Graph and download economic data for Manufacturers' Finished Goods Inventories: Food Products (A11SFI) from Jan 1992 to May 2025 about finished, fabrication, inventories, nondurable goods, food, production, goods, manufacturing, industry, and USA.

Food Safety Big Data Market Outlook

The global market size for Food Safety Big Data was valued at USD 6.3 billion in 2023 and is projected to reach USD 14.5 billion by 2032, growing at a compounded annual growth rate (CAGR) of 9.5% during the forecast period. This remarkable growth can be attributed to the increasing need for stringent food safety regulations, advancements in technology, and a growing awareness among consumers about foodborne illnesses and their impact on health.

One of the primary growth factors driving the Food Safety Big Data market is the rising incidence of foodborne diseases worldwide, which has necessitated more robust food safety measures. Governments and regulatory bodies are enforcing stricter compliance frameworks to ensure the safety and quality of food products. As a result, food manufacturers, retailers, and service providers are increasingly adopting Big Data analytics to monitor and ensure food safety at various stages of the supply chain. This adoption helps mitigate risks, ensure compliance, and ultimately protect consumer health.

Another significant growth driver is technological advancements in data analytics and artificial intelligence (AI). The integration of AI with Big Data analytics allows for more efficient and accurate predictive analysis, identifying potential risks before they become critical issues. This technological synergy enhances the ability to monitor, track, and trace food products throughout their lifecycle, from production to consumption. Moreover, the increasing affordability and accessibility of these technologies are making it feasible for small and medium enterprises (SMEs) to leverage Big Data solutions for food safety.

The growing consumer demand for transparency and accountability in food production is also fueling market expansion. Modern consumers are more informed and concerned about the origins and safety of their food. This shift in consumer behavior has led to increased adoption of Big Data solutions by food companies to provide detailed information about their products, ensuring transparency and building consumer trust. Consequently, the Food Safety Big Data market is witnessing a surge in investments aimed at enhancing data collection, analysis, and reporting capabilities.

From a regional perspective, North America currently holds the largest share of the Food Safety Big Data market, driven by stringent food safety regulations and significant technological advancements. However, the Asia Pacific region is expected to exhibit the fastest growth during the forecast period, owing to increasing government initiatives to improve food safety standards and a rapidly growing food and beverage industry. Europe, Latin America, and the Middle East & Africa are also experiencing steady growth, supported by similar regulatory and technological trends.

Component Analysis

The Food Safety Big Data market can be segmented by component into software, hardware, and services. The software segment is expected to dominate the market during the forecast period due to the critical role it plays in analyzing vast amounts of data to ensure food safety. Advanced software solutions enable real-time monitoring, data collection, and predictive analytics, which are essential for identifying and addressing potential food safety issues promptly. With the continuous advancements in software technology, including AI and machine learning, the capabilities of these solutions are expanding, making them indispensable for food safety management.

Hardware components, although not as dominant as software, are equally crucial for the effective implementation of Food Safety Big Data solutions. These include sensors, RFID tags, and IoT devices that collect real-time data from various stages of the food supply chain. The integration of these hardware components with advanced software solutions creates a comprehensive food safety monitoring system. The increasing adoption of IoT and connected devices in the food industry is expected to drive the growth of the hardware segment, as these devices provide critical data that supports predictive analytics and risk management.

The services segment encompasses a range of offerings, including consulting, system integration, and managed services, which facilitate the deployment and operation of Food Safety Big Data solutions. Consulting services help organizations design and implement effective data management strategies, while system integration services ensure seamless connectivity between various hardware and software components. Managed services provide ongoing support and m

Comprehensive dataset of 814 Food manufacturing supplies in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Food, beverages and tobacco (% of value added in manufacturing) in Norway was reported at 6.4441 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Norway - Food, beverages and tobacco (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Food, beverages and tobacco (% of value added in manufacturing) in Saudi Arabia was reported at 10.49 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Saudi Arabia - Food, beverages and tobacco (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Graph and download economic data for All Employees, Food Manufacturing (CEU3231100001) from Jan 1990 to Jun 2025 about nondurable goods, establishment survey, food, goods, manufacturing, employment, and USA.

