In 2023, approximately ** percent of e-commerce retail sales in the United Kingdom were conducted through mobile devices. Projections for 2027 anticipate a further rise, with mobile commerce (m-commerce) expected to account for about **** percent of the total online shopping market in the UK.

According to a recent forecast on retail sales growth in the United Kingdom (UK) in the wake of the coronavirus (COVID-19) crisis, in 2021 online sales is forecast to constitute **** of all retail sales. For food retail, in 2021 an average of *** percent decline is projected both in online and offline retail, whereas non-food sales in physical stores are predicted to grow by **** percent.

Internet sales in Great Britain by store type, month and year.

In 2023, mobile e-commerce retail sales in the United Kingdom amounted to nearly ** billion British pounds. Forecasts suggest that this amount will steadily increase in the coming years, surpassing *** billion pounds by 2027.

Online retail in the United Kingdom has been gaining ground in the past decade. With the onset of the coronavirus (COVID-19) crisis, the value of online retail sales in the United Kingdom peaked at around 129.5 billion British pounds in 2021. In 2022, the figure decreased to ***** billion British pounds. However, they then went through another recovery and achieved around ***** billion British pounds in 2024. What ranks high in UK e-commerce? In the United Kingdom, clothing and household goods were the most popular retail items consumers purchased through the internet in 2020. Data published by the Office for National Statistics (UK) showed that other leisure activities and services such as booking holiday accommodations, travel arrangements and event tickets were other areas consumers depended on the internet to buy. German e-commerce market The UK might have the highest share of online sales in retail trade, but other European countries such as Germany and France have had impressive track records over the years as well. According to the forecasts provided by German E-commerce and Distance Selling Trade Association (bevh), the market volume of Germany’s e-commerce sector was projected to see over ** billion euros in 2021.

A series of retail sales data for Great Britain in value and volume terms, seasonally and non-seasonally adjusted.

Snapshot img

E-Commerce Retail Market Size 2025-2029

The e-commerce retail market size is forecast to increase by USD 4,833.5 billion at a CAGR of 12% between 2024 and 2029.

The market is experiencing significant growth, driven by the advent of personalized shopping experiences. Consumers increasingly expect tailored recommendations and seamless interactions, leading retailers to integrate advanced technologies such as Artificial Intelligence (AI) to enhance the shopping journey. However, this market is not without challenges. Strict regulatory policies related to compliance and customer protection pose obstacles for retailers, requiring continuous investment in technology and resources to ensure adherence.
Retailers must navigate these challenges to effectively capitalize on the market's potential and deliver value to customers. By focusing on personalization and regulatory compliance, e-commerce retailers can differentiate themselves, build customer loyalty, and ultimately thrive in this dynamic market. Balancing the need for innovation with regulatory requirements is a delicate task, necessitating strategic planning and operational agility. Fraud prevention and customer retention are crucial aspects of e-commerce, with payment gateways ensuring secure transactions.

What will be the Size of the E-Commerce Retail Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic market, shopping carts and checkout processes streamline transactions, while sales forecasting and marketing automation help businesses anticipate consumer demand and optimize promotions. SMS marketing and targeted advertising reach customers effectively, driving sales growth. Warranty claims and customer support chatbots ensure post-purchase satisfaction, bolstering customer loyalty. Retail technology advances, including sustainable packaging, green logistics, and mobile optimization, cater to environmentally-conscious consumers. Legal compliance, data encryption, and fraud detection safeguard businesses and consumer trust. Product reviews, search functionality, and personalized recommendations enhance the shopping experience, fostering customer engagement.
Dynamic pricing and delivery networks adapt to market fluctuations and consumer preferences, respectively. E-commerce software integrates various functionalities, from circular economy initiatives and website accessibility to email automation and real-time order tracking. Overall, the e-commerce landscape continues to evolve, with businesses adopting innovative strategies to meet the needs of diverse customer segments and stay competitive.

How is this E-Commerce Retail Industry segmented?

