Press release
Global AI and Robotics in Quick service Resturants Market: Size, Forecast & Emerging Automation Trends 2025
AI and Robotics in Quick service Resturants Market
Major QSR chains like McDonald's and Taco Bell are leading in AI adoption. McDonald's is using AI in drive-throughs and management tools across 43,000 locations, partnering with Google Cloud in 2023 to improve efficiency, reduce employee stress, and grow its customer base from 175 million to 250 million by 2027, while also addressing labor shortages and rising wages.
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Miso Robotics launched the third generation of its AI-powered Flippy Fry Station robot, scaling rapidly with national customers and targeting 100,000 locations in the U.S., promising $4 billion annual revenue potential by automating critical kitchen tasks
Appetronix unveiled a fully autonomous fast-food kitchen platform deployed at Donatos Pizza, enabling zero human intervention in food preparation with robotics and AI, and expanding into Asian and Mexican cuisine verticals
Serve Robotics acquired Vebu, the company behind the "Autocado" avocado processing robot used at Chipotle, expanding its footprint into restaurant kitchen automation beyond delivery robotics, with plans to more than double restaurant partnerships by year-end
Key Players:
McDonald's Corporation, Yum! Brands (Taco Bell, KFC, Pizza Hut), Domino's Pizza, Inc., Starbucks Corporation, Wendy's Company, Burger King (Restaurant Brands International), Chipotle Mexican Grill, Inc., Panera Bread, White Castle, and CaliBurger.
Key Development:
The U.S. Bureau of Labor Statistics (BLS) forecasts a 4.0% overall employment growth, adding 6.7 million jobs between 2023 and 2033. However, the retail trade sector, including QSRs, is expected to see job losses during this period, emphasizing the influence of automation and AI and the need for workforce adaptation and upskilling.
Growth Forecast Projected:
The Global Ai and Robotics in Quick service Resturant Market is anticipated to rise at a considerable rate during the forecast period, between 2025 and 2032. In 2024, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.
Research Process:
Both primary and secondary data sources have been used in the global Ai and Robotics in Quick service Resturant Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.
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Key Segments:
By Function: (Order Management & Processing, Food Preparation & Cooking)
By Deployment Type: (On-premises, Cloud-based)
By Technology: (AI-Based Solutions, Robotic Solutions)
Regional Analysis for Market:
⇥ North America (U.S., Canada, Mexico)
⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
⇥ South America (Colombia, Brazil, Argentina, Rest of South America)
⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)
Benefits of the Report:
Chapter 1: Lays the foundation by defining the scope of the report, highlighting core market segments across regions, product types, and applications. It delivers a clear snapshot of current market size, growth potential, and how the industry is expected to evolve in both the near and long term.
Chapter 2: Spotlights the most impactful market insights, unveiling the transformative trends and forces shaping the future of the industry.
Chapter 3: Provides a deep dive into the competitive landscape of , covering revenue shares, strategic initiatives, and notable mergers & acquisitions that are reshaping the market.
Chapter 4: Presents detailed company profiles of leading players featuring financial performance, product portfolios, profit margins, and key milestones that set them apart in the industry.
Chapters 5 & 6: Break down revenue analysis at both regional and country levels, offering precise data on market size, growth drivers, and expansion opportunities across global markets.
Chapter 7: Analyzes the market by product type, spotlighting segment-specific opportunities and helping stakeholders identify untapped, high-growth areas.
Chapter 8 :Explores the market through application-based segmentation, assessing demand across industries and pinpointing downstream sectors with the strongest potential for growth.
Chapter 9: Maps the industry's supply chain in detail, tracing upstream and downstream activities to provide clarity on value creation across the ecosystem.
Chapter 10: Wraps up with a concise summary of the report's key insights distilling the most critical findings and strategic takeaways for decision-makers and stakeholders.
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FAQ's
Q1: What is the current size of the Ai and Robotics in Quick service Resturant Market?
A: The Ai and Robotics in Quick service Resturant Market was valued at US$ 5.39 billion in 2024 and is forecasted to reach US$ 12.91 billion by 2032
Q2: How rapidly will the Market expand?
A: The Ai and Robotics in Quick service Resturant market is projected to grow at a CAGR of 11.54% between 2025 and 2032.
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Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
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DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.
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