The global cloud kitchen market size was estimated at US$ 57.31 billion in 2021 and is expected to hit US$ 139.45 billion by 2030, poised to grow at a CAGR of 10.4% during the forecast period 2022 to 2030.
Growth Factors:
Increasing consumer preference for online food services over dining experiences is one of the major factors contributing to the market growth. Amid the COVID-19 pandemic, when dine-in facilities were shut as a precautionary measure to stop the spread of the virus, online food ordering and delivery services gained popularity among consumers. The rising demand for online food delivery services has encouraged several restaurateurs have opened cloud kitchen outlets to serve customers and generate orders.
The COVID-19 pandemic brought several challenges before the food industry. Dine-in businesses, which contribute to nearly two-thirds of the food industry, were severely affected and faced intense financial crunch because of the lack of regular customer orders. Moreover, varying degrees of lockdowns and related restrictions in several countries globally have helped the food delivery service model gain increased prominence. As cloud kitchens work entirely on the delivery-only model, restaurateurs could easily continue their businesses and serve customers efficiently.
Cloud kitchens, often referred to as virtual or ghost kitchens, are much more affordable to run compared to conventional kitchens in dine-in restaurants; ghost kitchens do not require dine-in facilities or account for costs related to property and location. Cloud kitchens also have comparatively higher profit margins than dine-in restaurants. The flexibility of operating ghost kitchens from any location, ranging from parking spaces and warehouses to basements, is another key factor adding to the popularity of cloud kitchens. Owing to the large range of benefits, along with the rising real-estate costs and competition among dine-in restaurants, entrepreneurs and restaurateurs are expected to increasingly adopt ghost kitchens in the near future.
Report Scope of the Cloud Kitchen Market
Report Coverage |
Details |
Market Size by 2030 |
USD 139.45 Billion |
Growth Rate from 2022 to 2030 |
CAGR of 10.4% |
Largest Market |
Asia Pacific |
Fastest Growing Market |
North America |
Base Year |
2021 |
Forecast Period |
2022 to 2030 |
Segments Covered |
Type, Deployment Types, Solutions, Product, Nature, Geography |
Companies Mentioned |
Kitchen United, Rebel Foods, DoorDash Kitchen, Zuul Kitchen, Keatz, Kitopi, Ghost Kitchen Orlando, Dahmakan, Starbucks (Star Kitchen), Cloud Kitchen |
Furthermore, the rising demand for digital ordering solutions favors market growth. Individual ghost kitchens with their online ordering solutions are also witnessing increased adoption. A dedicated online ordering solution drives consumers directly to the business and reduces aggregator’s commission, which could account for anywhere around one-fifth of the overall cloud kitchen costs. Advancements in technology are also helping restaurateurs to operate more efficiently and increase their profit margins. For instance, restaurateurs could use advanced tools to derive consumer insights to analyze and update their menu based on popularity and replace items with a higher margin item.
Food entrepreneurs and operators that test new offerings and offer creative foods prefer ghost kitchens to test and identify foods before presenting them to guests or consumers. Furthermore, ghost kitchens allow businesses the opportunity to serve customers directly without the pressure of additional costs and the constantly rising real-estate prices. Moreover, restaurants with the sole purpose of delivering foods targeted to specific customers can operate under more than one brand from the same kitchen, allowing them to make the most of their ingredients and reduce additional raw material costs.
Type Insights
Based on the type, the independent kitchen segment dominated the global cloud kitchen market, garnering a market share of around 60% in 2020. The rapid increase in the number of standalone brands across the globe that serves the customers through a single location. The growing preferences of the customers to order food from the online food delivery apps owing to the associated conveniences with it has significantly boosted the growth of this segment. The growing demand among the customers for the international cuisines and fast food through online delivery channels is expected to sustain the dominance of this segment throughout the forecast period.
On the other hand, the commissary/shared kitchen segment is estimated to grow at a CAGR of 13% during the forecast period. The growing popularity of the shared kitchen concept among the restaurateurs and the food service providers has fueled the growth of the commissary/shared kitchen segment. Moreover, the restaurant owners are renting out their extra spaces to the food service providers to earn extra income, which is fueling the growth of the shared kitchen segment.
