This statistic shows the global market size of the restaurant industry in select counties in 2016. The market size of restaurant industry in the United States was around *** billion U.S. dollars.

From the selected regions, the ranking by revenue in the food market is led by China with *** trillion U.S. dollars and is followed by the United States (****** billion U.S. dollars). In contrast, the ranking is trailed by Thailand with ***** billion U.S. dollars, recording a difference of *** trillion U.S. dollars to China. Find other insights concerning similar markets and segments, such as a ranking of subsegments in Canada regarding share in the segment Fish & Seafood and a ranking of subsegments in Latin America regarding revenue in the Food market as a whole. The Statista Market Insights cover a broad range of additional markets.

Indonesia Business Survey: Profit Margin: Trade, hotels and restaurants: Expected Margin data was reported at 17.557 % in Dec 2022. This records an increase from the previous number of 16.566 % for Jun 2022. Indonesia Business Survey: Profit Margin: Trade, hotels and restaurants: Expected Margin data is updated semiannually, averaging 16.837 % from Jun 2016 (Median) to Dec 2022, with 14 observations. The data reached an all-time high of 20.495 % in Dec 2016 and a record low of 13.263 % in Dec 2020. Indonesia Business Survey: Profit Margin: Trade, hotels and restaurants: Expected Margin data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Business and Economic Survey – Table ID.SD010: Business Survey: Profit Margin.

This statistic displays the turnover of the restaurants and mobile food service activities industry in the European Union (EU-28) in 2017, by country. That year the restaurants and mobile food service activities industry produced a turnover of approximately 50.8 billion euros in France.

China CE: Restaurant: Profit Before Exceptional Items data was reported at 16.838 RMB bn in 2018. This records an increase from the previous number of 13.545 RMB bn for 2017. China CE: Restaurant: Profit Before Exceptional Items data is updated yearly, averaging 10.520 RMB bn from Dec 2000 (Median) to 2018, with 16 observations. The data reached an all-time high of 16.838 RMB bn in 2018 and a record low of -1.861 RMB bn in 2000. China CE: Restaurant: Profit Before Exceptional Items data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJE: Catering Enterprise: Restaurant.

Indonesia Business Survey: Profit Margin: Trade, hotels and restaurants: Required Minimum Level Margin data was reported at 13.206 % in Dec 2022. This records an increase from the previous number of 13.053 % for Jun 2022. Indonesia Business Survey: Profit Margin: Trade, hotels and restaurants: Required Minimum Level Margin data is updated semiannually, averaging 12.366 % from Jun 2016 (Median) to Dec 2022, with 14 observations. The data reached an all-time high of 14.010 % in Dec 2017 and a record low of 11.467 % in Jun 2020. Indonesia Business Survey: Profit Margin: Trade, hotels and restaurants: Required Minimum Level Margin data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Business and Economic Survey – Table ID.SD010: Business Survey: Profit Margin.

Hunan: Chain: Restaurant: Business Revenue data was reported at 2.803 RMB bn in 2019. This records a decrease from the previous number of 3.084 RMB bn for 2018. Hunan: Chain: Restaurant: Business Revenue data is updated yearly, averaging 1.243 RMB bn from Dec 2005 (Median) to 2019, with 14 observations. The data reached an all-time high of 3.716 RMB bn in 2016 and a record low of 0.050 RMB bn in 2005. Hunan: Chain: Restaurant: Business Revenue data remains active status in CEIC and is reported by Ministry of Commerce, China General Chamber of Commerce. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.CCAB: Restaurant: Hunan.

Fujian: Chain: Restaurant: Business Revenue data was reported at 1.033 RMB bn in 2019. This records an increase from the previous number of 0.807 RMB bn for 2018. Fujian: Chain: Restaurant: Business Revenue data is updated yearly, averaging 0.369 RMB bn from Dec 2005 (Median) to 2019, with 15 observations. The data reached an all-time high of 2.520 RMB bn in 2012 and a record low of 0.048 RMB bn in 2005. Fujian: Chain: Restaurant: Business Revenue data remains active status in CEIC and is reported by Ministry of Commerce, China General Chamber of Commerce. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.CCAB: Restaurant: Fujian.

