28 datasets found
  1. T

    US Retail Sales

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 17, 2025
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    TRADING ECONOMICS (2025). US Retail Sales [Dataset]. https://tradingeconomics.com/united-states/retail-sales
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 29, 1992 - Jun 30, 2025
    Area covered
    United States
    Description

    Retail Sales in the United States increased 0.60 percent in June of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

  3. T

    United States Retail Sales YoY

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Retail Sales YoY [Dataset]. https://tradingeconomics.com/united-states/retail-sales-annual
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1993 - Jun 30, 2025
    Area covered
    United States
    Description

    Retail Sales in the United States increased 3.90 percent in June of 2025 over the same month in the previous year. This dataset provides - United States Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. T

    Japan Retail Sales

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 29, 2025
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    TRADING ECONOMICS (2025). Japan Retail Sales [Dataset]. https://tradingeconomics.com/japan/retail-sales-annual
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1971 - May 31, 2025
    Area covered
    Japan
    Description

    Retail Sales in Japan increased 2.20 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Japan Retail Sales YoY - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  5. T

    Netherlands Retail Sales YoY

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 1, 2025
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    TRADING ECONOMICS (2025). Netherlands Retail Sales YoY [Dataset]. https://tradingeconomics.com/netherlands/retail-sales-annual
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 2005 - May 31, 2025
    Area covered
    Netherlands
    Description

    Retail Sales in Netherlands increased 2.20 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Netherlands Retail Sales YoY - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  6. Forecast revenue big data market worldwide 2011-2027

    • statista.com
    Updated Feb 13, 2024
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    Statista (2024). Forecast revenue big data market worldwide 2011-2027 [Dataset]. https://www.statista.com/statistics/254266/global-big-data-market-forecast/
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    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. With a share of 45 percent, the software segment would become the large big data market segment by 2027.

    What is Big data?

    Big data is a term that refers to the kind of data sets that are too large or too complex for traditional data processing applications. It is defined as having one or some of the following characteristics: high volume, high velocity or high variety. Fast-growing mobile data traffic, cloud computing traffic, as well as the rapid development of technologies such as artificial intelligence (AI) and the Internet of Things (IoT) all contribute to the increasing volume and complexity of data sets.

    Big data analytics

    Advanced analytics tools, such as predictive analytics and data mining, help to extract value from the data and generate new business insights. The global big data and business analytics market was valued at 169 billion U.S. dollars in 2018 and is expected to grow to 274 billion U.S. dollars in 2022. As of November 2018, 45 percent of professionals in the market research industry reportedly used big data analytics as a research method.

  7. m

    Cloud Computing Market Growth | Industry Analysis, Size & Forecast Report

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jul 7, 2025
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    Mordor Intelligence (2025). Cloud Computing Market Growth | Industry Analysis, Size & Forecast Report [Dataset]. https://www.mordorintelligence.com/industry-reports/cloud-computing-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2029
    Area covered
    Global
    Description

    Cloud Computing Market Growth | Industry Analysis, Size & Forecast Report

    Dataset updated: Jun 27, 2024

    Dataset authored and provided by: Mordor Intelligence

    License: https://www.mordorintelligence.com/privacy-policy

    Time period covered: 2019 - 2029

    Area covered: Global

    Variables measured: CAGR, Market size, Market share analysis, Global trends, Industry forecast

    Description: The Cloud Computing Market size is estimated at USD 0.68 trillion in 2024, and is expected to reach USD 1.44 trillion by 2029, growing at a CAGR of 16.40% during the forecast period (2024-2029).