The e-commerce retail industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Apparel and accessories
  Groceries
  Footwear
  Personal and beauty care
  Others


Modality

  Business to business (B2B)
  Business to consumer (B2C)
  Consumer to consumer (C2C)


Device

  Mobile
  Desktop


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Product Insights

The apparel and accessories segment is estimated to witness significant growth during the forecast period. The market for apparel and accessories is experiencing significant growth, fueled by several key trends. Increasing consumer affluence and a shift toward premiumization are driving this expansion, with the organized retail sector seeing particular growth. Influenced by social media trends, the Gen Z demographic is a major contributor to this rise in online shopping. This demographic is known for their preference for the latest fashion trends and their willingness to invest in premium products, making them a valuable market segment. Machine learning and artificial intelligence are increasingly being used for returns management and personalized recommendations, enhancing the customer experience.

Ethical sourcing and supply chain optimization are also essential, as consumers demand transparency and sustainability. Cybersecurity threats continue to pose challenges, requiring robust strategies and technologies. B2C and C2C e-commerce are thriving, with influencer marketing and e-commerce analytics playing significant roles. Customer reviews are essential for building trust and brand loyalty, while reputation management and affiliate marketing help expand reach. Sustainable e-commerce and b2b e-commerce are also gaining traction, with third-party logistics and social commerce offering new opportunities. Augment

Context

This data set is pulled from UCI Machine Learning Repository, titled "Online Retail II Data Set", donated in 2019. This data set includes an additional year 01/12/2009-09/12/2010 from the data set titled "Online Retail Data Set" donated in 2015.

Content (quoted)

This Online Retail II data set contains all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2009 and 09/12/2011. The company mainly sells unique all-occasion gift-ware. Many customers of the company are wholesalers.

Attributes Description: InvoiceNo: Invoice number. Nominal. A 6-digit integral number uniquely assigned to each transaction. If this code starts with the letter 'c', it indicates a cancellation. StockCode: Product (item) code. Nominal. A 5-digit integral number uniquely assigned to each distinct product. Description: Product (item) name. Nominal. Quantity: The quantities of each product (item) per transaction. Numeric. InvoiceDate: Invoice date and time. Numeric. The day and time when a transaction was generated. UnitPrice: Unit price. Numeric. Product price per unit in sterling (£). CustomerID: Customer number. Nominal. A 5-digit integral number uniquely assigned to each customer. Country: Country name. Nominal. The name of the country where a customer resides.

Acknowledgements

Extracted from http://archive.ics.uci.edu/ml/datasets/Online+Retail+II. Data set provided by Dr. Daqing Chen, Course Director: MSc Data Science. chend '@' lsbu.ac.uk, School of Engineering, London South Bank University, London SE1 0AA, UK. Converted the original .xlsx format to .csv for ease of use and efficient data loading.

Global Spend Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision EUR is an aggregated transaction feed that includes consumer transaction data on 6.7M+ Europe-domiciled payment accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 4.4K+ brands and 620 symbols including 490 public tickers. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to understand a company’s growth by country for a specific time period (Ex: What was McDonald’s year-over-year growth by country from 2019-2020?)

Inquire about a CE subscription to perform more complex, near real-time global spend analysis functions on public tickers and private brands like: • Analyze year-over-year spend growth for a company for a subindustry by country • Analyze spend growth for a company vs. its competitors by country through most recent time

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Global Spend Analysis

Problem A global retailer wants to understand company performance by geography to identify growth and expansion opportunities.

Solution Consumer Edge transaction data can be used to analyze shopper behavior across geographies and track: • Growth trends by country vs. competitors • Brand performance vs. subindustry by country • Opportunities for product and location expansion

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key growth drivers by geography for company-wide reporting • Refine strategy in underperforming geographies, both online and offline • Identify areas for investment and expansion by country • Understand how different cohorts are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets

Context

Typically e-commerce datasets are proprietary and consequently hard to find among publicly available data. However, The UCI Machine Learning Repository has made this dataset containing actual transactions from 2010 and 2011. The dataset is maintained on their site, where it can be found by the title "Online Retail".

Content

"This is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store online retail.The company mainly sells unique all-occasion gifts. Many customers of the company are wholesalers."

