Graph and download economic data for Business Applications: Accommodation and Food Services in the United States (BABANAICS72SAUS) from Jul 2004 to Aug 2025 about business applications, accommodation, food, business, services, and USA.

Graph and download economic data for High-Propensity Business Applications: Accommodation and Food Services in the United States (BAHBANAICS72SAUS) from Jul 2004 to Aug 2025 about high-propensity, business applications, accommodation, food, business, services, and USA.

Graph and download economic data for Business Applications with Planned Wages: Accommodation and Food Services in the United States (BAWBANAICS72NSAUS) from Jul 2004 to Aug 2025 about business applications, accommodation, food, wages, business, services, and USA.

Key Food Delivery StatisticsTop Food Delivery AppsFood Delivery Revenue by CountryProjected Food Delivery Market SizeFood Delivery Users by AppUS Food Delivery Market ShareFood Delivery Downloads by...

This dataset presents the monthly audience of the websites and business applications of the Ministry of Agriculture, Agri-Food and Forestry: number of visitors, number of visits, number of pages visited, volume of bandwidth,...

The site displaying the data is protected by a certificate issued by the IGC/A (official state IGC). A security exception may appear if your browser does not recognise this authority: you will find the procedure to be followed to avoid such an alert at: http://www.ssi.gouv.fr/en/anssi/services-securises/igc-a/modalites-de-verification-du-certificat-de-l-igc-a-rsa-4096.html

Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2006 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.

LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).

Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.

Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2006 to present. Frequency: Data is updated daily.

Graph and download economic data for Average Duration (in Quarters) from Business Application to Formation Within Eight Quarters: Accommodation and Food Services in the United States (BFDUR8QNAICS72NSAUS) from Jul 2004 to Dec 2020 about duration, business applications, accommodation, average, food, business, services, and USA.

210.00 (number) in 2021 1 25. High‐Propensity Business Applications (HBA): Business Applications (BA) that have a high propensity of turning into businesses with payroll. The identification of high‐propensity applications is based on the characteristics of applications revealed on the IRS Form SS‐4 that are associated with a high rate of business formation. High‐propensity applications include applications: (a) for a corporate entity, (b) that indicate they are hiring employees, purchasing a business or changing organizational type, (c) that provide a first wages‐paid date (planned wages); or (d) that have a NAICS industry code in manufacturing (31‐33), retail stores (44), health care (62), or restaurants/food service (72).

Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2006 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.

LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).

Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.

Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2006 to present. Frequency: Data is updated daily.

Snapshot img

Mobile Food Services Market Size 2024-2028

The mobile food services market size is forecast to increase by USD 17.7 billion at a CAGR of 9.48% between 2023 and 2028.

The market is experiencing significant growth, driven by several key factors. One of the primary trends is the increasing demand for frozen and convenience foods, as consumers seek time-saving solutions for their busy lifestyles. Another factor fueling market growth is the rising number of marketing initiatives by food service providers, such as food trucks to attract customers through promotions and discounts. Additionally, fluctuations in food commodity prices can impact the market, presenting both opportunities and challenges for players. Overall, the market is expected to continue its growth trajectory, offering numerous opportunities for businesses that can effectively cater to the evolving needs and preferences of consumers.

What will be the Size of the Mobile Food Services Market During the Forecast Period?

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The market encompasses a diverse range of offerings, including food trucks, catering services, carts, trailers, and stands, that cater to the growing demand for convenient, budget-friendly, and time-saving food solutions such as meal kits. Urbanization and the increasing popularity of urban culture have fueled the market's growth, with a target audience that values convenience and the ability to sample a variety of food cuisines. Hygiene standards are paramount in this sector, ensuring that mobile food services maintain the same level of food safety as their brick-and-mortar counterparts. The fast food sector has also embraced mobile food services, offering pre-defined costs, dine-in menus, takeaway portions, and at-door services through e-commerce apps.
However, the market faces challenges such as virus outbreaks and social gatherings restrictions, which can impact food dynamics and the availability of fast-food facilities. Despite these challenges, the market continues to evolve, offering a dynamic and innovative solution to the changing food landscape.

