Retail self-scanning solutions refer to technology-driven systems that enable customers to scan and manage their purchases independently using handheld scanners, mobile apps, or self-checkout kiosks. These solutions are designed to enhance the shopping experience by providing greater convenience, reducing checkout waiting times, and improving overall efficiency. Retailers implement self-scanning solutions within supermarkets, hypermarkets, convenience stores, department stores and specialty retailers. These solutions are used whenever a shopper needs to purchase items and prefer a faster, self-directed checkout process rather than waiting in line for cashier service.
The retail self-scanning solutions market consists of sales, by entities (organizations, sole traders, or partnerships), of retail self-scanning solutions enable customers to scan and pay for items independently using dedicated self-checkout kiosks, handheld devices, or mobile apps. These technologies streamline the checkout process, reduce waiting times and enhance customer convenience. They also help retailers optimize labor costs by minimizing the need for traditional cashier roles.
The global retail self-scanning solutions market was valued at $2,791.24 million in 2019 which grew till 2024 at a compound annual growth rate (CAGR) of more than 13.00%.
Growth In Preference For Self-Service And Autonomous Retail Experiences
Growth in preference for self-service and autonomous retail experiences helped the growth of the retail self-scanning solutions market. Modern shoppers, especially younger demographics, prefer quick, independent and hassle-free checkout processes, reducing reliance on store staff. Self-scanning solutions align with this trend by enabling customers to scan items as they shop and complete their purchases seamlessly, minimizing waiting times. For example, in June 2023, according to a survey conducted by Xenonstack, an India-based data and artificial intelligence foundry, 75% of retail customers prefer autonomous shopping experiences. Modern retailers are adapting preference by modernizing to combine the physical store experience with the simplicity of online checkout processes. Autonomous stores aim to eliminate pain points related to customer interaction, the overall shopping journey, and relationship-level expectations. Retailers are using in-store artificial intelligence (AI)-driven technologies and digital tools to create a seamless, intelligent, and intuitive shopping experience. Therefore, growth in preference for self-service and autonomous retail experiences drove the growth of the retail self-scanning solutions market.
- 1.1 AI And Machine Learning Drive Retail Efficiency With Self-Scanning Technology
- Major companies operating in the retail self-scanning solutions market are developing artificial intelligence (AI) and machine learning platforms for retail efficiency with self-scanning technology. With the integration of AI and machine learning, self-scanning systems can provide more accurate product recognition, personalized recommendations and real-time inventory tracking, all of which improve the overall shopping experience. AI-powered solutions can analyze customer behavior, predict purchasing patterns and offer targeted promotions, making the checkout process not only faster but also more engaging. For instance, in January 2025, Datalogic S.p.A., an Italian computer systems design services company, launched Shopevolution 8, a self-shopping software solution. It heralds a new era in trustability and loss prevention for self-scanning applications, helping retailers boost profits and reduce shrinkage. Combined with Joya devices, it offers features like Scan and Go, promotion management and real-time info tracking that increase customer satisfaction and loyalty. Powered by AI and machine learning, it empowers retailers to make data-driven decisions, taking retail efficiency to unprecedented levels. Shopevolution 8 is designed with versatility in mind, offering out-of-the-box integration with any Point of Sale (POS) system, customer management, loyalty systems and product pricing engines. Its robust API (Application Programming Interface) ensures seamless operation across any retail ICT (Information and Communication Technology) system, making it an ideal solution for modern retail environments.
- The global retail self-scanning solutions markets are fairly fragmented, with a large number of players operating in the market. The top ten competitors in the market made up 24.52% of the total market in 2023.
Retail Self-Scanning Solutions Global Market Opportunities And Strategies To 2034 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global retail self-scanning solutions market as it emerges from the COVID-19 shut down.
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Where is the largest and fastest-growing market for retail self-scanning solutions? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The retail self-scanning solutions market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider retail self-scanning solutions market; and compares it with other markets.
The report covers the following chapters
- Introduction and Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by type, by transaction and by applications.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Growth Analysis And Strategic Analysis Framework- Analysis on PESTEL, end use industries, market growth rate, global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM).
- Regional And Country Analysis - Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by type, by transaction and by applications in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size and Growth - Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major And Innovative Companies - Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking - Briefs on the financials comparison between major players in the market.
- Competitive Dashboard - Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions - Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Recent Developments - Information on recent developments in the market covered in the report.
- Market Opportunities And Strategies Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations This section includes recommendations for retail self-scanning solutions providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
- 1) By Type: Hardware; Software; Other Types
- 2) By Transactions: Cash Based; Dual; Cashless
- 3) By Application: Convenience Stores; Department Stores; Supermarkets; Hypermarkets; Specialty Retailers; Other Applications
- Companies Mentioned: Fujitsu Limited; Zebra Technologies Corp.; Datalogic S.p.A.; Honeywell International Inc.; Diebold Nixdorf Inc.
- Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
- Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
- Time-series: Five years historic and ten years forecast.
- Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; retail self-scanning solutions indicators comparison.
- Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
- Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.