Acknowledgements

Per the UCI Machine Learning Repository, this data was made available by Dr Daqing Chen, Director: Public Analytics group. chend '@' lsbu.ac.uk, School of Engineering, London South Bank University, London SE1 0AA, UK.

Image from stocksnap.io.

Inspiration

Analyses for this dataset could include time series, clustering, classification and more.

Since the start of the coronavirus (COVID-19) pandemic, growth rates of online-only retailers in the United Kingdom (UK) varied between *** percent in April 2020 to **** percent in both September and October 2020. Most recently, during the Christmas holiday period, online-only retailers increased their sales by *** percent.

Context

E-commerce has become a new channel to support businesses development. Through e-commerce, businesses can get access and establish a wider market presence by providing cheaper and more efficient distribution channels for their products or services. E-commerce has also changed the way people shop and consume products and services. Many people are turning to their computers or smart devices to order goods, which can easily be delivered to their homes.

Content

This is a sales transaction data set of UK-based e-commerce (online retail) for one year. This London-based shop has been selling gifts and homewares for adults and children through the website since 2007. Their customers come from all over the world and usually make direct purchases for themselves. There are also small businesses that buy in bulk and sell to other customers through retail outlet channels.

The data set contains 500K rows and 8 columns. The following is the description of each column. 1. TransactionNo (categorical): a six-digit unique number that defines each transaction. The letter “C” in the code indicates a cancellation. 2. Date (numeric): the date when each transaction was generated. 3. ProductNo (categorical): a five or six-digit unique character used to identify a specific product. 4. Product (categorical): product/item name. 5. Price (numeric): the price of each product per unit in pound sterling (£). 6. Quantity (numeric): the quantity of each product per transaction. Negative values related to cancelled transactions. 7. CustomerNo (categorical): a five-digit unique number that defines each customer. 8. Country (categorical): name of the country where the customer resides.

There is a small percentage of order cancellation in the data set. Most of these cancellations were due to out-of-stock conditions on some products. Under this situation, customers tend to cancel an order as they want all products delivered all at once.

Inspiration

Information is a main asset of businesses nowadays. The success of a business in a competitive environment depends on its ability to acquire, store, and utilize information. Data is one of the main sources of information. Therefore, data analysis is an important activity for acquiring new and useful information. Analyze this dataset and try to answer the following questions. 1. How was the sales trend over the months? 2. What are the most frequently purchased products? 3. How many products does the customer purchase in each transaction? 4. What are the most profitable segment customers? 5. Based on your findings, what strategy could you recommend to the business to gain more profit?

Photo by CardMapr on Unsplash

The United Kingdom had *** of its worst Christmas trading periods in 2019, with retail sales showing the lowest growth rates of recent years. Similarly, as seen in the present statistic, shopper traffic to retail locations during this period underwent a decline, showing a difference of **** percent compared to the same period in the previous year. Online sales, on the other hand, showed an improvement of about ***, unlike like-for-like sales, which fell by *** percent.

This report is the result of Conlumino’s extensive market research covering China Online Retailers. It provides detailed historic and forecast sales value of the market at category level. "Online Retailers in China: Market Snapshot to 2019" provides a top-level overview and detailed insight into the operating environment of China retail industry. It is an essential tool for companies active across China retail value chain and for new players considering entering the market. Read More

In 2020, the e-commerce sales reached a share of **** percent of all retail sales in the Untied Kingdom (UK). For 2025, the forecasted retail e-commerce sales as a share of total retail sales in the UK might reach **** percent, up from the previous years.

Snapshot img

Online Apparel Retailing Market Size 2025-2029

The online apparel retailing market size is forecast to increase by USD 343.2 billion, at a CAGR of 16.2% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing popularity of mobile commerce and network marketing. Consumers preference for the convenience and accessibility of shopping online, coupled with the widespread adoption of digital payment systems, is fueling this trend. However, the market faces challenges as well. The presence of counterfeit products poses a significant threat, requiring robust measures to ensure authenticity and consumer trust. Retailers must navigate this issue carefully to maintain their brand reputation and customer loyalty. As the market continues to evolve, companies must stay agile and adapt to these dynamics to capitalize on opportunities and mitigate risks effectively.
By focusing on customer experience, innovation, and brand protection, retailers can differentiate themselves and thrive in the competitive online apparel retailing landscape.

