The India retail market size USD 952.02 Billion in 2024. The market is expected to grow at a CAGR of 11.40% during the forecast period of 2025-2034 to reach a value of USD 2802.19 Billion by 2034. Tier II and III cities' increasing disposable incomes and digital exposure are driving demand for mid-format retail stores, enabling brands to expand beyond metro cities with cost-effective, experience-driven outlets and localised assortments.

The Indian market is undergoing a structural transition, notably driven by the rising dominance of phygital commerce, an integration of digital and physical retail channels. Majority of the organised retailers have adopted hybrid models to cater to Tier II and III cities in India. As per the India retail market analysis, with smartphone penetration surpassing 880 million and UPI transactions crossing INR 18.68 billion in May 2025, the shift has become deeply infrastructural.

Meanwhile, government-backed initiatives are fuelling formalisation across sectors. The Open Network for Digital Commerce (ONDC), launched by DPIIT, onboarded over 3,70,000 sellers by March 2024, targeting small traders in Tier IV and rural belts. This is pushing the democratisation of retail accessibility. With integrations across logistics, payment gateways, and last-mile delivery platforms, ONDC is enabling even single-store retailers to reach pan-India consumers. The initiative also encourages fair pricing, enhances seller autonomy, and reduces dependency on large e-commerce intermediaries, boosting the India retail market growth.

Context

The Customer Shopping Preferences Dataset offers valuable insights into consumer behavior and purchasing patterns. Understanding customer preferences and trends is critical for businesses to tailor their products, marketing strategies, and overall customer experience. This dataset captures a wide range of customer attributes including age, gender, purchase history, preferred payment methods, frequency of purchases, and more. Analyzing this data can help businesses make informed decisions, optimize product offerings, and enhance customer satisfaction. The dataset stands as a valuable resource for businesses aiming to align their strategies with customer needs and preferences. It's important to note that this dataset is a Synthetic Dataset Created for Beginners to learn more about Data Analysis and Machine Learning.

Content

This dataset encompasses various features related to customer shopping preferences, gathering essential information for businesses seeking to enhance their understanding of their customer base. The features include customer age, gender, purchase amount, preferred payment methods, frequency of purchases, and feedback ratings. Additionally, data on the type of items purchased, shopping frequency, preferred shopping seasons, and interactions with promotional offers is included. With a collection of 3900 records, this dataset serves as a foundation for businesses looking to apply data-driven insights for better decision-making and customer-centric strategies.

Dataset Glossary (Column-wise)

• Customer ID - Unique identifier for each customer
• Age - Age of the customer
• Gender - Gender of the customer (Male/Female)
• Item Purchased - The item purchased by the customer
• Category - Category of the item purchased
• Purchase Amount (USD) - The amount of the purchase in USD
• Location - Location where the purchase was made
• Size - Size of the purchased item
• Color - Color of the purchased item
• Season - Season during which the purchase was made
• Review Rating - Rating given by the customer for the purchased item
• Subscription Status - Indicates if the customer has a subscription (Yes/No)
• Shipping Type - Type of shipping chosen by the customer
• Discount Applied - Indicates if a discount was applied to the purchase (Yes/No)
• Promo Code Used - Indicates if a promo code was used for the purchase (Yes/No)
• Previous Purchases - The total count of transactions concluded by the customer at the store, excluding the ongoing transaction
• Payment Method - Customer's most preferred payment method
• Frequency of Purchases - Frequency at which the customer makes purchases (e.g., Weekly, Fortnightly, Monthly)

Structure of the Dataset

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Acknowledgement

This dataset is a synthetic creation generated using ChatGPT to simulate a realistic customer shopping experience. Its purpose is to provide a platform for beginners and data enthusiasts, allowing them to create, enjoy, practice, and learn from a dataset that mirrors real-world customer shopping behavior. The aim is to foster learning and experimentation in a simulated environment, encouraging a deeper understanding of data analysis and interpretation in the context of consumer preferences and retail scenarios.

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Thumbnail by: Clothing icons created by Flat Icons - Flaticon

Monthly dataset of the India Retail Sales YoY, including historical data, latest releases, and long-term trends from 2020-04-30 to 2025-07-31. Available for free download in CSV format.

In India Retail Market is projected to grow from USD 2.3 trillion in 2025 to USD 3.7 trillion by 2031, at a CAGR of 8.2%

The BrandX India Stores dataset provides a structured view of retail operations across multiple cities in India. It includes detailed information on product sales, revenue, quantities sold, store performance, and customer payment preferences across a three-year period (2022–2024).Thier is 5000+ rows and 40+ columns.

