Data Integration Market by Component, Services, Deployment Mode (Cloud, On-premises), Organization Size (Large enterprises, SMEs), Industry Vertical, Business Application, and Region - Global Forecast to 2026
The global data integration market size was valued at USD 11.6 billion in 2021 and is expected to grow at a CAGR of 11.0% from 2021 to 2026. The revenue forecast for 2026 is projected to reach $19.6 billion. The base year for estimation is 2021, and the historical data spans from 2022 to 2026.
An industry trend analysis of the market is part of the latest research report. The most important stakeholders, conference and webinar materials, patent analysis, pricing analysis, and market buying behaviour are all included in the most recent research study. Various factors such as rise in big data technologies and cloud computing technologies, increasing amount of on-cloud data and incapability of traditional data management tools are expected to drive the adoption of data integration solutions and services.
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COVID-19 Impact
COVID–19 has globally changed the dynamics of business operations. Though the COVID–19 outbreak has thrown light on weaknesses in business models across verticals, it has offered several opportunities to digitalize and expand their business across regions as the adoption and integration of technologies such as cloud, AI, analytics, IoT, and blockchain has increased in the lockdown period. The retail and manufacturing sectors faced a significant dip in business performance during the first and second quarters of 2020. However, with the availability of vaccines and considerable control achieved over the pandemic, these sectors are expected to witness rising investments throughout the forecast period as data integration solutions grow in prominence across different business functions.
Data Integration Market Growth Dynamics
Driver: Rise of Big Data Technologies
With the increasing customer base and expansion of new regions and markets, organizations are facing many challenges to deal with the rapidly growing data sources. With the advent of big data technology, organizations have begun to recognize the benefits of implementing big data with full potential and are investing in big data technologies, including data integration. The growing data sources include internal data sources, such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), financial transactions from different departments, and external data sources such as web and cloud data sources, which are forming several information silos. Organizations require advanced data integration tools to combine these information silos, helping in getting valuable business insights, as traditional tools are becoming insufficient to capture and integrate data and combine these information silos. Modern data integration tools, including advanced transformation tools offered by different vendors, are equipped with advanced features, such as data capture, data profiling, data quality, data governance, and metadata management, to process data post-integration, resulting in smooth and reliable extraction of data.
Restraint: Lack of Expertise
Organizations, these days, should deploy advanced data integration technologies in data management and business management to capture and integrate the massive amounts of data from various internal and external data sources and combine the information silos to get valuable business insights. However, knowledge constraints and inadequate skills among the workforce limit them from adopting data integration tools. Organizations mostly work in silos; to gain a wider perspective of different verticals and applications, the need for data integration becomes more important. According to various reports and studies, surveys have repeatedly shown the poor knowledge and skills of the workforce in organizations. As per MarketsandMarket's internal analysis, only 18% of the organizations have adequate knowledgeable staff in the workplace to work on big data projects. To overcome this issue, organizations should focus on and invest heavily in training and certifications so that the workforce gets proper knowledge about the big data integration techniques and strategies and implements them for efficient data management.
Opportunity: Increasing amount of on-cloud data
The demand for cloud computing technology is growing day by day as it helps organizations in capturing data from disparate sources, such as connected remote sensors, distributed servers and web, and getting valuable business insights from the data. To capture and integrate this massive amount of data collected from various internal and external sources and combine the information silos, organizations require advanced big data integration tools. These tools can easily adapt to the organizations’ requirements and allow organizations to fully leverage their data pool by integrating data from cloud and the on-premise data transferred over cloud.
After the COVID-19 pandemic and global lockdown, organizations are preferring cloud deployments more over on-premises deployments. Hence, it has been a necessity for organizations to modify their data management strategies and implement data integration strategies, which makes a great opportunity for the data integration market to grow and expand the business.
Challenge: Mismanagement in Enterprise-level Planning
It is important for an organization to align its data integration and management strategies with its business strategies to deliver projects efficiently. But organizations often fail in their enterprise-level planning as there are multiple departments in an organization and different departments have different data integration requirements based on their respective information silos. A standard data integration strategy is required in an organization for effective enterprise-level planning. Organizations often have redundant data integration paths. They implement multiple tools and strategies for the same functionality or use multiple versions of the same products. Therefore, it is important for the organizations to have proper enterprise-level planning and deploy a standardization in data integration and management strategies to increase production in all levels and departments of the companies.