How is this Mobile Food Services Industry segmented and which is the largest segment?

The mobile food services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Food
  Beverages


Application

  Food truck
  Removable container


Geography

  North America

    US


  APAC

    China
    Japan


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Type Insights

The food segment is estimated to witness significant growth during the forecast period.

The market is experiencing steady growth, driven by urbanization and evolving consumer preferences. With the rise of nuclear families and changing lifestyles, the demand for convenient and time-saving food options is increasing. Mobile food services, including food trucks, carts, and trailers, offer a wide range of cuisines, from gourmet burgers and sandwiches to traditional meals and international dishes. Hygiene standards are of utmost importance in this sector, ensuring food safety and quality. Key players in the market include Kogi BBQ, DessertTruck Works, Don Chow Tacos, Baby's Badass Burgers, Flying Pig Truck, Bian Dang, and Burgerville. Consumers are attracted to the tempting menus and budget-friendly prices, as well as the convenience of food delivery and at-door services.

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The food segment was valued at USD 14.10 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 31% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The North American market is experiencing significant growth due to urbanization and the increasing preference for convenience food. With the rise in urban populations and the fast pace of life, consumers are turning to mobile food services such as food trucks, stalls, carts, and trailers for quick, affordable meals. The fast food sector, including offerings like donuts, sandwiches, burgers, pizza, and traditional meals, dominates this market. Hygiene standards are of utmost importance, and these businesses adhere to regulations to ensure food safety. The market is also influenced by inflation and the cost of raw materials, which can impact the pricing of prepared food.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key d

This data compiles regional applications for FTA closure support, which is operated pursuant to the Special Act on Support for Farmers, Fishermen, etc. Following the Conclusion of Free Trade Agreements (FTAs). This data allows for analysis of regional damage levels and industry-specific vulnerabilities. The government and local governments can leverage this data to develop supplementary measures, support restructuring, and policies for reemployment and transitional education. Furthermore, it provides researchers and policymakers with the foundation for assessing the impact of FTAs on agriculture and fisheries and analyzing the effectiveness of support policies. In the long term, this data holds significant significance for developing strategies to strengthen the competitiveness of agriculture and fisheries and foster sustainable development.

This dataset contains 21,321 food order records from various restaurants, capturing crucial details about customer preferences, order trends, pricing, and delivery performance. It includes 6 unique imaginary restaurants, such as Swaad, Aura Pizzas, Dilli Burger Adda, Tandoori Junction, The Chicken Junction, and Masala Junction. The dataset provides a comprehensive view of food delivery operations, making it highly valuable for data analysis, predictive modeling, and machine learning applications.

Key attributes in this dataset include restaurant details (restaurant name, subzone, city), order information (order ID, timestamps, order status, delivery time, distance, number of items), pricing breakdown (bill subtotal, packaging charges, total cost, discounts), and customer feedback (ratings, reviews, order cancellations). It also tracks key delivery insights such as rider wait time, preparation duration, and distance traveled, which can be useful for logistics optimization and demand forecasting.

This dataset can be leveraged for predicting delivery times, analyzing customer behavior, identifying top-performing restaurants, and optimizing pricing strategies. It is particularly useful for food delivery platforms, restaurant managers, and data scientists looking to improve delivery efficiency and customer satisfaction. With rich historical data, this dataset can also be used for building recommendation systems, identifying peak ordering times, and enhancing user experience in food delivery applications.

Food Tracking Technologies Market size was valued at USD 21.06 Billion in 2023 and is projected to reach USD 46.10 Billion by 2031, growing at a CAGR of 10.2% during the forecast period 2024-2031.

