There were approximately 530,640 shoplifting offences recorded by the police in England and Wales in 2024/25, the highest in this provided time period. Although the annual number of shoplifting offences remained quite stable before the COVID-19 pandemic, there was a slight trend of rising offences that reached a pre-pandemic peak of around 382,660 in 2017/18. The 2020/21 and 2021/20 reporting years are not directly comparable to the other reporting years due to COVID-19 lockdowns that occurred at that time. Areas with the highest shoplifting rate As of 2023/24, the shoplifting rate for England and Wales as a whole was 7.4 shoplifting offences per 1,000 population. Looking at individual police force areas, the area covered by Nottinghamshire Police Force, in the English East Midlands, had the highest shoplifting rate of 13.2, followed by Cleveland, in North East England, at 13.1. By contrast, the Dyfed-Powys Police Force Area, in Wales had the lowest shoplifting rate of just 3.9 offences per 1,000 population. Although Cleveland also had the highest overall crime rate in England and Wales, and Dyfed-Powys had one of the lowest, Nottinghamshire's crime rate was slightly below the overall average, despite having such a high shoplifting rate. Comparisons with other theft offences Shoplifting is one of the major sub-categories of theft in the jurisdiction of England and Wales. Although shoplifting offences have increased significantly recently, the number of theft offences overall has generally been falling. In 2002/03 for example, there were approximately 3.41 million incidences of theft, compared with just 1.78 million in 2023/24. This trend has been driven by declines in other types of theft, such as burglary, which fell from over 890,000 offences in 2002/03, to around 266,500 in 2023/24.
In 2024, approximately ****** shoplifting cases were reported in Poland. This is nearly ** percent less than the year before.
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Shoplifting Statistics: The year 2024 has remained crucial for all retail businesses, and shoplifting poses one of the major challenges for retailers all over the world. Entrepreneurs grip the handles of economic pressure to retard or restrict retail trade, and organized retail crime has just added insult to injury with vandalism and theft in various techniques.
This legal exploration will present recent shoplifting statistics in various key markets around the world.
In 2024, over ****** shoplifting cases were reported in Poland. Most thefts were reported in stores in Mazowieckie region.
In 2024, around ** percent of retailers in the United States said that they had noticed an increase in the number of individuals shoplifting a few items. ** percent of retailers saw a rise in the number of smash-and-grabs.
There were approximately 38,674 shoplifting offences in Scotland in 2023/24, compared with 28,619 in the previous year.
The number of shoplifting offenses in Poland decreased by over ** percent in the observed period, reaching *******.
In 2024, around 20 percent of people in the UK have witnessed a shoplifting. The majority people, however, had not. In the United States, small businesses are especially affected by retail thefts, with over a fifth of workers seeing thefts a few times a week.
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The Electronic Article Surveillance (EAS) market, valued at $1.17 billion in 2025, is projected to experience steady growth, driven by the increasing need for loss prevention in retail settings and the rising adoption of advanced technologies. The compound annual growth rate (CAGR) of 3.29% from 2019 to 2024 suggests a continued, albeit moderate, expansion through 2033. Key drivers include the escalating retail theft rates globally, particularly in high-value merchandise sectors like electronics and apparel. Growing consumer awareness of shoplifting and its impact on pricing further fuels demand for robust EAS systems. Technological advancements, such as the integration of RFID and AI-powered analytics within EAS solutions, are enhancing their efficiency and providing retailers with valuable data insights for inventory management and loss prevention strategies. The market is segmented by component (tags, antennas, deactivators, other components), technology (acousto-magnetic, electromagnetic, RFID, microwave), and end-user (clothing, cosmetics, supermarkets, etc.). While the retail sector remains the primary driver, growth opportunities exist in other end-user segments like pharmaceuticals and libraries where loss prevention is crucial. However, the market faces restraints including the high initial investment costs of implementing EAS systems, particularly for smaller businesses, and the potential for technological obsolescence as new security solutions emerge. The competitive landscape is characterized by both established players like Sensormatic Solutions and Checkpoint Systems, and emerging innovative companies offering cutting-edge technologies. The geographical distribution of the EAS market is expected to be largely influenced by regional economic growth and retail development. North America and Europe currently hold significant market shares, driven by high retail density and strong consumer spending. However, rapid economic growth in Asia-Pacific, particularly in countries like China and India, is creating considerable potential for future market expansion. The increasing adoption of organized retail formats in these regions will further contribute to market growth. Latin America and the Middle East and Africa present emerging markets with untapped opportunities, albeit with