AI for Public Security and Safety Market to exceed US$ 71,006.00 million by 2030

    Published on 15-Jun-2023
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    Report : AI for Public Security and Safety Market Forecast to 2030 - COVID-19 Impact and Global Analysis by Application (Preventative Policing, Criminal Investigation, Combating Terrorism, Emergency Response and Disaster Management, and Others), End User (Law Enforcement Agencies, Federal Intelligence and Security, and Others), and Component (Solution and Services)

    According to our latest study on "AI for Public Security and Safety Market Forecast to 2030 – COVID-19 Impact and Global Analysis – by Component, Application and End User,” the market is projected to grow from US$ 9,330.06 million in 2022 to US$ 71,006.00 million by 2030; it is estimated to record a CAGR of 29.3% from 2023 to 2030.

    Rising Instances of Terrorist Activities and Security Breaches Fuels AI for Public Security and Safety Market Growth 
    The nature of terrorist threats has changed significantly over the past years with the discovery and use of new technologies by these organizations. Previously, governments and (re)insurers structured their containment strategies and responses to tackle large-scale attacks. However, they have begun focusing on cyberterrorism, which has emerged as a new threat, necessitating the adoption of advanced security systems. 

    The expansion and diversification of criminal networks and activities result in threats to public safety and democratic institutions’ security, affecting overall economic stability. In June 2022, the Canadian Minister of Public Safety strengthened Canada’s cybersecurity by introducing Bill C-26, a Cybersecurity Respect Act (ARCS). This proposed legislation is expected to protect Canadians and enhance cybersecurity in the telecommunications, energy, financial, and transportation sectors. AI automates highly repetitive tasks to reduce workloads, helps analysts predict future terror attacks in well-defined and narrowly defined situations, identify suspicious financial transactions with terror financing, and aid in keeping watch on internet spaces for terrorist activities at a scale and speed beyond traditionally available human capabilities. Face recognition, a biometric application of AI-powered object recognition, shows promising capabilities of analyzing video footage to identify people of interest. Facial recognition technology has grown exponentially in recent years due to the rapid advancements in ML. Face recognition software needs high-quality photos stored in a reference database to identify targeted individuals. Several law enforcement agencies worldwide have already started experimenting with this biometric technology. Therefore, AI has significant potential to contribute to the fight against terrorism and fuels the AI for public security and safety market growth.

    Lockdowns imposed due to the COVID-19 pandemic led to fundamental changes in the lifestyle and work life of people. The significant shift in day-to-day activities such as the growing adoption of remote work, rising number of virtual collaborations, and increasing adoption of software and services to eliminate manual processes, propelled the adoption of AI for public security and safety among various countries in North America. In addition, the shift toward digitization such as remote working had also bolstered the AI for public security and safety market size. The US is a prominent country for AI for public security and safety market due to its high use in end use industries such as federal agencies, law firms, and homeland security in the country. Video analytics algorithms were used to detect overcrowding and issue real-time alerts to ensure public safety and compliance with health guidelines. AI technologies were used to automate temperature and symptom detection. The pandemic accelerated innovation and public acceptance of AI solutions. Metabiota, a San Francisco-based startup, launched an epidemic tracking mechanism to notify people and authorities of future outbreaks by collecting and compiling data from different locations, hospitals, and clinics to find out any possibility of illness. Closedloop, an AI startup, used health data to identify patients at the highest risk of severe complications from COVID-19, using an AI-based predictive model that identifies people at high risk of contracting SARS-CoV-2. Such factors led to the AI for public security and safety market size in North America during the pandemic. 

    Key Findings of Study:
    The AI for public security and safety market is segmented into application, end user, and component. Based on application, the AI for public security and safety market is divided into preventative policing, criminal investigation, combating terrorism, emergency response and disaster management, and others. By end user, the AI for public security and safety market is segmented into law enforcement agencies, federal intelligence and security, and others. Based on component, the AI for public security and safety market is bifurcated into solution and services. Geographically, the AI for public security and safety market is segmented into North America, Europe, Asia Pacific, the Middle East & Africa, and South America.

    Based on application, the AI for public security and safety market is categorized into preventative policing, criminal investigation, combating terrorism, emergency response and disaster management, and others. The preventative policing segment dominated the AI for public security and safety market in 2022 and is expected to continue its dominance until 2030. Cities use artificial intelligence (AI) to keep citizens safe while protecting privacy and fundamental human rights. AI preventative policing is one of the most controversial trends; however, it can be necessary for the future of cities and societies. The pace of adopting AI for security purposes has increased in recent years. AI has recently helped create and deliver innovative police services, connecting police forces with citizens, building trust, and strengthening community associations. The use of smart solutions such as biometrics, facial recognition, intelligent cameras, and video surveillance systems is increasing owing to vast and complex data; AI not only improves police performance but also provides significant input from data and helps prevent crime and maintain law and order. Preventive policing aims to prevent crime and can be the most efficient and effective way to keep communities safe and increase their trust in police services while reducing response times. All such factors contributes to the growth of the segment in AI for public security and safety market.

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