Global Public Safety Analytics Market Size and Share
Market Overview
| Study Period | 2020 - 2030 |
|---|---|
| Market Size (2025) | USD 14.60 Billion |
| Market Size (2030) | USD 33.14 Billion |
| Growth Rate (2025 - 2030) | 17.81% CAGR |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Medium |
Major Players
*Disclaimer: Major Players sorted in no particular order Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0. |
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Global Public Safety Analytics Market Analysis by Mordor Intelligence
The public safety analytics market size is valued at USD 14.60 billion in 2025 and is projected to reach USD 33.14 billion in 2030, advancing at a 17.81% CAGR. Heightened regulatory scrutiny, soaring cyber-physical threats, and the imperative for real-time, data-driven decision-making are accelerating technology adoption. North American agencies are front-loading capital toward NG911 rollouts, while European stakeholders are redesigning platforms to satisfy the EU AI Act’s explainability clauses. Asia’s 5G edge build-out is unlocking ultra-low-latency video analytics, and cloud migration is democratising access for resource-constrained jurisdictions. Vendors are embedding transparency tooling, pivoting to subscription models, and orchestrating ecosystems around open APIs to convert compliance pressure into revenue upside.
Key Report Takeaways
- By component, software led with 60% revenue share in 2024; professional services is projected to expand at a 19.0% CAGR through 2030.
- By analytics type, predictive analytics commanded 48% of the public safety analytics market share in 2024, whereas prescriptive analytics is forecast to grow at 21.0% CAGR to 2030.
- By deployment model, on-premise solutions held 65% of the public safety analytics market size in 2024, while cloud/SaaS is set to climb at 18.8% CAGR through 2030.
- By application, surveillance and video analytics accounted for 46% of the public safety analytics market size in 2024; incident detection and management is expanding at 19.6% CAGR to 2030.
- By end user, law enforcement controlled 53% of the public safety analytics market in 2024, yet transportation and critical infrastructure is pacing fastest at 19.5% CAGR to 2030.
- By geography, North America retained 39% revenue share in 2024, whereas Asia is poised for 19.2% CAGR growth to 2030.
Global Public Safety Analytics Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Mandated NG911 data-integration rollouts | +4.5% | North America, spillover to Europe | Medium term (2-4 years) |
| EU AI Act transparency requirements | +3.6% | European Union, global influence | Short term (≤ 2 years) |
| Accelerating 5G edge deployments for responder video | +2.7% | Asia Pacific, Oceania | Medium term (2-4 years) |
| Rapid urbanisation driving smart-city safety platforms | +1.8% | Middle East, Africa, Asia | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
Mandated NG911 Data-Integration Rollouts (North America)
The FCC’s phased mandate obliges originating service providers to deliver 911 traffic via IP-based SIP and comply with common standards, pushing agencies to modernise call-handling and analytics back-ends. Budget estimates of USD 12.8–16.9 billion and proposed federal funding mechanisms are catalysing procurement pipelines. Coupling NG911 with FirstNet is spawning a converged voice-data environment where text, video, and location streams are fused for situational intelligence, thereby expanding the addressable public safety analytics market. [1]Federal Communications Commission, “Facilitating Implementation of Next Generation 911 Services (NG911),” fcc.gov
EU AI Act Requirements for Algorithmic Transparency
Effective June 2024, the Act classifies law-enforcement AI as high-risk, mandating risk logs, bias testing, and human oversight. Suppliers are hard-coding explainability modules and bias dashboards at the design stage, transforming compliance into a feature-differentiation play. Biometrics vendors are already re-engineering algorithms to meet fairness thresholds, accelerating refresh cycles across the European segment of the public safety analytics market.[2]European Union, “AI Act | Shaping Europe’s digital future,” europa.eu
Accelerating 5G Edge Deployments for First-Responder Video Streams
