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Data Integration Market By Component, By Business Application, By Deployment Type, By Enterprise Size, By End User, By Regional Outlook, Industry Analysis Report and Forecast, 2021-2027

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    Report

  • 326 Pages
  • January 2022
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5553185
The Global Data Integration Market size is expected to reach $22.1 billion by 2027, rising at a market growth of 10.4% CAGR during the forecast period.

The process of combining the data from various sources into a single unified view is called data integration. The data integration starts from the process of ingestion which includes various steps such as mapping, cleansing, transformation and ETL. Data integration helps the analytics tools in producing actionable and effective business intelligence. The data integration market includes data integration of services and tools which are used for combining the data from separate sources and delivering the integrated data.

The focus of data integration solutions is shifting towards cloud-based integration solutions for the users. This is because a number of organizations have shifted to a private or public cloud. Moreover, the providers of cloud-based services and solutions including Microsoft, IBM, and SAP are focused  on designing the cloud software which includes the on-premise application.

In the modern era, a rise in the demand for cloud computing technology can be seen. This is because it helps in collecting data from separate sources like distributed servers, remote sensors, and the web. Also, with the help of that data, the organization can get valuable insight. There is a need to have advanced big data integration tools in order to capture & integrate the massive amount of data collected from different internal as well as external sources. Such tools can efficiently fulfill the need of an organization by permitting the organization to strengthen the data pool by integrating from the cloud as well as on-premise data transferred to the cloud.

Data plays an important role in the organization due to the ever-increasing volume of data that is collected from different sources. Most business organizations are willing to adopt different strategies in order to use the data for their benefits.



COVID-19 Impact Analysis


The outbreak of COVID-19 has affected all the business operations in one or another manner. The pandemic has put various challenges in front of the many business enterprises and also served as an opportunity for digitalization. Many offices, schools and colleges have adopted the online mode of working which also led to the digitalization of various activities. The retail and production sector has faced a decline in business due to the imposition of lockdown and restriction over exports and imports of goods.

Whereas, the data integration market has witnessed significant growth during this pandemic. This is because many organizations have shifted towards cloud deployment & on-premise deployment. Due to this, it has become essential for organizations to modify their existing strategies and adopt data integration.

Market Growth Factors:


Reduce the operational cost

By implementing an efficient integration platform, the organization is not required to waste resources on managing individual software which ultimately reduces the cost. Also, the use of data integration reduces maintenance costs. An efficient data integration technology enables the business organization to empower their systems to work to provide a better experience instead of wasting money and other resources on incapable technologies.

Rise in technological advancements

The continue development in the world is leading towards the rising demand for more advanced technologies in order to facilitate different types of tasks. Also, with the widening customer base as well as expansion of the regional markets, many organizations are struggling to deal with the broad data sources. With the arrival of big data technology, enterprises are well aware of the advantages of implementing big data and are thus investing in data integration technologies.

Marketing Restraining Factor:


Poor Security and performance

The security of confidential information is the topmost priority of any organization. Organizations are required to be sure that their data is stored on a secure platform. However, there is the risk of not having proper security for the organization using data integration tools. The data can be easily accessed from anywhere when it comes to the use of cloud-based data integration tools. This easy accessibility has benefits but also involves the risk of loss of revenue, data leakage, loss of trade licenses, data breach, loss of organizational reputation, government penalties & lawsuits.



Components Outlook


On the basis of components, the data integration market is segmented into tools and services. In 2020, the tool segment dominated the data integration market by generating maximum revenue. The data integration tools are the software used for integrating the data. Such tools are developed according to the need of the organization. These tools are required to perform mapping, transformation & cleansing data.

Business Application Outlook


Based on business application, the data integration market is classified into marketing, sales, operations, finance, and human resource. The HR segment is expected to showcase a promising growth in the data integration market over the forecast years. The data integration enables the HR team to compare metrics of various sources at a single data source. Also, the data integration helps the HR team to identify the best sources for recruitments and the best way to optimize the performance as well as cost.

Deployment Type Outlook


Based on deployment mode, the data integration market is divided into cloud and on-premises. The cloud segment procured a significant revenue share of the overall data integration market in 2020. The aim of cloud-based data integration is to create a unified data store that can be efficiently accessed by all the relevant applications & users. Cloud refers to performing data integration tasks within a private or public cloud.

