Gitnux/Report 2026

Data Quality Industry Statistics

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Data Quality Industry Statistics
Samuel NorbergWritten by Samuel Norberg·Fact-checked by Maya Johansson
Published
How this report is researched
01Editorial Scope

Before any source is gathered, an editor locks the question, what qualifies, and how the piece will be judged.

02Source Research

Search agents collect the source set and pull each data point out with its provenance attached.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 31 days

01 Industry overview

The data quality industry at a glance

The global data quality tools market was valued at $2.8 billion in 2025 and is entering a high-growth phase as AI adoption, cloud migration and regulatory requirements increase demand for reliable data.

$2.8B[17]
Market size, 2025
17.5%[17]
Forecast CAGR, 2026–2033
40.0%[17]
North America share, 2025
46.7%[50]
Top-three vendor share, 2024
Market size
The global data quality tools market was valued at $2.8 billion in 2025, according to Grand View Research. Gartner separately reported $2.2 billion for the broader data quality solutions sector in 2024, reflecting differences in market scope and methodology.[17][50]
Forecast & CAGR
Grand View Research forecasts the data quality tools market to reach $10.9 billion by 2033 from an estimated $3.5 billion in 2026, representing a 17.5% CAGR from 2026 to 2033. Mordor Intelligence projects a 17.7% CAGR from 2026 to 2031, with the market reaching $7.39 billion by 2031.[17][51]
Market share & regions
North America held the largest regional share in 2025, at 40.0% in Grand View Research’s estimate and 35.7% in Mordor Intelligence’s estimate. Asia-Pacific is identified as the fastest-growing region, with Mordor Intelligence forecasting a 21.7% CAGR from 2026 to 2031.[17][51]
Segmentation
Software represented more than 66% of 2025 revenue in Grand View Research’s segmentation, while cloud-based solutions accounted for 63.45% in Mordor Intelligence’s estimate. Large enterprises represented more than 64% of the market in Grand View Research’s analysis, and customer data was the leading data type.[17][51]
Key players & concentration
Gartner reported that SAP, Experian and Precisely together held 46.7% of the data quality solutions market in 2024. Mordor Intelligence characterizes the data quality tools market as having medium concentration and identifies Informatica, IBM, Oracle, SAP, Precisely, Experian and Ataccama among the major players.[50][51]
Trends, drivers & challenges
Growth is being driven by rising data volumes, cloud migration, AI deployment and regulatory scrutiny. Mordor Intelligence highlights automated anomaly detection, predictive cleansing and integration with data lakes and low-code workflows, while also identifying shortages of data-engineering talent as a constraint on effective tool use among SMEs.[17][51][52]
Consumer behavior & competition
Enterprise buyers are prioritizing cloud-ready platforms that connect to data lakes, SaaS sources and streaming systems. In 2025, cloud deployments represented 63.45% of market revenue, large enterprises 57.30%, customer-data applications 39.40%, and BFSI 22.70%, according to Mordor Intelligence.[51][52]
M&A
M&A activity is increasingly linking data quality with customer intelligence, identity, analytics and AI-enabled workflow products. Lincoln International’s Q1 2026 review cited Experian’s acquisition of AtData and Publicis Groupe’s acquisition of AdgeAI as notable transactions in the broader marketing and information services market.[53]
Regulation
The EU Data Act entered general application on September 12, 2025, and requires connected products and related services placed on the market after September 12, 2026 to make generated data accessible by default where applicable. The regulation also removes switching charges for data-processing services from January 12, 2027, increasing the importance of interoperable, well-managed data.[54]
Latest news
Recent industry coverage emphasizes the shift toward AI-ready data, with data quality increasingly combined with governance, metadata management, master data management and data observability. Gartner reported that augmented data quality solutions accounted for 16% of the broader data management solutions market in 2024.[55][50]

02 Ranking

Top 10 Companies in the Data Quality Industry

The leading companies in the data quality industry, ranked on market impact, performance, momentum, innovation and brand popularity.

Updated November 11, 2026 · Next review December 11, 2026

Verdict

Alphabet and Microsoft are tied at the top of Gitnux's 2026 data quality 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. #1 Overall · Leader in cloud data quality

    Alphabet

    US

    Ranked #1 · 9.5 · Cloud data quality

    Why we picked it: It supports cloud data quality and analytics, with 15% revenue growth and 32.03% operating margin.

