Data Integration Market

Data Integration Market by Component (Tools and Services), Business Application (Marketing, Sales, Operations, Finance, and HR), Deployment Model, Organization Size, Vertical, and Region - Global Forecast to 2022

Report Code: TC 5249 May, 2017, by marketsandmarkets.com

[166 Pages Report] The overall data integration market is expected to grow from USD 6.44 billion in 2017 to USD 12.24 billion by 2022, at a CAGR of 13.7% from 2017 to 2022.

Data integration market growth is attributed to demand for tools combining several heterogeneous data sources and rise of cloud computing, creating demand for effective data integration tools and services. There has been a massive amount of data generation from multiple systems in various organizations. Data integration has provided relevant solutions to look into this data, as consolidated information in a consistent manner. The technology has provided a unified and consistent view to enterprise data. Major technologies used for data integration include ETL, EAI, and EII. Major applications of data integration lie in providing enterprise data warehouse required for business analytics and business intelligence needs. The base year considered for the study is 2016, and the forecast has been provided for the period between 2017 and 2022.

Market Dynamics

Drivers

  • Demand for tools that can combine several heterogeneous data sources
  • Rise of cloud computing creating a demand for effective data integration tools and practices

Restraints

  • Lack of expertise
  • Disharmony between modern data integration requirements and legacy systems
Opportunities
  • Increased inclination toward self-service data integration
  • Growing demand for open-source data integration tools
Challenges
  • Lack of standardization in enterprise data integration and management strategy
  • Lack of adoption of high-end ETL tools
  • Need for an upgraded data integration framework that incorporates big data platforms

Rise of cloud computing creating a demand for effective data integration tools and practices

Cloud computing has observed rapid growth in the recent past and the technology has been already adopted by many organizations and others are planning to adopt it to increase their operational efficiency and the profit margin by effectively leveraging data. The cloud computing technology has given a new path to organizations for capturing data from disparate sources such as connected remote sensors in industrial use cases, distributed servers, web, and smartphones. Several data integration vendors in the market space are offering a comprehensive set of data integration tools termed as platforms or suites, developed to meet end-to-end enterprise-wide requirements of their customers. These tools are developed and adapted to an organization’s requirement and can be deployed to integrate on cloud data sources and on-premises data transferred over cloud, allowing an organization to fully leverage its data pool. Given the benefits of on cloud deployments such as reduced cost and scalability, increasing number of organizations are inclining toward cloud deployments and restructuring their data strategies, including data integration and management, in turn driving the data integration market.

Data Integration Market

The following are the major objectives of the study.

To describe and forecast the global data integration market on the basis of components, business applications, deployment models, organization sizes, verticals, and regions

  • To forecast the market size of the five main regional segments, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To strategically analyze subsegments with respect to individual growth trends, future prospects, and contribution to the total market
  • To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To analyze the opportunities in the market for stakeholders and to provide details of the competitive landscape for major players
  • To comprehensively analyze core competencies* of key players
  • To track and analyze competitive developments such as mergers and acquisitions, new product developments, and partnerships and collaborations in the market  

During this research study, major players operating in the data integration market in various regions have been identified, and their offerings, regional presence, and distribution channels have been analyzed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Factiva, along with primary respondents. The entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) pertaining to the market. The figure below shows the breakdown of the primaries on the basis of the company type, designation, and region considered during the research study.

Data Integration Market

To know about the assumptions considered for the study, download the pdf brochure

Vendor included in the report are SAP SE (Germany), SAS Institute Inc. (US), Cisco System Inc. (US), Information Builders (US), Actian Corporation (US), Syncsort (US), Pitney Bowes Inc. (US), IBM (US), Informatica Corporation (US), Oracle Corporation (US), Talend (US), Microsoft Corporation (US), HVR Software (US), Denodo Technologies (US), and Attunity Ltd. (US). These vendors adopted different types of organic as well as inorganic growth strategies such as new product launches, partnerships and collaborations, and mergers and acquisitions to expand their offerings in the data integration market.

Major Market Developments

  1. In March 2017, Information Builders released the Omni-Gen Data Quality edition. The unified platform enables easy data profiling, cleansing, and enriching information in databases and corporate information systems, which would be instrumental in streamlining data management projects
  2. In September 2016, SAP acquired Altiscale, a scalable BDaaS solution provider. The acquisition helped SAP address challenges faced by business users in provisioning, scaling, and operation of Hadoop in a production environment
  3. In September 2015, Cisco partnered with Paxata, an adaptive data preparation platform provider, to expedite the adoption of self-service data preparation in organizations.

