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Home > In-Memory Data Grids Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

In-Memory Data Grids Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID: 
PB510241580
Publication Date: 
October 28, 2024
Pages: 
107
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 3,950.00

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IT Services [2]
Computing & Electronics [3]
Description: 

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.
The global market for In-Memory Data Grids Software was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for In-Memory Data Grids Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for In-Memory Data Grids Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for In-Memory Data Grids Software was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key 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 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for In-Memory Data Grids Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of In-Memory Data Grids Software by region & country, by Type, and by Application.
The In-Memory Data Grids Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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.
Market Segmentation
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
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of In-Memory Data Grids Software manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of In-Memory Data Grids Software in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of In-Memory Data Grids Software in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents: 

1 Market Overview
1.1 In-Memory Data Grids Software Product Introduction
1.2 Global In-Memory Data Grids Software Market Size Forecast
1.3 In-Memory Data Grids Software Market Trends & Drivers
1.3.1 In-Memory Data Grids Software Industry Trends
1.3.2 In-Memory Data Grids Software Market Drivers & Opportunity
1.3.3 In-Memory Data Grids Software Market Challenges
1.3.4 In-Memory Data Grids Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global In-Memory Data Grids Software Players Revenue Ranking (2023)
2.2 Global In-Memory Data Grids Software Revenue by Company (2019-2024)
2.3 Key Companies In-Memory Data Grids Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies In-Memory Data Grids Software Product Offered
2.5 Key Companies Time to Begin Mass Production of In-Memory Data Grids Software
2.6 In-Memory Data Grids Software Market Competitive Analysis
2.6.1 In-Memory Data Grids Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by In-Memory Data Grids Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in In-Memory Data Grids Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud-Based
3.1.2 On-Premises
3.2 Global In-Memory Data Grids Software Sales Value by Type
3.2.1 Global In-Memory Data Grids Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global In-Memory Data Grids Software Sales Value, by Type (2019-2030)
3.2.3 Global In-Memory Data Grids Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises (1000+Users)
4.1.2 Medium-Sized Enterprise (499-1000 Users)
4.1.3 Small Enterprises (1-499Users)
4.2 Global In-Memory Data Grids Software Sales Value by Application
4.2.1 Global In-Memory Data Grids Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global In-Memory Data Grids Software Sales Value, by Application (2019-2030)
4.2.3 Global In-Memory Data Grids Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global In-Memory Data Grids Software Sales Value by Region
5.1.1 Global In-Memory Data Grids Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global In-Memory Data Grids Software Sales Value by Region (2019-2024)
5.1.3 Global In-Memory Data Grids Software Sales Value by Region (2025-2030)
5.1.4 Global In-Memory Data Grids Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America In-Memory Data Grids Software Sales Value, 2019-2030
5.2.2 North America In-Memory Data Grids Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe In-Memory Data Grids Software Sales Value, 2019-2030
5.3.2 Europe In-Memory Data Grids Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific In-Memory Data Grids Software Sales Value, 2019-2030
5.4.2 Asia Pacific In-Memory Data Grids Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America In-Memory Data Grids Software Sales Value, 2019-2030
5.5.2 South America In-Memory Data Grids Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa In-Memory Data Grids Software Sales Value, 2019-2030
5.6.2 Middle East & Africa In-Memory Data Grids Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions In-Memory Data Grids Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions In-Memory Data Grids Software Sales Value
