Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global On-Premise Data Integration Software Market by Type (Cleanse Data, Monitor Data, Transform Data), By Application (Large Enterprises, SMEs) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global On-Premise Data Integration Software Market by Type (Cleanse Data, Monitor Data, Transform Data), By Application (Large Enterprises, SMEs) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 282165 4200 Service & Software 377 224 Pages 5 (42)
                                          

Market Overview:


The global on-premise data integration software market is expected to grow at a CAGR of 10.8% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for data integration software from large enterprises and SMEs across different regions. Additionally, the growing trend of big data and analytics is also contributing to the growth of this market. On-premise data integration software is used for cleansing, monitoring, and transforming data into a format that can be used by business applications for reporting or analysis purposes. The key types of on-premise data integration software are cleanse data, monitor data, and transform data. These types are further divided into various subtypes depending on their usage and application requirements. SMEs are also increasingly adopting these solutions owingto their growing need for timely insights into business operationsand performance .


Global On-Premise Data Integration Software Industry Outlook


Product Definition:


On-premise data integration software is a type of software that helps organizations to integrate their data from various on-premise sources into a single, unified system. This type of software is important because it allows businesses to easily access and analyze all of their data in one place, which can help them make better decisions and improve their operations.


Cleanse Data:


Cleanse data is a software-as-a-service (SaaS) based on the principle of least privilege that provides granular access to only required APIs to users. It also ensures that no user has more access than necessary and reduces security risks by limiting API keys and their respective capabilities.


Monitor Data:


Monitor data is the information that is generated from a device used to observe or monitor an IT asset. It includes performance metrics, diagnostic data, and other information such as memory usage and network traffic. The most commonly used devices for monitoring are computers, laptops, tablets, smartphones etc.


The increasing demand for real-time analytics in various sectors including banking & finance and healthcare has led to the growth of on-premise data integration software market over the past few years.


Application Insights:


The large enterprises segment accounted for the largest revenue share of over 60% in 2017. The segment is driven by the growing demand from enterprises to integrate different on-premise systems and data sources. Large enterprise customers require on-premise software solutions that can help them gain insights from multiple data sources, cleanse bad data, and transform good data into valuable information in a organized fashion. These solutions also enable users to perform complex analysis quickly with greater accuracy.


SMEs are expected to be the fastest-growing application segment, expanding at a CAGR of XX% over the forecast period owing to increasing adoption of these products by small businesses and startups as they offer cost benefits, scalability & flexibility along with ease of use & implementation compared to their off-the-shelf counterparts. On premise integration software helps SMEs in integrating various systems such as sales & marketing applications, financial system with accounting system or HRMS etc.


Regional Analysis:


North America dominated the global on-premise data integration software market in 2017. This can be attributed to the presence of a large number of IT service providers and solution vendors in this region. The U.S., being one of the most developed economies, has a well-established infrastructure that is constantly evolving and changing due to various factors such as technological advancements, economic development, etc. Thus, it creates significant demand for data integration solutions that are flexible enough to handle changes in requirements over an extended period of time with minimal effort or cost involved by end users or management teams within organizations.


Asia Pacific is expected to emerge as the fastest growing regional market over the forecast period owing to increasing investments by prominent players for expanding their customer base and sales revenues through new product launches and partnerships with other industry players/solutions providers targeting specific vertical markets such as healthcare & life sciences; government & education; BFSI; retail & e-commerce among others).


Growth Factors:


  • Increasing demand for data-driven decision making: The on-premise data integration software market is expected to grow at a CAGR of 9.5% during the forecast period, owing to the increasing demand for data-driven decision making across various industries. Data integration helps in combining and consolidating different types of data from disparate sources into a single repository, which can be used for analysis and reporting purposes. This helps businesses make better and more informed decisions based on accurate and timely information.
  • Proliferation of big data technologies: The growth of big data technologies is one of the major drivers for the on-premise data integration software market. Bigdata refers to extremely large datasets that cannot be processed using traditional database management tools or applications due to their size and complexity. To handle this volume of unstructured information, businesses are increasingly adopting bigdata technologies such as Hadoop, MapReduce, Hive, Pig Latin, etc., which require efficient data integration solutions for extracting value from these datasets.

Scope Of The Report

Report Attributes

Report Details

Report Title

On-Premise Data Integration Software Market Research Report

By Type

Cleanse Data, Monitor Data, Transform Data

By Application

Large Enterprises, SMEs

By Companies

Microsoft SQL, webMethods, Informatica PowerCenter, Cleo, Riva, Quest, SmartCloud, Neuron, Relational Junction, ImportOmatic, SAP, Talend, Oracle, TIBCO

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

224

Number of Tables & Figures

157

Customization Available

Yes, the report can be customized as per your need.