    See in ranking ↓Visit abc.xyz ↗

  2. #2 overall

    Microsoft

    US

    Ranked #2 · 9.5 · Cloud data quality

    Why we picked it: It covers Azure data quality capabilities, backed by 15% revenue growth and 45.62% operating margin.

    See in ranking ↓Visit microsoft.com ↗

  3. Leader in enterprise data quality

    Oracle

    US

    Ranked #3 · 9.3 · Enterprise data quality

    Why we picked it: It targets database, cloud, and enterprise data quality, supported by 17% revenue growth and 15% R&D.

    See in ranking ↓Visit oracle.com ↗

Pick 1 is the #1 company overall. Pick 2 is the highest-ranked company in the top 5 that adds a new segment; no further segment places in the top 5, so pick 3 follows rank.

Full ranking

Sort by
Top 10 companies in the data quality industry, 2026 – Gitnux ranking
#CompanyOverall ↓Company snapshot
1

Alphabet

Cloud data quality · US

9.5
2

Microsoft

Cloud data quality · US

9.5
3

Oracle

Enterprise data quality · US

9.3
4

Salesforce

Enterprise data quality · US

9.0
5

Snowflake

Cloud data quality · US

8.9
6

SAP

Enterprise data quality · DE

8.9
7

Collibra

Data governance & catalog · US

8.5
8

Precisely

Data integrity & enrichment · US

8.4
9

Actian

Data integration & quality · US

8.3
10

IBM

Enterprise data quality · US

8.2

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

Samuel Norberg. (2026, November 11). Top 10 companies in the data quality industry. In Data Quality Industry Statistics. Gitnux. https://gitnux.org/data-quality-industry-statistics/#top-companies

report visual · Comparison

Distribution of surveyed enterprise data-quality professionals by company annual revenue bracket

USD 1 billion–5 billion holds the largest share at 44%.

USD 1 billion–5 billion44%
More than USD 20 billion29%
USD 5 billion–20 billion27%
source-verified21197654.fs1.hubspotusercontent-na1.net

04 Statistics

Technology & Innovation

We see strong friction around AI readiness: only 12% of organizations reported sufficient data quality and accessibility for effective AI implementation in 2024.

AI in the data quality industry

  • 87% of data professionals were concerned that data-quality issues could affect their AI implementation in 2021.[1]
  • 50% of respondents identified data quality as the number-one issue affecting their organization’s data-integration projects in 2024.[2]
  • 49% of respondents cited inadequate tools for automating data-quality processes as the biggest barrier to high-quality data for AI in 2024.[2]
  • 88% of organizations surveyed by Dun & Bradstreet were implementing AI in 2024.[3]
  • 60% of organizations said AI was a key influence on their data programs in 2024, according to a global data-leader survey.[2]
  • 12% of organizations reported that their data had sufficient quality and accessibility for effective AI implementation in 2024.[2]

Automation in the data quality industry

  • About one-third of manufacturers reported that key decision-making processes were mostly or completely manual in 2025.[4]
  • 37% of organizations made extensive use of automated data-quality checks in 2021.[2]
  • 43% of manufacturers adopted technology and automation during the 12 months covered by Dun & Bradstreet’s 2025 survey.[4]
  • 51% of organizations used limited automation in their data-quality processes in 2021.[2]
  • 88% of organizations had built some automation into their data-quality processes in 2021.[2]
  • AI classified and extracted invoice data in Equifax’s accounts-payable process in 2025, reducing manual processing work.[5]

Digital Transformation in the software and IT services sector (sector benchmark)

  • 45% of North American technology and business decision-makers planned to adopt AI and machine learning to improve business within 12 to 24 months.[6]
  • 34% of surveyed organizations globally identified replacing or upgrading legacy technology as a top digital-transformation goal in 2024.[6]
  • 75% of digital leaders globally planned to increase AI-related business expenditure in 2024.[6]
  • 54.8% of surveyed organizations reported having a chief digital officer or another executive responsible for digital transformation.[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.[6]

Technology Adoption in the software and IT services sector (sector benchmark)

  • More than 50% of surveyed global IT decision-makers were exploring AI use cases or piloting AI technologies in 2024.[6]
  • 67.6% of IT services were delivered through cloud infrastructure among surveyed organizations in 2024.[7]
  • 51.8% of surveyed organizations reported that AI solutions were somewhat or extremely rare in 2024.[7]
  • 57.7% of surveyed organizations reported having a chief information security officer or equivalent in 2024.[7]

Cloud Computing in the software and IT services sector (sector benchmark)

  • 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]
  • 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]
  • 65.5% of EU enterprises using paid cloud services used them for security software applications 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

Data leaders link analytics outcomes to quality and governance: 42% cited data quality as the main obstacle to generative-AI adoption in 2024.

