Global and United States In-Memory Data Grids Software Market Report & Forecast 2022-2028

IMDGs provide a lightweight, distributed, scale-out in-memory object store — the data grid. Multiple applications can concurrently perform transactional and/or analytical operations in the low-latency data grid, thus minimizing access to high-latency, hard-disk-drive-based or solid-state-drive-based data storage. IMDGs maintain data grid durability across physical or virtual servers via replication, partitioning and on-disk persistence. Objects in the data grid are uniquely identified through a primary key, but can also be retrieved via other attributes. The most typical use of IMDGs is for web-scale transaction processing applications. However, adoption for analytics, often in combination with Apache Spark and Hadoop or stream analytics platforms, is growing fast — for example, for fraud detection, risk management, operation monitoring, dynamic pricing and real-time recommendation management.
Market Analysis and Insights: Global and United States In-Memory Data Grids Software Market
This report focuses on global and United States In-Memory Data Grids Software market, also covers the segmentation data of other regions in regional level and county level.
Due to the COVID-19 pandemic, the global In-Memory Data Grids Software market size is estimated to be worth US$ 2096.2 million in 2022 and is forecast to a readjusted size of US$ 3603.5 million by 2028 with a CAGR of 9.5% during the review period. Fully considering the economic change by this health crisis, by Type, Cloud-Based accounting for % of the In-Memory Data Grids Software global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR in the post-COVID-19 period. While by Application, Large Enterprises (1000+Users) was the leading segment, accounting for over percent market share in 2021, and altered to an % CAGR throughout this forecast period.
In United States the In-Memory Data Grids Software market size is expected to grow from US$ million in 2021 to US$ million by 2028, at a CAGR of % during the forecast period.
Global In-Memory Data Grids Software Scope and Market Size
In-Memory Data Grids Software market is segmented by region (country), players, by Type and by Application. Players, stakeholders, and other participants in the global In-Memory Data Grids Software market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by region (country), by Type and by Application for the period 2017-2028.
For United States market, this report focuses on the In-Memory Data Grids Software market size by players, by Type and by Application, for the period 2017-2028. The key players include the global and local players, which play important roles in United States.
Segment by Type
Cloud-Based
On-Premises
Segment by Application
Large Enterprises (1000+Users)
Medium-Sized Enterprise (499-1000 Users)
Small Enterprises (1-499Users)
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
India
Australia
China Taiwan
Indonesia
Thailand
Malaysia
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
By Company
Hazelcast
Scaleout Software Inc
Software AG
GridGain
Pivotal
GigaSpaces Technologies
TIBCO Software
IBM
Red Hat
Fujitsu