This statistic shows the level of integration of data and analytics in various business areas worldwide, according to a 2016 survey. As of 2016, 71 percent of respondents stated that data and analytics were integral to all decision-making in monitoring business performance via financial reporting.

This is a public register for all data integration projects involving Commonwealth data for statistical and research purposes. The register enables stakeholders and the community to be informed of statistical data integration projects involving Commonwealth data. \r \r Information on this register includes the project purpose, project dates and data custodians involved, recognising that specific details on individual use will not be made publicly available for in-confidence government business. For similar reasons, actual data will not be included.\r \r The Integrating Authority nominated for each project is responsible for submitting an entry to the register.\r \r Feedback on the register - including compliments, complaints and requests for more detail - is welcome.\r \r To register a project or provide comments about data integration projects involving Commonwealth data, please get in touch.\r \r Phone: (02) 6252 7198\r \r Email: statistical data.integration@abs.gov.au\r \r Further information: https://toolkit.data.gov.au/index.php/Statistical_Data_Integration

The Data Integration Market is projected to grow from USD 14.23 billion in 2024 to USD 30.87 billion by 2030, with a CAGR of 13.78% during 2025-2030.

The Data Integration Market is projected to grow at 14.0% CAGR, reaching $25.69 Billion by 2029. Where is the industry heading next? Get the sample report now!

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Data Integration Market Size 2024-2028

The data integration market size is forecast to increase by USD 10.94 billion at a CAGR of 12.88% between 2023 and 2028.

The market is experiencing significant growth due to the increasing importance of managing and leveraging diverse data assets for business intelligence and analytics solutions. Data integration involves the transformation, mapping, and loading of data from various sources into a data warehouse or data lake for analysis. This process is crucial for corporations to gain insights from their data and make informed decisions. 
Automation of data integration through cloud-based software is a major trend, enabling real-time data processing and integration. Data enrichment, fraud detection and prevention, and data science applications are driving the demand for advanced data integration platforms.

What will be the Size of the Data Integration Market During the Forecast Period?

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The market also offers consulting, training, and technical support services to help businesses optimize their data integration solutions.
Business automation and enterprise analytics are key applications of data integration, with corporate reporting and hybrid data integration gaining traction. Data integration solutions enable seamless data flow between on-premises and cloud-based data warehouses, ensuring accurate and timely data for business users. The market is expected to continue growing as businesses increasingly rely on data-driven insights for competitive advantage.

How is this Data Integration Industry segmented and which is the largest segment?

The data integration industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2017-2022 for the following segments.

End-user

  IT and telecom
  Healthcare
  BFSI
  Government and defense
  Others


Component

  Tools
  Services


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  Middle East and Africa



  South America

By End-user Insights

The it and telecom segment is estimated to witness significant growth during the forecast period.

In today's interconnected world, the telecom sector relies on operational support systems (OSS) and business support systems (BSS) to manage communication networks and customer management activities, respectively. With the proliferation of Internet of Things (IoT) and smart devices, seamless integration of multiple systems has become essential. The competitive telecom industry, driven by advanced communication technologies like 4G long-term evolution (LTE) and worldwide interoperability for microwave access (WiMax), demands efficient data integration. Cloud-based automation software plays a crucial role in this process, enabling data enrichment, enterprise connectivity, and fraud detection. Data science applications further enhance the value of integrated data, providing actionable insights for business growth. The integration of OSS and BSS software ensures effective communication and customer management in the telecom sector.

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The IT and telecom segment was valued at USD 2.57 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 33% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market in North America is experiencing significant growth due to enterprises upgrading their IT infrastructure for improved operational efficiency in the competitive business landscape. The increasing adoption of cloud computing is a key driver, enabling seamless integration of various IT infrastructures and service platforms such as HP Enterprise and OneNeck IT Solutions. Additionally, the widespread use of cloud-based CRM systems among North American organizations has led to the popularity of the hybrid model, which combines on-premises and cloud solutions, to meet diverse business requirements. Business automation, data warehouses, corporate reporting, and enterprise analytics are primary applications fueling the demand for data integration solutions in this region.