Key Target Audience for Data Integration Market

  • Data integration tool and service providers
  • Managed Service Providers (MSPs)
  • System integrators
  • Networking companies
  • Third-party providers
  • Value-Added Resellers (VARs)
  • Government agencies
  • Consultants/consultancies/advisory firms
  • Support and maintenance service providers
  • Technology providers   

Scope of the Data Integration Market Research Report

By Component:  

  • Tools
  • Services
    • Managed Services
    • Professional Services

By Business Application

  • Marketing
  • Sales
  • Operations
  • Finance
  • Human Resources

By Deployment Model:

  • On-Premises
  • On-Demand

By Organization Size:

  • Large Enterprises
  • Small and Medium Enterprises

By Vertical:

  • Healthcare and Life Sciences
  • BFSI
  • Manufacturing
  • Retail and Consumer Goods
  • IT and Telecom
  • Media and Entertainment
  • Energy and Utilities
  • Government and Defense
  • Others

By Geography:

  • North America
  • Europe
  • Asia Pacific (APAC)
  • Latin America
  • Middle East and Africa

Critical questions which the report answers

  • What are new areas which the data integration companies are exploring?
  • Which are the key players in the market and how intense is the competition?

Available Customizations:

Based on the given market data, MarketsandMarkets offers customizations in the reports as per the client’s specific requirements. The available customization options are as follows:

Geographic Analysis

  • Further country-wise breakdown of the market in APAC based on verticals

Company Information

  • Detailed analysis and profiling of additional market players (Up to 5)

The overall data integration market is expected to grow from USD 6.44 billion in 2017 to USD 12.24 billion by 2022 at a CAGR of 13.7%. Demand for tools that can combine several heterogeneous data sources and rise of cloud computing creating a demand for effective data integration tools and practices are the key factors driving the growth of this market.

Data integration is used to consolidate data from different sources to provide a holistic view of data. The capability to combine information from disparate sources and provide the data in a single data warehouse or other format has raised the demand for data integration tools and services across the world. Moreover, the data integration tools provide various advantages, such as reduced human efforts and lower chance of errors during the translation processes, in comparison to the legacy systems where human touch is required. Globally, data integration tools and services are rapidly taking over from traditional methods of hand coding, which might require excess human efforts and erroneous. Data integration tools have provided significant technologies to integrate data generated from the disparate source into meaningful insights.

The key factors driving the growth rate are demand for tools combining several heterogeneous data sources and rise of cloud computing, creating demand for effective data integration tools and practices. However, lack of expertise and disharmony between modern data integration requirements and legacy systems are some of the obstacles for the data integration market. Apart from drivers and restraints, there are a few lucrative opportunities for the data integration tools and service providers. Opportunities such as increased inclination toward self-service data integration and growing demand of open-source data integration tools are expected to boost the data integration market growth.

The data integration market has been segmented, on the basis of component, into Tools and Services. The market for services is expected to grow at the highest CAGR between 2017 and 2022. Managed services play a crucial part in reducing overheads of the enterprises, facilitating them to be product focused and innovation friendly. Thus, services play a pivotal role in transforming new-age enterprises, which are laid on the pillars of Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) in today’s dynamic world. The services segment in the data integration market is expected to witness the highest growth rate in the coming years, which is evident from the proliferating product adoption in the present year.

The data integration market in APAC is expected to grow at the highest CAGR during the forecast period. APAC is the fastest-growing market for data integrations tools. This is due to the massive growth of data from all industries in this region. Whether it’s manufacturing industry or media and entertainment, a humongous flow of data has shown the need for an effective data integration tool. As a result, APAC holds a significant share of the overall data integration market.

