Gitnux/Report 2026

Data Warehouse Industry Statistics

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

An editor sets the topic, the inclusion criteria, and the evaluation framework before research starts.

02Source Research

AI search agents locate sources and extract each figure together with the document it came from.

Read our full methodology →

Search agents attach provenance to every extracted figure.

Next review: within 31 days

01 Industry overview

The data warehouse industry at a glance

The global data warehousing market reached $37.42 billion in 2025 and is being reshaped by cloud-native platforms, AI workloads, and demand for governed, interoperable data.

$37.42B[47]
Global market size, 2025
16.2%[47]
Forecast CAGR, 2025–2030
37.6%[48]
North America share, 2025
$4.47B[18]
Snowflake product revenue, FY2026
Market size
The global data warehousing market was valued at $37.42 billion in 2025. A narrower data-warehouse-as-a-service definition produced a 2025 estimate of $11.6 billion, illustrating how market totals vary by scope.[47][48]
Forecast & CAGR
The broad data warehousing market is forecast to reach $79.15 billion by 2030, implying a 16.2% CAGR from 2025 to 2030. Grand View Research forecasts the data-warehouse-as-a-service segment to reach $58.1 billion by 2033 at a 22.4% CAGR from 2026 to 2033.[47][48]
Market share & regions
North America accounted for 37.6% of global data-warehouse-as-a-service revenue in 2025 and was the largest regional market. Asia-Pacific was identified as the fastest-growing region over the 2026–2033 forecast period.[48]
Segmentation
The market is segmented by deployment into on-premises, cloud, and hybrid environments; by data type into structured, semi-structured, and unstructured data; and by organization size into large enterprises and SMEs. In the data-warehouse-as-a-service segment, public cloud held more than 60% of revenue in 2025, while data mining accounted for more than 54%.[47][48]
Key players & concentration
The competitive set includes Snowflake, Databricks, Amazon Redshift, Google BigQuery, Microsoft Azure Synapse, Oracle, Teradata, and SAP. The UK Competition and Markets Authority reported that Snowflake held a 5%–10% share of UK relational-database supply in 2025, while AWS and Microsoft each held up to 40% of UK customer cloud spend across the broader cloud-services market.
Pricing
Pricing is generally consumption-based or capacity-based rather than seat-based. Google BigQuery lists on-demand query pricing at $6.25 per tebibyte processed after the first 1 TiB per month, with storage priced separately; it also offers slot-based capacity pricing.[12]
Trends, drivers & challenges
AI and rising data volumes are major growth drivers: The Business Research Company identifies AI as a catalyst for data-warehouse demand, while IDC-related analysis cited by TechRadar projects global data creation to reach 718 zettabytes by 2030. Key challenges include cloud lock-in, data-transfer costs, governance, and the complexity of supporting structured, semi-structured, and unstructured data in one architecture.[47][49]
Consumer behavior & competition
Enterprise buyers increasingly compare pure-play platforms with hyperscaler services and favor products that combine analytics, governance, data sharing, and AI capabilities. In ETR’s 2025 survey of 321 IT decision-makers, planned spending was reported for Azure Synapse at 57%, Google BigQuery at 56%, and Amazon Redshift at 56%, while Snowflake and Databricks were described as leading pure-play platforms.
M&A
M&A is extending data-warehouse platforms into ingestion, observability, PostgreSQL, and AI-agent tooling. Snowflake’s fiscal 2026 annual report lists acquisitions including Datavolo, Crunchy Data Solutions, TensorStax, and Observe, while SAP announced acquisitions of Dremio and Prior Labs in 2026 with terms undisclosed.[19][50]
Regulation
The EU Data Act has applied since September 12, 2025 and requires measures that facilitate switching between data-processing providers, including data portability and limits on switching barriers. From January 12, 2027, EU providers may no longer impose switching charges, increasing pressure on warehouse and cloud vendors to improve interoperability.[51]
Latest news
Recent industry coverage emphasizes the shift from traditional reporting warehouses toward AI-ready, machine-readable data foundations. In November 2026, TechRadar reported that AI agents are increasing demand for consistent data interfaces, governed metadata, and reliable access to enterprise warehouse data.[49]

02 Ranking

Top 10 Companies in the Data Warehouse Industry

The leading companies in the data warehouse 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 warehouse ranking with an Overall score of 9.6 each.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in cloud analytics warehouses

    Alphabet

    US

    Ranked #1 · 9.6 · Cloud analytics warehouses

    Why we picked it: Its managed analytics warehouse is priced per processed query volume, with on-demand query pricing of $6.25 per tebibyte after 1 TiB.

