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AI For Public Security And Safety Market Growth From $27.43 Billion In 2026 To $77.49 Billion By 2030 At A CAGR Of 29.6%
The AI for public security and safety market has seen remarkable growth in recent years. It is anticipated to expand 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 is linked to factors such as the limitations of manual surveillance, an increase in urban crime rates, a heightened need for real-time monitoring, larger public safety budgets, and the adoption of digital security systems.
The AI for public security and safety market size is anticipated to experience substantial growth in the upcoming years. It is projected to reach $77.49 billion in 2030, with a compound annual growth rate (CAGR) of 29.6%. This projected growth is attributed to advancements in machine learning algorithms, the integration of AI with emergency response systems, increased investment in predictive policing, the expansion of smart city initiatives, and the adoption of cloud-based public safety solutions. Prominent trends expected in the forecast period include 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 Demand Drivers Opening New Revenue Streams
The future expansion of the AI in the public security and safety market is anticipated due to a rise in security threats. These threats encompass potential risks capable of undermining the confidentiality, integrity, or accessibility of digital systems, physical assets, and essential infrastructure. The surge in security threats stems from more frequent cyberattacks, increased reliance on digital platforms, and the proliferation of connected devices, which together heighten vulnerability across various sectors. To address this trend, the AI in the public security and safety market employs artificial intelligence to process extensive data, pinpoint potential dangers, and improve real-time surveillance, threat detection, and incident response, ultimately bolstering the protection of communities and infrastructure. An example highlighting this urgency is provided by AAG IT Services, a UK-based information technology and cloud solutions company, which reported in January 2024 that global cyberattacks climbed by 38% in 2023 compared to the previous year, emphasizing the critical demand for sophisticated AI-driven security measures against developing threats. Consequently, escalating security threats are a key factor propelling the expansion of the AI in the public security and safety market.
AI For Public Security And Safety Market Segment Performance And Emerging Opportunities
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 Trends Powering Strategic Industry Growth
Leading companies in the AI for Public Security and Safety market are concentrating on incorporating generative AI frameworks, such as AI-powered operational decision support systems, to achieve a competitive edge. These systems utilize artificial intelligence to process live data, streamline emergency responses, and elevate threat identification capabilities for public safety organizations. As an illustration, in January 2025, the U.S. Department of Homeland Security (DHS), a US-based government agency, launched the Generative AI Public Sector Playbook. This playbook includes features like adaptive scenario simulation for emergency preparedness, AI-assisted threat assessment, and automated policy recommendation tools designed to enhance the effectiveness of decision-making.
AI For Public Security And Safety Market Key Players: Which Companies Lead Industry Competition?
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 Top Region By Revenue And Market Share
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.