More than 60 live 5G SA networks provide the ultra-low latency and network slicing needed for high-definition video analytics at the edge. Singapore’s Agnet initiative showcases secure push-to-video capabilities that improve field coordination, while similar pilots in Australia and Japan underscore regional momentum. Edge-enabled analytics reduce backhaul costs and unlock new use cases, broadening the public safety analytics market in bandwidth-constrained geographies.[3]Airbus, “Airbus, M1 and CitiCall sign MoU to launch Agnet in Singapore,” criticalcommunications.airbus.com
Rapid Urbanisation Spurring Smart-City Safety Platforms
Megacity mayors are bundling CCTV, IoT, and social media feeds into unified command centres that deliver predictive alerts and resource optimisation. Smart-city budgets funnelled to public safety analytics platforms are rising in tandem with citizen expectations for rapid incident response. Middle Eastern and African municipalities are leap-frogging legacy architectures by going straight to cloud-native, AI-ready stacks, strengthening the long-term outlook for the public safety analytics market.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Litigation risk from algorithmic bias cases | -1.8% | North America, European Union | Medium term (2-4 years) |
| Fragmented legacy RMS/CAD data silos | -1.4% | Global (higher in developing regions) | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
Litigation Risk from Algorithmic Bias Cases (US & EU)
Civil-rights groups are pressing class actions against predictive-policing tools that allegedly reinforce racial profiling, impelling municipalities to pause or scale back deployments. The EU AI Act’s allowance for high-risk biometric systems, albeit with oversight, leaves vendors vulnerable to legal challenge if bias persists. This environment suppresses tender volumes and elongates sales cycles for the public safety analytics market.
Fragmented Legacy RMS/CAD Data Silos Below County Level
Local agencies often maintain decades-old databases that cannot interoperate, throttling analytics performance and raising integration costs. Over 53% of law-enforcement respondents cite data access as a core pain point, slowing cloud migrations and deferring advanced analytics initiatives. The resultant technical debt tempers adoption rates, particularly in jurisdictions lacking earmarked modernisation budgets.
Segment Analysis
By Component: Software Fortifies the Analytics Backbone
Software contributed 60% of 2024 revenue, underpinning data ingestion, fusion, and visualisation. Core applications such as record management and investigation tools ingest call logs, video streams, and sensor alerts to generate intelligence-ready datasets. AI plugins, geospatial dashboards, and real-time alerting broaden workflow coverage and elevate situational awareness. As agencies converge 911, CAD, and RMS feeds, demand for API-centric platforms is escalating, expanding the public safety analytics market.
Professional services are rising at 19.0% CAGR because agencies lack cleared data-science talent and must outsource integration, training, and algorithm tuning. Managed-service bundles lower CapEx thresholds and accelerate time-to-value, particularly for rural or cash-strapped departments. Cloud certification frameworks such as CJIS and FedRAMP de-risk vendor selection, thereby broadening the public safety analytics industry’s services addressable base.
By Analytics Type: Predictive Models Drive Proactive Resource Allocation
Predictive engines controlled 48% of 2024 spend, enabling hotspot forecasting, officer routing, and burglary pattern analysis. Departments report material overtime savings and faster case closures after deploying crime-forecast dashboards. Yet controversy over disparate-impact findings is sending some councils back to pilot mode, underscoring the delicate balance between efficiency gains and civil-liberties safeguards in the public safety analytics market.
Prescriptive analytics, projected at 21.0% CAGR, builds on prediction by recommending the best-fit intervention—ranging from patrol redeployment to medical dispatch triage. This next horizon aligns with outcome-based policing mandates and value-based care in overdoses. Federal guidelines requiring independent model validation will slow rollouts but ultimately professionalise the segment, reinforcing vendor credibility across the public safety analytics market.
By Deployment Model: Cloud Unlocks Elasticity and Inter-Agency Collaboration
On-premise architectures held 65% share in 2024, reflecting entrenched preferences for physical control over evidentiary data. Sensitive surveillance archives, juvenile records, and national-security footage continue to reside in hardened data centres. Capital-intensive refresh cycles, however, strain county budgets and inhibit rapid feature upgrades.
