01 Industry overview
The data integration dataops industry at a glance
The data integration and DataOps industry is expanding rapidly: the global data integration market reached $17.9 billion in 2025 and is forecast to grow at a 12.7% CAGR through 2033.
- $17.9B[16]
- Data integration market, 2025
- 12.7%[16]
- Data integration CAGR, 2026–2033
- 35.0%[16]
- North America share, 2025
- $11B[65]
- IBM–Confluent acquisition, 2025
- Market size
- The global data integration market was valued at $17.9 billion in 2025 and is estimated at $20.3 billion in 2026. Gartner separately measured the narrower data integration software market at $5.9 billion in 2024.[16][66]
- Forecast & CAGR
- The global data integration market is projected to reach $47.0 billion by 2033, representing a 12.7% CAGR from 2026 to 2033. The DataOps platform market was valued at $5.8 billion in 2025 and is forecast to reach $36.1 billion by 2035, implying a 19.25% CAGR.[16][67]
- Market share & regions
- North America accounted for 35.0% of global data integration revenue in 2025, making it the largest regional market. The region’s position reflects the concentration of integration vendors, cloud infrastructure providers and enterprise technology buyers.[16][68]
- Segmentation
- Tools represented more than 65.0% of global data integration revenue in 2025. The market is also segmented by services, cloud and on-premises deployment, organization size, business application and end-use industry.[16]
- Pricing
- Pricing is increasingly usage-based: Fivetran measures monthly consumption using monthly active rows and offers a free plan covering up to 500,000 connector MAR, 3,500 activation MAR and 5,000 model runs per month. Fivetran also offers enterprise agreements with fixed annual pricing and no consumption limit in qualifying cases.[35]
- Trends, drivers & challenges
- Demand is being driven by AI-ready data requirements, cloud data ecosystems and the need to connect, process and govern data for AI agents. Key challenges include cloud dependency, migration complexity and pricing exposure from consumption-based models; the EU Data Act is increasing pressure for interoperability and easier provider switching.[66][65][69][35]
- M&A
- M&A activity is consolidating data integration, governance and streaming capabilities. Salesforce agreed to acquire Informatica for approximately $8 billion in equity value in May 2025, while IBM agreed to acquire Confluent for an enterprise value of $11 billion in December 2025 and completed the transaction in March 2026.[3][65]
- Regulation
- The EU Data Act entered into application on September 12, 2025. It establishes rules for fair access to and use of data and requires measures intended to make switching between data-processing providers easier, directly affecting integration architecture, portability and cloud interoperability.[69]
- Latest news
- In March 2026, IBM completed its acquisition of Confluent, a transaction valued at approximately $11 billion. The deal combines real-time data streaming with IBM’s broader data and AI platform strategy.[65]
02 Ranking
Top 10 Companies in the Data Integration Dataops Industry
The leading companies in the data integration dataops industry, ranked on market impact, performance, momentum, innovation and brand popularity.
Updated November 11, 2026 · Next review December 11, 2026
Microsoft and Oracle are tied at the top of Gitnux's 2026 data integration dataops ranking with an Overall score of 9.5 each.
Ranked by Overall score · How we score ↓
Editor's top 3 picks
Where to start, by need.
#1 Overall · Leader in cloud data integration
Microsoft
US
Ranked #1 · 9.5 · Cloud data integration
Why we picked it: Azure data integration and Data Factory sit within cloud revenue growth and sustained R&D at 12%.
Leader in database integration
Oracle
US
Ranked #2 · 9.5 · Database integration
Why we picked it: Database and cloud integration positioning is backed by 17% revenue growth and 15% R&D spend.
Leader in enterprise data integration
Salesforce
US
Ranked #4 · 8.9 · Enterprise data integration
Why we picked it: Enterprise integration expands through Informatica, aligning data governance and integration capabilities.
Pick 1 is the #1 company overall. Picks 2 and 3 are the highest-ranked companies in the top 5 that add a new segment.
Full ranking
| # | Company | Overall ↓ | Impact | Company snapshot |
|---|---|---|---|---|
| 1 | Microsoft Cloud data integration · US | 9.5 | 9.9 | |
Company snapshot · Microsoft · Data as of November 11, 2026 Azure and other cloud services revenue grew 34% in fiscal 2025, supporting Microsoft's data platform ecosystem.[70]
| ||||
| 2 | Oracle Database integration · US | 9.5 | 9.9 | |
Company snapshot · Oracle · Data as of November 11, 2026 Oracle positions its cloud and database portfolio around helping customers see data in new ways and gain insights.[71]
| ||||
| 3 | Snowflake Cloud data integration · US | 9.2 | 9.1 | |
Company snapshot · Snowflake · Data as of November 11, 2026
| ||||
| 4 | Salesforce Enterprise data integration · US | 8.9 | 9.1 | |
Company snapshot · Salesforce · Data as of November 11, 2026 Salesforce completed its acquisition of Informatica, adding data integration and governance capabilities.[14]
| ||||
| 5 | SAP Enterprise data integration · DE | 8.8 | 9.1 | |
Company snapshot · SAP · Data as of November 11, 2026
| ||||
| 6 | Confluent Streaming data integration and event infrastructure · US | 8.6 | 8.3 | |
Company snapshot · Confluent · Data as of November 11, 2026
| ||||
| 7 | Fivetran Automated data movement and replication · US | 8.5 | 8.3 | |
Company snapshot · Fivetran · Data as of November 11, 2026 Fivetran surpassed $300 million in annual recurring revenue and offered more than 600 pre-built connectors.[35]
| ||||
| 8 | Boomi iPaaS, API management and data integration · US | 8.5 | 8.3 | |
Company snapshot · Boomi · Data as of November 11, 2026 Boomi serves more than 30,000 customers and was named a 2025 leader in Gartner's iPaaS Magic Quadrant.[1]
| ||||
| 9 | Matillion Cloud ETL, ELT and data pipeline orchestration · GB | 8.2 | 7.6 | |
Company snapshot · Matillion · Data as of November 11, 2026 Matillion Data Productivity Cloud builds and runs pipelines on Snowflake, Databricks and Amazon Redshift.[72]
| ||||
| 10 | Airbyte Open-source connectors and data integration · US | 8.1 | 7.0 | |
Company snapshot · Airbyte · Data as of November 11, 2026 Airbyte provides an open-source data integration platform and reports customer deployments at integration scale.[73]
| ||||
How we score
- Impact (30%): scale and weight in the market (revenue, market share, employees, market position).
