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Big Data Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

Big Data Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

  • April 2021
  • 143 pages
  • ID: 5878818
  • Format: PDF
  • IMARC Group

Summary

Table of Contents

The global big data software market reached a value of US$ 142.4 Billion in 2020. Big data software refers to a type of software that is used to collect, host, and analytically process the dynamic and disparate volume of data created by people, tools, or machines. It focuses on providing efficient analytics for extremely large datasets that assist the organization in gaining deep insight by converting the data into high-quality information, pertaining to the business situation. Furthermore, the software also helps in discovering hidden patterns, unknown correlation, market trends, consumer preferences, and other useful information from a wide variety of data sets.

Over the years, there has been a rise in the demand for big data software owing to the significant amount of data being generated by sensors from the Internet of Things (IoT). Moreover, the growth of artificial intelligence/machine learning (ML) as an innovative technology within data management and analytics software, coupled with the rapid digitalization across emerging nations, is bolstering the market demand globally. Furthermore, the increasing significance of data in modern enterprises backed by the rising investments in technology, resulting in deep assessments of current business practices will continue to stimulate the market growth in the upcoming times. Looking forward, the analyst expects the global big data software market to exhibit strong growth during the next five years.

Breakup by Software Type:
Database
Data Analytics and Tools
Data Management
Data Applications
Core Technologies

Breakup by Deployment Type:
On-Premise
Cloud

Breakup by Industry:
Banking
Discrete Manufacturing
Professional Services
Process Manufacturing
Federal/Central Government
Others

Breakup by End-Use:
Large Enterprise
SMEs

Breakup by Region:
North America
United States
Canada
Europe
United Kingdom
Germany
Italy
Spain
France
Russia
Others
Asia Pacific
China
Japan
India
South Korea
Australia
Vietnam
Others
Latin America
Brazil
Mexico
Argentina
Columbia
Chile
Others
Middle East and Africa
Saudi Arabia
United Arab Emirates
South Africa
Others

Competitive Landscape:
The competitive landscape of the industry has also been examined with some of the key players being AWS, Cloudera, Hortonworks, IBM, Informatica, Microsoft, Oracle, Palantir, SAP, SAS, and Splunk.

Key Questions Answered in This Report:
How has the global big data software market performed so far and how will it perform in the coming years?
What are the key regional markets?
What has been the impact of COVID-19 on the global big data software market?
What is the breakup of the market based on the software type?
What is the breakup of the market based on the deployment type?
What is the breakup of the market based on the industry?
What is the breakup of the market based on the end-use?
What are the key driving factors and challenges in the market?
What is the structure of the global big data software market and who are the key players?
What is the degree of competition in the market?

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