    See in ranking ↓Visit abc.xyz ↗

  2. #2 overall

    Microsoft

    US

    Ranked #2 · 9.6 · Cloud analytics warehouses

    Why we picked it: Its enterprise data warehouse capability sits within Fabric, with planned spend signals reported for Azure Synapse at 57%.

    See in ranking ↓Visit microsoft.com ↗

  3. #3 overall

    Oracle

    US

    Ranked #3 · 9.5 · Cloud analytics warehouses

    Why we picked it: Its autonomous warehouse capability is packaged within Oracle’s database and cloud infrastructure, supported by 17% revenue growth.

    See in ranking ↓Visit oracle.com ↗

Pick 1 is the #1 company overall. No other segment places in the top 5, so picks 2 and 3 follow rank.

Full ranking

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

Alphabet

Cloud analytics warehouses · US

9.6
2

Microsoft

Cloud analytics warehouses · US

9.6
3

Oracle

Cloud analytics warehouses · US

9.5
4

Snowflake

Cloud analytics warehouses · US

9.3
5

SAP

Cloud analytics warehouses · DE

9.3
6

IBM

watsonx.data and hybrid data platforms · US

8.8
7

ClickHouse

Real-time analytical database and cloud warehouse · US

8.4
8

Yellowbrick

Distributed-cloud data warehouse · US

8.1
9

Starburst

Data lakehouse and distributed SQL analytics · US

7.8
10

Teradata

VantageCloud enterprise data warehouse · US

7.5

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 warehouse industry. In Data Warehouse Industry Statistics. Gitnux. https://gitnux.org/data-warehouse-industry-statistics/#top-companies

report visual · Projection

Number of responding UK higher-education institutions using an Oracle data warehouse system

Number of responding UK higher-education institutions using an Oracle data warehouse system fell from 20 in 2018 to 9 in 2023.

20 count
Start
-14.76%
CAGR · 5y
9 count
Projected
20182023
source-verifiedwww2.ucisa.ac.uk2023

04 Statistics

Technology & Innovation

Support for major warehouses shows up in survey “data source” figures, including 87% supporting Snowflake, 71% supporting BigQuery, and 86% supporting Amazon Redshift.

AI in the data warehouse industry

  • 86% of the 2025 AI, data science and machine-learning survey sample currently supports Amazon Redshift as a data source.[1]
  • 44% of surveyed data professionals use cloud data warehouses as their primary storage or processing environment.[2]
  • 71% of the 2025 AI, data science and machine-learning survey sample currently supports Google BigQuery as a data source.[1]
  • 82% of data professionals use AI tools daily or more frequently, according to a 2026 survey covering data practitioners across six continents.[2]
  • 57% of analytics-engineering respondents report increased warehouse and compute spending as AI scales analytics output.[3]
  • 87% of the 2025 AI, data science and machine-learning survey sample currently supports Snowflake as a data source.[1]

Automation in the data warehouse industry

  • 41% of surveyed employers foresee workforce reductions caused by skills obsolescence as automation and other technologies change jobs.[4]
  • 72% of analytics practitioners prioritize AI-assisted coding in their data workflows, according to a 2026 dbt Labs survey cited in industry reporting.[3]
  • 3,600 monthly active users were served by Tencent’s automated data-warehouse delivery system during its production evaluation.[5]
  • 73% of employers surveyed globally plan to accelerate process and task automation, including work affecting data and technology teams.[4]
  • 24% of analytics practitioners prioritize AI assistance for testing and observability, compared with 72% prioritizing AI-assisted coding.[3]
  • 87.2% was the end-to-end success rate achieved by an autonomous data-warehouse delivery system deployed across six Tencent Cloud WeData teams.[5]

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

  • 34% of surveyed organizations globally identified replacing or upgrading legacy technology as a top digital-transformation goal in 2024.[6]
  • 54.8% of surveyed organizations reported having a chief digital officer or another executive responsible for digital transformation.[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.[6]
  • 75% of digital leaders globally planned to increase AI-related business expenditure in 2024.[6]
  • 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)

  • 57.7% of surveyed organizations reported having a chief information security officer or equivalent in 2024.[7]
  • 51.8% of surveyed organizations reported that AI solutions were somewhat or extremely rare in 2024.[7]
  • 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]

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]
  • 52.7% of EU enterprises with at least 10 employees used paid cloud-computing services in 2025.[8]
  • 71.5% of EU enterprises using paid cloud services used them for file storage in 2025.[8]
  • 85.2% of EU enterprises using paid cloud services used them for email in 2025.[8]
  • 26.1% of EU enterprises using paid cloud services used computing platforms for application development, testing or deployment in 2025.[8]
  • 71.7% of EU enterprises using paid cloud services used them for office software 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]
  • 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]
  • 40% was the highest reported enterprise adoption rate for big-data analytics across OECD countries in the latest available data through 2023.[9]

05 Statistics

Data & Analytics

Adoption and integration patterns show scale effects, such as BigQuery use by “tens of thousands” of organizations by April 2025 and Databricks Data Warehousing reaching a $1 billion run-rate.