varying levels of adoption based on economic factors and infrastructure development. Overall, the Electronic Article Surveillance market is poised for continued growth, fueled by technological advancements, the rising importance of loss prevention, and expanding retail sectors globally. The market's future trajectory will depend on the adoption rates of innovative technologies, the economic climates in key regions, and the evolving strategies of both retailers and EAS providers. Recent developments include: June 2023: Controltek introduced an innovative online RFID resource center, marking a significant advancement in asset tracking, inventory management, and RFID for electronic arrticle surveillance (EAS). This virtual platform serves as a comprehensive online hub, providing businesses with valuable data, awareness, and education in the realm of RFID technology., April 2023: Checkpoint Systems, a global leader in RFID and RF technology solutions, acquired Alert Systems, a Denmark-based company specializing in Internet of Things (IoT) expertise, with a particular focus on metal and magnet detection in the retail sector. This strategic acquisition aims to enhance Checkpoint Systems' commitment to loss-prevention solutions and fortify its product offerings.. Key drivers for this market are: Protection Against Inventory Losses, Shoplifting, and Theft, High Adoption of Acousto-magnetic System for Wider Protection in Retail Stores. Potential restraints include: Protection Against Inventory Losses, Shoplifting, and Theft, High Adoption of Acousto-magnetic System for Wider Protection in Retail Stores. Notable trends are: Clothing and Fashion Accessories to Hold Significant Market Share.
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According to Cognitive Market Research, the global Retail Security Solution market size is USD 215412.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.20% from 2024 to 2031.
North America held the major market share for more than 40% of the global revenue with a market size of USD 86164.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.4% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 64623.66 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 49544.81 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.2% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 10770.61 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.6% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 4308.24 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
The System held the highest Retail Security Solution market revenue share in 2024.
Market Dynamics of Retail Security Solution Market
Key Drivers for Retail Security Solution Market
Rising Theft and Fraud to Increase the Demand Globally
The upward push in robbery and fraud, along with shoplifting, employee robbery, and organized retail crime, poses considerable challenges for outlets. To combat those threats, many are increasingly turning to advanced security answers consisting of video surveillance, getting the right of entry to control systems, and digital article surveillance (EAS). These technologies no longer help deter robbery but also decorate common security measures within retail environments. As a result, there has been an exceptional uptick in their adoption among shops in search of shielding their merchandise and decreasing losses related to robbery and fraud. This trend underscores the growing importance of powerful protection strategies in the retail zone to defend property and hold profitability.
Data Security Concerns to Propel Market Growth
Retailers face extensive records protection demanding situations because of the substantial amounts of patron information they manage, making them prime goals for cyberattacks. Ensuring the security of point-of-sale (POS) structures and consumer facts has been paramount. Advanced protection answers designed to protect against breaches are more and more important, with technology inclusive of encryption, tokenization, and strong firewalls playing vital roles. Regulatory frameworks like PCI DSS mandate stringent security features, compelling outlets to put money into compliant answers to avoid penalties and protect sensitive facts. These regulatory surroundings now not handiest drive marketplace increases for cybersecurity answers but additionally underscore the critical need for shops to put into effect comprehensive statistics protection strategies to mitigate risks and shield customer consideration.
Restraint Factor for the Retail Security Solution Market
Cost of Implementation to Limit the Sales
Implementing protection solutions in retail includes substantial upfront fees protecting hardware, software, and installation, posing a substantial barrier for smaller shops working on restricted budgets. Costs vary depending on the complexity and scale of the safety device required to shield against theft, fraud, and cyber threats. Hardware expenses normally include surveillance cameras, get right of entry to manage structures, and electronic article surveillance (EAS) devices, even as software program fees encompass cybersecurity answers and POS safety features. Installation fees upload similarly to the financial outlay, especially for integrating these technologies seamlessly into present operations. For smaller stores, navigating these in advance charges often necessitates cautious budgeting and prioritization of safety wishes to ensure powerful safety in opposition to threats while coping with economic constraints. Alternative financing alternatives or scalable answers will also be considered to mitigate the initial financial burden of implementation.