Global On-Premise Data Integration Software Market Report Segments:

The global On-Premise Data Integration Software market is segmented on the basis of:

Types

Cleanse Data, Monitor Data, Transform Data

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 Enterprises, 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. Microsoft SQL
  2. webMethods
  3. Informatica PowerCenter
  4. Cleo
  5. Riva
  6. Quest
  7. SmartCloud
  8. Neuron
  9. Relational Junction
  10. ImportOmatic
  11. SAP
  12. Talend
  13. Oracle
  14. TIBCO

Global On-Premise Data Integration Software Market Overview


Highlights of The On-Premise Data Integration Software 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. Cleanse Data
    2. Monitor Data
    3. Transform Data
  1. By Application:

    1. Large Enterprises
    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 On-Premise Data Integration Software 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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Global On-Premise Data Integration Software 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?


On-premise data integration software is a software application that allows users to connect and manage data from different sources. This can include databases, file systems, email servers, and other applications. On-premise data integration software can also help users automate the process of connecting and managing this data.

Some of the key players operating in the on-premise data integration software market are Microsoft SQL, webMethods, Informatica PowerCenter, Cleo, Riva, Quest, SmartCloud, Neuron, Relational Junction, ImportOmatic, SAP, Talend, Oracle, TIBCO.

The on-premise data integration software 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 On-Premise Data Integration Software 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 On-Premise Data Integration Software Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 On-Premise Data Integration Software 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 On-Premise Data Integration Software 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 On-Premise Data Integration Software Market Size & Forecast, 2018-2028       4.5.1 On-Premise Data Integration Software Market Size and Y-o-Y Growth       4.5.2 On-Premise Data Integration Software Market Absolute $ Opportunity

Chapter 5 Global On-Premise Data Integration Software 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 On-Premise Data Integration Software Market Size Forecast by Type
      5.2.1 Cleanse Data
      5.2.2 Monitor Data
      5.2.3 Transform Data
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global On-Premise Data Integration Software 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 On-Premise Data Integration Software Market Size Forecast by Applications
      6.2.1 Large Enterprises
      6.2.2 SMEs
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global On-Premise Data Integration Software 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 On-Premise Data Integration Software 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 On-Premise Data Integration Software Analysis and Forecast
   9.1 Introduction
   9.2 North America On-Premise Data Integration Software 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 On-Premise Data Integration Software Market Size Forecast by Type
      9.6.1 Cleanse Data
      9.6.2 Monitor Data
      9.6.3 Transform Data
   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 On-Premise Data Integration Software Market Size Forecast by Applications
      9.10.1 Large Enterprises
      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 On-Premise Data Integration Software Analysis and Forecast
   10.1 Introduction
   10.2 Europe On-Premise Data Integration Software 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 On-Premise Data Integration Software Market Size Forecast by Type
      10.6.1 Cleanse Data
      10.6.2 Monitor Data
      10.6.3 Transform Data
   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 On-Premise Data Integration Software Market Size Forecast by Applications
      10.10.1 Large Enterprises
      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 On-Premise Data Integration Software Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific On-Premise Data Integration Software 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 On-Premise Data Integration Software Market Size Forecast by Type
      11.6.1 Cleanse Data
      11.6.2 Monitor Data
      11.6.3 Transform Data
   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 On-Premise Data Integration Software Market Size Forecast by Applications
      11.10.1 Large Enterprises
      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 On-Premise Data Integration Software Analysis and Forecast
   12.1 Introduction
   12.2 Latin America On-Premise Data Integration Software 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 On-Premise Data Integration Software Market Size Forecast by Type
      12.6.1 Cleanse Data
      12.6.2 Monitor Data
      12.6.3 Transform Data
   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 On-Premise Data Integration Software Market Size Forecast by Applications
      12.10.1 Large Enterprises
      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) On-Premise Data Integration Software Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) On-Premise Data Integration Software 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) On-Premise Data Integration Software Market Size Forecast by Type
      13.6.1 Cleanse Data
      13.6.2 Monitor Data
      13.6.3 Transform Data
   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) On-Premise Data Integration Software Market Size Forecast by Applications
      13.10.1 Large Enterprises
      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 On-Premise Data Integration Software Market: Competitive Dashboard
   14.2 Global On-Premise Data Integration Software Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 Microsoft SQL
      14.3.2 webMethods
      14.3.3 Informatica PowerCenter
      14.3.4 Cleo
      14.3.5 Riva
      14.3.6 Quest
      14.3.7 SmartCloud
      14.3.8 Neuron
      14.3.9 Relational Junction
      14.3.10 ImportOmatic
      14.3.11 SAP
      14.3.12 Talend
      14.3.13 Oracle
      14.3.14 TIBCO

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