This dataset is ideal for retail analytics, data engineering workflows, business intelligence, forecasting, and dashboard development. Users can explore trends across time, products, categories, cities, and payment methods to uncover actionable insights such as top-performing products, seasonal revenue patterns, and store-level performance metrics.

The dataset supports a wide range of analytical use cases, including:

• Sales forecasting

• Product performance ranking

• Revenue trend analysis

• Store comparison insights

• Payment method behavior

• Retail KPI modelling

It is well-suited for practitioners experimenting with Power BI, SQL, Python, or data engineering pipelines. The clean structure makes it beginner-friendly while still rich enough for advanced exploratory analysis and machine learning use cases.

Snapshot img

Retail Analytics Market Size 2025-2029

The retail analytics market size is forecast to increase by USD 28.47 billion, at a CAGR of 29.5% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing volume and complexity of data generated by retail businesses. This data deluge offers valuable insights for retailers, enabling them to optimize operations, enhance customer experience, and make data-driven decisions. However, this trend also presents challenges. One of the most pressing issues is the increasing adoption of Artificial Intelligence (AI) in the retail sector. While AI brings numerous benefits, such as personalized marketing and improved supply chain management, it also raises privacy and security concerns among customers.
Retailers must address these concerns through transparent data handling practices and robust security measures to maintain customer trust and loyalty. Navigating these challenges requires a strategic approach, with a focus on data security, customer privacy, and effective implementation of AI technologies. Companies that successfully harness the power of retail analytics while addressing these challenges will gain a competitive edge in the market.

What will be the Size of the Retail Analytics 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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The market continues to evolve, driven by the constant need for businesses to gain insights from their data and adapt to shifting consumer behaviors. Entities such as text analytics, data quality, price optimization, customer journey mapping, mobile analytics, time series analysis, regression analysis, social media analytics, data mining, historical data analysis, and data cleansing are integral components of this dynamic landscape. Text analytics uncovers hidden patterns and trends in unstructured data, while data quality ensures the accuracy and consistency of information. Price optimization leverages historical data to determine optimal pricing strategies, and customer journey mapping provides insights into the customer experience.

Mobile analytics caters to the growing number of mobile shoppers, and time series analysis identifies trends and patterns over time. Regression analysis uncovers relationships between variables, social media analytics monitors brand sentiment, and data mining uncovers hidden patterns and correlations. Historical data analysis informs strategic decision-making, and data cleansing prepares data for analysis. Customer feedback analysis provides valuable insights into customer satisfaction, and association rule mining uncovers relationships between customer behaviors and purchases. Predictive analytics anticipates future trends, real-time analytics delivers insights in real-time, and market basket analysis uncovers relationships between products. Data security safeguards sensitive information, machine learning (ML) and artificial intelligence (AI) enhance data analysis capabilities, and cloud-based analytics offers flexibility and scalability.

Business intelligence (BI) and open-source analytics provide comprehensive data analysis solutions, while inventory management and supply chain optimization streamline operations. Data governance ensures data is used ethically and effectively, and loyalty programs and A/B testing optimize customer engagement and retention. Seasonality analysis accounts for seasonal trends, and trend analysis identifies emerging trends. Data integration connects disparate data sources, and clickstream analysis tracks user behavior on websites. In the ever-changing retail landscape, these entities are seamlessly integrated into retail analytics solutions, enabling businesses to stay competitive and adapt to evolving market dynamics.

How is this Retail Analytics Industry segmented?

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

Application

  In-store operation
  Customer management
  Supply chain management
  Marketing and merchandizing
  Others


Component

  Software
  Services


Deployment

  Cloud-based
  On-premises


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The in-store operation segment is estimated to witness significant growth during the forecast period. In the realm of retail, the in-store operation segment of the market plays a pivotal role in optimizing brick-and-mortar retail operations. This segment encompasses various data analytics applications within phys

Success.ai’s Retail Data for Retail Professionals in APAC offers a comprehensive and accurate dataset tailored for businesses and organizations aiming to connect with key players in the retail industry across the Asia-Pacific region. Covering roles such as retail managers, merchandisers, supply chain specialists, and executives, this dataset provides verified LinkedIn profiles, work emails, and professional histories.

With access to over 700 million verified global profiles, Success.ai ensures your outreach, marketing, and collaboration strategies are powered by continuously updated, AI-validated data. Backed by our Best Price Guarantee, this solution empowers you to excel in the dynamic and competitive APAC retail market.