Cloud/SaaS options are expanding at an 18.8% CAGR as subscription economics and instant scalability become irresistible. NG911 traffic spikes, seasonal events, and disaster surges can be met by auto-provisioning compute capacity, mitigating risk. Certification schemes such as TX-RAMP remove procurement hurdles, pushing more agencies into the cloud tier of the public safety analytics market size for mission-critical workloads.
By Application: Video Analytics Leaps from Forensics to Real-Time Command
Surveillance and video analytics accounted for 46% of 2024 expenditure. AI-enabled video pipelines now auto-classify objects, flag suspicious behaviour, and cross-reference plate numbers, compressing forensic review from hours to minutes. Stadiums, transit hubs, and city centres benefit from heat-map visualisations that inform crowd control and traffic redirection.
Incident detection and management shows the fastest run rate at 19.6% CAGR, fuelled by advanced sensor fusion and social-media scraping. DHS pilots integrating RF sniffers, pressure plates, and high-resolution CCTV feed insights directly into common operating pictures. These innovations increase the penetration of the public safety analytics market across emergency-management agencies seeking unified command views.
Note: Segment shares of all individual segments available upon report purchase
By End User: Law Enforcement Anchors Demand, Infrastructure Ramps Up
Law-enforcement agencies captured 53% of 2024 demand, reflecting their statutory mandate and early deployment history. Video analytics dominates investigative workflows, while crime-mapping portals assist precinct-level resource optimisation. Concerns over deepfake evidence and AI-generated reports are spurring investment in verification algorithms, sustaining software licence growth within the public safety analytics market.
Transportation and critical infrastructure verticals are scaling at 19.5% CAGR as cyber-physical convergence raises the stakes for rail networks, airports, and energy grids. USD 1.15 billion in federal grants earmarked for transportation cybersecurity is unlocking procurement cycles. Multi-sensor detection layers feed analytics engines that provide red-team simulation and anomaly alerts, uplifting resilience and expanding the public safety analytics industry footprint in operational-technology environments.
Geography Analysis
North America controlled 39% of 2024 revenue, propelled by the FCC’s NG911 order and federal cloud modernisation budgets. States such as Illinois have already shifted 114 answering points to geospatial routing, validating performance improvements and stimulating adjacent analytics procurements. Federal opioid-crisis grants earmark analytics for overdose hotspot mapping, further enlarging the regional public safety analytics market share.[4]Esri, “Illinois’s Next Generation 911 Maps Emergencies,” esri.com
Asia is outpacing all regions with a 19.2% CAGR trajectory between 2025 and 2030. High-density urban corridors and national smart-city programmes anchor demand for integrated safety platforms. Massive 5G rollouts unlock edge analytics for mobile command posts, while sovereign AI investments exceed USD 40 billion across China, South Korea, and Singapore. This momentum elevates the public safety analytics market size for regional suppliers that can localise UX and comply with divergent privacy codes.
Europe’s growth is dictated by regulatory compliance. The EU AI Act’s transparency clauses are reshuffling product roadmaps, favouring vendors with bias-testing toolkits and audit-ready logs. Meanwhile, UK police forces spend GBP 2 billion (USD 2.5 billion) annually, predominantly refreshing legacy IT, signalling latent upside once transformation accelerates. Pan-European grants under the Digital Europe Programme fund cross-border interoperability pilots, cementing long-term demand for the public safety analytics market.
Competitive Landscape
The public safety analytics market exhibits moderate concentration. IBM, Hexagon, Motorola Solutions, and Tyler Technologies leverage broad portfolios and government contracting muscle to defend incumbency positions. They bundle CAD, RMS, and analytics modules, framing end-to-end value to procurement officers and achieving scale efficiencies in support and R&D.
