A distributed in-memory database is a database system that stores data in distributed memory to provide high performance and scalability. Such database systems typically load data into memory to speed up data access and achieve horizontal scalability by distributing data across multiple nodes to handle large-scale data and high concurrent requests.
The global Distributed In-Memory Database market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for Distributed In-Memory Database is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Distributed In-Memory Database is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Distributed In-Memory Database in Transactional Applications is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Distributed In-Memory Database include Redis Labs, Hazelcast, GridGain Systems, Aerospike, SingleStore, Broadcom, GigaSpaces, ScaleOut Software, Shenzhen Tianyuan DIC Information Technology, Couchbase, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Distributed In-Memory Database, 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 Distributed In-Memory Database.
The Distributed In-Memory Database market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Distributed In-Memory Database 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 Distributed In-Memory Database 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.
Market Segmentation
By Company
Redis Labs
Hazelcast
GridGain Systems
Aerospike
SingleStore
Broadcom
GigaSpaces
ScaleOut Software
Shenzhen Tianyuan DIC Information Technology
Couchbase
VoltDB
Alachisoft
GridGain
TmaxSoft
Oracle
SAP
Microsoft
Amazon
Exasol
Altibase
Apache
ArangoDB
Terracotta
McObject
Segment by Type
Non-relational Database
Relational Database
Segment by Application
Transactional Applications
IoT Data
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 Distributed In-Memory Database company 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 main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Distributed In-Memory Database Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Non-relational Database
1.2.3 Relational Database
1.3 Market by Application
1.3.1 Global Distributed In-Memory Database Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Transactional Applications
1.3.3 IoT Data
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Distributed In-Memory Database Market Perspective (2019-2030)
2.2 Global Distributed In-Memory Database Growth Trends by Region
2.2.1 Global Distributed In-Memory Database Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Distributed In-Memory Database Historic Market Size by Region (2019-2024)
2.2.3 Distributed In-Memory Database Forecasted Market Size by Region (2025-2030)
2.3 Distributed In-Memory Database Market Dynamics
2.3.1 Distributed In-Memory Database Industry Trends
2.3.2 Distributed In-Memory Database Market Drivers
2.3.3 Distributed In-Memory Database Market Challenges
2.3.4 Distributed In-Memory Database Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Distributed In-Memory Database Players by Revenue
3.1.1 Global Top Distributed In-Memory Database Players by Revenue (2019-2024)
3.1.2 Global Distributed In-Memory Database Revenue Market Share by Players (2019-2024)
3.2 Global Distributed In-Memory Database Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Distributed In-Memory Database Revenue
3.4 Global Distributed In-Memory Database Market Concentration Ratio
3.4.1 Global Distributed In-Memory Database Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Distributed In-Memory Database Revenue in 2023
3.5 Global Key Players of Distributed In-Memory Database Head office and Area Served
3.6 Global Key Players of Distributed In-Memory Database, Product and Application
3.7 Global Key Players of Distributed In-Memory Database, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Distributed In-Memory Database Breakdown Data by Type
4.1 Global Distributed In-Memory Database Historic Market Size by Type (2019-2024)
4.2 Global Distributed In-Memory Database Forecasted Market Size by Type (2025-2030)
5 Distributed In-Memory Database Breakdown Data by Application
5.1 Global Distributed In-Memory Database Historic Market Size by Application (2019-2024)