6.3 United States
6.3.1 United States In-Memory Data Grids Software Sales Value, 2019-2030
6.3.2 United States In-Memory Data Grids Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States In-Memory Data Grids Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe In-Memory Data Grids Software Sales Value, 2019-2030
6.4.2 Europe In-Memory Data Grids Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe In-Memory Data Grids Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China In-Memory Data Grids Software Sales Value, 2019-2030
6.5.2 China In-Memory Data Grids Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China In-Memory Data Grids Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan In-Memory Data Grids Software Sales Value, 2019-2030
6.6.2 Japan In-Memory Data Grids Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan In-Memory Data Grids Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea In-Memory Data Grids Software Sales Value, 2019-2030
6.7.2 South Korea In-Memory Data Grids Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea In-Memory Data Grids Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia In-Memory Data Grids Software Sales Value, 2019-2030
6.8.2 Southeast Asia In-Memory Data Grids Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia In-Memory Data Grids Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India In-Memory Data Grids Software Sales Value, 2019-2030
6.9.2 India In-Memory Data Grids Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India In-Memory Data Grids Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Hazelcast
7.1.1 Hazelcast Profile
7.1.2 Hazelcast Main Business
7.1.3 Hazelcast In-Memory Data Grids Software Products, Services and Solutions
7.1.4 Hazelcast In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.1.5 Hazelcast Recent Developments
7.2 Scaleout Software Inc
7.2.1 Scaleout Software Inc Profile
7.2.2 Scaleout Software Inc Main Business
7.2.3 Scaleout Software Inc In-Memory Data Grids Software Products, Services and Solutions
7.2.4 Scaleout Software Inc In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.2.5 Scaleout Software Inc Recent Developments
7.3 Software AG
7.3.1 Software AG Profile
7.3.2 Software AG Main Business
7.3.3 Software AG In-Memory Data Grids Software Products, Services and Solutions
7.3.4 Software AG In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.3.5 GridGain Recent Developments
7.4 GridGain
7.4.1 GridGain Profile
7.4.2 GridGain Main Business
7.4.3 GridGain In-Memory Data Grids Software Products, Services and Solutions
7.4.4 GridGain In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.4.5 GridGain Recent Developments
7.5 Pivotal
7.5.1 Pivotal Profile
7.5.2 Pivotal Main Business
7.5.3 Pivotal In-Memory Data Grids Software Products, Services and Solutions
7.5.4 Pivotal In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.5.5 Pivotal Recent Developments
7.6 GigaSpaces Technologies
7.6.1 GigaSpaces Technologies Profile
7.6.2 GigaSpaces Technologies Main Business
7.6.3 GigaSpaces Technologies In-Memory Data Grids Software Products, Services and Solutions
7.6.4 GigaSpaces Technologies In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.6.5 GigaSpaces Technologies Recent Developments
7.7 TIBCO Software
7.7.1 TIBCO Software Profile
7.7.2 TIBCO Software Main Business
7.7.3 TIBCO Software In-Memory Data Grids Software Products, Services and Solutions
7.7.4 TIBCO Software In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.7.5 TIBCO Software Recent Developments
7.8 IBM
7.8.1 IBM Profile
7.8.2 IBM Main Business
7.8.3 IBM In-Memory Data Grids Software Products, Services and Solutions
7.8.4 IBM In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.8.5 IBM Recent Developments
7.9 Red Hat
7.9.1 Red Hat Profile
7.9.2 Red Hat Main Business
7.9.3 Red Hat In-Memory Data Grids Software Products, Services and Solutions
7.9.4 Red Hat In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.9.5 Red Hat Recent Developments
7.10 Fujitsu
7.10.1 Fujitsu Profile
7.10.2 Fujitsu Main Business
7.10.3 Fujitsu In-Memory Data Grids Software Products, Services and Solutions
7.10.4 Fujitsu In-Memory Data Grids Software Revenue (US$ Million) & (2019-2024)
7.10.5 Fujitsu Recent Developments
8 Industry Chain Analysis
8.1 In-Memory Data Grids Software Industrial Chain
8.2 In-Memory Data Grids Software Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 In-Memory Data Grids Software Sales Model
8.5.2 Sales Channel
8.5.3 In-Memory Data Grids Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned: 

Hazelcast
Scaleout Software Inc
Software AG
GridGain
Pivotal
GigaSpaces Technologies
TIBCO Software
IBM
Red Hat
Fujitsu

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