North America to account for largest data integration market size during the forecast period
North America is expected to have the largest market share in the data integration market. Key factors favoring the growth of the market in North America include the increasing technological advancements in the region. The growing number of data integration players across regions is expected to further drive market growth.
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Key Market Players
The data integration vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global data integration market include IBM(US), Microsoft(US), SAP(Germany), Oracle(US), SAS Institute(US), Talend(US), Informatica(US), Precisely(US), Software AG(Germany), Salesforce(US), Qlik(US), and Tibco(US).
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Scope of the Report
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|
Report Metrics |
Details |
|
Market size value in 2021 |
USD 11.6 Billion |
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Revenue forecast by 2026 |
USD 19.6 Billion |
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Growth Rate (CAGR) |
CAGR of 11.0% from 2021 to 2026 |
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Segments covered |
Component, Services, Deployment Mode, Organization Size, Industry Vertical, Business Application, and Region |
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Geographies covered |
North America, Europe, APAC, MEA, and Latin America |
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Companies covered |
IBM(US), Microsoft(US), SAP(Germany), Oracle(US), SAS Institute(US), Talend(US), Informatica(US), Precisely(US), Software AG(Germany), Salesforce(US) and many more. |
This research report categorizes the data integration market based on components, type, deployment mode, organization size, application, vertical, and regions.
By Component:
- Tools
- Services
- Professional Services
- Managed Services
By Deployment Mode:
- Cloud
- On-premises
By Organization Size:
- Large enterprises
- Small and medium-sized enterprises (SMEs)
By Business Application:
- Marketing
- Sales
- Operations
- Finance
- HR
By Vertical:
- BFSI
- Retail and Consumer Goods
- Media and Entertainment
- Manufacturing
- Energy and Utilities
- Telecom and IT
- Healthcare and Life Sciences
- Government and Defense
- Others (transportation and logistics, travel and hospitality, and academia and research)
By Region:
-
North America
- US
- Canada
-
Europe
- UK
- Germany
- France
- Rest of Europe
-
APAC
- China
- Japan
- India
- Rest of APAC
-
MEA
- Middle East
- Africa
-
Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In September 2021, Microsoft launched Azure Data Factory (ADF) to allow safe access to the data sourceand stop data from being exposed to the public internet.
- In May 2021, SAS announced to reinforce the foundation for data and analytics success by incorporating new data management solutions into its cloud native SASViya platform.
- In May 2021, TIBCO Software announced the update to its Unify data management portfolio, which includes TIBCO Data Virtualization and TIBCO EBX products to significantly strengthen an organization's data fabric, allowing customers to leverage the immense potential of data.
- In April 2021, Oracle made its GoldenGate technology available as a highly automated, fully managed cloud service that clients can use to help ensure that their valuable data is always available and analyzable in real-time, wherever they need it.
- In March 2021, IBM launched its Palantir for IBM Cloud Pak for Data for general availability.