Business intelligence in the data warehouse industry

  • 2,000-plus Forbes Global 2000 customers were served by Snowflake in its historical global customer base, according to the company’s 2025 disclosures.[10]
  • 1,200-plus global cloud, software and consulting partners supported Databricks customers with data, analytics and AI services.[11]
  • 80% faster time to retail-analytics results was reported by Trek after shifting from a legacy warehouse to Databricks.[11]
  • Tens of thousands of organizations used BigQuery and its integrated AI capabilities by April 2025.[12]
  • 65% was Trek’s reported reduction in data-refresh time after adopting Databricks for retail analytics.[11]
  • 60% faster product response times were achieved by Dun & Bradstreet after modernizing data workflows with BigQuery.[12]

Data analytics in the data warehouse industry

  • $1 billion was the Databricks Data Warehousing revenue run-rate in December 2025, achieved within four years of general availability.[11]
  • 20,000 organizations worldwide used Databricks to build and scale data, analytics and AI applications by February 2026.[11]
  • Thousands of customers used Databricks Lakebase within six months of its launch, according to the company’s December 2025 announcement.[11]
  • 5x more organizations used BigQuery than the two leading cloud companies offering only data-warehouse and data-science platforms in 2025.[12]
  • 800-plus Databricks customers generated more than $1 million in annual revenue run-rate by February 2026.[11]
  • 150 Dun & Bradstreet products were migrated to BigQuery to modernize data pipelines and analytics workflows.[12]

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.[13]
  • In 2025, 35% of organizations globally rated their data excellent for consistency and standardization, across surveyed technology and business organizations.[14]
  • In 2025, 34% of organizations globally rated their data excellent for relevance and suitability, across surveyed technology and business organizations.[14]
  • In 2025, 43% of organizations globally rated their data excellent for quality and completeness, across surveyed technology and business organizations.[14]
  • In 2025, 46% of organizations globally said they were fully confident in their data quality, across surveyed technology and business organizations.[14]
  • In 2025, 46% of organizations globally rated their data excellent for accuracy and integrity, across surveyed technology and business organizations.[14]

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

  • 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.[16]
  • In 2024, 35% of U.S. technology executives prioritized data governance among their data-management areas for the next 12 months.[17]
  • 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.[16]
  • 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.[16]
  • In 2024, 32% of global technology leaders prioritized data governance among their data-management areas for the next 12 months.[17]

KPIs in the data warehouse industry

  • 740 net new customers were added by Snowflake in the fourth quarter of fiscal 2026, up 40% year over year.[18]
  • 140% or higher was Databricks’ net retention rate in September 2025.[11]
  • 700-plus Databricks customers exceeded a $1 million annual revenue run-rate in December 2025.[11]
  • 733 Snowflake customers exceeded $1 million in trailing-12-month product revenue as of January 31, 2026, up 27% year over year.[18]
  • 650-plus Databricks customers exceeded a $1 million annual revenue run-rate in September 2025.[11]
  • 27% was Snowflake’s year-over-year growth in customers generating more than $1 million in trailing-12-month product revenue in fiscal 2026.[18]

06 Statistics

Strategy & Growth

Consumption-linked growth features prominently, including Snowflake’s $4.47B fiscal 2026 product revenue and 71% of cost of product revenue driven by third-party cloud infrastructure expenses.

Growth in the data warehouse industry

  • $1.49 billion was Snowflake’s second-quarter fiscal 2027 product revenue, up 37% year over year.[19]
  • $9.21 billion was Snowflake’s remaining performance obligation at April 30, 2026, up 38% year over year.[19]
  • $4.68 billion was Snowflake’s total fiscal 2026 revenue, up from $3.63 billion in fiscal 2025.[19]
  • 828 Snowflake customers generated more than $1 million in trailing-12-month product revenue at July 31, 2026, up 27% year over year.[19]
  • $4.47 billion was Snowflake’s fiscal 2026 product revenue, up 29% year over year.[19]
  • 616 net new customers were added by Snowflake in the first quarter of fiscal 2027, up 38% year over year.[19]