Business intelligence in the data quality industry

  • 45% of data leaders planned investment in data privacy and protection to support analytics and AI priorities across surveyed regions in 2024.[10]
  • 73% of data leaders used or planned to use generative AI to accelerate time to value through faster data insights across surveyed regions in 2024.[10]
  • 39% of data leaders cited automation and augmentation as a reason to invest in generative AI across the United States, Europe and Asia-Pacific in 2024.[10]
  • 37% of data leaders planned investment in data integration and engineering across the United States, Europe and Asia-Pacific in 2024.[10]
  • $15.5 billion in annual revenue was reported for TELUS in a 2024 Collibra customer account describing its data-intelligence transformation.[11]
  • 43% of data leaders said improving data readiness for AI and analytics was their most common data-strategy effectiveness metric across surveyed regions in 2024.[10]

Data analytics in the data quality industry

  • 98% of data leaders said organizational obstacles held back their data strategies across the United States, Europe and Asia-Pacific in 2024.[10]
  • 44% of data leaders cited inadequate cooperation or alignment across business units as an obstacle to data strategy execution in 2024.[10]
  • 38% of data leaders identified increasing data volume and variety as a top technical obstacle to executing data strategies across surveyed regions in 2024.[10]
  • 42% of data leaders cited data quality as the main obstacle to generative-AI adoption, directly linking analytics readiness to data-quality capabilities in 2024.[10]
  • 39% of data leaders identified increasing numbers of data consumers as a top technical obstacle to realizing data strategies across surveyed regions in 2024.[10]
  • 45% of data leaders cited insufficient leadership support as an organizational obstacle to data strategy execution across surveyed regions in 2024.[10]

Data Quality in the software and IT services sector (sector benchmark)

  • In 2025, 43% of organizations globally rated their data excellent for quality and completeness, across surveyed technology and business organizations.[12]
  • 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.[13]
  • 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]
  • In 2025, 46% of organizations globally said they were fully confident in their data quality, across surveyed technology and business organizations.[12]

Data Governance in the software and IT services sector (sector benchmark)

  • 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.[10]
  • In 2024, 35% of U.S. technology executives prioritized data governance among their data-management areas for the next 12 months.[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.[10]
  • In 2024, 32% of global technology leaders prioritized data governance among their data-management areas for the next 12 months.[14]
  • 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.[10]

KPIs in the data quality industry

  • More than 50% of Collibra Data Intelligence Cloud customers used Usage Analytics for real-time adoption tracking by 2025.[11]
  • 15 years was Precisely’s reported average customer-partnership length, a retention KPI for its data-integrity business in 2026.[2]
  • 43% of data leaders used data readiness for AI and analytics as the most common metric for measuring data-strategy effectiveness across surveyed regions in 2024.[10]
  • 91% of Precisely Data360 customers renewed, making customer renewal a reported KPI for the data-quality vendor in 2026.[2]

06 Statistics

Strategy & Growth

Forecast figures point to acceleration: Grand View Research estimates $3.5 billion in 2026 for data quality tools, targeting $10.9 billion by 2033.

Growth in the data quality industry

  • The data quality market is projected to grow from $2.66 billion in 2025 to $3.01 billion in 2030.[16]
  • The global data quality tools market was valued at $2.8 billion in 2025.[17]
  • The data quality management market is forecast to grow at a 14.5% CAGR from 2026 to 2035.[18]
  • The global data quality management market is projected to grow from $3.85 billion in 2025 to $15.42 billion in 2035.[18]
  • The data quality tools market is forecast to grow at a 17.5% CAGR from 2026 to 2033.[17]
  • Informatica’s cloud-subscription annual recurring revenue grew 34% year over year in 2024.[10]

Differentiation in the data quality industry

  • Large enterprises represented 66.8% of data quality management revenue in 2025.[18]
  • Software represented more than 66% of data quality tools revenue in 2025.[17]
  • Customer data was the leading data type in the data quality tools market in 2025.[17]
  • Software represented 68.2% of data quality management revenue in 2025.[18]
  • Large enterprises represented more than 64% of data quality tools revenue in 2025.[17]

