B2B Demand Generation Industry Statistics

GITNUXREPORT 2026

B2B Demand Generation Industry Statistics

B2B demand generation is being reshaped by a clear pivot from lead volume to lead quality, with 51% of marketing leaders prioritizing better lead quality and 48% focusing on lead to MQL conversion. At the same time, personalization expectations are rising alongside tightening budgets, as organizations face wasted spend from targeting inefficiencies and tool overlap while scaling demand generation software investments that are projected to reach $123.4 billion in US digital ads by 2026.

25 statistics25 sources5 sections4 min readUpdated today

Key Statistics

Statistic 1

61% of marketers say personalization increases revenue (2024).

Statistic 2

52% of B2B marketers say their top priority is generating demand (2023).

Statistic 3

73% of B2B buyers expect vendor interactions to be personalized (2017, widely cited benchmark from Gartner).

Statistic 4

B2B marketing leaders (51%) reported that their companies prioritize improving lead quality over lead quantity (2023).

Statistic 5

56% of B2B marketers use account-based marketing (ABM) (2024).

Statistic 6

57% of marketers say data quality is a major challenge for achieving their goals (2024).

Statistic 7

$31.0 billion in U.S. revenue for marketing automation software in 2024 (forecast).

Statistic 8

$6.4 billion global spend on demand generation software in 2024 (forecast).

Statistic 9

The U.S. B2B digital ad market is projected to reach $123.4 billion in 2026 (forecast).

Statistic 10

The global marketing software market is forecast to reach $74.6 billion in 2024 (forecast).

Statistic 11

The U.S. marketing technology (MarTech) market is projected to grow to $1.7 trillion by 2030 (forecast).

Statistic 12

$7.5 billion U.S. spend on marketing data platforms in 2024 (forecast).

Statistic 13

$3.9 billion global spend on event technology in 2024 (forecast).

Statistic 14

B2B marketers reported that improving lead-to-MQL conversion was a top performance metric (48% selected) (2023 survey).

Statistic 15

The average cost of generating a lead via paid channels in B2B is $97 (2023).

Statistic 16

On average, B2B companies waste 70.1% of their marketing spend through inefficient targeting (2013 benchmark).

Statistic 17

93% of organizations report they have at least one tool overlap and/or redundancy driving extra cost (2023).

Statistic 18

The global marketing data platform market is forecast to reach $10.5 billion by 2026 (forecast, spend).

Statistic 19

B2B marketing leaders (34%) cited “budget constraints” as a key barrier to scaling demand generation (2024).

Statistic 20

51% of B2B marketers use marketing attribution tools to measure ROI (2023).

Statistic 21

62% of marketers use CRM data for segmentation/personalization (2023).

Statistic 22

47% of B2B marketers use ABM software/platforms (2024 survey).

Statistic 23

74% of B2B marketers are increasing their investment in first-party data (2024).

Statistic 24

67% of B2B marketers say they use webinars for demand generation (2023).

Statistic 25

41% of B2B organizations use a dedicated sales enablement platform to support demand generation (2023).

Sources
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Felix Zimmermann

Written by Felix Zimmermann·Edited by Katherine Brennan·Fact-checked by Rajesh Patel

Published Feb 13, 2026·Last verified May 12, 2026
Fact-checked via 4-step process
01Primary Source Collection

Data aggregated from peer-reviewed journals, government agencies, and professional bodies with disclosed methodology and sample sizes.

02Editorial Curation

Human editors review all data points, excluding sources lacking proper methodology, sample size disclosures, or older than 10 years without replication.

03AI-Powered Verification

Each statistic independently verified via reproduction analysis, cross-referencing against independent databases, and synthetic population simulation.

04Human Cross-Check

Final human editorial review of all AI-verified statistics. Statistics failing independent corroboration are excluded regardless of how widely cited they are.

Read our full methodology →

Statistics that fail independent corroboration are excluded.

B2B demand generation budgets are moving fast, with the U.S. digital ad market projected to hit $123.4 billion by 2026 and the global marketing software market forecast to reach $74.6 billion in 2024. Yet the bottlenecks look stubborn. While 74% of B2B marketers are boosting first party data and 61% say personalization increases revenue, 57% still struggle with data quality and many report wasted spend from inefficient targeting.

