Key Takeaways
- 74% of B2B buyers say they use digital channels to make purchase decisions, per Gartner (2019)
- B2B organizations that use personalization are 2.3x more likely to increase their revenue, per Salesforce research (2019)
- 47% of buyers say they engage with content during the evaluation stage, per Gartner (2020)
- B2B companies that use account-based marketing (ABM) reported 1.6x higher average deal size than those that don’t, per Terminus research (2020)
- B2B marketers using marketing analytics report 5.3x higher marketing ROI, per Aberdeen Group (2014)
- B2B organizations that have aligned sales and marketing teams are 38% more likely to report improved lead quality, per Demand Gen Report (2018)
- 68% of marketers say they are already using AI in marketing or plan to do so soon, per HubSpot State of Marketing report (2024)
- Video marketing is used by 81% of B2B businesses, per Wyzowl (2023)
- B2B marketers that prioritize data quality are 2.8x more likely to be confident in their marketing performance, per Experian (2020)
- B2B marketers are using marketing automation to drive lead management at 70% (2022)
- 63% of B2B organizations use marketing automation in 2024, per a 2024 survey cited by Datanyze (2024)
- B2B marketers using marketing automation report 14.5% average conversion lift, per Luma (2021)
- B2B lead generation costs average $11,467 per year per marketer in the U.S., per a 2023 Databox calculation using HubSpot benchmarks (2023)
- Worldwide B2B marketing spend is expected to reach $1.7 trillion by 2025, per Gartner (forecast) (2021)
- Global marketing technology (MarTech) spending is projected to reach $1.1T by 2025 (forecast), per Gartner (2022)
B2B buyers rely on digital research, and data driven tactics like ABM, automation, and personalization lift revenue.
Related reading
Buyer Behavior
Buyer Behavior Interpretation
Attribution & ROI
Attribution & ROI Interpretation
More related reading
Industry Trends
Industry Trends Interpretation
Performance Benchmarks
Performance Benchmarks Interpretation
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Cost Analysis
Cost Analysis Interpretation
Market Size
Market Size Interpretation
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Budget & Spend
Budget & Spend Interpretation
Performance Metrics
Performance Metrics Interpretation
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User Adoption
User Adoption Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
Timothy Grant. (2026, February 13). B2B Marketing Statistics. Gitnux. https://gitnux.org/b2b-marketing-statistics
Timothy Grant. "B2B Marketing Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/b2b-marketing-statistics.
Timothy Grant. 2026. "B2B Marketing Statistics." Gitnux. https://gitnux.org/b2b-marketing-statistics.
References
- 1gartner.com/en/newsroom/press-releases/2019-07-18-gartner-reveals-74-of-b2b-buyers-enterprise-will-use-digital-self-service-to-complete-purchases
- 3gartner.com/en/documents/3996799
- 4gartner.com/en/documents/3761283
- 14gartner.com/en/articles/generative-ai-s-impact-on-marketing-operations
- 20gartner.com/en/newsroom/press-releases/2021-12-15-gartner-forecast-b2b-marketing-spending
- 21gartner.com/en/newsroom/press-releases/2022-11-07-gartner-forecasts-worldwide-end-user-spending-on-technology-for-advertising-and-marketing-to-grow
- 25gartner.com/en/articles/cmo-spend-forecast-2024
- 30gartner.com/en/documents/3983904/customer-data-platforms
- 2salesforce.com/content/dam/web/en_us/www/documents/research/State-of-the-connected-customer.pdf
- 5demandgenreport.com/wp-content/uploads/2020/04/2020-b2b-customer-journey-research-report.pdf
- 9demandgenreport.com/wp-content/uploads/2018/01/2018-B2B-Lead-Generation-Benchmark-Report.pdf
- 6g2.com/reports/b2b-buyers-statistics
- 7terminus.com/resources/abm-statistics/
- 8aberdeen.com/summary/marketing-analytics-2014/
- 10hubspot.com/state-of-marketing
- 11wyzowl.com/video-marketing-statistics/
- 12experian.com/marketing-services/resources/2020-marketing-data-quality-report
- 13on24.com/resources/webinars-for-b2b-marketing
- 18on24.com/resources/webinar-statistics
- 15reportlinker.com/p06515539/marketing-automation-software-market.html
- 16datanyze.com/companies/marketing-automation/usage-statistics
- 17luminoustechnologies.com/marketing-automation-conversion-rate-statistics/
- 19databox.com/lead-generation-statistics
- 22marketsandmarkets.com/Market-Reports/marketing-automation-market-689.html
- 23grandviewresearch.com/industry-analysis/marketing-automation-market
- 24fortunebusinessinsights.com/abm-software-market-102823
- 26ibm.com/topics/marketing-automation
- 27idc.com/getdoc.jsp?containerId=US51500124
- 28capterra.com/resources/marketing-analytics-trends/
- 29scribd.com/document/510782580/ABM-Benchmarks-2020