    Report Attribute

    Study Period2019-2029
    Market Size (2024)USD 0.68 Trillion
    Market Size (2029)USD 1.44 Trillion
    CAGR (2024 - 2029)16.40%
    Fastest Growing MarketAsia Pacific
    Largest MarketNorth America

    Quantitative Units: Revenue in USD Billion, Volumes in Units, Pricing in USD

    Regions and Countries Covered:

    North AmericaUnited States, Canada
    EuropeGermany, United Kingdom, Italy, France, Russia, and Rest of Europe
    Asia-PacificIndia, China, Japan, South Korea, and Rest of Asia-Pacific
    Latin AmericaBrazil, Mexico, Argentina, and Rest of Latin America
    Middle East and AfricaBrazil, Mexico, Argentina, and the Rest of Middle East and Africa

    Industry Segmentation Covered:

    By Cloud Computing: IaaS, SaaS, PaaS

    By End-User: IT and Telecom, BFSI, Retail and Consumer Goods, Manufacturing, Healthcare, Media and Entertainment

    Market Players Covered: Amazon Web Services, Google LLC, Microsoft Corporation, Alibaba Cloud, and Salesforce

  8. T

    Canada Retail Sales YoY

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Canada Retail Sales YoY [Dataset]. https://tradingeconomics.com/canada/retail-sales-annual
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1992 - May 31, 2025
    Area covered
    Canada
    Description

    Retail Sales in Canada increased 4.90 percent in May of 2025 over the same month in the previous year. This dataset provides - Canada Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  9. Hungary GKI Forecast: Retail Trade Turnover: YoY

    • ceicdata.com
    Updated Jun 22, 2017
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    CEICdata.com (2017). Hungary GKI Forecast: Retail Trade Turnover: YoY [Dataset]. https://www.ceicdata.com/en/hungary/retail-trade-turnover-year-on-year-growth-forecast-gki-economic-research-co
    Explore at:
    Dataset updated
    Jun 22, 2017
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2015 - Dec 1, 2018
    Area covered
    Hungary
    Description

    GKI Forecast: Retail Trade Turnover: YoY data was reported at 104.000 % in 2019. This records an increase from the previous number of 6.500 % for 2018. GKI Forecast: Retail Trade Turnover: YoY data is updated yearly, averaging 5.800 % from Dec 2015 (Median) to 2019, with 5 observations. The data reached an all-time high of 104.000 % in 2019 and a record low of 4.700 % in 2016. GKI Forecast: Retail Trade Turnover: YoY data remains active status in CEIC and is reported by GKI Economic Research Co.. The data is categorized under Global Database’s Hungary – Table HU.H009: Retail Trade Turnover: Year on Year Growth: Forecast: GKI Economic Research Co..

  10. T

    Brazil Retail Sales YoY

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Brazil Retail Sales YoY [Dataset]. https://tradingeconomics.com/brazil/retail-sales-annual
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 2001 - May 31, 2025
    Area covered
    Brazil
    Description

    Retail Sales in Brazil increased 2.10 percent in May of 2025 over the same month in the previous year. This dataset provides - Brazil Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. D

    Object-Oriented Databases Software Market Report | Global Forecast From 2025...

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). Object-Oriented Databases Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-object-oriented-databases-software-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Object-Oriented Databases Software Market Outlook



    The global object-oriented databases software market size was valued at approximately USD 5 billion in 2023 and is projected to reach around USD 10 billion by 2032, marking a robust compound annual growth rate (CAGR) of 8% over the forecast period. The growth trajectory of this market is fueled by increasing demand for efficient data management solutions across various industries, which is driving the adoption of object-oriented databases. These databases are gaining traction due to their ability to handle complex data types and relationships, a necessity in today's data-driven landscape where the volume, velocity, and variety of data are continuously expanding.



    One of the primary growth factors for the object-oriented databases software market is the increasing complexity of data being generated in industries such as BFSI, healthcare, and IT. These sectors require advanced database solutions that can manage intricate data structures and relationships more effectively than traditional relational databases. With the rise of big data and the Internet of Things (IoT), enterprises need systems capable of handling large datasets with complex interconnections, driving the adoption of object-oriented databases. Additionally, the transition to digital platforms in sectors like retail and government, where customer interactions and services are increasingly digitized, further bolsters demand for these sophisticated database systems.