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 22)
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
FIGURE 1 COVID-19: THE GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
1.3 COVID-19 ECONOMIC ASSESSMENT
FIGURE 3 REVISED GDP FORECASTS FOR SELECT G20 COUNTRIES IN 2020
1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 4 CRITERIA IMPACTING THE GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF THE GLOBAL ECONOMY
1.4 OBJECTIVES OF THE STUDY
1.5 MARKET DEFINITION
1.6 MARKET SCOPE
FIGURE 6 DATA INTEGRATION MARKET: MARKET SEGMENTATION
1.6.1 REGIONAL SCOPE
1.6.2 YEARS CONSIDERED FOR THE STUDY
1.7 CURRENCY
1.8 STAKEHOLDERS
2 RESEARCH METHODOLOGY (Page No. - 30)
2.1 RESEARCH DATA
FIGURE 7 DATA INTEGRATION MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakdown of primaries
FIGURE 8 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
FIGURE 9 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 10 DATA INTEGRATION MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF THE MARKET
FIGURE 12 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF THE MARKET
FIGURE 13 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF THE DATA INTEGRATION MARKET
FIGURE 14 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (DEMAND SIDE): PRODUCTS/SOLUTIONS/SERVICES SOLD AND THEIR AVERAGE SELLING PRICE
2.4 MARKET FORECAST
TABLE 1 FACTOR ANALYSIS
2.5 COMPANY EVALUATION MATRIX METHODOLOGY
FIGURE 15 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.6 START-UP/SME EVALUATION MATRIX METHODOLOGY
FIGURE 16 START-UP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.7 ASSUMPTIONS FOR THE STUDY
2.8 LIMITATIONS OF THE STUDY
3 EXECUTIVE SUMMARY (Page No. - 43)
FIGURE 17 DATA INTEGRATION MARKET: EVOLUTION
TABLE 2 GLOBAL MARKET SIZE AND GROWTH RATE, 2015–2020 (USD MILLION, Y-O-Y%)
TABLE 3 GLOBAL MARKET SIZE AND GROWTH RATE, 2021–2026 (USD MILLION, Y-O-Y%)
FIGURE 18 TOOLS SEGMENT ESTIMATED TO ACCOUNT FOR A LARGER MARKET SIZE IN 2021
FIGURE 19 PROFESSIONAL SERVICES SEGMENT ESTIMATED TO ACCOUNT FOR A LARGER MARKET SHARE IN 2021
FIGURE 20 MARKETING BUSINESS APPLICATION ESTIMATED TO ACCOUNT FOR THE LARGEST MARKET SIZE IN 2021
FIGURE 21 ON PREMISE SEGMENT ESTIMATED TO ACCOUNT FOR A LARGER MARKET SIZE IN 2021
FIGURE 22 LARGE ENTERPRISES SEGMENT ESTIMATED TO ACCOUNT FOR A LARGER MARKET SHARE IN 2021
FIGURE 23 HEALTHCARE AND LIFE SCIENCES VERTICAL ESTIMATED TO ACCOUNT FOR THE LARGEST MARKET SIZE IN 2021
FIGURE 24 NORTH AMERICA ESTIMATED TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2021
4 PREMIUM INSIGHTS (Page No. - 48)
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE DATA INTEGRATION MARKET
FIGURE 25 HIGH DEMAND FOR TOOLS COMBINING SEVERAL HETEROGENEOUS DATA SOURCES DRIVING THE MARKET
4.2 DATA INTEGRATION MARKET, BY VERTICAL
FIGURE 26 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
4.3 DATA INTEGRATION MARKET, BY REGION
FIGURE 27 NORTH AMERICA EXPECTED TO ACCOUNT FOR THE LARGEST MARKET SHARE BY 2026
4.4 DATA INTEGRATION MARKET: TOP THREE BUSINESS APPLICATIONS AND VERTICALS
FIGURE 28 MARKETING, AND HEALTHCARE AND LIFE SCIENCES SEGMENTS EXPECTED TO ACCOUNT FOR SIGNIFICANT MARKET SHARES BY 2026
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 50)
5.1 INTRODUCTION
FIGURE 29 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: DATA INTEGRATION MARKET
5.1.1 DRIVERS
5.1.1.1 Rise of big data technologies
5.1.1.2 Rise of cloud computing technologies
5.1.2 RESTRAINTS
5.1.2.1 Lack of expertise
5.1.2.2 Comparatively expensive to use
5.1.3 OPPORTUNITIES
5.1.3.1 Overcoming the lacunae of traditional data management tools
5.1.3.2 Increasing amount of on-cloud data
5.1.4 CHALLENGES
5.1.4.1 Mismanagement in enterprise-level planning
5.1.4.2 Reluctance to adopt advanced data integration technologies
5.2 DATA INTEGRATION: EVOLUTION
FIGURE 30 EVOLUTION OF DATA INTEGRATION
5.3 CASE STUDY ANALYSIS
TABLE 4 USE CASES: PROMINENT INDUSTRY-WISE INSTANCES
5.3.1 BANKING, FINANCIAL SERVICES, AND INSURANCE
