In 2024, holiday retail sales in the United States were forecast to reach about ***** billion U.S. dollars. This figure was given as a conservative value; retail sales over the holiday season was projected to be between ***** billion U.S. dollars to *** billion U.S. dollars in 2024. Holiday retail sales have risen substantially since the turn of the century, with holiday retail sales amounting to approximately *** billion U.S. dollars back in 2002. Holiday retail sales are a fraction of total retail sales in the United States which were around ************** U.S. dollars in 2023. Holiday season e-commerce is also on the rise, with increasing numbers of retailers and consumers going digital. What makes up the winter holiday season in the United States? The winter holiday season includes shopping occasions such as Thanksgiving weekend - which is made up of Black Friday, Small Business Saturday, and Cyber Monday, Super Saturday – the last Saturday before Christmas, and Christmas itself. Thanksgiving weekend is a very popular time for consumers to partake in holiday shopping. In 2022, over *** million U.S. consumers shopped on Black Friday. Leading companies in U.S. retail The domestic retail market in the United States is very competitive, with many companies recording substantial retail sales. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers.

Based on Statista estimates, the total value of retail sales over the holiday shopping season is forecast to reach 973 billion U.S. dollars in 2024. This marks a 4.8 percent increase on the previous year's value, which accounted to about 929 billion U.S. dollars.

For the 2024 holiday season in the United States, Amazon was projected to generate ****** billion U.S. dollars in sales. Walmart e-commerce sales were projected to reach ***** billion, and Apple's online sales - ** billion.

In the United States, holiday season online retail sales grew by *** percent in 2023 compared to the previous year. Forecasts suggested that this growth would increase in 2024 to *** percent. The new normal in holiday shopping In 2020, the COVID-19 pandemic prompted many U.S. consumers to do their holiday shopping online. A year later, although the situation once again allows for physical shopping, e-commerce is still gaining relevance. According to estimates, holiday season online retail sales in the United States were to reach new heights in 2023, amounting to *** billion dollars. As in previous years, Cyber Monday and Black Friday would remain the most relevant holiday shopping days in 2023, expected to generate approximately ** billion and *** billion U.S. dollars in sales, respectively. A preference for online With Cyber Monday expected to generate *** billion dollars more than Black Friday in 2023, it comes as no surprise that most holiday shoppers reported that their preferred type of retailer for holiday gifts were online-only retailers. Over six in ten consumers prefered to buy holiday gifts from e-commerce only merchants, while department stores only only preferred by about ** percent of seasonal shoppers.

This statistic shows the year-over-year growth of holiday retail sales in the United States from 2000 to 2024. In 2024, holiday retail sales were forecast to grow by approximately 2.5 percent compared to the previous year. This was given as a conservative value. Forecast holiday season retail growth was expected to be within 2.5 and 3.5 percent range. Holiday season in the United States The holiday season is just around the corner and it’s truly the best time of the year for both consumers and retailers of all shapes and sizes. Since the recession in 2008, Christmas holiday retail sales in the United States have grown steadily. In 2022, Christmas retail sales reached 929.5 billion U.S. dollars. Furthermore, the amount of money that U.S. consumers plan to spend on gifts has fluctuated year to year. Gift shopping In the United States, consumers were more likely to select online stores when shopping for gifts for their loved ones. More than half of consumers in 2022 said that they were more likely to visit online retailers for holiday gifts. Mass retailers were also popular with half of respondents to the same survey. Most U.S. consumers would already begin their holiday shopping before Thanksgiving. Only a small fraction of consumers (nine percent) said they would start their holiday shopping in December.

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The online retail market share in the US is expected to increase to USD 460.13 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 11.64%.

The report extensively covers online retail market in the US segmentation by the following:

Product - Apparel, footwear, and accessories, consumer electronics and electricals, food and grocery, home furniture and furnishing, and others
Device - Smartphones and tablets and PCs

The US online retail market report offers information on several market vendors, including Amazon.com Inc., Apple Inc., Best Buy Co. Inc., Costco Wholesale Corp., eBay Inc., Kroger Co., Target Corp., The Home Depot Inc., Walmart Inc., and Wayfair Inc. among others.

This online retail market in the US research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches.

What will the Online Retail Market Size in the US be During the Forecast Period?