Mergers and acquisitions in the data quality industry

  • Salesforce agreed to acquire Informatica for approximately $9.6 billion in 2025.[19]
  • Informatica contributed approximately $399 million of revenue to Salesforce from acquisition through January 31, 2026.[19]
  • Salesforce completed its acquisition of Informatica on November 18, 2025.[19]
  • Informatica’s shares were converted into $25.00 in cash per share when the merger became effective in November 2025.[19]

07 Statistics

People & Workforce

Workforce constraints track adoption reality, and remote work remains a measurable factor: 6% of global respondents worked fully remotely in 2025.

Hiring in the data quality industry

  • Approximately 1,400 Informatica employees worked in sales and marketing at December 31, 2024.[20]
  • More than 3,300 Informatica employees were located outside the United States at December 31, 2024.[20]
  • Informatica’s customer-support and success organization comprised approximately 1,000 employees at December 31, 2024.[21]
  • Approximately 1,400 Informatica employees worked in operations and customer support at December 31, 2024.[20]
  • Informatica employed more than 5,200 full-time workers at December 31, 2024.[20]

Employee retention in the data quality industry

  • Informatica’s fourth-quarter 2024 customer-satisfaction survey had a 15.3% response rate.[21]
  • Informatica’s fourth-quarter 2024 customer-satisfaction score was 4.73 out of 5.[21]
  • Informatica reported a 90% subscription renewal rate in 2024.[21]
  • 81.5% of responding Informatica customers rated their support experience 5 out of 5 in the fourth quarter of 2024.[21]
  • Informatica reported a 92% maintenance renewal rate in 2024.[21]

Remote Work in the software and IT services sector (sector benchmark)

  • 6% of global respondents worked fully remotely in 2025, defined as spending less than one day per week in the office.[22]
  • 84% of technology-services employers agreed in 2025 that the ability to work remotely is important for employee retention.[22]
  • 34.8% of global software and IT services respondents worked remotely in 2026, according to the Stack Overflow Developer Survey.[23]
  • 10% of technology-services respondents worked under fully flexible arrangements in 2025, allowing employees substantial control over remote work.[22]
  • 48% of U.S. software and IT professionals surveyed worked remotely in 2026, compared with 21% in France.[23]

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.[24]
  • 56% of IT employees worked in hybrid arrangements in 2025, while 31% were fully remote and 13% attended the office daily.[25]
  • 47% of global respondents worked in hybrid arrangements in 2025, down from 63% in Cisco’s 2022 study.[22]
  • 52% of U.S. employees with remote-capable jobs worked in hybrid arrangements in May 2026, according to Gallup.[24]
  • 55% of technology-services respondents worked in a hybrid arrangement in 2025, the highest share among industries measured by Cisco.[22]

Upskilling in the data quality industry

  • Equifax validated its AI-focused workforce security training through more than 240,000 phishing simulations in 2025.[5]
  • Equifax used AI alongside employee input on skills and career aspirations to help workers visualize individualized career paths in 2025.[5]
  • NIQ’s employee resource groups had more than 3,400 members across more than 80 countries in 2024.[26]
  • More than 650 Informatica employees participated in the company’s generative-AI HackAIthon in 2024.[10]

Employee Engagement in the software and IT services sector (sector benchmark)

  • 74% of respondents approved of fully flexible hybrid policies in 2025, the highest positive sentiment among the policy types Cisco measured.[22]
  • 22.2% of global software and IT respondents were happy with their current professional role in 2026, while 32.6% were unhappy.[23]
  • 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.[24]
  • 92% of employees ranked collaboration and community as very important aspects of office culture in Cisco’s 2025 global study.[22]
  • 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.[24]

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.[27]

08 Statistics

Customer & Sales

Customer experience in the data quality industry

  • 22,000 databases and 5,000 applications were continuously scanned by T-Mobile in its Ataccama data-quality initiative, United States, 2024.[28]
  • $350 million in cost avoidance and consumer protection was reported by T-Mobile after its Ataccama data-scanning initiative, United States, 2024.[28]
  • $25 million in savings came from reducing data-preparation times for AI teams at T-Mobile, United States, 2024.[28]
  • 5.7 million customer records were consolidated in Ataccama’s master-data-management hub for Blue Cross Blue Shield, geography not stated, year not stated.[28]
  • 96% was the customer-data accuracy rate achieved by New England Bank after implementing Precisely’s single-customer-view solution, up from 45%–50%, United States, year not stated.[2]