5.3.1.1 Case study 1: To combine 23 disparate ERP systems into a single SAP ERP application
5.3.1.2 Case study 2: To help global insurance providers from multiple platforms
5.3.2 TELECOMMUNICATION AND IT
5.3.2.1 Case study 1: To provide robust integration with numerous CRM systems, various presence systems, and IPEX presence bot
5.3.3 RETAIL AND CONSUMER GOODS
5.3.3.1 Case study 1: Informatica offered solutions to Vita Coco’s goals for upgrading its business intelligence to drive growth
5.3.4 HEALTHCARE AND LIFE SCIENCES
5.3.4.1 Case study 1: To improve patient outcomes and provide better preventive care in healthcare verticals
5.3.5 MANUFACTURING
5.3.5.1 Case study 1: webMethods helped Prinzhorn gain an overview of all the dataflows in the company
5.4 PORTER’S FIVE FORCES ANALYSIS
FIGURE 31 DATA INTEGRATION MARKET: PORTER’S FIVE FORCES ANALYSIS
TABLE 5 DATA INTEGRATION MARKET: PORTER’S FIVE FORCES ANALYSIS
5.4.1 THREAT OF NEW ENTRANTS
5.4.2 THREAT OF SUBSTITUTES
5.4.3 BARGAINING POWER OF SUPPLIERS
5.4.4 BARGAINING POWER OF BUYERS
5.4.5 INTENSITY OF COMPETITIVE RIVALRY
5.5 REGULATORY IMPLICATIONS
5.5.1 INTRODUCTION
5.5.2 SARBANES-OXLEY ACT OF 2002
5.5.3 GENERAL DATA PROTECTION REGULATION
5.5.4 BASEL
6 DATA INTEGRATION MARKET ANALYSIS, BY COMPONENT (Page No. - 62)
6.1 INTRODUCTION
TABLE 6 MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 7 DATA INTEGRATION MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
FIGURE 32 TOOLS IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
6.2 TOOLS
TABLE 8 DATA INTEGRATION TOOLS MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 9 DATA INTEGRATION TOOLS MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.3 SERVICES
FIGURE 33 PROFESSIONAL SERVICES SEGMENT IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
TABLE 10 DATA INTEGRATION SERVICES MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 11 DATA INTEGRATION SERVICES MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
TABLE 12 MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 13 DATA INTEGRATION MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
6.3.1 MANAGED SERVICES
TABLE 14 DATA INTEGRATION MANAGED SERVICES MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 15 DATA INTEGRATION MANAGED SERVICES MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.3.2 PROFESSIONAL SERVICES
TABLE 16 DATA INTEGRATION PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 17 DATA INTEGRATION PROFESSIONAL SERVICES MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
7 DATA INTEGRATION MARKET ANALYSIS, BY BUSINESS APPLICATION (Page No. - 69)
7.1 INTRODUCTION
TABLE 18 DATA INTEGRATION MARKET SIZE, BY BUSINESS APPLICATION, 2015–2020 (USD MILLION)
TABLE 19 MARKET SIZE, BY BUSINESS APPLICATION, 2021–2026 (USD MILLION)
FIGURE 34 HUMAN RESOURCES APPLICATION IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
7.2 MARKETING
TABLE 20 MARKETING: DATA INTEGRATION MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 21 MARKETING: MARKET, BY REGION, 2021–2026 (USD MILLION)
7.3 SALES
TABLE 22 SALES: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 23 SALES: DATA INTEGRATION MARKET, BY REGION, 2021–2026 (USD MILLION)
7.4 OPERATIONS
TABLE 24 OPERATIONS: DATA INTEGRATION MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 25 OPERATIONS: MARKET, BY REGION, 2021–2026 (USD MILLION)
7.5 FINANCE
TABLE 26 FINANCE: DATA INTEGRATION MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 27 FINANCE: MARKET, BY REGION, 2021–2026 (USD MILLION)
7.6 HUMAN RESOURCES
TABLE 28 HUMAN RESOURCES: MARKET, BY REGION, 2015–2020 (USD MILLION)
TABLE 29 HUMAN RESOURCES: DATA INTEGRATION MARKET, BY REGION, 2021–2026 (USD MILLION)
8 DATA INTEGRATION MARKET ANALYSIS, BY DEPLOYMENT MODE (Page No. - 77)
8.1 INTRODUCTION
TABLE 30 DATA INTEGRATION MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 31 MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
FIGURE 35 ON-PREMISES DEPLOYMENT MODEL IS EXPECTED TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
8.2 ON-PREMISES
