Gitnux/Report 2026

Data Analysis Industry Statistics

AI assisted preparation is set to drive cleaner workflows, with 58% of organizations already using AI assisted data preparation tools, while poor data quality still costs the average organization $12.9 million a year and 61% report data quality issues at least weekly. This Data Analysis Industry snapshot also tracks where investment is heading, from BI and analytics software growth through governance, data catalogs, and real time streaming use.
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November 11, 2026Updated
Data Analysis Industry Statistics
Isabelle MoreauWritten by Isabelle Moreau·Edited by Gabrielle Fontaine·Fact-checked by Nikolas Papadopoulos
Published ·Updated
How this report is researched
01Editorial Scope

Gitnux editors write the brief first: the topic, the inclusion rules, and the frame for what belongs.

02Source Research

Agents search the published record and log every extracted figure back to the passage 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 analysis industry at a glance

The global data and analytics software market is projected to reach $175 billion in 2025 and grow to $358 billion by 2029, as cloud, generative AI and data-management adoption accelerate.

$175B[10]
Data analytics software market, 2025
15.4%[10]
Forecast CAGR, 2025–2029
262,440[61]
U.S. data scientists employed, 2025
33.4%[62]
North America market share, 2025
Market size
Gartner estimated the worldwide data and analytics software market at $175 billion in 2025. A broader data analytics market estimate from Grand View Research valued the market at $85.5 billion in 2025, reflecting differences in market definitions and coverage.[10][62]
Forecast & CAGR
Gartner projects the data and analytics software market to reach $358 billion by 2029, implying a 15.4% CAGR from 2025 to 2029. Grand View Research forecasts the broader data analytics market to grow at a 31.8% CAGR from 2026 to 2033, reaching $738.6 billion.[10][62]
Market share & regions
North America accounted for 33.4% of the global data analytics market in 2025, according to Grand View Research. The same market assessment identifies North America as the leading regional market by revenue.[62]
Segmentation
The market is commonly segmented by analytics type, including descriptive, predictive, prescriptive and real-time analytics; by solution, including data management, data mining, security intelligence and data monitoring; and by application and industry. Grand View Research also identifies healthcare, IT and telecommunications, banking and financial services, education and manufacturing as major industry segments.[63][62]
Key players & concentration
The competitive landscape includes cloud hyperscalers, enterprise software vendors, specialist analytics-platform providers and data-management companies. Gartner reported that Amazon, Google and Microsoft were among the leading cloud providers in the data and analytics software market in 2024, while its 2025 assessment said cloud-native leaders continued to gain share over legacy vendors.[10]
Pricing
Cloud analytics pricing is increasingly usage-based or capacity-based rather than seat-only. Google BigQuery charges $6.25 per tebibyte of on-demand query processing after the first 1 TiB per month, while storage is priced separately and the first 10 GiB is free each month.[64]
Trends, drivers & challenges
Growth is being driven by cloud migration, generative AI, real-time processing, data visualization and demand for governed, AI-ready data. Gartner reported 13.9% growth in the data and analytics market in 2024 to $175 billion, while its 2025 research highlighted unified cloud data stacks, vector databases and automated governance; fragmented data, legacy systems and compliance remain persistent challenges.[10]
Consumer behavior & competition
Enterprise buyers are shifting toward integrated cloud-native platforms that combine data management, analytics, governance and AI capabilities. Gartner's 2025 platform research found that cloud-native leaders were rapidly expanding market share while legacy analytics competitors were declining, indicating that ecosystem integration and AI readiness are increasingly important purchasing criteria.[10]
M&A
SAP completed its acquisition of Dremio on July 6, 2026, paying approximately €515 million, according to SAP's third-quarter 2026 statement. The transaction strengthens SAP's lakehouse, data-integration and real-time analytics capabilities for SAP and non-SAP data.[65][66]
Regulation
The EU AI Act became broadly applicable on August 2, 2026, with transparency rules and enforcement for several obligations beginning on that date. Under the current implementation timeline, rules for high-risk AI systems are scheduled for December 2, 2027, while requirements for AI embedded in regulated products are scheduled for August 2, 2028.[67][68]
Latest news
In October 2026, SAP highlighted new lakehouse and data-fabric capabilities following its completed Dremio acquisition, positioning governed access to distributed enterprise data as a foundation for autonomous enterprise and agentic-AI workloads. SAP reported that Dremio contributed approximately €9 million in revenue during the third quarter of 2026.[66][65]

02 Ranking

Top 10 Companies in the Data Analysis Industry

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

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

Verdict

Microsoft leads Gitnux's 2026 data analysis ranking with an Overall score of 9.5, with Microsoft says its database, business intelligence and data warehousing compete in data and analytics. Alphabet is the highest-ranked cloud data and analytics provider at 9.3, with 15% R&D as a share of revenue and 15% revenue growth signals in data analytics business.