Data Integration Market

Demand for tools that can combine several heterogeneous data sources drive the growth of data integration market

Healthcare and Life Sciences

The healthcare and life sciences vertical is gaining a lot of traction as the vertical has witnessed phenomenal adoption in data integration tools and services. The vertical has always been overloaded with data, chiefly from patient, clinical, claim, hospital system, financial, pharmacy, and most recently from wearable technology sources. Data integration in the healthcare sector is also extensively adopted to gain interoperability between on-premises and on-demand systems. With the massive adoption of cloud applications by pharma industries, the need for data integration tools emerges more strongly

BFSI

The data integration tools and services market for BFSI is set for a tremendous adoption owing to such serious problems faced by the banks. In this hyper-competitive industry, banks need to integrate the data from all the systems, get a unified 360-degree view of the customers and prospects and provide them customized banking to achieve operational success. Real-time live feeds could be helpful in mitigating the risks often associated with providing loans and credit cards to defaulters. Data integration will be immensely helpful to ensure hyper-targeted marketing, personal wealth management advice, and optimized transaction processing.

Energy and Utilities

The energy and utilities industry includes sectors such as oil and gas, renewable energy, and electricity. The industry is observing major transformation with the advent of technologies such as smart meters, smart sensors, and other IoT technologies. With these developments, there is unprecedented growth in the amount of data being generated, creating a demand for technologies which can efficiently capture this data and consolidate it for further analysis. With the ever-increasing customer numbers and demand for high-quality services, the energy and utilities companies are quick to adopt technological solutions to support their business functions resulting in a high growth rate in the data integration market, too.

Retail and Consumer Goods

The continuous rise of big data, growth of e-commerce, and increased usage of social media are a few of the drivers boosting the growth and adoption of data integration tools in the retail and consumer goods vertical. The vertical is generating an exhaustive amount of data from social media, where customers are openly sharing ideas and opinions with friends through numerous networking platforms. The data can be captured from these places, integrated together, analyzed, and valuable information can be extracted to meet customer demands, increase sales, improve business performance, and thereby have a differentiating edge over the competitors.
 
Critical questions the report answers:

  • Where will all these developments take the industry in the mid to long term?
  • What are the upcoming industry applications for reed sensors?

The lack of expertise and disharmony between modern data integration requirements and legacy systems are major factors restraining the growth of the market. The enormous value proposition around using big data to gain insights stems from using the data stored at numerous sources within an organization. Data integration tools provide a holistic view of the data and a larger picture to the managers, who can take the necessary actions to boost the productivity of the systems. The companies need to invest heavily in trainings and certifications so that the workforce is able to gain the advantages of the big data insights. Additionally, as the companies scale up the need to integrate the data from various verticals becomes more necessary. Sound business acumen is also required in conjunction with appropriate training to help build a data-driven, decision-making culture. Thus, an analytical capability gap is one of the biggest restraints the companies are grappling with these days.

Vendor included in the report are SAP SE (Germany), SAS Institute Inc. (US), Cisco System Inc. (US), Information Builders (US), Actian Corporation (US), Syncsort (US), Pitney Bowes Inc. (US), IBM (US), Informatica Corporation (US), Oracle Corporation (US), Talend (US), Microsoft Corporation (US), HVR Software (US), Denodo Technologies (US), and Attunity Ltd. (US). These vendors adopted different types of organic as well as inorganic growth strategies such as new product launches, partnerships and collaborations, and mergers and acquisitions to expand their offerings in the data integration market.

To speak to our analyst for a discussion on the above findings, click the Speak to Analyst

Table of Contents

1 Introduction (Page No. - 15)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 18)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakdown of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 Market Size Estimation
    2.3 Microquadrant Research Methodology
           2.3.1 Vendor Inclusion Criteria
    2.4 Research Assumptions
    2.5 Limitations

3 Executive Summary (Page No. - 25)

4 Premium Insights (Page No. - 29)
    4.1 Attractive Market Opportunities in the Data Integration Market
    4.2 Data Integration: Market Share Across Various Regions
    4.3 Market By Industry Vertical and Region
    4.4 Lifecycle Analysis, By Region, 2017