TABLE 32 ON-PREMISES: DATA INTEGRATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 33 ON-PREMISES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
8.3 ON-CLOUD
TABLE 34 CLOUD: DATA INTEGRATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 35 CLOUD: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9 DATA INTEGRATION MARKET ANALYSIS, BY ORGANIZATION SIZE (Page No. - 81)
9.1 INTRODUCTION
TABLE 36 DATA INTEGRATION MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 37 MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
FIGURE 36 SMALL AND MEDIUM ENTERPRISES SEGMENT IS EXPECTED TO HAVE THE HIGHEST CAGR DURING THE FORECAST PERIOD
9.2 LARGE ENTERPRISES
TABLE 38 LARGE ENTERPRISES DATA INTEGRATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 39 LARGE ENTERPRISES MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.3 SMALL AND MEDIUM ENTERPRISES
TABLE 40 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 41 SMALL AND MEDIUM-SIZED ENTERPRISES: DATA INTEGRATION MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10 DATA INTEGRATION MARKET ANALYSIS, BY VERTICAL (Page No. - 86)
10.1 OPERATIONAL DRIVERS
10.2 INTRODUCTION
TABLE 42 DATA INTEGRATION MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 43 MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
FIGURE 37 RETAIL AND CONSUMER GOODS VERTICAL IS EXPECTED TO HAVE THE HIGHEST CAGR DURING THE FORECAST PERIOD
10.3 HEALTHCARE AND LIFE SCIENCES
TABLE 44 HEALTHCARE AND LIFE SCIENCES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 45 HEALTHCARE AND LIFE SCIENCES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.4 BANKING, FINANCIAL SERVICES, AND INSURANCE
TABLE 46 BANKING, FINANCIAL SERVICES, AND INSURANCE: DATA INTEGRATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 47 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.5 MANUFACTURING
TABLE 48 MANUFACTURING: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 49 MANUFACTURING: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.6 RETAIL AND CONSUMER GOODS
TABLE 50 RETAIL AND CONSUMER GOODS: DATA INTEGRATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 51 RETAIL AND CONSUMER GOODS: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.7 IT AND TELECOM
TABLE 52 IT AND TELECOM: DATA INTEGRATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 53 IT AND TELECOM: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.8 MEDIA AND ENTERTAINMENT
TABLE 54 MEDIA AND ENTERTAINMENT: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 55 MEDIA AND ENTERTAINMENT: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.9 ENERGY AND UTILITIES
TABLE 56 ENERGY AND UTILITIES: DATA INTEGRATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 57 ENERGY AND UTILITIES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.10 GOVERNMENT AND DEFENSE
TABLE 58 GOVERNMENT AND DEFENSE: DATA INTEGRATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 59 GOVERNMENT AND DEFENSE: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.11 OTHERS
TABLE 60 OTHER VERTICALS: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 61 OTHER VERTICALS: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
11 DATA INTEGRATION MARKET, BY REGION (Page No. - 100)
11.1 INTRODUCTION
FIGURE 38 JAPAN IS EXPECTED TO HAVE THE HIGHEST CAGR IN THE DATA INTEGRATION MARKET DURING THE FORECAST PERIOD
TABLE 62 MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 63 MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
FIGURE 39 NORTH AMERICA IS EXPECTED TO HAVE THE LARGEST MARKET SIZE IN THE DATA INTEGRATION MARKET DURING THE FORECAST PERIOD
11.2 NORTH AMERICA
FIGURE 40 NORTH AMERICA MARKET SNAPSHOT
TABLE 64 NORTH AMERICA: DATA INTEGRATION MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 65 NORTH AMERICA: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 66 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 67 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 68 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 69 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 70 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 71 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 72 NORTH AMERICA: MARKET SIZE, BY BUSINESS APPLICATION, 2015–2020 (USD MILLION)
