Report overview
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.
This report aims to provide a comprehensive presentation of the global market for In-Memory Data Grids Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding In-Memory Data Grids Software. This report contains market size and forecasts of In-Memory Data Grids Software in global, including the following market information:
Global In-Memory Data Grids Software Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global top five companies in 2022 (%)
The global In-Memory Data Grids Software market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Cloud-Based Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of In-Memory Data Grids Software include Hazelcast, Scaleout Software Inc, Software AG, GridGain, Pivotal, GigaSpaces Technologies, TIBCO Software, IBM and Red Hat, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We has surveyed the In-Memory Data Grids Software companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global In-Memory Data Grids Software Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global In-Memory Data Grids Software Market Segment Percentages, by Type, 2022 (%)
Cloud-Based
On-Premises
Global In-Memory Data Grids Software Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global In-Memory Data Grids Software Market Segment Percentages, by Application, 2022 (%)
Large Enterprises (1000+Users)
Medium-Sized Enterprise (499-1000 Users)
Small Enterprises (1-499Users)
Global In-Memory Data Grids Software Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global In-Memory Data Grids Software Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies In-Memory Data Grids Software revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies In-Memory Data Grids Software revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Hazelcast
Scaleout Software Inc
Software AG
GridGain
Pivotal
GigaSpaces Technologies
TIBCO Software
IBM
Red Hat
Fujitsu
Outline of Major Chapters:
Chapter 1: Introduces the definition of In-Memory Data Grids Software, market overview.
Chapter 2: Global In-Memory Data Grids Software market size in revenue.
Chapter 3: Detailed analysis of In-Memory Data Grids Software company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of In-Memory Data Grids Software in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
