CAGR of over 26.7% during the forecast period. The growth of the market in Asia Pacific is attributed to increasing government investments in surveillance infrastructure.
In 2024, Japan introduced a new AI-powered public safety analytics platform aimed at improving disaster preparedness and emergency response. Developed by NEC Corporation and the Japanese Ministry of Internal Affairs and Communications, this platform uses predictive analytics to simulate natural disaster scenarios, track real-time conditions, and provide actionable insights to emergency response teams.
U.S Public Safety Analytics Market Trends
The U.S. is the leading country in the public safety analytics market with a 27.7% share of the market, driven by the early adoption of AI solutions, government investment, and key industry players.
In August 2024, Palantir Technologies and Microsoft announced a partnership to enhance analytics and AI services for classified national security networks. The partnership aims to take advantage of Palantir’s data integration capabilities and Microsoft’s cloud and AI capabilities to support national security operations.
China Public Safety Analytics Market Trends
China has an 8.1% share of the total public safety analytics market, driven by the rapid development of smart city technologies and surveillance infrastructure in the country. China has invested heavily in AI-powered facial recognition systems and predictive policing to enhance urban safety in major urban areas including Beijing and Shanghai. In September 2024, Alibaba Cloud partnered with the Chinese Ministry of Public Security to enhance public safety analytics through the implementation of AI-powered surveillance systems in China’s major cities, including Shanghai and Beijing. The system utilizes facial recognition technology, real-time data processing, and predictive analytics to monitor public venues for security threats.
Market Report Scope
Public Safety Analytics Market Report Coverage
| Report Coverage | Details | ||
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| Base Year: | 2024 | Market Size in 2025: | USD 12,141.2 Mn |
| Historical Data for: | 2020 To 2024 | Forecast Period: | 2025 To 2032 |
| Forecast Period 2025 to 2032 CAGR: | 19.8% | 2032 Value Projection: | USD 43,084.5 Mn |
| Geographies covered: |
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| Segments covered: |
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| Companies covered: |
IBM, Cisco Systems, Inc., NEC, Hexagon AB, Haystax Technology, Verint Systems, Hitachi Vantara LLC, Tyler Technologies, Esri, Cyrun |
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Market Dynamics
Public Safety Analytics Market Drivers
- Increasing adoption of IoT and connected devices: The rapid proliferation of Internet of Things (IoT) devices and sensors is a major driver for the public safety analytics market. IoT devices such as surveillance cameras, gunshot detectors, and environmental sensors generate massive volumes of data that can be analyzed to derive actionable insights. Law enforcement agencies are increasingly deploying IoT platforms to aggregate data from diverse sources. In July 2025, Seattle adopted a smart policing system using IoT-connected sensors and predictive analytics. The system aggregates data from body cameras, shotspotter technology, and traffic cameras, enabling the Seattle Police Department (SPD) to predict potential crime hotspots and deploy resources proactively. These examples highlight the increasing integration of IoT and connected devices in public safety analytics, driving improvements in operational efficiency and decision-making.
- Government initiatives and investments in smart city projects: Governments worldwide are undertaking smart city initiatives to deploy advanced ICT infrastructure for public safety and security. These projects involve implementation of analytics solutions for traffic management, crowd control, crime prevention, emergency response, etc.
- Integration of advanced technologies like AI and ML: The integration of emerging technologies like artificial intelligence (AI), machine learning (ML), and data science techniques in public safety analytics solutions is enhancing predictive capabilities. AI algorithms can efficiently analyze massive amounts of structured and unstructured data to generate actionable insights. ML improves decision-making by enabling predictive policing through pattern recognition and forecasting models.
- Growing need for crowd management and control: With increasing social unrest and terror activities, public safety agencies are adopting analytics solutions for efficient crowd management and control. Video analytics combined with AI can track crowd size, detect irregular crowd behavior, and send real-time alerts. Similarly, the use of predictive analytics helps law enforcement effectively plan operations for large public gatherings and events. The growing requirement for crowd surveillance and analytics is propelling market growth.
Public Safety Analytics Market Trends
- Cloud-based deployment: The public safety analytics solutions are increasingly being deployed through cloud-based models rather than traditional on-premise systems. Cloud-based solutions offer advantages such as lower deployment costs, scalability, and accessibility. Leading companies like Microsoft Azure, AWS, and Google Cloud offer robust cloud platforms tailored for public safety analytics. According to LexisNexis is a leading global provider of legal, regulatory, and business information and analytics, over 50% of law enforcement agencies leverage cloud-based analytics solutions.
- Integration with identity and access management: Public safety analytics solutions are being integrated with identity and access management (IAM) systems for improved security and data access control. IAM capabilities such as multi-factor authentication, role-based access, and encryption allow selective data access for different user profiles. IAM also enables auditing to track user activities. Data security and privacy concerns regarding public safety systems are driving the adoption of IAM.
