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市场调查报告书
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1696216

全球快餐店人工智慧和机器人市场 - 2025 至 2032 年

Global AI and Robotics in Quick-Service Restaurants Market - 2025-2032
出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2024 年全球快餐店人工智慧和机器人市场规模达到 53.9 亿美元，预计到 2032 年将达到 129.1 亿美元，2025-2032 年预测期内的复合年增长率为 11.54%。

人工智慧 (AI) 和机器人技术正在透过提高营运效率和客户满意度日益改变快餐店 (QSR) 行业。麦当劳和塔可钟等大型连锁店处于这项技术转变的前沿。麦当劳正在其全球 43,000 家门市实施人工智慧，以加快服务速度并改善顾客和员工的体验。这包括支援人工智慧的免下车服务和管理工具，旨在确保订单准确性和预测设备问题。

麦当劳公司于 2023 年与 Google Cloud 合作，以促进更快的现场资料处理，旨在减轻员工压力，到 2027 年将忠实客户群从 1.75 亿增加到 2.5 亿。人工智慧和机器人技术在 QSR 中的整合不仅简化了运营，而且还解决了劳动力短缺和工资上涨的问题。

市场动态

驱动因素－提高营运效率和降低成本

人工智慧（AI）和机器人技术在快餐店（QSR）中的整合显着提高了营运效率并降低了成本。机器人可以比人类更快地执行任务，从而减少等待时间并提高客户满意度。例如，研究表明，餐厅中的机器人协助可以减少服务时间，使人类员工专注于更复杂的任务，从而提高整体效率。

此外，机器人可以透过程式设计来收集和分析即时资料，在几分钟内完成人类需要更长时间才能完成的任务。此功能增强了库存管理，确保了供应的持续供应并减少浪费。

约束－员工的工作保障问题

儘管在营运方面有优势，但在 QSR 中采用人工智慧和机器人却引发了对员工工作保障的担忧。服务员工对采用和使用服务机器人的意识显着影响他们对机器人导致失业的认知。

这种看法可能会导致对技术采用的抵制，进而影响员工的士气和生产力。此外，由于机器人的实施而导致的服务体验非人性化可能会影响客户满意度，这对 QSR 中人工智慧和机器人的广泛应用构成额外的挑战。

目录

第 1 章：方法与范围

第 2 章：定义与概述

第 3 章：执行摘要

第 4 章：动态

  • 影响因素
    • 驱动程式
      • 提高营运效率并降低成本
    • 限制
      • 员工的工作保障问题
    • 机会
    • 影响分析

第五章：产业分析

  • 波特五力分析
  • 供应链分析
  • 价值链分析
  • 定价分析
  • 监理与合规性分析
  • 人工智慧与自动化影响分析
  • 研发与创新分析
  • 永续性与绿色技术分析
  • 下一代技术分析
  • 技术路线图
  • DMI 意见

第 6 章：按功能

  • 订单管理和处理
  • 食物准备与烹饪
  • 库存和供应链管理
  • 客户参与和个人化服务
  • 其他的

第 7 章：按部署类型

  • 本地
  • 基于云端

第 8 章：按技术

  • 基于人工智慧的解决方案
  • 机器人解决方案

第九章：按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 俄罗斯
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第 10 章：竞争格局

  • 竞争格局
  • 市场定位/份额分析
  • 併购分析

第 11 章：公司简介

  • McDonald's Corporation
    • 公司概况
    • 产品组合和描述
    • 财务概览
    • 关键进展
  • 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
  • CaliBurger

第 12 章：附录

简介目录
Product Code: ICT9353

Global AI and Robotics in Quick-Service Restaurants Market reached US$ 5.39 billion in 2024 and is expected to reach US$ 12.91 billion by 2032, growing with a CAGR of 11.54% during the forecast period 2025-2032.

Artificial intelligence (AI) and robotics are increasingly transforming the quick-service restaurant (QSR) industry by enhancing operational efficiency and customer satisfaction. Major chains like McDonald's and Taco Bell are at the forefront of this technological shift. McDonald's is implementing AI across its 43,000 global locations to expedite service and improve experiences for both customers and employees. This includes AI-enabled drive-throughs and management tools designed to ensure order accuracy and predict equipment issues.