Contribution Margin Pricing for Restaurants Market Outlook

According to our latest research, the Global Contribution Margin Pricing for Restaurants market size was valued at $2.8 billion in 2024 and is projected to reach $8.6 billion by 2033, expanding at a CAGR of 13.2% during 2024–2033. The primary growth driver for this market is the increasing adoption of data-driven pricing strategies that enable restaurants to maximize profitability amid rising operational costs and shifting consumer preferences. As the global restaurant industry becomes more competitive and cost-sensitive, leveraging contribution margin pricing models allows operators to optimize menu offerings, set dynamic prices, and improve overall financial performance. This approach not only enhances revenue management but also ensures sustainability by aligning pricing with real-time demand and cost structures.

Regional Outlook

North America holds the largest share in the Contribution Margin Pricing for Restaurants market, accounting for approximately 38% of the global market value in 2024. The region’s dominance is attributed to its mature restaurant industry, widespread adoption of advanced restaurant management technologies, and a strong culture of menu engineering and data analytics. Regulatory frameworks in the United States and Canada support transparency and innovation in pricing strategies, while the presence of leading technology providers and consulting firms further accelerates the adoption of contribution margin pricing models. Furthermore, North American consumers are increasingly responsive to personalized pricing and value-driven menu offerings, prompting restaurants to invest in sophisticated pricing tools and analytics platforms.

The Asia Pacific region is projected to be the fastest-growing market, with a robust CAGR of 15.8% during the forecast period. Rapid urbanization, a booming foodservice sector, and the proliferation of digital ordering platforms are key factors driving investment in contribution margin pricing solutions across countries like China, India, Japan, and Southeast Asia. Restaurant chains in the region are leveraging cloud-based pricing analytics to respond to fluctuating demand, optimize supply chains, and manage volatile ingredient costs. Additionally, the rise of online food delivery and aggregator platforms has prompted operators to adopt dynamic and bundled pricing models to stay competitive and capture a broader customer base.

Emerging economies in Latin America and Middle East & Africa are gradually embracing contribution margin pricing, though adoption is tempered by challenges such as limited access to advanced analytics, fragmented restaurant markets, and regulatory complexities. In these regions, localized demand for affordable dining options and growing awareness of profitability optimization are encouraging independent and chain restaurants to explore menu engineering and bundled pricing strategies. However, inconsistent policy environments and technology infrastructure gaps can hinder widespread implementation, making partnerships with technology vendors and local consultants essential for successful market penetration.

Report Scope

China CE: Restaurant: Revenue data was reported at 356.787 RMB bn in 2018. This records an increase from the previous number of 344.769 RMB bn for 2017. China CE: Restaurant: Revenue data is updated yearly, averaging 205.212 RMB bn from Dec 1999 (Median) to 2018, with 19 observations. The data reached an all-time high of 358.007 RMB bn in 2016 and a record low of 28.421 RMB bn in 1999. China CE: Restaurant: Revenue data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJE: Catering Enterprise: Restaurant.

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Over the five years through 2025, restaurant and takeaway revenue is expected to rise at a compound annual rate of 3.7%. France’s culinary heritage is internationally renowned. However, the industry is navigating a shift. Despite numerous Michelin-starred restaurants indicating the quality of France’s food scene, economic headwinds like climbing inflation have dampened consumer spending in recent years, keeping people from dining out as frequently. In response, restaurants are leaning into cost-friendly options like prix fixe menus and casual dining. Fast-food chains, are thriving, riding the wave of demand for affordability and convenience, while bistronomy – where restaurants merge casual formats and gourmet perks – is performing well by targeting value seekers. In 2025, revenue is slated to grow by 3.7% to €58.2 billion. France’s multicultural population is driving demand for diverse flavours. Cities like Paris buzz with international eateries, driven by countries like Peru and Thailand. At the same time, health consciousness and sustainability are reshaping dining habits, driving a surge in demand for plant-based offerings, ethical sourcing and transparent supply chains to capture demand. Profit is expected to have remained steady over the past four years thanks to price adjustments strategies, with rising ingredient costs encouraging restaurants to regularly adjust menu prices to protect their returns. Over the five years through 2030, revenue is expected to swell at a compound annual rate of 1.2% to €61.7 billion. Multicultural flavours will continue to take centre-stage, reflecting France’s multicultural population, as well as appealing to a global audience. Health and environmental consciousness will continue to flourish. As diners prioritise well-being, restaurants will spotlight functional ingredients and cater to niches like veganism and eco-gastronomy, . Casual dining should expand as diners become more financially cautious, presenting growth opportunities for versatile eateries. Digitalisation will also continue to redefine dining experiences, with tools like self-service kiosks, streamlining operations, reducing costs and enhancing customer satisfaction. Meanwhile, it’s a tough choice deciding where to set up base. While Paris dazzles, regions like Vale de Loire, Provence-Alpes-Côte d'Azur and Hauts-de-France offer rich opportunities with growing tourist numbers and vibrant local flavours.