Recent Developments
- In March 2025, ZeroEyes, one of an AI gun detection platform with full U.S. DHS SAFETY Act Designation, announced its deployment by the Modesto Police Department in key areas across the city. The partnership highlights Modesto PD's commitment to using advanced technology to enhance public safety and reduce crime.
- In August 2025, Simsi, a global public safety tech company specializing in geospatial crime analysis through Risk Terrain Modeling (RTM), launched a free data assessment tool on its updated website, offering public safety agencies tailored risk insights.
- In October 2024, Verizon expanded its IoT-powered public safety network in New York City with the deployment of smart sensors and connected devices throughout high-crime areas. The sensors provide real-time data to public safety agencies, enabling them to monitor environmental conditions, traffic flow, and security threats. The move is part of the city’s broader initiative to improve its smart city infrastructure using AI and IoT technologies to enhance urban safety.
- In May 2024, Motorola Solutions introduced a new AI-powered public safety analytics platform in Los Angeles to enhance crime prevention and emergency response. The system integrates real-time video feeds, gunshot detection, and social media monitoring to predict potential criminal activities. This deployment is aimed at improving the city’s ability to respond proactively to public safety threats and optimize resource allocation.
Market Segmentation
- Public Safety Analytics Market by Type of Analytics
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
- Public Safety Analytics Market by Component
- Software
- Services
- Public Safety Analytics Market by Deployment Mode
- On-Premises
- Cloud-Based
- Public Safety Analytics Market by End-User Sector
- Law Enforcement
- Fire and Emergency Services
- Transportation
- Healthcare
- Utilities
- Others
- Public Safety Analytics Market by Application
- Incident Response
- Crime Analytics
- Traffic Management
- Healthcare Emergency Management
- Critical Infrastructure Protection
- Others
- Public Safety Analytics Market by Size of Organization
- Small and Medium-sized Enterprises (SMEs)
- Large Enterprises
- Public Safety Analytics Market by User Type
- Government Agencies
- Private Sector
- Public Safety Analytics Market by Data Source
- Structured Data
- Unstructured Data
- Public Safety Analytics Market by Region
- North America
- U.S.
- Canada
- Latin America
- Brazil
- Argentina
- Mexico
- Rest of Latin America
- Europe
- Germany
- U.K.
- Spain
- France
- Italy
- Russia
- Rest of Europe
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- ASEAN
- Rest of Asia Pacific
- Middle East
- GCC Countries
- Israel
- Rest of Middle East
- Africa
- South Africa
- North Africa
- Central Africa
- North America
- Top companies in Public Safety Analytics Market
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- IBM
- Cisco Systems, Inc.
- NEC
- Hexagon AB
- Haystax Technology
- Verint Systems
- Hitachi Vantara LLC
- Tyler Technologies
- Esri
- Cyrun
Sources
Primary Research Interviews
- Chief Technology Officers from Public Safety Software Companies
- Emergency Response Coordinators from Metropolitan Police Departments
- IT Directors from Government Safety Agencies
- Product Managers from Analytics Solution Providers
- Others
Databases
- International Association of Chiefs of Police (IACP) Database
- National Emergency Number Association (NENA) Statistics
- Federal Emergency Management Agency (FEMA) Data Repository
- Bureau of Justice Statistics (BJS) Database
- Others
Magazines
- Government Technology Magazine
- Public Safety Communications Magazine
- Emergency Management Magazine
- Law Enforcement Technology Magazine
- Others
Journals
- International Journal of Emergency Services
- Police Practice and Research Journal
- Journal of Emergency Management
- Others
Newspapers
- Government Computer News
- FCW (Federal Computer Week)
- StateScoop
- Emergency Management News
- Others
Associations
- International Association of Fire Chiefs (IAFC)
- National Association of Emergency Medical Technicians (NAEMT)
- International Association of Emergency Managers (IAEM)
- National Sheriffs' Association (NSA)
- Others
Public Domain Sources
- U.S. Department of Homeland Security Reports
- National Institute of Standards and Technology (NIST) Publications
- Government Accountability Office (GAO) Studies
- Federal Communications Commission (FCC) Public Safety Resources
- Others
Proprietary Elements
- CMI Data Analytics Tool
- Proprietary CMI Existing Repository of information for last 8 years
*Definition: The public safety analytics market refers to the solutions leveraged by law enforcement and public safety agencies to derive data-driven insights from vast amounts of structured and unstructured data collected through various sources, including CCTV cameras, body-worn cameras, sensors, computer-aided dispatch, record management systems, etc.
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About Author
Ankur Rai is a Research Consultant with over 5 years of experience in handling consulting and syndicated reports across diverse sectors. He manages consulting and market research projects centered on go-to-market strategy, opportunity analysis, competitive landscape, and market size estimation and forecasting. He also advises clients on identifying and targeting absolute opportunities to penetrate untapped markets.
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