Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Big Data Integration Platform Market by Type (Cloud Based, Web Based), 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 Big Data Integration Platform Market by Type (Cloud Based, Web Based), 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: 231145 4200 Service & Software 377 249 Pages 4.8 (49)
                                          

Market Overview:


The global big data integration platform market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for big data integration platforms from large enterprises and SMEs across the globe. Additionally, the growing trend of cloud-based big data integration platforms is also contributing to the growth of this market. However, lack of awareness about big data integration platforms among end users is restraining the growth of this market.


Global Big Data Integration Platform Industry Outlook


Product Definition:


A big data integration platform is a software system used to collect, process and integrate huge sets of data from disparate sources. The importance of a big data integration platform is that it enables companies to make use of the vast amounts of data they are collecting, in order to improve their business operations.


Cloud Based:


Cloud-based solutions are expected to gain traction in the forthcoming years owing to factors such as low cost of maintenance, easy deployment and high scalability. The big data integration platform market is also anticipated to witness significant growth over the forecast period owing to increasing demand for real time data analytics. Cloud based solutions offer a highly scalable environment that helps organizations achieve higher efficiency with their business processes and reduces operational costs significantly by delivering automated services through virtualization technology.


Web Based:


The web-based big data integration platform is a collection of software and hardware that provides an environment for the storage, management, analysis and transmission of large volumes of information. The term “web-based” in this context does not mean that the system is hosted on some server in a data center; instead it means that the system can be accessed via any computer with an internet connection from anywhere across the globe.


Application Insights:


The large enterprises segment dominated the global big data integration platform market in 2017. This is attributed to factors such as extensive usage of enterprise resource (ERP) systems, which support the seamless flow of data from various sources and provide a unified view of the organization. Furthermore, growing adoption of Hadoop in large enterprises for analytics and reporting purposes is also expected to drive growth over the forecast period.


The Small & Medium-sized Enterprises (SMEs) segment accounted for a significant share owing to factors such as limited computing resources at SMEs and need for efficient information management across different applications. The need to manage diverse data types including financial, technical, marketing & sales leads among others has led SMEs towards adopting big data integration platforms over recent years.


Regional Analysis:


North America dominated the market in 2017 owing to the presence of a large number of technology providers and solution vendors. The region is expected to maintain its dominance over the forecast period, with U.S. as its hub. Asia Pacific is projected to be fastest-growing regional market from 2018 to 2030 due to increasing investments by various governments for developing big data integration platform solutions and growing adoption by small & medium enterprises (SMEs).


The European government has launched several initiatives such as Horizon 2020 Strategy and Digital Europe Programme for encouraging innovation through digitalization across all sectors in the region thereby driving demand for BDI platforms in public administration sector which includes departments such as tax & customs, immigration etc., across countries such as Belgium, France, Germany Italy etc.


Growth Factors:


  • Increasing demand for big data integration platform from small and medium businesses (SMBs) due to the growing need for data-driven decision making.
  • The increasing popularity of cloud-based big data integration platforms, which makes it easier and faster to deploy these platforms, thus reducing the time to value.
  • The growing demand for self-service big data integration tools that allow business users to easily connect to and integrate different types of data on their own.
  • The increasing use of artificial intelligence (AI) and machine learning (ML) technologies in big data integration platforms, which helps organizations make better decisions by analyzing large amounts of data quickly and accurately.
  • The rising trend of digital transformation across all industries, which is driving the need for more efficient and effective ways to collect, process, analyze, and act on large volumes of digital information

Scope Of The Report

Report Attributes

Report Details

Report Title

Big Data Integration Platform Market Research Report

By Type

Cloud Based, Web Based

By Application

Large Enterprises, SMEs

By Companies

IBM, SnapLogic, Azure Data Factory (ADF), Apache NiFi, Talend, Information Builders, Data Virtuality, Apache Sqoop, Denodo, Apache Gobblin, HVR, Oracle

