Market Overview:
The global distributed relational database market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for big data and analytics solutions, rising trend of cloud-based deployments, and growing need for real-time data processing. On the basis of type, the global distributed relational database market can be segmented into on-premise and cloud-based deployments. The on-premise deployment segment is expected to hold a larger share of the market during the forecast period. However, the cloud-based deployment segment is projected to grow at a higher CAGR due to its advantages such as scalability, flexibility, and cost efficiency. Based on application, the global distributed relational database market can be divided into large enterprises and SMEs. The large enterprises segment is anticipated to account for a larger share of this market during 2018–2030 owing to their need for robust databases that can handle heavy loads of data processing requirements.
Product Definition:
A distributed relational database is a collection of computers that act as one large, unified database. This type of database allows businesses to easily share information between different departments and locations. The importance of using a distributed relational database is that it enables companies to have a single view of their data, regardless of where it is located.
On-premise:
On-premise is a database management system that's installed and operated from the originating company’s data center. It has its advantages such as easy to maintain, upgrade and secure. However, it has some disadvantages such as high cost of initial set up which can be avoided if the system is used by several companies; also security issues are more in case of on-premise deployment.
Cloud Based:
Cloud Based is a term used for storing large amounts of data remotely using internet connectivity. The data can be accessed from any location in the world. It offers benefits such as reduced costs, increased scalability and reliability, and better security to the organizations. Cloud based solutions are gaining popularity among small businesses owing to its cost effectiveness which is expected to drive market growth over the forecast period.
Application Insights:
The large enterprise segment accounted for the largest revenue share of over 60% in 2017. The large enterprises are adopting DaaS, which provides a high level of abstraction to the application layer and offers several benefits including rapid innovation, flexibility and scalability. The major benefit offered by DaaS is that it reduces the total cost of ownership (TCO) by allowing organizations to spend more time on value-added activities such as strategic planning, marketing and sales promotion, product development etc. Increasing demand from medium-sized businesses (MBSes) & small & medium-sized enterprises (SMEs) is expected to drive the distributed relational database market over forecast period owing dates.
The SMEs segment accounted for a significant revenue share in 2017 due to increasing adoption across countries such as India, China Japan etc.
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of major players such as Oracle Corporation, Microsoft Corporation, IBM Corporation and Google Inc. in this region. Moreover, increasing demand for high-performance computing coupled with rapid technological advancements is expected to drive regional growth over the forecast period.
Asia Pacific is anticipated to witness significant growth over the forecast period owing to increasing adoption of cloud based distributed relational database by small and medium enterprises (SMEs). This can be attributed to cost benefits associated with using a cloud based solution as compared to an on-premise solution for distributed data storage and processing applications.
Growth Factors:
- Increasing demand for big data and analytics: The need for organizations to effectively manage and analyze large amounts of data is driving the adoption of distributed relational databases. These databases offer improved performance and scalability over traditional database systems, making them well-suited for big data applications.
- Proliferation of cloud computing: Cloud computing is providing a new way to deploy and use distributed relational databases. By moving these databases to the cloud, organizations can take advantage of on-demand scalability and pay-as-you-go pricing models. This is helping to drive wider adoption of these technologies.
- Emergence of NoSQL technologies: Distributed relational database vendors are facing increasing competition from NoSQL vendors, which are offering lower cost/performance alternatives for certain types of applications. However, many enterprises are finding that the flexibility offered by NoSQL technologies does not meet all their requirements, leading them back to distributed relational databases as a more suitable solution stack overall .
Scope Of The Report
Report Attributes
Report Details
Report Title
Distributed Relational Database Market Research Report
By Type
On-premise, Cloud Based
By Application
Large Enterprise, SMEs
By Companies
Amazon, Google, PingCAP, Cockroach Labs, Yugabyte, Clustrix, Teradata, Oracle, CRATE Technology GmbH, IBM, Alibaba Group, Huawei
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
222
Number of Tables & Figures
156
Customization Available
Yes, the report can be customized as per your need.
Global Distributed Relational Database Market Report Segments:
The global Distributed Relational Database market is segmented on the basis of:
Types
On-premise, Cloud Based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprise, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Amazon
- PingCAP
- Cockroach Labs
- Yugabyte
- Clustrix
- Teradata
- Oracle
- CRATE Technology GmbH
- IBM
- Alibaba Group
- Huawei
Highlights of The Distributed Relational Database Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-premise
- Cloud Based
- By Application:
- Large Enterprise
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Distributed Relational Database Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
A distributed relational database is a type of database that is used to store data across multiple computers. This type of database allows users to access the data from different locations without having to transfer the data back and forth.
Some of the key players operating in the distributed relational database market are Amazon, Google, PingCAP, Cockroach Labs, Yugabyte, Clustrix, Teradata, Oracle, CRATE Technology GmbH, IBM, Alibaba Group, Huawei.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Distributed Relational Database Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Distributed Relational Database Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Distributed Relational Database Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Distributed Relational Database Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Distributed Relational Database Market Size & Forecast, 2018-2028 4.5.1 Distributed Relational Database Market Size and Y-o-Y Growth 4.5.2 Distributed Relational Database Market Absolute $ Opportunity
Chapter 5 Global Distributed Relational Database Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Distributed Relational Database Market Size Forecast by Type
5.2.1 On-premise
5.2.2 Cloud Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Distributed Relational Database Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Distributed Relational Database Market Size Forecast by Applications
6.2.1 Large Enterprise
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Distributed Relational Database Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Distributed Relational Database Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Distributed Relational Database Analysis and Forecast
9.1 Introduction
9.2 North America Distributed Relational Database Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Distributed Relational Database Market Size Forecast by Type
9.6.1 On-premise
9.6.2 Cloud Based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Distributed Relational Database Market Size Forecast by Applications
9.10.1 Large Enterprise
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Distributed Relational Database Analysis and Forecast
10.1 Introduction
10.2 Europe Distributed Relational Database Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Distributed Relational Database Market Size Forecast by Type
10.6.1 On-premise
10.6.2 Cloud Based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Distributed Relational Database Market Size Forecast by Applications
10.10.1 Large Enterprise
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Distributed Relational Database Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Distributed Relational Database Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Distributed Relational Database Market Size Forecast by Type
11.6.1 On-premise
11.6.2 Cloud Based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Distributed Relational Database Market Size Forecast by Applications
11.10.1 Large Enterprise
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Distributed Relational Database Analysis and Forecast
12.1 Introduction
12.2 Latin America Distributed Relational Database Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Distributed Relational Database Market Size Forecast by Type
12.6.1 On-premise
12.6.2 Cloud Based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Distributed Relational Database Market Size Forecast by Applications
12.10.1 Large Enterprise
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Distributed Relational Database Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Distributed Relational Database Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Distributed Relational Database Market Size Forecast by Type
13.6.1 On-premise
13.6.2 Cloud Based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Distributed Relational Database Market Size Forecast by Applications
13.10.1 Large Enterprise
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Distributed Relational Database Market: Competitive Dashboard
14.2 Global Distributed Relational Database Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Amazon
14.3.2 Google
14.3.3 PingCAP
14.3.4 Cockroach Labs
14.3.5 Yugabyte
14.3.6 Clustrix
14.3.7 Teradata
14.3.8 Oracle
14.3.9 CRATE Technology GmbH
14.3.10 IBM
14.3.11 Alibaba Group
14.3.12 Huawei