Challengers deploy focused differentiation. Palantir’s partnership with Ondas integrates drone telemetry into Foundry, showcasing platform extensibility and capturing unstructured sensor streams previously outside conventional analytics' scope. Axon monetises adjacencies by embedding TASER event data into Evidence.com, boosting attach rates for its SaaS suite and lifting 2024 software revenue by double digits. These moves illustrate ecosystem plays designed to expand the total addressable market and lock in customers inside proprietary workflows.
Niche specialists exploit white spaces in algorithmic explainability and domain-specific models. Start-ups deliver bias-mitigation micro-services, behavioural analytics plugins, and verticalised dashboards for ports or utilities. Their agility enables rapid compliance with emerging mandates, positioning them as acquisition targets for platform leaders eager to close capability gaps. Strategic alliances, M&A, and co-innovation labs will remain central to value-capture strategies within the public safety analytics market.
Global Public Safety Analytics Industry Leaders
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Splunk Inc. (Cisco Systems Inc.)
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SAS Institute Inc.
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IBM Corporation
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Tyler Technologies Inc.
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Omnigo (The Riverside Company)
- *Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- May 2025: The Drug Enforcement Administration published the 2025 National Drug Threat Assessment, attributing a 25% drop in overdose deaths to intelligence-led operations and advanced analytics
- March 2025: Ondas Holdings and Palantir formed a strategic alliance to embed Foundry analytics into autonomous drone platforms, streamlining production workflows and expanding defence and public-safety use cases
- March 2025: Airbus, M1, and CitiCall agreed to deploy Agnet secure push-to-video services over Singapore’s broadband network, bolstering first-responder communications
- March 2025: The FCC released a Further Notice of Proposed Rulemaking to strengthen NG911 network reliability and interoperability, signalling continued policy support for advanced analytics adoption
Research Methodology Framework and Report Scope
Market Definitions and Key Coverage
Our study defines the public safety analytics market as all revenue earned from software platforms and linked professional services that collect, fuse, and analyze multi-source data, including video, CAD logs, IoT sensor streams, and social media, for threat detection, resource deployment, and incident resolution. According to Mordor Intelligence, coverage spans predictive, descriptive, diagnostic, and prescriptive modules delivered on-premise or through SaaS to law enforcement, emergency medical, firefighting, transportation, and critical infrastructure agencies worldwide.
Scope Exclusions: Hardware such as cameras, radios, and barricades, as well as internal HR or payroll analytics, are not counted.
Segmentation Overview
- By Component
- Software
- Record Management
- Investigation Management
- Location/Geo-Spatial Intelligence
- Criminal and Crime Intelligence
- Predictive and Prescriptive Modules
- Services
- Professional Services
- Managed / PSaaS
- Software
- By Analytics Type
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- By Deployment Model
- On-Premise
- Cloud / SaaS
- By Application
- Person-of-Interest Screening
- Surveillance and Video Analytics
- Incident Detection and Management
- Pattern Recognition and Hot-Spot Mapping
- Resource-Allocation Optimisation
- By End-User
- Law Enforcement
- Emergency Medical and EMS
- Firefighting and Rescue
- Transportation and Critical Infrastructure
- Other Government Agencies
- By Geography
- North America
- United States
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Rest of South America
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordics
- Rest of Europe
- APAC
- China
- India
- Japan
- South Korea
- ASEAN
- Australia
- New Zealand
- Rest of APAC
- Middle East and Africa
- Saudi Arabia
- United Arab Emirates
- South Africa
- Nigeria
- Rest of Middle East and Africa
- North America
Detailed Research Methodology and Data Validation
Primary Research
Mordor analysts interviewed city CIOs, police data science leads, fire command chiefs, and regional system integrators across North America, Europe, Asia-Pacific, and the GCC. These conversations validated platform fee structures, deployment backlogs, and forecast assumptions that secondary sources could not fully illuminate.
