Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Distributed Relational Database Market by Type (On-premise, Cloud Based), By Application (Large Enterprise, SMEs) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Distributed Relational Database Market by Type (On-premise, Cloud Based), By Application (Large Enterprise, SMEs) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 239064 4200 Service & Software 377 222 Pages 4.7 (47)
                                          

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.


Global Distributed Relational Database Industry Outlook


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:

  1. Amazon
  2. Google
  3. PingCAP
  4. Cockroach Labs
  5. Yugabyte
  6. Clustrix
  7. Teradata
  8. Oracle
  9. CRATE Technology GmbH
  10. IBM
  11. Alibaba Group
  12. Huawei

Global Distributed Relational Database Market Overview


Highlights of The Distributed Relational Database Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. On-premise
    2. Cloud Based
  1. By Application:

    1. Large Enterprise
    2. SMEs
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. 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.

How you may use our products:

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Global Distributed Relational Database Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. 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

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