    Another significant driver is the advancement and integration of technologies such as artificial intelligence (AI) and machine learning (ML) within database systems. Object-oriented databases are particularly suited to support AI and ML applications due to their flexible schema design and ability to model real-world entities more naturally. This adaptability facilitates more efficient data processing and storage solutions, which are essential for harnessing insights from AI and ML initiatives. As organizations strive to become more data-driven, the need for databases that can seamlessly integrate with AI and ML technologies is becoming critical, thereby propelling the growth of the object-oriented databases software market.



    The proliferation of cloud-based solutions is also a significant factor contributing to market growth. Cloud deployment offers scalability, cost-efficiency, and accessibility, making it an attractive option for enterprises of all sizes. As businesses increasingly migrate their operations to the cloud to leverage these benefits, the demand for cloud-compatible object-oriented databases continues to rise. This shift not only supports the scalability requirements of large enterprises but also offers small and medium enterprises (SMEs) a cost-effective avenue to leverage advanced database technologies, thereby democratizing access to sophisticated data management tools.



    Regionally, North America leads the object-oriented databases software market, driven by the early adoption of cutting-edge technologies and a strong presence of major IT and software companies. The region's market is characterized by high investment in research and development, which supports the continuous evolution of database technologies. In Asia Pacific, rapid industrialization and digital transformation initiatives are accelerating market growth, with countries like China and India emerging as significant contributors. Europe follows closely, with a focus on technological innovation and regulatory support driving adoption. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual adoption, supported by increasing investments in IT infrastructure and digitalization efforts.



    Component Analysis



    In the object-oriented databases software market, the component segment is categorized into software and services. The software component is at the forefront, encompassing the core database solutions that facilitate data storage, retrieval, and management. These software solutions are designed to handle complex data types such as multimedia, spatial, and temporal data, which are increasingly prevalent in modern applications. The ability to represent real-world entities more naturally within the database architecture is a distinctive advantage that supports the growing preference for object-oriented databases over traditional models. As industries continue to evolve and digitalize, the demand for robust software solutions that can cater to complex application requirements is expected to remain strong, driving growth within this segment.



    Complementing the software component is the critical

  12. m

    Luxury Watch Market Analysis | Industry Forecast, Size & Report Insights

    • mordorintelligence.com
    • mordorintelligence.ar
    • +1more
    pdf,excel,csv,ppt
    Updated Jul 14, 2025
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    Mordor Intelligence (2025). Luxury Watch Market Analysis | Industry Forecast, Size & Report Insights [Dataset]. https://www.mordorintelligence.com/industry-reports/luxury-watch-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

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

    Time period covered
    2019 - 2029
    Area covered
    Global
    Description

    Luxury Watch Market Analysis | Industry Forecast, Size & Report Insights

    Dataset updated: Jun 27, 2024

    Dataset authored and provided by: Mordor Intelligence

    License: https://www.mordorintelligence.com/privacy-policy

    Time period covered: 2019 - 2029

    Area covered: Global

    Variables measured: CAGR, Market size, Market share analysis, Global trends, Industry forecast

    Description: The Luxury Watch Market size is estimated at USD 51.31 billion in 2024, and is expected to reach USD 68.17 billion by 2029, growing at a CAGR of 5.84% during the forecast period (2024-2029)

    Quantitative Units: Revenue in USD Billion, Volumes in Units, Pricing in USD

    Regions and Countries Covered (from Scope of Report):

    • North America: United States, Canada, Mexico, Rest of North America
    • Europe: Germany, United Kingdom, France, Italy, Russia, Spain, Rest of Europe
    • Asia-Pacific: India, China, Australia, Japan, Rest of Asia-Pacific
    • South America: Brazil, Argentina, Rest of South America
    • Middle East & Africa: United Arab Emirates, South Africa, Rest of Middle East & Africa

    Industry Segmentation Covered (from Scope of Report):

    Type: Quartz or Mechanical Watch, Digital Watch

    End User: Women, Men, Unisex

    Distribution Channel: Online Retail Stores, Offline Retail Stores

    Market Players Covered: Rolex SA, The Swatch Group Ltd, Compagnie Financiere Richemont SA, Patek Philippe SA, and Audemars Piguet.