Impact of Covid-19 on the Retail Security Solution Market
The COVID-19 pandemic considerably impacted the retail prote...
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The average for 2016 based on 74 countries was 783 thefts per 100,000 people. The highest value was in Denmark: 3949 thefts per 100,000 people and the lowest value was in Senegal: 1 thefts per 100,000 people. The indicator is available from 2003 to 2016. Below is a chart for all countries where data are available.
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According to our latest research, the global AI-Driven Retail Theft Analytics market size reached USD 2.17 billion in 2024, driven by the rapid adoption of artificial intelligence in retail security operations. The market is witnessing a robust growth momentum, exhibiting a CAGR of 18.2% from 2025 to 2033. By the end of 2033, the market is projected to attain a value of USD 10.91 billion. This remarkable expansion is primarily fueled by the increasing sophistication of retail theft, the growing need for real-time analytics, and the widespread integration of AI technologies across retail environments. As per our latest research, the convergence of advanced machine learning, computer vision, and big data analytics is transforming the landscape of retail loss prevention, offering unparalleled insights and operational efficiencies.
The primary growth factor for the AI-Driven Retail Theft Analytics market is the escalating threat of organized retail crime and shoplifting incidents worldwide. Retailers are increasingly recognizing the limitations of traditional surveillance systems and manual monitoring, which often fail to provide actionable intelligence or real-time intervention capabilities. AI-powered solutions, leveraging deep learning and computer vision, are enabling retailers to proactively identify suspicious behaviors, detect anomalies, and prevent theft before it occurs. These technologies are not only reducing shrinkage rates but also optimizing workforce allocation and enhancing in-store safety, making them a crucial component of modern retail security strategies. The integration of AI-driven analytics with existing security infrastructure is further streamlining operations, reducing false positives, and delivering a measurable return on investment for retailers across all segments.
Another significant driver for market growth is the increasing digital transformation within the retail sector. As retailers strive to create seamless omnichannel experiences and manage complex supply chains, the adoption of AI-driven analytics has become imperative for efficient inventory management and fraud detection. Retailers are leveraging these advanced platforms to gain granular visibility into inventory movements, track product lifecycles, and identify patterns indicative of internal or external theft. The ability to correlate data from multiple sources, including point-of-sale systems, video surveillance, and IoT sensors, is empowering retailers to make data-driven decisions and implement targeted loss prevention strategies. Furthermore, the scalability and flexibility offered by cloud-based AI analytics solutions are enabling both large enterprises and small and medium-sized enterprises (SMEs) to adopt cutting-edge theft prevention technologies without significant upfront investments.
The market is also benefiting from the growing emphasis on customer experience and behavioral analytics in retail environments. AI-driven theft analytics platforms are increasingly being used to analyze customer behavior, detect potential fraud, and ensure compliance with store policies, all while maintaining a frictionless shopping experience. Retailers are utilizing these insights to design store layouts, optimize product placements, and personalize customer interactions, thereby driving sales and reducing losses simultaneously. The continuous advancements in AI algorithms, coupled with the proliferation of edge computing and 5G connectivity, are further enhancing the accuracy, speed, and scalability of these solutions. As regulatory frameworks evolve and data privacy concerns are addressed, the adoption of AI-driven theft analytics is expected to accelerate across diverse retail formats globally.
From a regional perspective, North America currently dominates the AI-Driven Retail Theft Analytics market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The high concentration of organized retail chains, early adoption of AI technologies, and stringent regulatory requirements for loss prevention are driving market growth in these regions. Asia Pacific, in particular, is emerging as a high-growth market, propelled by rapid urbanization, expanding retail infrastructure, and increasing investments in digital transformation initiatives. Latin America and the Middle East & Africa are also witnessing steady growth, supported by the modernization of retail formats and rising awareness about the benefits of AI-driven analytics. The regional landscape is
As per our latest research, the global Retail Theft Deterrent RF Tag market size reached USD 1.82 billion in 2024, reflecting a strong demand for advanced loss prevention solutions in the retail sector. The market is expected to grow at a notable CAGR of 8.1% from 2025 to 2033, with the forecasted market size projected to reach USD 3.57 billion by 2033. This robust growth is primarily attributed to the escalating incidences of retail theft and shrinkage, the proliferation of organized retail formats, and continuous technological advancements in RF tag solutions.