Customer retention in the data quality industry

  • 15 years was Precisely’s reported average customer-partnership length, geography not stated, year not stated.[2]
  • 124% was Informatica’s global-parent-level cloud subscription net-retention rate at December 31, 2024, global.[29]
  • 90% was Informatica’s subscription renewal rate at December 31, 2024, global.[29]
  • 104% was Informatica’s end-user-level cloud subscription net-retention rate at December 31, 2024, global.[29]
  • 91% of Precisely Data360 customers renew, and the average customer partnership lasts 15 years, geography not stated, year not stated.[2]

Customer acquisition in the data quality industry

  • 110.7 trillion cloud transactions per month were processed by Informatica in 2024, global.[29]
  • 2,468 customers contributed cloud subscription annual recurring revenue to Informatica as of December 31, 2024, global.[29]
  • 284 Informatica customers generated more than $1 million in subscription annual recurring revenue as of December 31, 2024, global.[29]
  • 12,000 organizations in more than 100 countries use Precisely, including 95 of the Fortune 100, geography global, year not stated.[30]
  • 2,110 Informatica customers generated more than $100,000 in subscription annual recurring revenue as of December 31, 2024, global.[29]

Customer loyalty in the data quality industry

  • 22 companies received daily data-quality reporting after Tani implemented Informatica Data Quality, geography not stated, year not stated.[31]
  • 60 million customer records were unified and cleansed by Tani using Informatica Data Quality, geography not stated, year not stated.[31]
  • 2.5 hours was the former time required for L’Occitane to run customer-record deduplication, geography global, year not stated.[2]

Lead generation in the data quality industry

  • Approximately six additional leads were generated after a business approached about 10% of its data using RD Marketing’s data-quality methodology, United Kingdom, year not stated.[32]
  • 5,000 or more new leads were converted to contacts in RingLead’s DatacenterDynamics case study, geography not stated, year not stated.[33]
  • 95% was the average email-delivery rate reported in an RD Marketing customer case study using B2B data-quality services, United Kingdom, year not stated.[32]

09 Statistics

Marketing & Brand

Quality work is tied to operational effectiveness for customer data, including Tani’s unification and cleansing of 60 million customer records.

Marketing in the data quality industry

  • 60 million customer records were unified and cleansed by Tani, increasing database-marketing productivity and campaign effectiveness, geography not stated, year not stated.[31]
  • 2.5 hours was the former deduplication time that limited L’Occitane’s customer-data cleanup to weekly runs, geography global, year not stated.[2]
  • Millions of worldwide contacts were governed by a multinational media company using Precisely Data360 for targeted marketing campaigns, geography global, year not stated.[2]

Digital marketing in the data quality industry

  • 110.7 trillion cloud transactions per month were processed by Informatica’s cloud platform in 2024, supporting digital data-management and marketing operations globally.[29]
  • 5.7 million customer records were consolidated in an Ataccama MDM hub, enabling unified customer data for digital operations, geography not stated, year not stated.[28]
  • 96% was the customer-data accuracy rate achieved by New England Bank after deploying Precisely’s digital single-customer-view solution, United States, year not stated.[2]

Branding in the data quality industry

  • 95 of the Fortune 100 were among the organizations trusting Precisely, whose data-integrity platform supports enterprise brands globally, year not stated.[30]
  • 8 of the Fortune 10, more than 80 of the Fortune 100, and more than 800 of the Global 2000 used Informatica as of December 31, 2024, global.[21]

Influencer Marketing in the software and IT services sector (sector benchmark)

  • 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.[34]
  • 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.[35]
  • Across B2B companies, 58% of marketing teams reported using an always-on influencer marketing approach in the 2025 B2B Influencer Marketing Report.[36]
  • Across B2B companies, 43% of marketers reported outstanding results from their influencer programs in the 2025 B2B Influencer Marketing Report.[36]
  • Across B2B companies, 55% of marketing organizations were using influencers in 2025, based on an Ipsos survey of 1,500 marketing leaders.[34]

10 Statistics

Operations & Execution

Execution metrics emphasize automation at scale, including “50M+ supply-chain master-data records” analyzed with automated data-quality rules.

