Ninety percent of the world's data was created in the last two years alone. This article details how that deluge strains storage, inflates costs, and complicates governance across the entire enterprise data landscape.
Key Takeaways
- 90% of all data in the world was created in the last two years
- The total amount of data created worldwide will reach 181 zettabytes by 2025
- Every person generated 1.7 MB of data per second in 2020
- 95% of businesses cite the need to manage unstructured data as a top problem
- Poor data quality costs the U.S. economy an estimated $3.1 trillion per year
- 60% of data scientists spend most of their time cleaning and organizing data
- Adoption of AI in data management has increased by 47% since 2021
- 60% of data for AI will be synthetic by 2024 to protect privacy
- Data Fabric deployments can reduce time to data delivery by 30%
- The global Enterprise Data Management market size was valued at USD 89.34 billion in 2022
- The market is expected to expand at a compound annual growth rate (CAGR) of 12.1% from 2023 to 2030
- The North American market accounted for a dominant revenue share of over 35% in 2022
- The average cost of a data breach in 2023 was $4.45 million
- Ransomware attacks occur every 11 seconds worldwide
- 82% of breaches involve a human element (phishing, errors)
Enterprises face explosive data growth and weak governance, making data quality, security, and management automation critical now.
Related reading
01 · Category
Data Consumption and Storage30 stats
01
90% of all data in the world was created in the last two years
02
The total amount of data created worldwide will reach 181 zettabytes by 2025
03
Every person generated 1.7 MB of data per second in 2020
04
50% of corporate data is stored in the cloud
05
Video streaming accounts for over 60% of all downstream internet traffic
06
IoT devices are expected to generate 79.4 zettabytes of data by 2025
07
Enterprise data storage grows at an average rate of 40% per year
08
52% of all data stored by organizations is "dark data" (unknown value)
09
Redundant, obsolete, or trivial (ROT) data accounts for 33% of storage
10
Cloud storage costs have dropped by an average of 10% annually
11
63% of enterprises use a data lake as part of their storage architecture
12
Average enterprise manages ten different data storage platforms
13
There will be 75 billion IoT devices by 2025, contributing to massive data ingestion
14
97.2% of organizations are investing in big data and AI
15
80% of enterprise data is stored in unstructured formats like emails and documents
16
Average cost of storing 1 TB of data per year is approximately $3,351on-premise
17
Amazon S3 stores over 200 trillion objects as of 2023
18
Hyper-converged infrastructure (HCI) market for data storage is growing at 24%
19
Flash storage adoption in data centers has reached 55%
20
Data egress fees from clouds account for 10% of total storage spend
21
40% of organizations have moved some data back from cloud to on-prem (cloud repatriation)
22
Cold storage (archiving) accounts for 60% of the total digital universe
23
Enterprises analyze only 1% of the data they collect
24
Data center electricity consumption represents 1% of global energy demand
25
70% of organizations plan to increase their edge computing data spend
26
Object storage capacity is growing at a 30% CAGR
27
45% of data backups are stored in a secondary cloud for disaster recovery
28
By 2024, 75% of large enterprises will use at least four storage technologies
29
Snowflake’s data sharing feature is used by 25% of its customer base
30
Data compression can reduce storage requirements by up to 50% for standard files
Interpretation
Data Consumption and Storage Interpretation
We have become digital pack rats, hoarding mountains of data we mostly ignore on an expensive, chaotic sprawl of platforms, all while the deluge of new information renders our control increasingly comical and costly.
