PUBLIC SAFETY ANALYTICS MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2023 - 2030)

The global public safety analytics market size was valued at US$ 5.26 billion in 2023 and is expected to reach US$ 15.59 billion by 2030, grow at a compound annual growth rate (CAGR) of 16.8% from 2023 to 2030.

Public safety analytics refers to solutions that enable real-time analysis of data from various public safety operations to derive actionable insights. It leverages technologies such as AI, ML, data analytics, IoT, etc. Public safety analytics enhance situational awareness, crime pattern detection, resource allocation, predictive policing, and crowd management. The key drivers of the market include rising adoption of IoT devices, the need for advanced surveillance systems, government initiatives, and demand for crime prevention.

The public safety analytics market is segmented by type of analytics, component, deployment mode, end-user sector, application, size of organization, user type, data source and region. By type of analytics the market is segmented into descriptive analytics, predictive analytics and Priscriptive analytics. The user type  segment accounted for the largest market share in 2022. Public safety analytics solutions offer various capabilities such as pattern recognition, crime analysis, location-based tracking, facial recognition, and crowd monitoring.

Public Safety Analytics Market Regional Insights

• North America is expected to be the largest market for public safety analytics during the forecast period, accounting for over 38% of the market share in 2022. 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.
• Europe market is expected to be the second-largest market for public safety analytics, accounting for over 29% of the market share in 2022. The growth of the market is attributed to stringent regulations around public safety and growth of IoT.
• Asia Pacific market is expected to be the fastest-growing market for public safety analytics, with a CAGR of over 16% during the forecast period. The growth of the market in Asia Pacific is attributed to increasing smart city initiatives and government investments in surveillance infrastructure. 

Figure 1. Global Public Safety Analytics Market Share (%), by Region, 2022

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Public Safety Analytics Market Analyst Viewpoint:

The public safety analytics market is poised to grow significantly over the next few years. The growing need to analyze large volumes of crime and incident data to gain actionable intelligence is a major driver for adoption of these solutions. Furthermore, the rising global terrorism activities and security threats are forcing governments to enhance public safety measures through advanced data analytics technologies. The ability of analytics technologies to identify patterns, predict outcomes and enable evidence-based decision making related to crime and emergency response is boosting their demand. However, data privacy and security concerns pose a challenge and may restrain the growth of public safety analytics adoption in some regions. Agencies also face budget constraints that limit investments in new technologies. Nevertheless, growing importance of predictive analytics, intelligent video surveillance systems and GIS mapping technologies for crime mapping is expected to open up lucrative opportunities for vendors.North America currently dominates the public safety analytics market owing to modern security infrastructure and increased spending on public safety by federal and local governments in the region. Several North American cities are deploying video and gunshot detection, predictive policing and emergency response optimization solutions. The Asia Pacific region is anticipated to be the fastest growing market with increasing government focus on smart city initiatives and public safety infrastructure development.

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. For instance, the Los Angeles Police Department uses Microsoft Azure to collect real-time data from IoT sensors across the city. IoT enhances situational awareness and enables proactive incident response through real-time monitoring and analytics. For instance, in March 2022, Cisco Meraki  is a cloud-managed IT company specializing in networking, security, and device management unveiled a fresh lineup of IoT and LAN solutions to construct more intelligent workspace encounters.
• 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. For example, In July 2023, the Indian government has launched the Safe City project across eight major cities with an investment of US$778.9 million. Such government investments are fostering the adoption of public safety analytics solutions.
• 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. For instance, PredPol software is a predictive policing software used by some law enforcement agencies to anticipate and prevent crime leverages ML to forecast crime hotspots.
• 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 Opportunities:

• Adoption for road safety and traffic management: Public safety analytics solutions offer significant potential to improve road safety and traffic monitoring. IoT devices combined with predictive analytics can enable intelligent transportation systems. Analytics capabilities such as traffic pattern analysis, vehicle tracking and driver behavior monitoring can significantly reduce road accidents and fatalities. Governments are increasingly investing in such smart transportation platforms integrated with analytics. For instance, in January 2022, Honda Motor Co., Ltd.  is a multinational corporation primarily known for its production of automobiles, motorcycles, and power equipment showcased cutting-edge future safety technologies in a global debut. Honda is actively progressing in the development of these technologies to create a society where all road users can experience freedom of mobility without the threat of traffic accidents, ensuring peace of mind for everyone.
• Public-private partnerships for smart city development: Public-private partnerships provide an opportunity to advance smart city projects with public safety analytics implementation. Collaboration between government agencies and private technology companies allows access to advanced solutions for law enforcement. For instance, Cisco is a multinational technology conglomerate renowned for its networking hardware, software, telecommunications equipment, and services partnered with the city of Pune, India, to deploy smart city technology, including improved surveillance and safety infrastructure.
• Analytics applications for crowd management and control: Public safety agencies are increasingly adopting analytics solutions specifically for crowd management and control operations. AI-enabled video analytics provides powerful capabilities to estimate crowd size, detect anomalies, and improve situational awareness in mass gatherings. Prescriptive analytics can enable data-based decision making for effective crowd management. The targeted development of such niche analytics solutions presents significant growth opportunities.
• Emergence of smart transportation platforms: The emergence of smart transportation ecosystems integrated with analytics creates new market opportunities. IoT deployment combined with AI algorithms can transform road safety and traffic monitoring. Analytics use cases such as intelligent traffic signal control, real-time driver alerts, and accident risk prediction can significantly improve road safety outcomes. Traffic management authorities are expected to invest heavily in building such smart transportation platforms.