Why Choose Success.ai’s Retail Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of retail professionals across APAC.
   • AI-driven validation ensures 99% accuracy, reducing inefficiencies and boosting engagement outcomes.

2. Comprehensive Coverage of APAC’s Retail Sector

   • Includes professionals from key retail hubs such as China, Japan, South Korea, India, Australia, and Southeast Asia.
   • Gain insights into market trends, consumer behavior, and retail innovations unique to the APAC region.

3. Continuously Updated Datasets

   • Real-time updates capture changes in roles, organizations, and industry dynamics.
   • Stay aligned with evolving trends and capitalize on emerging opportunities in the retail sector.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Access detailed retail data for professionals and organizations across the APAC region.
• Verified Contact Details: Gain work emails, phone numbers, and LinkedIn profiles for precise targeting.
• Professional Histories: Understand career trajectories, areas of expertise, and contributions to the retail sector.
• Regional Insights: Leverage actionable data on consumer preferences, supply chain challenges, and market trends.

Key Features of the Dataset:

1. Comprehensive Retail Professional Profiles

   • Identify and connect with professionals managing retail operations, merchandising, supply chains, and customer engagement strategies.
   • Target decision-makers involved in e-commerce, brick-and-mortar retail, and omnichannel strategies.

2. Advanced Filters for Precision Campaigns

   • Filter professionals by industry focus (fashion, electronics, grocery), geographic location, or job function.
   • Tailor campaigns to align with specific business needs, such as technology adoption, marketing strategies, or vendor partnerships.

3. Regional and Industry-specific Insights

   • Leverage data on APAC’s retail trends, consumer purchasing patterns, and logistics challenges.
   • Refine strategies to align with unique market dynamics and customer expectations.

4. AI-Driven Enrichment

   • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

Strategic Use Cases:

1. Marketing Campaigns and Outreach

   • Promote retail technology solutions, marketing tools, or supply chain services to retail professionals in the APAC region.
   • Use verified contact data for multi-channel outreach, including email, phone, and LinkedIn campaigns.

2. Partnership Development and Collaboration

   • Build relationships with retail chains, e-commerce platforms, and logistics providers seeking strategic partnerships.
   • Foster collaborations that enhance customer experiences, expand distribution networks, or improve operational efficiencies.

3. Market Research and Competitive Analysis

   • Analyze regional retail trends, consumer behavior, and supply chain innovations to refine product offerings and business strategies.
   • Benchmark against competitors to identify growth opportunities and high-demand solutions.

4. Recruitment and Talent Acquisition

   • Target HR professionals and hiring managers in the retail industry recruiting for roles in merchandising, operations, and digital transformation.
   • Provide workforce optimization platforms or training solutions tailored to the retail sector.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing, sales, and business outreach efforts.

2. Seamless Integration

   • Integrate verified retail data into CRM systems, analytics platforms, or marketing tools via APIs or downloadable formats, streamlining workflows and enhancing productivity.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven decisions, refine targeting, and boost conv...

Discover the booming India travel retail market! Explore its $2.03B (2025) valuation, 21.59% CAGR, key drivers, trends, and top players like Dufry & Lotte. This in-depth analysis projects impressive growth to 2033, covering segments like fashion, spirits, and cosmetics across various channels. Recent developments include: August 2023: Brand Concepts Ltd, a fashion retail house specializing in travel gear, handbags, and lifestyle accessories, collaborated with United Colors of Benetton to introduce an exclusive collection of travel accessories and small leather items in the Indian market., February 2023: Dufry AG, the world's largest duty-free operator, acquired Autogrill SpA, a company specializing in motorway and airport catering, from the Benetton Family.. Key drivers for this market are: Increase in Domestic Travel Driving the Market, Growing Tourist Footfall Driving the Market. Potential restraints include: Increase in Domestic Travel Driving the Market, Growing Tourist Footfall Driving the Market. Notable trends are: Growth of Tourism is Impacting the India Travel Retail Market.

India Retail Analytics Market growth is driven by increasingly digital and customer-centric, data analytics will be a key driver in enabling agility, personalization, and profitability across the sector.

The India Travel Retail Market Report is Segmented by Product Type (Fashion and Accessories, Wine and Spirits, and More), Distribution Channel (Airports, Cruise Liners, Railway Stations, Other Distribution Channels), Traveler Demographics (Business Travelers, Leisure Travelers, and More), and Geography (North India, South India, West India, East India, Central India). The Market Forecasts are Provided in Terms of Value (USD).

