Unmanned Convenience Store Market to Grow at a CAGR of 51.9% to reach US$ US$ 1,640.32 Million from 2019 to 2027

Unmanned Convenience Store Market to 2027 - COVID-19 Impact and Global Analysis and Forecasts by Offering (Solution and Services); Type (Fully automated and Semi-automated)

Publication Month : Apr 2020

  • Report Code : TIPRE00009807
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 116
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The unmanned convenience store market was valued US$ 67.48 million in 2019 and is expected to reach US$ 1,640.32 million by 2027 with a CAGR growth rate of 51.9% during the forecast period.

Growing competition from the online players is stimulating traditional retailers to reorganize their store networks in each and every aspect, from design and layout to size and scale. The usage of technology in the stores has never been more essential, facilitating retailers to provide customers a variety of checkout options which is suits their preferences. Today, the customers expect instant services and are increasingly opting for automated devices in order to reduce their manual operating chores. Owing to this, the self-service technologies are progressively changing the customer’s way of interacting with the firms for creating service results. In the current scenario, the self-checkout systems are increasingly installed by numerous retailers in their stores for facilitating their customers for checking out with the things they have purchased without the need of the cashiers. Thus, the retailers use this system to enhance their customers’ shopping experience through reducing the checkout time and thereby offering more personalized services at their store.

As the self-checkout terminals have a tendency to be more compact than the traditional tills, utilizing this technology further supports the retailer to replace one manned till with the multiple self-checkout systems in place, as there will be no wastage of employee’s time. Thus, it is the smarter approach to reduce lines without having to expand the retail space. Furthermore, owing to the self-checkout systems, the employees can use their time to restock the shelves, receive products, or advice customers, which in turn facilitates the companies/retailers to make use of their employees in more efficient manner to gain productivity. For instance, in 2018, McDonald’s decided to install self-serve kiosks in all its 14,000 U.S. locations, i.e. use of self-serve machines where people can order their meal using a screen. Moreover, the QSR giant tested these machines in some of the selected restaurants, and recorded that the sales were consistently higher at the place using machines than at the manned tills. NCR Corporation, Toshiba, CCL Technology, Fujitsu, and Diebold Nixdorf, Inc. are some of the leading companies who are highly focusing on developing advanced self-checkout technology in the market. During the fiscal year 2018, NCR Corporation generated US$ 346 million of its total revenue from the self-service kiosk solutions. Thus, owing to the benefits of self-checkout systems there is high demand for these systems and solutions around the world by the retailers, which in turn is contributing to the growth of unmanned convenience store market

Impact of COVID-19 Pandemic on Unmanned Convenience Store Market

The pandemic COVID-19 continues to enforce the temporary closure of retail stores in the countries of North America, signaling an unprecedented disruption of commerce. Retailers and brands are facing various short-term challenges regarding health and safety, supply chain, labor force, cash flow, consumer demand, and marketing. In North America, stores started closing at the beginning of March, and this trend is expected to continue as cities and states battle to contain the spread of the virus. For instance, out of 26 Amazon Go, the unmanned convenience store, 22 stores have been shut down as people have been asked to not leave their houses. Furthermore, COVID-19 pandemic is rapidly accelerating the tradition of digital commerce. As people are being told to follow social distancing, e-commerce orders for essentials and groceries have become a survival tool for the people in America. Many families are trying digital grocery services. This has significantly impacted retailers. Owing to high order picking and delivery costs, digital grocery orders are less profitable for the retailers than traditional in-store shopping trips.

Lucrative Regions for Unmanned Convenience Store Market

Lucrative Regions for Unmanned Convenience Store Market
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Market Insights

Development of fully automated convenience stores

Several retail innovations are demonstrating the future of retail sector both in offline and digital market. For instance, a touchscreen corridor, developed the Inspiration Corridor, utilizes image recognition and purchase histories for suggesting and locating items to the customers. Another instance, Foodstuffs developed SMARTCART, which uses computer vision technology for recognizing products as they are put inside the basket. The consumers can then automatically pay for the products utilizing the mobile application, in which the customers are required to link their payment details. Further, a new startup, known as DeepMagic, also utilizes digital innovations for enhancing the experience of the physical stores. With the Deep Learning Artificial Intelligence (AI), DeepMagic is facilitating retailers to make unattended physical stores which are fully automated. Deep Magic offers the Qick Kiosk, which is a pop-up store that is fully automated deployed with image recognition software that allows these unattended mini-stores to function securely. Further, Chinese startup F5 Future Stores that operates 24-hour unmanned convenience stores, which are entirely managed and control by robotic arms. Moreover, this company has closed its Series B round of financing and has collected approximately RMB 100 million (USD 14.5 million), with which it is focusing to open 50 more unmanned convenience stores that are fully automated. Thus, with the new technologies such as image recognition, robots, and artificial intelligence, the market players can further focus on investing in developing fully automated stores.

Offering Market Insights

An unmanned convenience store is concept in retail sector in which there are no cashiers and no service personnel in the store. The transactions are handled through a mobile application. Different than automated convenience store, the unmanned store concept relies on smartphone-related technologies and artificial intelligence to remove the traditional features of a store. There are two types of offering in unmanned convenience store such as solutions and service.