02 · Category
Data Quality and Governance30 stats
01
95% of businesses cite the need to manage unstructured data as a top problem
02
Poor data quality costs the U.S. economy an estimated $3.1 trillion per year
03
60% of data scientists spend most of their time cleaning and organizing data
04
Data quality issues are responsible for an average loss of $12.9 million per year per organization
05
Only 3% of companies meet basic data quality standards
06
27% of data in the world’s top companies is flawed
07
Data governance initiatives can improve data analysis speed by 40%
08
70% of organizations lack a formal data governance strategy
09
54% of enterprises say data quality is their biggest barrier to AI success
10
Customer data decays at a rate of 2% per month or 25% per year
11
Inaccurate data leads to a 20% decrease in labor productivity
12
83% of organizations see data as an integral part of their business strategy
13
75% of executives don't trust their own data
14
Companies with high data quality have 70% more revenue than peers
15
91% of organizations report that data quality impacts their customer experience
16
Data lineage is a top priority for 65% of compliance officers
17
By 2025, 80% of data governance tasks will be automated
18
40% of data management professionals cite "silos" as the biggest obstacle to data quality
19
Duplicate data affects more than 25% of enterprise databases
20
Data profiling is used by 78% of EDM leaders to ensure accuracy
21
Metadata management reduces data analysis costs by 30%
22
Global compliance with GDPR has increased data management overhead by 15%
23
61% of companies have a Chief Data Officer (CDO) to lead governance
24
Data accuracy improved by 22% in firms using automated MDM
25
50% of data governance programs will fail without culturally-sensitive change management
26
88% of data leaders believe data quality is the biggest challenge to digital transformation
27
33% of firms struggle with tracking data provenance
28
Verification of email addresses improves data quality by 12% in CRM systems
29
Data stewardship programs increase data reliability by 35%
30
Automated data discovery tools have increased governance efficiency by 50%
Interpretation
Data Quality and Governance Interpretation
The enterprise data landscape is a tragicomic opera where companies, singing the praises of data as their most vital asset, are simultaneously drowning in a costly, untrusted swamp of their own making, yet the few who muster the discipline to govern it find themselves dramatically richer and more efficient.
03 · Category
Emerging Technologies and Trends30 stats
01
Adoption of AI in data management has increased by 47% since 2021
02
60% of data for AI will be synthetic by 2024 to protect privacy
03
Data Fabric deployments can reduce time to data delivery by 30%
04
70% of new data management applications will use a Data Mesh approach by 2026
05
The market for Graph Databases is growing at a CAGR of 22.5%
06
Generative AI could add $4.4 trillion to the global economy via data efficiency
07
50% of data engineering tasks will be augmented by AI by 2025
08
Adoption of "Self-Service" data tools has increased by 35% in two years
09
Multi-cloud data management is used by 76% of Fortune 500 companies
10
Quantum computing in data cryptography is expected to be a $2billon market by 2030
11
40% of organizations now use "Data Ops" to streamline pipelines
12
Edge computing data spending to reach $208 billion in 2023
13
Low-code/No-code data integration tools are growing at 25% CAGR
14
Blockchain for data integrity is used by 12% of supply chain EDM systems
15
30% of CDOs will use "Data Contracts" to manage API quality by 2025
16
25% of enterprises will implement "Active Metadata Management" by 2024
17
Real-time data streaming (Kafka/Flink) market is valued at $12 billion
18
Augmented analytics adoption has reached 38% among large enterprises
19
Vector databases for LLMs saw a 200% increase in VC funding in 2023
20
15% of data queries are now conducted via natural language interfaces (NLP)
21
FinOps for data cloud cost management is adopted by 42% of IT teams
22
Global spending on AI-centric systems reached $154 billion in 2023
23
20% of data governance is now managed by "Autonomous Agents"
24
Data virtualization market is growing at 17% CAGR to reach $5 billion
25
Serverless data processing usage grew by 60% in 2023
26
55% of companies are experimenting with "Customer Data Platforms" (CDPs)
27
Observability tools are now integrated into 35% of data pipelines
28
Data-as-a-Service (DaaS) market to grow by 10% annually
29
Digital Twin data management investment will hit $48 billion by 2026
30
90% of enterprises use a container-based approach (Kubernetes) for data apps
Interpretation
Emerging Technologies and Trends Interpretation
In a staggering sprint toward efficiency, data management is now a landscape where nearly half of all new tools are AI-infused, synthetic data is the new privacy shield, and an army of self-service users, guided by data meshes and real-time streams, is rapidly stitching together multi-cloud fabrics—all while keeping a nervous eye on the quantum and blockchain sentries guarding the vault, because the race to turn petabytes into trillions has officially left the starting line.
