The global big data and business analytics market is projected to reach $549.5 billion by 2030. Nearly half of organizations report that data quality problems harm customer experience, and 33% cite inconsistent data definitions as a major barrier to analytics. While 63% have a data governance program, 73% say better data cataloging is still needed to find data fast.
Key Takeaways
- 82% of business leaders expect data governance to be critical to improving decision-making
- 48% of organizations say data quality issues cause significant problems in customer experience
- 33% of organizations cite inconsistent data definitions as a major barrier to analytics
- 48% of data breaches involve errors made by people rather than purely technical flaws
- 63% of organizations have a data governance program in place
- 57% of enterprises report that their data governance maturity is still developing
- 48% of organizations report they are implementing data minimization practices to support privacy requirements
- 27% of organizations say they have implemented data governance to manage AI use
- 39% of enterprises are using AI in production according to a Gartner survey published in 2024
- The global big data and business analytics market is projected to reach $549.5 billion by 2030
- $274.3 billion is the estimated global spend on public cloud in 2024
- The data catalog market is expected to grow to $5.9 billion by 2028
- 5.1% average annual reduction in data center power usage effectiveness (PUE) targets are typical in operator efficiency programs
- Latency for query responses below 100 milliseconds is a requirement cited by many streaming analytics implementations
- Organizations that implement data quality monitoring report fewer incidents and an average 15% improvement in time-to-insight
Data governance and quality, plus better cataloging and privacy controls, are essential as analytics and AI scale fast.
Related reading
01 · Category
Data Quality3 stats
01
82% of business leaders expect data governance to be critical to improving decision-making
02
48% of organizations say data quality issues cause significant problems in customer experience
03
33% of organizations cite inconsistent data definitions as a major barrier to analytics
Interpretation
Data Quality Interpretation
With data quality issues increasingly linked to outcomes, 48% of organizations report customer experience problems driven by poor data quality and 33% point to inconsistent definitions as a key analytics barrier, making data governance and data consistency central to improving decisions.
02 · Category
Data Governance5 stats
01
48% of data breaches involve errors made by people rather than purely technical flaws
02
63% of organizations have a data governance program in place
03
57% of enterprises report that their data governance maturity is still developing
04
73% of organizations say they need better data cataloging to improve access to data
05
38% of respondents say they have no master data management (MDM) program
Interpretation
Data Governance Interpretation
Even though 63% of organizations report having a data governance program, 57% say their maturity is still developing and 73% say they need better data cataloging, showing that governance efforts are often not yet strong enough to improve real access to data.
03 · Category
Industry Trends5 stats
01
48% of organizations report they are implementing data minimization practices to support privacy requirements
02
27% of organizations say they have implemented data governance to manage AI use
03
39% of enterprises are using AI in production according to a Gartner survey published in 2024
04
60% of enterprises expect to use generative AI for customer service by 2025
05
50% of companies use streaming data platforms or plan to implement within 12 months
Interpretation
Industry Trends Interpretation
Industry Trends show that as organizations move toward AI and data-driven operations, they are also tightening data practices, with 48% implementing data minimization for privacy and 50% already using or planning streaming data platforms within 12 months.
More related reading
04 · Category
Market Size10 stats
01
The global big data and business analytics market is projected to reach $549.5 billion by 2030
02
$274.3 billion is the estimated global spend on public cloud in 2024
03
The data catalog market is expected to grow to $5.9 billion by 2028
04
The global data integration software market is projected to reach $9.0 billion by 2028
05
The global data management platform market is forecast to reach $19.6 billion by 2028
06
The global ETL software market is projected to reach $6.3 billion by 2027
07
The worldwide database management systems market is expected to reach $121.9 billion in 2024
08
Worldwide spending on public cloud services is forecast to total $679 billion in 2024
09
The global data center market is projected to reach $237.0 billion by 2029
10
The market for data loss prevention (DLP) software and services is forecast to reach $6.3 billion by 2028
Interpretation
Market Size Interpretation
For the Market Size angle, big data and business analytics are set to climb to $549.5 billion by 2030 alongside $274.3 billion in 2024 public cloud spend, signaling strong and expanding demand across the full data infrastructure stack from catalogs to ETL and data management platforms.
05 · Category
Performance Metrics4 stats
01
5.1% average annual reduction in data center power usage effectiveness (PUE) targets are typical in operator efficiency programs
02
Latency for query responses below 100 milliseconds is a requirement cited by many streaming analytics implementations
03
Organizations that implement data quality monitoring report fewer incidents and an average 15% improvement in time-to-insight
04
Data catalogs can reduce time to find data by 40% according to vendor study results
Interpretation
Performance Metrics Interpretation
For Performance Metrics, organizations are targeting measurable gains across infrastructure and operations, such as a typical 5.1% annual reduction in PUE and a 40% drop in time to find data, while improved data quality monitoring can deliver about a 15% faster time to insight.
report visual · Key figures
Data Governance & Data Quality: Key Signals
Organizations report both gaps and progress across data governance, quality, and cataloging—highlighting where improvement is most needed.
63%
63% of organizations have a data governance program in place
57%
57% of enterprises report that their data governance maturity is still developing
48%
48% of organizations say data quality issues cause significant problems in customer experience
73%
73% of organizations say they need better data cataloging to improve access to data
38%
38% of respondents say they have no master data management (MDM) program
source-verifiedinformatica.com · gartner.com · experian.com
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, February 13). Data Statistics. Gitnux. https://gitnux.org/data-statistics
MLA
Samuel Norberg. "Data Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/data-statistics.
Chicago
Samuel Norberg. 2026. "Data Statistics." Gitnux. https://gitnux.org/data-statistics.
Sources & references
27 datasets cited across this report · attribution is report-level
+13 additional datasets cited (not shown individually)