What will be the Size of the Online Apparel Retailing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

The market continues to evolve, with dynamic market dynamics shaping its various sectors. Product photography plays a crucial role in showcasing merchandise, while order fulfillment ensures timely delivery. Social media integration enhances brand visibility, and ethical sourcing addresses sustainability concerns. Online storefronts and website optimization attract customers, reducing carbon footprint through e-commerce platforms. Customer retention is fostered through personalization algorithms, interactive shopping experiences, and mobile commerce. Mobile app development caters to on-the-go consumers, and 3D modeling offers virtual try-on technology. Security protocols and customer data protection maintain trust, while fair trade practices and customer segmentation cater to diverse demographics. E-commerce platforms employ machine learning for predictive analytics, subscription services, and fraud detection.

Omnichannel strategy integrates physical and digital channels, and recycled materials and upcycled products cater to the growing demand for sustainability. Content marketing, payment gateways, and shipping logistics further streamline operations. Virtual assistants, returns processing, and virtual styling offer enhanced customer service, while loyalty programs and data analytics provide valuable insights. Augmented reality (AR) and virtual reality (VR) create immersive shopping experiences, and influencer marketing expands reach. Continuous innovation in technology and consumer preferences keeps the market in a constant state of flux.

How is this Online Apparel Retailing Industry segmented?

The online apparel retailing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

End-user

  Men apparel
  Women apparel
  Children apparel


Product

  Upper wear apparel
  Bottom wear apparel
  Others


Business Segment

  Business-to-consumer (B2C)
  Business-to-business (B2B)


Geography

  North America

    US


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

.

By End-user Insights

The men apparel segment is estimated to witness significant growth during the forecast period.

The market is witnessing dynamic trends, with sustainable fashion gaining prominence. Consumers are increasingly seeking eco-friendly and ethically sourced clothing, leading retailers to prioritize ethical sourcing and fair trade practices. Inventory management plays a crucial role in ensuring stock availability and reducing wastage, while personalization algorithms offer customized shopping experiences. Pay-Per-Click (PPC) advertising and social media marketing are key digital marketing strategies, driving customer engagement and sales. Interactive shopping experiences, such as virtual try-on technology and augmented reality, enhance the customer journey. Mobile commerce and mobile app development cater to the growing preference for convenient, on-the-go shopping. Fashion trends influence buying behavior, with product reviews and influencer marketing shaping customer decisions.

Email marketing and loyalty programs foster brand loyalty and customer retention. Product photography, order fulfillment, and shipping logistics ensure a seamless shopping experience. Data privacy and security protocols protect customer data, while machine learning and predictive analytics optimize operati

This report is the result of Conlumino’s extensive market research covering Czech Republic Online Retailers. It provides detailed historic and forecast sales value of the market at category level. "Online Retailers in Czech Republic: Market Snapshot to 2019" provides a top-level overview and detailed insight into the operating environment of Czech Republic retail industry. It is an essential tool for companies active across Czech Republic retail value chain and for new players considering entering the market. Read More

About the Dataset:

Amazon is one of the biggest online retailers in the UK. With this dataset, you can get an in-depth idea of what products sell best, which SEO titles generate the most sales, the best price range for a product in a given category, and much more.

It took a lot of time and energy to prepare this original dataset, so don't forget to hit the upvote button! 😊💝

Similar Datasets:

Amazon Canada Products

Amazon India Products

Amazon USA Products

Interesting Task Ideas:

1. Uncover trending product categories and their sales performance.
2. Analyze customer ratings to find top-rated products.
3. Train a product title generator that can generate sales-worthy product titles based on products with the most sales.
4. Gain insight into the best price for any given product based on sales data and competition.
5. Identify which niches are the easiest to make sales in.
6. Gain insights into the general spending habits of online shoppers.
7. Use as a seed dataset for practicing database management and performance optimization.
8. Train (or learn to train) an AI-based search model to recommend Amazon products.

