AI-Powered Checkout Market Size & Share | Report 2022, 2027

AI-Powered Checkout Market Forecast to 2027 - COVID-19 Impact and Global Analysis by Component (Solution, Services); and End-user (Supermarket and Hypermarket, Departmental Stores, and Others)

Publication Month : Sep 2020

  • Report Code : TIPRE00013568
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 139
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The AI-powered checkout market was valued US$ 169.94 million in 2021 and it is expected to grow at a CAGR of 37.2% during the forecast period of 2021 to 2027.

AI-powered checkout provides various benefits such as quickly and easily installed, reducing the queue line in the shops, reducing labor costs, improving the customer experience, and improving profit margins. They are thereby increasing acceptance of AI-powered checkout, which triggers the growth of the AI-powered checkout market. Further, growing digitalization in the retail stores, coupled with the increase in the number of retail stores, supermarkets, and hypermarkets across the globe, provides a lucrative opportunity for the AI-powered checkout market player.

The pandemic COVID-19 continues to enforce the temporary closure of retail stores in the global market, 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.

The market for AI-powered checkout has been segmented based on component, end-user, and geography. Based on component, the market is segmented into solution and services. The solution segment represented the largest share of the overall market throughout the forecast period, owing to the increasing number of technology advancements in machine vision, facial recognition, shelf sensors, barcodes, quick response (QR) codes, and RFID tags. However, services segment is expected to be the fastest-growing AI-powered checkout component. Further, the AI-powered checkout market is segmented into the supermarket and hypermarket, departmental stores, and others based on the end-user. In 2019, supermarket and hypermarket held a substantial share in the global AI-powered checkout market. While others segment is anticipated to grow at the highest CAGR from 2020 to 2027.

Lucrative Regions in AI-Powered Checkout Market

Lucrative Regions in AI-Powered Checkout Market
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AI-Powered Checkout Market Insights

Increase in Adoption of New Technologies in Retail Sector

The rising impact of e-commerce and continuous changes in consumer preferences are among the primary reasons that have led to stagnancy in the performance of the traditional retail sector. A few of the e-commerce market players are vigorously expanding their offline business operations to secure a share larger than the existing market share. Considering this, retailers operating worldwide are also continually looking forward to adopting more effective strategies to drive their revenue growth. Before the introduction of automation in the retail sector, retailers faced tremendous pressure to surpass customer expectations and enhance organizational efficiencies. The AI-powered checkouts provide the ability to overcome all the challenges faced by them, further helping them automate their workflows and multiple processes that ease their operations.

Component -Based Market Insights

Based on component, the AI-powered checkout market is segmented into solution and services. AI-powered checkout solution is provided to different retail outlets. This help the retailers to deliver greater shopping experience to the customers by eliminating need to standing in long-queues for making payments of the items purchased. Moreover, this software is provided with an array of services which assist the retailers to solve their grievances whenever they need.

AI-Powered Checkout Market, by Component – 2019 and 2027

AI-Powered Checkout Market, by Component – 2019 and 2027
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End User -Based Market Insights

Based on end user, the AI-powered checkout market is segmented into departmental store, supermarket and hypermarket, and others. The AI-powered checkout solution is gaining high momentum across different retail outlets to eliminate a need to stand in long-queues for making payments. With the rising number of retail outlets, the scope of integrating advanced and autonomous technologies in them is increasing.

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AI-Powered Checkout Market: Strategic Insights

ai-powered-checkout-market
Market Size Value inUS$ 169.94 Million in 2021
Market Size Value byUS$ 1,182.81 Million by 2027
Growth rateCAGR of 37.2% from 2020-2027
Forecast Period2020-2027
Base Year2020
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Players operating in the AI-powered checkout market focus on strategies, such as market initiatives, acquisitions, and product launches, to maintain their positions in the AI-powered checkout market. A few developments by key players of the AI-powered checkout market are:

In July 2020, AiFi announced plans to deploy 330 new and retrofitted autonomous stores by the end of 2021.

In January 2020, Focal Systems announced a partnership with Connors Group to provide impactful results to retailers by combining the technologies of both the companies.

AI-Powered Checkout Market – by Component

  • Solution
  • Services


AI-Powered Checkout Market – by End-User

  • Supermarket and Hypermarket
  • Departmental Stores
  • Others


AI-Powered Checkout Market – by Geography

  • North America

    • US
    • Canada
    • Mexico
  • Europe

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

    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Rest of APAC
  • MEA

    • Saudi Arabia
    • UAE
    • South Africa
    • Rest of MEA
  • SAM

    • Brazil
    • Rest of SAM

AI-Powered Checkout Market – Company Profiles

  • Accel Robotics Corporation
  • AiFi Inc.
  • FOCAL SYSTEMS INC.
  • Fujitsu Limited
  • Mashgin, Inc.
  • NCR Corporation
  • Standard Cognition
  • Toshiba Corporation
  • Trigo
  • Zippin
Report Coverage
Report Coverage

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

Segment Covered
Segment Covered

Component ; and End-user

Regional Scope
Regional Scope

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

Country Scope
Country Scope

Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Russian Federation, Saudi Arabia, South Africa, South Korea, United Arab Emirates, United Kingdom, United States

The List of Companies - AI-Powered Checkout Market

  1. Mashgin, Inc.
  2. AiFi Inc.
  3. FOCAL SYSTEMS INC.
  4. Accel Robotics Corporation
  5. Toshiba Corporation
  6. Fujitsu Limited
  7. NCR Corporation
  8. Standard Cognition
  9. Trigo
  10. Zippin

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 many reports and advised several clients 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 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.

  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/Sales 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.

  • 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.

  • 3.2 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.

  • 3.3 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.

  • 3.4 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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