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AI For Public Security And Safety Market Size, Value And Growth Trends Through 2030
The AI for public security and safety market size has experienced exponential growth over recent years. It is projected to increase from $21.18 billion in 2025 to $27.43 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 29.5%. The expansion witnessed in previous periods can be attributed to several factors including manual surveillance limitations, an increase in urban crime rates, a greater need for real-time monitoring, growth in public safety budgets, and the adoption of digital security systems.
The AI for public security and safety market is anticipated to show significant expansion in the upcoming years. It is projected to reach a value of $77.49 billion by 2030, growing at a compound annual growth rate (CAGR) of 29.6%. This expected increase during the forecast period is due to factors such as advancements in machine learning algorithms, the integration of AI with emergency response systems, heightened investment in predictive policing, the expansion of smart city initiatives, and the adoption of cloud-based public safety solutions. Prominent trends for the forecast period encompass AI-powered threat detection, predictive crime analytics, automated incident response, smart surveillance integration, and disaster management optimization.
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#AI For Public Security And Safety Market Growth Factors: Which Forces Are Supporting Market Expansion?
The future expansion of AI in the public security and safety market is expected to be driven by increasing security threats. Security threats are defined as potential dangers or risks that could compromise the confidentiality, integrity, or availability of digital systems, physical assets, and critical infrastructure. The rise in these threats is propelled by the growing frequency of cyberattacks, an increasing dependency on digital technologies, and the proliferation of connected devices, which together heighten vulnerability across various sectors. The AI in the public security and safety market supports this trend by leveraging artificial intelligence to analyze vast quantities of data, identify potential threats, and enhance real-time surveillance, detection, and incident response capabilities, thereby strengthening community and infrastructure protection. For instance, in January 2024, according to AAG IT Services, a UK-based information technology and cloud solutions company, global cyberattacks saw a 38% increase in 2023 compared to the previous year, underscoring the urgent need for advanced AI-powered security solutions to counteract evolving threats. Therefore, the escalating security threats are a key factor driving the growth of AI in the public security and safety market.
AI For Public Security And Safety Market Segment Analysis Highlighting Growth Areas
The AI for public security and safety market covered in this report is segmented –
1) By Component: Solution, Services
2) By Deployment Model: On-Premises, Cloud-Based
3) By Application: Preventative Policing, Criminal Investigation, Combating Terrorism, Emergency Response, Disaster Management, Other Applications
4) By End User: Law Enforcement Agencies, Federal Intelligence And Security, Other End Users
Subsegments:
1) By Solution: Surveillance And Monitoring Systems, Predictive Analytics Tools, Incident Detection And Response Systems, Threat Assessment And Management Software
2) By Services: Consulting And Advisory Services, Integration And Deployment Services, Training And Support Services, Maintenance And Updates Services
AI For Public Security And Safety Market Industry Trends Shaping Future Revenue Growth
Leading companies in the AI for Public Security and Safety market are prioritizing the integration of generative AI frameworks, specifically AI-driven operational decision support systems, to gain a competitive advantage. These sophisticated systems harness artificial intelligence to analyze live data, enhance emergency response efficiency, and improve threat detection for public safety organizations. For example, in January 2025, the U.S. Department of Homeland Security (DHS), a US-based government agency, unveiled its Generative AI Public Sector Playbook. The playbook incorporates adaptive scenario simulation for emergency planning, AI-assisted threat assessment, and automated policy recommendation tools to boost decision-making effectiveness.
AI For Public Security And Safety Market Leading Companies: Who Holds Significant Market Presence?
Major companies operating in the AI for public security and safety market are Microsoft Corporation; Dell Technologies Inc.; Hitachi Ltd.; IBM Corporation; Cisco Systems Inc.; Oracle Corporation; Honeywell International Inc.; Telefonaktiebolaget LM Ericsson; NVIDIA Corporation; BAE Systems plc; Thales SA; Atos SE; Motorola Solutions Inc.; Hexagon AB; Elbit Systems Ltd.; Tata Communications Limited; Milestone Systems A/S; Palantir Technologies Inc.; Axis Communication AB; NEC Corporation; Veritone Inc.; Genetec Inc.; Intelli-Vision Technologies Corporation; Voyager Labs Ltd.; Quanergy Systems Inc.; XenonStack Pvt. Ltd.; Agent Video Intelligence Ltd.
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AI For Public Security And Safety Market Global Footprint: Which Region Holds Market Leadership?
North America was the largest region in the AI for public security and safety market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI for public security and safety market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