Enterprise Size Outlook


By organization size, the data integration market is categorized into large enterprises and small & medium enterprises. In 2020, the large enterprise segment dominated the data integration market by generating maximum revenue. These are the enterprises with wider operations across different geographical locations along with high turnover. This is because these enterprises highly require data integration solutions as it is expected to be difficult to combine wide data sources manually which are largely expanded.

End User Outlook


On the basis of end user, the data integration market is fragmented into BFSI, retail and consumer goods, manufacturing, media and entertainment, energy utilities, telecom and IT, healthcare and life sciences, and government and defense. In 2020, the healthcare & life sciences segment dominated the data integration market with the highest revenue share. The existence of huge data, especially for the clinical, claims, hospital system, financial, patient, pharmacy, and wearable technologies in the healthcare and life science creates the need for data integration technologies across the segment.

Regional Outlook


Region-wise, the data integration market is analyzed in North America, Europe, Asia Pacific, and LAMEA. In 2020, the North America emerged as the leading region in the overall data integration market by procuring the maximum revenue share. Moreover, these tools can also help in understanding the needs of customers, and promote effective co-operation in the team.

Cardinal Matrix - Data Integration Market Competition Analysis




The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation is the major forerunners in the Data Integration Market. Companies such as SAP SE, Oracle Corporation and IBM Corporation are some of the key innovators in the Market.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Precisely (Clearlake Capital Group), IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, Talend S.A., Software AG, SAS Institute, Inc., Tibco Software, Inc. (Vista Equity Partners), and Informatica, LLC.

Recent Strategies Deployed in Data Integration Market


» Partnerships, Collaborations and Agreements:

  • Dec-2021: IBM teamed up with MuleSoft, a software company that provides integration software for connecting applications, data, and devices. Through this acquisition, the company aimed to deliver increased integrations & solutions in IBM's product family to support financial services & other mutual consumers.
  • Nov-2021: Microsoft partnered with Corelight, provider of the industry's leading open network detection and response. Through this partnership, the company aimed to leverage an open platform to share data to further enhance Microsoft Defender for IoT. In addition, consumers using Corelight can secure their entire IoT and OT environments with Microsoft 365 Defender and Defender for IoT within minutes while adding more detections based on encrypted traffic analysis & complementing Microsoft's MITRE ATT&CK coverage
  • Jun-2021: Microsoft teamed up with Wejo Limited, a global leader in the connected vehicle. Through the acquisition, the company aimed to advance the cutting-edge application of connected vehicle data across the globe.
  • Jun-2021: Oracle joined hands with Deutsche Bank, a financial services organization. Through this collaboration, the companies aimed to enhance the bank’s database technology and speed up its digital transformation by enabling data integration across its business to streamline operations, offer unified oversight of core service processes and deployments, and simply design & scale applications based on consumer demand. 
  • May-2021: SAP partnered with Siemens, a German multinational conglomerate corporation and the largest industrial manufacturing company. From this partnership, the companies aimed to enable a true digital thread that is expected to integrate real-time operations-based data with virtual product and asset models utilize components from both Siemens and SAP to provide operational insights.
  • Apr-2021: Microsoft joined hands with Informatica, the enterprise cloud data management leader. From this collaboration, the companies aimed to enhance consumers’ journeys to the cloud by utilizing Informatica Intelligent Data Management Cloud (IDMC). In addition, consumers can process data loading and data integration use-cases for free using Informatica's industry-leading iPaaS service.
  • Apr-2021: Software AG came into a partnership with Matillion, a data transformation solution provider or cloud data warehouses. This partnership aimed to support widespread cloud adoption and make it easier for businesses to digitally transform such that consumers can bring data from different sources together, creating a single source of truth from which to extract valuable business insights.
  • Feb-2021: IBM entered into a partnership with Palantir Technologies, a public American software company that specializes in big data analytics. Through this partnership, the companies aimed to support businesses looking forward to increasing the value of a large amount of data which include those in retail, manufacturing, financial services, telecommunication, and healthcare.
  • Feb-2021: IBM teamed up with Siemens, a German multinational conglomerate, and Red Hat, a leading provider of enterprise open-source solutions. Under this collaboration, Siemens Digital Industries Software is expected to apply IBM’s open hybrid cloud approach, built on Red Hat OpenShift, to extend the deployment flexibility of MindSphere, the industrial IoT as a service solution from Siemens. This collaboration enables consumers to run MindSphere on-premise, unlocking speed & agility in plant and factory operations as well as through the cloud for seamless product updates, support, and enterprise connectivity.
  • Dec-2020: Talend came into a partnership with Snowflake, the cloud-based data-warehousing company. Under this partnership, Talend Trust Score is expected to evaluate data stored on Snowflake’s platform for reliability and also measure data health through intelligent diagnosis and resolve data integrity issues in multi-cloud environments. This partnership aimed to allow consumers to quickly mobilize their data to achieve better business outcomes, with clean, accessible, and governed data.
  • Aug-2020: Informatica extended its partnership with Google Cloud. This partnership aimed at the joint go-to-market initiative to accelerate analytics with BigQuery and SAP on Google Cloud. Together, the companies is expected to offer IICS and Data Integration Services to these organizations.
  • May-2020: SAP came into a partnership with Informatica, an American software development company. From this partnership, the companies aimed to feature the adoption of SAP Data Warehouse Cloud, which is expected to support integration with present data warehouses and a wide range of applications and databases on-premises and in the cloud.