Desk Research
We gathered core indicators from openly available tier-1 sources such as the US Bureau of Justice Statistics, Eurostat crime and rescue datasets, UNODC incident counts, and FCC/NENA filings that detail NG911 rollouts. Trade associations, including IJIS Institute white papers and Smart Cities Council dashboards, helped us trace adoption of edge AI video platforms. Annual reports and 10-Ks from leading software vendors, plus patent families pulled via Questel, clarified technology intensity and pricing skews.
Shipment and license flow trends were further cross-checked through Volza customs records, while news sweeps on Dow Jones Factiva flagged material contract wins and funding rounds. This list is illustrative; many additional public and proprietary references informed the desk phase.
Market-Sizing & Forecasting
A top-down build starts with public sector ICT spend, filtered to safety functions and then tempered by analytics penetration ratios derived from respondent interviews and smart city grant data. Supplier roll-ups of sampled annual contract value (ACV) and average seat pricing provide a bottom-up sense check before totals are locked. Key variables feeding the model include 1) annual 911/112 call volumes, 2) installed base of IP cameras, 3) urban population above one million, 4) number of sworn officers per 10k residents, and 5) cloud migration share. A multivariate regression with ARIMA overlay projects each driver through 2030, letting us stress test growth under conservative and accelerated digital investment scenarios. Gaps in vendor roll-ups, common in smaller municipalities, are bridged with imputed averages from matched peer clusters.
Data Validation & Update Cycle
Outputs face variance checks against historical crime clearance rates and smart city budget outlays; anomalies trigger re-contact of experts. Two senior reviewers sign off on every model. We refresh annually and issue interim updates when major legislation, mergers, or funding surges occur.
Why Mordor's Public Safety Analytics Baseline Stays Reliable
Published figures often diverge because firms pick dissimilar solution mixes, assume different adoption ramps, or freeze exchange rates at varied points. Our disciplined scope and annual refresh cadence reduce drift.
Key gap drivers include some studies that fold broader 'public safety & security' hardware into totals, others that rely on enterprise IT spend proxies without primary validation, and several that convert regional currencies only once per forecast cycle.
Benchmark comparison
| Market Size | Anonymized source | Primary gap driver |
|---|---|---|
| USD 14.60 B (2025) | Mordor Intelligence | - |
| USD 13.00 B (2024) | Global Consultancy A | combines analytics with basic reporting tools and uses one-time FX rates |
| USD 8.29 B (2024) | Regional Forecasting Center B | excludes managed services and applies conservative penetration multipliers |
| USD 12.14 B (2025) | Industry Publisher C | limited primaries; heavier reliance on vendor press releases for totals |
Taken together, the comparison shows that Mordor's blend of documented scope, dual track modeling, and live expert inputs delivers a balanced, transparent baseline that decision makers can trace back to clear drivers and replicate with confidence.
Key Questions Answered in the Report
What is the current size of the public safety analytics market?
The market stands at USD 14.60 billion in 2025 and is projected to reach USD 33.14 billion by 2030.
Which segment is growing fastest within the public safety analytics market?
Prescriptive analytics is expanding most rapidly at a 21.0% CAGR, reflecting demand for decision-recommendation engines.
Why are agencies migrating to cloud deployment?
Cloud/SaaS provides elastic compute during emergencies, easier algorithm updates, and cross-jurisdiction collaboration, supporting an 18.8% CAGR.
How is regulation shaping product design?
The EU AI Act mandates transparency and bias testing for high-risk public-safety AI, prompting vendors to embed explainability features from the ground up.
Which region offers the highest growth potential?
Asia is projected to grow at a 19.2% CAGR, driven by smart-city investments, 5G rollouts, and sovereign AI funding programs.
What is the main challenge impeding adoption?
Fragmented legacy data silos limit the ability to run advanced analytics, particularly in smaller jurisdictions lacking modern RMS/CAD integration.
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