5 Data Integration Market Overview and Industry Trends (Page No. - 32)
    5.1 Market Overview
           5.1.1 Introduction
           5.1.2 Market Dynamics
                    5.1.2.1 Drivers
                               5.1.2.1.1 Demand for Tools That Can Combine Several Heterogeneous Data Sources
                               5.1.2.1.2 Rise of Cloud Computing Creating A Demand for Effective Data Integration Tools and Practices
                    5.1.2.2 Restraints
                               5.1.2.2.1 Lack of Expertise
                               5.1.2.2.2 Disharmony Between Modern Data Integration Requirements and Legacy Systems
                    5.1.2.3 Opportunities
                               5.1.2.3.1 Increased Inclination Toward Self-Service Data Integration
                               5.1.2.3.2 Growing Demand for Open-Source Data Integration Tools
                    5.1.2.4 Challenges
                               5.1.2.4.1 Lack of Standardization in Enterprise Data Integration and Management Strategy
                               5.1.2.4.2 Lack of Adoption of High-End Etl Tools
                               5.1.2.4.3 Need for an Upgraded Data Integration Framework That Incorporates Big Data Platforms
    5.2 Industry Trends
           5.2.1 Introduction
           5.2.2 Data Integration Use Cases
                    5.2.2.1 Introduction
                               5.2.2.1.1 Use Case #1
                               5.2.2.1.2 Use Case #2
                               5.2.2.1.3 Use Case #3
                               5.2.2.1.4 Use Case #4
                               5.2.2.1.5 Use Case #5
           5.2.3 Data Integration, By Architecture

6 Data Integration Market Analysis, By Component (Page No. - 41)
    6.1 Introduction
    6.2 Tools
    6.3 Services
           6.3.1 Managed Services
           6.3.2 Professional Services

7 Data Integration Market Analysis, By Business Application (Page No. - 45)
    7.1 Introduction
    7.2 Marketing
    7.3 Sales
    7.4 Operations
    7.5 Finance
    7.6 Human Resources

8 Data Integration Market Analysis, By Deployment Model (Page No. - 52)
    8.1 Introduction
    8.2 On-Premises
    8.3 On-Demand

9 Data Integration Market Analysis, By Organization Size (Page No. - 56)
    9.1 Introduction
    9.2 Large Enterprises
    9.3 Small and Medium Enterprises

10 Data Integration Market Analysis, By Vertical (Page No. - 60)
     10.1 Introduction
     10.2 Healthcare and Life Sciences
     10.3 Banking, Financial Services, and Insurance
     10.4 Manufacturing
     10.5 Retail and Consumer Goods
     10.6 IT and Telecom
     10.7 Media and Entertainment
     10.8 Energy and Utilities
     10.9 Government and Defense
     10.10 Others

11 Geographic Analysis (Page No. - 73)
     11.1 Introduction
     11.2 North America
     11.3 Europe
     11.4 Asia Pacific (APAC)
     11.5 Latin America
     11.6 Middle East and Africa

12 Competitive Landscape (Page No. - 93)
     12.1 Introduction
             12.1.1 Vanguards
             12.1.2 Innovators
             12.1.3 Dynamic
             12.1.4 Emerging
     12.2 Microquadrants
     12.3 Market Product Offering
     12.4 Market Business Strategy

13 Company Profiles (Page No. - 97)
(Business Overview, Products & Services, Key Insights, Recent Developments,)*
     13.1 International Business Machines Corporation
     13.2 Microsoft Corporation
     13.3 Oracle Corporation
     13.4 SAP SE
     13.5 SAS Institute Inc.
     13.6 Informatica
     13.7 Talend
     13.8 Cisco Systems, Inc.
     13.9 Information Builders
     13.10 Actian Corporation
     13.11 Syncsort
     13.12 Pitney Bowes Inc.
     13.13 Denodo Technologies
     13.14 Attunity
     13.15 HVR Software

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, Might Not Be Captured in Case of Unlisted Companies.

14 Appendix (Page No. - 158)
     14.1 Key Insights
     14.2 Discussion Guide
     14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     14.4 Available Customization
     14.5 Related Reports
     14.6 Author Details


List of Tables (66 Tables)