The primary growth driver for the Retail Theft Deterrent RF Tag market is the increasing prevalence of shoplifting and inventory shrinkage, which has become a significant concern for global retailers. Retailers, especially those operating in high-value and high-traffic segments such as apparel, electronics, and pharmaceuticals, are investing heavily in anti-theft technologies to safeguard their assets and minimize losses. The adoption of RF tags is further propelled by their cost-effectiveness, ease of integration into existing security systems, and their ability to provide real-time inventory visibility. Moreover, the rise of omnichannel retail and the need for seamless inventory management across physical and digital platforms have made RF tags indispensable for modern retail operations.
Another crucial factor fueling market growth is the rapid evolution of RF tag technology itself. Manufacturers are focusing on developing smaller, more discreet, and highly durable tags that can be seamlessly incorporated into a wide range of products without affecting aesthetics or customer experience. Innovations such as tamper-proof designs, improved detection range, and compatibility with RFID and IoT systems are enhancing the overall efficacy of these tags. Additionally, the growing emphasis on data analytics and inventory optimization is prompting retailers to opt for smart RF tags that not only deter theft but also provide actionable insights into consumer behavior and stock movement. This convergence of security and data intelligence is expected to further accelerate the adoption of RF tags in the coming years.
The expansion of organized retail formats, particularly in emerging economies, is also contributing significantly to market expansion. As retail chains and supermarkets proliferate in regions like Asia Pacific and Latin America, the demand for scalable and reliable theft deterrent solutions is witnessing a marked uptick. Retailers are increasingly recognizing the long-term cost savings and operational efficiencies offered by RF tags, prompting widespread implementation across diverse store formats. Furthermore, regulatory pressures and industry standards mandating enhanced security measures in retail environments are bolstering the uptake of advanced RF tag solutions globally.
From a regional perspective, North America and Europe currently dominate the global Retail Theft Deterrent RF Tag market, owing to their mature retail sectors and high adoption rates of security technologies. However, the Asia Pacific region is emerging as the fastest-growing market, driven by rapid urbanization, a burgeoning middle class, and the aggressive expansion of organized retail. Countries such as China, India, and Southeast Asian nations are witnessing a surge in demand for RF tag solutions as retailers seek to combat rising theft rates and improve operational transparency. Meanwhile, Latin America and the Middle East & Africa are gradually catching up, supported by improving retail infrastructure and increasing awareness about the benefits of theft deterrent technologies.
The Retail Theft Deterrent RF Tag market is segmented by product type into hard tags, soft tags, ink tags, and others, each catering to specific security requirements and retail environments. Hard tags remain the most widely used due to their robust construction and high deterrence
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According to our latest research, the global AI-based retail loss prevention market size reached USD 2.3 billion in 2024, demonstrating robust momentum driven by the increasing adoption of artificial intelligence in retail operations. The market is projected to expand at a CAGR of 16.8% from 2025 to 2033, culminating in a forecasted market size of USD 11.4 billion by 2033. The primary growth factor fueling this surge is the escalating need for advanced technologies to combat retail shrinkage, theft, and fraud as retailers strive to enhance operational efficiency and protect their bottom line in a rapidly evolving retail landscape.
The AI-based retail loss prevention market is experiencing significant growth, primarily due to the rapid digital transformation sweeping through the global retail sector. Retailers are increasingly leveraging artificial intelligence to address persistent challenges such as shoplifting, employee theft, administrative errors, and organized retail crime. The integration of AI-powered analytics, machine learning algorithms, and real-time data processing enables retailers to detect suspicious activities, monitor inventory discrepancies, and implement proactive loss prevention strategies. Furthermore, the proliferation of IoT devices and connected sensors has enhanced the capabilities of AI-driven solutions, allowing for more accurate and timely identification of potential loss events. As retailers continue to invest in digital infrastructure, the adoption of AI-based loss prevention solutions is expected to accelerate, driving substantial market growth over the next decade.
Another key growth driver for the AI-based retail loss prevention market is the increasing sophistication of retail fraud and theft tactics. Criminals are employing more advanced methods to exploit vulnerabilities in retail environments, necessitating the deployment of equally sophisticated countermeasures. AI technologies, including computer vision, predictive analytics, and natural language processing, enable retailers to analyze vast volumes of transactional and surveillance data in real time. This empowers loss prevention teams to identify patterns indicative of fraud, automate incident response, and reduce false positives, ultimately minimizing financial losses. Additionally, regulatory pressures and rising consumer expectations for secure shopping experiences are compelling retailers to invest in state-of-the-art loss prevention systems, further bolstering market expansion.