McD company partnered with Google Cloud in 2023 to facilitate faster, on-site data processing, aiming to reduce employee stress and increase its loyal customer base from 175 million to 250 million by 2027. The integration of AI and robotics in QSRs not only streamlines operations but also addresses labor shortages and rising wage issues.

Market Dynamics

Driver - Enhanced Operational Efficiency and Cost Reduction

The integration of artificial intelligence (AI) and robotics in quick-service restaurants (QSRs) significantly enhances operational efficiency and reduces costs. Robots can perform tasks faster than humans, leading to reduced waiting times and improved customer satisfaction. For instance, studies have shown that robotic assistance in restaurants can decrease service time, allowing human staff to focus on more complex tasks, thereby improving overall efficiency.

Additionally, robots can be programmed to collect and analyze real-time data, performing tasks in minutes that would take humans much longer to complete. This capability enhances inventory management, ensuring consistently stocked supplies and reducing waste.

Restraint - Employee Job Security Concerns

Despite the operational benefits, the adoption of AI and robotics in QSRs raises concerns about employee job security. Service employees' awareness of adopting and using service robots significantly impacts their perception of robot-induced unemployment.

This perception can lead to resistance to technological adoption, affecting employee morale and productivity. Furthermore, the potential dehumanization of service experiences due to robot implementation may impact customer satisfaction, posing additional challenges to the widespread adoption of AI and robotics in QSRs.

Segment Analysis

The global AI and robotics in quick-service restaurants market is segmented based on function, deployment type, technology and region.

Food Preparation & Cooking in the global market is expected to drive the market.

The Food Preparation & Cooking segment is expected to be a major driver of AI and robotics adoption in quick-service restaurants (QSRs) worldwide. Automated cooking systems and robotic food preparation technologies are being increasingly deployed to enhance efficiency, improve food consistency, and reduce operational costs. Studies indicate that AI-powered robotic chefs can reduce food preparation time by up to 50%, leading to faster service and improved customer experience.

Additionally, automation helps maintain food safety standards by minimizing human contact, which has become a priority post-pandemic. The U.S. Department of Agriculture (USDA) has emphasized the role of automation in food processing and handling, highlighting its potential to reduce waste and optimize ingredient usage. Governments worldwide are also investing in AI-driven food production innovations to enhance food security and address labor shortages in the restaurant industry. Japan, for example, has implemented AI-driven robotic kitchen solutions to counter labor shortages in the foodservice sector

Geographical Penetration

Rapid Technological Advancements in North America.

The demand for AI and robotics in the quick-service restaurants (QSR) market in North America is rapidly growing due to labor shortages, rising operational costs, and increasing consumer expectations for faster service. The U.S. Bureau of Labor Statistics (BLS) projects a continued decline in foodservice labor availability, with over 1 million job vacancies in hospitality and food services as of early 2024.

AI-driven automation helps fill this gap by improving efficiency, reducing reliance on human labor, and optimizing restaurant operations. The National Institute of Standards and Technology (NIST) highlights AI's role in predictive maintenance for kitchen equipment, reducing downtime and enhancing productivity in QSRs. Robotics is also being integrated into food preparation, order processing, and customer service to meet growing demand for speed and consistency.

Sustainability Analysis

Implementing AI and robotics in QSRs contributes to sustainability by optimizing resource use, reducing waste, and enhancing energy efficiency. For instance, McDonald's has embarked on a global initiative to upgrade its 43,000 restaurants with AI-driven technologies aimed at improving operational efficiency and customer experience. These upgrades include internet-connected kitchen equipment and AI-enabled drive-through systems designed to streamline operations and minimize resource wastage.

Furthermore, AI's role in enhancing food safety cannot be overlooked. The U.S. Food and Drug Administration (FDA) has recognized the potential of AI in revolutionizing food safety protocols. AI applications can quickly analyze data to detect potential foodborne pathogens, ensuring safer food handling practices and reducing the risk of contamination.

Technology Analysis

The technological landscape of QSRs is rapidly evolving with the adoption of AI and robotics. McDonald's partnership with Google Cloud in 2023 exemplifies this shift, enabling edge computing capabilities across its restaurants. This technology allows for faster and more efficient data processing on-site, which is crucial for real-time applications like AI-powered drive-throughs and kitchen operations.