5.2 Global Distributed In-Memory Database Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Distributed In-Memory Database Market Size (2019-2030)
6.2 North America Distributed In-Memory Database Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Distributed In-Memory Database Market Size by Country (2019-2024)
6.4 North America Distributed In-Memory Database Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Distributed In-Memory Database Market Size (2019-2030)
7.2 Europe Distributed In-Memory Database Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Distributed In-Memory Database Market Size by Country (2019-2024)
7.4 Europe Distributed In-Memory Database Market Size by Country (2025-2030)
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 Distributed In-Memory Database Market Size (2019-2030)
8.2 Asia-Pacific Distributed In-Memory Database Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Distributed In-Memory Database Market Size by Region (2019-2024)
8.4 Asia-Pacific Distributed In-Memory Database Market Size by Region (2025-2030)
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 Distributed In-Memory Database Market Size (2019-2030)
9.2 Latin America Distributed In-Memory Database Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Distributed In-Memory Database Market Size by Country (2019-2024)
9.4 Latin America Distributed In-Memory Database Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Distributed In-Memory Database Market Size (2019-2030)
10.2 Middle East & Africa Distributed In-Memory Database Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Distributed In-Memory Database Market Size by Country (2019-2024)
10.4 Middle East & Africa Distributed In-Memory Database Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Redis Labs
11.1.1 Redis Labs Company Details
11.1.2 Redis Labs Business Overview
11.1.3 Redis Labs Distributed In-Memory Database Introduction
11.1.4 Redis Labs Revenue in Distributed In-Memory Database Business (2019-2024)
11.1.5 Redis Labs Recent Development
11.2 Hazelcast
11.2.1 Hazelcast Company Details
11.2.2 Hazelcast Business Overview
11.2.3 Hazelcast Distributed In-Memory Database Introduction
11.2.4 Hazelcast Revenue in Distributed In-Memory Database Business (2019-2024)
11.2.5 Hazelcast Recent Development
11.3 GridGain Systems
11.3.1 GridGain Systems Company Details
11.3.2 GridGain Systems Business Overview
11.3.3 GridGain Systems Distributed In-Memory Database Introduction
11.3.4 GridGain Systems Revenue in Distributed In-Memory Database Business (2019-2024)
11.3.5 GridGain Systems Recent Development
11.4 Aerospike
11.4.1 Aerospike Company Details
11.4.2 Aerospike Business Overview
11.4.3 Aerospike Distributed In-Memory Database Introduction
11.4.4 Aerospike Revenue in Distributed In-Memory Database Business (2019-2024)
11.4.5 Aerospike Recent Development
11.5 SingleStore
11.5.1 SingleStore Company Details
11.5.2 SingleStore Business Overview
11.5.3 SingleStore Distributed In-Memory Database Introduction
11.5.4 SingleStore Revenue in Distributed In-Memory Database Business (2019-2024)
11.5.5 SingleStore Recent Development
11.6 Broadcom
11.6.1 Broadcom Company Details
11.6.2 Broadcom Business Overview
11.6.3 Broadcom Distributed In-Memory Database Introduction
11.6.4 Broadcom Revenue in Distributed In-Memory Database Business (2019-2024)
11.6.5 Broadcom Recent Development
11.7 GigaSpaces
11.7.1 GigaSpaces Company Details
11.7.2 GigaSpaces Business Overview
11.7.3 GigaSpaces Distributed In-Memory Database Introduction
11.7.4 GigaSpaces Revenue in Distributed In-Memory Database Business (2019-2024)
11.7.5 GigaSpaces Recent Development
11.8 ScaleOut Software
11.8.1 ScaleOut Software Company Details
11.8.2 ScaleOut Software Business Overview
11.8.3 ScaleOut Software Distributed In-Memory Database Introduction
11.8.4 ScaleOut Software Revenue in Distributed In-Memory Database Business (2019-2024)
11.8.5 ScaleOut Software Recent Development
11.9 Shenzhen Tianyuan DIC Information Technology
11.9.1 Shenzhen Tianyuan DIC Information Technology Company Details
11.9.2 Shenzhen Tianyuan DIC Information Technology Business Overview
11.9.3 Shenzhen Tianyuan DIC Information Technology Distributed In-Memory Database Introduction
11.9.4 Shenzhen Tianyuan DIC Information Technology Revenue in Distributed In-Memory Database Business (2019-2024)