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

249

Number of Tables & Figures

175

Customization Available

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


Global Big Data Integration Platform Market Report Segments:

The global Big Data Integration Platform market is segmented on the basis of:

Types

Cloud Based, Web 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 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. IBM
  2. SnapLogic
  3. Azure Data Factory (ADF)
  4. Apache NiFi
  5. Talend
  6. Information Builders
  7. Data Virtuality
  8. Apache Sqoop
  9. Denodo
  10. Apache Gobblin
  11. HVR
  12. Oracle

Global Big Data Integration Platform Market Overview


Highlights of The Big Data Integration Platform 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. Cloud Based
    2. Web Based
  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 Big Data Integration Platform 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
  • Market Entry Strategies
  • Business Expansion Strategies
  • Consumer Insights
  • Understanding Competition Scenario
  • Product & Brand Management
  • Channel & Customer Management
  • Identifying Appropriate Advertising Appeals

Global Big Data Integration Platform 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 Big Data Integration Platform (BDIP) is a software platform that helps organizations manage and integrate data from multiple sources. BDIPs can help organizations process large amounts of data quickly and efficiently, making it easier to identify trends and make informed decisions.

Some of the major players in the big data integration platform market are IBM, SnapLogic, Azure Data Factory (ADF), Apache NiFi, Talend, Information Builders, Data Virtuality, Apache Sqoop, Denodo, Apache Gobblin, HVR, Oracle.

The big data integration platform market is expected to grow at a compound annual growth rate of 16.5%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Big Data Integration Platform 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 Big Data Integration Platform Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Big Data Integration Platform 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 Big Data Integration Platform 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 Big Data Integration Platform Market Size & Forecast, 2018-2028       4.5.1 Big Data Integration Platform Market Size and Y-o-Y Growth       4.5.2 Big Data Integration Platform Market Absolute $ Opportunity

Chapter 5 Global Big Data Integration Platform 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 Big Data Integration Platform Market Size Forecast by Type
      5.2.1 Cloud Based
      5.2.2 Web Based
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Big Data Integration Platform 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 Big Data Integration Platform Market Size Forecast by Applications
      6.2.1 Large Enterprises
      6.2.2 SMEs
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Big Data Integration Platform 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 Big Data Integration Platform 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 Big Data Integration Platform Analysis and Forecast
   9.1 Introduction
   9.2 North America Big Data Integration Platform 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 Big Data Integration Platform Market Size Forecast by Type
      9.6.1 Cloud Based
      9.6.2 Web 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 Big Data Integration Platform 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 Big Data Integration Platform Analysis and Forecast
   10.1 Introduction
   10.2 Europe Big Data Integration Platform 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 Big Data Integration Platform Market Size Forecast by Type
      10.6.1 Cloud Based
      10.6.2 Web 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 Big Data Integration Platform 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 Big Data Integration Platform Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Big Data Integration Platform 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 Big Data Integration Platform Market Size Forecast by Type
      11.6.1 Cloud Based
      11.6.2 Web 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 Big Data Integration Platform 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 Big Data Integration Platform Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Big Data Integration Platform 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 Big Data Integration Platform Market Size Forecast by Type
      12.6.1 Cloud Based
      12.6.2 Web 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 Big Data Integration Platform 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) Big Data Integration Platform Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Big Data Integration Platform 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) Big Data Integration Platform Market Size Forecast by Type
      13.6.1 Cloud Based
      13.6.2 Web 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) Big Data Integration Platform 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 Big Data Integration Platform Market: Competitive Dashboard
   14.2 Global Big Data Integration Platform Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 IBM
      14.3.2 SnapLogic
      14.3.3 Azure Data Factory (ADF)
      14.3.4 Apache NiFi
      14.3.5 Talend
      14.3.6 Information Builders
      14.3.7 Data Virtuality
      14.3.8 Apache Sqoop
      14.3.9 Denodo
      14.3.10 Apache Gobblin
      14.3.11 HVR
      14.3.12 Oracle

Our Trusted Clients

Contact Us