» Acquisitions and Mergers:

  • Oct-2021: Microsoft took over Clear Software, an Intelligent Automation platform that protects and extends technology investments. Under this acquisition, ClearProcess is expected to permit automation applications & workflows to better sync with enterprise resource planning platforms and a similar system of record and also enables centralized access of data of all employees.
  • Jun-2021: Precisely along with TA Associates announced the acquisition of Winshuttle from Symphony Technology Group, an American private equity firm based in Palo Alto, California. Through this acquisition, the company aimed to expand its integrity software solution set into process automation & master data management software, which are both top priorities on its product roadmap.
  • May-2021: Precisely signed an agreement to acquire Infogix, a data integrity and governance software provider. From this acquisition, the company aimed to add another dimension to data integrity and enable data governance by bringing technical, business, relationship, and usage intelligence of Infogix about data into its portfolio.
  • Oct-2020: TIBCO signed an agreement to acquire Information Builders, a leading data and analytics software company. This acquisition aimed to enhance its Hyperconverged Analytics strategy and support its Any Data Hub and Responsive Application Mesh strategies by leading data quality, preparation, integration products, and WebFOCUS.
  • Jun-2020: Microsoft signed an agreement to acquire ADRM Software, a leading provider of large-scale industry data models. By this acquisition, the company aimed to permit the creation of the intelligent data lake where data from various lines of business is expected to be harmonized together in less time.

» Product Launches and Product Expansions:

  • Dec-2021: Precisely updated Data360 Govern, market-leading data governance solution. This updated solution is expected to enable the organization to implement data scoring rules which measure the accuracy & completeness of the company's data in real-time, & take steps to increase data integrity with a quick time to value.
  • Jul-2021: Informatica launched the industry's first enterprise-scale, seamless data governance, and catalog as-a-service. By this launch, the company aimed to help enterprises reimagine and renovate the company's data and analytics governance programs, the comprehensive solution brings together data cataloging, quality, data, and AI governance capabilities with unified metadata-driven intelligence natively in the cloud.
  • Apr-2021: IBM introduced major innovations in its storage portfolio and launched updates to its IBM Elastic Storage System (ESS) family. From this expansion, the company aimed to enhance the access and management of data across complex hybrid cloud environments for greater data availability & resilience.
  • Apr-2021: Oracle added GoldenGate data integration service, a serverless offering that runs on the Oracle Cloud to its portfolio. From this expansion, the company aimed to provide an event-based approach for the integration of operational & analytic databases between on-premises data centers & any private, public or hybrid clouds.
  • Dec-2020: Microsoft introduced Azure Purview, a new data governance solution. From this launch, the company aimed to minimize compliance risk & help consumers map all their data, no matter where it resides and provide an end-to-end view of their data estate by automating the discovery of data.
  • Dec-2020: Oracle introduced Oracle MySQL Database Service, a fully-managed Oracle Cloud Infrastructure service. This service is expected to enable consumers to run sophisticated analytics directly against their operational MySQL databases without the need for complex data integration with a different analytics database.
  • Oct-2020: Precisely unveiled Precisely Data Integrity Suite, a modular that offers high accuracy, consistency, and context in data for confident business decisions. Precisely Data Integrity Suite is the first suite to span the full spectrum of data integrity, delivering accuracy and consistency through best-in-class data quality & data integration abilities, & context through market-leading location intelligence & data enrichment.