The growing focus on enhancing the customer experience is also propelling the adoption of AI-based retail loss prevention solutions. Retailers recognize that traditional loss prevention methods, such as manual checks and intrusive security measures, can negatively impact customer satisfaction and brand perception. AI-driven solutions, on the other hand, offer a more seamless and non-intrusive approach to loss prevention, enabling retailers to maintain a welcoming store environment while safeguarding assets. By leveraging AI for video surveillance, access control, and inventory management, retailers can strike a balance between security and customer service, fostering loyalty and repeat business. This dual benefit of improved security and enhanced customer experience is a compelling value proposition driving market growth.
From a regional perspective, North America currently dominates the AI-based retail loss prevention market, accounting for the largest share in 2024. This leadership position is attributed to the region's advanced retail infrastructure, high penetration of AI technologies, and the presence of major solution providers. Europe follows closely, driven by stringent regulatory frameworks and increasing investments in digital transformation. The Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, expanding retail networks, and a growing emphasis on technology adoption. Latin America and the Middle East & Africa are also witnessing steady growth, supported by rising awareness of retail security challenges and the increasing availability of AI-based solutions. The regional outlook underscores the global nature of the market and the diverse opportunities for stakeholders across different geographies.
The AI-based retail loss prevention market is segmented by component into software, hardware, and services, each playing a pivotal role in the
For the latest data tables see ‘Police recorded crime and outcomes open data tables’.
These historic data tables contain figures up to September 2024 for:
There are counting rules for recorded crime to help to ensure that crimes are recorded consistently and accurately.
These tables are designed to have many uses. The Home Office would like to hear from any users who have developed applications for these data tables and any suggestions for future releases. Please contact the Crime Analysis team at crimeandpolicestats@homeoffice.gov.uk.
In 2024/25, there were approximately 78,800 robbery offences reported by the police in England and Wales, compared with 81,000 in the previous year. During the provided time period, the reporting year with the highest number of robberies was 2002/03, when there were around 110,270. From 2002/03 onwards, robberies in England and Wales generally declined and reached a low of just 50,150 offences in 2014/15. Robberies increased from this year onwards, however, with 2019/20 seeing the highest number of offences since 2006/07. What types of crime are increasing? Unfortunately, the rise in robbery offences seen recently has not occurred in isolation. Overall crime in England and Wales also fell for several years prior to 2014/15 before suddenly climbing upwards and reaching over 6.74 million offences in 2022/23. Violent crime and sexual offences have both increased substantially, and while overall theft has declined, shoplifting offences reached a peak of almost 444,000 in 2023/24. This crime spike has led to a focus on the police, and if they have enough manpower and resources to reverse this trend. After the number of UK police officers was cut by around 20,000 between 2010 and 2016, the number of officers in 2023 was the most since 2010. At the same time, spending on police services was cut noticeably for the period between 2013/14 and 2016/17, with these cuts also being reversed from 2017/18 onwards. Robbery and UK justice system Robbery is considered one of the most serious criminal offences in defined as both a violent crime and a property crime. The offence carries one of the longest average prisons sentences in England and Wales, at 47.7 months, or almost four years. Serious crimes such as this would typically be tried in Crown Courts, yet as of the first quarter of 2023, there is a significant backlog of cases awaiting trial. This has led to an increasingly delayed justice system, with the average time an offence reached a conclusion in crown courts reaching 676 days in 2023, or almost two years. At the back end of the justice system, prisons are struggling with capacity issues and have been operating with very little spare capacity for several months as of 2024.
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The global detacher electronic article surveillance (EAS) system market size was USD 317.1 Million in 2023 and is projected to reach USD 504.7 Million by 2032, expanding at a CAGR of 5.3% during 2024–2032. The market growth is attributed to the rising demand for advanced security solutions across the globe.
Growing demand for advanced security solutions is a significant driver for the detacher electronic article surveillance (EAS) system market. Retailers are increasingly adopting EAS systems to prevent theft and shoplifting, which in turn, helps in reducing losses and improving profitability. The EAS systems, with their ability to trigger alarms when unauthorized removal of items occurs, have become an integral part of the retail security infrastructure.
