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Global Big Data Analytics in Retail Market Size, Status and Forecast 2021-2027


Big data is a massive volume of structured and unstructured data stored on daily basis. Big data analytics technique is used to search hidden patterns, market trends, and other useful information that may help organizations to take effective business decisions.

In 2021, the global Big Data Analytics in Retail market size will be US$ 3415.6 million and it is expected to reach US$ 8766.1 million by the end of 2027, with a CAGR of 17.0% during 2021-2027.
This report focuses on the global Big Data Analytics in Retail status, future forecast, growth opportunity, key market, and key players. The study objectives are to present the Big Data Analytics in Retail development in North America, Europe, Japan, China, Southeast Asia, India, etc.

Global Big Data Analytics in Retail Scope and Market Size
Big Data Analytics in Retail market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Big Data Analytics in Retail market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type
    Software & Service
    Platform

Segment by Application
    Merchandising & In-store Analytics
    Marketing & Customer Analytics
    Supply Chain Analytics
    Others

By Region
    North America
    Europe
    Japan
    China
    Southeast Asia
    India

By Company
    IBM
    SAP
    Microsoft
    Oracle
    SAS
    Adobe
    Microstrategy
    Information Builders
    Tableau Software
    Qlik Technologies
    RetailNext
    Duozhun
1 Report Overview
    1.1 Study Scope
    1.2 Market Analysis by Type
        1.2.1 Global Big Data Analytics in Retail Market Size Growth Rate by Type (2021-2027)
        1.2.2 Software & Service
        1.2.3 Platform
    1.3 Market by Application
        1.3.1 Global Big Data Analytics in Retail Market Share by Application (2021-2027)
        1.3.2 Merchandising & In-store Analytics
        1.3.3 Marketing & Customer Analytics
        1.3.4 Supply Chain Analytics
        1.3.5 Others
    1.4 Study Objectives
    1.5 Years Considered

2 Executive Summary
    2.1 Global Big Data Analytics in Retail Market Size
     2.2 Big Data Analytics in Retail Market Size by Regions
        2.2.1 Big Data Analytics in Retail Growth Rate by Regions (2021-2027)
        2.2.2 Big Data Analytics in Retail Market Share by Regions (2021-2027)
    2.3 Industry Trends
        2.3.1 Market Top Trends
        2.3.2 Market Use Cases

3 Key Players
    3.1 Big Data Analytics in Retail Revenue by Players (2020-2021)
    3.2 Big Data Analytics in Retail Key Players Headquaters and Area Served
    3.3 Key Players Big Data Analytics in Retail Product/Solution/Service
    3.4 Date of Enter into Big Data Analytics in Retail Market
    3.5 Mergers & Acquisitions, Expansion Plans

4 Breakdown by Type and by Application
    4.1 Global Big Data Analytics in Retail Market Size by Type (2021-2027)
    4.2 Global Big Data Analytics in Retail Market Size by Application (2021-2027)

5 North America
   5.1 North America Big Data Analytics in Retail Market Forecast (2021-2027)
    5.2 Big Data Analytics in Retail Key Players in North America
    5.3 North America Big Data Analytics in Retail Market Size by Type
    5.4 North America Big Data Analytics in Retail Market Size by Application
        6.4.4 Canada

6 Europe
    6.1 Europe Big Data Analytics in Retail Market Forecast (2021-2027)
    6.2 Big Data Analytics in Retail Key Players in Europe
    6.3 Europe Big Data Analytics in Retail Market Size by Type
    6.4 Europe Big Data Analytics in Retail Market Size by Application

7 Japan
    7.1 Japan Big Data Analytics in Retail Market Forecast (2021-2027)
    7.2 Big Data Analytics in Retail Key Players in Europe
    7.3 Japan Big Data Analytics in Retail Market Size by Type
    7.4 Japan Big Data Analytics in Retail Market Size by Application

8 Rest of World
    8.1 China
        8.1.1 China Big Data Analytics in Retail Market Analysis
        8.1.2 Key Players in China
    8.2 Southeast Asia
        8.2.1 Southeast Asia Big Data Analytics in Retail Market Analysis
        8.2.2 Key Players in Southeast Asia
    8.3 India
        8.3.1 India Big Data Analytics in Retail Market Analysis
        8.3.2 Key Players in India


