9 datasets found
  1. U.S. retailer expectations regarding coronavirus impact on business 2020

    • statista.com
    Updated Sep 15, 2020
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    Statista (2020). U.S. retailer expectations regarding coronavirus impact on business 2020 [Dataset]. https://www.statista.com/statistics/1104216/us-coronavirus-e-retail-expectations-estimate/
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    Dataset updated
    Sep 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    United States
    Description

    According to a March 2020 survey of U.S. retailers and their expectations regarding the impact of the coronavirus on their business, a total of ** percent of respondents stated that they expected production delays and nearly as many responding retailers were worried about the strength of consumer confidence and the impact it might have on revenue. A fifth of U.S. retailers expected increases in e-commerce sales due to social isolating practices and more people choosing to making purchases online instead of risking infection through in-store shopping.

  2. Retail store closings in the U.S. 2019, by retail chain

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Retail store closings in the U.S. 2019, by retail chain [Dataset]. https://www.statista.com/statistics/385850/brick-and-mortar-retail-store-closings-in-the-us-by-retail-chain/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    This statistic shows the number of retail store closures in the United States in 2019, by retail chain. In that year, Payless ShoeSource had plans to close ***** stores in the United States.

  3. Retail store openings and closings in the U.S. 2017-2019

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Retail store openings and closings in the U.S. 2017-2019 [Dataset]. https://www.statista.com/statistics/757160/retail-store-opening-closing/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    This statistic shows the number of retail stores that closed and opened in the United States from 2017 to 2019. In 2019, there were ****** new retail stores opened and ***** stores closed with a net gain of ***** stores.

  4. The Global Unmanned Convenience Store Market size was USD 69.8 million in...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jul 19, 2023
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    Cognitive Market Research (2023). The Global Unmanned Convenience Store Market size was USD 69.8 million in 2023! [Dataset]. https://www.cognitivemarketresearch.com/unmanned-convenience-store-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 19, 2023
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Unmanned Convenience Store Market size is USD 69.8 million in 2023 and will grow at a compound annual growth rate (CAGR) of 50.2% from 2023 to 2030.

    Urbanization is fueling demand for Unmanned Convenience Stores due to limited and costly urban retail space. These compact, staff-minimized stores are a practical solution, allowing retailers to optimize urban space. This trend is driven by urbanization and boosts the proliferation of unmanned convenience stores as a space-efficient retail model.
    The trend of Unmanned Convenience Stores is being driven by urbanization, which results in a heightened demand for compact, personnel-efficient retail spaces in densely populated urban areas, effectively optimizing available space.
    The fastest-growing segment is Semi-automated Unmanned Convenience Stores, offering a balance between automation and personal customer service, making them cost-effective and accessible for both retailers and consumers.
    Asia Pacific will continue to lead, whereas China's Unmanned Convenience Store Market will experience the strongest growth until 2030.
    

    Rapid Advancements in Technology is Fueling Growth in the Unmanned Convenience Store Market

    Rapid advancements in technology, particularly in automation, artificial intelligence, and mobile applications, are driving the growth of the Unmanned Convenience Store Market. These innovations enable the development of sophisticated unmanned store systems that offer seamless shopping experiences. As a result, consumers are increasingly drawn to the convenience of unmanned stores, leading to higher foot traffic and sales. Additionally, technology-driven inventory management and checkout processes reduce operational costs, making unmanned stores economically attractive for retailers.

    Growing Urbanization will Act as a Catalyst for Unmanned Convenience Stores Market
    

    Urbanization is leading to increased demand for Unmanned Convenience Stores. As more people move to urban areas, retail space becomes limited and expensive. Unmanned stores, which require less physical space and fewer personnel, are a practical solution. Retailers can set up these stores in densely populated urban areas, optimizing the use of available space. The cause of urbanization drives this trend and, in turn, causes the proliferation of unmanned convenience stores as a space-efficient retail model.

    Advancements in technology such as AI and RFID
    

    Market Dynamics of the Unmanned Convenience Store

    Regulatory Barriers and Privacy Concerns to Limit Market Expansion
    

    Regulatory barriers and privacy apprehensions present substantial obstacles to the unmanned convenience store market. Governments and regulatory authorities are facing the challenge of formulating robust regulations to protect consumer rights, ensure data privacy, and promote fair competition. Uncertainty surrounding regulations may dissuade potential investors and retailers from entering the market, resulting in delays in its growth. Additionally, privacy concerns can erode consumer trust, diminishing their willingness to patronize unmanned convenience stores, thereby limiting the market's overall growth potential.