Artificial Intelligence has a significant impact on detacher electronic article surveillance (EAS) system market. The integration of AI into EAS systems has enhanced their efficiency and accuracy, thereby reducing the instances of false alarms and shoplifting. AI-powered EAS systems have the capability to identify and differentiate between tagged and non-tagged items, thus improving the overall security in retail stores.
AI technology has enabled the development of smart EAS systems that provide real-time data and analytics, which are crucial for decision-making processes in retail businesses. The use of AI in EAS systems has led to cost savings by reducing labor costs and improving inventory management. The advent of AI has brought about substantial improvements in the detacher EAS system market, making it reliable and efficient.
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Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).
According to our latest research, the AI-Based Retail Loss Prevention market size reached USD 3.4 billion in 2024 globally. Driven by rapid technological advancements and the increasing adoption of artificial intelligence in retail, the market is expected to expand at a robust CAGR of 17.8% from 2025 to 2033. By 2033, the global market is forecasted to attain a value of USD 13.2 billion. This impressive growth trajectory is primarily attributed to the escalating need for effective loss prevention solutions, the proliferation of organized retail, and the growing sophistication of theft and fraud tactics in the retail sector.
One of the most significant growth drivers for the AI-Based Retail Loss Prevention market is the rising incidence of retail shrinkage, which includes theft, shoplifting, employee fraud, and administrative errors. Retailers are under increasing pressure to protect their profit margins, especially in a highly competitive landscape where even minor losses can significantly impact the bottom line. AI-powered solutions have emerged as a game changer, empowering retailers to detect, analyze, and mitigate various forms of loss in real time. These systems leverage machine learning, computer vision, and predictive analytics to identify suspicious activities, automate inventory audits, and provide actionable insights. The transition from traditional loss prevention methods to AI-based systems is being accelerated by the promise of higher accuracy, lower false positives, and the ability to scale across multiple store locations.
Another critical factor fueling market expansion is the integration of AI with advanced video surveillance and analytics. Retailers are increasingly adopting AI-enabled cameras and sensors that not only monitor store premises but also analyze customer behavior, detect anomalies, and flag potential threats. This convergence of AI and video analytics is helping businesses move beyond reactive measures to proactive and predictive loss prevention strategies. Additionally, the proliferation of IoT devices and cloud-based platforms is enabling seamless data collection and real-time processing, further enhancing the efficiency and efficacy of AI-based solutions. As a result, both large-scale retailers and small-to-medium enterprises are investing in AI-driven loss prevention to safeguard assets, improve operational efficiency, and enhance the overall shopping experience.
The regional outlook for the AI-Based Retail Loss Prevention market reveals a dynamic landscape, with North America leading the charge in terms of adoption and market share. The region's mature retail infrastructure, high penetration of advanced technologies, and strong presence of key market players have created a conducive environment for innovation and growth. Meanwhile, Asia Pacific is emerging as a lucrative market, driven by the rapid expansion of organized retail, a growing middle-class population, and increasing investments in digital transformation. Europe is also witnessing significant traction, particularly in Western European countries where stringent regulations and a focus on customer experience are pushing retailers to adopt advanced loss prevention technologies. Collectively, these regions are shaping the global market dynamics and setting the stage for sustained growth over the next decade.
The AI-Based Retail Loss Prevention market is segmented by component into software, hardware, and services, each playing a pivotal role in the overall ecosystem. Software solutions represent the backbone of modern loss prevention strategies, encompassing AI algorithms for video analytics, fraud detection, and predictive modeling. These platforms are designed to integrate seamlessly with existing retail management systems, enabling real-time data processing and actionable insights. The demand for software is being driven by the need for scalable, customizable, and easy-to-update solutions that can adapt to evolving retail threats. As retailers seek to stay ahead of increasingly sophisticated theft and fraud tactics, i
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The global EAS Exit Gate market size was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 2.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.5% from 2024 to 2032. The significant growth factor for this market includes increasing concerns about theft and loss prevention across retail and public sectors. The advancements in technology and the integration of smarter, more efficient electronic article surveillance (EAS) solutions are also major driving factors.