Checkout my other datasets

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Black-White Wage Gap in the USA Dataset

Photo by Canonicalized

South African online retail market is set to double by 2019 Saudi Arabia and UAE are the most emerging markets in the Middle East Saudi Arabia is expected grow the fastest in the region Cash on delivery most preferred mode of payment in Middle East Read More

Snapshot img

UK Grocery Retail Market Size 2025-2029

The UK grocery retail market size is valued to increase USD 56.2 billion, at a CAGR of 3.8% from 2024 to 2029. Rapid urbanization and rising consumer spending will drive the UK grocery retail market.

Major Market Trends & Insights

By Product - Food and beverages segment was valued at USD 176.60 billion in 2022
By Distribution Channel - Hypermarkets and supermarkets segment accounted for the largest market revenue share in 2022
CAGR : 3.8%

Market Summary

The Grocery Retail Market in the UK is a dynamic and evolving sector, characterized by the adoption of core technologies and innovative applications. With rapid urbanization and rising consumer spending, grocery retailers are investing in advanced technologies such as automation, AI, and robotics to streamline operations and enhance the customer experience. For instance, the use of self-checkout kiosks and mobile apps for contactless shopping has surged in popularity, particularly in response to the COVID-19 pandemic. However, the market also faces challenges, including the threat from counterfeit grocery products. According to a report by the Food Standards Agency, around 10% of all food and drink products sold in the UK are believed to be counterfeit.
To mitigate this issue, regulatory bodies are implementing stricter regulations and collaborating with retailers to ensure product authenticity. Despite these challenges, opportunities abound for grocery retailers in the UK. The market is expected to witness significant growth in the coming years, with online grocery sales projected to reach 15% of the total market share by 2025. Innovative store layouts and offerings, such as click-and-collect services and subscription-based models, are also gaining popularity among consumers. Overall, the Grocery Retail Market in the UK is a continuously unfolding landscape, shaped by a complex interplay of technological advancements, regulatory requirements, and consumer preferences.

What will be the Size of the UK Grocery Retail Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Grocery Retail in UK Market Segmented and what are the key trends of market segmentation?

The grocery retail in UK industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Food and beverages
  Non food


Distribution Channel

  Hypermarkets and supermarkets
  Convenience stores
  Discount stores
  Online
  Others


Sales Channel

  In-Store
  Online Delivery
  Click-and-Collect


Consumer Segment

  Urban Consumers
  Rural Consumers
  Premium Shoppers


Product Types

  Fresh Produce
  Packaged Foods
  Household Goods
  Health and Beauty


Geography

  Europe

    UK

By Product Insights

The food and beverages segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving grocery retail market in the UK, loss prevention strategies continue to be a priority for retailers, with online grocery shopping seeing a significant increase in adoption, reaching 7.1% of total sales in 2020. Sales promotion techniques, such as promotional pricing models and loyalty programs, are essential tools to attract and retain customers. Food safety regulations play a crucial role in ensuring product quality and consumer trust. Stock rotation and inventory optimization are essential for maintaining freshness and reducing waste. Automated checkout systems and self-checkout kiosks streamline the shopping experience, while e-commerce platforms enable seamless online ordering and last mile delivery.

Product traceability and quality control measures are vital for ensuring the authenticity and safety of goods. Retail technology integration, including demand forecasting and data analytics dashboards, enables retailers to optimize store operations efficiency and adapt to changing consumer behavior. Customer service metrics, such as response times and resolution rates, are key performance indicators for maintaining customer satisfaction. The grocery market is expected to grow further, with online sales projected to reach 11.7% of total sales by 2025. The adoption of advanced technologies, such as RFID tagging, AI-driven demand forecasting, and warehouse automation, will continue to transform the industry.

Category management techniques and waste reduction initiatives will help retailers optimize their offerings and reduce costs. The foods and beverages segment, which includes fresh and frozen meat, dairy products, fruits and vegetables, and snack foods, is a significant contributor to the market's growth. The most preferred grocery products in this segment include fresh bread, salty snacks, and ce