Scope of the Study


Market Segments Covered in the Report:


By Component

  • Tools and
  • Services

By Business Application

  • Marketing
  • Sales
  • Operations
  • HR and
  • Finance

By Deployment Type

  • On-premise
  • Cloud

By Enterprise Size

  • Large Enterprises
  • Small & Medium Enterprises

By End User

  • Healthcare & Life Sciences
  • BFSI
  • IT & Telecom
  • Manufacturing
  • Retail & Ecommerce
  • Government and
  • Others

By Geography


  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Key Market Players


List of Companies Profiled in the Report:

  • Precisely (Clearlake Capital Group)
  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • SAP SE
  • Talend S.A.
  • Software AG
  • SAS Institute, Inc.
  • Tibco Software, Inc. (Vista Equity Partners)
  • Informatica, LLC

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Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Data Integration Market, by Component
1.4.2 Global Data Integration Market, by Business Application
1.4.3 Global Data Integration Market, by Deployment Type
1.4.4 Global Data Integration Market, by Enterprise Size
1.4.5 Global Data Integration Market, by End User
1.4.6 Global Data Integration Market, by Geography
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2017-2021)
3.3.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2019, May - 2021, Dec) Leading Players
Chapter 4. Global Data Integration Market by Component
4.1 Global Data Integration Tools Market by Region
4.2 Global Data Integration Services Market by Region
Chapter 5. Global Data Integration Market by Business Application
5.1 Global Marketing Market by Region
5.2 Global Sales Market by Region
5.3 Global Operations Market by Region
5.4 Global HR Market by Region
5.5 Global Finance Market by Region
Chapter 6. Global Data Integration Market by Deployment Type
6.1 Global On-premise Market by Region
6.2 Global Cloud Market by Region
Chapter 7. Global Data Integration Market by Enterprise Size
7.1 Global Large Enterprises Market by Region
7.2 Global Small & Medium Enterprises Market by Region
Chapter 8. Global Data Integration Market by End User
8.1 Global Healthcare & Life Sciences Market by Region
8.2 Global BFSI Market by Region
8.3 Global IT & Telecom Market by Region
8.4 Global Manufacturing Market by Region
8.5 Global Retail & Ecommerce Market by Region
8.6 Global Government Market by Region
8.7 Global Others Data Integration Market by Region
Chapter 9. Global Data Integration Market by Region
9.1 North America Data Integration Market
9.1.1 North America Data Integration Market by Component
9.1.1.1 North America Data Integration Tools Market by Country
9.1.1.2 North America Data Integration Services Market by Country
9.1.2 North America Data Integration Market by Business Application
9.1.2.1 North America Marketing Market by Country
9.1.2.2 North America Sales Market by Country
9.1.2.3 North America Operations Market by Country
9.1.2.4 North America HR Market by Country
9.1.2.5 North America Finance Market by Country
9.1.3 North America Data Integration Market by Deployment Type
9.1.3.1 North America On-premise Market by Country
9.1.3.2 North America Cloud Market by Country
9.1.4 North America Data Integration Market by Enterprise Size
9.1.4.1 North America Large Enterprises Market by Country
9.1.4.2 North America Small & Medium Enterprises Market by Country
9.1.5 North America Data Integration Market by End User
9.1.5.1 North America Healthcare & Life Sciences Market by Country
9.1.5.2 North America BFSI Market by Country
9.1.5.3 North America IT & Telecom Market by Country
9.1.5.4 North America Manufacturing Market by Country
9.1.5.5 North America Retail & Ecommerce Market by Country