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Online Retail Market in the US: Key Drivers, Trends, and Challenges

The growing seasonal and holiday sales is notably driving the online retail market growth in the US, although factors such as transportation and logistics may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the online retail industry in the US. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key US Online Retail Market Driver

The growing seasonal and holiday sales is one of the key drivers supporting the US online retail market growth. For instance, from November 1 to December 24, e-commerce sales in the US increased by 11% in 2021, when compared to a massive 47.2% growth in the holiday season of 2020. E-commerce sales made up 20.9 % of total retail sales in the holiday season of 2021, slightly higher than 20.6 percent in 2020. Thanksgiving, Black Friday, and Cyber Monday are the days that see a high amount of online shopping. Apparel, footwear and accessories, consumer electronics, computer hardware, and toys are the largest gaining product categories during the holiday season. Consumers in the US spent $204.5 billion online in November and December 2021, up 8.6% over the same period in 2020. Such exciting sales and offers are driving the market growth.

Key US Online Retail Market Trend

Omni-channel retailing is one of the key US online retail market trends fueling the market growth. It is rapidly becoming the norm for many retailers in the US. It offers consumers the option to shop online and pick up the merchandise from the store nearest to their location on the same day. Retailers are observing a high web influence on their in-store sales. For instance, Best Buy is integrating its offline and online stores to boost revenues. As a part of its omnichannel strategy, the retailer is utilizing physical stores as distribution centers for online purchases. According to Best Buy, 40% of its online shoppers prefer picking up their purchases from physical stores. Best Buy also challenges online and discount retailers with its match-to-price strategy, claiming to offer gadgets at or below the price offered by competitors. Such strategies are expected to boost market growth during the forecast period.

Key US Online Retail Market Challenge

Transportation and logistics are some of the factors hindering the US online retail market growth. Product procurement or sourcing, shipment of ordered items, and delivery to customers are the three major processes where the intervention of transportation and logistics come into the picture. All these processes require a high investment of both time and money, which challenges the efficiency and effectiveness of retailers and their costing strategies. The higher cost incurred from transportation and logistics reduces the margin of retailers, and most of the time, retailers are unable to break even. Between rising fuel prices, driver shortages, as well as a governmental and societal push for increased digitization and sustainability, transport and logistics will continue to be under a lot of pressure. Such factors will negatively impact the market growth during the forecast period.

This online retail market in the US analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.

Who are the Major Online Retail Market Vendors in the US?

The report analyzes the market’s competitive landscape and offers information on sever

The value of online retail sales made during the holiday season in the United States is expected to increase to *** billion U.S. dollars in 2024. According to Statista estimates, the value of store-based sales are predicted to be around *** billion U.S. dollars. Almost one-third of all retail sales during the holiday season is expected to be through online sales in the United States in 2024.

Graph and download economic data for Retail Sales: Full Service Restaurants (MRTSSM7221USN) from Jan 1992 to Jan 2020 about restaurant, retail trade, sales, retail, services, and USA.

Data Overview

• Scale: All sales figures are reported in millions of dollars.
• Size: The dataset contains 40,479 rows and 5 columns.
• Time Frame: January 1992 - September 2024.
• Industries Covered: Over 60 industries, including food, clothing, footwear, office supplies, automobiles, electronics, books, beverages, furniture, grocery and many more.
• Attributes:
  • naics_code
  • kind_of_business
  • sales_month
  • sales
  • estimate_type
• Source: This dataset was sourced from the publicly available U.S. Census Bureau retail sales data.

Cleaning & Preprocessing

• Missing Values:
  Some entries contained (NA) and (S) values, which were converted to null values.
  • (S): Estimate does not meet publication standards due to high sampling variability (coefficient of variation greater than 30%) or poor response quality (low total quantity response rate).
• Formatting:
  The downloaded data included headings, subheadings, and notes embedded within the tables. These extraneous elements were removed to ensure a clean and consistent dataset.
• Data Compilation:
  The original dataset was spread across multiple sheets, with each sheet containing data for a specific year. These sheets were consolidated into a single, unified table.
• Feature Engineering:
  A new column was created to provide both seasonally adjusted and non-seasonally adjusted sales values, enabling more nuanced analysis. Estimates are adjusted for seasonal variations, as well as holiday and trading-day differences, but not for price changes.

Use Cases

This dataset can be applied to a variety of analytical and machine learning tasks, including:

• Data Cleaning: Practice handling missing values, stray entries, and working with datetime data.
• Time Series Analysis: Perform trend analysis, seasonality detection, and forecasting.
• Exploratory Data Analysis (EDA): Gain insights into industry-specific trends and patterns.
• Machine Learning: Use it for predictive modeling and classification tasks.
• Market Research: Analyze industry performance to inform business strategies.