Popularity (brand search demand, 15%) counts toward Overall but is not published as a column. Overall leaves out what is not known.
Scale Scores are shown on a 7–10 scale with one decimal; bars start at 7.0.
Cadence Recalculated when new figures are published; next review December 11, 2026.
Independence. Rankings are editorially independent. Scores, ranks, picks and the verdict follow the method above; no company can pay to change them.
Cite this ranking
APA
Ryan Townsend. (2026, February 13). Top 10 companies in the data integration dataops industry. In Data Integration Dataops Industry Statistics. Gitnux. https://gitnux.org/data-integration-dataops-industry-statistics/#top-companies
03 Trends & forecasts
Top 10 Data Integration Dataops Industry Trends & Forecasts 2027
What is changing in the data integration dataops industry, with the evidence behind each trend and a forecast for 2027.
Forecasts were generated by an AI model from the cited evidence. They are estimates, not guarantees.
01AI-ready integration demand accelerates
High confidenceGartner reported that the data integration software market grew 9.8% to $5.9 billion in 2024, with growth driven by modern integration requirements and AI-ready data. Gartner also forecasts worldwide IT spending of $6.31 trillion in 2026, up 13.5% from 2025, with AI infrastructure a major growth segment.[66]
Forecast 2027: In 2027, AI-readiness will remain the primary demand driver for integration software, with buyers prioritizing clean, continuously refreshed and governed data pipelines over standalone connectivity. Spending growth should remain above the broader enterprise-software average.
02Real-time data integration expands
High confidenceIBM completed its $11 billion acquisition of Confluent on March 17, 2026, combining real-time streaming with IBM’s data and AI portfolio. Confluent said more than 6,500 enterprises, including 40% of the Fortune 500, rely on its platform.[65]
Forecast 2027: By 2027, streaming and change-data-capture capabilities will be standard requirements in enterprise integration shortlists, particularly for AI agents, fraud detection, customer operations and industrial monitoring. Batch-only platforms will increasingly be positioned as complementary rather than complete integration stacks.
03Cloud integration spending keeps rising
High confidenceGartner projects AI-optimized infrastructure-as-a-service spending to reach $42 billion in 2026, representing 96% growth through the year. Synergy Research Group data reported by ITPro showed cloud infrastructure services spending reached $143 billion in the second quarter of 2026 after 11 consecutive quarters of growth.[66][45]
Forecast 2027: In 2027, cloud-native integration, managed connectors and platform-as-a-service deployment will capture most incremental demand. Hybrid integration will still grow because enterprises will continue connecting cloud applications with on-premises systems and regulated workloads.
04Hybrid and multicloud architectures persist
High confidenceIBM’s Confluent acquisition announcement emphasizes data flows across on-premises and hybrid-cloud environments. The 2026 FinOps survey reported that 57% of respondents manage or plan to manage private-cloud costs and 48% manage or plan to manage data-center costs, showing that integration estates extend beyond public cloud.[65][74]
Forecast 2027: In 2027, vendors will emphasize control planes that span public cloud, private cloud, edge and mainframe environments. Interoperability, policy portability and unified observability will become stronger differentiators than simple connector counts.
05Consumption pricing receives tighter scrutiny
High confidenceFivetran’s pricing model measures monthly consumption through monthly active rows, activation rows and model runs, while offering fixed annual enterprise agreements in qualifying cases. The 2026 FinOps survey found that SaaS, licensing, private-cloud, data-center and AI costs are increasingly included in FinOps programs.[35][74]
Forecast 2027: In 2027, customers will demand spend caps, workload-level attribution, predictable enterprise contracts and clearer unit economics. Usage-based pricing will remain common, but vendors that cannot explain or control consumption volatility will face longer procurement cycles.
06FinOps expands into data operations
High confidenceThe 2026 State of FinOps survey covered 1,192 respondents representing more than $83 billion in annual cloud spend. It reported that AI and data platforms are creating new questions around tokens, inference costs and value attribution, extending FinOps beyond traditional infrastructure optimization.[74]
Forecast 2027: In 2027, data-pipeline cost, freshness, reliability and business value will be tracked together in FinOps and DataOps dashboards. Integration vendors will increasingly provide cost attribution by connector, dataset, pipeline and AI workload.
07Interoperability pressure strengthens
High confidenceThe EU Data Act requires providers of data-processing services to support switching to another provider, on-premises infrastructure or simultaneous use of multiple providers. The European Commission notes that, during the first three years after entry into force, providers may still charge switching-related costs and data-egress costs.[69][75]
Forecast 2027: By 2027, integration architectures sold into Europe will increasingly include export tooling, portability testing, open interfaces and migration assistance. As the transitional charging period approaches its January 12, 2027 endpoint, switching-cost transparency will become a more visible procurement criterion.