    Market Estimates and Report Statistics

    Report AttributeKey Statistics
    Study Period2019-2029
    Market Size (2024)USD 51.31 Billion
    Market Size (2029)USD 68.17 Billion
    CAGR (2024 - 2029)5.84%
    Fastest Growing MarketSouth America
    Largest MarketAsia Pacific

    By Product Type

    Product TypeMarket Size Data Available fromCAGR % (2024-2029), Revenue in USD Million
    Quartz/ Mechanical Luxury Watches2019 to 2029x%
    Digital Luxury Watches2019 to 2029x%
    Total2019 to 20295.84%

    By End User

    End UserMarket Size Data Available fromCAGR % (2024-2029), Revenue in USD Million
    Men’s Luxury Watches2019-2029x%
    Women’s Luxury Watches2019-2029x%
    Unisex Luxury Watches2019-20296.90%
    Total2019-2029x%

    By Distribution Channel

    Distribution ChannelMarket Size Data Available fromCAGR % (2024-2029), Revenue in USD Million
    Offline Retail Stores2019-20294.13%
    Online Retail Stores2019-2029x%
    Total2019-2029x%

    Luxury Watch Sales by Region

    RegionStudy PeriodCAGR % (2024-2029), Revenue in USD Million
    North America2019-2029x%
    Europe2019-2029x%
    Asia Pacific2019-2029x%
    South America2019-2029x%
    Middle East & Africa2019-2029x%
    Total2019-20295.84%
  13. S

    Shelf Display Trays Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 30, 2025
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    Archive Market Research (2025). Shelf Display Trays Report [Dataset]. https://www.archivemarketresearch.com/reports/shelf-display-trays-105150
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 30, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global shelf display trays market is experiencing robust growth, driven by the increasing demand for efficient point-of-sale (POS) displays in retail settings. The market is projected to reach a significant size, with a substantial Compound Annual Growth Rate (CAGR) over the forecast period (2025-2033). This expansion is fueled by several key factors: the rise of organized retail, the increasing adoption of innovative display solutions to enhance product visibility and sales, and the growing preference for eco-friendly and sustainable packaging materials. The market is segmented by material (plastic and metal) and application (hypermarkets, supermarkets, departmental stores, malls, retail shops, and others). The plastic segment currently holds the larger market share due to its cost-effectiveness and versatility, while the metal segment is expected to witness growth driven by its durability and premium appeal. Geographically, North America and Europe are currently leading the market, driven by established retail infrastructure and consumer demand. However, the Asia-Pacific region is poised for significant growth due to rapid economic development and expansion of retail chains in emerging markets. The competitive landscape is characterized by a mix of global and regional players, with key companies focusing on product innovation and strategic partnerships to expand their market share. The continuous innovation in display tray designs and materials plays a crucial role in the market's growth trajectory. For instance, the introduction of trays with improved structural integrity, enhanced visibility features, and customizable designs cater to the evolving needs of retailers. Furthermore, the increasing emphasis on sustainability is driving demand for recyclable and biodegradable trays. Challenges such as fluctuating raw material prices and intense competition among manufacturers might pose certain limitations to the market's growth. However, the overall outlook for the shelf display trays market remains positive, with significant opportunities for growth in various regions and across different segments. Market forecasts indicate a continued increase in market size, supported by the aforementioned growth drivers and sustained demand. While specific numerical projections are unavailable without the complete dataset, a CAGR of around 5-7% for the forecast period seems reasonable based on industry trends. This translates to a substantial increase in market value over the next decade.