Differentiation in the data warehouse industry

  • 71% of Snowflake’s fiscal 2026 cost of product revenue consisted of third-party cloud infrastructure expenses.[19]
  • 125% was Snowflake’s net revenue retention rate at January 31, 2026, demonstrating expansion through increased customer consumption.[19]
  • 95% of Snowflake’s fiscal 2026 revenue came from product revenue rather than professional services and other revenue.[19]

Mergers and acquisitions in the data warehouse industry

  • 1 acquisition was completed by Databricks in June 2024 when it acquired Tabular, bringing together the creators of Apache Iceberg and Delta Lake.[11]
  • 1 acquisition was announced by Snowflake in May 2024 when it agreed to acquire TruEra for LLM and machine-learning observability.[20]
  • 1 acquisition was completed by Confluent in September 2024 when it acquired WarpStream for bring-your-own-cloud data streaming.[21]
  • 1 acquisition was announced by Snowflake in November 2024 when it agreed to acquire Datavolo for multimodal data-pipeline capabilities.[20]
  • 1 acquisition agreement was signed by Fivetran in May 2025 when it agreed to acquire Census, adding reverse ETL and data activation.[22]

Strategic partnerships in the data warehouse industry

  • Confluent launched an OEM program in September 2024 to help partners commercialize data-streaming capabilities.[21]
  • Snowflake’s partner network included system integrators, resellers, data providers, services partners and technology partners in fiscal 2025.[19]
  • Seven Google Cloud regions supported Snowflake deployments under the companies’ cloud partnership as of 2026.[20]
  • Confluent and Databricks announced a partnership in February 2025 focused on real-time artificial intelligence.[21]
  • Confluent launched Build with Confluent in June 2024 to help system integrators access the data-streaming market.[21]

07 Statistics

People & Workforce

Workforce planning connects directly to platform needs, with 62% of employers planning to recruit skills to work with AI and nearly 90% of data professionals reporting data-modeling approach challenges.

Hiring in the data warehouse industry

  • 10% of smaller organizations and 14% of larger organizations hired prompt engineers for AI-related work in the prior year.[23]
  • 29% of organizations with at least $1 billion in revenue hired machine-learning engineers for AI-related work in the prior year.[23]
  • 19% of organizations with under $1 billion in revenue hired data engineers for AI-related work in the prior year, compared with 29% of organizations at or above $1 billion.[23]
  • 38% of data and AI leaders included engineering talent in their investment and hiring focus in Team8’s 2025 Data Village Survey.[24]
  • 14% of smaller organizations and 30% of larger organizations hired AI data scientists in the prior year.[23]

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.[25]
  • 10% of technology-services respondents worked under fully flexible arrangements in 2025, allowing employees substantial control over remote work.[26]
  • 6% of global respondents worked fully remotely in 2025, defined as spending less than one day per week in the office.[26]
  • 48% of U.S. software and IT professionals surveyed worked remotely in 2026, compared with 21% in France.[25]
  • 84% of technology-services employers agreed in 2025 that the ability to work remotely is important for employee retention.[26]

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

  • 56% of IT employees worked in hybrid arrangements in 2025, while 31% were fully remote and 13% attended the office daily.[27]
  • 47% of global respondents worked in hybrid arrangements in 2025, down from 63% in Cisco’s 2022 study.[26]
  • 61% of U.S. employees with remote-capable jobs preferred hybrid work in November 2025, compared with 33% preferring fully remote work.[28]
  • 52% of U.S. employees with remote-capable jobs worked in hybrid arrangements in May 2026, according to Gallup.[28]
  • 55% of technology-services respondents worked in a hybrid arrangement in 2025, the highest share among industries measured by Cisco.[26]

Upskilling in the data warehouse industry

  • 69% of surveyed employers plan to recruit talent skilled in AI-tool design and enhancement, a key capability for modern data-platform teams.[4]
  • 62% of surveyed employers plan to recruit people with skills to work with AI, including skills increasingly used in warehouse and analytics teams.[4]
  • Nearly 90% of data professionals report challenges with their data-modeling approach, making modeling education a leading development need.[2]
  • 51% of surveyed employers plan to transition employees internally from declining roles to growing roles as skills requirements change.[4]
  • Data modeling education ranks second among requested training topics for data professionals in the 2026 survey.[2]

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

  • 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.[28]
  • 74% of respondents approved of fully flexible hybrid policies in 2025, the highest positive sentiment among the policy types Cisco measured.[26]
  • 92% of employees ranked collaboration and community as very important aspects of office culture in Cisco’s 2025 global study.[26]
  • 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.[28]
  • 22.2% of global software and IT respondents were happy with their current professional role in 2026, while 32.6% were unhappy.[25]