China Value Added of Industry: Food Manufacturing data was reported at 186,156.000 RMB mn in 2007. This records an increase from the previous number of 146,725.000 RMB mn for 2006. China Value Added of Industry: Food Manufacturing data is updated yearly, averaging 38,418.000 RMB mn from Dec 1993 (Median) to 2007, with 14 observations. The data reached an all-time high of 186,156.000 RMB mn in 2007 and a record low of 18,737.000 RMB mn in 1993. China Value Added of Industry: Food Manufacturing data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BE: Value Added of Industry: By Industry.

Food, beverages and tobacco (% of value added in manufacturing) in China was reported at 11.83 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Food, beverages and tobacco (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Food, beverages and tobacco (% of value added in manufacturing) in Chile was reported at 40.24 % in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Chile - Food, beverages and tobacco (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Food, beverages and tobacco (% of value added in manufacturing) in Denmark was reported at 12.32 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Denmark - Food, beverages and tobacco (% of value added in manufacturing) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

This dataset measures food availability and access for 76 low- and middle-income countries. The dataset includes annual country-level data on area, yield, production, nonfood use, trade, and consumption for grains and root and tuber crops (combined as R&T in the documentation tables), food aid, total value of imports and exports, gross domestic product, and population compiled from a variety of sources. This dataset is the basis for the International Food Security Assessment 2015-2025 released in June 2015. This annual ERS report projects food availability and access for 76 low- and middle-income countries over a 10-year period. Countries (Spatial Description, continued): Democratic Republic of the Congo, Ecuador, Egypt, El Salvador, Eritrea, Ethiopia, Gambia, Georgia, Ghana, Guatemala, Guinea, Guinea-Bissau, Haiti, Honduras, India, Indonesia, Jamaica, Kenya, Kyrgyzstan, Laos, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania, Moldova, Mongolia, Morocco, Mozambique, Namibia, Nepal, Nicaragua, Niger, Nigeria, North Korea, Pakistan, Peru, Philippines, Rwanda, Senegal, Sierra Leone, Somalia, Sri Lanka, Sudan, Swaziland, Tajikistan, Tanzania, Togo, Tunisia, Turkmenistan, Uganda, Uzbekistan, Vietnam, Yemen, Zambia, and Zimbabwe. Resources in this dataset:Resource Title: CSV File for all years and all countries. File Name: gfa25.csvResource Title: International Food Security country data. File Name: GrainDemandProduction.xlsxResource Description: Excel files of individual country data. Please note that these files provide the data in a different layout from the CSV file. This version of the data files was updated 9-2-2021

More up-to-date files may be found at: https://www.ers.usda.gov/data-products/international-food-security.aspx