9.1.5.6 North America Government Market by Country
9.1.5.7 North America Others Data Integration Market by Country
9.1.6 North America Data Integration Market by Country
9.1.6.1 US Data Integration Market
9.1.6.1.1 US Data Integration Market by Component
9.1.6.1.2 US Data Integration Market by Business Application
9.1.6.1.3 US Data Integration Market by Deployment Type
9.1.6.1.4 US Data Integration Market by Enterprise Size
9.1.6.1.5 US Data Integration Market by End User
9.1.6.2 Canada Data Integration Market
9.1.6.2.1 Canada Data Integration Market by Component
9.1.6.2.2 Canada Data Integration Market by Business Application
9.1.6.2.3 Canada Data Integration Market by Deployment Type
9.1.6.2.4 Canada Data Integration Market by Enterprise Size
9.1.6.2.5 Canada Data Integration Market by End User
9.1.6.3 Mexico Data Integration Market
9.1.6.3.1 Mexico Data Integration Market by Component
9.1.6.3.2 Mexico Data Integration Market by Business Application
9.1.6.3.3 Mexico Data Integration Market by Deployment Type
9.1.6.3.4 Mexico Data Integration Market by Enterprise Size
9.1.6.3.5 Mexico Data Integration Market by End User
9.1.6.4 Rest of North America Data Integration Market
9.1.6.4.1 Rest of North America Data Integration Market by Component
9.1.6.4.2 Rest of North America Data Integration Market by Business Application
9.1.6.4.3 Rest of North America Data Integration Market by Deployment Type
9.1.6.4.4 Rest of North America Data Integration Market by Enterprise Size
9.1.6.4.5 Rest of North America Data Integration Market by End User
9.2 Europe Data Integration Market
9.2.1 Europe Data Integration Market by Component
9.2.1.1 Europe Data Integration Tools Market by Country
9.2.1.2 Europe Data Integration Services Market by Country
9.2.2 Europe Data Integration Market by Business Application
9.2.2.1 Europe Marketing Market by Country
9.2.2.2 Europe Sales Market by Country
9.2.2.3 Europe Operations Market by Country
9.2.2.4 Europe HR Market by Country
9.2.2.5 Europe Finance Market by Country
9.2.3 Europe Data Integration Market by Deployment Type
9.2.3.1 Europe On-premise Market by Country
9.2.3.2 Europe Cloud Market by Country
9.2.4 Europe Data Integration Market by Enterprise Size
9.2.4.1 Europe Large Enterprises Market by Country
9.2.4.2 Europe Small & Medium Enterprises Market by Country
9.2.5 Europe Data Integration Market by End User
9.2.5.1 Europe Healthcare & Life Sciences Market by Country
9.2.5.2 Europe BFSI Market by Country
9.2.5.3 Europe IT & Telecom Market by Country
9.2.5.4 Europe Manufacturing Market by Country
9.2.5.5 Europe Retail & Ecommerce Market by Country
9.2.5.6 Europe Government Market by Country
9.2.5.7 Europe Others Data Integration Market by Country
9.2.6 Europe Data Integration Market by Country
9.2.6.1 Germany Data Integration Market
9.2.6.1.1 Germany Data Integration Market by Component
9.2.6.1.2 Germany Data Integration Market by Business Application
9.2.6.1.3 Germany Data Integration Market by Deployment Type
9.2.6.1.4 Germany Data Integration Market by Enterprise Size
9.2.6.1.5 Germany Data Integration Market by End User
9.2.6.2 UK Data Integration Market
9.2.6.2.1 UK Data Integration Market by Component
9.2.6.2.2 UK Data Integration Market by Business Application
9.2.6.2.3 UK Data Integration Market by Deployment Type
9.2.6.2.4 UK Data Integration Market by Enterprise Size
9.2.6.2.5 UK Data Integration Market by End User
9.2.6.3 France Data Integration Market
9.2.6.3.1 France Data Integration Market by Component
9.2.6.3.2 France Data Integration Market by Business Application
9.2.6.3.3 France Data Integration Market by Deployment Type
9.2.6.3.4 France Data Integration Market by Enterprise Size
