Big Data in E-commerce Market

Global Big Data in E-commerce Market Size, Share & Trends Analysis Report, By Deployment, (Cloud-Based and On-Premises), By Type (Structured, Unstructured, Semi-Structured), By End-User (Online Education, Online Financial, Online Retail, Online Travel and Leisure, and Other End-Users), Forecast (2021-2027)

Published: Oct 2021 | Report Code: OMR2024366 | Category : Cloud and Big data | Delivery Format: /

The global big data in e-commerce market is estimated to grow at a significant CAGR during the forecast period. There is a significant rise in big data coupled with rising internet penetration. From artificial intelligence to the internet of things, social media to the global economy, the science of big data separates, sifts, and scrutinizes information to discern patterns, evaluate opinions and trends, and present these findings in a way that can be visualized and acted upon. 

Big data and analytics are supporting e-commerce businesses in staying one step ahead of the competition. Big data is a big set of data that businesses may use to figure out which product, pricing, and advertising strategy will maximize earnings. This is a big database of information that businesses may use to make better decisions. Owing to the whole data they acquire during day-to-day operations; e-commerce businesses can gain the most from big data. Many large businesses acknowledge the role of this data and provide customers with a variety of options while purchasing on their websites. All of these choices are based on big data analytics. When employing this technology, consumer preferences are truly limitless. There are two forms of valuable information in big data: structured and unstructured. The structured data consists of standard information such as a person's name and address. Likes, tweets, clicks, and videos are examples of unstructured data collected from locations like social media. This data is valuable to e-commerce enterprises that want to improve customer care.

The increasing use of big data by online retailers is the primary driver for global market expansion. To achieve a competitive advantage, e-retailers are adopting big data to obtain customer behavioral analysis and customized recommendations. Furthermore, customers' growing preference for online payment methods, as well as the massive development in data collection, is anticipated to open up new business chances for the global market.

Market Coverage

  • The market number available for – 2020-2027
  • Base year- 2020
  • Forecast period- 2021-2027
  • Segments Covered

o By Deployment

o By Type

o By End-User

  • Competitive Landscape: Amazon Web Services, Inc., Dell Inc, Hewlett Packard Enterprise (HPE), IBM Corp., and Hitachi, Ltd.

Key questions addressed by the report

  • What is the market growth rate?
  • Which segment and region dominates the market in base year?
  • Which segment and region will project fastest growth in the market?
  • How COVID-19 impacted the market?

o Recovery Timeline

o Deviation from pre-COVID forecast

o Most affected region and segment

  • Who is the leader in the market?
  • How players are addressing challenges to sustain growth?
  • Where is the investment opportunity?

Global Big Data in E-commerce Market Segmentation

By Deployment,

  • Cloud-Based
  •  On-Premises

By Data Type

  • Structured
  • Unstructured
  • Semi-Structured

By End-User

  • Online Education
  • Online Financial
  • Online Retail
  • Online Travel and Leisure
  • Other End-Users

Global Big Data in E-commerce Market by Region

North America

  • United States
  • Canada

Europe

  • UK
  • Germany
  • Italy
  • Spain
  • France
  • Rest of Europe 

Asia-Pacific

  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific 

Rest of the World