    Impact of COVID–19 on the Unmanned Convenience Store Market

    In an urban landscape, distinct zones emerge to serve various functions. The commercial district stands as a bustling hub of economic activity, hosting an array of businesses, shops, and offices. In contrast, the residential district is a tranquil haven where homes and apartments provide shelter and comfort to the city's inhabitants. Besides these primary zones, there are other specialized areas, each with its unique purpose. These "other" zones encompass spaces like industrial areas, recreational zones, and public facilities that contribute to the city's overall functionality and offer diversity to its residents. Together, these distinct districts form the intricate tapestry of urban life, catering to the diverse needs of its populace. Introduction of The Unmanned Convenience Store market

    Technological advances in automation, AI, and mobile apps drive Unmanned Convenience Store Market growth. These innovations create sophisticated unmanned stores, boosting foot traffic and sales, while cost-effective inventory management and checkout processes attract retailers. Urbanization is boosting demand for Unmanne...

  5. Mallinckrodt in Debt Over Opioid Crisis, Seeks Payment Delay (Forecast)

    • kappasignal.com
    Updated Jun 15, 2023
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    KappaSignal (2023). Mallinckrodt in Debt Over Opioid Crisis, Seeks Payment Delay (Forecast) [Dataset]. https://www.kappasignal.com/2023/06/mallinckrodt-in-debt-over-opioid-crisis.html
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    Dataset updated
    Jun 15, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Mallinckrodt in Debt Over Opioid Crisis, Seeks Payment Delay

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  6. Share of retailers with delivery problems Germany 2023, by industry

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Share of retailers with delivery problems Germany 2023, by industry [Dataset]. https://www.statista.com/statistics/1493426/retailers-delivery-problems-by-industry-germany/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2023
    Area covered
    Germany
    Description

    In 2023, around ** percent of food retailers in Germany had experienced delivery problems. Roughly ** percent of businesses in the automotive trade faced these challenges as well. Delivery problems could be due to delays or supply shortages.

  7. Department Stores in the UK - Market Research Report (2015-2030)

    • img3.ibisworld.com
    Updated Apr 13, 2025
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    IBISWorld (2025). Department Stores in the UK - Market Research Report (2015-2030) [Dataset]. https://img3.ibisworld.com/united-kingdom/market-research-reports/department-stores-industry/
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    Dataset updated
    Apr 13, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United Kingdom
    Description

    UK department stores face mounting pressure amid weak household incomes, high inflation, and shifting consumer habits. Sales of luxury goods have declined as middle-income shoppers rein in discretionary spending, while the loss of tax-free shopping for tourists has dented international sales. High-profile closures highlight sector fragility. However, innovation is driving survival. Retailers like M&S and John Lewis are thriving by offering high-quality and affordable goods. The rise of eco-conscious consumers is pushing stores to embrace sustainability through resale, rental, and repair services. Beauty departments have benefited from the “lipstick effect,” with prestige fragrance sales soaring despite broader spending cutbacks. Independent department stores are enjoying a revival, capitalising on strong community ties and unique, experience-led offerings. The sector’s future hinges on blending heritage with modern convenience, sustainability, and experiential value to attract the next generation of UK shoppers. Over the five years through 2024-25, department stores' revenue is forecast to drop at a compound annual rate of 5.7% to £31.6 billion, including a 0.9% dip in 2024-25. Over the five years through 2029-30, department stores' revenue is forecast to grow at a compound annual rate of 2.1% to reach £42.6 billion. UK department stores face rising cost pressures, with the April 2025 National Living Wage increase and higher National Insurance contributions squeezing margins. Some, like M&S and John Lewis, aim to absorb these costs through supply chain efficiencies rather than raising prices, but many retailers may resort to staff cuts or automation. Online rivals continue to dominate, forcing department stores to upgrade digital experiences. Cart abandonment, delivery delays, and forced account creation remain key friction points. To compete, retailers are investing in loyalty schemes and personalisation, with experiential rewards and tailored promotions proving effective. Physical stores remain vital—especially for shoppers who value experience. Successful department stores now focus on immersive, multi-channel strategies, blending heritage, innovation, and convenience to retain relevance in a fast-changing retail landscape.