9 International Player Profiles
    9.1 IBM
        9.1.1 IBM Company Details
        9.1.2 IBM Description and Business Overview
        9.1.3 IBM Big Data Analytics in Retail Introduction
        9.1.4 IBM Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.1.5 IBM Recent Development
    9.2 SAP
        9.2.1 SAP Company Details
        9.2.2 SAP Description and Business Overview
        9.2.3 SAP Big Data Analytics in Retail Introduction
        9.2.4 SAP Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.2.5 SAP Recent Development
    9.3 Microsoft
        9.3.1 Microsoft Company Details
        9.3.2 Microsoft Description and Business Overview
        9.3.3 Microsoft Big Data Analytics in Retail Introduction
        9.3.4 Microsoft Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.3.5 Microsoft Recent Development
    9.4 Oracle
        9.4.1 Oracle Company Details
        9.4.2 Oracle Description and Business Overview
        9.4.3 Oracle Big Data Analytics in Retail Introduction
        9.4.4 Oracle Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.4.5 Oracle Recent Development
    9.5 SAS
        9.5.1 SAS Company Details
        9.5.2 SAS Description and Business Overview
        9.5.3 SAS Big Data Analytics in Retail Introduction
        9.5.4 SAS Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.5.5 SAS Recent Development
    9.6 Adobe
        9.6.1 Adobe Company Details
        9.6.2 Adobe Description and Business Overview
        9.6.3 Adobe Big Data Analytics in Retail Introduction
        9.6.4 Adobe Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.6.5 Adobe Recent Development
    9.7 Microstrategy
        9.7.1 Microstrategy Company Details
        9.7.2 Microstrategy Description and Business Overview
        9.7.3 Microstrategy Big Data Analytics in Retail Introduction
        9.7.4 Microstrategy Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.7.5 Microstrategy Recent Development
    9.8 Information Builders
        9.8.1 Information Builders Company Details
        9.8.2 Information Builders Description and Business Overview
        9.8.3 Information Builders Big Data Analytics in Retail Introduction
        9.8.4 Information Builders Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.8.5 Information Builders Recent Development
    9.9 Tableau Software
        9.9.1 Tableau Software Company Details
        9.9.2 Tableau Software Description and Business Overview
        9.9.3 Tableau Software Big Data Analytics in Retail Introduction
        9.9.4 Tableau Software Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.9.5 Tableau Software Recent Development
    9.10 Qlik Technologies
        9.10.1 Qlik Technologies Company Details
        9.10.2 Qlik Technologies Description and Business Overview
        9.10.3 Qlik Technologies Big Data Analytics in Retail Introduction
        9.10.4 Qlik Technologies Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.10.5 Qlik Technologies Recent Development
    9.11 RetailNext
        9.11.1 RetailNext Company Details
        9.11.2 RetailNext Description and Business Overview
        9.11.3 RetailNext Big Data Analytics in Retail Introduction
        9.11.4 RetailNext Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.11.5 RetailNext Recent Development
    9.12 Duozhun
        9.12.1 Duozhun Company Details
        9.12.2 Duozhun Description and Business Overview
        9.12.3 Duozhun Big Data Analytics in Retail Introduction
        9.12.4 Duozhun Revenue in Big Data Analytics in Retail Business (2020-2021)
        9.12.5 Duozhun Recent Development

10 Market Dynamics
    10.1 Industry Trends
    10.2 Market Drives
    10.3 Market Challenges
    10.4 Market Restraints

11 Key Findings in This Report
12 Appendix
    12.1 Research Methodology
        12.1.1 Methodology/Research Approach
        12.1.2 Data Source
    12.2 Disclaimer
    12.3 Author Details

