Operational Database Management Systems Software Market

The operational database management system (OPDBMS) market is defined by relational and nonrelational database management products suitable for the traditional transactions used to support business processes. These include a broad range of enterprise-level applications ? both purchased business applications, such as ERP and CRM applications, and custom-made transactional systems. Our definition of this market also includes DBMS products that support interactions and event processing (data in motion) uses for the Internet of Things (IoT). OPDBMSs may support multiple different delivery models, such as stand-alone DBMS software, cloud (public and private) images or containerized versions, certified configurations and database appliances.

Operational Database Management Systems Software Market contains market size and forecasts of Operational Database Management Systems (OPDBMS) Software in Global, including the following market information:

Global Operational Database Management Systems (OPDBMS) Software Market Revenue, 2017-2022, 2023-2028, ($ millions)

Global top five companies in 2021 (%)

The global Operational Database Management Systems (OPDBMS) Software market was valued at million in 2021 and is projected to reach US$ million by 2028, at a CAGR of % during the forecast period.

The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.

Cloud-based Segment to Reach $ Million by 2028, with a % CAGR in next six years.

The global key manufacturers of Operational Database Management Systems (OPDBMS) Software include Oracle, Microsoft, SAP SE, IBM, Amazon Web Services, Google, Fujitsu, MarkLogic and InterSystems, etc. In 2021, the global top five players have a share approximately % in terms of revenue.

We surveyed the Operational Database Management Systems (OPDBMS) 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 Operational Database Management Systems (OPDBMS) Software Market, by Type, 2017-2022, 2023-2028 ($ millions)

Global Operational Database Management Systems (OPDBMS) Software Market Segment Percentages, by Type, 2021 (%)

• Cloud-based
• On-premises

Global Operational Database Management Systems (OPDBMS) Software Market, by Application, 2017-2022, 2023-2028 ($ millions)

Global Operational Database Management Systems (OPDBMS) Software Market Segment Percentages, by Application, 2021 (%)

• Relational Database Management
• Nonrelational Database Management

Global Operational Database Management Systems (OPDBMS) Software Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)

Global Operational Database Management Systems (OPDBMS) Software Market Segment Percentages, By Region and Country, 2021 (%)

• 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 Operational Database Management Systems (OPDBMS) Software revenues in global market, 2017-2022 (estimated), ($ millions)
• Key companies Operational Database Management Systems (OPDBMS) Software revenues share in global market, 2021 (%)

Further, the report presents profiles of competitors in the market, key players include:

• Oracle
• Microsoft
• SAP SE
• IBM
• Amazon Web Services
• Google
• Fujitsu
• MarkLogic
• InterSystems
• MongoDB
• Aerospike
• Datastax
• Redis Labs
• Enterprise DB
• SQLite
• MariaDB
• ArangoDB
• Couchbase
• Hibernating Rhinos
• InfluxData
• Alibaba Cloud
• MapR Technologies
• TmaxSoft
• Transwarp
• Neo4j
• Tencent Cloud
• NuoDB
• MemSQL
• Progress
• SequoiaDB