The growth of the EAS Exit Gate market is primarily driven by the rising need for robust security measures in retail environments. Retailers are increasingly investing in anti-theft solutions to mitigate losses due to shoplifting and internal theft, which is a substantial concern given the high competition and thin profit margins in the retail sector. Additionally, technological advancements in EAS systems, such as the incorporation of RFID and AI-based monitoring, significantly enhance the efficiency and reliability of these systems, thus propelling market growth.
Another key growth factor is the increasing adoption of these systems in public buildings and libraries. The need to protect valuable assets and ensure an efficient flow of people through exit points has driven the adoption of EAS solutions beyond traditional retail environments. This trend is particularly noticeable in libraries and public institutions where the loss of books and other assets can be a significant issue. The integration of advanced EAS systems helps in reducing these losses and ensuring better asset management.
The global push towards smart city initiatives is also playing a crucial role in boosting the EAS Exit Gate market. As cities become smarter and more connected, the demand for advanced security solutions that can seamlessly integrate with other smart infrastructure is increasing. EAS systems are evolving to meet these needs with features like real-time monitoring, data analytics, and integration with broader surveillance systems, making them an essential component of modern urban infrastructure.
Regionally, the Asia Pacific region is expected to witness the fastest growth in the EAS Exit Gate market during the forecast period. The rapid urbanization and the expanding retail sector in countries like China and India are key factors driving this growth. North America and Europe continue to be significant markets due to the high adoption rate of advanced security solutions and the presence of major market players in these regions. However, the growth in Latin America and the Middle East & Africa is also notable, driven by increasing investments in retail infrastructure and public security initiatives.
The product type segment of the EAS Exit Gate market is categorized into RFID EAS Exit Gates, AM EAS Exit Gates, and EM EAS Exit Gates. RFID EAS Exit Gates are likely to dominate the market due to their advanced features such as longer detection range, high-speed inventory tracking, and better data management. These gates are increasingly adopted in large retail stores and libraries, where efficient tracking of numerous items is critical. The ability of RFID technology to provide real-time data and integrate with other systems makes it highly favorable among end-users.
AM EAS Exit Gates, known for their high detection accuracy and minimal false alarms, are particularly popular in retail environments. Their ability to detect tags through metals and liquids makes them suitable for stores dealing with a wide variety of products. The robustness and reliability of AM technology are key factors driving its adoption. However, the comparatively higher cost and maintenance requirements might limit its penetration in smaller retail settings and other applications.
EM EAS Exit Gates are predominantly used in libraries and public buildings where the need for non-intrusive and efficient asset protection is paramount. The smaller size of EM tags and their ability to be concealed within books and other materials make them ideal for these settings. While EM technology might not offer the same level of detection range as RFID, its effectiveness in specific applications where discretion and minimal interference are essential continues to sustain its market presence.
The continuous advancements in these technologies, particularly in RFID, are expected to drive significant growth in the product type segment. The development of more cost-effective and efficien
There were approximately 530,640 shoplifting offences recorded by the police in England and Wales in 2024/25, the highest in this provided time period. Although the annual number of shoplifting offences remained quite stable before the COVID-19 pandemic, there was a slight trend of rising offences that reached a pre-pandemic peak of around 382,660 in 2017/18. The 2020/21 and 2021/20 reporting years are not directly comparable to the other reporting years due to COVID-19 lockdowns that occurred at that time. Areas with the highest shoplifting rate As of 2023/24, the shoplifting rate for England and Wales as a whole was 7.4 shoplifting offences per 1,000 population. Looking at individual police force areas, the area covered by Nottinghamshire Police Force, in the English East Midlands, had the highest shoplifting rate of 13.2, followed by Cleveland, in North East England, at 13.1. By contrast, the Dyfed-Powys Police Force Area, in Wales had the lowest shoplifting rate of just 3.9 offences per 1,000 population. Although Cleveland also had the highest overall crime rate in England and Wales, and Dyfed-Powys had one of the lowest, Nottinghamshire's crime rate was slightly below the overall average, despite having such a high shoplifting rate. Comparisons with other theft offences Shoplifting is one of the major sub-categories of theft in the jurisdiction of England and Wales. Although shoplifting offences have increased significantly recently, the number of theft offences overall has generally been falling. In 2002/03 for example, there were approximately 3.41 million incidences of theft, compared with just 1.78 million in 2023/24. This trend has been driven by declines in other types of theft, such as burglary, which fell from over 890,000 offences in 2002/03, to around 266,500 in 2023/24.