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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.
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:
Breakup by Deployment Type:
Breakup by Industry:
Breakup by End-Use:
Breakup by Region:
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.
|Base Year of the Analysis||2021|
|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)|
The global big data software market was valued at US$ 162.6 Billion in 2021.
We expect the global big data software market to exhibit a CAGR of 11.4% during 2022-2027.
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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