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2022-2029 年全球快餐店 (QSR) 生态系统市场
市场调查报告书
商品编码
1166515

2022-2029 年全球快餐店 (QSR) 生态系统市场

Global Quick Service Restaurant (QSR) Ecosystem Market - 2022-2029
出版日期: | 出版商: DataM Intelligence | 英文 170 Pages | 商品交期: 约2个工作天内

价格

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简介目录

市场动态

越来越多的公司在快餐店 (QSR) 生态系统中采用以数据为中心的商业模式

QSR生态中，以数据为中心的商业模式被广泛采用，市场规模不断扩大。 在以数据为中心的组织中，创建和开发人员、技术和流程的具体目标是生成更多信息并使用这些信息来提高组织开展业务的能力。 鑑于这种范式转变，数字化转型路线图需要包括能够集成、处理、分析和可视化数据的数据生成和丰富的数据摄取平台。 通过使用高级分析、机器学习和人工智能做出决策，每个以数据为中心的组织始终如一地最大化聚合数据的价值，并为企业带来显着的增量收入。

在这种商业模式中，购买和丢弃的物品都在销售点进行记录。 以数据为中心的商业模式也提供了显着的竞争优势，我们希望大多数餐厅能够迅速采用该系统。 例如，麦当劳一直致力于通过大数据分析来改善得来速体验。

一些科技公司还引入了新的以数据为中心的食品服务平台，以帮助食品服务公司赚取更多收益。 例如，为企业餐厅开发全渠道 POS 的快速扩张的科技公司 Qu，于 2019 年 10 月 9 日宣布了一个新的以数据为中心的平台。 为了解决餐馆老闆面临的零散的订购、生产和品牌管理中断问题，该公司率先提出了一个名为“统一的食品体验”的概念。

这些功能为运营商提供了他们迫切需要的更高的灵活性和定制化，以通过数据驱动的情报和报告有效地开展业务。

但是，快餐店 (QSR) 生态系统市场的增长受到了快餐店缺乏最佳实践的负面影响，导致食材减少。 另一个阻碍市场扩张的因素是新兴经济体的小企业缺乏人力和适当的技术，导致交付给消费者的食品质量低劣。

内容

第一章调查方法及范围

  • 调查方法
  • 市场范围

第二章主要趋势与发展

第 3 章执行摘要

  • 按硬件划分的市场细分
  • 按软件划分的市场细分
  • 最终用户的市场细分
  • 按地区划分的市场细分

第四章市场动态

  • 市场影响因素
    • 司机
    • 约束因素
    • 商机
  • 影响分析

第五章行业分析

  • 波特的五力分析
  • 供应链分析
  • 专利分析
  • 监管分析

第 6 章 COVID-19 分析

  • COVID-19 市场分析
    • COVID-19 之前的市场情景
    • COVID-19 的当前市场情景
    • COVID-19 后或未来情景
  • COVID-19 期间的价格动态
  • 供需范围
  • 大流行期间与市场相关的政府举措
  • 製造商的战略举措

第七章硬件

  • 标牌系统
  • 自助终端
  • 得来速终端
  • 销售点信息管理系统
  • 手持设备
  • 数字菜单卡

第 8 章软件

  • 计费解决方案
  • 管理解决方案
  • 分析软件解决方案

第 9 章最终用户

  • 连锁店
  • 个人经营的餐厅

第10章按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他南美洲
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 意大利
    • 其他欧洲地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳大利亚
    • 其他亚太地区
  • 中东和非洲

第11章竞争格局

  • 竞争场景
  • 竞争战略分析
  • 市场情况/份额分析
  • 併购分析

第12章公司简介

  • Cisco System Inc.
    • 公司简介
    • 产品组合和说明
    • 主要亮点
    • 财务摘要
  • Hewlett-Packard Company
  • Keywest Technology Inc.
  • Omnivex Corporation
  • Panasonic Corporation
  • Samsung Electronics Co. Ltd.
  • LG Display Co. Ltd.
  • NEC Display Solution Ltd
  • Keywest Technology, Inc.
  • NEC Display Solutions Ltd.

第13章 DataM

简介目录
Product Code: DMFB5990

Market Overview

A quick-service restaurant prioritizes serving food to patrons as quickly and effectively as possible. This service typically indicates no table service and that meals are quickly prepared upon request. Most quick-service restaurants use a chain business model, and "quick-serve" is frequently used interchangeably with "fast food." Fast and quick-service restaurants have evolved business models to consider their patrons' shifting needs. In addition to offering sit-and-dine, most quick-service restaurants also provide a wide range of other services ideal for the modern lifestyle, such as drive-thru, takeout, and home delivery. The three main factors driving the market's growth are the rising demand for self-service options, the growing need to reinvent the customer experience, and rising consumer awareness.

The global Quick Service Restaurant (QSR) Ecosystem market was valued at USD YY million in 2021. It is forecasted to reach USD YY million by 2029, growing at a CAGR of YY% during the forecast period (2022-2029).

