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.
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:
- IBM
- SnapLogic
- Azure Data Factory (ADF)
- Apache NiFi
- Talend
- Information Builders
- Data Virtuality
- Apache Sqoop
- Denodo
- Apache Gobblin
- HVR
- Oracle
Highlights of The Big Data Integration Platform 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:
- Cloud Based
- Web Based
- By Application:
- Large Enterprises
- 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 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
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 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