TABLE 73 NORTH AMERICA: MARKET SIZE, BY BUSINESS APPLICATION, 2021–2026 (USD MILLION)
TABLE 74 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 75 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 76 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 77 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
11.3 EUROPE
TABLE 78 EUROPE: DATA INTEGRATION MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 79 EUROPE: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 80 EUROPE: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 81 EUROPE: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 82 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 83 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 84 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 85 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 86 EUROPE: MARKET SIZE, BY BUSINESS APPLICATION, 2015–2020 (USD MILLION)
TABLE 87 EUROPE: MARKET SIZE, BY BUSINESS APPLICATION, 2021–2026 (USD MILLION)
TABLE 88 EUROPE: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 89 EUROPE: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 90 EUROPE: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 91 EUROPE: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
11.4 ASIA PACIFIC (APAC)
FIGURE 41 ASIA PACIFIC MARKET SNAPSHOT
TABLE 92 ASIA PACIFIC: DATA INTEGRATION MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 93 ASIA PACIFIC: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 94 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 95 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 96 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 97 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 98 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 99 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 100 ASIA PACIFIC: MARKET SIZE, BY BUSINESS APPLICATION, 2015–2020 (USD MILLION)
TABLE 101 ASIA PACIFIC: MARKET SIZE, BY BUSINESS APPLICATION, 2021–2026 (USD MILLION)
TABLE 102 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 103 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 104 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 105 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
11.5 MIDDLE EAST AND AFRICA
TABLE 106 MIDDLE EAST AND AFRICA: DATA INTEGRATION MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 107 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 108 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 109 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 110 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 111 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 112 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 113 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 114 MIDDLE EAST AND AFRICA: MARKET SIZE, BY BUSINESS APPLICATION, 2015–2020 (USD MILLION)
TABLE 115 MIDDLE EAST AND AFRICA: MARKET SIZE, BY BUSINESS APPLICATION, 2021–2026 (USD MILLION)
TABLE 116 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 117 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 118 MIDDLE EAST AND AFRICA: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 119 MIDDLE EAST AND AFRICA: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
11.6 LATIN AMERICA
TABLE 120 LATIN AMERICA: DATA INTEGRATION MARKET SIZE, BY COMPONENT, 2015–2020 (USD MILLION)
TABLE 121 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2021–2026 (USD MILLION)
TABLE 122 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2015–2020 (USD MILLION)
TABLE 123 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2021–2026 (USD MILLION)
TABLE 124 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 125 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 126 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 127 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 128 LATIN AMERICA: MARKET SIZE, BY BUSINESS APPLICATION, 2015–2020 (USD MILLION)