Market Dynamics: More businesses in the QSR ecosystem are incorporating the data-centric business model

The market is growing as the data-centric business model is widely adopted in the QSR ecosystem. In a data-centric organisation, people, technologies, and processes are created and developed with the specific goal of generating more information and collaborating with it to improve an organization's ability to conduct business. A digital transformation roadmap must now include data generation and rich data ingestion platforms that can integrate, process, analyse, and visualise the data in light of this paradigm shift. Using advanced analytics, machine learning, and artificial intelligence to make decisions, all data-centric organisations consistently maximise the value of aggregated data, resulting in significant revenue growth for businesses.

A business model like this keeps track of items bought and thrown away at the point of sale. The data-centric business model also provides a significant competitive advantage, so most restaurants will likely adopt this system soon. For instance, McDonald's constantly works to improve the drive-thru experience through big data analysis.

Some technology companies are also introducing new data-centric restaurant platforms to increase revenue for food service providers. For instance, Qu, a rapidly expanding tech company that develops omnichannel POS for enterprise restaurants, launched its new data-centric platform on October 9, 2019. To address the fragmented ordering, production, and brand management chaos faced by restaurateurs, the company is leading the way with a concept dubbed "unified food experiences."

These features give operators the increased flexibility and customization they so desperately need to run their businesses effectively through data-driven intelligence and reporting.

However, the quick-service restaurant ecosystem market growth has been adversely affected by the lack of best practices by quick-service restaurants that result in the reduction of food. Another factor impeding market expansion is the lack of manpower and appropriate technology among small players in developing economies, resulting in food delivered to consumers in poor conditions.

Market Segmentation: Signage Systems Hardware segment for the highest share in the global Quick Service Restaurant (QSR) Ecosystem market.

The signage system holds the largest market share in the QSR ecosystem market. One of the main factors influencing the growth of signage systems is the rising demand for cutting-edge products that call for digitized information management and guidance that can be accessed from remote locations.

Digital signage hardware consists of screens that will display the message, high-quality mounting options for sturdiness and safety, and media players to link the entire network of displays.

The adoption of signage systems within the quick-service restaurant market ecosystem is boosted by growing technological development and expanding infrastructure in developing economies. Additionally, many cafes and restaurants favor signage systems to expand their customer base.

Geographical Penetration: Asia Pacific is the dominating region during the forecast period

In 2021, Asia Pacific had the highest revenue share of almost XX percent. The ecosystem of quick-service restaurants is likely to grow faster throughout Asia-Pacific. Due to the expansion opportunities in developing nations like India, China, and Japan, the region has a significant market for quick-service restaurants.

In addition, YouGov's 2022 rankings for China's dining and quick-service restaurants place Haidilao first. With an Index score of 26.3, the Chinese hotpot chain outperforms 27 other well-liked quick-service restaurants in the market. One thousand five hundred ninety-seven restaurants operated by the company were located in 11 nations, including China, Singapore, the US, South Korea, Japan, Vietnam, Malaysia, and the US.

Moreover, the region's expanding trend of dining outside the home and the rising demand for organized food services are significant drivers of the quick-service restaurant ecosystem market growth in the Asia-Pacific. The market for the QSR ecosystem is driven by the quick-service restaurant industry's rising hourly wages, which increases the need for QSR automation. In addition, the demand for technology in quick-service restaurants is rising due to the growing demand for cutting-edge technology in emerging economies like China and India.

Competitive Landscape:

The global Quick Service Restaurant (QSR) Ecosystem market is consolidated with top players accounting for a major share. The key players operating in the global Quick Service Restaurant (QSR) Ecosystem market are Cisco System Inc., Hewlett-Packard Company, Keywest Technology Inc., Omnivex Corporation, Panasonic Corporation, Samsung Electronics Co. Ltd., LG Display Co. Ltd., NEC Display solution Ltd, Keywest Technology, Inc., NEC Display Solutions Ltd., among others. New technological development is one of the most prominent strategies followed by the market leaders in the industry. For instance, on September 22, 2022, Hustlers Hospitality introduced its first quick-service restaurant, "KO Fried Chicken," and plans to open two more in the upcoming 12 months. On October 4, 2022, Wow! The first Indian quick-service restaurant chain to do so is Momo. The Brands are on a brand-new metaverse platform called FESTEMVERSE, which curates Indian festivals year-round.

COVID-19 Impact: Negative impact on the global Quick Service Restaurant (QSR) Ecosystem market

Depending on the cultural norms, mitigation efforts, and health infrastructure of a given nation, COVID-19 has varying effects. The economies of low- and middle-income countries' economies suffer from lost income, business closures, government-imposed restrictions on the free movement of people and goods, the deglobalization of markets, and the breakdown of those markets as a result of supply and demand shocks.

The COVID-19 outbreak changed consumer behavior, causing them to spend less on all restaurant food, including takeout and delivery, QSRs, and other types of restaurants. As a result, the COVID-19 outbreak will have a negligible negative effect on the quick-service restaurant market. However, the quick-service restaurant ecosystem market will recover in the COVID-19 pandemic with a growing food delivery sector. Food service businesses have adopted takeaway services to deliver their customers' orders securely, hygienically, and personalized manner.

The global Quick Service Restaurant (QSR) Ecosystem market report would provide access to approximately 61 market data tables, 54 figures and 170 pages.