9.2.6.3.5 France Data Integration Market by End User
9.2.6.4 Russia Data Integration Market
9.2.6.4.1 Russia Data Integration Market by Component
9.2.6.4.2 Russia Data Integration Market by Business Application
9.2.6.4.3 Russia Data Integration Market by Deployment Type
9.2.6.4.4 Russia Data Integration Market by Enterprise Size
9.2.6.4.5 Russia Data Integration Market by End User
9.2.6.5 Spain Data Integration Market
9.2.6.5.1 Spain Data Integration Market by Component
9.2.6.5.2 Spain Data Integration Market by Business Application
9.2.6.5.3 Spain Data Integration Market by Deployment Type
9.2.6.5.4 Spain Data Integration Market by Enterprise Size
9.2.6.5.5 Spain Data Integration Market by End User
9.2.6.6 Italy Data Integration Market
9.2.6.6.1 Italy Data Integration Market by Component
9.2.6.6.2 Italy Data Integration Market by Business Application
9.2.6.6.3 Italy Data Integration Market by Deployment Type
9.2.6.6.4 Italy Data Integration Market by Enterprise Size
9.2.6.6.5 Italy Data Integration Market by End User
9.2.6.7 Rest of Europe Data Integration Market
9.2.6.7.1 Rest of Europe Data Integration Market by Component
9.2.6.7.2 Rest of Europe Data Integration Market by Business Application
9.2.6.7.3 Rest of Europe Data Integration Market by Deployment Type
9.2.6.7.4 Rest of Europe Data Integration Market by Enterprise Size
9.2.6.7.5 Rest of Europe Data Integration Market by End User
9.3 Asia Pacific Data Integration Market
9.3.1 Asia Pacific Data Integration Market by Component
9.3.1.1 Asia Pacific Data Integration Tools Market by Country
9.3.1.2 Asia Pacific Data Integration Services Market by Country
9.3.2 Asia Pacific Data Integration Market by Business Application
9.3.2.1 Asia Pacific Marketing Market by Country
9.3.2.2 Asia Pacific Sales Market by Country
9.3.2.3 Asia Pacific Operations Market by Country
9.3.2.4 Asia Pacific HR Market by Country
9.3.2.5 Asia Pacific Finance Market by Country
9.3.3 Asia Pacific Data Integration Market by Deployment Type
9.3.3.1 Asia Pacific On-premise Market by Country
9.3.3.2 Asia Pacific Cloud Market by Country
9.3.4 Asia Pacific Data Integration Market by Enterprise Size
9.3.4.1 Asia Pacific Large Enterprises Market by Country
9.3.4.2 Asia Pacific Small & Medium Enterprises Market by Country
9.3.5 Asia Pacific Data Integration Market by End User
9.3.5.1 Asia Pacific Healthcare & Life Sciences Market by Country
9.3.5.2 Asia Pacific BFSI Market by Country
9.3.5.3 Asia Pacific IT & Telecom Market by Country
9.3.5.4 Asia Pacific Manufacturing Market by Country
9.3.5.5 Asia Pacific Retail & Ecommerce Market by Country
9.3.5.6 Asia Pacific Government Market by Country
9.3.5.7 Asia Pacific Others Data Integration Market by Country
9.3.6 Asia Pacific Data Integration Market by Country
9.3.6.1 China Data Integration Market
9.3.6.1.1 China Data Integration Market by Component
9.3.6.1.2 China Data Integration Market by Business Application
9.3.6.1.3 China Data Integration Market by Deployment Type
9.3.6.1.4 China Data Integration Market by Enterprise Size
9.3.6.1.5 China Data Integration Market by End User
9.3.6.2 Japan Data Integration Market
9.3.6.2.1 Japan Data Integration Market by Component
9.3.6.2.2 Japan Data Integration Market by Business Application
9.3.6.2.3 Japan Data Integration Market by Deployment Type
9.3.6.2.4 Japan Data Integration Market by Enterprise Size
9.3.6.2.5 Japan Data Integration Market by End User
9.3.6.3 India Data Integration Market
9.3.6.3.1 India Data Integration Market by Component
9.3.6.3.2 India Data Integration Market by Business Application
9.3.6.3.3 India Data Integration Market by Deployment Type
9.3.6.3.4 India Data Integration Market by Enterprise Size
9.3.6.3.5 India Data Integration Market by End User