08Data quality becomes an AI control
High confidenceIBM describes clean, governed and continuously refreshed data as a critical requirement for production AI and automated workflows. OECD reported that AI adoption in 2025 was 20% among all firms and 52% among large firms, while combined use of AI, cloud computing and big-data analytics remained concentrated in large enterprises.[65][9]
Forecast 2027: In 2027, data-quality rules, lineage, freshness SLAs and anomaly detection will move closer to the point of integration. DataOps platforms will be evaluated partly by their ability to prevent unreliable data from reaching models and agents.
09Data observability spending broadens
Medium confidenceA 2026 industry report cited by TechRadar estimated that enterprises expect a 9.5-fold average increase in telemetry data from agentic AI workloads over the following two years. The same report said nearly one in five organizations already spends more than $5 million annually on observability.[76]
Forecast 2027: In 2027, observability will expand from infrastructure monitoring to pipeline health, schema changes, lineage, data freshness and agent telemetry. Integration platforms will increasingly bundle monitoring and automated remediation rather than treating observability as a separate add-on.
10Open and composable stacks gain ground
Medium confidenceGartner says the data integration tools market remains buoyant as organizations seek capabilities for operational, analytical and AI infrastructure use cases. The EU Data Act’s switching provisions also explicitly support use of multiple providers at the same time.[66][75]
Forecast 2027: In 2027, buyers will favor composable architectures that combine specialized ingestion, transformation, streaming, governance and observability tools. Open APIs, portable metadata and support for multiple engines will reduce dependence on single-vendor suites.
04 Statistics
Technology & Innovation
AI use in data integration is widespread, with 56% of organizations using AI for data integration in 2024. Automation demand also spans pipeline troubleshooting, cleanup, and analytics development.
AI in the data integration dataops industry
- 56% of organizations were using AI for data integration in 2024, while 34% were experimenting with it; global survey.[1]
- 29% of analytics engineering respondents had experimented with natural-language interaction with data in 2025; global survey.[2]
- 93% of enterprise IT leaders expected AI agents to increase developer productivity within three years in 2024; global survey.[3]
- 23% of analytics engineering respondents said their organizations did not use AI for natural-language data interaction but wanted to in 2025; global survey.[2]
- 59% of U.S. data integration professionals identified generative AI and machine-learning-driven integration as a priority for future investment in 2024.[4]
- 70% of analytics engineering respondents used AI for analytics development in 2025; global survey.[2]
Automation in the data integration dataops industry
- 41% of data professionals said building data pipelines would benefit from automation in the Nexla Data Operations survey; geography and year not stated on the source page.[4]
- 47% of data professionals said analysis would benefit from automation in the Nexla Data Operations survey; geography and year not stated on the source page.[4]
- 46% of data professionals said data integration would benefit from automation in the Nexla Data Operations survey; geography and year not stated on the source page.[4]
- 65% of DataOps survey respondents prioritized automating troubleshooting of pipeline issues in 2022.[5]
- 39% of enterprise IT team time was spent designing, building and testing custom system and data integrations in 2024; global survey.[3]
- 56% of data professionals said data cleanup would benefit from automation in the Nexla Data Operations survey; geography and year not stated on the source page.[4]
Digital Transformation in the software and IT services sector (sector benchmark)
- 54.8% of surveyed organizations reported having a chief digital officer or another executive responsible for digital transformation.[6]
- 75% of digital leaders globally planned to increase AI-related business expenditure in 2024.[7]
- 34% of surveyed organizations globally identified replacing or upgrading legacy technology as a top digital-transformation goal in 2024.[7]
- 45% of North American technology and business decision-makers planned to adopt AI and machine learning to improve business within 12 to 24 months.[7]
- 72% of digital leaders globally expected to increase technology spending in 2024, compared with 50% of digital laggards, according to a survey of 855 technology and business decision-makers.[7]
Technology Adoption in the software and IT services sector (sector benchmark)
- 57.7% of surveyed organizations reported having a chief information security officer or equivalent in 2024.[6]
- More than 50% of surveyed global IT decision-makers were exploring AI use cases or piloting AI technologies in 2024.[7]
- 67.6% of IT services were delivered through cloud infrastructure among surveyed organizations in 2024.[6]
- 51.8% of surveyed organizations reported that AI solutions were somewhat or extremely rare in 2024.[6]
Cloud Computing in the software and IT services sector (sector benchmark)
- 65.5% of EU enterprises using paid cloud services used them for security software applications in 2025.[8]
- 71.7% of EU enterprises using paid cloud services used them for office software in 2025.[8]
- 85.2% of EU enterprises using paid cloud services used them for email in 2025.[8]
- 71.5% of EU enterprises using paid cloud services used them for file storage in 2025.[8]
- 52.7% of EU enterprises with at least 10 employees used paid cloud-computing services in 2025.[8]
- 26.1% of EU enterprises using paid cloud services used computing platforms for application development, testing or deployment in 2025.[8]
Big Data in the software and IT services sector (sector benchmark)
- Big-data analytics adoption averaged 14% among OECD enterprises with at least 10 employees, compared with 49% for cloud computing in the latest comparable data.[9]
- 40% was the highest reported enterprise adoption rate for big-data analytics across OECD countries in the latest available data through 2023.[9]
- 14% of enterprises with at least 10 employees across the OECD used big-data analytics on average, based on 2022 data or the latest available year.[9]
05 Statistics
Data & Analytics
Operational work shows up in troubleshooting and time spent on pipelines: 18% of data engineers’ time in the latest Nexla Data Operations Report. Data quality issues with business impact were reported by 95% of enterprise data leaders in 2024.