List of Tables Table 1. Global Big Data Analytics in Retail Market Size Growth Rate by Type (2021-2027) (US$ Million) Table 2. Key Players of Software & Service Table 3. Key Players of Platform Table 4. Global Big Data Analytics in Retail Market Size Growth by Application (2021-2027) (US$ Million) Table 5. Global Big Data Analytics in Retail Market Size by Regions (2021-2027) (US$ Million) Table 6. Global Big Data Analytics in Retail Market Share by Regions (2021-2027) Table 7. Market Top Trends Table 8. Market Use Cases Table 9. Global Big Data Analytics in Retail Revenue by Players (2020-2021) (US$ Million) Table 10. Global Big Data Analytics in Retail Market Share by Players (2020-2021) Table 11. Key Players Headquarters and Area Served Table 12. Key Players Big Data Analytics in Retail Product Solution and Service Table 13. Date of Enter into Big Data Analytics in Retail Market Table 14. Mergers & Acquisitions, Expansion Plans Table 15. Global Big Data Analytics in Retail Market Size by Type (2021-2027) (US$ Million) Table 16. Global Big Data Analytics in Retail Market Size Share by Type (2021-2027) Table 17. Global Big Data Analytics in Retail Market Size by Application (2021-2027) (US$ Million) Table 18. Global Big Data Analytics in Retail Market Size Share by Application (2021-2027) Table 19. North America Key Players Big Data Analytics in Retail Revenue (2020-2021) (US$ Million) Table 20. North America Key Players Big Data Analytics in Retail Market Share (2020-2021) Table 21. North America Big Data Analytics in Retail Market Size by Type (2021-2027) (US$ Million) Table 22. North America Big Data Analytics in Retail Market Share by Type (2021-2027) Table 23. North America Big Data Analytics in Retail Market Size by Application (2021-2027) (US$ Million) Table 24. North America Big Data Analytics in Retail Market Share by Application (2021-2027) Table 25. Europe Key Players Big Data Analytics in Retail Revenue (2020-2021) (US$ Million) Table 26. Europe Key Players Big Data Analytics in Retail Market Share (2020-2021) Table 27. Europe Big Data Analytics in Retail Market Size by Type (2021-2027) (US$ Million) Table 28. Europe Big Data Analytics in Retail Market Share by Type (2021-2027) Table 29. Europe Big Data Analytics in Retail Market Size by Application (2021-2027) (US$ Million) Table 30. Europe Big Data Analytics in Retail Market Share by Application (2021-2027) Table 31. Japan Key Players Big Data Analytics in Retail Revenue (2020-2021) (US$ Million) Table 32. Japan Key Players Big Data Analytics in Retail Market Share (2020-2021) Table 33. Japan Big Data Analytics in Retail Market Size by Type (2021-2027) (US$ Million) Table 34. Japan Big Data Analytics in Retail Market Share by Type (2021-2027) Table 35. Japan Big Data Analytics in Retail Market Size by Application (2021-2027) (US$ Million) Table 36. Japan Big Data Analytics in Retail Market Share by Application (2021-2027) Table 37. Key Players in China Table 38. Key Players in Southeast Asia Table 39. Key Players in India Table 40. IBM Company Details Table 41. IBM Description and Business Overview Table 42. IBM Big Data Analytics in Retail Product Table 43. IBM Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 44. IBM Recent Development Table 45. SAP Company Details Table 46. SAP Description and Business Overview Table 47. SAP Big Data Analytics in Retail Product Table 48. SAP Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 49. SAP Recent Development Table 50. Microsoft Company Details Table 51. Microsoft Description and Business Overview Table 52. Microsoft Big Data Analytics in Retail Product Table 53. Microsoft Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 54. Microsoft Recent Development Table 55. Oracle Company Details Table 56. Oracle Description and Business Overview Table 57. Oracle Big Data Analytics in Retail Product Table 58. Oracle Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 59. Oracle Recent Development Table 60. SAS Company Details Table 61. SAS Description and Business Overview Table 62. SAS Big Data Analytics in Retail Product Table 63. SAS Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 64. SAS Recent Development Table 65. Adobe Company Details Table 66. Adobe Description and Business Overview Table 67. Adobe Big Data Analytics in Retail Product Table 68. Adobe Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 69. Adobe Recent Development Table 70. Microstrategy Company Details Table 71. Microstrategy Description and Business Overview Table 72. Microstrategy Big Data Analytics in Retail Product Table 73. Microstrategy Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 74. Microstrategy Recent Development Table 75. Information Builders Company Details Table 76. Information