In 2022, retailers in California lost over eight and a half billion U.S. dollars' worth of revenue to retail theft, making it the state most impacted by the crime. This is, however, more of a reflection of the population: the states with the highest resident population generally recorded the largest retail theft losses.

In 2020, 56.5 percent of retailers in the United States stated that they had implemented POS analytics for loss prevention across all of their stores. Burglar alarms are the most commonly used loss prevention system among U.S. retailers.

The retail loss prevention and asset protection solutions market is projected to experience significant growth in the coming years, driven by the increasing need for retailers to protect their assets from theft, fraud, and other losses. The market is expected to reach $31.5 billion by 2033, with a CAGR of 7.6% from 2025 to 2033. The growth of the market is primarily attributed to the rising incidences of retail crime, the increasing adoption of advanced technologies, and the growing awareness of loss prevention best practices among retailers. Major trends influencing the growth of the market include the increasing adoption of cloud-based solutions, the integration of artificial intelligence and machine learning, and the growing use of data analytics to improve loss prevention strategies. Cloud-based solutions offer retailers the benefit of scalability, cost-effectiveness, and access to advanced features and functionality. Artificial intelligence and machine learning can help retailers identify patterns and trends in loss prevention data, enabling them to take proactive measures to prevent losses. Data analytics can help retailers gain insights into the effectiveness of their loss prevention strategies and make informed decisions to improve their operations.

In 2023, approximately one in four small business retailers estimated that they lose between 1,501 and 2,000 U.S. dollars to retail theft every month. Only four percent of small business owners surveyed said they lost less than 500 dollars a month.

This statistic shows the top loss prevention systems used in retail in the United States from 2016 to 2020. In 2020, almost all retailers, 95.7 percent, were using burglar alarms as a form of loss prevention. From 2019 to 2020, the share of retailers using burglar alarms increased from 92.1 to 95.7 percent.

In 2017, the retail sector in Belgium lost approximately 1.4 billion euros as a result of retail crime. Losses were particularly high in the food retail and cash & carry sectors, which alone accounted for roughly one third of the total loss.

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: All Other Retail Trade: Income (Loss) from Operations (QFR104OTRUSNO) from Q4 2000 to Q4 2024 about gains/losses, operating, finance, retail trade, corporate, sales, retail, income, industry, and USA.

This data is taken from validated water loss audit data that is submitted to DWR annually. All volumes are listed in acre-feet.

United States BED: sa: Job Losses: Retail Trade data was reported at 887.000 Unit th in Dec 2017. This records a decrease from the previous number of 977.000 Unit th for Sep 2017. United States BED: sa: Job Losses: Retail Trade data is updated quarterly, averaging 1,015.500 Unit th from Sep 1992 (Median) to Dec 2017, with 102 observations. The data reached an all-time high of 1,232.000 Unit th in Jun 2001 and a record low of 779.000 Unit th in Jun 2013. United States BED: sa: Job Losses: Retail Trade data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G043: Business Employment Dynamics.

In June 2022, most of the subsectors of retail industry in the United States saw increases in employment. The largest increase was recorded in general merchandise stores including warehouse clubs where employment increased by 5.7 percent when compared to June 2021. In contrast, furniture stores and building material and garden supply stores saw a decrease in employment numbers.

Graph and download economic data for Quarterly Financial Report: U.S. Corporations: Clothing and General Merchandise Stores: Income (Loss) from Operations (QFR104448USNO) from Q4 2000 to Q3 2024 about merchandise, gains/losses, operating, finance, apparel, retail trade, corporate, sales, retail, income, industry, and USA.

Russia Structure of Retail Price: Pork: Boneless: Profit(Loss) from Goods Selling data was reported at 6.840 % in 2017. This stayed constant from the previous number of 6.840 % for 2016. Russia Structure of Retail Price: Pork: Boneless: Profit(Loss) from Goods Selling data is updated yearly, averaging 6.950 % from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 9.030 % in 2010 and a record low of 5.700 % in 2009. Russia Structure of Retail Price: Pork: Boneless: Profit(Loss) from Goods Selling data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF001: Structure of Retail Price: Food Products: Annual.

Global Data Loss Prevention Market size valued at US$ 2.27 Billion in 2023, set to reach US$ 13.09 Billion by 2032 at a CAGR of about 21.48% from 2024 to 2032.

Electronic Article Surveillance (EAS) System Market size was valued at USD 1.03 Billion in 2024 and is projected to reach USD 1.34 Billion by 2031, growing at a CAGR of 3.27% from 2024 to 2031.

Russia Structure of Retail Price: Butter: Actual Profit(Loss) data was reported at 3.590 % in 2017. This records a decrease from the previous number of 3.620 % for 2016. Russia Structure of Retail Price: Butter: Actual Profit(Loss) data is updated yearly, averaging -0.040 % from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 3.780 % in 2015 and a record low of -13.000 % in 2009. Russia Structure of Retail Price: Butter: Actual Profit(Loss) data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF001: Structure of Retail Price: Food Products: Annual.

In fiscal year 2022, retailers in the United States reported, on average, an inventory shrink of 1.6 percent. This was a slight increase compared to the previous year and in line with the rates measured in 2020 and 2019. That year, the median inventory shrinkage rate among U.S. retailers came to 1.4 percent.

Inventory shrinkage, which is measured as retail sales loss, is typically caused by internal and external theft, process mistakes, as well as systemic errors.

Russia Structure of Retail Price: Smoked Sausage & Boiled-Smoked: Actual Profit(Loss) data was reported at 6.250 % in 2017. This records a decrease from the previous number of 6.260 % for 2016. Russia Structure of Retail Price: Smoked Sausage & Boiled-Smoked: Actual Profit(Loss) data is updated yearly, averaging 6.255 % from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 8.180 % in 2013 and a record low of 3.710 % in 2011. Russia Structure of Retail Price: Smoked Sausage & Boiled-Smoked: Actual Profit(Loss) data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Prices – Table RU.PF001: Structure of Retail Price: Food Products: Annual.

Cloud security market was valued at USD 43.96 billion in 2023, and is projected to reach USD 97.06 billion by 2032, at a CAGR of 9.2% from 2023-2032

In 2022, payment card fraud losses per 100 U.S. dollars of total sales remained at the same level as in 2020, with 6.8 cents. Fraud losses reached their peak in 2016 at 7.2 cents per 100 U.S. dollars of sales.

In 2023, about 40 percent of surveyed retail brands in the United States said their employees were not authorized to stop or apprehend shoplifters in their stores. Just under 60 percent of brands surveyed said they had loss prevention and asset protection personnel for such scenarios.