Business intelligence in the data integration dataops industry
- 30.2% of BI-study respondents worked in information technology in 2024.[10]
- 14.0% of BI-study respondents worked in a business-intelligence or analytics competency function in 2024.[10]
- 40% was the current BI-solution penetration reported for technology organizations in the 2024 Dresner study.[10]
- 45% was the current BI-solution penetration reported for manufacturing organizations in the 2024 Dresner study.[10]
- 40% was the current BI-solution penetration reported for business-services organizations in the 2024 Dresner study.[10]
- 23.9% of respondents in the 2024 BI study were based in Europe, the Middle East and Africa.[10]
Data analytics in the data integration dataops industry
- 4,300 data sets were managed on average by companies surveyed in the latest Nexla Data Operations Report.[4]
- 2.7 terabytes of data were added daily at the average company surveyed in the latest Nexla Data Operations Report.[4]
- 85% of surveyed data professionals said their companies had teams working on machine learning or AI in the latest Nexla Data Operations Report.[4]
- 18% of data engineers’ time was spent troubleshooting in the latest Nexla Data Operations Report.[4]
- 4.4 partners supplied additional data on average to companies surveyed in the latest Nexla Data Operations Report.[4]
- 9.3 weeks per year was the implied troubleshooting time for data engineers in the latest Nexla Data Operations Report.[4]
Data Quality in the software and IT services sector (sector benchmark)
- In 2024, 95% of enterprise data leaders and practitioners reported a data-quality issue with a direct impact on business outcomes, across companies with at least $1 billion in revenue.[11]
- In 2025, 43% of organizations globally rated their data excellent for quality and completeness, across surveyed technology and business organizations.[12]
- In 2025, 46% of organizations globally said they were fully confident in their data quality, across surveyed technology and business organizations.[12]
- In 2025, 46% of organizations globally rated their data excellent for accuracy and integrity, across surveyed technology and business organizations.[12]
- In 2025, 35% of organizations globally rated their data excellent for consistency and standardization, across surveyed technology and business organizations.[12]
- In 2025, 34% of organizations globally rated their data excellent for relevance and suitability, across surveyed technology and business organizations.[12]
Data Governance in the software and IT services sector (sector benchmark)
- In 2024, 35% of U.S. technology executives prioritized data governance among their data-management areas for the next 12 months.[13]
- In 2024, 81.7% of organizations reported having no data-governance or catalog solution as part of their governance program, according to a global governance study.[14]
- In 2024, 18.3% of organizations reported having a data-governance or catalog solution as part of their governance program, according to a global governance study.[14]
- In 2024, 32% of global technology leaders prioritized data governance among their data-management areas for the next 12 months.[13]
- In 2024, 61% of supply-management organizations reported having a dedicated data-governance function, based on an Institute for Supply Management survey.[15]
- In 2026, 76% of global data leaders said their company’s AI governance did not completely keep pace with employee use of AI technology.[14]
KPIs in the data integration dataops industry
- 15.5% of 2024 BI-study respondents represented technology organizations.[10]
- 17.6% of 2024 BI-study respondents worked in executive management.[10]
- 45% of 2024 BI-study respondents worked in business services, manufacturing or technology combined, based on the study’s vertical-industry distribution.[10]
- 28.4% of 2024 BI-study respondents worked for organizations with 1,001 to 10,000 employees.[10]
- 16.4% of 2024 BI-study respondents represented manufacturing organizations.[10]
- 19.2% of 2024 BI-study respondents worked in finance.[10]
06 Statistics
Strategy & Growth
Forecasts put the global data integration market at $20.3 billion in 2026, with 12.7% CAGR from 2026–2033. DataOps platform growth is higher: 19.25% CAGR to 2035 from a 2025 base of $5.8 billion.
Growth in the data integration dataops industry
- $20.3 billion was the estimated global data integration-market size for 2026.[16]
- 12.28% was the projected 2026–2034 compound annual growth rate for the global data integration market.[17]
- 12.7% was the projected 2026–2033 compound annual growth rate for the global data integration market.[16]
- 15.36% was the projected compound annual growth rate for the small-enterprise data integration segment through 2031.[18]
- $54.26 billion was the projected global data integration-market size for 2034.[17]
- 13.6% was the projected 2025–2030 compound annual growth rate for the global data integration market.[19]
Differentiation in the data integration dataops industry
Mergers and acquisitions in the data integration dataops industry
- 1,200+ data-focused experts joined Capgemini’s capabilities through its 2024 acquisition of Syniti.[20]
- 1 data-management solutions company, ITI Data, was acquired by EXL in 2024.[21]
- 1 data-integration platform, Datavolo, was acquired by Snowflake under its November 2024 agreement.[22]
- 1 unified-data-integration company, Datagration Solutions, was acquired by Weatherford in 2024.[23]
- $8 billion was the approximate value of Salesforce’s announced acquisition of Informatica in 2025.[24]
- 1 managed-file-transfer company, Thru, was targeted by Boomi in its 2025 acquisition agreement.[1]
Strategic partnerships in the data integration dataops industry
07 Statistics
People & Workforce
Work models remain a variable in execution: 34.8% of global software and IT services respondents worked remotely in 2026. Informatica’s workforce scale is reflected by 5,200+ employees as of December 31, 2024.