Table of Contents

Scope and Methodology

  • 1.1. Research Methodology
  • 1.2. Scope of the Market

2. Key Trends and Developments

3. Executive Summary

  • 3.1. Market Snippet by Hardware
  • 3.2. Market Snippet by Software
  • 3.3. Market Snippet by End User
  • 3.4. Market Snippet by Region

4. Market Dynamics

  • 4.1. Market impacting factors
    • 4.1.1. Drivers
    • 4.1.2. Restraints
    • 4.1.3. Opportunities
  • 4.2. Impact analysis

5. Industry Analysis

  • 5.1. Porter's five forces analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Patent Analysis
  • 5.4. Regulatory Analysis

6. COVID-19 Analysis

  • 6.1. Analysis of Covid-19 on the Market
    • 6.1.1. Before COVID-19 Market Scenario
    • 6.1.2. Present COVID-19 Market Scenario
    • 6.1.3. After COVID-19 or Future Scenario
  • 6.2. Pricing Dynamics Amid Covid-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During the Pandemic
  • 6.5. Manufacturers Strategic Initiatives

7. By Hardware

  • 7.1. Introduction
    • 7.1.1. Market size analysis, and y-o-y growth analysis (%), By Hardware Segment
    • 7.1.2. Market attractiveness index, By Hardware Segment
  • 7.2. Signage Systems*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis, US$ Million, 2020-2029 And Y-O-Y Growth Analysis (%), 2021-2029
  • 7.3. Kiosks
  • 7.4. Drive-Through Terminals
  • 7.5. Point Of Sales
  • 7.6. Handheld Devices
  • 7.7. Digital Menu Cards

8. By Software

  • 8.1. Introduction
    • 8.1.1. Market size analysis, and y-o-y growth analysis (%), By Software Segment
    • 8.1.2. Market attractiveness index, By Software Segment
  • 8.2. Billing solutions*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis, US$ Million, 2020-2029 And Y-O-Y Growth Analysis (%), 2021-2029
  • 8.3. Management Solutions
  • 8.4. Analytics software solutions

9. By End User

  • 9.1. Introduction
    • 9.1.1. Market size analysis, and y-o-y growth analysis (%), By End User Segment
    • 9.1.2. Market attractiveness index, By End User Segment
  • 9.2. Chain Restaurant *
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis, US$ Million, 2020-2029 And Y-O-Y Growth Analysis (%), 2021-2029
  • 9.3. Individual Restaurant

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key region-specific dynamics
    • 10.2.3. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Hardware
    • 10.2.4. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Software
    • 10.2.5. Market Size Analysis, And Y-O-Y Growth Analysis (%), By End User
    • 10.2.6. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Country
      • 10.2.6.1. U.S.
      • 10.2.6.2. Canada
      • 10.2.6.3. Mexico
  • 10.3. South America
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Hardware
    • 10.3.4. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Software
    • 10.3.5. Market Size Analysis, And Y-O-Y Growth Analysis (%), By End User
    • 10.3.6. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Country
      • 10.3.6.1. Brazil
      • 10.3.6.2. Argentina
      • 10.3.6.3. Rest of South America
  • 10.4. Europe
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Hardware
    • 10.4.4. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Software
    • 10.4.5. Market Size Analysis, And Y-O-Y Growth Analysis (%), By End User
    • 10.4.6. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Country
      • 10.4.6.1. Germany
      • 10.4.6.2. U.K.
      • 10.4.6.3. France
      • 10.4.6.4. Spain
      • 10.4.6.5. Italy
      • 10.4.6.6. Rest of Europe
  • 10.5. Asia Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Hardware
    • 10.5.4. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Software
    • 10.5.5. Market Size Analysis, And Y-O-Y Growth Analysis (%), By End User
    • 10.5.6. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Country
      • 10.5.6.1. China
      • 10.5.6.2. India
      • 10.5.6.3. Japan
      • 10.5.6.4. Australia
      • 10.5.6.5. Rest of Asia Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Hardware
    • 10.6.4. Market Size Analysis, And Y-O-Y Growth Analysis (%), By Software
    • 10.6.5. Market Size Analysis, And Y-O-Y Growth Analysis (%), By End User

11. Competitive Landscape

  • 11.1. Competitive scenario
  • 11.2. Competitor strategy analysis
  • 11.3. Market positioning/share analysis
  • 11.4. Mergers and acquisitions analysis

12. Company Profiles

  • 12.1. Cisco System Inc.*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Key Highlights
    • 12.1.4. Financial Overview
  • 12.2. Hewlett-Packard Company
  • 12.3. Keywest Technology Inc.
  • 12.4. Omnivex Corporation
  • 12.5. Panasonic Corporation
  • 12.6. Samsung Electronics Co. Ltd.
  • 12.7. LG Display Co. Ltd.
  • 12.8. NEC Display Solution Ltd
  • 12.9. Keywest Technology, Inc.
  • 12.10. NEC Display Solutions Ltd.

List not Exhaustive*

13. DataM

  • 13.1. Appendix
  • 13.2. About us and services
  • 13.3. Contact us