无人便利店市场基于(关键地区、市场参与者、规模和份额)- 到 2031 年的预测

  • Report Code : TIPRE00009807
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 116
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2019年无人便利店市场价值为6748万美元,预计到2027年将达到16.4032亿美元,预测期内复合年增长率为51.9%。

竞争日益激烈在线玩家正在刺激传统零售商在各个方面重组其商店网络,从设计和布局到规模和规模。商店中技术的使用从未如此重要,有助于零售商为顾客提供各种适合其喜好的结账选项。如今,客户期望即时服务,并越来越多地选择自动化设备以减少手动操作。因此,自助服务技术正在逐步改变客户与公司互动以创造服务结果的方式。在当前情况下,越来越多的零售商在其商店中安装自助结账系统,以方便顾客在不需要收银员的情况下结账所购买的商品。因此,零售商使用该系统来增强客户的满意度。通过减少结账时间来提供购物体验,从而在商店提供更加个性化的服务。

由于自助结账终端往往比传统收银台更加紧凑,利用这项技术进一步支持零售商用多个自助结账系统取代一个有人值守的收银台,这样就不会浪费员工的时间。因此,在不扩大零售空间的情况下减少排队是更明智的方法。此外,由于有了自助结账系统,员工可以利用自己的时间来补货、接收产品或为顾客提供建议,这反过来又有助于公司/零售商更有效地利用员工来提高生产力。例如,2018 年,麦当劳决定在其所有 14,000 个美国门店安装自助服务亭,即使用自助服务机,人们可以通过屏幕点餐。此外,这家快餐巨头还在一些选定的餐厅测试了这些机器,并记录到使用机器的地方的销售额始终高于有人值守的收银台。 NCR Corporation、东芝、CCL Technology、富士通和 Diebold Nixdorf, Inc. 是高度专注于开发市场上先进自助结账技术的领先公司。 2018 财年,NCR Corporation 的总收入中 3.46 亿美元来自自助服务终端解决方案。因此,由于自助结账系统的优势,世界各地的零售商对这些系统和解决方案的需求很高,这反过来又促进了无人便利店市场的增长。

影响无人便利店市场上的 COVID-19 大流行

大流行的 COVID-19 继续迫使北美国家的零售商店暂时关闭,这标志着前所未有的商业中断。零售商和品牌面临着健康和安全、供应链、劳动力、现金流、消费者需求和营销等方面的各种短期挑战。在北美,商店从三月初开始关闭,随着城市和州努力遏制病毒的传播,这种趋势预计将持续下去。例如,在 26 家无人便利店 Amazon Go 中,有 22 家已被关闭,因为人们被要求不要离开家。此外,COVID-19 大流行正在迅速加速传统数字商务的发展。随着人们被告知要遵守社交距离,必需品和杂货的电子商务订单已成为美国人民的生存工具。许多家庭正在尝试数字杂货服务。这对零售商产生了重大影响。由于订单拣选和配送成本较高,数字杂货订单对零售商来说的利润低于传统店内购物行程。

无人便利店市场利润丰厚的区域


市场洞察

全自动便利店的发展

多项零售创新正在展示线下和数字市场零售业的未来。例如,灵感走廊开发的触摸屏走廊利用图像识别和购买历史记录向顾客建议和定位商品。另一个例子,Foodstuffs 开发了 SMARTCART,它使用计算机视觉技术来识别放入篮子中的产品。然后,消费者可以使用移动应用程序自动支付产品费用,其中客户需要链接他们的付款详细信息。此外,一家名为 DeepMagic 的新初创公司也利用数字创新来增强实体店的体验。借助深度学习人工智能 (AI),DeepMagic 正在帮助零售商打造完全自动化的无人值守实体店。 Deep Magic 提供了 Qick Kiosk,这是一个快闪店,完全自动化部署了图像识别软件,使这些无人值守的迷你商店能够安全运行。此外,中国初创公司F5未来商店经营24小时无人便利店,完全由机械臂管理和控制。此外,该公司已完成B轮融资,已筹集约1亿元人民币(1450万美元),重点开设50家全自动化无人便利店。因此,借助图像识别、机器人、人工智能等新技术,市场参与者可以进一步重点投资开发全自动化商店。

提供市场洞察

无人店便利店是零售业的概念,店内没有收银员,也没有服务人员。交易通过移动应用程序处理。与自动化便利店不同,无人商店概念依靠智能手机相关技术和人工智能来消除商店的传统功能。无人便利店提供解决方案和服务两种类型。