Remote Work in the software and IT services sector (sector benchmark)
- 34.8% of global software and IT services respondents worked remotely in 2026, according to the Stack Overflow Developer Survey.[27]
- 6% of global respondents worked fully remotely in 2025, defined as spending less than one day per week in the office.[28]
- 10% of technology-services respondents worked under fully flexible arrangements in 2025, allowing employees substantial control over remote work.[28]
- 48% of U.S. software and IT professionals surveyed worked remotely in 2026, compared with 21% in France.[27]
- 84% of technology-services employers agreed in 2025 that the ability to work remotely is important for employee retention.[28]
Hybrid Work in the software and IT services sector (sector benchmark)
- 61% of U.S. employees with remote-capable jobs preferred hybrid work in November 2025, compared with 33% preferring fully remote work.[29]
- 56% of IT employees worked in hybrid arrangements in 2025, while 31% were fully remote and 13% attended the office daily.[30]
- 47% of global respondents worked in hybrid arrangements in 2025, down from 63% in Cisco’s 2022 study.[28]
- 55% of technology-services respondents worked in a hybrid arrangement in 2025, the highest share among industries measured by Cisco.[28]
- 52% of U.S. employees with remote-capable jobs worked in hybrid arrangements in May 2026, according to Gallup.[29]
Employee Engagement in the software and IT services sector (sector benchmark)
- 22.2% of global software and IT respondents were happy with their current professional role in 2026, while 32.6% were unhappy.[27]
- 74% of respondents approved of fully flexible hybrid policies in 2025, the highest positive sentiment among the policy types Cisco measured.[28]
- 54% of exclusively remote U.S. employees were thriving in May 2026, compared with 52% of hybrid employees and 49% of on-site employees with remote-capable jobs.[29]
- 37% of exclusively remote U.S. employees were engaged in May 2026, compared with 34% of hybrid employees and 29% of on-site employees with remote-capable jobs.[29]
- 92% of employees ranked collaboration and community as very important aspects of office culture in Cisco’s 2025 global study.[28]
DEI in the data integration dataops industry
- Approximately 2,450 Informatica employees were located in India as of December 31, 2024, within a global workforce spanning more than 3,300 employees outside the United States.[31]
- 1,750 Informatica full-time employees were dedicated to research and development as of December 31, 2024, across global development centers in five locations.[31]
- More than 5,200 full-time employees worked at Informatica as of December 31, 2024, with employee resource groups, education and community outreach supporting inclusion and belonging.[31]
Change Management in the software and IT services sector (sector benchmark)
- 59% of SAP change-management respondents expected AI to automate manual processes in change management, according to the 2025 survey.[32]
- 87% of SAP change-management respondents believed AI would influence change management during the five years following the 2025 survey.[32]
- 48% of SAP change-management respondents faced pressure in 2025 to implement changes more quickly.[32]
- 44% of SAP change-management respondents identified requirements gathering as a challenge in 2025.[32]
- 42% of SAP change-management respondents cited inability to scale change management to business needs as a challenge in 2025.[32]
08 Statistics
Customer & Sales
Customer usage spans throughput and outcomes: Informatica processed 110.7 trillion cloud transactions per month in 2024. Maintenance renewal rates stay high, including 90% for cloud subscriptions at December 31, 2024.
Customer experience in the data integration dataops industry
- 1.1 million industrial customers were unified by RS Group using Informatica across more than 30 countries in 2025.[14]
- 29 million customer records were matched and merged by Camping World using Informatica Customer 360 in the United States.[14]
- 5x higher product take-up was reported after a financial-services customer used Talend data integration for more customized offerings.[33]
- 1 million-plus daily customer-data events were processed by JetBlue’s Informatica MDM implementation in the United States in 2025.[14]
- 99% system uptime was achieved by JetBlue’s Informatica MDM environment in the United States in 2025.[14]
Customer retention in the data integration dataops industry
- 90% was Informatica’s subscription renewal rate at December 31, 2024, for its cloud data-management customer base globally.[14]
- 75% faster query times were reported by Ritual after implementing a Fivetran-based modern data stack in the United States.[34]
- 68% higher feature-development output was attributed to dbt in Ritual’s Fivetran modern-data-stack case study in the United States.[34]
- 95% fewer data-pipeline issues were reported by Ritual after adopting Fivetran in the United States.[34]
- 92% was Informatica’s maintenance renewal rate at December 31, 2024, for its global customer base.[14]
Customer acquisition in the data integration dataops industry
- 800+ of the Global 2000 were Informatica customers as of December 31, 2024.[25]
- 80+ of the Fortune 100 were Informatica customers as of December 31, 2024.[25]
- 5,000+ dbt Cloud customers were reported by dbt Labs in February 2025.[2]
- 5,100+ customers in approximately 100 countries and territories used Informatica as of December 31, 2024.[25]
- 5,000+ customers were served by Fivetran in 2023, when its revenue run rate exceeded $200 million.[35]
Customer loyalty in the data integration dataops industry
- 2,110 Informatica customers generated more than $100,000 in subscription ARR at December 31, 2024.[14]
- 284 Informatica customers generated more than $1 million in subscription ARR at December 31, 2024.[14]
- 90% of customers spending at least $100,000 in ARR increased their dbt Cloud investment year over year in 2025.[2]
- 92% was Informatica’s maintenance renewal rate in 2024, indicating continued customer retention across its maintenance base.[14]
Lead generation in the data integration dataops industry
- 3.7 million clean contact records were created from 9 million records in Informatica’s internal marketing and sales data environment.[14]
- 500,000 customer accounts were mastered from more than eight source systems in Informatica’s internal go-to-market data environment.[14]
- 50,000 Oracle accounts were integrated into Informatica’s master customer-account list for marketing and sales operations.[14]
- 150,000 Salesforce accounts were integrated into Informatica’s master customer-account list for marketing and sales operations.[14]
09 Statistics
Marketing & Brand
Brand signals track subscription scale and funding. Fivetran surpassed $300 million in annual recurring revenue in 2024, while dbt Labs surpassed $100 million in annual recurring revenue in February 2025.