Process optimization in the data quality industry

  • 50M+ supply-chain master-data records were analyzed by Rulex for one organization using automated data-quality rules.[37]
  • 90% improvement in first-time-right performance was reported after a global CPG company cleansed and synchronized its master data in its supply-chain planning processes.[38]
  • 15,000+ tables were brought under automated data-governance management at Kaufland E-Commerce using Secoda.[39]
  • 350,000+ supply-chain master-data records were corrected for one organization after Rulex automated its validation process.[37]

Operational efficiency in the data quality industry

  • 43% of organizations planned increased GenAI investment in 2025 to improve operational efficiency, according to Informatica’s survey of data leaders in the United States, United Kingdom, European Union and Asia-Pacific.[10]
  • 73% of organizations identified improving operational efficiency as a goal of their data programs in a 2023 survey of more than 450 data and analytics professionals.[2]

Quality management in the data quality industry

  • 39% of data leaders said governance directly enhances the quality of AI outcomes in Precisely’s 2026 survey.[2]
  • 60% of organizations with a data-governance program reported improved data quality in a 2023 survey of more than 450 data and analytics professionals.[2]
  • 51% of data leaders ranked data quality as their top data-integrity priority in Precisely’s 2026 global survey.[2]

Supply chain in the data quality industry

  • More than €4 million in excess inventory costs were attributed to master-data problems in one mid-sized market for a global CPG company.[38]
  • £500 million+ in annual procurement was managed by Babcock’s division across more than 3,000 suppliers during its supplier-data-quality program.[31]
  • 90% of supplier product data by volume had been published in the GDSN by Independent Purchasing Cooperative for Subway suppliers.[40]
  • Approximately $1 million in material-handling and transport cost avoidance was estimated after Independent Purchasing Cooperative corrected data for 83 major products.[40]
  • 23% improvement in supplier-master-data quality was achieved by Babcock International Group’s Marine & Technology Division using Precisely Trillium Discovery.[31]

Outsourcing / Offshoring in the software and IT services sector (sector benchmark)

  • Across European organizations, 35% planned to increase their use of nearshore outsourcing in the 2024/2025 sourcing study.[41]
  • Across German digital-experience service providers, 7.6% of services for customer projects were delivered offshore in 2024.[42]
  • Among German IT-service generalists, 10.2% of digital-experience services for customer projects were delivered offshore in 2024.[42]
  • Across EU enterprises sourcing business functions internationally during 2021–2023, 28.7% moved information and communication technology services abroad.[8]
  • Among German IT-service generalists, 19.5% of digital-experience services for customer projects were delivered nearshore in 2024.[42]

11 Statistics

Finance & Pricing

Pricing and value framing coexist, with $2.8B market valuation context and benefits signals such as $784,000 in average annual benefits per 100 core users.

Pricing strategy in the data quality industry

  • $1,400 per month was the median subscription price for live data products in a 2021 study of commercial data marketplaces.[43]
  • 13 data-pricing models were classified across three strategy groups in a 2023 survey of modern data-pricing research.[43]
  • Three major data-pricing strategies—query pricing, feature-based pricing and machine-learning pricing—were identified in a 2023 survey of modern data-pricing models.[43]

Cost reduction in the data quality industry

  • $9.1 million in average annual business benefits were reported across eight worldwide organizations using Collibra Data Intelligence Cloud.[11]
  • 8.9 months was the average payback period reported by eight worldwide organizations using Collibra Data Intelligence Cloud.[11]
  • 62% of organizations listed reducing costs as a goal of their data programs in a 2023 survey of more than 450 data and analytics professionals.[2]
  • $784,000 in average annual benefits per 100 core users was reported for Collibra Data Intelligence Cloud in an IDC study of eight organizations.[11]

Profitability in the data quality industry

  • $1.64 billion was Informatica’s full-year 2024 total revenue, up 3% year over year.[10]
  • 32.8% was Informatica’s non-GAAP operating margin for full-year 2024.[10]
  • $827.3 million was Informatica’s cloud-subscription annual recurring revenue in the fourth quarter and full-year 2024, up 34% year over year.[10]

Financial planning in the data quality industry

  • 59% of organizations identified generating revenue as a goal of their data programs in a 2023 survey of more than 450 data and analytics professionals.[2]
  • $10 million in unbilled revenue was uncovered for a leading U.S. energy company through Collibra DQ’s smart-meter data analytics.[44]
  • 77% of organizations said data-driven decision-making was an important goal of their data programs in a 2023 survey of more than 450 data and analytics professionals.[2]

12 Statistics

Product & Service

Tool sprawl and source volume shape demand, with 41% of data leaders struggling to balance more than 1,000 data sources in 2024.