In 2023, the Swedish food service industry generated its highest revenue in the Stockholm region, amounting to approximately ** billion Swedish kronor. By comparison, the Northern region of the country accounted for the smallest food service revenue, with **** billion Swedish kronor.

The revenue generated by full-service restaurants in Spain increased to more than ** billion euros in 2022, after being affected in the previous two years due to COVID-19 pandemic. The entire restaurant industry's revenue in the Iberian country reached **** billion euros in 2022.

Zhejiang: Chain: Restaurant: Business Revenue data was reported at 3.321 RMB bn in 2019. This records an increase from the previous number of 2.362 RMB bn for 2018. Zhejiang: Chain: Restaurant: Business Revenue data is updated yearly, averaging 2.455 RMB bn from Dec 2005 (Median) to 2019, with 15 observations. The data reached an all-time high of 3.935 RMB bn in 2011 and a record low of 0.671 RMB bn in 2005. Zhejiang: Chain: Restaurant: Business Revenue data remains active status in CEIC and is reported by Ministry of Commerce, China General Chamber of Commerce. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.CCAB: Restaurant: Zhejiang.

This statistic shows a ranking of the estimated per capita consumer spending on restaurants & hotels in 2020 in Europe, differentiated by country. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 11. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.The shown forecast is adjusted for the expected impact of the COVID-19 pandemic on the local economy. The impact has been estimated by considering both direct (e.g. because of restrictions on personal movement) and indirect (e.g. because of weakened purchasing power) effects. The impact assessment is subject to periodic review as more data becomes available.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

From the selected regions, the ranking by total consumer spending on restaurants and hotels is led by the United States with *** trillion U.S. dollars and is followed by China (***** billion U.S. dollars). In contrast, the ranking is trailed by Lesotho with **** million U.S. dollars, recording a difference of *** trillion U.S. dollars to the United States. Consumer spending, in this case concerning restaurants and hotels, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group **. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.

In 2023, foreign cuisine franchise restaurants operating in Gyeonggi (Gyeonggi Province), South Korea recorded a collective sales revenue of around **** trillion South Korean won. This province had the most active foreign cuisine restaurants in the country, with a total of ****** such restaurants operating nationwide.

China Chain: Restaurant: Business Revenue data was reported at 100.450 RMB bn in 2023. This records an increase from the previous number of 67.460 RMB bn for 2022. China Chain: Restaurant: Business Revenue data is updated yearly, averaging 45.550 RMB bn from Dec 2003 (Median) to 2023, with 21 observations. The data reached an all-time high of 100.450 RMB bn in 2023 and a record low of 13.791 RMB bn in 2003. China Chain: Restaurant: Business Revenue data remains active status in CEIC and is reported by Ministry of Commerce, China General Chamber of Commerce. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.CCAB: Restaurant.

Gansu: Chain: Restaurant: Business Revenue data was reported at 0.026 RMB bn in 2017. This records an increase from the previous number of 0.021 RMB bn for 2016. Gansu: Chain: Restaurant: Business Revenue data is updated yearly, averaging 0.053 RMB bn from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 0.092 RMB bn in 2006 and a record low of 0.021 RMB bn in 2016. Gansu: Chain: Restaurant: Business Revenue data remains active status in CEIC and is reported by Ministry of Commerce, China General Chamber of Commerce. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.CCAB: Restaurant: Gansu.