The dataset used in this study was created based on reports of shopping patterns in Indian retail stores. It included records of items frequently purchased together, such as 'Bread', 'Honey', 'Bacon', 'Toothpaste', 'Banana', 'Apple', 'Hazelnut', 'Cheese', 'Meat', 'Carrot', 'Cucumber', 'Onion', 'Milk', 'Butter', 'Shaving foam', 'Salt', 'Flour', 'Heavy cream', 'Egg', 'Olive', 'Shampoo', and 'Sugar'. The dataset highlighted purchase patterns, such as a tendency for customers purchasing salt and onions to also purchase eggs, based on historical trends. Must Cite the Paper: https://doi.org/10.1007/978-3-031-97713-8_10

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India Online Fashion Retail Market Size 2025-2029

The India online fashion retail market size is forecast to increase by USD 36.01 billion, at a CAGR of 22.2% between 2024 and 2029.

Major Market Trends & Insights

By Product - Apparel segment was valued at USD 8.26 billion in 2022
By Gender - Women segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 314.31 billion
Market Future Opportunities: USD 36.01 billion 
CAGR : 22.2%

Market Summary

The market has witnessed significant growth, fueled by the increasing adoption of digital technologies and the rise in internet and smartphone penetration. According to recent reports, India's online fashion market is projected to reach USD 35 billion by 2025, growing at a steady pace. This expansion is driven by the convenience and accessibility offered by e-commerce platforms, which allow consumers to shop from the comfort of their homes. Moreover, the presence of various payment options, including credit/debit cards, digital wallets, and cash on delivery, has further boosted the market's growth. In contrast, traditional brick-and-mortar stores face challenges such as high rental costs and limited product offerings, making e-commerce an attractive alternative.
The fashion industry's online segment includes various categories, such as apparel, footwear, and accessories, with apparel being the largest and fastest-growing segment. As the market continues to evolve, we can expect to see increased competition, innovative marketing strategies, and personalized shopping experiences.

What will be the size of the India Online Fashion Retail Market during the forecast period?

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

The market exhibits a significant presence in the country's burgeoning e-commerce sector. According to recent estimates, the market currently accounts for over 3% of India's total retail sector, with a growth rate of approximately 25% year-on-year. Looking forward, this figure is projected to reach nearly 5% by 2025. A comparison of key performance indicators reveals that online fashion retailers in India have achieved impressive customer engagement. For instance, the average customer lifetime value stands at INR 25,000, while the conversion rate for mobile commerce reaches 35%. Furthermore, the market's growth is driven by factors such as increasing internet penetration, improving digital infrastructure, and the rising popularity of social commerce.
In terms of competition, players in the online fashion retail space continue to invest in various strategies to differentiate themselves. These include website traffic analysis, customer segmentation models, and personalization algorithms, among others. Despite challenges such as payment processing fees, e-commerce logistics, and returns and exchanges, the market's potential for growth remains strong. In conclusion, the market presents a compelling opportunity for businesses looking to expand their reach and capitalize on the country's growing digital economy. With a projected growth rate of 25% year-on-year and a customer lifetime value of INR 25,000, the market's potential for revenue generation is significant.
Furthermore, the increasing popularity of mobile commerce and social commerce trends underscores the importance of a robust digital presence for fashion retailers.

How is this India Online Fashion Retail Market segmented?

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

Product

  Apparel
  Footwear
  Bags and accessories


Gender

  Women
  Men
  Children


Price Range

  Economy
  Mid-Range
  Premium


Platform

  Mobile Apps
  Web Portals


Geography

  APAC

    India

By Product Insights

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

In the dynamic and evolving online fashion retail landscape in India, the apparel segment experiences consistent growth. Consumers prioritize fashionable and comfortable clothing, driving retailers to cater to diverse consumer segments. The market encompasses a wide range of clothing categories for men, women, children, and infants. Top wear apparel, including tops, blouses, dresses, casual shirts, formal shirts, T-shirts, sweaters, sweatshirts, tank tops, and vests, currently accounts for a significant market share. Meanwhile, bottom wear, consisting of trousers, jeans, jeggings, pants, shorts, and skirts, also experiences steady demand. Intimates and sleepwear, such as pajamas, bathrobes, shapewear, slips, socks, underwear, and briefs, are essential categories that cater to consumers' daily needs.

Children's and inf

The Retail Market is Segments by Product Type (Food, Beverage, and Grocery, Personal and Household Care, Apparel, Footwear and Accessories, and More), by Distribution Channel (Supermarkets/Hypermarkets, Convenience and Discount Stores, Specialty Stores, and More), and by Geography (North America, Europe, Asia-Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).