Nature Insights
Franchised segment has generated a revenue share of more than 60% and dominated the global cloud kitchen market in 2020. The rapid growth in the online food delivery apps has offered a huge growth opportunity to the cloud kitchen brands that has fostered the growth of the franchised segment. The increasing penetration of the popular franchises, especially in the developing regions has fostered the growth of this segment. Furthermore, the franchisor extends its support, training, and marketing activities to the franchisee that favors that establishment of the franchise at many locations and hence supports the segment’s growth across the globe.
The standalone is expected to be the fastest-growing segment during the forecast period. The minimum investment, higher profitability, and ease of operations has significantly boosted the growth of the standalone cloud kitchens across the globe. Moreover, the support from the food delivery providers has supplemented the growth of this segment.
Regional Insights
The popularity of cloud kitchens is more prominent in the Asia Pacific region, which accounted for more than 60% of the global market in 2020. The increasing trend of cloud kitchens across countries such as China and India is driving the regional market. Rising disposable incomes and the increased adoption of smartphone applications among millennials are key factors leading to the rise in online food delivery services. Additionally, the demand for online food delivery services increased during the COVID-19 pandemic when dine-in restaurants were closed, which led to the establishment of several cloud kitchens in the region, resulting in regional market growth.
North America is expected to register a CAGR of around 10% over the forecast period. Factors such as the increasing buying power of consumers, access to several digital touchpoints, and a rise in demand for fast foods are favoring the development of ghost kitchens in the region. Furthermore, increasing awareness about the benefits of cloud kitchens among operators is encouraging several franchised store outlets and aggregators to establish cloud or ghost kitchens.
Some of the prominent players in the Cloud Kitchen Market include:
Segments Covered in the Report
This research report offers market revenue, sales volume, production assessment and prognoses by classifying it on the basis of various aspects. Further, this research study investigates market size, production, consumption and its development trends at global, regional, and country level for the period of 2017 to 2030 and covers subsequent region in its scope:
By Type
By Nature
By Product
By Deployment Types
By Solutions
By Geography
North America
Europe
Asia Pacific
Latin America
Middle East & Africa (MEA)
Key Points Covered in Cloud Kitchen Market Study:
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Cloud Kitchen Market
5.1. COVID-19 Landscape: Cloud Kitchen Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Cloud Kitchen Market, By Type
8.1. Cloud Kitchen Market, by Type, 2022-2030
8.1.1. Independent
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Commissary/Shared Kitchen
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Kitchen Pods
8.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Cloud Kitchen Market, By Nature
9.1. Cloud Kitchen Market, by Nature Type, 2022-2030
9.1.1. Standalone
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Franchised
9.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Cloud Kitchen Market, By Product
10.1. Cloud Kitchen Market, by Product Type, 2022-2030
10.1.1. Burger/Sandwich
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Pizza/Pasta
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Chicken
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Seafood
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Mexican/Asian Food
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.6. Others
10.1.6.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Cloud Kitchen Market, By Deployment Type
11.1. Cloud Kitchen Market, by Deployment Type, 2022-2030
11.1.1. Web
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Mobile
11.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Cloud Kitchen Market, By Solutions
12.1. Cloud Kitchen Market, by Solutions, 2022-2030
12.1.1. Order Management
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. Brand Management
12.1.2.1. Market Revenue and Forecast (2017-2030)
12.1.3. Inventory Management
12.1.3.1. Market Revenue and Forecast (2017-2030)
12.1.4. Customer Experience Management
12.1.4.1. Market Revenue and Forecast (2017-2030)
12.1.5. Marketing Management
12.1.5.1. Market Revenue and Forecast (2017-2030)
12.1.6. Reporting & Analytics
12.1.6.1. Market Revenue and Forecast (2017-2030)
12.1.7. Others
12.1.7.1. Market Revenue and Forecast (2017-2030)
Chapter 13. Global Cloud Kitchen Market, Regional Estimates and Trend Forecast
13.1. North America
13.1.1. Market Revenue and Forecast, by Type (2017-2030)
13.1.2. Market Revenue and Forecast, by Nature (2017-2030)
13.1.3. Market Revenue and Forecast, by Product (2017-2030)
13.1.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.1.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.1.6. U.S.