9.3.6.4 South Korea Data Integration Market
9.3.6.4.1 South Korea Data Integration Market by Component
9.3.6.4.2 South Korea Data Integration Market by Business Application
9.3.6.4.3 South Korea Data Integration Market by Deployment Type
9.3.6.4.4 South Korea Data Integration Market by Enterprise Size
9.3.6.4.5 South Korea Data Integration Market by End User
9.3.6.5 Singapore Data Integration Market
9.3.6.5.1 Singapore Data Integration Market by Component
9.3.6.5.2 Singapore Data Integration Market by Business Application
9.3.6.5.3 Singapore Data Integration Market by Deployment Type
9.3.6.5.4 Singapore Data Integration Market by Enterprise Size
9.3.6.5.5 Singapore Data Integration Market by End User
9.3.6.6 Malaysia Data Integration Market
9.3.6.6.1 Malaysia Data Integration Market by Component
9.3.6.6.2 Malaysia Data Integration Market by Business Application
9.3.6.6.3 Malaysia Data Integration Market by Deployment Type
9.3.6.6.4 Malaysia Data Integration Market by Enterprise Size
9.3.6.6.5 Malaysia Data Integration Market by End User
9.3.6.7 Rest of Asia Pacific Data Integration Market
9.3.6.7.1 Rest of Asia Pacific Data Integration Market by Component
9.3.6.7.2 Rest of Asia Pacific Data Integration Market by Business Application
9.3.6.7.3 Rest of Asia Pacific Data Integration Market by Deployment Type
9.3.6.7.4 Rest of Asia Pacific Data Integration Market by Enterprise Size
9.3.6.7.5 Rest of Asia Pacific Data Integration Market by End User
9.4 LAMEA Data Integration Market
9.4.1 LAMEA Data Integration Market by Component
9.4.1.1 LAMEA Data Integration Tools Market by Country
9.4.1.2 LAMEA Data Integration Services Market by Country
9.4.2 LAMEA Data Integration Market by Business Application
9.4.2.1 LAMEA Marketing Market by Country
9.4.2.2 LAMEA Sales Market by Country
9.4.2.3 LAMEA Operations Market by Country
9.4.2.4 LAMEA HR Market by Country
9.4.2.5 LAMEA Finance Market by Country
9.4.3 LAMEA Data Integration Market by Deployment Type
9.4.3.1 LAMEA On-premise Market by Country
9.4.3.2 LAMEA Cloud Market by Country
9.4.4 LAMEA Data Integration Market by Enterprise Size
9.4.4.1 LAMEA Large Enterprises Market by Country
9.4.4.2 LAMEA Small & Medium Enterprises Market by Country
9.4.5 LAMEA Data Integration Market by End User
9.4.5.1 LAMEA Healthcare & Life Sciences Market by Country
9.4.5.2 LAMEA BFSI Market by Country
9.4.5.3 LAMEA IT & Telecom Market by Country
9.4.5.4 LAMEA Manufacturing Market by Country
9.4.5.5 LAMEA Retail & Ecommerce Market by Country
9.4.5.6 LAMEA Government Market by Country
9.4.5.7 LAMEA Others Data Integration Market by Country
9.4.6 LAMEA Data Integration Market by Country
9.4.6.1 Brazil Data Integration Market
9.4.6.1.1 Brazil Data Integration Market by Component
9.4.6.1.2 Brazil Data Integration Market by Business Application
9.4.6.1.3 Brazil Data Integration Market by Deployment Type
9.4.6.1.4 Brazil Data Integration Market by Enterprise Size
9.4.6.1.5 Brazil Data Integration Market by End User
9.4.6.2 Argentina Data Integration Market
9.4.6.2.1 Argentina Data Integration Market by Component
9.4.6.2.2 Argentina Data Integration Market by Business Application
9.4.6.2.3 Argentina Data Integration Market by Deployment Type
9.4.6.2.4 Argentina Data Integration Market by Enterprise Size
9.4.6.2.5 Argentina Data Integration Market by End User
9.4.6.3 UAE Data Integration Market
9.4.6.3.1 UAE Data Integration Market by Component
9.4.6.3.2 UAE Data Integration Market by Business Application
9.4.6.3.3 UAE Data Integration Market by Deployment Type
9.4.6.3.4 UAE Data Integration Market by Enterprise Size
9.4.6.3.5 UAE Data Integration Market by End User
9.4.6.4 Saudi Arabia Data Integration Market
