Market Overview:
The global data management solutions for analytics market is expected to grow at a CAGR of 10.8% from 2018 to 2030. The growth of the market can be attributed to the increasing demand for big data and analytics solutions, rising need for data governance and compliance, and growing trend of cloud-based deployments. The global data management solutions for analytics market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into open source data integration tools and cloud-based data integration tools. The open source data integration tools segment is expected to grow at a CAGR of 11% from 2018 to 2030 while the cloud-based data integration tools segment is expected to grow at a CAGR of 9% from 2018 to 2030. On the basis of application, small-sized enterprises are expected account for majority share in terms of revenue in 2018 followed by medium-sized enterprises and large enterprises respectively.
Product Definition:
Data management solutions for analytics allow businesses to manage and make use of their data in order to gain insights into their customers, operations and markets. Data management solutions provide a framework for organizing data, integrating new sources of information, cleansing and transforming data as needed and then deploying it in a form that is useful for analytics. By incorporating data management into an organization's overall business strategy, companies can make better decisions that improve performance across all areas of the business.
Open Source Data Integration Tools:
Open source data integration tools are used for processing and analyzing data. It is widely used in various industries such as BFSI, IT & telecom, healthcare, government and energy utilities owing to its benefits such as cost-effectiveness compared to other commercial software solutions. The major factor driving the growth of this market includes growing demand for big data analytics across different industry verticals due to factors such as increasing competition in the business world along with rising need for improved operational efficiency.
Cloud-based Data Integration Tools:
Cloud-based data integration tools are used for combining, moving, capturing and loading data from one cloud or on-premise environment to another. It helps in improving the speed and flexibility of business operations by providing a single platform for managing all kinds of information assets. Cloud-based data integration tools offer benefits such as reduced costs, increased reliability & scalability along with easy accessibility & deployment which is expected to drive the market growth over the forecast period.
Application Insights:
The small-sized enterprises segment held the largest share of over 60.0% in 2017. The segment is expected to witness significant growth during the forecast period, as these organizations are increasingly realigning their IT resources towards digital transformation initiatives and analytics applications for improved decision-making processes. These solutions help them in gaining insights from multiple data sources and present it in a unified manner for analysis, which helps them make better decisions regarding business operations.
Medium-sized enterprises accounted for a significant share of over 31.0%in 2017 owing to growing demand from end users to access their data through different digital channels (e-mail, website) and internal systems (ERP/ESP). This has led vendors offering integrated global data management solutions that enable seamless integration across various platforms including Microsoft SharePoint Online, Oracle Eloqua Content Platform or Salesforce1 Cloud Service Providers (CSPs).
Regional Analysis:
The North American region dominated the global market in 2017. The growth can be attributed to the presence of a large number of small- and medium-sized enterprises (SMEs) in this region, which is expected to grow further as per an article published by Forrester Research Inc. These SMEs are at the forefront of innovation and digital transformation, thereby driving demand for data management solutions for analytics among these organizations.
However, Asia Pacific is expected to emerge as the fastest growing regional market over the forecast period owing to increasing adoption by large enterprises operating across various industry verticals such as retail & e-commerce, manufacturing & production operations management (M&P OM), BFSI sector etc., especially in countries such as India and China. This can be attributed to increased spending on cloud computing infrastructure development projects undertaken by governments of these countries along with initiatives taken up by public sector units (PSUs).
Growth Factors:
- Increasing demand for data-driven decision making: The need for timely and accurate insights into business operations is driving the demand for data management solutions for analytics. Organizations are looking to manage and analyze growing volumes of data in order to make better decisions and improve performance.
- Proliferation of big data technologies: The growth of big data technologies is fueling the demand for data management solutions for analytics. Big data platforms provide organizations with the ability to store, process, and analyze large volumes of unstructured data quickly and efficiently. This is helping organizations gain deeper insights into their businesses and make better decisions faster.
- Emergence of self-service analytics: The emergence of self-service analytics is boosting the demand fordata management solutionsforanalytics . With self-service tools, business users can easily access corporate information without relying on IT staff or analysts to prepare reports or queries customized to their needs . This is empowering business users to make more informed decisions about their businesses independently .
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Management Solutions for Analytics Market Research Report
By Type
Open Source Data Integration Tools, Cloud-based Data Integration Tools
By Application
Small-Sized Enterprises, Medium-Sized Enterprise, Large Enterprises
By Companies
SAP, Informatica, Ataccama, Information Builders, &cperian, RedPoint Global, MIOsoft, Syncsort, Talend, IBM, Oracle, Innovative Systems, Flexera (formerly BDNA), Pitney Bowes, SAS, Melissa Data, Back Office Associates
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
245
Number of Tables & Figures
172
Customization Available
Yes, the report can be customized as per your need.