Ranked by Overall score · How we score ↓

Editor's top 3 picks

Where to start, by need.

  1. #1 Overall · Leader in enterprise database & warehousing

    Microsoft

    US

    Ranked #1 · 9.5 · Enterprise database & warehousing

    Why we picked it: Its database plus business intelligence and data warehousing sit inside the same data-and-analytics competition frame.

    See in ranking ↓Visit microsoft.com ↗

  2. Leader in cloud data & analytics

    Alphabet

    US

    Ranked #2 · 9.3 · Cloud data & analytics

    Why we picked it: Cloud data, analytics and business intelligence spans infrastructure, platform services, applications, and data analytics services.

    See in ranking ↓Visit abc.xyz ↗

  3. Leader in enterprise analytics platforms

    Oracle

    US

    Ranked #3 · 9.3 · Enterprise analytics platforms

    Why we picked it: Its enterprise analytics and cloud data platforms focus on helping customers see data in new ways.

    See in ranking ↓Visit oracle.com ↗

Pick 1 is the #1 company overall. Picks 2 and 3 are the highest-ranked companies in the top 5 that add a new segment.

Full ranking

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

Microsoft

Enterprise database & warehousing · US

9.5
2

Alphabet

Cloud data & analytics · US

9.3
3

Oracle

Enterprise analytics platforms · US

9.3
4

SAP

Lakehouse & data integration · DE

9.2
5

Palantir Technologies

Operational analytics & AI · US

9.1
6

IBM

Hybrid cloud, AI and enterprise analytics · US

9.0
7

Snowflake

Cloud data warehouse and analytics platform · US

8.9
8

Cloudera

Hybrid data platform and analytics · US

8.2
9

Dataiku

Enterprise data science and AI platform · US

8.2
10

Teradata

Enterprise analytic data platforms · 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

Isabelle Moreau. (2026, February 13). Top 10 companies in the data analysis industry. In Data Analysis Industry Statistics. Gitnux. https://gitnux.org/data-analysis-industry-statistics/#top-companies

report visual · Projection

U.S. Insights & Analytics industry revenue

U.S. Insights & Analytics industry revenue grew from $50.8B in 2019 to $77.0B in 2023.

$50.8B
Start
+10.96%
CAGR · 4y
$77.1B
Projected
20192023
source-verified7333719.fs1.hubspotusercontent-na1.net2023

04 Statistics

Technology & Innovation

We see long-lived team experience among AI leaders, with 9.1 years average tenure in 2024 versus 4.3 years at lagging organizations. Adoption also spans automation and sandbox phases.

AI in the data analysis industry

  • 9.1 years was the average tenure of data and analytics teams at AI leaders, compared with 4.3 years at lagging organizations in 2024.[1]
  • 42% of enterprise-scale companies surveyed reported actively deploying AI in 2023.[2]
  • 40% of enterprise-scale companies remained in AI experimentation or sandbox phases in 2023.[2]
  • 20% of all OECD firms used AI in 2025, while adoption among large firms reached 52%.[3]
  • 87% of data science and AI practitioners reported increasing AI adoption in 2024, including applications in data cleaning, task automation and predictive modeling.[4]
  • 28% of firms in the OECD information and communication sector used AI in 2023, the highest average among reported sectors.[3]

Automation in the data analysis industry

  • 13% of data practitioners’ time was spent building reports and dashboards in 2024.[5]
  • 57% of data professionals cited poor data quality as one of their top three challenges in preparing data for analysis in 2024.[5]
  • 55% of data practitioners’ time was spent maintaining or organizing datasets in 2024, the largest reported day-to-day activity.[5]
  • 17% of data teams organized work primarily by project in 2024.[5]
  • 26% of data teams organized work primarily by function, such as data engineering, data science or business intelligence, in 2024.[5]
  • 26% of data practitioners’ time was spent maintaining platforms or infrastructure in 2024.[5]

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

  • 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]
  • 75% of digital leaders globally planned to increase AI-related business expenditure in 2024.[6]
  • 34% of surveyed organizations globally identified replacing or upgrading legacy technology as a top digital-transformation goal in 2024.[6]
  • 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]
  • 54.8% of surveyed organizations reported having a chief digital officer or another executive responsible for digital transformation.[7]