Product development in the data quality industry

  • 58% of data leaders expected to need five or more data-management tools to support their priorities across the United States, Europe and Asia-Pacific in 2024.[10]
  • 41% of data leaders struggled to balance more than 1,000 data sources across the United States, Europe and Asia-Pacific in 2024.[10]
  • 79% of data leaders expected the number of data sources they manage to increase during 2024 across the United States, Europe and Asia-Pacific.[10]
  • 39% of data leaders identified reliable, consistent data fit for generative AI as a top data-strategy priority across the United States, Europe and Asia-Pacific in 2024.[10]
  • 42% of data leaders cited data quality as the main obstacle to generative-AI adoption across the United States, Europe and Asia-Pacific in 2024.[10]

Product lifecycle in the data quality industry

  • 2019 was the year Collibra began structuring customer conversations around its Adoption report to guide its product-adoption roadmap.[11]
  • 300+ service partners supported Collibra’s data-intelligence platform business worldwide in 2026.[11]
  • More than 50% of Collibra Data Intelligence Cloud customers had used Usage Analytics for real-time product-adoption insights by 2025.[11]
  • 700+ customers worldwide and approximately 1,000 global employees were reported by Collibra on its company profile in 2026.[11]
  • 91% of Precisely Data360 customers renewed their subscriptions or contracts, according to Precisely’s customer-performance figures available in 2026.[2]

After-sales in the data quality industry

  • 12 million insurance policies across all 50 U.S. states were covered by a Precisely customer’s automated data-quality validation use case in 2026.[2]
  • 10,000+ members were in Collibra University’s customer community, supporting training and ongoing engagement in 2024.[11]
  • Over $10 million in projected liability reduction resulted from the Precisely Data360 use case at a large U.S. auto insurer in 2026.[2]
  • 2019 was the customer-start year for Wolters Kluwer’s CT Corporation deployment of Collibra, supporting a continuing data-intelligence transformation.[11]
  • 12,000+ customers in more than 100 countries used Precisely software, data solutions and services during fiscal year 2023.[2]

Value proposition in the data quality industry

  • 15 years was Precisely’s reported average customer-partnership duration, indicating long-term retention value in its data-integrity business in 2026.[2]
  • 91% of Precisely Data360 customers renewed, supporting the vendor’s value proposition around long-term data-quality adoption in 2026.[2]
  • 25% was the anticipated annual testing-volume growth that prompted Exact Sciences to seek automated, real-time patient-data quality controls in the United States in 2025.[45]
  • $100 million was the bottom-line improvement Exact Sciences attributed to Experian Health’s Patient Access Curator within two quarters in the United States in 2025.[45]

13 Statistics

Sustainability & Ethics

Sustainability reporting becomes part of the vendor picture; Informatica reported 53,852.2 tCO2e (62%) from purchased goods and services in 2024.

Sustainability in the data quality industry

  • 87% of Informatica candidates reported an outstanding candidate experience in 2024.[10]
  • Nearly 70% of Informatica people leaders had participated in a Signature Leadership Program by 2024.[10]
  • 3 of Informatica’s 4 data centers used renewable energy in 2024.[10]
  • 3 Informatica offices had LEED Operations and Maintenance certifications in 2024, including two Gold and one Platinum certification.[10]
  • 32 Informatica employees had converted to e-bike transportation by 2024.[10]

ESG in the data quality industry

  • 100% of Informatica procurement managers completed ESG and procurement decarbonization training in 2024.[10]
  • 9 consecutive years through 2024 marked Informatica’s participation in the EcoVadis sustainability assessment.[10]
  • 4 ESG-related data sources were specifically identified for Informatica’s sustainability solution, including supplier emissions, diversity metrics, ESG ratings and climate data.[10]
  • 54 was Informatica’s overall EcoVadis sustainability score in 2024, earning its Committed Badge.[10]