13.1.6.1. Market Revenue and Forecast, by Type (2017-2030)
13.1.6.2. Market Revenue and Forecast, by Nature (2017-2030)
13.1.6.3. Market Revenue and Forecast, by Product (2017-2030)
13.1.6.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.1.7. Market Revenue and Forecast, by Solutions (2017-2030)
13.1.8. Rest of North America
13.1.8.1. Market Revenue and Forecast, by Type (2017-2030)
13.1.8.2. Market Revenue and Forecast, by Nature (2017-2030)
13.1.8.3. Market Revenue and Forecast, by Product (2017-2030)
13.1.8.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.1.8.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.2. Europe
13.2.1. Market Revenue and Forecast, by Type (2017-2030)
13.2.2. Market Revenue and Forecast, by Nature (2017-2030)
13.2.3. Market Revenue and Forecast, by Product (2017-2030)
13.2.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.2.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.2.6. UK
13.2.6.1. Market Revenue and Forecast, by Type (2017-2030)
13.2.6.2. Market Revenue and Forecast, by Nature (2017-2030)
13.2.6.3. Market Revenue and Forecast, by Product (2017-2030)
13.2.7. Market Revenue and Forecast, by Deployment (2017-2030)
13.2.8. Market Revenue and Forecast, by Solutions (2017-2030)
13.2.9. Germany
13.2.9.1. Market Revenue and Forecast, by Type (2017-2030)
13.2.9.2. Market Revenue and Forecast, by Nature (2017-2030)
13.2.9.3. Market Revenue and Forecast, by Product (2017-2030)
13.2.10. Market Revenue and Forecast, by Deployment (2017-2030)
13.2.11. Market Revenue and Forecast, by Solutions (2017-2030)
13.2.12. France
13.2.12.1. Market Revenue and Forecast, by Type (2017-2030)
13.2.12.2. Market Revenue and Forecast, by Nature (2017-2030)
13.2.12.3. Market Revenue and Forecast, by Product (2017-2030)
13.2.12.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.2.13. Market Revenue and Forecast, by Solutions (2017-2030)
13.2.14. Rest of Europe
13.2.14.1. Market Revenue and Forecast, by Type (2017-2030)
13.2.14.2. Market Revenue and Forecast, by Nature (2017-2030)
13.2.14.3. Market Revenue and Forecast, by Product (2017-2030)
13.2.14.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.2.15. Market Revenue and Forecast, by Solutions (2017-2030)
13.3. APAC
13.3.1. Market Revenue and Forecast, by Type (2017-2030)
13.3.2. Market Revenue and Forecast, by Nature (2017-2030)
13.3.3. Market Revenue and Forecast, by Product (2017-2030)
13.3.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.3.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.3.6. India
13.3.6.1. Market Revenue and Forecast, by Type (2017-2030)
13.3.6.2. Market Revenue and Forecast, by Nature (2017-2030)
13.3.6.3. Market Revenue and Forecast, by Product (2017-2030)
13.3.6.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.3.7. Market Revenue and Forecast, by Solutions (2017-2030)
13.3.8. China
13.3.8.1. Market Revenue and Forecast, by Type (2017-2030)
13.3.8.2. Market Revenue and Forecast, by Nature (2017-2030)
13.3.8.3. Market Revenue and Forecast, by Product (2017-2030)
13.3.8.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.3.9. Market Revenue and Forecast, by Solutions (2017-2030)
13.3.10. Japan
13.3.10.1. Market Revenue and Forecast, by Type (2017-2030)
13.3.10.2. Market Revenue and Forecast, by Nature (2017-2030)
13.3.10.3. Market Revenue and Forecast, by Product (2017-2030)
13.3.10.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.3.10.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.3.11. Rest of APAC
13.3.11.1. Market Revenue and Forecast, by Type (2017-2030)
13.3.11.2. Market Revenue and Forecast, by Nature (2017-2030)
13.3.11.3. Market Revenue and Forecast, by Product (2017-2030)
13.3.11.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.3.11.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.4. MEA
13.4.1. Market Revenue and Forecast, by Type (2017-2030)
13.4.2. Market Revenue and Forecast, by Nature (2017-2030)