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

  • 67.6% of IT services were delivered through cloud infrastructure among surveyed organizations in 2024.[7]
  • 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]

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]
  • 65.5% of EU enterprises using paid cloud services used them for security software applications in 2025.[8]
  • 85.2% of EU enterprises using paid cloud services used them for email in 2025.[8]
  • 52.7% of EU enterprises with at least 10 employees used paid cloud-computing services in 2025.[8]
  • 26.1% of EU enterprises using paid cloud services used computing platforms for application development, testing or deployment in 2025.[8]
  • 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)

  • 40% was the highest reported enterprise adoption rate for big-data analytics across OECD countries in the latest available data through 2023.[3]
  • 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.[3]
  • 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.[3]

05 Statistics

Data & Analytics

We track quality and confidence gaps at scale, including poor data quality cited by 57% of data professionals and only 46% fully confident in data quality in 2025. Gartner valued the worldwide market at $175.17 billion in 2024.

Business intelligence in the data analysis industry

  • 20% was the average current business-intelligence penetration reported by retail-and-wholesale respondents in Dresner Advisory Services’ 2024 study.[9]
  • $175.17 billion was the worldwide data-and-analytics software market value in 2024, after 13.9% growth, according to Gartner.[10]
  • 45% was the average current business-intelligence penetration reported by manufacturing respondents in Dresner Advisory Services’ 2024 study.[9]
  • 40% was the average current business-intelligence penetration reported by technology respondents in Dresner Advisory Services’ 2024 study.[9]
  • $40 billion was the approximate annual global business-intelligence market size cited by ITPro in 2026.[11]
  • 22.7% was the 2024 growth rate of the nonrelational database-management-system segment in Gartner’s worldwide data-and-analytics software market.[10]

Data analytics in the data analysis industry

  • $323 billion was the forecast worldwide data-and-analytics services market value in 2024, according to Gartner.[10]
  • $175.17 billion was the worldwide data-and-analytics software market value in 2024, according to Gartner.[10]
  • 72% of organizations reported using AI in at least one business function in McKinsey’s early-2024 global survey.[12]
  • 13.9% was the worldwide growth rate of data-and-analytics software in 2024, according to Gartner.[10]
  • 13.6% was the forecast five-year CAGR for worldwide data-and-analytics services through 2028, according to Gartner.[10]
  • 57% of data professionals reported poor data quality as a major challenge in dbt Labs’ 2024 survey.[5]

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, 43% of organizations globally rated their data excellent for quality and completeness, 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, 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]
  • In 2025, 35% of organizations globally rated their data excellent for consistency and standardization, across surveyed technology and business organizations.[14]

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

  • In 2024, 32% of global technology leaders prioritized data governance among their data-management areas for the next 12 months.[15]
  • In 2024, 35% of U.S. technology executives prioritized data governance among their data-management areas for the next 12 months.[15]
  • 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, 61% of supply-management organizations reported having a dedicated data-governance function, based on an Institute for Supply Management survey.[17]
  • 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]

KPIs in the data analysis industry

  • 17% of respondents reported that AI contributed at least 5% of enterprise EBIT during the preceding 12 months, according to McKinsey’s 2024 survey.[12]
  • 10% of gen-AI adoption and scaling best practices identified by McKinsey involved tracking well-defined KPIs for adoption and return on investment.[12]
  • 80% of respondents said their organizations set efficiency as an AI objective in McKinsey’s 2025 survey.[12]
  • 23% of respondents reported that their organizations were scaling an agentic AI system somewhere in the enterprise in McKinsey’s 2025 survey.[12]
  • 64% of respondents said AI was enabling innovation in McKinsey’s 2025 survey, an outcome relevant to innovation-performance measurement.[12]

06 Statistics

Strategy & Growth

We see ongoing reliance on dashboards and visual analytics, with 49% of organizations reporting dashboards and visual analytics as their analytics approach in 2023. Data analytics M&A value reached $14.8 billion through November 9, 2026.

