2022-2029 年全球快餐店 (QSR) 生態系統市場
市場調查報告書
商品編碼
1166515

2022-2029 年全球快餐店 (QSR) 生態系統市場

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: 約2個工作天內

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簡介目錄

市場動態

越來越多的公司在快餐店 (QSR) 生態系統中採用以數據為中心的商業模式

QSR生態中,以數據為中心的商業模式被廣泛採用,市場規模不斷擴大。 在以數據為中心的組織中,創建和開發人員、技術和流程的具體目標是生成更多信息並使用這些信息來提高組織開展業務的能力。 鑑於這種範式轉變,數字化轉型路線圖需要包括能夠集成、處理、分析和可視化數據的數據生成和豐富的數據攝取平台。 通過使用高級分析、機器學習和人工智能做出決策,每個以數據為中心的組織始終如一地最大化聚合數據的價值,並為企業帶來顯著的增量收入。

在這種商業模式中,購買和丟棄的物品都在銷售點進行記錄。 以數據為中心的商業模式也提供了顯著的競爭優勢,我們希望大多數餐廳能夠迅速採用該系統。 例如,麥當勞一直致力於通過大數據分析來改善得來速體驗。

一些科技公司還引入了新的以數據為中心的食品服務平台,以幫助食品服務公司賺取更多收益。 例如,為企業餐廳開發全渠道 POS 的快速擴張的科技公司 Qu,於 2019 年 10 月 9 日宣布了一個新的以數據為中心的平台。 為了解決餐館老闆面臨的零散的訂購、生產和品牌管理中斷問題,該公司率先提出了一個名為“統一的食品體驗”的概念。

這些功能為運營商提供了他們迫切需要的更高的靈活性和定制化,以通過數據驅動的情報和報告有效地開展業務。

但是,快餐店 (QSR) 生態系統市場的增長受到了快餐店缺乏最佳實踐的負面影響,導致食材減少。 另一個阻礙市場擴張的因素是新興經濟體的小企業缺乏人力和適當的技術,導致交付給消費者的食品質量低劣。

內容

第一章調查方法及範圍

  • 調查方法
  • 市場範圍

第二章主要趨勢與發展

第 3 章執行摘要

  • 按硬件劃分的市場細分
  • 按軟件劃分的市場細分
  • 最終用戶的市場細分
  • 按地區劃分的市場細分

第四章市場動態

  • 市場影響因素
    • 司機
    • 約束因素
    • 商機
  • 影響分析

第五章行業分析

  • 波特的五力分析
  • 供應鏈分析
  • 專利分析
  • 監管分析

第 6 章 COVID-19 分析

  • COVID-19 市場分析
    • COVID-19 之前的市場情景
    • COVID-19 的當前市場情景
    • COVID-19 後或未來情景
  • COVID-19 期間的價格動態
  • 供需範圍
  • 大流行期間與市場相關的政府舉措
  • 製造商的戰略舉措

第七章硬件

  • 標牌系統
  • 自助終端
  • 得來速終端
  • 銷售點信息管理系統
  • 手持設備
  • 數字菜單卡

第 8 章軟件

  • 計費解決方案
  • 管理解決方案
  • 分析軟件解決方案

第 9 章最終用戶

  • 連鎖店
  • 個人經營的餐廳

第10章按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他南美洲
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 意大利
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 其他亞太地區
  • 中東和非洲

第11章競爭格局

  • 競爭場景
  • 競爭戰略分析
  • 市場情況/份額分析
  • 併購分析

第12章公司簡介

  • Cisco System Inc.
    • 公司簡介
    • 產品組合和說明
    • 主要亮點
    • 財務摘要
  • 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

簡介目錄
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