Change Management in the software and IT services sector (sector benchmark)

  • 44% of SAP change-management respondents identified requirements gathering as a challenge in 2025.[29]
  • 86% of SAP change managers said in 2025 that change management gives their business a competitive advantage.[29]
  • 59% of SAP change-management respondents expected AI to automate manual processes in change management, according to the 2025 survey.[29]
  • 42% of SAP change-management respondents cited inability to scale change management to business needs as a challenge in 2025.[29]
  • 87% of SAP change-management respondents believed AI would influence change management during the five years following the 2025 survey.[29]

08 Statistics

Customer & Sales

Customer experience in the data warehouse industry

  • 50% of healthcare organizations interviewed by KLAS planned to expand Snowflake usage across data warehouse and data engineering workloads in 2023.[20]
  • 72 was Snowflake’s overall Net Promoter Score in its 2022 support survey, based on customer responses collected in 2021.[20]
  • 92.2% was Snowflake’s score in KLAS Research’s 2023 evaluation of its healthcare data cloud customer experience.[20]

Customer retention in the data warehouse industry

  • 110.1% was Fastly’s last-twelve-month net retention rate as of December 31, 2025; Fastly provides edge-cloud infrastructure rather than data warehousing, so no figure is included here.[30]
  • 125% was Snowflake’s net revenue retention rate as of January 31, 2026.[18]
  • 126% was Snowflake’s dollar-based net revenue retention rate as of July 31, 2026.[18]

Customer acquisition in the data warehouse industry

  • 790 Forbes Global 2000 customers used Snowflake as of January 31, 2026, representing 5% year-over-year growth.[18]
  • 740 net new customers were added by Snowflake in fiscal 2026, representing 40% year-over-year growth.[18]
  • 733 Snowflake customers generated more than $1 million in trailing-12-month product revenue as of January 31, 2026, up 27% year over year.[18]

09 Statistics

Marketing & Brand

Warehouse integration extends into marketing operations, with 92% of pure B2C companies reporting an integrated warehouse or lakehouse in marketing operations in 2025.

Marketing in the data warehouse industry

  • 92% of pure business-to-consumer companies surveyed reported an integrated warehouse or lakehouse in their marketing operations in 2025.[31]
  • 6.3% of surveyed organizations had another warehouse or lakehouse integrated with their marketing technology stack in 2025.[31]
  • 34% of small and medium-sized businesses surveyed reported an integrated warehouse or lakehouse in their marketing operations in 2025.[31]
  • 9.4% of surveyed organizations had Microsoft Azure integrated with their marketing technology stack in 2025.[31]
  • 14.6% of surveyed organizations had AWS integrated with their marketing technology stack in 2025.[31]

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.[32]
  • 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.[33]
  • 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.[32]
  • Across B2B companies, 43% of marketers reported outstanding results from their influencer programs in the 2025 B2B Influencer Marketing Report.[34]
  • Across B2B companies, 55% of marketing organizations were using influencers in 2025, based on an Ipsos survey of 1,500 marketing leaders.[33]

10 Statistics

Operations & Execution

Operational shift toward cloud shows up in reported usage and economics, including Snowflake’s fiscal 2025 product revenue reaching $3.5 billion and Oracle reporting $20.6 billion operating income in fiscal 2026.

Process optimization in the data warehouse industry

  • 30% year-over-year growth brought Snowflake’s fiscal 2025 product revenue to $3.5 billion, reflecting expanded consumption of its cloud data platform in fiscal 2025.[19]
  • 650-plus Databricks customers were consuming more than $1 million in annual revenue run-rate in September 2025.[11]
  • More than 20,000 organizations worldwide used Databricks in February 2026, including more than 60% of Fortune 500 companies.[11]
  • Databricks surpassed a $5.4 billion revenue run-rate in February 2026, with revenue growing by more than 65% year over year in the fourth quarter.[11]
  • Teradata reported a 117% public-cloud net expansion rate in 2024, including usage increases, cancellations and customer migrations to cloud.[35]

Operational efficiency in the data warehouse industry

  • Oracle reported $20.6 billion of operating income on $67.4 billion of revenue in fiscal 2026.[36]
  • Teradata’s recurring revenue was $351 million in 2024, down 6% as reported and 4% in constant currency.[19]
  • Oracle Cloud@Customer datacenter revenue grew 104% year over year in fiscal 2025.[37]
  • Snowflake added 616 net customers in the quarter reported in fiscal 2027, a 38% year-over-year increase.[18]
  • Teradata’s gross profit margin was 60.5% in 2024, compared with 60.8% in 2023.[19]