Table 1 Data Integration Market Size, By Component, 2015–2022 (USD Million)
Table 2 Tools: Data Integration Market Size, By Region, 2015–2022 (USD Million)
Table 3 Data Integration Market Size, By Service, 2015–2022 (USD Million)
Table 4 Services: Market Size, By Region, 2015–2022 (USD Million)
Table 5 Data Integration Market Size, By Business Application, 2015–2022 (USD Million)
Table 6 Marketing: Market Size, By Region, 2015–2022 (USD Million)
Table 7 Sales: Market Size, By Region, 2015–2022 (USD Million)
Table 8 Operations: Market Size, By Region, 2015–2022 (USD Million)
Table 9 Sales: Market Size, By Region, 2015–2022 (USD Million)
Table 10 Human Resources: Market Size, By Region, 2015–2022 (USD Million)
Table 11 Data Integration Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 12 On-Premises: Market Size, By Region, 2015–2022 (USD Million)
Table 13 On-Demand: Market Size, By Region, 2015–2022 (USD Million)
Table 14 Data Integration Market Size, By Organization Size, 2015–2022 (USD Million)
Table 15 Large Enterprises: Market Size, By Region, 2015–2022 (USD Million)
Table 16 Small and Medium Enterprises: Market Size, By Region, 2015–2022 (USD Million)
Table 17 Data Integration Market Size, By Vertical, 2015–2022 (USD Million)
Table 18 Healthcare and Life Sciences: Market Size, By Region, 2015–2022 (USD Million)
Table 19 Healthcare and Life Sciences: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 20 Banking, Financial Services, and Insurance: Market Size, By Region, 2015–2022 (USD Million)
Table 21 Banking, Financial Services, and Insurance: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 22 Manufacturing: Market Size, By Region, 2015–2022 (USD Million)
Table 23 Manufacturing: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 24 Retail and Consumer Goods: Market Size, By Region, 2015–2022 (USD Million)
Table 25 Retail and Consumer Goods: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 26 IT and Telecom: Market Size, By Region, 2015–2022 (USD Million)
Table 27 IT and Telecom: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 28 Media and Entertainment: Market Size, By Region, 2015–2022 (USD Million)
Table 29 Media and Entertainment: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 30 Energy and Utilities: Market Size, By Region, 2015–2022 (USD Million)
Table 31 Energy and Utilities: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 32 Government and Defense: Market Size, By Region, 2015–2022 (USD Million)
Table 33 Government and Defense: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 34 Others: Market Size, By Region, 2015–2022 (USD Million)
Table 35 Others: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 36 Data Integration Market Size, By Region, 2015–2022 (USD Million)
Table 37 North America: Market Size, By Vertical, 2015–2022 (USD Million)
Table 38 North America: Market Size, By Component, 2015–2022 (USD Million)
Table 39 North America: Market Size, By Service, 2015–2022 (USD Million)
Table 40 North America: Market Size, By Business Application, 2015–2022 (USD Million)
Table 41 North America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 42 North America: Market Size, By Organizations Size, 2015–2022 (USD Million)
Table 43 Europe: Data Integration Market Size, By Vertical, 2015–2022 (USD Million)
Table 44 Europe: Market Size, By Component, 2015–2022 (USD Million)
Table 45 Europe: Market Size, By Service, 2015–2022 (USD Million)
Table 46 Europe: Market Size, By Business Application, 2015–2022 (USD Million)
Table 47 Europe: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 48 Europe: Market Size, By Organizations Size, 2015–2022 (USD Million)
Table 49 Asia Pacific: Data Integration Market Size, By Vertical, 2015–2022 (USD Million)
Table 50 Asia Pacific: Market Size, By Component, 2015–2022 (USD Million)
Table 51 Asia Pacific: Market Size, By Service, 2015–2022 (USD Million)
Table 52 Asia Pacific: Market Size, By Business Application, 2015–2022 (USD Million)
Table 53 Asia Pacific: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 54 Asia Pacific: Market Size, By Organizations Size, 2015–2022 (USD Million)
Table 55 Latin America: Data Integration Market Size, By Vertical, 2015–2022 (USD Million)
Table 56 Latin America: Market Size, By Component, 2015–2022 (USD Million)
Table 57 Latin America: Market Size, By Service, 2015–2022 (USD Million)
Table 58 Latin America: Market Size, By Business Application, 2015–2022 (USD Million)
Table 59 Latin America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 60 Latin America: Market Size, By Organizations Size, 2015–2022 (USD Million)
Table 61 Middle East and Africa: Data Integration Market Size, By Vertical, 2015–2022 (USD Million)
Table 62 Middle East and Africa: Market Size, By Component, 2015–2022 (USD Million)
Table 63 Middle East and Africa: Market Size, By Service, 2015–2022 (USD Million)
Table 64 Middle East and Africa: Market Size, By Business Application, 2015–2022 (USD Million)
Table 65 Middle East and Africa: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 66 Middle East and Africa: Market Size, By Organizations Size, 2015–2022 (USD Million)
 
 
List of Figures (67 Figures)
 