TABLE 129 LATIN AMERICA: MARKET SIZE, BY BUSINESS APPLICATION, 2021–2026 (USD MILLION)
TABLE 130 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 131 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 132 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 133 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
12 COMPANY LANDSCAPE (Page No. - 129)
12.1 COMPANY OVERVIEW
12.2 KEY PLAYER STRATEGIES
FIGURE 42 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN THE DATA INTEGRATION MARKET, 2018-2021
12.3 REVENUE ANALYSIS
FIGURE 43 REVENUE ANALYSIS FOR KEY COMPANIES, 2016-2020
12.4 MARKET SHARE ANALYSIS
FIGURE 44 DATA INTEGRATION MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2018-2021
TABLE 134 MARKET: DEGREE OF COMPETITION
12.5 COMPANY EVALUATION QUADRANT
12.5.1 STARS
12.5.2 EMERGING LEADERS
12.5.3 PERVASIVE PLAYERS
12.5.4 PARTICIPANTS
FIGURE 45 KEY DATA INTEGRATION MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2021
12.6 COMPETITIVE BENCHMARKING
TABLE 135 COMPANY SOLUTION FOOTPRINT (TOP 3)
TABLE 136 COMPANY REGION FOOTPRINT
12.7 STARTUP/SME EVALUATION QUADRANT
12.7.1 PROGRESSIVE COMPANIES
12.7.2 RESPONSIVE COMPANIES
12.7.3 DYNAMIC COMPANIES
12.7.4 STARTING BLOCKS
FIGURE 46 STARTUP/SME DATA INTEGRATION MARKET EVALUATION MATRIX, 2021
12.8 COMPETITIVE SCENARIO
12.8.1 PRODUCT LAUNCHES
TABLE 137 PRODUCT LAUNCHES, MARCH 2021–SEPTEMBER 2021
12.8.2 DEALS
TABLE 138 DEALS, APRIL 2021–OCTOBER 2021
13 COMPANY PROFILES (Page No. - 140)
13.1 INTRODUCTION
(Business and financial overview, Solutions offered, Recent developments, SWOT analysis & MnM View)*
13.2 KEY PLAYERS
13.2.1 MICROSOFT
TABLE 139 MICROSOFT: BUSINESS OVERVIEW
FIGURE 47 MICROSOFT: COMPANY SNAPSHOT
TABLE 140 MICROSOFT: SOLUTIONS OFFERED
TABLE 141 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 142 MICROSOFT: DEALS
13.2.2 IBM
TABLE 143 IBM: BUSINESS OVERVIEW
FIGURE 48 IBM: COMPANY SNAPSHOT
TABLE 144 IBM: SOLUTIONS OFFERED
TABLE 145 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 146 IBM: DEALS
TABLE 147 IBM: OTHERS
13.2.3 SAP
TABLE 148 SAP: BUSINESS OVERVIEW
FIGURE 49 SAP: COMPANY SNAPSHOT
TABLE 149 SAP: SOLUTIONS OFFERED
TABLE 150 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 151 SAP: DEALS
TABLE 152 SAP: OTHERS
13.2.4 ORACLE
TABLE 153 ORACLE: BUSINESS OVERVIEW
FIGURE 50 ORACLE: COMPANY SNAPSHOT
TABLE 154 ORACLE: SOLUTIONS OFFERED
TABLE 155 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 156 ORACLE: DEALS
TABLE 157 ORACLE: OTHERS
13.2.5 SAS INSTITUTE
TABLE 158 SAS INSTITUTE: BUSINESS OVERVIEW
FIGURE 51 SAS INSTITUTE: COMPANY SNAPSHOT
TABLE 159 SAS INSTITUTE: SOLUTIONS OFFERED
TABLE 160 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 161 SAS INSTITUTE: DEALS
TABLE 162 SAS INSTITUTE: OTHERS
13.2.6 TALEND
TABLE 163 TALEND: BUSINESS OVERVIEW
FIGURE 52 ALEND: COMPANY SNAPSHOT
TABLE 164 TALEND: SOLUTIONS OFFERED
TABLE 165 TALEND: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 166 TALEND: DEALS
13.2.7 INFORMATICA
TABLE 167 INFORMATICA: BUSINESS OVERVIEW
TABLE 168 INFORMATICA: SOLUTIONS OFFERED
TABLE 169 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 170 INFORMATICA: DEALS
13.2.8 PRECISELY
TABLE 171 PRECISELY: BUSINESS OVERVIEW
TABLE 172 PRECISELY: SOLUTIONS OFFERED
TABLE 173 PRECISELY: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 174 PRECISELY: DEALS
13.2.9 SOFTWARE AG
TABLE 175 SOFTWARE AG: BUSINESS OVERVIEW
TABLE 176 SOFTWARE AG: SOLUTIONS OFFERED
TABLE 177 SOFTWARE AG: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 178 SOFTWARE AG: DEALS
13.2.10 TIBCO
TABLE 179 TIBCO: BUSINESS OVERVIEW
TABLE 180 TIBCO SOFTWARE: SOLUTIONS OFFERED
TABLE 181 TIBCO SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 182 TIBCO SOFTWARE: DEALS
*Details on Business and financial overview, Solutions offered, Recent developments, SWOT analysis & MnM View might not be captured in case of unlisted companies.