13.4.3. Market Revenue and Forecast, by Product (2017-2030)
13.4.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.4.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.4.6. GCC
13.4.6.1. Market Revenue and Forecast, by Type (2017-2030)
13.4.6.2. Market Revenue and Forecast, by Nature (2017-2030)
13.4.6.3. Market Revenue and Forecast, by Product (2017-2030)
13.4.6.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.4.7. Market Revenue and Forecast, by Solutions (2017-2030)
13.4.8. North Africa
13.4.8.1. Market Revenue and Forecast, by Type (2017-2030)
13.4.8.2. Market Revenue and Forecast, by Nature (2017-2030)
13.4.8.3. Market Revenue and Forecast, by Product (2017-2030)
13.4.8.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.4.9. Market Revenue and Forecast, by Solutions (2017-2030)
13.4.10. South Africa
13.4.10.1. Market Revenue and Forecast, by Type (2017-2030)
13.4.10.2. Market Revenue and Forecast, by Nature (2017-2030)
13.4.10.3. Market Revenue and Forecast, by Product (2017-2030)
13.4.10.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.4.10.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.4.11. Rest of MEA
13.4.11.1. Market Revenue and Forecast, by Type (2017-2030)
13.4.11.2. Market Revenue and Forecast, by Nature (2017-2030)
13.4.11.3. Market Revenue and Forecast, by Product (2017-2030)
13.4.11.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.4.11.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.5. Latin America
13.5.1. Market Revenue and Forecast, by Type (2017-2030)
13.5.2. Market Revenue and Forecast, by Nature (2017-2030)
13.5.3. Market Revenue and Forecast, by Product (2017-2030)
13.5.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.5.5. Market Revenue and Forecast, by Solutions (2017-2030)
13.5.6. Brazil
13.5.6.1. Market Revenue and Forecast, by Type (2017-2030)
13.5.6.2. Market Revenue and Forecast, by Nature (2017-2030)
13.5.6.3. Market Revenue and Forecast, by Product (2017-2030)
13.5.6.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.5.7. Market Revenue and Forecast, by Solutions (2017-2030)
13.5.8. Rest of LATAM
13.5.8.1. Market Revenue and Forecast, by Type (2017-2030)
13.5.8.2. Market Revenue and Forecast, by Nature (2017-2030)
13.5.8.3. Market Revenue and Forecast, by Product (2017-2030)
13.5.8.4. Market Revenue and Forecast, by Deployment (2017-2030)
13.5.8.5. Market Revenue and Forecast, by Solutions (2017-2030)
Chapter 14. Company Profiles
14.1. Kitchen United
14.1.1. Company Overview
14.1.2. Product Offerings
14.1.3. Financial Performance
14.1.4. Recent Initiatives
14.2. Rebel Foods
14.2.1. Company Overview
14.2.2. Product Offerings
14.2.3. Financial Performance
14.2.4. Recent Initiatives
14.3. DoorDash Kitchen
14.3.1. Company Overview
14.3.2. Product Offerings
14.3.3. Financial Performance
14.3.4. Recent Initiatives
14.4. Zuul Kitchen
14.4.1. Company Overview
14.4.2. Product Offerings
14.4.3. Financial Performance
14.4.4. Recent Initiatives
14.5. Keatz
14.5.1. Company Overview
14.5.2. Product Offerings
14.5.3. Financial Performance
14.5.4. Recent Initiatives
14.6. Kitopi
14.6.1. Company Overview
14.6.2. Product Offerings
14.6.3. Financial Performance
14.6.4. Recent Initiatives
14.7. Ghost Kitchen Orlando
14.7.1. Company Overview
14.7.2. Product Offerings
14.7.3. Financial Performance
14.7.4. Recent Initiatives
14.8. Dahmakan
14.8.1. Company Overview
14.8.2. Product Offerings
14.8.3. Financial Performance
14.8.4. Recent Initiatives
14.9. Starbucks (Star Kitchen)
14.9.1. Company Overview
14.9.2. Product Offerings
14.9.3. Financial Performance
14.9.4. Recent Initiatives
14.10. Cloud Kitchen
14.10.1. Company Overview
14.10.2. Product Offerings
14.10.3. Financial Performance
14.10.4. Recent Initiatives
Chapter 15. Research Methodology
15.1. Primary Research
15.2. Secondary Research
15.3. Assumptions
Chapter 16. Appendix
16.1. About Us
16.2. Glossary of Terms