The India Retail Fuel Market Report is Segmented by Ownership (Public Sector Undertakings and Private Owned) and End User (Public Sector and Private Sector).

The retail market size in India was expected to amount to *** trillion U.S. dollars by 2026, up from *** trillion dollars in 2023. While an overall increase was noted up to 2019, 2020 marked a decrease due to the coronavirus pandemic. The Indian retail landscape Despite the pandemic, India was among the few countries showing growth in retail sales in 2020. Characterized by its unorganized retail, primarily via kirana stores, the country underwent a process of change in retail forms, which is yet to pace down. The emergence of larger retail spaces such as malls and supermarkets, along with the growth of online commerce, drove change in the subcontinent’s retail landscape. Nevertheless, kirana stores continued to dominate Indian retail, adopting digitalization and collaboration with larger players in this sector. The dominance of grocery retail   The retail of groceries contributed as much as ** percent to India’s retail industry. However, only a small share of that was sold through online or modern retailers. The coronavirus (COVID-19) pandemic in 2020 gave online retail a new push to e-grocers. As products were sometimes not available at physical stores, online grocers such as BigBasket managed to fill that gap successfully.

Market Size and Drivers: The India Travel Retail Market valued at USD 2.03 million in 2025 is projected to grow at a CAGR of 21.59%, reaching USD 6.93 million by 2033. This growth is driven by increasing disposable income, rising travel and tourism, and the expansion of the retail sector in airports and other transportation hubs. The growing popularity of online travel retail channels has further contributed to market growth. Trends and Market Segmentation: The market is segmented into product types including fashion and accessories, wine and spirits, tobacco, food and confectionary, fragrances and cosmetics, and other products. Airports and cruise liners are the primary distribution channels, with other channels such as railway stations and online platforms gaining traction. The market is dominated by established players such as Dufry, Delhi Duty Free, Travel Food Services (TFS) India, and The Shilla, who hold significant market share. Key trends include personalization of retail experiences, digitalization of shopping processes, and a focus on sustainable and eco-friendly packaging. Recent developments include: August 2023: Brand Concepts Ltd, a fashion retail house specializing in travel gear, handbags, and lifestyle accessories, collaborated with United Colors of Benetton to introduce an exclusive collection of travel accessories and small leather items in the Indian market., February 2023: Dufry AG, the world's largest duty-free operator, acquired Autogrill SpA, a company specializing in motorway and airport catering, from the Benetton Family.. Key drivers for this market are: Increase in Domestic Travel Driving the Market, Growing Tourist Footfall Driving the Market. Potential restraints include: Restrictions on Purchases of Number of Products, Customs Regulations and Taxation Policies. Notable trends are: Growth of Tourism is Impacting the India Travel Retail Market.

This dataset contains 250 transactional records from a simulated Superstore operating across India. It provides a granular look at sales figures, the Region where the transaction occurred, the Date of sale, and details on the Products involved. This is an ideal starting point for beginners learning time-series analysis, geospatial aggregation, or basic profit/loss modeling using a focused, clean dataset. Dive in to uncover initial sales patterns across Indian territories.

India Food Retail Market is expected to grow during 2025-2031

Online shopping sales across India amounted to around ** billion U.S. dollars in 2021. The e-commerce market is likely to grow to over *** billion U.S. dollars by 2025. The e-commerce market in India is the fastest-growing market in the world. Online retail segments In fiscal year 2017, the retail market was led by electronics with a penetration rate of about ** percent. However, in terms of groceries, local offline vendors or kiranas continued to be the preferred choice for daily groceries due the ease of bargaining and benefitting from the ‘old-customer’ designation with extra rations as a gesture from the vendor. Nevertheless, the number of online shoppers in the country was estimated to increase to over *** million in 2025, up from around ** million in 2017. Impact of COVID-19 on the marketThe coronavirus outbreak in March 2020 caused a surge in prices across e-commerce platforms. Panic purchasing resulted in the shortage of sanitary and food items online as well as in physical stores across the country. As the online consumption continued to increase, unscrupulous sellers jacked up the prices on certain items. Amazon and Flipkart, the two e-commerce market leaders in India urged sellers and even blocked certain products to exercise responsible pricing. Manufacturers increased production in order to keep up with the supply of fast-moving items. With the uncertainty surrounding the impact of COVID-19, manufacturers and retailers will presumably have to work in unison to keep track of an unprecedented demand and supply scenario.

In India Smart Retail Market, offering valuable insights, key market trends, competitive landscape, and future outlook to support strategic decision.