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.
• Emphasis on real-time data analytics: Public safety agencies are shifting focus from historical analytics to real-time data analytics to drive timely action. Real-time streaming analytics enables monitoring events as they occur to quickly respond to dynamic situations. Solutions powered by AI and ML can instantly analyze real-time video feeds, social media channels, emergency calls, etc. to provide tactical insights. Real-time data analytics enhance situational awareness and incident response efficiency.
• 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.
• Convergence of IT and OT systems: Convergence of information technology (IT) and operational technology (OT) systems is an emerging trend to enable better public safety analytics. IT-OT integration allows the aggregation of data from diverse sources, ranging from community CCTV feeds to police dispatch systems, on a single analytics platform for a unified view. A consolidated system removes data silos and provides comprehensive insights to enhance decision-making. For instance, in October 2023, Hitachi Vantara  is a subsidiary of Hitachi, Ltd. focused on digital infrastructure, data management, analytics, and the Internet of Things (IoT) introduced Hitachi Virtual Storage Platform One, marking a fresh approach to data storage in hybrid cloud environments.

Public Safety Analytics Market Restraints:

• High deployment costs: The deployment of comprehensive public safety analytics solutions requires significant upfront investments in hardware, software, integration, and labor. Costs are further increased by the need for regular system upgrades to keep pace with evolving technologies. Many small law enforcement agencies have limited budgets and may find such solutions financially prohibitive. One significant counterbalance is the ongoing development of more scalable and flexible systems. These advancements aim to create adaptable solutions that can be tailored to fit varying budgetary constraints. By offering modular approaches and customizable features, these systems allow agencies to adopt components that align with their immediate needs and financial capabilities. This mitigates the necessity for a one-size-fits-all, high-cost implementation.
• Data security and privacy concerns: Public safety operations generate enormous amounts of sensitive citizen data. Concerns regarding data security, surveillance overreach, and ethics limit the adoption of analytics. Developing robust cybersecurity, access control, and data governance strategies to address these concerns incurs further expenses for agencies. Data regulations also necessitate customized system development to ensure compliance. Counterbalancing these concerns involves a multi-faceted approach. While the upfront expenses for enhancing cybersecurity and data compliance measures might seem burdensome, they are essential investments to protect sensitive citizen data from breaches and misuse. Proactive measures not only safeguard data but also bolster public trust, fostering greater acceptance of analytics initiatives. Enhancing cybersecurity measures and ensuring compliance with data regulations indeed incur significant upfront expenses for agencies. However, these investments are fundamental to safeguarding the vast volumes of sensitive citizen data generated by public safety operations. Robust cybersecurity protocols, access control mechanisms, and stringent data governance strategies are essential to protect against breaches, unauthorized access, and misuse of this valuable information.
• Integration and interoperability issues: Integrating analytics solutions with existing legacy systems poses challenges due to technical complexity and a lack of standardization. This inhibits data aggregation from disparate systems deployed across agencies. Interoperability issues also arise when systems are procured from multiple vendors. Seamless integration is essential to maximize operational efficiency and return on investment. However, while integration and interoperability pose significant challenges, addressing these concerns can yield substantial benefits. Efforts to streamline integration processes by developing standardized interfaces or protocols can facilitate smoother data flow between systems.

Recent Developments

New product launches

• In July 2023, Splunk Inc., recognized as a leader in cybersecurity and observability, unveiled Splunk AI, a suite of fresh AI-driven solutions aimed at amplifying its comprehensive security and observability platform. Presented at .conf23, Splunk AI merges automation with human-involved experiences, empowering organizations to accelerate detection, investigation, and response while maintaining control over the application of AI to their data.
• In June 2023, at Critical Communications World 2022, Motorola Solutions (NYSE: MSI) will demonstrate how its interconnected, mission-critical range of technologies is aiding the public safety sector in surmounting intricate and unforeseeable challenges.
• In June 2023, Hexagon’s is a global provider of digital solutions, specializing in a wide range of industries including manufacturing, construction, geospatial, and public safety  Safety, Infrastructure & Geospatial division and Fujitsu Limited  revealed their collaboration in developing digital twin applications aimed at forecasting and reducing the impact of natural disasters and traffic accidents.

Acquisition and partnerships

• In April 2022, Motorola Solutions  is a global leader in mission-critical communication and safety solutions for businesses, government, and public safety agencies revealed its acquisition of Calipsa, Inc., a frontrunner in cloud-native advanced video analytics headquartered in London, U.K.
• In September 2021, Verint® known as The Customer Engagement Company™ confirmed the finalization of the previously disclosed deal to purchase Conversocial, a top-tier provider in delivering conversational customer experiences across messaging channels.
• In June 2022, Hexagon’s Safety, Infrastructure & Geospatial division and Fujitsu Limited will collaborate to expedite the creation and advocacy of scenarios addressing societal issues, aiming to support the establishment of the 'Trusted Society' — an enduring, resilient environment fostering peaceful coexistence and prosperity for all.

Figure 2. Global Public Safety Analytics Market Share (%), by User Type, 2023

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Top companies in Public Safety Analytics Market

• IBM
• Cisco
• NEC
• Hexagon
• ESRI
• NICE Systems
• Haystax Technology
• Splunk
• Verint Systems
• Hitachi Vantara
• Motorola Solutions
• Genetec
• Palantir Technologies
• Tyler Technologies
• Numerica Corporation
• Cyrun
• Increased Safety
• Qognify
• Cody Systems
• ShotSpotter

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.