More related reading
04 · Category
Market Growth and Valuation30 stats
01
The global Enterprise Data Management market size was valued at USD 89.34 billion in 2022
02
The market is expected to expand at a compound annual growth rate (CAGR) of 12.1% from 2023 to 2030
03
The North American market accounted for a dominant revenue share of over 35% in 2022
04
The global Master Data Management (MDM) market is projected to reach USD 34.5 billion by 2027
05
Cloud-based EDM solutions are expected to grow at a CAGR of 15.5% through 2028
06
The European EDM market is expected to witness a CAGR of 11.2% due to strict GDPR compliance needs
07
Asia-Pacific is projected to be the fastest-growing region with a CAGR of 14.8% through 2030
08
The BFSI sector holds the largest market share of EDM revenue at approximately 22%
09
Small and Medium Enterprises (SMEs) are expected to grow at the highest CAGR of 13.5% in data management adoption
10
The software segment of EDM accounted for 60% of the total revenue in 2023
11
The global Data Governance market size is estimated to be USD 2.1 billion in 2020
12
The healthcare EDM segment is predicted to grow by USD 2.5 billion by 2026
13
Retail industry EDM spending is expected to increase by 10% annually
14
The global big data market is set to reach USD 273.4 billion by 2026
15
Data integration tools represent 18% of the total EDM market spend
16
The Metadata Management Tools market is growing at a CAGR of 18.2%
17
Data quality tools market is expected to hit USD 4.2 billion by 2027
18
45% of enterprises prefer hybrid cloud deployments for data management
19
Investment in AI-driven data management grew by 25% in 2023
20
The data warehousing market is expected to reach USD 51.18 billion by 2028
21
Professional services in EDM are valued at USD 15.6 billion globally
22
Data security management sub-sector is growing at 16% CAGR
23
The Middle East EDM market is expected to grow at 9.5% CAGR
24
Structured data management still accounts for 70% of enterprise database revenue
25
The unstructured data management market is growing 3x faster than structured data
26
80% of organizations will have deployed multiple data hubs by 2025
27
The data catalog market is projected to reach USD 1.8 billion by 2026
28
Large enterprises contribute 65% of the total revenue to the global EDM market
29
The public cloud segment of EDM is expected to surpass USD 50 billion by 2027
30
Managed services in EDM are growing at 14.1% annually
Interpretation
Market Growth and Valuation Interpretation
It seems the global scramble to impose order on corporate data chaos has become a gold rush measured in hundreds of billions, where everyone from banks to SMEs is betting the cloud and AI will finally help them find the nuggets in the noise.
05 · Category
Security and Compliance30 stats
01
The average cost of a data breach in 2023 was $4.45 million
02
Ransomware attacks occur every 11 seconds worldwide
03
82% of breaches involve a human element (phishing, errors)
04
44% of data breaths involve customer PII (personally identifiable information)
05
Companies take an average of 277 days to identify and contain a breach
06
Data privacy regulations now cover over 75% of the global population
07
GDPR fines totaled over $1.7 billion in 2022
08
60% of small businesses close within 6 months of a cyberattack
09
Cybercrime costs are expected to reach $10.5 trillion annually by 2025
10
94% of organizations used some form of encryption to protect data in 2023
11
Use of AI in security reduced breach costs by $1.76 million on average
12
Only 21% of companies have a "Zero Trust" data security architecture
13
34% of data breaches are caused by internal actors (employees/contractors)
14
Compliance spending for financial firms is 10% of their total revenue on average
15
71% of security professionals say data sovereignty is a top concern in the cloud
16
58% of organizations have over 1,000 sensitive files open to all employees
17
Multi-factor authentication (MFA) blocks 99.9% of account takeover attacks
18
Data masking is used by 45% of developers to protect test environments
19
CCPA requests cost companies an average of $1,400per individual request to fulfill
20
Cloud misconfigurations cause 15% of all data breaches
21
HIPAA violations can cost up to $50,000per compromised record
22
80% of data breaches involve compromised passwords
23
Organizations with incident response teams saved $2 million on breach costs
24
40% of organizations have data management policies but don't enforce them
25
Data loss prevention (DLP) market is grows at 22% annually
26
62% of companies say the "Right to be Forgotten" is the hardest GDPR rule to follow
27
1 in 3 companies has been penalized for data non-compliance
28
85% of consumers will not shop with a company they don't trust with data
29
Automation of data classification is a priority for 68% of CISOs
30
Cybersecurity training reduces data breach risk by 70%
Interpretation
Security and Compliance Interpretation
The data landscape is a costly and slow-motion hostage crisis, where human error is the preferred weapon, customer trust is the primary casualty, and the only hope is for companies to stop merely collecting security tools and start actually using them.
Reference
Cite This Report
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APA
Ryan Townsend. (2026, February 13). Enterprise Data Management Industry Statistics. Gitnux. https://gitnux.org/enterprise-data-management-industry-statistics
MLA
Ryan Townsend. "Enterprise Data Management Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/enterprise-data-management-industry-statistics.
Chicago
Ryan Townsend. 2026. "Enterprise Data Management Industry Statistics." Gitnux. https://gitnux.org/enterprise-data-management-industry-statistics.
Sources & references
70 datasets cited across this report · attribution is report-level
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