Figure 1 Data Integration Market: Market Segmentation
Figure 2 Regional Scope
Figure 3 Data Integration Market: Research Design
Figure 4 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 5 Data Triangulation
Figure 6 Market Size Estimation Methodology: Bottom-Up Approach
Figure 7 Market Size Estimation Methodology: Top-Down Approach
Figure 8 Evaluation Criteria
Figure 9 Data Integration Market: Assumptions
Figure 10 Data Integration Market: Evolution
Figure 11 Market is Poised to Witness Growth Globally During the Forecast Period
Figure 12 Market Snapshot on the Basis of Components (2017 vs 2022)
Figure 13 Market Snapshot on the Basis of Business Applications (2017–2022)
Figure 14 Market Snapshot on the Basis of Deployment Models (2017–2022)
Figure 15 Market Snapshot on the Basis of Industry Verticals (2017 vs 2022)
Figure 16 High Demand for Tools Combining Several Heterogeneous Data Sources is Driving the Data Integration Market During the Forecast Period
Figure 17 North America is Expected to Dominate the Global Data Integration Market in 2017
Figure 18 Healthcare and Life Sciences Vertical is Expected to Have the Largest Market Size in 2017
Figure 19 Asia Pacific is Expected to Enter the Exponential Growth Phase During 2017–2022
Figure 20 Data Integration Market: Drivers, Restraints, Opportunities, and Challenges
Figure 21 Tools is Expected to Have the Largest Market Size During the Forecast Period
Figure 22 Human Resources Application is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 23 On-Premises Deployment Model is Expected to Have the Largest Market Size During the Forecast Period
Figure 24 Small and Medium Enterprises Segment is Expected to Have the Highest CAGR During the Forecast Period
Figure 25 Retail and Consumer Goods Vertical is Expected to Have the Highest CAGR During the Forecast Period
Figure 26 North America is Expected to Have the Largest Market Size in the Data Integration Market During the Forecast Period
Figure 27 North America Market Snapshot
Figure 28 Asia Pacific Market Snapshot
Figure 29 International Business Machines Corporation: Company Snapshot
Figure 30 International Business Machines Corporation: Product Offering Scorecard
Figure 31 International Business Machines Corporation: Business Strategy Scorecard
Figure 32 Microsoft Corporation: Company Snapshot
Figure 33 Microsoft Corporation: Product Offering Scorecard
Figure 34 Microsoft Corporation: Business Strategy Scorecard
Figure 35 Oracle Corporation: Company Snapshot
Figure 36 Oracle Corporation: Product Offering Scorecard
Figure 37 Oracle Corporation: Business Strategy Scorecard
Figure 38 SAP SE: Company Snapshot
Figure 39 SAP SE: Product Offering Scorecard
Figure 40 SAP SE: Business Strategy Scorecard
Figure 41 SAS Institute Inc.: Company Snapshot
Figure 42 SAS Institute Inc. : Product Offering Scorecard
Figure 43 SAS Institute Inc.: Business Strategy Scorecard
Figure 44 Informatica: Product Offering Scorecard
Figure 45 Informatica: Business Strategy Scorecard
Figure 46 Talend: Company Snapshot
Figure 47 Talend: Product Offering Scorecard
Figure 48 Talend: Business Strategy Scorecard
Figure 49 Cisco Systems, Inc. : Company Snapshot
Figure 50 Cisco Systems, Inc.: Product Offering Scorecard
Figure 51 Cisco Systems, Inc.: Business Strategy Scorecard
Figure 52 Information Builders: Product Offering Scorecard
Figure 53 Information Builders: Business Strategy Scorecard
Figure 54 Actian Corporation: Product Offering Scorecard
Figure 55 Actian Corporation: Business Strategy Scorecard
Figure 56 Syncsort: Product Offering Scorecard
Figure 57 Syncsort: Business Strategy Scorecard
Figure 58 Pitney Bowes Inc.: Company Snapshot
Figure 59 Pitney Bowes Inc.: Product Offering Scorecard
Figure 60 Pitney Bowes Inc.: Business Strategy Scorecard
Figure 61 Denodo Technologies: Product Offering Scorecard
Figure 62 Denodo Technologies: Business Strategy Scorecard
Figure 63 Attunity: Company Snapshot
Figure 64 Attunity: Product Offering Scorecard
Figure 65 Attunity: Business Strategy Scorecard
Figure 66 HVR Software: Product Offering Scorecard
Figure 67 HVR Software: Business Strategy Scorecard


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TC 5249
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