11.9.5 Shenzhen Tianyuan DIC Information Technology Recent Development
11.10 Couchbase
11.10.1 Couchbase Company Details
11.10.2 Couchbase Business Overview
11.10.3 Couchbase Distributed In-Memory Database Introduction
11.10.4 Couchbase Revenue in Distributed In-Memory Database Business (2019-2024)
11.10.5 Couchbase Recent Development
11.11 VoltDB
11.11.1 VoltDB Company Details
11.11.2 VoltDB Business Overview
11.11.3 VoltDB Distributed In-Memory Database Introduction
11.11.4 VoltDB Revenue in Distributed In-Memory Database Business (2019-2024)
11.11.5 VoltDB Recent Development
11.12 Alachisoft
11.12.1 Alachisoft Company Details
11.12.2 Alachisoft Business Overview
11.12.3 Alachisoft Distributed In-Memory Database Introduction
11.12.4 Alachisoft Revenue in Distributed In-Memory Database Business (2019-2024)
11.12.5 Alachisoft Recent Development
11.13 GridGain
11.13.1 GridGain Company Details
11.13.2 GridGain Business Overview
11.13.3 GridGain Distributed In-Memory Database Introduction
11.13.4 GridGain Revenue in Distributed In-Memory Database Business (2019-2024)
11.13.5 GridGain Recent Development
11.14 TmaxSoft
11.14.1 TmaxSoft Company Details
11.14.2 TmaxSoft Business Overview
11.14.3 TmaxSoft Distributed In-Memory Database Introduction
11.14.4 TmaxSoft Revenue in Distributed In-Memory Database Business (2019-2024)
11.14.5 TmaxSoft Recent Development
11.15 Oracle
11.15.1 Oracle Company Details
11.15.2 Oracle Business Overview
11.15.3 Oracle Distributed In-Memory Database Introduction
11.15.4 Oracle Revenue in Distributed In-Memory Database Business (2019-2024)
11.15.5 Oracle Recent Development
11.16 SAP
11.16.1 SAP Company Details
11.16.2 SAP Business Overview
11.16.3 SAP Distributed In-Memory Database Introduction
11.16.4 SAP Revenue in Distributed In-Memory Database Business (2019-2024)
11.16.5 SAP Recent Development
11.17 Microsoft
11.17.1 Microsoft Company Details
11.17.2 Microsoft Business Overview
11.17.3 Microsoft Distributed In-Memory Database Introduction
11.17.4 Microsoft Revenue in Distributed In-Memory Database Business (2019-2024)
11.17.5 Microsoft Recent Development
11.18 Amazon
11.18.1 Amazon Company Details
11.18.2 Amazon Business Overview
11.18.3 Amazon Distributed In-Memory Database Introduction
11.18.4 Amazon Revenue in Distributed In-Memory Database Business (2019-2024)
11.18.5 Amazon Recent Development
11.19 Exasol
11.19.1 Exasol Company Details
11.19.2 Exasol Business Overview
11.19.3 Exasol Distributed In-Memory Database Introduction
11.19.4 Exasol Revenue in Distributed In-Memory Database Business (2019-2024)
11.19.5 Exasol Recent Development
11.20 Altibase
11.20.1 Altibase Company Details
11.20.2 Altibase Business Overview
11.20.3 Altibase Distributed In-Memory Database Introduction
11.20.4 Altibase Revenue in Distributed In-Memory Database Business (2019-2024)
11.20.5 Altibase Recent Development
11.21 Apache
11.21.1 Apache Company Details
11.21.2 Apache Business Overview
11.21.3 Apache Distributed In-Memory Database Introduction
11.21.4 Apache Revenue in Distributed In-Memory Database Business (2019-2024)
11.21.5 Apache Recent Development
11.22 ArangoDB
11.22.1 ArangoDB Company Details
11.22.2 ArangoDB Business Overview
11.22.3 ArangoDB Distributed In-Memory Database Introduction
11.22.4 ArangoDB Revenue in Distributed In-Memory Database Business (2019-2024)
11.22.5 ArangoDB Recent Development
11.23 Terracotta
11.23.1 Terracotta Company Details
11.23.2 Terracotta Business Overview
11.23.3 Terracotta Distributed In-Memory Database Introduction
11.23.4 Terracotta Revenue in Distributed In-Memory Database Business (2019-2024)
11.23.5 Terracotta Recent Development
11.24 McObject
11.24.1 McObject Company Details
11.24.2 McObject Business Overview
11.24.3 McObject Distributed In-Memory Database Introduction
11.24.4 McObject Revenue in Distributed In-Memory Database Business (2019-2024)
11.24.5 McObject Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Redis Labs
Hazelcast
GridGain Systems
Aerospike
SingleStore
Broadcom
GigaSpaces
ScaleOut Software
Shenzhen Tianyuan DIC Information Technology
Couchbase
VoltDB
Alachisoft
GridGain
TmaxSoft
Oracle
SAP
Microsoft
Amazon
Exasol
Altibase
Apache
ArangoDB
Terracotta
McObject
听
听
*If Applicable.