Marketing in the data integration dataops industry
- $100 million in annual recurring revenue was surpassed by dbt Labs in February 2025.[2]
- $200 million in annual revenue run rate was surpassed by Fivetran in 2023, representing more than 50% year-over-year growth.[35]
- 17.5 million dollars in Series A funding was raised by DataOps.live in 2023.[36]
- 10.3 million dollars in seed funding was raised by DataOps.live in 2022.[36]
- $300 million in annual recurring revenue was surpassed by Fivetran in 2024 amid demand for automated data movement.[35]
Digital marketing in the data integration dataops industry
- 61% of RS Group revenue came through digital channels after Informatica-supported customer-data modernization across more than 30 countries.[14]
- 29 million records were matched into unique identities by Camping World to improve marketing precision using Informatica Customer 360 in the United States.[14]
Branding in the data integration dataops industry
- 100+ countries were served by Qlik through its data integration and analytics platform.[37]
- 800 additional Snowflake employees used DataOps.live for observability and analytics in 2025.[36]
- 50,000 customers worldwide were served by Qlik as of the company’s data-integration customer profile.[37]
- 1,200 Snowflake sales engineers and field CTOs used DataOps.live daily to create and deliver customer demonstrations in 2025.[36]
Influencer Marketing in the software and IT services sector (sector benchmark)
- Across technology companies, 64% of marketers reported dedicated and growing budgets for creator or influencer marketing in 2026, according to Nielsen’s global marketing survey.[38]
- Across B2B companies, another 29% of marketing organizations planned to adopt influencer marketing within the next year in 2025, based on an Ipsos survey of 1,500 marketing leaders.[39]
- Across B2B companies, 58% of marketing teams reported using an always-on influencer marketing approach in the 2025 B2B Influencer Marketing Report.[40]
- Across B2B companies, 55% of marketing organizations were using influencers in 2025, based on an Ipsos survey of 1,500 marketing leaders.[39]
- Across technology companies, 27% of marketers reported dedicated but flat budgets for creator or influencer marketing in 2026, according to Nielsen’s global marketing survey.[38]
10 Statistics
Operations & Execution
Broken pipelines still damage performance, with 66% reporting reduced operational efficiency from broken pipelines in 2021. In 2026, 32% of organizations cite data integration as a leading data-integrity challenge.
Process optimization in the data integration dataops industry
- 66% of surveyed organizations reported reduced operational efficiency from broken data pipelines in 2021 globally.[41]
- 430 new capabilities were introduced by Snowflake in fiscal 2026, reflecting product-development activity in the data platform industry.[42]
- 58% of organizations identified operational efficiency as a leading goal for their data programs in 2026 globally.[43]
- 47% of organizations identified integration complexity as a reason digital and AI initiatives struggle in 2025 globally.[44]
- 110.7 trillion cloud transactions per month were processed by Informatica in 2024, up from 86.0 trillion in 2023 globally.[14]
Operational efficiency in the data integration dataops industry
- 54% of surveyed data leaders reported increasing investment in data quality in 2025 globally.[45]
- 77% of organizations reported improved data quality as a benefit of investing in data governance in 2023 globally.[46]
- 125% was Snowflake's net revenue retention rate as of July 31, 2025, indicating expansion within its existing data-platform customer base.[42]
- 60% of organizations reported that poor data quality affected their ability to achieve value from digital initiatives in 2026 globally.[44]
- Approximately one-third of companies reported using multiple data-management automation tools within the same enterprise in 2025 globally.[47]
Quality management in the data integration dataops industry
- 32% of organizations identified data integration as a leading data-integrity challenge in 2026 globally.[43]
- 92% was Informatica's maintenance renewal rate in 2024, compared with 95% in 2023 for its data-management software customers.[14]
- 31% of organizations identified data governance as a leading data-integrity challenge in 2026 globally.[43]
- 77% of participants reported improved data quality as the top benefit of data-governance investment in 2023 globally.[46]
- 61% of surveyed employees were reported to trust most or all of the data used for AI in 2025 globally.[45]
Outsourcing / Offshoring in the software and IT services sector (sector benchmark)
- Across EU enterprises sourcing business functions internationally during 2021–2023, 28.7% moved information and communication technology services abroad.[8]
- Across German digital-experience service providers, 13.2% of services for customer projects were delivered nearshore in 2024.[48]
- Among German IT-service generalists, 10.2% of digital-experience services for customer projects were delivered offshore in 2024.[48]
- Across European organizations, 35% planned to increase their use of nearshore outsourcing in the 2024/2025 sourcing study.[49]
- Among German IT-service generalists, 19.5% of digital-experience services for customer projects were delivered nearshore in 2024.[48]
11 Statistics
Finance & Pricing
Consumption pricing is part of the operating model, such as Informatica’s cloud services use of processing units in 2024. Customer retention remains high across renewal metrics like 92% for Informatica maintenance renewal in 2024.