Robotics is making significant inroads into QSR kitchens. Companies like Miso Robotics have developed AI-driven robotic platforms, such as "Flippy," which can perform frying tasks in commercial kitchens. These robots are designed with extensive AI skill sets and machine learning capabilities, aiming to improve consistency and efficiency in food preparation.

The U.S. Bureau of Labor Statistics (BLS) projects that total employment will grow by 4.0 percent, adding 6.7 million jobs from 2023 to 2033. However, the retail trade sector, which includes QSRs, is the only sector projected to lose jobs over this period. This projection underscores the potential impact of automation and AI on employment within the industry, highlighting the need for workforce adaptation and upskilling.

Competitive Landscape

The major global players in the market include 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.

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Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Function
  • 3.2. Snippet by Deployment Type
  • 3.3. Snippet by Technology
  • 3.4. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Enhanced Operational Efficiency and Cost Reduction
    • 4.1.2. Restraints
      • 4.1.2.1. Employee Job Security Concerns
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Value Chain Analysis
  • 5.4. Pricing Analysis
  • 5.5. Regulatory and Compliance Analysis
  • 5.6. AI & Automation Impact Analysis
  • 5.7. R&D and Innovation Analysis
  • 5.8. Sustainability & Green Technology Analysis
  • 5.9. Next Generation Technology Analysis
  • 5.10. Technology Roadmap
  • 5.11. DMI Opinion

6. By Function

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 6.1.2. Market Attractiveness Index, By Function
  • 6.2. Order Management & Processing*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Food Preparation & Cooking
  • 6.4. Inventory & Supply Chain Management
  • 6.5. Customer Engagement & Personalization Service
  • 6.6. Others

7. By Deployment Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 7.1.2. Market Attractiveness Index, By Deployment Type
  • 7.2. On-premises*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Cloud-based

8. By Technology

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 8.1.2. Market Attractiveness Index, By Technology
  • 8.2. AI-Based Solutions*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Robotic Solutions

9. By Region

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 9.1.2. Market Attractiveness Index, By Region
  • 9.2. North America
    • 9.2.1. Introduction
    • 9.2.2. Key Region-Specific Dynamics
    • 9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 9.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 9.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.2.6.1. U.S.
      • 9.2.6.2. Canada
      • 9.2.6.3. Mexico
  • 9.3. Europe
    • 9.3.1. Introduction
    • 9.3.2. Key Region-Specific Dynamics
    • 9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 9.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.3.6.1. Germany
      • 9.3.6.2. UK
      • 9.3.6.3. France
      • 9.3.6.4. Italy
      • 9.3.6.5. Russia
      • 9.3.6.6. Rest of Europe
  • 9.4. South America
    • 9.4.1. Introduction
    • 9.4.2. Key Region-Specific Dynamics
    • 9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 9.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.4.6.1. Brazil
      • 9.4.6.2. Argentina
      • 9.4.6.3. Rest of South America
  • 9.5. Asia-Pacific
    • 9.5.1. Introduction
    • 9.5.2. Key Region-Specific Dynamics
    • 9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 9.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
    • 9.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 9.5.6.1. China
      • 9.5.6.2. India
      • 9.5.6.3. Japan
      • 9.5.6.4. Australia
      • 9.5.6.5. Rest of Asia-Pacific
  • 9.6. Middle East and Africa
    • 9.6.1. Introduction
    • 9.6.2. Key Region-Specific Dynamics
    • 9.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Function
    • 9.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Type
    • 9.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology

10. Competitive Landscape

  • 10.1. Competitive Scenario
  • 10.2. Market Positioning/Share Analysis
  • 10.3. Mergers and Acquisitions Analysis

11. Company Profiles

  • 11.1. McDonald's Corporation*
    • 11.1.1. Company Overview
    • 11.1.2. Product Portfolio and Description
    • 11.1.3. Financial Overview
    • 11.1.4. Key Developments
  • 11.2. Yum! Brands (Taco Bell, KFC, Pizza Hut)
  • 11.3. Domino's Pizza, Inc.
  • 11.4. Starbucks Corporation
  • 11.5. Wendy's Company
  • 11.6. Burger King (Restaurant Brands International)
  • 11.7. Chipotle Mexican Grill, Inc.
  • 11.8. Panera Bread
  • 11.9. White Castle
  • 11.10. CaliBurger

LIST NOT EXHAUSTIVE

12. Appendix

  • 12.1. About Us and Services
  • 12.2. Contact Us