How big is the In Memory Data Grid Market?

The In Memory Data Grid Market size is expected to reach USD 3.80 billion in 2024 and grow at a CAGR of 19.23% to reach USD 9.17 billion by 2029. Read More

What is the current In Memory Data Grid Market size?

In 2024, the In Memory Data Grid Market size is expected to reach USD 3.80 billion. Read More

Who are the key players in In Memory Data Grid Market?

Hazelcast Inc., IBM Corporation, GridGain Systems Inc., TIBCO Software Inc. and Oracle Corporation are the major companies operating in the In Memory Data Grid Market. Read More

Which is the fastest growing region in In Memory Data Grid Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029). Read More

Which region has the biggest share in In Memory Data Grid Market?

In 2024, the North America accounts for the largest market share in In Memory Data Grid Market. Read More

What years does this In Memory Data Grid Market cover, and what was the market size in 2023?

In 2023, the In Memory Data Grid Market size was estimated at USD 3.19 billion. The report covers the In Memory Data Grid Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the In Memory Data Grid Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029. Read More

In Memory Data Grid Market Share

Statistics for the 2023 & 2024 In Memory Data Grid market share, created by Mordor Intelligence™ Industry Reports. In Memory Data Grid share report includes a market forecast to 2029 and historical overview. Get a sample of this industry share analysis as a free report PDF download.

Market Share of In Memory Data Grid Industry

The In-Memory Data Grid market is fragmented consisting of various vendors such as GridGain, Hazelcast, Software AG, Oracle Corporation, GigaSpaces Technologies Inc., and others. Vendors are deploying several organic and inorganic growth strategies, such as partnerships and collaborations, new product launches, and mergers and acquisitions, to strengthen their presence and compete in the market.

In March 2022, Hazelcast launched an open-source lightweight in-memory stream processing engine InApps technology, to enable processing in near real-time for data-intensive applications such as smart home sensors, in-store e-commerce systems, social media platforms, log analysis, monitoring, and fraud detection. The company also released version 3.8 of Hazelcast IMDG, which includes advanced capabilities for managing persistence and multi-data center deployments.

In March 2022, Hazelcast added more SQL streaming data capabilities and tiering to its in-memory data grid software so that real-time and older information can be queried simultaneously. The company basically stores a load of data in memory so it can be accessed, processed, and analyzed much faster than by sequentially reading it from SSDs or disk drives.