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DUBLIN, May 4, 2021 /PRNewswire/ -- The "Big Data Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026" report has been added to ResearchAndMarkets.com's offering.

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 publisher expects the global big data software market to exhibit strong growth during the next five years.

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?

Key Topics Covered:

1 Preface

2 Scope and Methodology

2.1 Objectives of the Study

2.2 Stakeholders

2.3 Data Sources

2.3.1 Primary Sources

2.3.2 Secondary Sources

2.4 Market Estimation

2.4.1 Bottom-Up Approach

2.4.2 Top-Down Approach

2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

4.1 Overview

4.2 Key Industry Trends

5 Global Big Data Software Market

5.1 Market Overview

5.2 Market Performance

5.3 Impact of COVID-19

5.4 Market Forecast

6 Market Breakup by Software Type

6.1 Database

6.1.1 Market Trends

6.1.2 Market Forecast

6.2 Data Analytics and Tools

6.2.1 Market Trends

6.2.2 Market Forecast

6.3 Data Management

6.3.1 Market Trends

6.3.2 Market Forecast

6.4 Data Applications

6.4.1 Market Trends

6.4.2 Market Forecast

6.5 Core Technologies

6.5.1 Market Trends

6.5.2 Market Forecast

7 Market Breakup by Deployment Type

7.1 On-Premise

7.1.1 Market Trends

7.1.2 Market Forecast

7.2 Cloud

7.2.1 Market Trends

7.2.2 Market Forecast

8 Market Breakup by Industry

8.1 Banking

8.1.1 Market Trends

8.1.2 Market Forecast

8.2 Discrete Manufacturing

8.2.1 Market Trends

8.2.2 Market Forecast

8.3 Professional Services

8.3.1 Market Trends

8.3.2 Market Forecast

8.4 Process Manufacturing

8.4.1 Market Trends

8.4.2 Market Forecast

8.5 Federal/Central Government

8.5.1 Market Trends

8.5.2 Market Forecast

8.6 Others

8.6.1 Market Trends

8.6.2 Market Forecast

9 Market Breakup by End-Use

9.1 Large Enterprises

9.1.1 Market Trends

9.1.2 Market Forecast

9.2 SMEs

9.2.1 Market Trends

9.2.2 Market Forecast

10 Market Breakup by Region

10.1 North America

10.1.1 United States

10.1.1.1 Market Trends

10.1.1.2 Market Forecast

10.1.2 Canada

10.1.2.1 Market Trends

10.1.2.2 Market Forecast

10.2 Europe

10.2.1 United Kingdom

10.2.1.1 Market Trends

10.2.1.2 Market Forecast

10.2.2 Germany

10.2.2.1 Market Trends

10.2.2.2 Market Forecast

10.2.3 Italy

10.2.3.1 Market Trends

10.2.3.2 Market Forecast

10.2.4 Spain

10.2.4.1 Market Trends

10.2.4.2 Market Forecast

10.2.5 France

10.2.5.1 Market Trends

10.2.5.2 Market Forecast

10.2.6 Russia

10.2.6.1 Market Trends

10.2.6.2 Market Forecast

10.2.7 Others

10.2.7.1 Market Trends

10.2.7.2 Market Forecast

10.3 Asia Pacific

10.3.1 China

10.3.1.1 Market Trends

10.3.1.2 Market Forecast

10.3.2 Japan

10.3.2.1 Market Trends

10.3.2.2 Market Forecast

10.3.3 India

10.3.3.1 Market Trends

10.3.3.2 Market Forecast

10.3.4 Vietnam

10.3.4.1 Market Trends

10.3.4.2 Market Forecast

10.3.5 Australia

10.3.5.1 Market Trends

10.3.5.2 Market Forecast

10.3.6 South Korea

10.3.6.1 Market Trends

10.3.6.2 Market Forecast

10.3.7 Others

10.3.7.1 Market Trends

10.3.7.2 Market Forecast

10.4 Latin America

10.4.1 Brazil

10.4.1.1 Market Trends

10.4.1.2 Market Forecast

10.4.2 Mexico

10.4.2.1 Market Trends

10.4.2.2 Market Forecast

10.4.3 Argentina

10.4.3.1 Market Trends

10.4.3.2 Market Forecast

10.4.4 Columbia

10.4.4.1 Market Trends

10.4.4.2 Market Forecast

10.4.5 Chile

10.4.5.1 Market Trends

10.4.5.2 Market Forecast

10.4.6 Others

10.4.6.1 Market Trends

10.4.6.2 Market Forecast

10.5 Middle East and Africa

10.5.1 Saudi Arabia

10.5.1.1 Market Trends

10.5.1.2 Market Forecast

10.5.2 United Arab Emirates

10.5.2.1 Market Trends

10.5.2.2 Market Forecast

10.5.3 South Africa

10.5.3.1 Market Trends

10.5.3.2 Market Forecast

10.5.4 Others

10.5.4.1 Market Trends

10.5.4.2 Market Forecast

11 SWOT Analysis

11.1 Overview

11.2 Strengths

11.3 Weaknesses

11.4 Opportunities

11.5 Threats

12 Value Chain Analysis

12.1 Overview

12.2 Inbound Logistics

12.3 Operations

12.4 Outbound Logistics

12.5 Marketing and Sales

12.6 Service

13 Porters Five Forces Analysis

13.1 Overview

13.2 Bargaining Power of Buyers

13.3 Bargaining Power of Suppliers

13.4 Degree of Competition

13.5 Threat of New Entrants

13.6 Threat of Substitutes

14 Competitive Landscape

14.1 Market Structure

14.2 Key Players

14.3 Profiles of Key Players

14.3.1 AWS

14.3.2 Cloudera

14.3.3 Hortonworks

14.3.4 IBM

14.3.5 Informatica

14.3.6 Microsoft

14.3.7 Oracle

14.3.8 Palantir

14.3.9 SAP

14.3.10 SAS

14.3.11 Splunk

For more information about this report visit https://www.researchandmarkets.com/r/10l2qb

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