  14. T

    France Retail Sales YoY

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Aug 3, 2015
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    TRADING ECONOMICS (2015). France Retail Sales YoY [Dataset]. https://tradingeconomics.com/france/retail-sales-annual
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Aug 3, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1994 - May 31, 2025
    Area covered
    France
    Description

    Retail Sales in France increased 0.20 percent in May of 2025 over the same month in the previous year. This dataset provides - France Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. T

    Poland Retail Sales YoY

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 24, 2025
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    TRADING ECONOMICS (2025). Poland Retail Sales YoY [Dataset]. https://tradingeconomics.com/poland/retail-sales-annual
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Nov 30, 2004 - Jun 30, 2025
    Area covered
    Poland
    Description

    Retail Sales in Poland increased 2.20 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Poland Retail Sales YoY - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  16. w

    Global Real Time Database Market Research Report: By Deployment Type...

    • wiseguyreports.com
    Updated Aug 6, 2024
    + more versions
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Real Time Database Market Research Report: By Deployment Type (Cloud-Based, On-Premises), By Data Model (Key-Value Stores, Document Databases, Wide Column Stores, Graph Databases), By Access Type (Read-Only, Read-Write, Write-Only), By Application (IoT, Financial Services, Healthcare, Retail, Manufacturing), By Database Type (Relational Database, NoSQL Database) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/real-time-database-market
    Explore at:
    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 8, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20231.78(USD Billion)
    MARKET SIZE 20241.95(USD Billion)
    MARKET SIZE 20324.09(USD Billion)
    SEGMENTS COVEREDDeployment Type ,Data Model ,Access Type ,Application ,Database Type ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICS1 Increasing adoption of IoT devices 2 Growing demand for realtime analytics 3 Need for improved customer experience 4 Emergence of cloudbased realtime databases 5 Rise of data privacy and security concerns
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDMongoDB ,Salesforce ,ScyllaDB ,FaunaDB ,Oracle ,Microsoft ,SAP ,Cockroach Labs ,Firebase ,MariaDB ,Google Cloud ,Redis Labs ,Amazon Web Services ,IBM ,Alibaba Cloud
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESGrowing adoption of IoT and connected devices Increasing demand for realtime data analytics Expanding use cases in various industries Emergence of edge computing and 5G networks Focus on realtime customer engagement
    COMPOUND ANNUAL GROWTH RATE (CAGR) 9.68% (2025 - 2032)
  17. Data AI Training Dataset Market Demand, Size and Competitive Analysis |...

    • techsciresearch.com
    Updated May 15, 2024
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    TechSci Research (2024). Data AI Training Dataset Market Demand, Size and Competitive Analysis | TechSci Research [Dataset]. https://www.techsciresearch.com/report/data-ai-training-dataset-market/19499.html
    Explore at:
    Dataset updated
    May 15, 2024
    Dataset provided by
    TechSci Research Pvt Ltd
    Authors
    TechSci Research
    License

    https://www.techsciresearch.com/privacy-policy.aspxhttps://www.techsciresearch.com/privacy-policy.aspx

    Description

    The market was valued at USD 1.76 billion in 2023 and is projected to register a compound annual growth rate of 23.59% during the forecast period 2029F.

    Pages185
    Market Size2023: USD 1.76 billion
    Forecast Market Size2029: USD 6.33 billion
    CAGR2024-2029:23.59%
    Fastest Growing SegmentBFSI
    Largest MarketNorth America
    Key Players1. Appen Limited 2. Cogito Tech LLC 3. Lionbridge Technologies, Inc 4. Google, LLC 5. Microsoft Corporation 6. Scale AI Inc. 7. Deep Vision Data 8. Anthropic, PBC. 9. CloudFactory Limited 10. Globalme Localization Inc

  18. The global AI-Based Personalized Stylist market size will be USD 101.5...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 15, 2025
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    Cognitive Market Research (2025). The global AI-Based Personalized Stylist market size will be USD 101.5 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/ai-based-personalized-stylist-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 15, 2025
    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 AI-based personalised Stylist market size will be USD 101.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 38.30% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 40.60 million in 2024 and will grow at a compound annual growth rate (CAGR) of 36.5% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 30.45 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 23.35 million in 2024 and will grow at a compound annual growth rate (CAGR) of 40.3% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 5.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 37.7% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 2.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 38.0% from 2024 to 2031.
    The mobile apps category is the fastest growing segment of the AI-Based Personalized Stylist industry
    