Market Dynamics

Our data integration market researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the ri

The CRM Integration Services market has emerged as a vital component for businesses striving to enhance customer relationship management and optimize operational efficiencies. With the continuous evolution of digital tools and customer expectations, integrating various CRM platforms with existing systems has become

This statistic shows revenue from the analytic data integration and intelligence software market worldwide, from 2013 to 2019. In 2019, the revenue from the analytic data integration and integrity software market amounted to almost 3.37 billion U.S. dollars.

The Integrated Postsecondary Education Data System, 2010-11 (IPEDS 2010-11), was a study that was part of the Integrated Postsecondary Education Data System (IPEDS) program; program data is available since 1980 at . IPEDS 2010-11 (https://nces.ed.gov/ipeds/) was a cross-sectional survey designed to collect basic data from all postsecondary institutions in the United States and the other jurisdictions. Key statistics produced from IPEDS 2010-11 allowed the National Center for Education Statistics (NCES) to describe the size of one of the nation's largest enterprises--postsecondary education-- in terms of students enrolled, degrees and other awards earned, dollars expended, and staff employed. All Title IV institutions were required to respond to IPEDS (see Section 490 of the Higher Education Amendments of 1992 [P.L. 102-325; 20 U.S.C. 1070 et seq.]). IPEDS allowed other, non-Title IV institutions to participate on a voluntary basis, but only about 200 elected to respond.

The size and share of the market is categorized based on Application (Bsfi, Government, E-commerce, Healthcare, Others) and Product (On-premise, Hosted) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The system integration (SI) market in Japan was estimated at a size of almost 16 trillion Japanese yen in fiscal year 2023. A breakdown of the market by segment shows that public cloud related system integration made up more than one-third of the market. Based on an expected strong growth of the public cloud services segment, it was forecast that the SI market would reach a size of more than 20 trillion yen by fiscal year 2027.

According to Cognitive Market Research, the global Data Integration Market size will be USD 15.24 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 12.31% from 2024 to 2031. Market Dynamics of Data Integration Market

Key Drivers for Data Integration Market

Increasing Data Complexity and Volume- One of the main reasons for the Data Masking Market is the growth of data complexity and volume drives the data integration market as organizations face challenges in aggregating, harmonizing, and analyzing diverse data sources. With the proliferation of structured and unstructured data from various sources, such as IoT devices, social media, and enterprise applications, the need for robust data integration solutions grows to ensure seamless data flow and insights generation.
Big Data Analytics in increasing demand for aggregating and harmonizing diverse datasets.

Key Restraints for Data Integration Market Market

The complexity of integrating diverse data sources and legacy systems seriously threatens the Data Integration Market industry.
High costs associated with data integration tools and processes impact the market's growth.

Introduction of the Data Integration Market Market

Data Integration Market is the increasing need for seamless access and analysis of diverse data sources to support informed decision-making and digital transformation initiatives. As organizations accumulate vast amounts of data from various systems, applications, and platforms, integrating this data into a unified view becomes crucial. Data integration solutions enable businesses to break down data silos, ensuring consistent, accurate, and real-time data availability across the enterprise. This capability is essential for leveraging advanced analytics, business intelligence, and machine learning, driving operational efficiency, enhancing customer experiences, and gaining competitive advantages in an increasingly data-driven world.

Get detailed insights into the current valuation of Data Integration market size, including growth analysis, current market status and future market projections.

Concept and Implementation Framework for using AusPIX DGGS cells to integrate data from diverse sources. Complies with outcomes of the Loc-I project. Reports on a multi-level framework concept and methods for AusPIX data integration 1) AusPIX DGGS enablement - transform datasets into the AusPIX format 2) Integration layer - integrate 2 or more datasets that have been AusPIX enabled 3) Statistics layer - how to derive simple or complex statistics from the integrated dataset 4) AusPIX as linked data 5) AusPIX as Machine readable data 6) Visualisation Layer - visualise any part of the framework as grid 7) Updating and adding data sets 8) Data-drill concept in AusPIX Discusses the definition of each layer, scope of development, existing and potential, and the tools required or /and available

Institutional Repository Usage Statistics UK (IRUS-UK) is a Jisc-funded project that serves as a national repository usage statistics aggregation service, which aims to provide article download statistics from UK repositories. At CORE, a full-text aggregation service, we wanted to present the information regarding the manuscripts’ downloads to repository managers and therefore, we have integrated into the CORE Repositories Dashboard, a content management tool designed for repository managers, the IRUS-CORE statistics. Currently, there are 93 repositories participating in IRUS-UK project that are also harvested in CORE.