In 2022, retail e-commerce holiday season sales in the United States amounted to about *** billion U.S. dollars. Forecasts suggest that in 2023, this figure will rise, reaching a total of ****** billion U.S. dollars during the holidays in the country.

The Black Friday sales event, traditionally held the day after Thanksgiving in the United States, has evolved into a global phenomenon, impacting the retail landscape significantly. The market demonstrates robust growth, with a Compound Annual Growth Rate (CAGR) – let's conservatively estimate this at 8% based on typical e-commerce growth and the enduring popularity of Black Friday – driving a substantial increase in market value year-over-year. This growth is fueled by several key drivers: the increasing adoption of e-commerce, aggressive promotional strategies employed by retailers, the growing influence of social media marketing in driving consumer behavior, and the increasing consumer expectation of significant discounts. Major players like Amazon, Walmart, Target, and Best Buy leverage their extensive online and offline infrastructure to capitalize on this event, while brands like Adidas, Puma, and H&M use Black Friday to clear inventory and boost holiday sales. The increasing prevalence of early Black Friday deals and extended promotional periods also contribute to the overall market expansion. However, the market faces certain restraints. Increasing competition among retailers necessitates highly competitive pricing strategies, potentially impacting profitability. Concerns about supply chain disruptions and logistics remain a challenge, affecting the timely delivery of goods and potentially impacting consumer satisfaction. Furthermore, evolving consumer preferences and a growing emphasis on sustainable and ethical consumption may influence purchasing decisions, requiring retailers to adapt their strategies accordingly. Segmentation reveals a diverse market, with different product categories (electronics, apparel, home goods) experiencing varying levels of growth and exhibiting distinct consumer behaviors. The geographical distribution of sales is likely skewed toward North America and Europe initially, but Asia and other regions are witnessing a rapid increase in Black Friday participation. The forecast period (2025-2033) anticipates continued growth, with the market value expected to increase significantly due to the factors mentioned above. This trend indicates a strong future for Black Friday sales, although retailers need to remain agile and adapt to changing consumer expectations and market dynamics.

In the United States, electronics is forecast to be the most lucrative product category for retail e-commerce sales during the 2024 holiday season, expected to generate about ** billion U.S. dollars. Apparel was forecast as the second highest earning category at **** billion U.S. dollars.

Redbook Index in the United States increased by 5.70 percent in the week ending August 9 of 2025 over the same week in the previous year. This dataset provides the latest reported value for - United States Redbook Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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Description:

One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc.

Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.

Acknowledgements

The dataset is taken from Kaggle.

Objective:

• Understand the Dataset & cleanup (if required).
• Build Regression models to predict the sales w.r.t single & multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.

Snapshot img

Department Stores Market Size 2025-2029

The department stores market size is forecast to increase by USD 55.2 billion at a CAGR of 5.1% between 2024 and 2029.

The market is experiencing significant growth, driven by urbanization and rising disposable income in both developed and emerging economies. This trend is leading to an increased focus on experiential retailing, as consumers seek unique shopping experiences that go beyond traditional product offerings. However, this growth is not without challenges. Regulatory hurdles, particularly in areas such as data privacy and labor laws, impact the adoption of new technologies and business models. Supply chain inconsistencies, due to the complex nature of department store operations, can also temper growth potential. Despite these challenges, there are opportunities for companies to capitalize on the shift towards experiential retailing by investing in smart home technology, such as smart home analytics, augmented reality, and personalized marketing, to enhance the shopping experience.
Additionally, strategic partnerships and collaborations can help department stores compete effectively with e-commerce giants, offering customers the convenience of online shopping with the benefits of brick-and-mortar experiences. Overall, the market presents both challenges and opportunities for companies seeking to navigate the evolving retail landscape and meet the changing demands of consumers.

What will be the Size of the Department Stores Market during the forecast period?

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In the dynamic department store market, holiday promotions and back-to-school shopping seasons significantly influence sales growth. Retailers employ targeted marketing strategies, utilizing customer data from retail analytics tools and loyalty programs to personalize offerings. Gift wrapping services and virtual try-on technology enhance the shopping experience, while contactless payments and mobile payment options ensure convenience. Efficient logistics operations streamline inventory management and delivery, ensuring seamless product availability. Sales associates and customer service representatives engage with clients through digital signage, interactive displays, and social media integration. 


Predictive analytics acts as a catalyst for seasonal sales and clearance events, driving optimized stock management. Brand collaborations and rewards programs boost customer loyalty, while apparel remains a key category, adapting to fashion trends and consumer demands. Style advice and product catalogs are accessible online, and pop-up shops offer unique shopping experiences. In-store pickup simplifies purchasing, and personalized recommendations cater to individual customer segments. Business intelligence drives operational efficiency, enabling retailers to adapt to market trends and consumer preferences.
EndFragment

How is this Department Stores Industry segmented?