9.4.6.4.1 Saudi Arabia Data Integration Market by Component
9.4.6.4.2 Saudi Arabia Data Integration Market by Business Application
9.4.6.4.3 Saudi Arabia Data Integration Market by Deployment Type
9.4.6.4.4 Saudi Arabia Data Integration Market by Enterprise Size
9.4.6.4.5 Saudi Arabia Data Integration Market by End User
9.4.6.5 South Africa Data Integration Market
9.4.6.5.1 South Africa Data Integration Market by Component
9.4.6.5.2 South Africa Data Integration Market by Business Application
9.4.6.5.3 South Africa Data Integration Market by Deployment Type
9.4.6.5.4 South Africa Data Integration Market by Enterprise Size
9.4.6.5.5 South Africa Data Integration Market by End User
9.4.6.6 Nigeria Data Integration Market
9.4.6.6.1 Nigeria Data Integration Market by Component
9.4.6.6.2 Nigeria Data Integration Market by Business Application
9.4.6.6.3 Nigeria Data Integration Market by Deployment Type
9.4.6.6.4 Nigeria Data Integration Market by Enterprise Size
9.4.6.6.5 Nigeria Data Integration Market by End User
9.4.6.7 Rest of LAMEA Data Integration Market
9.4.6.7.1 Rest of LAMEA Data Integration Market by Component
9.4.6.7.2 Rest of LAMEA Data Integration Market by Business Application
9.4.6.7.3 Rest of LAMEA Data Integration Market by Deployment Type
9.4.6.7.4 Rest of LAMEA Data Integration Market by Enterprise Size
9.4.6.7.5 Rest of LAMEA Data Integration Market by End User
Chapter 10. Company Profiles
10.1 Trimble, Inc.
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expense
10.1.1 Recent strategies and developments
10.1.1.1 Acquisition and Mergers:
10.1.1.2 Product Launches and Product Expansions
10.2 Microsoft Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments
10.2.5.1 Partnerships, Collaborations, and Agreements
10.2.5.2 Product Launches and Product Expansions
10.2.6 SWOT Analysis
10.3 Apple, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Product and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Recent strategies and developments
10.3.5.1 Product Launches and Product Expansions
10.3.6 SWOT Analysis
10.4 Google LLC
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments
10.4.5.1 Product Launches and Product Expansions
10.4.6 SWOT Analysis
10.5 Mitsubishi Electric Corporation
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments
10.5.5.1 Product Launches and Product Expansions
10.5.5.2 Geographical Expansions
10.5.6 SWOT Analysis
10.6 Qualcomm, Inc.
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expense
10.6.5 Recent strategies and developments
10.6.5.1 Partnerships, Collaborations, and Agreements
10.6.6 SWOT Analysis
10.7 TomTom N.V.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments
10.7.5.1 Partnerships, Collaborations, and Agreements
10.7.6 SWOT Analysis
10.8 Hexagon AB (NovAtel, Inc.)
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Regional & Segmental Analysis
10.8.4 Research & Development Expenses
10.8.5 Recent strategies and developments
10.8.5.1 Product Launches and Product Expansions
10.9 Garmin Ltd.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expenses
10.9.5 Recent Strategies and Development:
10.9.5.1 Acquisitions and mergers:
10.9.5.2 Product Launches and Product Expansions
10.9.6 SWOT Analysis
10.10. Ericsson AB
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expense
10.10.5 Recent strategies and developments
10.10.5.1 Partnerships, Collaborations, and Agreements

Companies Mentioned

  • Precisely (Clearlake Capital Group)
  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • SAP SE
  • Talend S.A.
  • Software AG
  • SAS Institute, Inc.
  • Tibco Software, Inc. (Vista Equity Partners)
  • Informatica, LLC

Methodology

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