The Integrated Postsecondary Education Data System, 2004-05 (IPEDS 2004-05), was a study that was part of the Integrated Postsecondary Education Data System (IPEDS) program; program data is available since 1980 at . IPEDS 2004-05 (https://nces.ed.gov/ipeds/) was a cross-sectional survey designed to collect basic data from all postsecondary institutions in the United States and the other jurisdictions. Key statistics produced from IPEDS 2004-05 allowed the National Center for Education Statistics (NCES) to describe the size of one of the nation's largest enterprises--postsecondary education-- in terms of students enrolled, degrees and other awards earned, dollars expended, and staff employed. All Title IV institutions were required to respond to IPEDS (see Section 490 of the Higher Education Amendments of 1992 [P.L. 102-325; 20 U.S.C. 1070 et seq.]). IPEDS allowed other, non-Title IV institutions to participate on a voluntary basis, but only about 200 elected to respond.

This dataset is part of a series of analysis on the integration of gender in the reports of the secretary general. It contains counts on different aspects of the integration of Gender and the Women, Peace and Security (WPS) agenda in the Reports of the Secretary-General (SG) in peacekeeping contexts since 2019. Each row represents one report.

For this dataset, Gender and WPS integration is measured as the presence of gender-specific language and recommendations, the presence of standalone WPS sections and the use of gender-disaggregated data in the content of the reports. Please refer to the Gender and Women, Peace and Security Language in the Reports of the Secretary-General dataset for more detailed language.

The size and share of the market is categorized based on Application (Integration platforms as a service (iPaaS), API management tools, Middleware solutions, Cloud integration platforms, Data synchronization apps) and Product (Cloud application integration, API management, Data synchronization, Enterprise integration, Application connectivity) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The Integrated Postsecondary Education Data System, 2008-09 (IPEDS 2008-09), was a study that was part of the Integrated Postsecondary Education Data System (IPEDS) program; program data is available since 1980 at . IPEDS 2008-09 (https://nces.ed.gov/ipeds/) was a cross-sectional survey designed to collect basic data from all postsecondary institutions in the United States and the other jurisdictions. Key statistics produced from IPEDS 2008-09 allowed the National Center for Education Statistics (NCES) to describe the size of one of the nation's largest enterprises--postsecondary education-- in terms of students enrolled, degrees and other awards earned, dollars expended, and staff employed. All Title IV institutions were required to respond to IPEDS (see Section 490 of the Higher Education Amendments of 1992 [P.L. 102-325; 20 U.S.C. 1070 et seq.]). IPEDS allowed other, non-Title IV institutions to participate on a voluntary basis, but only about 200 elected to respond.

This statistic shows the share of the population who agree that their local area is a place where people from different backgrounds get on well together in England in 2018/19, by age group. This belief was held proportionally more among those aged 75 and over.

The advent of high throughput technologies has led to a wealth of publicly available ‘omics data coming from different sources, such as transcriptomics, proteomics, metabolomics. Combining such large-scale biological data sets can lead to the discovery of important biological insights, provided that relevant information can be extracted in a holistic manner. Current statistical approaches have been focusing on identifying small subsets of molecules (a ‘molecular signature’) to explain or predict biological conditions, but mainly for a single type of ‘omics. In addition, commonly used methods are univariate and consider each biological feature independently. We introduce mixOmics, an R package dedicated to the multivariate analysis of biological data sets with a specific focus on data exploration, dimension reduction and visualisation. By adopting a systems biology approach, the toolkit provides a wide range of methods that statistically integrate several data sets at once to probe relationships between heterogeneous ‘omics data sets. Our recent methods extend Projection to Latent Structure (PLS) models for discriminant analysis, for data integration across multiple ‘omics data or across independent studies, and for the identification of molecular signatures. We illustrate our latest mixOmics integrative frameworks for the multivariate analyses of ‘omics data available from the package.