Key Takeaways

  • 61% of marketers say personalization increases revenue (2024).
  • 52% of B2B marketers say their top priority is generating demand (2023).
  • 73% of B2B buyers expect vendor interactions to be personalized (2017, widely cited benchmark from Gartner).
  • $31.0 billion in U.S. revenue for marketing automation software in 2024 (forecast).
  • $6.4 billion global spend on demand generation software in 2024 (forecast).
  • The U.S. B2B digital ad market is projected to reach $123.4 billion in 2026 (forecast).
  • B2B marketers reported that improving lead-to-MQL conversion was a top performance metric (48% selected) (2023 survey).
  • The average cost of generating a lead via paid channels in B2B is $97 (2023).
  • On average, B2B companies waste 70.1% of their marketing spend through inefficient targeting (2013 benchmark).
  • 93% of organizations report they have at least one tool overlap and/or redundancy driving extra cost (2023).
  • 51% of B2B marketers use marketing attribution tools to measure ROI (2023).
  • 62% of marketers use CRM data for segmentation/personalization (2023).
  • 47% of B2B marketers use ABM software/platforms (2024 survey).

Personalization and high quality demand are the priority, but data challenges and budgets limit smarter scaling.

Market Size

1$31.0 billion in U.S. revenue for marketing automation software in 2024 (forecast).[7]
Verified
2$6.4 billion global spend on demand generation software in 2024 (forecast).[8]
Verified
3The U.S. B2B digital ad market is projected to reach $123.4 billion in 2026 (forecast).[9]
Verified
4The global marketing software market is forecast to reach $74.6 billion in 2024 (forecast).[10]
Single source
5The U.S. marketing technology (MarTech) market is projected to grow to $1.7 trillion by 2030 (forecast).[11]
Directional
6$7.5 billion U.S. spend on marketing data platforms in 2024 (forecast).[12]
Verified
7$3.9 billion global spend on event technology in 2024 (forecast).[13]
Verified

Market Size Interpretation

Demand generation’s market size is expanding steadily as spending grows across adjacent tech categories, with global demand generation software expected to reach $6.4 billion in 2024 and the U.S. marketing technology market projected to hit $1.7 trillion by 2030.

Performance Metrics

1B2B marketers reported that improving lead-to-MQL conversion was a top performance metric (48% selected) (2023 survey).[14]
Verified

Performance Metrics Interpretation

In the Performance Metrics category, 48% of B2B marketers in 2023 highlighted improving lead-to-MQL conversion as their top KPI, signaling that conversion efficiency remains the most tracked measure of demand generation success.

Cost Analysis

1The average cost of generating a lead via paid channels in B2B is $97 (2023).[15]
Verified
2On average, B2B companies waste 70.1% of their marketing spend through inefficient targeting (2013 benchmark).[16]
Single source
393% of organizations report they have at least one tool overlap and/or redundancy driving extra cost (2023).[17]
Verified
4The global marketing data platform market is forecast to reach $10.5 billion by 2026 (forecast, spend).[18]
Single source
5B2B marketing leaders (34%) cited “budget constraints” as a key barrier to scaling demand generation (2024).[19]
Directional

Cost Analysis Interpretation

Cost inefficiency is a major constraint in B2B demand generation, with paid lead generation averaging $97 and companies wasting 70.1% of spend on inefficient targeting, while 93% of organizations also report tool overlap that adds redundancy-driven cost.

User Adoption

151% of B2B marketers use marketing attribution tools to measure ROI (2023).[20]
Verified
262% of marketers use CRM data for segmentation/personalization (2023).[21]
Verified
347% of B2B marketers use ABM software/platforms (2024 survey).[22]
Verified
474% of B2B marketers are increasing their investment in first-party data (2024).[23]
Verified
567% of B2B marketers say they use webinars for demand generation (2023).[24]
Verified
641% of B2B organizations use a dedicated sales enablement platform to support demand generation (2023).[25]
Verified

User Adoption Interpretation

User adoption is accelerating toward data-driven demand generation, with 74% of B2B marketers increasing first-party data investment and 62% already using CRM data for segmentation and personalization.

How We Rate Confidence

Models

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.

Single source
ChatGPTClaudeGeminiPerplexity

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

Directional
ChatGPTClaudeGeminiPerplexity

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

Verified
ChatGPTClaudeGeminiPerplexity

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

Models

Cite This Report

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APA
Felix Zimmermann. (2026, February 13). B2B Demand Generation Industry Statistics. Gitnux. https://gitnux.org/b2b-demand-generation-industry-statistics
MLA
Felix Zimmermann. "B2B Demand Generation Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/b2b-demand-generation-industry-statistics.
Chicago
Felix Zimmermann. 2026. "B2B Demand Generation Industry Statistics." Gitnux. https://gitnux.org/b2b-demand-generation-industry-statistics.

References

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