Growth in the data analysis industry

  • 19% was the 2020–2024 compound annual growth rate for banking, financial services and insurance data and analytics.[18]
  • 20% was the 2020–2024 compound annual growth rate for industrial data and analytics.[18]
  • 400% was AND Digital’s reported growth in 2025 as it expanded its data, cloud and AI consulting business.[11]
  • More than 7 times was the increase in U.S. enrollment in data analytics and data science programs from fall 2021 to fall 2024.[19]
  • 20% was the 2020–2024 compound annual growth rate for consumer-packaged-goods and retail data and analytics.[18]
  • 19% was the 2020–2024 compound annual growth rate for technology-sector data and analytics.[18]

Differentiation in the data analysis industry

  • 21% of organizations surveyed in 2023 were still using spreadsheets for analytics.[20]
  • 25% was the average share of employees actively using BI and analytics tools in the BARC survey period.[21]
  • 8% of organizations surveyed in 2023 said self-service visual analytics was used by the majority of business users who needed it.[20]
  • 38% of surveyed organizations identified embedded BI and analytics as a technical driver of adoption in 2022.[21]
  • 29% of organizations surveyed in 2023 were adopting or deploying advanced analytics such as machine learning.[20]
  • 49% of organizations surveyed in 2023 primarily used dashboards and visual analytics, including self-service, as their analytics approach.[20]

Mergers and acquisitions in the data analysis industry

  • $14.8 billion was the disclosed value of 2026 data analytics M&A deals through November 9.[22]
  • 54 data analytics M&A deals were recorded in 2026 through November 9.[22]
  • 133 data analytics M&A deals were recorded from 2025 through November 9, 2026.[22]
  • 160 data and analytics acquisitions were tracked in 2024 by PrivSource’s database.[23]
  • $8.4 billion was the value of the 2025 Clearwater Analytics take-private transaction led by Permira and Warburg Pincus.[22]
  • $452 million was the median data analytics M&A deal size in 2026 through November 9.[22]

Strategic partnerships in the data analysis industry

  • 2 companies, Magnite and Acxiom, announced a direct data-services integration for programmatic advertising in 2025.[24]
  • $200 million was Snowflake’s announced multi-year strategic partnership commitment with Anthropic in 2025.[11]
  • 1 strategic partnership between ChapsVision and Alcatel-Lucent Enterprise was signed in September 2025 to support data analytics capabilities.[25]
  • $100 million was the reported value of Databricks’ 2025 partnership with OpenAI to incorporate OpenAI models into its platform.[26]
  • 8,000 customers were served by Alteryx when it appointed a global technology and innovation partners leader in 2025.[11]

07 Statistics

People & Workforce

We see persistent hiring pressure and elevated skills focus, with U.S. data scientists employed at 262,440 in 2025. Remote and hybrid shares also remain high, including 34.8% of software and IT services respondents working remotely in 2026.

Hiring in the data analysis industry

  • 33% of data teams were hiring primarily to backfill positions in the second half of 2024.[27]
  • 6% of data-team leaders planned to reduce team size in the second half of 2024.[27]
  • 20% of data teams planned to make both permanent and contract hires in the second half of 2024.[27]
  • 40% of data teams were hiring primarily to increase headcount in the second half of 2024.[27]
  • 60% of data teams planned to make permanent hires only in the second half of 2024.[27]

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

  • 10% of technology-services respondents worked under fully flexible arrangements in 2025, allowing employees substantial control over remote work.[28]
  • 34.8% of global software and IT services respondents worked remotely in 2026, according to the Stack Overflow Developer Survey.[29]
  • 6% of global respondents worked fully remotely in 2025, defined as spending less than one day per week in the office.[28]
  • 48% of U.S. software and IT professionals surveyed worked remotely in 2026, compared with 21% in France.[29]
  • 84% of technology-services employers agreed in 2025 that the ability to work remotely is important for employee retention.[28]

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

  • 52% of U.S. employees with remote-capable jobs worked in hybrid arrangements in May 2026, according to Gallup.[30]
  • 56% of IT employees worked in hybrid arrangements in 2025, while 31% were fully remote and 13% attended the office daily.[31]
  • 61% of U.S. employees with remote-capable jobs preferred hybrid work in November 2025, compared with 33% preferring fully remote work.[30]
  • 47% of global respondents worked in hybrid arrangements in 2025, down from 63% in Cisco’s 2022 study.[28]
  • 55% of technology-services respondents worked in a hybrid arrangement in 2025, the highest share among industries measured by Cisco.[28]

Upskilling in the data analysis industry

  • 57% of data professionals identified stakeholder data literacy as an ongoing challenge in 2024.[5]
  • 6% of data-team leaders prioritized soft skills in new hires in the second half of 2024.[27]
  • 68% of men and 62% of women reported understanding how their job requirements will change over the next five years, according to data cited in 2024 AI research.[1]
  • 28.2% of the global STEM workforce were women in 2024, highlighting the data and technology talent pool’s gender imbalance.[32]
  • 82% of data-team leaders prioritized technical skills in new hires in the second half of 2024.[27]