CSR in the data quality industry

  • 7 years was the planned duration of Informatica’s Next 25 STEM commitment in the United States.[10]
  • 2 annual Genius Camp events were held for Informatica’s Next 25 student cohort in the United States in 2024.[10]
  • 6 government schools in India received STEM laboratories through Informatica’s CSR program in 2024.[10]
  • 25 students formed the cohort supported by Informatica’s seven-year Next 25 STEM program in the United States in 2024.[10]
  • More than 2,000 students benefited from Informatica-supported STEM laboratories in India in 2024.[10]

Circular economy in the data quality industry

  • 11 Informatica offices provided recycling services in 2024.[10]
  • 20 of Informatica’s 27 offices supplied reusable or compostable flatware in 2024.[10]
  • 9 Informatica offices provided composting services in 2024.[10]

Carbon footprint in the data quality industry

  • 53,852.2 tCO₂e, or 62% of Informatica’s 2024 market-based emissions, came from purchased goods and services.[10]
  • 2,792.1 tCO₂e, or 3% of Informatica’s 2024 market-based emissions, came from fuel- and energy-related activities.[10]
  • 1,208.9 tCO₂e, or 1% of Informatica’s 2024 market-based emissions, came from direct emissions.[10]
  • 16,098.1 tCO₂e, or 18% of Informatica’s 2024 market-based emissions, came from business travel.[10]
  • 4,835.3 tCO₂e, or 6% of Informatica’s 2024 market-based emissions, came from employee commuting.[10]

15 Statistics

Globalization & Expansion

North America remains the largest contributor by share, with 40.0% of global data quality tools revenue in 2025.

Globalization in the data quality industry

  • 40.6% of global data quality management revenue came from North America in 2025.[18]
  • 40.0% of global data quality tools revenue came from North America in 2025.[17]
  • Informatica generated $1.64 billion in total revenue globally in 2024.[10]
  • Asia Pacific was the fastest-growing region in the data quality management market for 2026–2035.[18]
  • Asia Pacific was the fastest-growing regional data quality tools market from 2026 to 2033.[17]

Stakeholder management in the data quality industry

  • 50% of Salesforce Agentforce and Data 360 bookings came from existing-customer expansion in the third quarter of fiscal 2026.[19]
  • Informatica reported a 124% cloud-subscription net revenue retention rate in 2024.[10]

Distribution channels in the data quality industry

  • Informatica cloud-subscription annual recurring revenue reached $827.3 million in 2024.[10]
  • 61% of Informatica subscription revenue came from cloud subscriptions in 2024.[10]
  • Cloud-based deployment accounted for 64.6% of data quality management revenue in 2025.[18]

Key questions about the data quality industry

What is the market size for data quality tools in 2025?
The global data quality tools market was valued at $2.8 billion in 2025, according to Grand View Research.
How fast is the data quality tools market expected to grow starting in 2026?
Grand View Research forecasts the market to reach $10.9 billion by 2033 from an estimated $3.5 billion in 2026, representing a 17.5% CAGR from 2026 to 2033.
Which companies lead the data quality industry?
Alphabet and Microsoft are tied at the top of Gitnux's 2026 data quality ranking with an Overall score of 9.5 each.
What technology shifts are shaping data quality spending?
Mordor Intelligence highlights automated anomaly detection, predictive cleansing, and integration with data lakes plus low-code workflows. EU Data Act provisions also increase the importance of interoperable, well-managed data.
How concentrated is the market across major vendors?
Gartner reported that SAP, Experian and Precisely together held 46.7% of the data quality solutions market in 2024. Mordor Intelligence characterizes concentration as medium and lists Informatica, IBM, Oracle, SAP, Precisely, Experian and Ataccama among major players.
Which buyer use case remains the largest in this market?
Customer data was the leading data type in the data quality tools market in 2025, and enterprise buyers prioritize cloud-ready platforms that connect to data lakes, SaaS sources and streaming systems.
Reference

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.

APA
Samuel Norberg. (2026, November 11). Data Quality Industry Statistics. Gitnux. https://gitnux.org/data-quality-industry-statistics
MLA
Samuel Norberg. "Data Quality Industry Statistics." Gitnux, 11 Nov 2026, https://gitnux.org/data-quality-industry-statistics.
Chicago
Samuel Norberg. 2026. "Data Quality Industry Statistics." Gitnux. https://gitnux.org/data-quality-industry-statistics.

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