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Big Data in Retail Trends, Share, Forecast, Overview and Analysis by 2028

September 6, 2021

The global big data in retail reached a market size of USD 4.56 Billion in 2020 and is expected to register a robust CAGR of 21.2% over the forecast period, according to latest analysis by Emergen Research. Growing need to enhance customer experience with personalized offerings in the retail industry is among some of the key factors expected to drive growth of the global big data in retail during the forecast period. The report provides detailed insights into big data in retail trends, industry trends, consumer trends, market size, market share, market revenue growth, and forecast, along with ranging impact of each factor and driver. It also provides analysis of various factors expected to restrain or limit potential growth in big data in retail size over the forecast period, 2020–2028. The Big Data Analytics in Retail report includes profiles of major players in the market, strategies being employed, mergers, acquisitions, recent developments, agreements, contracts, new product development and launches, segment revenue, investment details as well as financials. Retail businesses analyze in-store surveillance recordings and data from sensors to enhance consumer experience. Retailers calculate how many buyers tend to move to a storage area and better represent the products individuals are more likely to choose initially.

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Big data analytics offers retailers an edge when it comes to selling items. Varying market trends can be attributed to inclining revenue growth of the global big data in retail going ahead. big data in retail trends include rising focus by major players on product/service expansion into new and untapped domestic markets and rising competition. Other positive big data in retail trends include rising demand and deployment in respective sectors/industries in major and developing countries. In addition, implementation of favorable government policies, advancements in technology, and steady economic growth across various regions and countries are factors expected to continue to result in further big data in retail trend evolution and changes going ahead. Precise tracking can help retailers to identify trends. Retailers can schedule placement of different products and expect an effective dynamic pricing approach. In addition, rapidly rising demand and deployment in respective sectors/industries in major and developing countries is supporting growth in terms of big data in retail share contribution of these countries. In addition, big data in retail share contribution is expected to continue to incline steadily over the forecast period due to favorable government policies, advancements in technology, and steady economic growth across various regions and countries.

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In terms of big data in retail share and revenue contribution to the global big data in retail, North America is expected to maintain its dominance over other regional markets over the forecast period. Presence of major companies in countries in the region is a key factor supporting rapid increase in big data in retail share.

The market intelligence report on the Big Data Analytics in Retail Industry also includes an extensive investigation of the competitive landscape. It assesses the business and marketing strategies expected to be present in the market through the forecast years. It also includes an investigation of the recent advancements and other factors driving the growth of the overall market to help comprehend the progress of the companies in the coming years.

Key Highlights of Report

Increasing adoption of big data analytics software in the retail industry is driving revenue growth of the software segment currently, which is expected to register a significantly high CAGR over the forecast period.
In terms of market share, the on-premises segment is expected to lead during the forecast period due to increasing implementation of on-premises-based big data analytics solutions for better data privacy in the retail industry.
In terms of revenue, the customer analytics segment is expected to register significant growth with a high CAGR during the forecast period due to increasing usage of big data analytics software in the retail industry for customer-based analysis.
Due to high presence of international players such as Oracle Corporation, Zoho Corporation, and International Business Machines Corporation in countries in North America, the market in the region is expected to account for comparatively higher revenue share among other regional markets during the forecast period.
Key market players include Oracle Corporation, Zoho Corporation, SAP SE, Qlik Technologies Inc., International Business Machines Corporation, Retail Next Inc., Salesforce.com Inc., Microstrategy Inc., Alteryx Inc., and Fuzzy Logix LLC.
In May 2019, SAP SE declared that NPC International (NPC), which is the world’s leading Pizza Hut and Wendy’s franchisee, deployed SuccessFactors SAS applications for human capital management and SAP S/4HANA Cloud solutions for enterprise resource planning. Through applications rolled out to 40,000 U.S. workforce, NPC has effectively simplified its activities and built a digital roadmap toward the future.

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Region wise performance of the Big Data Analytics in Retail industry

North America big data in retail trend scenario has significant impact on other regional market trends. North America big data in retail accounted for largest revenue share in 2020 and is expected to continue to maintain its dominance over other regional markets over the forecast period. Presence of major players in countries in the region is a key factor driving steady change in overall big data in retail trends.

Asia Pacific big data in retail is expected to register comparatively faster revenue growth than other regional markets over the forecast period. This can be attributed to varying big data in retail trend scenarios in countries such as China, India, South Korea, and others. These scenarios with regard to domestic market trends and international market trends and varying impacts play a major role in growth of the Asia Pacific market.

Asia Pacific market share contribution to the global big data in retail is expected to continue to register comparatively faster growth rate than other regional markets between 2020 and 2028. Increasing population, favorable government policies and initiatives, rising disposable income among consumers in countries in the region, influence of big data in retail trends in other countries and regions, and steady economic growth are some key factors driving market revenue growth of the Asia Pacific big data in retail.

Europe big data in retail size and revenue growth is primarily supported by big data in retail trends such as continuous developments in major countries in the region, robust focus on research and development initiatives by major firms, and changing market trends in countries in other major regions.

Geographically, this report studies the key regions, focuses on product sales, value, market share and growth opportunity in these regions, covering:

United States
Europe
China
Japan
Southeast Asia
India

We can also provide the customized separate regional or country-level reports, for the following regions:

North America, United States, Canada, Mexico, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Singapore, Rest of Asia-Pacific, Europe, Germany, France, UK, Italy, Spain, Russia, Rest of Europe, Central & South America, Brazil, Argentina, Rest of South America, Middle East & Africa, Saudi Arabia, Turkey, Rest of Middle East & Africa

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The research provides answers to the following key questions:

What will be the growth rate and the market size of the Big Data Analytics in Retail industry for the forecast period 2020-2027?
What are the major driving forces expected to impact the development of the big data in retail across different regions?
Who are the major driving forces expected to decide the fate of the Big Data Analytics in Retail industry worldwide?
Who are the prominent market players making a mark in the big data in retail with their winning strategies?
Which Big Data Analytics in Retail industry trends are likely to shape the future of the industry during the forecast period 2020-2027?
What are the key barriers and threats believed to hinder the development of the industry?
What are the future opportunities in the big data in retail?

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