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

  • 92% of employees ranked collaboration and community as very important aspects of office culture in Cisco’s 2025 global study.[28]
  • 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.[30]
  • 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.[30]
  • 22.2% of global software and IT respondents were happy with their current professional role in 2026, while 32.6% were unhappy.[29]
  • 74% of respondents approved of fully flexible hybrid policies in 2025, the highest positive sentiment among the policy types Cisco measured.[28]

DEI in the data analysis industry

  • 47.3% of the global non-STEM workforce were women in 2024, compared with 28.2% in STEM occupations.[32]
  • Women represented between 5% and 8% of data scientists and machine-learning experts over the decade covered by OECD analysis.[3]
  • 35% of the U.S. STEM workforce were women in 2021.[33]
  • 28.2% of the global STEM workforce were women in 2024.[32]
  • 31% was the increase in the number of U.S. women in STEM between 2011 and 2021.[3]

08 Statistics

Customer & Sales

We see retention and customer-experience signals tied to analytics outcomes, including Palantir net dollar retention at 120% in Q4 2024 and Medallia reporting 66% improvement in customer experience during 2025.

Customer experience in the data analysis industry

  • 66% of global customer-experience practitioners said their organizations’ customer experiences improved during 2025, according to Medallia’s 2026 study.[34]
  • More than 550 global customer-experience practitioners participated in Medallia’s 2026 State of Customer Experience study.[34]
  • 17% of consumers agreed that brands’ customer experiences improved during 2025, compared with 66% of customer-experience practitioners.[34]
  • More than 1,500 consumers participated in Medallia’s 2026 State of Customer Experience study, which examined customer-experience performance and expectations.[34]
  • More than 600 anonymized customer programs supplied benchmarks for Medallia’s 2026 State of Customer Experience report.[34]

Customer retention in the data analysis industry

  • 101% was Domo’s all-customer ARR net retention rate in the fourth quarter of fiscal 2023.[35]
  • 89% was Domo’s gross retention rate for the 12 months ended January 31, 2023.[35]
  • 107% was Domo’s all-customer ARR net retention rate in the third quarter of fiscal 2023.[35]
  • 90% was Domo’s gross retention rate for the 12 months ended January 31, 2022, among customers whose annual contract value was up for renewal.[35]
  • 120% was Palantir’s net dollar retention rate in the fourth quarter of 2024.[36]

09 Statistics

Marketing & Brand

We track adoption by role and channel, with 12% of respondents to Supermetrics’ 2026 Marketing Data Report working primarily in digital marketing and social media. Budgets for creator or influencer marketing split between growing and flat shares across technology companies.

Marketing in the data analysis industry

  • 12% of respondents to Supermetrics’ 2026 Marketing Data Report worked primarily in digital marketing and social media.[37]
  • 14% of respondents to Supermetrics’ 2026 Marketing Data Report worked primarily in brand marketing.[37]
  • 8% of respondents to Supermetrics’ 2026 Marketing Data Report worked primarily in performance or growth marketing.[37]
  • 13% of respondents to Supermetrics’ 2026 Marketing Data Report worked primarily in media planning and buying.[37]
  • 8% of respondents to Supermetrics’ 2026 Marketing Data Report worked primarily in content, creative and production.[37]

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

  • Across B2B companies, 43% of marketers reported outstanding results from their influencer programs in the 2025 B2B Influencer Marketing Report.[38]
  • Across B2B companies, 55% of marketing organizations were using influencers in 2025, based on an Ipsos survey of 1,500 marketing leaders.[39]
  • Across technology companies, 64% of marketers reported dedicated and growing budgets for creator or influencer marketing in 2026, according to Nielsen’s global marketing survey.[40]
  • 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.[40]
  • Across B2B companies, 58% of marketing teams reported using an always-on influencer marketing approach in the 2025 B2B Influencer Marketing Report.[38]

10 Statistics

Operations & Execution

We see operational friction and quality constraints, including up to 50% of the workday lost to digital friction among analytics users in 2025. Data-search time also reaches up to 10 hours per week.

