
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.
Highlights
The global In-Memory Data Grids Software market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for In-Memory Data Grids Software is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for In-Memory Data Grids Software is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for In-Memory Data Grids Software in Large Enterprises (1000+Users) is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies 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 world's top three vendors accounted for approximately % of the revenue.
Report Scope
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.
The In-Memory Data Grids Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global In-Memory Data Grids Software market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the In-Memory Data Grids Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Hazelcast
Scaleout Software Inc
Software AG
GridGain
Pivotal
GigaSpaces Technologies
TIBCO Software
IBM
Red Hat
Fujitsu
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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of In-Memory Data Grids Software companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global In-Memory Data Grids Software Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud-Based
1.2.3 On-Premises
1.3 Market by Application
1.3.1 Global In-Memory Data Grids Software Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Large Enterprises (1000+Users)
1.3.3 Medium-Sized Enterprise (499-1000 Users)
1.3.4 Small Enterprises (1-499Users)
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global In-Memory Data Grids Software Market Perspective (2018-2029)
2.2 In-Memory Data Grids Software Growth Trends by Region
2.2.1 Global In-Memory Data Grids Software Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 In-Memory Data Grids Software Historic Market Size by Region (2018-2023)
2.2.3 In-Memory Data Grids Software Forecasted Market Size by Region (2024-2029)
2.3 In-Memory Data Grids Software Market Dynamics
2.3.1 In-Memory Data Grids Software Industry Trends
2.3.2 In-Memory Data Grids Software Market Drivers
2.3.3 In-Memory Data Grids Software Market Challenges
2.3.4 In-Memory Data Grids Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top In-Memory Data Grids Software Players by Revenue
3.1.1 Global Top In-Memory Data Grids Software Players by Revenue (2018-2023)
3.1.2 Global In-Memory Data Grids Software Revenue Market Share by Players (2018-2023)
3.2 Global In-Memory Data Grids Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by In-Memory Data Grids Software Revenue
3.4 Global In-Memory Data Grids Software Market Concentration Ratio
3.4.1 Global In-Memory Data Grids Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by In-Memory Data Grids Software Revenue in 2022
3.5 In-Memory Data Grids Software Key Players Head office and Area Served
3.6 Key Players In-Memory Data Grids Software Product Solution and Service
3.7 Date of Enter into In-Memory Data Grids Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 In-Memory Data Grids Software Breakdown Data by Type
4.1 Global In-Memory Data Grids Software Historic Market Size by Type (2018-2023)
4.2 Global In-Memory Data Grids Software Forecasted Market Size by Type (2024-2029)
5 In-Memory Data Grids Software Breakdown Data by Application
5.1 Global In-Memory Data Grids Software Historic Market Size by Application (2018-2023)
5.2 Global In-Memory Data Grids Software Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America In-Memory Data Grids Software Market Size (2018-2029)
6.2 North America In-Memory Data Grids Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America In-Memory Data Grids Software Market Size by Country (2018-2023)
6.4 North America In-Memory Data Grids Software Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe In-Memory Data Grids Software Market Size (2018-2029)
7.2 Europe In-Memory Data Grids Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe In-Memory Data Grids Software Market Size by Country (2018-2023)
7.4 Europe In-Memory Data Grids Software Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific In-Memory Data Grids Software Market Size (2018-2029)
8.2 Asia-Pacific In-Memory Data Grids Software Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific In-Memory Data Grids Software Market Size by Region (2018-2023)
8.4 Asia-Pacific In-Memory Data Grids Software Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America In-Memory Data Grids Software Market Size (2018-2029)
9.2 Latin America In-Memory Data Grids Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America In-Memory Data Grids Software Market Size by Country (2018-2023)
9.4 Latin America In-Memory Data Grids Software Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa In-Memory Data Grids Software Market Size (2018-2029)
10.2 Middle East & Africa In-Memory Data Grids Software Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa In-Memory Data Grids Software Market Size by Country (2018-2023)
10.4 Middle East & Africa In-Memory Data Grids Software Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Hazelcast
11.1.1 Hazelcast Company Detail
11.1.2 Hazelcast Business Overview
11.1.3 Hazelcast In-Memory Data Grids Software Introduction
11.1.4 Hazelcast Revenue in In-Memory Data Grids Software Business (2018-2023)
11.1.5 Hazelcast Recent Development
11.2 Scaleout Software Inc
11.2.1 Scaleout Software Inc Company Detail
11.2.2 Scaleout Software Inc Business Overview
11.2.3 Scaleout Software Inc In-Memory Data Grids Software Introduction
11.2.4 Scaleout Software Inc Revenue in In-Memory Data Grids Software Business (2018-2023)
11.2.5 Scaleout Software Inc Recent Development
11.3 Software AG
11.3.1 Software AG Company Detail
11.3.2 Software AG Business Overview
11.3.3 Software AG In-Memory Data Grids Software Introduction
11.3.4 Software AG Revenue in In-Memory Data Grids Software Business (2018-2023)
11.3.5 Software AG Recent Development
11.4 GridGain
11.4.1 GridGain Company Detail
11.4.2 GridGain Business Overview
11.4.3 GridGain In-Memory Data Grids Software Introduction
11.4.4 GridGain Revenue in In-Memory Data Grids Software Business (2018-2023)
11.4.5 GridGain Recent Development
11.5 Pivotal
11.5.1 Pivotal Company Detail
11.5.2 Pivotal Business Overview
11.5.3 Pivotal In-Memory Data Grids Software Introduction
11.5.4 Pivotal Revenue in In-Memory Data Grids Software Business (2018-2023)
11.5.5 Pivotal Recent Development
11.6 GigaSpaces Technologies
11.6.1 GigaSpaces Technologies Company Detail
11.6.2 GigaSpaces Technologies Business Overview
11.6.3 GigaSpaces Technologies In-Memory Data Grids Software Introduction
11.6.4 GigaSpaces Technologies Revenue in In-Memory Data Grids Software Business (2018-2023)
11.6.5 GigaSpaces Technologies Recent Development
11.7 TIBCO Software
11.7.1 TIBCO Software Company Detail
11.7.2 TIBCO Software Business Overview
11.7.3 TIBCO Software In-Memory Data Grids Software Introduction
11.7.4 TIBCO Software Revenue in In-Memory Data Grids Software Business (2018-2023)
11.7.5 TIBCO Software Recent Development
11.8 IBM
11.8.1 IBM Company Detail
11.8.2 IBM Business Overview
11.8.3 IBM In-Memory Data Grids Software Introduction
11.8.4 IBM Revenue in In-Memory Data Grids Software Business (2018-2023)
11.8.5 IBM Recent Development
11.9 Red Hat
11.9.1 Red Hat Company Detail
11.9.2 Red Hat Business Overview
11.9.3 Red Hat In-Memory Data Grids Software Introduction
11.9.4 Red Hat Revenue in In-Memory Data Grids Software Business (2018-2023)
11.9.5 Red Hat Recent Development
11.10 Fujitsu
11.10.1 Fujitsu Company Detail
11.10.2 Fujitsu Business Overview
11.10.3 Fujitsu In-Memory Data Grids Software Introduction
11.10.4 Fujitsu Revenue in In-Memory Data Grids Software Business (2018-2023)
11.10.5 Fujitsu Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Hazelcast
Scaleout Software Inc
Software AG
GridGain
Pivotal
GigaSpaces Technologies
TIBCO Software
IBM
Red Hat
Fujitsu
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*If Applicable.