What We Eat in America (WWEIA) is the dietary intake interview component of the National Health and Nutrition Examination Survey (NHANES). WWEIA is conducted as a partnership between the U.S. Department of Agriculture (USDA) and the U.S. Department of Health and Human Services (DHHS). Two days of 24-hour dietary recall data are collected through an initial in-person interview, and a second interview conducted over the telephone within three to 10 days. Participants are given three-dimensional models (measuring cups and spoons, a ruler, and two household spoons) and/or USDA's Food Model Booklet (containing drawings of various sizes of glasses, mugs, bowls, mounds, circles, and other measures) to estimate food amounts. WWEIA data are collected using USDA's dietary data collection instrument, the Automated Multiple-Pass Method (AMPM). The AMPM is a fully computerized method for collecting 24-hour dietary recalls either in-person or by telephone. For each 2-year data release cycle, the following dietary intake data files are available: Individual Foods File - Contains one record per food for each survey participant. Foods are identified by USDA food codes. Each record contains information about when and where the food was consumed, whether the food was eaten in combination with other foods, amount eaten, and amounts of nutrients provided by the food. Total Nutrient Intakes File - Contains one record per day for each survey participant. Each record contains daily totals of food energy and nutrient intakes, daily intake of water, intake day of week, total number foods reported, and whether intake was usual, much more than usual or much less than usual. The Day 1 file also includes salt use in cooking and at the table; whether on a diet to lose weight or for other health-related reason and type of diet; and frequency of fish and shellfish consumption (examinees one year or older, Day 1 file only). DHHS is responsible for the sample design and data collection, and USDA is responsible for the survey’s dietary data collection methodology, maintenance of the databases used to code and process the data, and data review and processing. USDA also funds the collection and processing of Day 2 dietary intake data, which are used to develop variance estimates and calculate usual nutrient intakes. Resources in this dataset:Resource Title: What We Eat In America (WWEIA) main web page. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/wweianhanes-overview/ Contains data tables, research articles, documentation data sets and more information about the WWEIA program. (Link updated 05/13/2020)

Graph and download economic data for Sectoral Output for Manufacturing: Food Manufacturing (NAICS 311) in the United States (IPUEN311T300000000) from 1987 to 2024 about NAICS, IP, food, production, manufacturing, and USA.

The global shop floor data collection software market is expected to reach $X million by 2033 at a CAGR of XX%, driven by several factors, including the increasing need for real-time data visibility, improved productivity, and compliance with industry regulations. The demand for on-premises and cloud-based solutions is growing across various industries, such as aerospace, IT, automobile, food, and medical. Key market trends include the adoption of IoT devices for data collection, integration with enterprise resource planning (ERP) and manufacturing execution systems (MES), and the rise of artificial intelligence (AI) and data analytics for improving decision-making. The market is fragmented with numerous established players like Plantrun, EFI, and ShopFloorConnect, as well as niche solution providers focusing on specific industries or segments. North America holds the largest market share due to the presence of major manufacturing hubs, while Asia Pacific shows promising growth potential with increasing industrialization and digital transformation initiatives.

Comprehensive dataset of 13 Food manufacturing supplies in State of Acre, Brazil as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

China IE: Current Asset: Food Manufacturing data was reported at 1,317.720 RMB bn in Mar 2025. This records a decrease from the previous number of 1,332.090 RMB bn for Feb 2025. China IE: Current Asset: Food Manufacturing data is updated monthly, averaging 506.548 RMB bn from Dec 1998 (Median) to Mar 2025, with 290 observations. The data reached an all-time high of 1,332.090 RMB bn in Feb 2025 and a record low of 63.207 RMB bn in Mar 1999. China IE: Current Asset: Food Manufacturing data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHB: Food.

Graph and download economic data for Labor Productivity for Manufacturing: Other Food Manufacturing (NAICS 3119) in the United States (IPUEN3119L000000000) from 1987 to 2024 about productivity, NAICS, IP, food, labor, manufacturing, and USA.

The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries.The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During the first round of the system, from June to November 2020, more than 40,000 interviews have been completed in more than 20 countries. Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC.The present dashboard shows the portion of data referring to Livestock Production from Colombia, Liberia, DRC, Sierra Leone, Niger, Somalia, Zimbabwe and Mali.

United States Avg Hourly Earnings: Mfg: NG: Food Manufacturing data was reported at 20.520 USD in Oct 2018. This records an increase from the previous number of 20.470 USD for Sep 2018. United States Avg Hourly Earnings: Mfg: NG: Food Manufacturing data is updated monthly, averaging 17.895 USD from Mar 2006 (Median) to Oct 2018, with 152 observations. The data reached an all-time high of 20.740 USD in Apr 2018 and a record low of 15.400 USD in Mar 2006. United States Avg Hourly Earnings: Mfg: NG: Food Manufacturing data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G032: Current Employment Statistics Survey: Average Weekly and Hourly Earnings.