Global Food Tracking Technologies Market Drivers

The market drivers for the Food Tracking Technologies Market can be influenced by various factors. These may include:

Raising Conscientiousness About Health: One major market driver for food monitoring devices is the growing consumer awareness of nutrition and health. Technologies that offer information on food quality, nutritional composition, and provenance are becoming more and more popular as people become more aware of their dietary choices and work to maintain a balanced lifestyle. The need for applications that assist in tracking calorie consumption, macronutrient balance, and allergen information is being driven by the increased focus on health. Food makers and merchants are being urged to implement food monitoring systems in order to meet the needs of this trend and guarantee transparency in their products, as consumers are increasingly using smart devices and apps to track their eating habits.

IoT and AI Adoption: One market-changing factor is the incorporation of artificial intelligence (AI) and the Internet of Things (IoT) in food tracking systems. With wearables, smart refrigerators, and applications that link to food databases, users can easily track how much food they consume thanks to IoT-enabled products. By offering individualized suggestions and insights based on each person's unique dietary choices and health objectives, AI improves this experience. This cutting-edge technology delivers predictive analytics for customer behavior and food patterns in addition to increasing monitoring accuracy. Businesses and consumers alike are embracing these technological advancements to enhance food safety and quality control as they grow more advanced and easily obtainable.

Global Food Tracking Technologies Market Restraints

Several factors can act as restraints or challenges for the Food Tracking Technologies Market. These may include:

High Expenses of Implementation: Food tracking technology can come with a hefty upfront cost, covering costs for hardware, software, and employee training. These expenses might be too high for smaller companies, especially those in developing nations, which would prevent them from using cutting-edge tracking solutions. High expenses can also apply to updates and continuing maintenance, which may discourage many players from completely incorporating these technologies into their business processes. As a result, the cost of implementing food tracking solutions may limit market expansion, especially for small and medium-sized businesses (SMEs) that have limited resources and are ill-prepared to make such investments.

Privacy Issues with Data: Due to the fact that food tracking technologies frequently require gathering enormous volumes of data, worries over data security and privacy have grown to be important market barriers. Businesses and consumers alike are become more cautious about the ways in which their data is shared, held, and used. Data breaches and abuse incidents have the potential to damage confidence and draw regulatory attention. Adopting these technologies can be challenging for businesses because they have to navigate complicated legal frameworks governing data privacy. Reputational harm and financial penalties for noncompliance can discourage companies from utilizing food tracking systems to their fullest extent.

Context

Semantic segmentation is the topic of interest among deep learning researchers in the recent era. It has many applications in different domains including, food recognition. In the case of food recognition, it removes the non-food background from the food portion. SEG-FOOD containing images of FOOD101, PFID, and Pakistani Food dataset and open-sourced the annotated dataset for future research. Images are annoated using JS Segment annotator.

Content

This dataset contains images from Food101, PFID, and Pakistani Food Dataset. The dataset is divided into training and testing with ground truth labels of the foods.

Acknowledgements

• Credits to Author G.Ahmed Tahir, Data Available on Github Repo.
• For more information about data Click here.

Food Delivery Market size was valued at USD 505 Billion in 2024 and is projected to reach USD 948 Billion by 2032, growing at a CAGR of 8.4% during the forecast period 2026-2032.Global Food Delivery Market DriversThe market drivers for the food delivery market can be influenced by various factors. These may include:• Increasing Smartphone Penetration: Increasing smartphone access is allowing users to explore food options through apps. Orders are placed through intuitive platforms, and restaurant choices are filtered based on ratings, proximity, and personal preference.• Growing Urbanization: Growing urban populations are supported through faster delivery networks. More people are located near service hubs, so food delivery routes are shortened and access to diverse menus is expanded.

Business licenses issued by the Department of Business Affairs and Consumer Protection in the City of Chicago from 2006 to the present. This dataset contains a large number of records/rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

Data fields requiring description are detailed below.

APPLICATION TYPE: ‘ISSUE’ is the record associated with the initial license application. ‘RENEW’ is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. ‘C_LOC’ is a change of location record. It means the business moved. ‘C_CAPA’ is a change of capacity record. Only a few license types may file this type of application. ‘C_EXPA’ only applies to businesses that have liquor licenses. It means the business location expanded.