Process optimization in the data analysis industry

  • Up to 50% of the workday was lost to digital friction among surveyed analytics users in 2025.[9]
  • 38% of respondents planned to increase investment in data quality or observability during the next 12 months in 2025.[5]
  • 76% of surveyed organizations admitted making decisions without data in 2025.[9]
  • 65% of respondents said enabling nontechnical users to create transformed and governed datasets would somewhat or greatly improve data value and efficiency in 2025.[5]
  • 45% of respondents planned to increase investment in AI tooling during the next 12 months in 2025.[5]

Operational efficiency in the data analysis industry

  • 30% of respondents reported that their data-team budgets increased from the previous year in 2025.[5]
  • Nearly 65% of respondents said governed self-service data transformation would improve organizational data value and efficiency in 2025.[5]
  • Almost half of surveyed organizations reported that only specialists could access analytics in 2025.[9]
  • Organizations spent up to 10 hours per week searching for data in the 2025 Sisense survey.[9]
  • 57% of data practitioners reported spending most of their workdays maintaining or organizing datasets in 2025.[5]

Quality management in the data analysis industry

  • 87% of surveyed enterprise data professionals said traditional rules-based data-quality approaches did not scale in 2024.[41]
  • Over 56% of data-team respondents cited poor data quality as their most frequent data-preparation challenge in 2025.[5]
  • 95% of surveyed enterprise data professionals had experienced a data-quality issue directly affecting business outcomes in 2024.[41]
  • 100% of surveyed enterprise data leaders and practitioners reported data-quality issues in warehouses or data lakes in 2024.[41]
  • 99% of surveyed enterprise data professionals planned to invest in data quality within two years in 2024.[41]

Supply chain in the data analysis industry

  • Data were collected from October 2025 through March 2026 for the global research, insights and analytics data-quality benchmark.[42]
  • 65% of surveyed supply-chain professionals selected big data and advanced analytics as the trend most likely to affect supply chains over the next three years in 2024.[43]
  • 6 countries received detailed reporting in the 2026 benchmark: the United States, United Kingdom, Canada, Australia, Germany and France.[42]
  • 6 detailed markets were covered by the 2026 global research, insights and analytics data-quality benchmark.[42]
  • 4 study types were covered by the 2026 global research, insights and analytics data-quality benchmark.[42]

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.[44]
  • Across German digital-experience service providers, 7.6% of services for customer projects were delivered offshore in 2024.[44]
  • Across EU enterprises sourcing business functions internationally during 2021–2023, 28.7% moved information and communication technology services abroad.[8]
  • Across German digital-experience service providers, 13.2% of services for customer projects were delivered nearshore in 2024.[44]
  • Among German IT-service generalists, 19.5% of digital-experience services for customer projects were delivered nearshore in 2024.[44]

11 Statistics

Finance & Pricing

We see pricing moving to usage-based models, with 21.2% of surveyed software companies reporting usage-based pricing in 2025. Tool entry prices span $14 to approximately $200 per user per month in 2026.

Pricing strategy in the data analysis industry

  • 21.2% of surveyed software companies reported using usage-based pricing in the 2025 SaaS pricing survey.[45]
  • 78% of surveyed companies with usage-based pricing had adopted it within the previous five years in 2025.[46]
  • 72% of tracked analytics software tools used usage-based pricing in 2026.[47]
  • $14 to approximately $200 per user per month was the entry-level price range for data-analysis software in 2026.[48]
  • $250 or more per user per month was common for mid-tier and high-end data-analysis software in 2026.[48]

Cost reduction in the data analysis industry

  • 57% of data practitioners spent most of their workdays maintaining or organizing datasets in 2025.[5]
  • 99% of surveyed enterprise data professionals reported challenges delivering data quality, including complex architectures and rising data volumes, in 2024.[41]
  • 87% of surveyed enterprise data professionals said traditional rules-based quality approaches did not scale in 2024.[41]
  • 9% of respondents reported data-team budget increases in the prior year, compared with 30% reporting increases in 2025.[5]
  • Up to 10 hours per week were spent searching for data by surveyed analytics users in 2025.[9]

Profitability in the data analysis industry

  • 24.1% was the median EBITDA margin for publicly traded data-analytics companies at December 31, 2024.[49]
  • 7.4x was the median EV-to-EBITDA multiple for publicly traded data-analytics companies at December 31, 2024.[49]
  • 2.5% was the median revenue growth rate for publicly traded data-analytics companies at December 31, 2024.[49]
  • 12.3x was the median EV-to-revenue multiple for publicly traded data-analytics companies at December 31, 2024.[49]
  • $328.3 million was MSCI Analytics’ adjusted EBITDA in 2024.[35]