  8. Book Stores in Australia - Market Research Report (2015-2030)

    • ibisworld.com
    Updated May 8, 2025
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    IBISWorld (2025). Book Stores in Australia - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/australia/industry/book-stores/5496
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Australia
    Description

    It hasn't been a happy tale for book stores, with discount department stores capitalising on bulk buying tactics to offer books at discounted prices. With major retailers like Kmart and Target placing books strategically in high-traffic areas, impulse buys have surged. This strategy, combined with a focus on best sellers and popular titles, has allowed these retailers to capture a significant market share, accounting for 33% of book sales in 2023. As consumers seek affordable options amid rising living costs, discount department stores have effectively challenged traditional bookstores by providing both convenience and competitive pricing. Book stores have grappled with various challenges over the past five years, exacerbated by the COVID-19 pandemic. Initial lockdowns sparked a resurgence in reading, boosting online sales for those with digital platforms. Nevertheless, competition from online retailers and libraries intensified as consumers turned to digital content when physical stores faced restrictions. Supply chain disruptions further strained bookstores, as delays and increased production costs impacted inventory availability. Despite these hurdles, book stores have managed to edge their way back to profitability by enhancing customer service and focusing on their product range, showing resilience in a volatile market. Overall, book store revenue has been falling at an annualised 5.9% over the past five years and is expected to total $1.7 billion in 2024-25, when revenue will slide by an estimated 2.8%. Looking ahead, book stores are set to benefit from improving retail conditions. Stabilising inflation and potential rate cuts are expected to boost consumer spending power, allowing more discretionary purchases, including books. The shift towards omni-channel retailing will likely continue, with bookstores investing more in digital platforms and leveraging social media to engage consumers and drive sales. By offering curated selections and diversifying product lines, book stores aim to differentiate themselves from discount department stores and cater to niche markets. Although print books are set to maintain strong demand, growth in audiobooks will stem from meeting the lifestyle needs of modern consumers. Overall, book store revenue is forecast to dip at an annualised 1.5% over the five years through 2029-30 to total $1.6 billion.

  9. Marine Equipment Retailing in Australia - Market Research Report (2015-2030)...

    • ibisworld.com
    Updated Oct 15, 2024
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    IBISWorld (2024). Marine Equipment Retailing in Australia - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/au/industry/marine-equipment-retailing/421/
    Explore at:
    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2014 - 2029
    Area covered
    Australia
    Description

    The marine equipment retailers’ fortunes have fluctuated over recent years. Pandemic restrictions spurred a renewed interest in recreational boating during the early years, as consumers traded international travel for holidays on the water. This surge in interest drove a sharp upswing in demand for marine equipment, from paddle crafts to powerboats. However, the boom also caused supply challenges, with manufacturing slowdowns and logistical delays affecting product availability. Sales slumped in the post-pandemic environment, with rising inflation and stronger interest rates leaving consumers with less money for big-ticket purchases. Overall industry revenue is expected to rise at an annualised 3.2% over the five years through 2024-25. This includes an estimated rise of 3.5% in the current year to $2.6 billion, owing to an anticipated improvement in interest rates and stronger discretionary income. Grey imports have been a persistent problem for local retailers. Minimal restrictions and a stronger Australian dollar have made grey imports a viable alternative for consumers in the market for marine equipment. Buyers have also benefited from competitive pricing, with the stronger Australian dollar helping to absorb an upswing in retailer purchase costs. Despite changing retail trade conditions, demand for both new and used marine equipment has enabled retailers to maintain product margins, leading to a small hike in profitability. Looking forwards, industry revenue is set to climb at an annualised 1.7% over the five years through 2029-30, to $2.8 billion. Economic recovery and stronger average weekly earnings will fuel an upswing in real household discretionary income, boosting the affordability of big-ticket items like marine equipment. Reduced working hours and more leisure time will also support continued interest in recreational boating. However, retailers will face ongoing challenges from grey imports, especially if the Australian dollar continues to appreciate. Mounting competition may, in turn, lead to market consolidation.

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2020). U.S. retailer expectations regarding coronavirus impact on business 2020 [Dataset]. https://www.statista.com/statistics/1104216/us-coronavirus-e-retail-expectations-estimate/
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U.S. retailer expectations regarding coronavirus impact on business 2020

Explore at:
Dataset updated
Sep 15, 2020
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 2020
Area covered
United States
Description

According to a March 2020 survey of U.S. retailers and their expectations regarding the impact of the coronavirus on their business, a total of ** percent of respondents stated that they expected production delays and nearly as many responding retailers were worried about the strength of consumer confidence and the impact it might have on revenue. A fifth of U.S. retailers expected increases in e-commerce sales due to social isolating practices and more people choosing to making purchases online instead of risking infection through in-store shopping.

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