Big Data Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027

Big Data Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027

The global big data software market reached a value of US$ 162.6 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 314.1 Billion by 2027, exhibiting a CAGR of 11.4% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic on different end use industries. These insights are included in the report as a major market contributor.

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.

Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each sub-segment of the global big data software market, along with forecasts at the global, regional and country level from 2022-2027. Our report has categorized the market based on software type, deployment type, industry and end-use.

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 Enterprises
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
Colombia
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
1. What was the size of the global big data software market in 2021?
2. What is the expected growth rate of the global big data software market during 2022-2027?
3. What are the key factors driving the global big data software market?
4. What has been the impact of COVID-19 on the global big data software market?
5. What is the breakup of the global big data software market based on the software type?
6. What is the breakup of the global big data software market based on the deployment type?
7. What is the breakup of the global big data software market based on the industry?
8. What is the breakup of the global big data software market based on the end-use?
9. What are the key regions in the global big data software market?
10. Who are the key players/companies in the global big data software market?


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 Colombia
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

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