The department stores 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.

Type

  Mainline store
  Discount store
  Specialty store
  E-department stores


Product

  Hardline and softline
  Apparel and accessories
  FMCG


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Type Insights

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

In the dynamic landscape of retail, department stores continue to play a significant role, offering a diverse range of merchandise and experiences. Data management platforms enable these establishments to analyze customer behavior and preferences, informing targeted marketing automation and cross-channel shopping initiatives. Discount retailers, with their competitive pricing, attract a broad customer base, while specialty goods and exclusive products cater to niche markets. Payment processing systems ensure seamless transactions, and shipping and delivery options cater to the evolving online shopping behavior. Social media marketing and customer feedback fuel engagement, with product reviews and returns and exchanges shaping consumer trust.

Loyalty programs and customer relationship management systems foster brand loyalty and retention. Brand differentiation through digital advertising and fashion trends is essential in the competitive market. Economic indicators and supply chain management influence inventory optimization and merchandising strategies. Store traffic and product displays cater to diverse customer demographics, with private label brands and inventory management systems enhancing profitability. Retail technology, including

Description:

One of the leading retail stores in the US, Walmart, would like to predict the sales and demand accurately. There are certain events and holidays which impact sales on each day. There are sales data available for 45 stores of Walmart. The business is facing a challenge due to unforeseen demands and runs out of stock some times, due to the inappropriate machine learning algorithm. An ideal ML algorithm will predict demand accurately and ingest factors like economic conditions including CPI, Unemployment Index, etc.

Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of all, which are the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the challenge presented by this competition is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data. Historical sales data for 45 Walmart stores located in different regions are available.

Acknowledgements

The dataset is taken from world.data

Objective:

• Understand the Dataset.
• Time Series Forecasting.
• Anomaly Detection.
• Build Regression models to predict the sales w.r.t single & multiple features.
• Also evaluate the models & compare their respective scores like R2, RMSE, etc.

Chocolate stores in the US have experienced a dynamic period marked by shifts in consumer preferences, economic fluctuations and evolving market trends. Over the past few years, the industry has seen challenges and opportunities, with a notable hike in demand for premium and artisanal chocolates. This surge has been fueled by a growing consumer interest in unique, high-quality products and an emphasis on ethical sourcing. The pandemic initially disrupted supply chains and store operations, but many chocolate retailers adapted by enhancing their online presence and offering delivery services. As a result, chocolate stores have recovered and found new ways to engage with their customers, setting the stage for continued growth. Still, revenue will weaken at a CAGR of 0.8% to $1.5 billion over the five years to 2024, including 0.5% growth in 2024 alone. Over the past five years, the chocolate store industry in the US has undergone significant transformation. In recent years, there has been a steady gain in the popularity of dark chocolate and health-conscious products, reflecting broader trends in consumer health awareness. This period also saw a swell in specialty chocolate shops focusing on bean-to-bar production, fair trade practices and unique flavor profiles. Despite economic uncertainties, many chocolate stores thrived by capitalizing on seasonal sales, holiday promotions and collaborations with other local businesses. The next five years promise continued evolution and potential growth for chocolate stores. Analysts anticipate that demand for premium and ethically sourced chocolates will keep rising as consumers become more discerning about the quality and origins of their food. Technological advancements, like blockchain for supply chain transparency and innovative packaging solutions, will enhance consumer trust and engagement. Also, as sustainability becomes a key focus, stores prioritizing eco-friendly practices will attract loyal customers. The future looks bright for the US chocolate store industry, with innovation and consumer preferences driving its trajectory. These factors are expected to cause revenue to grow at an estimated CAGR of 0.1% to $1.5 billion over the five years to 2029.

In 2023, holiday retail sales in the United States were estimated to reach approximately *** billion U.S. dollars. With a projected return rate of **** percent of total sales, nearly *** billion U.S. dollars' worth of merchandise was expected to be returned to U.S. retailers. Finally, of this amount, an estimated **** percent (or **** billion U.S. dollars) was expected to comprise fraudulent and abusive returns.

According to recent data, electronics retail is expected to see the biggest growth in retail sales over the 2023 holiday season with a *** percent growth from the previous years' holiday sales. Restaurants were not far behind with a *** percent increase compared to the 2022 holiday season. Jewelry, on the other hand, was predicted to see a decline from 2023 to 2022.