13.3 OTHER PLAYERS
13.3.1 HEVO
13.3.2 QLIK
13.3.3 DENODO TECHNOLOGIES
13.3.4 ACTIAN
13.3.5 HVR
13.3.6 HITACHI VANTARA
13.3.7 ADEPTIA
13.3.8 BOOMI
13.3.9 JITTERBIT
13.3.10 OPENTEXT
13.3.11 SALESFORCE
13.3.12 SNAPLOGIC
13.3.13 WORKATO
13.3.14 YOUREDI
13.3.15 ZIGIWAVE
14 ADJACENT MARKETS (Page No. - 185)
14.1 BIG DATA MARKET - GLOBAL FORECAST TO 2025
14.1.1 MARKET DEFINITION
14.1.2 MARKET OVERVIEW
14.1.2.1 Big data market, by component
TABLE 183 BIG DATA MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
TABLE 184 SOLUTIONS: BIG DATA MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
TABLE 185 BIG DATA MARKET SIZE, BY SERVICE, 2018–2025 (USD MILLION)
TABLE 186 PROFESSIONAL SERVICES: BIG DATA MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
14.1.2.2 Big data market, by deployment mode
TABLE 187 BIG DATA MARKET SIZE, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
TABLE 188 CLOUD: BIG DATA MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
14.1.2.3 Big data market, by organization size
TABLE 189 BIG DATA MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
14.1.2.4 Big data market, by Business Application
TABLE 190 BIG DATA MARKET SIZE, BY BUSINESS APPLICATION, 2018–2025 (USD MILLION)
14.1.2.5 Big data market, by industry vertical
TABLE 191 BIG DATA MARKET SIZE, BY INDUSTRY VERTICAL, 2018–2025 (USD MILLION)
14.1.2.6 Big data market, by region
TABLE 192 BIG DATA MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
15 APPENDIX (Page No. - 191)
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 AVAILABLE CUSTOMIZATIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
The research study for the data integration market report involved the use of extensive secondary sources, directories, as well as several journals and magazines to identify and collect information that is useful for this technical and market-oriented study. During the production cycle of the report, in-depth interviews were conducted with various primary respondents, including key opinion leaders, subject-matter experts, high-level executives of various companies offering data integration solutions and services, and industry consultants, to obtain and verify critical qualitative and quantitative information, as well as, assess the market prospects and industry trends.
Secondary Research
In the secondary research process, various sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports, press releases, investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.
Primary Research
Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from data integration solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
The following is the breakup of primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Top-down and bottom-up approaches were used to estimate and validate the size of the global data integration market and various other dependent subsegments. The research methodology used to estimate the market size included the following details: the key players not limited to IBM, Microsoft, Oracle, SAP, SAS, and Talend in the market were identified through extensive secondary research, and their revenue contribution in the respective regions were determined through primary and secondary research. The entire procedure included the study of the annual and financial reports of top market players and extensive interviews for key insights from industry leaders, such as CEOs, VPs, directors, and marketing executives. All percentage splits and breakups were determined using secondary sources and verified through primary sources.
All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.
- The pricing trend is assumed to vary over time.
- All the forecasts are made with the standard assumption that the accepted currency is USD.
- For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website is used.
- All the forecasts are made under the standard assumption that the globally accepted currency USD remains constant during the next five years.
- Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.
- Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on data integration solutions based on some of the key use cases. These factors for the data integration industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.
Data Triangulation
After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, describe, and predict the data integration market by component (platform and services), professional service, organization size, deployment mode, application, vertical, and region
- To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
- To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
- To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
- To profile key players and comprehensively analyze their market rankings and core competencies
- To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the market
- To analyze the impact of the COVID-19 pandemic on the data integration market
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
- Product matrix provides a detailed comparison of the product portfolio of each company
Geographic Analysis
- Further breakup of the North American data integration market
- Further breakup of the European market
- Further breakup of the APAC data integration market
- Further breakup of the Latin American market
- Further breakup of the MEA data integration market
Company Information
- Detailed analysis and profiling of additional market players up to 5
Generating Response ...
Growth opportunities and latent adjacency in Data Integration Market