    Market Dynamics of AI-Based Personalized Stylist Market

    Key Drivers for AI-Based Personalized Stylist Market

    Rising Demand for Personalized Fashion Recommendations to Boost Market Growth

    The market for personalized fashion recommendations is being driven by several key factors; The development of sophisticated algorithms that analyze vast amounts of consumer data (browsing habits, purchase history, body measurements, and even social media activity) enables more accurate and relevant fashion recommendations. This technological evolution is a key factor driving growth. Providing accurate and effective personalized recommendations relies on the quality of consumer data. Retailers may struggle with integrating data from different sources, leading to less effective personalization efforts and customer dissatisfaction. These drivers and restraints are shaping the growth trajectory of personalized fashion recommendations, as companies navigate the balance between innovation and addressing consumer concerns. For instance, to advance its personal recommendation technology, Lily AI raised capital in 2020. Personalized e-commerce experiences are presented by Lily AI through the use of "deep product data and anonymized customer behavior data," the business claimed. It has raised $12.5 million in Series A funding.

    Advancements in machine learning algorithms

    The availability of big datasets, advances in deep learning architectures, and rising computing power are the main forces behind developing machine learning algorithms. Scalable, rapid model training is made possible by distributed systems and cloud computing. The need for increasingly complex algorithms is fueled by the growth of artificial intelligence (AI) in sectors including healthcare, finance, and autonomous systems. Furthermore, data accessibility, open-source frameworks, and rising research and development expenditures in artificial intelligence fuel ongoing innovation and the real-world use of sophisticated machine learning models.

    Restraint Factor for the AI-Based Personalized Stylist Market

    High development costs limit accessibility for small-scale fashion retailers

    Small-scale fashion stores have a considerable obstacle in the form of high development costs, which restrict their access to cutting-edge technologies and creative design methodologies. These merchants frequently have tight budgets, making it difficult for them to invest in cutting-edge production equipment, eco-friendly materials, and online marketing and sales platforms. Their growth potential is further limited by significant expenses related to supply chain management, branding, and scalability, which puts them at a disadvantage compared to larger, more financially stable competitors.

    Key Trends for the AI-Based Personalized Stylist Market

    Growing Demand for Hyper-Personalized Fashion

    Consumers increasingly seek AI stylists that offer outfit suggestions tailored to their style, body type, and preferences. These tools use data-driven insights to deliver quick, customized looks, appealing especially to Gen Z and Millennial users looking for convenience and individuality in fashion choices.

    In...

  19. T

    Vietnam Retail Sales YoY

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 5, 2025
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    TRADING ECONOMICS (2025). Vietnam Retail Sales YoY [Dataset]. https://tradingeconomics.com/vietnam/retail-sales-yoy
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 2002 - Jun 30, 2025
    Area covered
    Vietnam
    Description

    Retail Sales in Vietnam increased 8.30 percent in June of 2025 over the same month in the previous year. This dataset provides - Vietnam Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  20. T

    Turkey Retail Sales YoY

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 12, 2025
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    TRADING ECONOMICS (2025). Turkey Retail Sales YoY [Dataset]. https://tradingeconomics.com/turkey/retail-sales-annual
    Explore at:
    xml, csv, json, excelAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 2006 - May 31, 2025
    Area covered
    Türkiye
    Description

    Retail Sales in Turkey increased 17.70 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Turkey Retail Sales YoY - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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TRADING ECONOMICS (2025). US Retail Sales [Dataset]. https://tradingeconomics.com/united-states/retail-sales

US Retail Sales

US Retail Sales - Historical Dataset (1992-02-29/2025-06-30)

Explore at:
csv, xml, excel, jsonAvailable download formats
Dataset updated
Jul 17, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Feb 29, 1992 - Jun 30, 2025
Area covered
United States
Description

Retail Sales in the United States increased 0.60 percent in June of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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