Global Data Management Solutions for Analytics Market Report Segments:
The global Data Management Solutions for Analytics market is segmented on the basis of:
Types
Open Source Data Integration Tools, Cloud-based Data Integration Tools
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
Small-Sized Enterprises, Medium-Sized Enterprise, Large Enterprises
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:
- SAP
- Informatica
- Ataccama
- Information Builders
- &cperian
- RedPoint Global
- MIOsoft
- Syncsort
- Talend
- IBM
- Oracle
- Innovative Systems
- Flexera (formerly BDNA)
- Pitney Bowes
- SAS
- Melissa Data
- Back Office Associates
Highlights of The Data Management Solutions for Analytics 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:
- Open Source Data Integration Tools
- Cloud-based Data Integration Tools
- By Application:
- Small-Sized Enterprises
- Medium-Sized Enterprise
- Large Enterprises
- 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 Data Management Solutions for Analytics 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:
- Correctly Positioning New Products
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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?
Data management solutions for analytics are designed to help organizations manage and analyze data more effectively. Solutions may include tools for data analysis, storage, retrieval, and sharing. They can also include guidance on how to use analytics to improve business decisions.
Some of the key players operating in the data management solutions for analytics market are SAP, Informatica, Ataccama, Information Builders, &cperian, RedPoint Global, MIOsoft, Syncsort, Talend, IBM, Oracle, Innovative Systems, Flexera (formerly BDNA), Pitney Bowes, SAS, Melissa Data, Back Office Associates.
The data management solutions for analytics market is expected to grow at a compound annual growth rate of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Management Solutions for Analytics 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 Data Management Solutions for Analytics Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data Management Solutions for Analytics 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 Data Management Solutions for Analytics 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 Data Management Solutions for Analytics Market Size & Forecast, 2020-2028
4.5.1 Data Management Solutions for Analytics Market Size and Y-o-Y Growth
4.5.2 Data Management Solutions for Analytics Market Absolute $ Opportunity
Chapter 5 Global 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 Market Size Forecast by Type
5.2.1 Open Source Data Integration Tools
5.2.2 Cloud-based Data Integration Tools
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global 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 Market Size Forecast by Applications
6.2.1 Small-Sized Enterprises
6.2.2 Medium-Sized Enterprise
6.2.3 Large Enterprises
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Management Solutions for Analytics 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 Data Management Solutions for Analytics 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 Analysis and Forecast
9.1 Introduction
9.2 North America 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 Market Size Forecast by Type
9.6.1 Open Source Data Integration Tools
9.6.2 Cloud-based Data Integration Tools
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 Market Size Forecast by Applications
9.10.1 Small-Sized Enterprises
9.10.2 Medium-Sized Enterprise
9.10.3 Large Enterprises
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 Analysis and Forecast
10.1 Introduction
10.2 Europe 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 Market Size Forecast by Type
10.6.1 Open Source Data Integration Tools
10.6.2 Cloud-based Data Integration Tools
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 Market Size Forecast by Applications
10.10.1 Small-Sized Enterprises
10.10.2 Medium-Sized Enterprise
10.10.3 Large Enterprises
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 Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific 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 Market Size Forecast by Type
11.6.1 Open Source Data Integration Tools
11.6.2 Cloud-based Data Integration Tools
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 Market Size Forecast by Applications
11.10.1 Small-Sized Enterprises
11.10.2 Medium-Sized Enterprise
11.10.3 Large Enterprises
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 Analysis and Forecast
12.1 Introduction
12.2 Latin America 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 Market Size Forecast by Type
12.6.1 Open Source Data Integration Tools
12.6.2 Cloud-based Data Integration Tools
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 Market Size Forecast by Applications
12.10.1 Small-Sized Enterprises
12.10.2 Medium-Sized Enterprise
12.10.3 Large Enterprises
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) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) 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) Market Size Forecast by Type
13.6.1 Open Source Data Integration Tools
13.6.2 Cloud-based Data Integration Tools
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) Market Size Forecast by Applications
13.10.1 Small-Sized Enterprises
13.10.2 Medium-Sized Enterprise
13.10.3 Large Enterprises
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 Data Management Solutions for Analytics Market: Competitive Dashboard
14.2 Global Data Management Solutions for Analytics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 SAP
14.3.2 Informatica
14.3.3 Ataccama
14.3.4 Information Builders
14.3.5 &cperian
14.3.6 RedPoint Global
14.3.7 MIOsoft
14.3.8 Syncsort
14.3.9 Talend
14.3.10 IBM
14.3.11 Oracle
14.3.12 Innovative Systems
14.3.13 Flexera (formerly BDNA)
14.3.14 Pitney Bowes
14.3.15 SAS
14.3.16 Melissa Data
14.3.17 Back Office Associates