Builders Description and Business Overview Table 77. Information Builders Big Data Analytics in Retail Product Table 78. Information Builders Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 79. Information Builders Recent Development Table 80. Tableau Software Company Details Table 81. Tableau Software Description and Business Overview Table 82. Tableau Software Big Data Analytics in Retail Product Table 83. Tableau Software Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 84. Tableau Software Recent Development Table 85. Qlik Technologies Company Details Table 86. Qlik Technologies Description and Business Overview Table 87. Qlik Technologies Big Data Analytics in Retail Product Table 88. Qlik Technologies Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 89. Qlik Technologies Recent Development Table 90. RetailNext Company Details Table 91. RetailNext Description and Business Overview Table 92. RetailNext Big Data Analytics in Retail Product Table 93. RetailNext Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 94. RetailNext Recent Development Table 95. Duozhun Company Details Table 96. Duozhun Description and Business Overview Table 97. Duozhun Big Data Analytics in Retail Product Table 98. Duozhun Revenue in Big Data Analytics in Retail Business 2020 and 2021 Table 99. Duozhun Recent Development Table 100. Big Data Analytics in Retail Market Trends Table 101. Big Data Analytics in Retail Market Drivers Table 102. Big Data Analytics in Retail Market Challenges Table 103. Big Data Analytics in Retail Market Restraints Table 104. Research Programs/Design for This Report Table 105. Key Data Information from Secondary Sources Table 106. Key Data Information from Primary Sources List of Figures Figure 1. Global Big Data Analytics in Retail Market Share by Type in 2021 & 2027 Figure 2. Software & Service Features Figure 3. Platform Features Figure 4. Global Big Data Analytics in Retail Market Share by Application in 2021 & 2027 Figure 5. Merchandising & In-store Analytics Case Studies Figure 6. Marketing & Customer Analytics Case Studies Figure 7. Supply Chain Analytics Case Studies Figure 8. Others Case Studies Figure 9. Big Data Analytics in Retail Report Years Considered Figure 10. Global Big Data Analytics in Retail Market Size and Growth Rate (2020-2027) (US$ Million) Figure 11. Global Big Data Analytics in Retail Market Share by Regions (2020-2027) Figure 12. Global Big Data Analytics in Retail Market Share by Players in 2021 Figure 13. Global Big Data Analytics in Retail Market Size Market Share by Type (2021-2027) Figure 14. Global Big Data Analytics in Retail Market Size Market Share by Application (2021-2027) Figure 15. Global Big Data Analytics in Retail Revenue Market Share by Application in 2021 Figure 16. North America Big Data Analytics in Retail Market Size 2021-2027 (US$ Million) Figure 17. Europe Big Data Analytics in Retail Market Size 2021-2027 (US$ Million) Figure 18. Japan Big Data Analytics in Retail Market Size 2021-2027 (US$ Million) Figure 19. Big Data Analytics in Retail Market Size in China (2021-2027) (US$ Million) Figure 20. Big Data Analytics in Retail Market Size in Southeast Asia (2021-2027) (US$ Million) Figure 21. Big Data Analytics in Retail Market Size in India (2021-2027) (US$ Million) Figure 22. Bottom-up and Top-down Approaches for This Report Figure 23. Data Triangulation Figure 24. Key Executives Interviewed

This research study involved the extensive usage of both primary and secondary data sources.  The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. Top-down and bottom-up approaches are used to validate the global market size market and estimate the market size for manufacturers, regions segments, product segments and applications (end users). All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from QYResearch and presented in this report.
 

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
 

Secondary Sources occupies Approximately 25% of Sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on; This research study involved the usage of widespread secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; BIS Statistics; ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and commercial study of the Light Aircraft market. It was also used to obtain important information about the top players, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
 

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers etc.
 

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.
 

Primary research was conducted to identify segmentation types, product price range, product applications, key players, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
 

Publisher: QY Research
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