Quality management in the data warehouse industry

  • BigQuery provides a free monthly tier of 1 tebibyte of query processing and 10 gibibytes of storage per billing account.[12]
  • Teradata described its Vantage platform as being supported by workload-management optimization technology for large-scale analytics workloads in 2024.[38]

Supply chain in the data warehouse industry

  • Oracle’s cloud revenue reached $34.0 billion in fiscal 2026, reflecting its cloud infrastructure and software delivery ecosystem.[36]
  • More than 20,000 organizations worldwide used Databricks in February 2026, demonstrating the platform’s broad partner and customer ecosystem.[11]
  • Teradata reported that most customers had transitioned to subscription-based offerings by 2024, reducing reliance on perpetual software and hardware sales.[19]
  • Snowflake’s product revenue is primarily generated from customer consumption of compute, storage and data-transfer resources in its cloud platform in fiscal 2025.[18]
  • Oracle’s multicloud database revenue from Amazon, Google and Azure grew 115% sequentially from fiscal 2025 third quarter to fourth quarter.[37]

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

  • Among German IT-service generalists, 10.2% of digital-experience services for customer projects were delivered offshore in 2024.[39]
  • Among German IT-service generalists, 19.5% of digital-experience services for customer projects were delivered nearshore in 2024.[39]
  • Across German digital-experience service providers, 7.6% of services for customer projects were delivered offshore in 2024.[39]
  • Across German digital-experience service providers, 13.2% of services for customer projects were delivered nearshore in 2024.[39]
  • Across European organizations, 35% planned to increase their use of nearshore outsourcing in the 2024/2025 sourcing study.[40]

11 Statistics

Finance & Pricing

Usage pricing appears with explicit per-unit rates, including BigQuery’s $6.25 per tebibyte on-demand query price above the first 1 TiB free each month in 2026.

Pricing strategy in the data warehouse industry

  • $0.000054795 per gibibyte-hour was BigQuery’s listed active physical-storage price in 2026.[12]
  • $0.000021918 per gibibyte-hour was BigQuery’s listed long-term logical-storage price in 2026.[12]
  • $0.06 per slot-hour was BigQuery’s listed capacity-compute price in 2026 before applicable commitment discounts.[12]
  • $0.000031507 per gibibyte-hour was BigQuery’s listed active logical-storage price in 2026.[12]
  • $6.25 per tebibyte was BigQuery’s on-demand query price above the first 1 tebibyte free each month in 2026.[12]

Cost reduction in the data warehouse industry

  • Teradata spent approximately $37 million on reorganization activities in 2024, down from $43 million in 2023.[19]
  • BigQuery’s long-term logical-storage price was approximately 30% below its active logical-storage price in the listed 2026 rates.[12]
  • A BigQuery example showed a 10-terabyte dataset costing about $200 monthly for storage while repeated full scans could raise query charges to about $5,000 monthly.[12]
  • The first 1 tebibyte of BigQuery query processing per month is free under the 2026 on-demand pricing model.[12]
  • The first 10 gibibytes of BigQuery storage per month is free under Google Cloud’s 2026 free tier.[12]

Profitability in the data warehouse industry

  • Oracle reported $17.1 billion of net income in fiscal 2026.[36]
  • Oracle reported $20.6 billion of operating income in fiscal 2026.[36]
  • Databricks exceeded a $4 billion revenue run-rate in the second quarter of 2025, with growth above 50% year over year.[11]
  • Databricks exceeded a $5.4 billion revenue run-rate in the fourth quarter of 2025, with growth above 65% year over year.[11]
  • Teradata reported a 60.5% gross-profit margin in 2024.[38]

Financial planning in the data warehouse industry

  • Teradata’s public-cloud annual recurring revenue grew 15% in 2024, supporting its cloud-transition planning.[35]
  • Databricks reported a $5.4 billion revenue run-rate in February 2026.[11]
  • Snowflake reported $3.5 billion of fiscal 2025 product revenue, up 30% year over year.[19]
  • Databricks reported more than $1 billion of annualized AI revenue in September 2025.[11]
  • Teradata used approximately $37 million for reorganization activities in 2024 as part of workforce and go-to-market planning.[19]

12 Statistics

Product & Service

Productization and AI add-ons show up in quantified adoption, including 9,100 Snowflake accounts using AI features in fiscal 2026 and Databricks Data Warehousing exceeding $1 billion after general availability.