无人便利店市场的公司为无人便利店提供了不同的解决方案。这些产品有助于简化便利店的整个购物和销售流程。这些解决方案包括机器视觉、面部识别、货架传感器、条形码、快速响应 (QR) 码和 RFID 标签。机器视觉是人工智能的一个子集,它使计算机能够理解图像。无收银员零售商使用机器视觉来跟踪商店中的购物者,尽管该技术无法在没有面部识别的情况下识别购物者。顾客在进入商店时仍然需要扫描手机上的代码,以便将他们的实际存在与他们的身份联系起来。面部识别算法将客户的视觉数据结合起来以保存特定客户的身份。借助功能齐全的面部识别设备,相机将店内购物者的视觉效果与数字购物者档案进行匹配,从而确定每个访客的姓名和身份。无人(和传统)零售商使用货架上的重量传感器或光传感器来检测产品何时添加或移除。移动应用程序使客户能够自行扫描产品条形码并付款,支持无人结账的概念。各种无人零售移动应用程序都使用二维码。在某些模式的商店中,移动应用程序为顾客提供个性化的二维码,顾客可以扫描该二维码进入商店、付款并离开。 RFID(射频 ID)标签可以连接到产品上,以便在商店中跟踪它们。商店出口处的传感器能够读取 RFID 信息,以确认购物者正在购买哪些产品。这些解决方案组合在一起,形成了一个完全自动化的无人便利店。

无人便利店市场,由 Offer– 2019年和2027年


类型市场洞察

企业拥抱数字化的范式转变为企业带来了更显着的效益,并带来了更多创收机会。世界各地的公司都期待着整合其无人便利店,为客户提供自动化的购物体验。无人便利店有全自动化和半自动化两种形式。

全自动化便利店是不需要任何人工帮助的商店。每道工序均由机器人完成。在全自动化便利店中,店内没有任何产品供顾客挑选,顾客不再是自己从货架上取货的过程,而是通过智能手机或店内互动来订购产品信息亭。

战略洞察

企业内容管理市场的参与者专注于合并、收购和市场计划等战略,以维持其市场地位。下面列出了主要参与者的一些进展:

  • 2020 年 2 月,亚马逊公司开设了第一家杂货店,试点使用零售商的无收银员“Just”走出去”该技术此前已在美国主要大都市的 25 家 Amazon Go 便利店使用。这家 Amazon Go 杂货店位于西雅图,允许顾客购买日常杂货产品,如新鲜农产品、海鲜、肉类、烘焙食品、乳制品、家庭必需品、即食食品、啤酒、葡萄酒和啤酒。精神,以及其他。商店正面面积为 7,700 平方英尺,总面积为 10,400 平方英尺。与Amazon Go便利店一样,顾客进入商店时使用Amazon Go应用程序进行扫描。此外,传感器和摄像头跟踪从货架上移除的物品,然后将其添加到顾客的虚拟购物车中。当顾客离开商店时,他们的购物车将使用其存档的支付卡自动结帐。
  • 2019 年 1 月,深圳瑞金达科技有限公司推出了用于货币收银解决方案的 Eco Mini 价格检查器。它通过内置的信息管理系统实现有效的数字化管理。 Eco mini 10英寸价格检查器是一款可与条码机配对的Android POS机。其小尺寸设计方便狭窄的场所,如小型餐饮、购物等,其灵活可扩展的结构使其更适合零售行业。

全球无人便利店细分市场:

无人便利店市场 –通过提供

    • 解决方案
    • 服务

无人便利店市场–按类型

    • 全自动
    • 半自动

  ;

无人便利店市场——按地理位置

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • < li>欧洲
    • 法国
    • 德国
    • 意大利
    • 西班牙
    • 英国
    • 其他欧洲
  • 亚太地区 (APAC)
    • 澳大利亚
    • 中国
    • 印度
    • 日本
    • 亚太地区其他地区
  • 中东和中东地区非洲 (MEA)
    • 沙特阿拉伯
    • 阿联酋
    • 南非
    • 中东和非洲其他地区
  • 南美洲 (SAM)
    • 巴西
    • SAM 的其他地区

公司

  • Amazon.com, Inc.
  • 深圳市瑞金达科技有限公司
  • F5未来商店
  • BingoBox
  • < li>CYB-ORG
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What are reasons behind unmanned convenience store marketgrowth?

The growth of the unmanned convenience store marketis primarily attributed to the rise in demand for self-checkout systems around the world. Moreover,the increase in adoption of new technologies in the retail industry is likely to boost the growth of the market.

What are market opportunities for unmanned convenience store?

Significant technological development initiatives by several leading companiesis expected to create significant opportunity of the unmanned convenience store market growth. Similarly, tech giants such as, Alibaba, Tencent, and e-commerce Company, JD.com have also increasingly involved themselves in development of new technologies for creating unmanned stores. For instance, JD has unveiled its plans to open hundreds of such stores that use QR codes, facial recognition, and RFID tags to successfully skip the checkout and curate ads for the users.

Which offering type is expected to dominate the market in the forecast period?

Solution type is dominating in the unmanned convenience store offering segment and is expected to dominate the market in the forecast period owing to the increasing demand for solutions such as machine vision, facial recognition, shelf sensors, barcodes, quick response (QR) codes, and RFID tags and a subset of AI, Machine vision, that enable computers to understand images.

The List of companies - Unmanned Convenience Store Market

  1. Amazon, Inc.
  2. BingoBox
  3. CYB-ORG
  4. F5 Future Store
  5. Shenzhen Rakinda Technology Co., Ltd.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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