Financial planning in the data analysis industry

  • 38% of respondents planned to increase data-quality and observability investment over the next 12 months in 2025.[5]
  • 86% of organizations planned to increase AI investment over the next financial year in the 2026 Deloitte research cited by TechRadar.[50]
  • 40% of respondents reported that their data team was larger than the previous year in 2025.[5]
  • 30% of respondents reported that their data-team budget was larger than the previous year in 2025.[5]
  • 27% of respondents intended to increase investment in semantic-layer tooling over the next 12 months in 2025.[5]

12 Statistics

Product & Service

We see pressure to manage data as a product and to improve data quality, with 80% of data and technology leaders using or considering data products and data-product management in a 2024 summary.

Product development in the data analysis industry

  • 57% of data professionals cite poor data quality as a major challenge, up from 41% in 2022, in dbt Labs’ 2024 survey.[5]
  • 80% of data and technology leaders were using or considering data products and data-product management, according to a 2024 summary of Thoughtworks research.[51]
  • 18% of Digital Champion companies use data analytics and AI comprehensively in product development, according to PwC’s 2025 study.[52]
  • 67% of organizations expected to increase AI investment over the following three years in McKinsey’s 2024 survey of organizations worldwide.[12]
  • 41% of companies use data analytics and AI in product-development processes, while 5% use them comprehensively, according to a 2025 global study.[52]

Product lifecycle in the data analysis industry

  • 18% of Digital Champions apply data analytics and AI comprehensively across product-development activities, according to PwC’s 2025 research.[52]
  • 70% of organizations reported difficulties involving data governance, data integration or training data in McKinsey’s 2024 generative-AI survey.[12]
  • 38% of respondents whose organizations use AI expected generative AI to have little effect on workforce size over the following three years, according to McKinsey’s 2024 survey.[12]
  • 41% of companies use data analytics and AI somewhere in product-development processes, while only 5% apply them comprehensively across the process lifecycle, according to PwC’s 2025 study.[52]
  • 57% of data professionals reported poor data quality as a challenge in dbt Labs’ 2024 survey, an increase from 41% in 2022.[5]

After-sales in the data analysis industry

  • 71% of organizations regularly used generative AI in at least one business function in McKinsey’s 2024 survey, including service-related functions.[12]
  • $323 billion was the forecast worldwide value of data-and-analytics services in 2024, with service-provider reliance identified as a growth driver.[10]
  • 13.6% was the forecast five-year compound annual growth rate for worldwide data-and-analytics services through 2028.[10]
  • 36% of organizations reported AI use in IT, the highest individual-function level cited in McKinsey’s 2024 survey and a key channel for technical support and service delivery.[12]

Value proposition in the data analysis industry

  • More than 80% of respondents said their organizations had not seen tangible enterprise-level EBIT impact from generative AI, according to McKinsey’s 2024 survey.[12]
  • 39% of respondents reported enterprise-level EBIT impact from AI in McKinsey’s 2025 survey.[12]
  • 64% of respondents said AI was enabling innovation in the 2025 McKinsey global survey.[12]
  • 80% of respondents said their organizations set efficiency as an objective of AI initiatives in McKinsey’s 2025 survey.[12]
  • 23% of respondents said their organizations were scaling an agentic AI system somewhere in the enterprise in McKinsey’s 2025 survey.[12]

13 Statistics

Sustainability & Ethics

We see energy and emissions disclosures at the scale of 494 TWh electricity consumption in 2024 across 163 digital companies. Data and analytics practitioners cite sustainability as a low priority at less than 25%.

Sustainability in the data analysis industry

  • 151 of 200 assessed digital companies submitted near-term Scope 1 and 2 reduction targets for 2024, globally.[53]
  • 163 digital companies reported consuming 494 TWh of electricity in 2024, globally.[53]
  • 81 assessed digital companies demonstrated comprehensive climate-transition plans for 2024, globally.[53]
  • 114 near-term emissions targets submitted by assessed digital companies were validated by science-based frameworks for 2024, globally.[53]
  • 47% of assessed digital companies reported emissions across all relevant Scope 3 value-chain activities for 2024, globally.[53]

ESG in the data analysis industry

  • 76% of digital companies assessed had submitted near-term Scope 1 and 2 reduction targets for 2024.[53]
  • Less than 25% of enterprise data and analytics practitioners cited sustainability as a priority.[54]
  • 76% of reported emissions from assessed digital companies came from Scope 3 activities in 2024.[53]
  • Slightly less than 50% of data and analytics practitioners said their companies collected, or planned to collect, energy, carbon-footprint and resource-sustainability data for ESG initiatives.[54]