The companies in the unmanned convenience store market offer different solutions for the unmanned convenience store. These products help streamline the whole shopping as well as the selling process in a convenience store. These solutions include machine vision, facial recognition, shelf sensors, barcodes, quick response (QR) codes, and RFID tags. A subset of AI, Machine vision, enables computers to understand images. The Cashier-free retailers use machine vision to track shoppers through stores, though the technology can’t identify the shoppers without facial recognition. Customers still have to scan a code on their phones as they enter the store in order to link their physical presence with their identity. Facial recognition algorithms tie visual data of the customer to save specific customer's identities. With a fully functioning facial recognition device, in-store shopper visuals are matched by the camera to digital shopper profiles, determining the name and identity of each visitor. The unmanned (and traditional) retailers use weight sensors or light sensors on shelves to detect when products are added or removed. Mobile apps that enable customer to scan product barcodes themselves and pay support the concept of unmanned checkout. Various unmanned retail mobile apps make use of QR codes. In some models of the store, a mobile app provides a personalized QR code for the customer, which the customer can then scan to enter the store, pay, and leave. RFID (radio frequency ID) tags can be connected to products to track them through the store. Sensors at store exits are able to read RFID information to confirm which products a shopper is carrying out. These solutions are combined together to make a fully automated, unmanned convenience store.

Unmanned Convenience Store Market, by Offering– 2019 and 2027

Unmanned Convenience Store Market, by Offering– 2019 and 2027
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Type Market Insight

The paradigm shifts of businesses embracing digitization have reaped more significant benefits for the enterprises and resulted in more revenue generation opportunities. Companies across the world are looking forward to integrating their unmanned convenience store to automate the shopping experience for customers. The unmanned convenience stores are of two forms fully automated and semi-automated.

The fully automated convenience stores are stores that do not require any manual help. Every process is carried out by the robots. In fully automated convenience store, there aren’t any products inside the store for the customers to pick, instead of the process of picking up the products by themselves from the shelves, the customer orders the products through their smartphones or the in-store interactive kiosk.

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Unmanned Convenience Store Market: Strategic Insights

unmanned-convenience-store-market
Market Size Value inUS$ 67.48 Million in 2019
Market Size Value byUS$ 1,640.32 Million by 2027
Growth rateCAGR of 51.9% from 2020-2027
Forecast Period2020-2027
Base Year2020
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The players operating in the enterprise content management market focus on strategies such as mergers, acquisitions, and market initiatives to maintain their positions in the market. A few developments by key players are listed below:

  • In Feb 2020, Amazon.com, Inc. opened its first grocery store to pilot the use of the retailer’s cashier-less “Just Walk Out” technology that has previously been used in 25 Amazon Go convenience stores, which are located in major U.S. metro cities. This Amazon Go Grocery store is based in Seattle, that allows customers to shop for every day groceries products such as fresh produce, seafood, meat, bakery items, dairy, household essentials, ready-to-cook meal options, beer, wine & spirits, and others. The size of the store is 7,700 square feet in the front of the house and 10,400 square feet overall. Same as the Amazon Go convenience stores, customers use the Amazon Go app to scan in as they enter the store. Further, the sensors and cameras track the items that are removed from the shelves which are then added to the customer’s virtual cart. As the customer leaves the store, their cart is checked out automatically using their payment card on file.
  • In Jan 2019, Shenzhen Rakinda Technology Co., Ltd. launched Eco Mini Price Checker for Money Cashier Solution. It enables effective digital management through a built-in information management system. The Eco mini 10inch Price Checker is an Android POS machine that can be paired with a bar code machine. Its small size design is convenient for narrow places, such as small dining, shopping, etc., and its flexible and scalable structure makes it more suitable in the retail industry.

Global Unmanned Convenience Store Segments:

Unmanned Convenience Store Market – By Offering

    • Solution
    • Service

Unmanned Convenience Store Market – By Type

    • Fully automated
    • Semi-automated

Unmanned Convenience Store Market – By Geography

  • North America

    • U.S.
    • Canada
    • Mexico
  • Europe

    • France
    • Germany
    • Italy
    • Spain
    • UK
    • Rest of Europe
  • Asia Pacific (APAC)

    • Australia
    • China
    • India
    • Japan
    • Rest of APAC
  • Middle East & Africa (MEA)

    • Saudi Arabia
    • UAE
    • South Africa
    • Rest of MEA
  • South America (SAM)

    • Brazil
    • Rest of SAM

Companies

  • Amazon.com, Inc.
  • Shenzhen Rakinda Technology Co., Ltd.
  • F5 Future Store
  • BingoBox
  • CYB-ORG
Report Coverage
Report Coverage

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

Segment Covered
Segment Covered

Offering ; Type

Regional Scope
Regional Scope

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

Country Scope
Country Scope

Canada, China, France, Germany, Japan, South Korea, United Kingdom, United States

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.

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Several associations trade associates, technical forums, institutes, societies and organizations 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 the last 3 years are scrutinized and analyzed to understand the current market trends.

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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.

  • 3.1 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.

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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.

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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.

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