LICENSE STATUS: ‘AAI’ means the license was issued. ‘AAC’ means the license was cancelled during its term. ‘REV’ means the license was revoked. 'REA' means the license revocation has been appealed.

LICENSE STATUS CHANGE DATE: This date corresponds to the date a license was cancelled (AAC), revoked (REV) or appealed (REA).

Business License Owner information may be accessed at: https://data.cityofchicago.org/dataset/Business-Owners/ezma-pppn. To identify the owner of a business, you will need the account number or legal name, which may be obtained from this Business Licenses dataset.

Data Owner: Business Affairs and Consumer Protection. Time Period: January 1, 2006 to present. Frequency: Data is updated daily.

The global food safety app market, valued at $150 million in 2025, is projected to experience robust growth, driven by increasing consumer demand for safe food, stringent government regulations, and the rising adoption of digital technologies within the food industry. A compound annual growth rate (CAGR) of 8.7% from 2025 to 2033 indicates a significant market expansion, reaching an estimated $300 million by 2033. Key drivers include the need for enhanced traceability and transparency in the food supply chain, improving efficiency in food safety management, and reducing foodborne illnesses. Growing consumer awareness of food safety risks, coupled with the increasing adoption of smartphones and mobile applications, further fuels market growth. The market is segmented by application (enterprise and personal) and device type (iOS and Android), with the enterprise segment currently dominating due to the implementation of comprehensive food safety management systems by large food manufacturers and retailers. However, the personal segment is poised for significant growth as consumers become more proactive in ensuring the safety of their food purchases and home-prepared meals. Geographic expansion is also expected, with North America and Europe representing significant market shares currently, while Asia-Pacific is projected to witness substantial growth in the coming years, driven by rising disposable incomes and increasing urbanization. The competitive landscape is characterized by a mix of established players and emerging startups. Companies like SafetyCulture and Controlant offer comprehensive solutions for enterprise-level food safety management, while others focus on niche applications, such as food storage management (FoodKeeper) or restaurant-specific hygiene tracking (KitchenLogs). The market's future success hinges on continued innovation, development of user-friendly interfaces, integration with existing food safety management systems, and addressing data privacy concerns effectively. The expansion into emerging markets will require localization efforts and addressing specific regional regulatory requirements. Further growth will also depend on educating consumers about the benefits of using food safety apps and promoting their adoption among smaller food businesses.

DoorDash began life as a paloaltodelivery.com and at launch the four founders ran the entire operation, which included building the app, receiving orders and delivering them. It instilled a culture...

The global Electric Food Cart market is poised for substantial growth, projected to reach an estimated market size of $950 million by 2025, driven by a Compound Annual Growth Rate (CAGR) of 12.5% from 2019 to 2033. This robust expansion is fueled by a confluence of factors, including the burgeoning demand for convenient and mobile food solutions, increased urbanization, and a growing consumer preference for readily accessible street food and quick-service options. The shift towards sustainable and eco-friendly alternatives also significantly bolsters the adoption of electric food carts over their traditional counterparts. Key applications such as night markets and school campuses are leading the charge, offering lucrative opportunities for vendors and entrepreneurs. Furthermore, the increasing awareness and implementation of government initiatives promoting green transportation and small business development are acting as significant accelerators for market penetration. The market is segmented into two primary types: Three-wheel Electric Dining Cars and Four-wheel Electric Dining Cars, with the latter expected to gain more traction due to their enhanced capacity and stability. Major regions like Asia Pacific, led by China and India, are at the forefront of this growth due to their vast populations, vibrant street food cultures, and favorable regulatory environments for small businesses. Europe and North America are also witnessing considerable interest, driven by a rising trend in food trucks and mobile catering services. While the market presents immense opportunities, potential restraints include the initial capital investment, the availability of charging infrastructure, and varying regulatory frameworks across different regions. Nevertheless, the ongoing technological advancements in battery efficiency and cart design, coupled with innovative business models, are expected to overcome these challenges and sustain the positive market trajectory for electric food carts.