Product development in the data warehouse industry

  • 150 products were migrated by Dun & Bradstreet to BigQuery as part of its data-platform modernization, according to Google Cloud.[12]
  • $1 billion was the Databricks AI-products revenue run-rate in 2025 as the company expanded Agent Bricks, Lakebase and Databricks Apps globally.[11]
  • $1 billion was the Databricks AI-products revenue run-rate in 2025, following the company’s development of new agent and lakehouse capabilities.[11]
  • 5x more organizations used BigQuery than the two leading cloud companies exclusively offering data-warehouse and data-science platforms, according to Google Cloud in 2025.[12]
  • 9,100 Snowflake accounts were using the company’s AI features in fiscal 2026, including customers in Europe and the United States.[18]

Product lifecycle in the data warehouse industry

  • Less than 4 years was the time Databricks took for its Data Warehousing product to exceed a $1 billion revenue run-rate after general availability.[11]
  • 60% of Fortune 500 companies used Databricks by February 2026, according to the company.[11]
  • Thousands of customers adopted Databricks Lakebase within its first 6 months after launch, according to the company’s December 2025 update.[11]
  • 5,000 customers used Databricks in 2021, according to the company’s historical customer disclosure.[11]
  • 790 Forbes Global 2000 companies were Snowflake customers as of January 31, 2026, based on the 2025 Forbes Global 2000 list.[10]

Value proposition in the data warehouse industry

  • $4.8 billion was Databricks’ revenue run-rate in December 2025, representing year-over-year growth above 55%.[11]
  • $9.77 billion was Snowflake’s remaining performance obligation at January 31, 2026, up 42% year over year.[18]
  • 140% or higher was Databricks’ net retention rate in September 2025, reflecting expansion within its existing customer base.[11]
  • 43% of Snowflake’s fiscal 2026 revenue came from Forbes Global 2000 customers.[10]
  • 84% of surveyed business users reported significant efficiency gains from AI-supported data access in a 2025 infrastructure-software industry report.[41]

13 Statistics

Sustainability & Ethics

Operational footprint reporting includes energy and renewable sourcing, such as Teradata using 27,809 MWh of energy from 24,691 MWh of renewable energy in 2024.

Sustainability in the data warehouse industry

  • 29,893 cubic metres of water were consumed by Teradata in 2024 globally.[42]
  • 27,809 MWh of energy was consumed by Teradata in 2024 globally.[42]
  • 24,691 MWh of renewable energy was used by Teradata in 2024 globally.[42]
  • 88.8% of Teradata’s energy consumption came from renewable sources in 2024 globally.[42]
  • 35.5% was Teradata’s reduction in energy consumption in 2024 compared with its 2021 baseline globally.[42]

ESG in the data warehouse industry

  • 5,725 employees worked for Teradata globally in 2024.[42]
  • 37.4% of Teradata’s employees were located in the Americas in 2024.[42]
  • 76% was Teradata’s employee-engagement survey result in 2024 globally.[42]
  • 28.7% of Teradata employees participated in the Teradata Cares program in 2024 globally.[42]
  • 38 countries recorded employee participation in Teradata Cares in 2024.[42]

Circular economy in the data warehouse industry

  • 4.4% of waste at Teradata’s San Diego campus was sent to landfill in 2024.[42]
  • 95.6% of waste at Teradata’s San Diego campus was recycled in 2024.[42]

Carbon footprint in the data warehouse industry

  • 23 metric tonnes of Scope 3 emissions came from end-of-life treatment of sold products for Teradata in 2024 globally.[42]
  • 65,417 metric tonnes of Scope 3 greenhouse-gas emissions were reported by Teradata in 2024 globally.[42]
  • 5,872 metric tonnes represented Teradata’s total location-based Scope 1 and 2 emissions in 2024 globally.[42]
  • 5,512 metric tonnes of location-based Scope 2 emissions were reported by Teradata in 2024 globally.[42]
  • 436 metric tonnes of market-based Scope 2 emissions were reported by Teradata in 2024 globally.[42]

15 Statistics

Globalization & Expansion

Regional scale is documented through customer counts, including Snowflake having 14,554 customers as of July 31, 2026 and investing in deployments across EMEA, Asia-Pacific, and Japan in fiscal 2025.

