Big Data in E-Commerce Market Size, Share, Growth and Industry Analysis by Type (Structured Big Data, Unstructured Big Data, And, Semi-Structured Big Data) By Application (Online Classifieds, Online Education, Online Financials, Online Retail, And, Online Travel and Leisure), Regional Insights, and Forecast To 2032

Big Data in E-Commerce Market REPORT OVERVIEW

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The global big data in e-commerce market size was USD 3747.8 million in 2022 and market is projected to touch USD 13329.9 million by 2032 with a compound annual growth rate (CAGR) 12.1% during the forecast period.

Big data in E-commerce is a type of E-commerce which incorporates analytics and big data. Analytics and big data are used in order to improve the engagement of customers, and also increase the sales. It also personalizes the shopping experience of the customer. Customers are engaged in two ways which include improving visibility of product information and they also provide personalized recommendation to the customers.

Big data assists customers in customizing their recommendations in accordance with their likes. This is identified as the latest trend in the market. Big data has made online payments very secure. Big data allows-commerce companies to adjust to a given relevant commercial situation. These act as the factors driving the big data in E-commerce market growth.

COVID-19 impact: Increased E-commerce Activities During the Pandemic Increased Market Growth

The pandemic of COVID-19 created a lot of difficulties for the markets to operate. Strict lockdowns, and social distancing norms imposed by government to prevent the spread of corona virus became a disadvantage to some markets where as it proved to be an advantage to other sectors like big data in E-commerce.

As people were restricted from going out E-commerce activities increased greatly. People heavily relied on online shopping to get whatever they wanted. As E-commerce became more prominent among people the integration of big data into also gained popularity. This increased the market growth during the period of pandemic.

LATEST TRENDS

"Increasing Sales Due to Integration of Big Data in E-commerce to Increase Market Growth"

Integrating big data into E-commerce has brought about some revolutionary changes. It has proved to be really advantageous to the E-commerce sector. One of the benefits is increased sales. There are several ways how big data helps in increasing the customer base. Big data assists customers in customizing their recommendations in accordance with their likes and choices.

When people are able to customize their preferences, it increases the traffic to the website giving way to greater profits. Businesses with the help of big data can conduct product campaigns and inform them regarding various offers and discounts. It also helps in integrating information from various data sources which include both structured and unstructured. Big data analytics will help E-commerce companies to understand the behavior of their customers. Integrating big data into E-commerce has a lot of significant uses.

Big Data in E-Commerce Market SEGMENTATION

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• By Type:

The market can be divided on the basis of type into the following segments:

Structured big data, unstructured big data, and, semi-structured big data. The structured big data segment is anticipated to dominate the market during the forecast period.

• By Application:

Classification based on application into the following segment:

Online classifieds, online education, online financials, online  retail, and, online travel and leisure. The online classifieds segment is predicted to dominate the market during the research period.

DRIVING FACTORS

"Security in Making Payments to accelerate Market Growth"

A lot of customers are hesitant about using online shopping as they are concerned about the safety of their payments. Only when customers are assured about the safety of their payments, they can have a smooth experience shopping online. Big data has made online payments very secure. This technology is capable of recognizing any kind of atypical and fraud spending behaviors. Alert systems can be set up by companies to notify customers about fraudulent activities.

Certain times a lot of purchases can take place with the same credit card in a very short span of time. Multiple payments can happen from the same IP address. These could be some signs of fraudulent activities and big data provides protection against this. They also help in determining which payment method suits the best for which customer. All of these new developments have helped in creating a secure platform for online platform.

"Real Time Services Provided by Big Data Analytics to Propel Market Growth "

Big data in E-commerce can provide in-depth analysis about the customers. A customer’s preference, likes, and dislikes can be easily identified and personalization can be done accordingly. Certain times there could be problems regarding processing of orders as well as delivery of products. These problems can be easily solved with big data.

Big data allows-commerce companies to adjust to a given relevant commercial situation. Dynamism and adaptability to changes is one of the biggest advantages of big data in E-commerce. This is considered as the major factor driving the big data in E-commerce market share. 

RESTRAINING FACTOR

"Difficulty in Collection of Data to Decrease Market Growth"

Sometimes there could be discrepancies regarding the collection of data. There are certain tools that are used for the purpose of collecting data.  These tools might not prove to be very effective. Due to the overwhelming amount of data available collection of  this data can be highly complicated.

Even though computers are highly advanced in performing activities they can never analyze like human beings. Sometimes there can be difficulty in transferring data between numerous teams. The data has to be protected. All of these factors can become a restraining factor for the big data in E-commerce market share.

Big Data in E-Commerce Market Regional Insights

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"North America to Dominate the Market in Upcoming Years"

North America is the region dominating the market. The main reason that has made North America the major share holder of the market is the rapid technological development taking place in this region. Many new companies are getting established on a large scale. Online shopping has increased at a great rate in North America.

This has given E-commerce companies in this region the scope to integrate big data analytics which is in turn increasing the sales of the companies. Increasing customer satisfaction due to the personalization provided by big data is creating many growth opportunities for the market.

Key Industry Players

"Leading Players adopt Acquisition Strategies to Stay Competitive "

Several players in the market are using acquisition strategies to build their business portfolio and strengthen their market position. In addition, partnerships and collaborations are among the common strategies adopted by companies. Key market players are making R&D investments to bring advanced technologies and solutions to the market.

LIST OF TOP Big Data in E-Commerce COMPANIES

• Amazon Web Services, Inc. (U.S.)
• Data Inc (Japan)
• Dell Inc. (U.S.)
• Hewlett Packard Enterprise (U.S.)
• Hitachi, Ltd. (Japan)
• IBM Corp. (U.S.)
• Microsoft Corp. (U.S.)
• Oracle Corp. (U.S.)
• Palantir Technologies, Inc. (U.S.)
• SAS Institute Inc. (U.S.)
• Splunk Inc. (U.S.)
• Teradata Corp. (U.S.)

Report Coverage

The report provides an insight into the industry from both the demand and supply sides. Further, it also gives information on the impact of COVID-19 on the market, the driving and the restraining factors along with the regional insights. Market dynamic forces during the forecast period have also been discussed for the better understanding of the market situations