Ethics in the data analysis industry

  • 23.8% of data and analytics executives said the industry had done enough to address data and AI ethics in 2023.[55]
  • 7% of surveyed organizations reported achieved compliance with ethical data governance.[56]
  • 21.6% of data and analytics executives said the industry had done enough to address data and AI ethics in 2022.[55]
  • 40.2% of data and analytics executives reported well-established, understood and executed data-and-AI ethics policies and practices in 2023.[55]
  • 44.2% of data and analytics executives reported well-established ethics policies and practices in 2022.[55]

Carbon footprint in the data analysis industry

  • Operational emissions from assessed digital companies represented 0.8% of global energy-related emissions in 2024.[53]
  • Digital companies reported 301 million tonnes of Scope 1 and 2 carbon-dioxide-equivalent emissions in 2024, globally.[53]
  • Operational emissions from assessed digital companies increased 1.2% between 2023 and 2024.[53]
  • Scope 3 emissions accounted for 76% of total reported emissions among digital companies disclosing value-chain emissions in 2024.[53]
  • 54% of electricity consumption reported by digital companies in 2024 was concentrated in 10 companies.[53]

15 Statistics

Globalization & Expansion

We track regional market scale, with Europe at $79.0 billion in 2024 and Asia-Pacific at $120.0 billion in 2024. North America IT distribution revenue was $79.4 billion year-to-date in 2026.

Globalization in the data analysis industry

  • $79.0 billion was the European data and analytics market in 2024.[18]
  • 16% was the 2020–2024 compound annual growth rate for North American data and analytics.[18]
  • $120.0 billion was the Asia-Pacific data and analytics market in 2024.[18]
  • 19% was the 2020–2024 compound annual growth rate for Asia-Pacific data and analytics.[18]
  • 19% was the 2020–2024 compound annual growth rate for European data and analytics.[18]

Distribution channels in the data analysis industry

  • $4.3 billion was the combined third-quarter 2026 increase in North American enterprise infrastructure, components and semiconductors, and network infrastructure distribution.[11]
  • $28.9 billion was North American IT distribution revenue in the third quarter of 2026, including channels serving data and analytics infrastructure.[11]
  • $79.4 billion was North American IT distribution revenue year-to-date in 2026.[11]
  • 66% of the year-over-year increase in North American IT distribution revenue came from infrastructure, components, semiconductors and network infrastructure in the third quarter of 2026.[11]
  • 29.2% was year-over-year growth in North American IT distribution revenue in the third quarter of 2026.[11]

Key questions about the Data Analysis Industry

What is the current size of the data and analytics software market?
Gartner estimated the worldwide data and analytics software market at $175 billion in 2025. A broader data analytics market estimate from Grand View Research valued it at $85.5 billion in 2025.
How fast is the data and analytics software market growing?
Gartner projects the market to reach $358 billion by 2029, implying 15.4% CAGR from 2025 to 2029. Gartner also reported 13.9% growth in 2024 to $175 billion.
Which companies lead the data analysis industry?
Microsoft leads Gitnux's 2026 data analysis ranking with an Overall score of 9.5, with Microsoft says its database, business intelligence and data warehousing compete in data and analytics. Alphabet is the highest-ranked cloud data and analytics provider at 9.3, with 15% R&D as a share of revenue and 15% revenue growth signals in data analytics business.
What technology shifts are shaping product and deployment choices?
Cloud migration, generative AI, and real-time processing are driving growth, alongside governed, AI-ready data. Gartner highlighted unified cloud data stacks, vector databases, and automated governance.
How are buyers changing purchasing and governance requirements?
Cloud analytics pricing is increasingly usage-based or capacity-based rather than seat-only, and governance spending accelerates for governed, AI-ready data. The EU AI Act became broadly applicable on August 2, 2026, with high-risk AI rules scheduled for December 2, 2027.
Reference

Cite This Report

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APA
Isabelle Moreau. (2026, February 13). Data Analysis Industry Statistics. Gitnux. https://gitnux.org/data-analysis-industry-statistics
MLA
Isabelle Moreau. "Data Analysis Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/data-analysis-industry-statistics.
Chicago
Isabelle Moreau. 2026. "Data Analysis Industry Statistics." Gitnux. https://gitnux.org/data-analysis-industry-statistics.

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