Globalization in the data warehouse industry

  • Snowflake invested in public-cloud deployments across EMEA, Asia-Pacific and Japan, and Latin America in fiscal 2025.[19]
  • 829 Forbes Global 2000 companies were Snowflake customers as of July 31, 2026, contributing approximately 41% of first-half revenue.[19]
  • 790 Forbes Global 2000 companies were Snowflake customers as of January 31, 2026, representing 43% of fiscal-year revenue.[19]
  • 14,554 customers used Snowflake as of July 31, 2026, up from 13,245 customers at January 31, 2026.[19]
  • 745 Forbes Global 2000 companies were Snowflake customers as of January 31, 2025, contributing approximately 41% of annual revenue.[19]

Stakeholder management in the data warehouse industry

  • 135 Snowflake customers generated more than $5 million in trailing-12-month product revenue as of January 31, 2026.[19]
  • 56 Snowflake customers generated more than $10 million in trailing-12-month product revenue as of January 31, 2026.[19]
  • 125% was Snowflake’s net revenue retention rate as of January 31, 2026, reflecting expansion among existing customers.[19]
  • 68% of Snowflake product revenue came from customers exceeding $1 million in trailing-12-month product revenue in fiscal 2026.[19]
  • 97% of Snowflake revenue in fiscal 2026 came from existing customers under capacity arrangements, indicating strong reliance on ongoing customer relationships.[19]

Distribution channels in the data warehouse industry

  • Snowflake’s partner network includes system integrators, resellers, data providers and other services partners, according to its fiscal 2025 filing.[19]
  • Snowflake sells its platform through direct sales, resellers and distributors as of January 31, 2026.[19]

Key questions about the data warehouse industry

What is the global market size for data warehousing in 2025?
The global data warehousing market reached $37.42 billion in 2025. A narrower data-warehouse-as-a-service definition produced a 2025 estimate of $11.6 billion.
How fast is the broader data warehousing market expected to grow through 2030?
The broad data warehousing market is forecast to reach $79.15 billion by 2030. This implies a 16.2% CAGR from 2025 to 2030.
Which companies lead the data warehouse industry?
Alphabet and Microsoft are tied at the top of Gitnux's 2026 data warehouse ranking with an Overall score of 9.6 each.
What technology shifts are reshaping warehouse demand in this period?
Cloud-native platforms and AI workloads are major reshaping factors, along with governed, interoperable data. The material also notes a shift from batch reporting toward AI-ready, machine-readable data foundations.
How is the market commonly structured in this industry material?
The market is segmented by deployment (on-premises, cloud, hybrid), by data type (structured, semi-structured, unstructured), and by organization size (large enterprises and SMEs). For data-warehouse-as-a-service, public cloud held more than 60% of revenue in 2025.
What pricing model do buyers most often face for warehouse services?
Pricing is generally consumption-based or capacity-based rather than seat-based. BigQuery lists on-demand query pricing at $6.25 per tebibyte processed after the first 1 TiB per month, with storage priced separately.
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 Warehouse Industry Statistics. Gitnux. https://gitnux.org/data-warehouse-industry-statistics
MLA
Samuel Norberg. "Data Warehouse Industry Statistics." Gitnux, 11 Nov 2026, https://gitnux.org/data-warehouse-industry-statistics.
Chicago
Samuel Norberg. 2026. "Data Warehouse Industry Statistics." Gitnux. https://gitnux.org/data-warehouse-industry-statistics.

Sources & references

62 sources cited across this report

  1. palantir.com
  2. joereis.github.io
  3. getdbt.com
  4. weforum.org
  5. arxiv.org
  6. teksystems.com
  7. higherlogicdownload.s3.amazonaws.com
  8. ec.europa.eu
  9. oecd.org
  10. s26.q4cdn.com
  11. databricks.com
  12. cloud.google.com
  13. anomalo.com
  14. riverbed.com
  15. utah.ismworld.org
  16. informatica.com
  17. kpmg.com
  18. investors.snowflake.com
  19. sec.gov
  20. snowflake.com
  21. confluent.io
  22. fivetran.com
  23. mckinsey.com
  24. explore.team8.vc
  25. survey.stackoverflow.co
  26. newsroom.cisco.com
  27. computerworld.com
  28. gallup.com
  29. cio.com
  30. investors.fastly.com
  31. content.martechday.com
  32. brand-news.it
  33. business.linkedin.com
  34. toprankmarketing.com
  35. financialfilings.com
  36. d18rn0p25nwr6d.cloudfront.net
  37. investor.oracle.com
  38. content-archive.fast-edgar.com
  39. luenendonk.de
  40. whitelane.com
  41. cdn.hl.com
  42. teradata.com
  43. gtia.org
  44. isc2.org
  45. cdn.sypher.eu
  46. pagerduty.com
  47. thebusinessresearchcompany.com
  48. grandviewresearch.com
  49. techradar.com
  50. itpro.com
  51. eur-lex.europa.eu
  52. support.google.com
  53. microsoft.com
  54. oracle.com
  55. news.sap.com
  56. developer.ibm.com
  57. clickhouse.com
  58. yellowbrick.com
  59. starburst.io
  60. investor.teradata.com
  61. idc.com
  62. digital-strategy.ec.europa.eu