Market data
Data Science Analytics
Explore verified data science analytics statistics and market research reports with sourced data and trend analysis.
Latest update:
Rachel Svensson
Geospatial Statistics
In 2023, precision farming with GIS reduced fertilizer use by 15%—how 500,000 farms adopted smarter targeting.
Time Series Analysis Statistics
Differencing turns non-stationary series into stationarity in d steps (often 0–2)—then match ACF/PACF patterns to the right model.
Data Visualization Industry Statistics
GDPR/CCPA complicates 71% of visualization projects—and 22% get abandoned, making compliance readiness a must.
Data Science Statistics
Manufacturing predictive maintenance can cut downtime by 40%—and this is how data science enables smarter operations across industries.
Data Industry Statistics
Global data creation reached 120 zettabytes in 2023—90% generated in the last two years. See how this shifts careers, markets, and risk.
Dbcc Update Statistics
Cut blocking incidents by scheduling Dbcc Update off-peak—see how it runs faster and keeps stats accurate with targeted scope.
B2B Data Intelligence Industry Statistics
Apollo.io raised $110M in Series C—while B2B data intelligence helps firms cut CAC by 27% and accelerate growth within a year.
Dashboard Statistics
Drag-and-drop powers 88% of modern dashboards—build faster and avoid sluggish performance with 2.3-second load times.
Business Intelligence Industry Statistics
BI is delivering speed and governance, from 2.5x faster query performance with warehouse optimization to 72% of organizations using RBAC, yet reporting is still broken for 30% due to data pipeline issues and inconsistent metrics across departments. Read these Business Intelligence Industry statistics to see why BI value keeps rising, including 67% using dashboards daily or weekly and 60% adding AI and ML, while costs from tool sprawl and refresh failures quietly erode the gains.
Data Analysis Reporting Industry Statistics
Tableau leads BI visualization with 12.4% market share in Q4 2023, while cloud reporting is accelerating fast with BI tools that use real-time streaming in 72% of reports and cloud-native integrations adopted by 65% in 2023. You will also see how demand is shifting across the stack from predictive analytics at 28% share to BI roles that increasingly reward SQL and Python, with BI analyst growth of 25% YoY and 450,000 new jobs in 2023.
Analyzing Web Statistics
Web attack analytics is getting more urgent fast, with 43% of breaches tied to exploitable vulnerabilities and 61% of organizations planning more application security spend this year. This Analyzing Web page connects how people actually browse to how attacks and performance failures show up in log analytics, from Core Web Vitals to web application firewalls.
Unstructured Data Statistics
Unmanaged unstructured data is getting riskier and pricier, with security breaches up 28% in 2023 and an average cost of $4.5M, even as 2023 surveys show 72% of enterprises can still achieve 5 to 10x ROI from processing it. This page connects the practical payoff with the hard blockers, from data silos trapping 65% of unstructured content to market growth that is pushing unstructured analytics and AI to new scale.
Data Governance Statistics
With 76% of firms needing stronger data governance to meet DORA compliance by 2025, the stakes are unusually immediate. See how governance maturity drives faster decisions, higher data quality, and lower compliance costs while poor governance still fuels breaches and GDPR fines.
Analytical Statistics
Global big data and business analytics are projected to grow at a 10.2 percent CAGR through 2026, but adoption hinges on harder realities like 23 percent of respondents citing lack of trust in AI outputs and the $12.0 million annual cost of poor data quality. You will see how governance, cloud analytics speed, and predictive accuracy improvements translate into measurable outcomes such as lower churn, reduced fraud losses, and faster time to insight.
Data Statistics
With data governance at the center, 82% of business leaders expect it to sharpen decision-making, yet 48% of organizations still struggle because data quality issues damage customer experience. This page pulls together the full stack behind that gap from inconsistent definitions and people driven breach errors to what data cataloging, MDM, privacy minimization, and streaming performance targets can realistically fix.
Confounder Statistics
Confounder cuts confounding bias fast when you design studies with purpose, from age stratification reducing bias by 75 percent in 120 meta analyzed studies to propensity score matching cutting bias by 85 percent in observational data of n=5000. For situations that leave you exposed to unmeasured causes, instrumental variable analysis still nails unobserved confounding in 70 percent of strength tests with F greater than 10.
Data Analytics Industry Statistics
More than 90% of new analytics projects are set to incorporate GenAI by 2026, yet only 24% of organizations have deployed AI in analytics at scale in 2024. This page maps the gap between ambition and execution across budgets, tools, and talent so you can spot where analytics is actually accelerating and where it is still stuck.
Analysing Statistics
See how the latest figures reshape the story behind performance, from where growth actually accelerated to where expectations fell short in 2025. Analysing breaks down the sharpest swings and what they likely mean for the next decisions.
Query Statistics
Query traffic jumped to 132.4 million searches in 2026, but clicks didn’t rise at the same pace, tightening the gap between what people ask and what they find. Check Query statistics to see which intents are driving the biggest misses and how that shift is reshaping results.
Boxplot Statistics
Coming straight from the Boxplot box and whiskers, this page turns the usual “five number summary” into something you can actually use to spot outliers and shifts at a glance, with the latest 2026 figures front and center. You will see how the spread, median, and extremes move together and why that matters when the distribution does not behave the way you expect.