Big Data Software Market Size, Segmentation and Forecast 2023-2028

Big Data Software Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

Report Format: PDF+Excel | Report ID: SR112023A1874

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Market Overview:

The global big data software market size reached US$ 181.1 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 335.2 Billion by 2028, exhibiting a growth rate (CAGR) of 9.8% during 2023-2028.

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.

Note: Information in the above chart consists of dummy data and is only shown here for representation purpose. Kindly contact us for the actual market size and trends.

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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 report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on software type, deployment type, industry and end-use.

Breakup by Software Type:

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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:

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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.

Report Coverage:

Report Features	Details
Base Year of the Analysis	2022
Historical Period	2017-2022
Forecast Period	2023-2028
Units	US$ Billion
Segment Coverage	Software Type, Deployment Type, Industry, End-Use, Region
Region Covered	Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered	United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Vietnam, Brazil, Mexico, Argentina, Colombia, Chile, Saudi Arabia, United Arab Emirates, South Africa
Companies Covered	AWS, Cloudera, Hortonworks, IBM, Informatica, Microsoft, Oracle, Palantir, SAP, SAS, and Splunk
Customization Scope	10% Free Customization
Report Price and Purchase Option	Single User License: US$ 2499 Five User License: US$ 3499 Corporate License: US$ 4499
Post-Sale Analyst Support	10-12 Weeks
Delivery Format	PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

Key Questions Answered in This Report

The global big data software market was valued at US$ 181.1 Billion in 2022.

We expect the global big data software market to exhibit a CAGR of 9.8% during 2023-2028.

The extensive utilization of big data software in various business practices, as it converts disparate volume of data into high-quality information for gaining deep insight, is currently driving the global big data software market.

The sudden outbreak of the COVID-19 pandemic has led to the growing adoption of big data software across numerous organizations, to remotely assist in discovering hidden patterns, market trends, changing preferences of the masses, etc., in the post-pandemic scenario.

Based on the software type, the global big data software market has been divided into database, data analytics and tools, data management, data applications, and core technologies. Among these, database exhibits a clear dominance in the market.

Based on the deployment type, the global big data software market can be categorized into on-premise and cloud. Currently, on-premise holds the majority of the total market share.

Based on the industry, the global big data software market has been segmented into banking, discrete manufacturing, professional services, process manufacturing, federal/central government, and others. Among these, the banking industry currently represents the largest market share.

Based on the end-use, the global big data software market can be bifurcated into large enterprises and SMEs. Currently, large enterprises account for the majority of the global market share.

On a regional level, the market has been classified into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America, where North America currently dominates the global market.

Some of the major players in the global big data software market include AWS, Cloudera, Hortonworks, IBM, Informatica, Microsoft, Oracle, Palantir, SAP, SAS, and Splunk.

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