Pricing strategy in the data integration dataops industry
- Informatica's cloud services use consumption-based pricing measured through Informatica Processing Units in 2024 globally.[50]
- 112.8% was Workiva's net retention rate at December 31, 2025, including pricing changes for existing customers.[51]
- 580 Snowflake customers generated more than $1 million in product revenue in the fourth quarter of fiscal 2025.[42]
- 733 Snowflake customers generated more than $1 million in trailing twelve-month product revenue in fiscal 2026.[42]
- 284 Informatica customers generated more than $1 million in subscription ARR in 2024, up from 240 in 2023.[14]
Cost reduction in the data integration dataops industry
- 66% of surveyed organizations reported reduced operational efficiency because of broken data pipelines in 2021 globally.[41]
- 44% of organizations identified data issues as a reason digital initiatives struggle in 2025 globally.[44]
- 47% of organizations identified integration complexity as a reason digital initiatives struggle in 2025 globally.[44]
- 54% of organizations identified cost reduction as a leading goal for their data programs in 2026 globally.[43]
- 58% of organizations identified operational efficiency as a leading data-program goal in 2026 globally.[43]
Profitability in the data integration dataops industry
- $1.12 billion was Snowflake's free cash flow in fiscal 2026 globally.[52]
- 76% was Snowflake's non-GAAP product gross margin in the fourth quarter of fiscal 2025.[42]
- $1.28 billion was Snowflake's fourth-quarter revenue in fiscal 2026, representing 30% year-over-year growth.[42]
- $3.46 billion was Snowflake's product revenue in fiscal 2025 globally.[52]
- $4.47 billion was Snowflake's product revenue in fiscal 2026 globally.[52]
Financial planning in the data integration dataops industry
- $827.3 million was Informatica's cloud subscription ARR at December 31, 2024, compared with $616.8 million in 2023.[53]
- $9.0 billion was Snowflake's remaining performance obligation as of July 31, 2026.[42]
- More than 80 of the Fortune 100 were Informatica customers at December 31, 2024.[50]
- $6.9 billion was Snowflake's remaining performance obligation in the second quarter of fiscal 2026, up 33% year over year.[42]
- 2,468 was Informatica's total cloud subscription ARR customer count at December 31, 2024, compared with 2,288 in 2023.[14]
12 Statistics
Product & Service
Data integration assessment coverage is broad, with 49 DataOps providers assessed across five platform categories in 2024. Pipeline operations also connect to platform usage, including 24/7/365 support by Fivetran in 2022.
Product development in the data integration dataops industry
- 33% of applications were integrated or connected in the 2025 MuleSoft manufacturing and production survey.[54]
- 49 DataOps providers were assessed across five platform categories in 2024, covering data integration, observability, orchestration, pipelines and data products.[55]
- 93% of manufacturing and production respondents had implemented or planned to implement autonomous agents within two years in 2025.[54]
- 15.7% was the forecast CAGR for data-virtualization software within the data-integration market from 2025 to 2030.[19]
- 88% of manufacturing and production respondents reported challenges leveraging AI for system integrations in 2025.[54]
Product lifecycle in the data integration dataops industry
- 27% of applications were integrated or connected in the 2025 public-sector MuleSoft survey.[54]
- More than one-half of enterprises were expected to adopt agile and collaborative DataOps practices by 2026.[46]
- 92% of public-sector respondents had implemented or planned to implement autonomous agents within two years in 2025.[54]
- 86% of public-sector respondents said API management could be improved in 2025.[54]
- 97% of public-sector respondents reported that some projects were not delivered on time in the prior year in the 2025 survey.[54]
After-sales in the data integration dataops industry
- 3,150+ employees supported Qlik’s data integration and analytics business globally at the end of 2024.[56]
- 24/7/365 global support was provided by Fivetran through a distributed team of hundreds of software and customer-success engineers in 2022.[35]
- 40,000+ customers were served by Qlik across more than 100 countries at the end of 2024.[56]
- 100,000+ teams used dbt every week according to dbt Labs’ company profile in 2026.[2]
- 2,468 customers generated Informatica cloud-subscription annual recurring revenue at December 31, 2024.[57]
Value proposition in the data integration dataops industry
- $7.14 billion was the U.S. data-integration market revenue in 2024.[16]
- 13.6% was the forecast CAGR for the global data-integration market from 2025 to 2030.[19]
- $300 million in annual recurring revenue was surpassed by Fivetran in September 2024, up from $200 million in 2023.[35]
- $15.98 billion was the estimated global data-integration market size in 2024.[19]
- 22.6% was the forecast CAGR for data-integration revenue in manufacturing, healthcare and education through 2030.[58]
13 Statistics
Sustainability & Ethics
Sustainability reporting extends into emissions baselines, including Qlik Scope 3 emissions of 29,444.95 metric tons of CO2e in 2024. Informatica reporting also separates travel and energy-related emissions.
Sustainability in the data integration dataops industry
- 29,444.95 metric tons of CO₂e were Qlik’s Scope 3 emissions in 2024, covering eight applicable categories globally.[56]
- 415,699 square feet of leased office space were covered by Qlik’s 2024 electricity and emissions assessment.[56]
- 87.79 metric tons of CO₂e were Qlik’s estimated Scope 1 emissions in 2024.[56]
- 16,098.1 metric tons of market-based CO₂e, or 18% of Informatica’s reported total, came from business travel in 2024.[14]
- 1,503.55 metric tons of CO₂e were generated from Qlik’s Scope 2 emissions in 2024.[56]
ESG in the data integration dataops industry
- 90% of MongoDB hub offices had composting programs, according to the company’s sustainability metrics.[59]
- 100% of MongoDB office locations used LED lighting, according to the company’s sustainability metrics.[59]
- 74% of surveyed organizations lacked a comprehensive, organization-wide approach to responsible AI in Qlik’s 2024 study.[56]
- 60 was MongoDB’s EcoVadis ESG score, placing the company in the Silver rating category.[59]
- 3,150-plus employees worked at Qlik in 2024, according to the company’s corporate-responsibility disclosure.[37]
Carbon footprint in the data integration dataops industry
- 2,792.1 metric tons of market-based CO₂e came from Informatica’s fuel- and energy-related activities in 2024.[14]
- 60.2 metric tons of market-based CO₂e came from Informatica’s upstream leased assets in 2024.[14]
- 70.6 metric tons of market-based CO₂e came from Informatica’s downstream leased assets in 2024.[14]
- 1,208.9 metric tons of market-based CO₂e were Informatica’s direct emissions in 2024.[14]
- 5,089.8 metric tons of market-based CO₂e came from Informatica’s purchased electricity, steam, heat and cooling in 2024.[14]
14 Statistics
Risk, Compliance & Legal
Incident-response planning is treated as a governance baseline, with 72 hours as the customer-notification target after security incident awareness. Compliance programs also include ongoing training cycles such as Informatica’s annual compliance-and-privacy training.
Compliance in the data integration dataops industry
- 1 annual compliance-and-privacy training cycle is required for Informatica employees after onboarding, in addition to onboarding training.[60]
- 72 hours is Informatica’s stated customer-notification target after the company becomes aware of a security incident or breach.[60]
- 1 independently audited ISO 42001 certification has been achieved by Qlik for responsible AI development and use.[37]
- 12 standards and 82 reporting requirements are included in the CSRD framework described by Informatica for affected companies.[14]
Risk Management in the software and IT services sector (sector benchmark)
- Across U.S. organizations, 43% identify data privacy risk as a leading five-year risk challenge, according to a 2025 survey.[13]
- Across U.S. organizations, 57% identify cybersecurity as their biggest risk challenge over the next five years, according to a 2025 survey.[13]
- Across U.S. organizations, 52% have not integrated risk and resilience capabilities, accountabilities or organizational structures, according to a 2025 survey.[13]
- Across U.S. organizations, 41% identify technology risk as a leading five-year risk challenge, according to a 2025 survey.[13]
Cybersecurity in the software and IT services sector (sector benchmark)
- Across North American IT channel companies, 49% cite adoption of artificial-intelligence tools as a top industry-health driver in 2025.[61]
- Across North American IT channel companies, 49% cite cybersecurity services demand as a top driver of industry health in 2025.[61]
- Across North American IT channel companies, 47% cite continued cloud adoption as a top driver of industry health in 2025.[61]
- Across North American IT channel companies, 39% cite recurring managed-services revenue opportunities as a top industry-health driver in 2025.[61]
- Among organizations providing software, digital or connected managed services, 83% report formal incident-response policies with customer-breach notification plans and timelines.[62]
Data Privacy in the software and IT services sector (sector benchmark)
- Among data-protection professionals globally, 43% use specialist software to conduct privacy or data-protection impact assessments in 2025.[63]
- Among data-protection professionals globally, 25% use specialist software to conduct vendor risk assessments in 2025.[63]
- Among data-protection professionals globally, 31% use specialist software to provide privacy training in 2025.[63]
- Among data-protection professionals globally, 46% use specialist software to manage records of processing activities in 2025.[63]
- Among data-protection professionals globally, 59% use specialist software for at least one data-protection task in 2025.[63]
Crisis Management in the software and IT services sector (sector benchmark)
- Among business executives in the United States, United Kingdom, Australia and Japan, 41% say insufficient incident-management planning would worsen major IT outages.[64]
- Across business and IT executives in the United States, United Kingdom, Australia and Japan, 83% said the July 2024 global IT outage caught them off guard.[64]
- Across executives in the United States, United Kingdom, Australia and Japan, 88% expect a major IT incident comparable to the July 2024 outage during 2025.[64]
- Among IT executives in the United States, United Kingdom, Australia and Japan, 47% say insufficient incident-management planning would worsen major IT outages.[64]
- Across business and IT executives in the United States, United Kingdom, Australia and Japan, 43% say neglecting business-continuity planning would worsen major IT outages.[64]
Governance in the data integration dataops industry
15 Statistics
Globalization & Expansion
Geographic concentration remains material, with North America at 35.0% of global data integration revenue in 2025. Informatica’s fiscal-2026 revenue mix shows 66% from the Americas.
Globalization in the data integration dataops industry
- 35.0% was North America’s share of global data integration-market revenue in 2025.[16]
- 66% of Informatica’s fiscal-2026 revenue came from the Americas.[31]
- 38.35% was North America’s share of global data integration-market revenue in 2025.[18]
- 17.78% was the projected compound annual growth rate for Asia-Pacific’s data integration market through 2031.[18]
- 27.8% was the United States’ share of global data integration-market revenue in 2024.[16]
Supplier management in the data integration dataops industry
- 650+ global system-integrator partners worked with Informatica on its Intelligent Data Management Cloud in 2024.[25]
- 3,000+ certified Informatica professionals worked across the company’s platform partners at the end of 2024.[26]
- 81.5% of responding Informatica customers rated the company 5 out of 5 for customer satisfaction in the fourth quarter of 2024.[26]
- 15,000 partner certifications for Informatica’s platform were issued in 2024.[25]
Stakeholder management in the data integration dataops industry
- 34% was Informatica’s year-over-year growth in cloud-subscription annual recurring revenue in 2025.[25]
- 48% of Informatica’s total annual recurring revenue came from cloud subscriptions in 2025.[25]
- 5,000+ companies were Informatica customers as of March 31, 2025.[25]
- $827 million was Informatica’s cloud-subscription annual recurring revenue in 2025.[25]
Key questions about the Data Integration Dataops Industry
What is the market size for data integration in 2026?
How fast is the data integration market expected to grow?
Which companies lead the data integration dataops industry?
What technology shifts are shaping DataOps and integration in the near term?
How is the market structured between tools and services?
What does usage-based pricing look like in practice?
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Ryan Townsend. (2026, February 13). Data Integration Dataops Industry Statistics. Gitnux. https://gitnux.org/data-integration-dataops-industry-statistics
Ryan Townsend. "Data Integration Dataops Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/data-integration-dataops-industry-statistics.
Ryan Townsend. 2026. "Data Integration Dataops Industry Statistics." Gitnux. https://gitnux.org/data-integration-dataops-industry-statistics.
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