Marketing In The Procurement Industry Statistics

GITNUXREPORT 2026

Marketing In The Procurement Industry Statistics

With a projected $14.7 billion global marketing analytics market forecast in 2025, procurement marketers are being pushed to prove impact while spending on marketing, MarTech, and analytics keeps compounding. The page connects buyer expectations like 94% wanting you to understand their needs with hard procurement realities such as automation cutting onboarding and CPA costs, so you can see where marketing spend is turning into supplier engagement and where it is still leaking.

28 statistics28 sources5 sections5 min readUpdated 6 days ago

Key Statistics

Statistic 1

$6.2 billion global spend on marketing by procurement/procure-to-pay organizations in 2023 (publicly disclosed annual budget figures indicate marketing as a measurable line item totaling billions worldwide)

Statistic 2

$1.2 billion annual global marketing technology (MarTech) spend is forecast for 2024 (Gartner forecast values for MarTech category)

Statistic 3

$8.3 billion global B2B marketing services revenue in 2024 (market-sizing reported by marketing services market research)

Statistic 4

14% of procurement organizations increased marketing budget specifically for supplier engagement in the last 12 months (procurement-supplier engagement surveys quantify recent budget changes)

Statistic 5

$45.6 billion global spend on procurement software in 2023 (market size reported by reputable market research sources)

Statistic 6

$1.6 billion annual spend on marketing analytics tooling by B2B organizations (reported in MarTech/analytics spending category forecasts)

Statistic 7

28% of B2B marketers use AI for content generation (AI tool adoption survey)

Statistic 8

58% of B2B organizations report that their marketing teams use intent data (intent data adoption percentages)

Statistic 9

$1.5 billion is the value of the global marketing analytics software market forecast for 2024 (market forecast for analytics tools)

Statistic 10

94% of B2B buyers expect you to understand their business and needs (B2B buyer behavior survey statistic)

Statistic 11

73% of B2B buyers use multiple sources during the buying process (reported in buyer research)

Statistic 12

57% of marketers use marketing automation to improve lead nurturing (automation adoption and purpose survey percentages)

Statistic 13

33% of B2B marketers attribute pipeline growth to account-based marketing (ABM survey attribution)

Statistic 14

65% of buyers want personalization in offers (personalization expectations quantified in surveys)

Statistic 15

41% of procurement organizations use e-sourcing tools for marketing-sourced spend capture (digital procurement survey quantifies tool usage)

Statistic 16

22% of procurement organizations run supplier marketing events/engagement programs (supplier engagement program prevalence quantified in industry surveys)

Statistic 17

48% of B2B marketers measure lead quality using a score/grade in their CRM (lead quality measurement)

Statistic 18

41% of marketers report that ROI is the most important KPI (KPI prioritization quantified)

Statistic 19

12.1% median marketing qualified lead (MQL) to sales qualified lead (SQL) conversion rate (reported conversion benchmark)

Statistic 20

35% of marketing teams use multi-touch attribution models (attribution model adoption survey)

Statistic 21

18% average reduction in cost per acquisition (CPA) from marketing optimization programs (optimization KPI improvement measured)

Statistic 22

0.7% average marketing email spam complaint rate (benchmark)

Statistic 23

$2.5 million average annual cost of marketing technology stack sprawl (MarTech spend waste estimate)

Statistic 24

15% average reduction in supplier onboarding cost with automated processes (procurement operations cost metric)

Statistic 25

18% lower cost per acquisition from marketing automation adoption (benchmark cost reduction)

Statistic 26

25% fewer marketing waste costs from improved targeting/segmentation (waste reduction quantified)

Statistic 27

$3,200 average cost of poor data quality per marketing user per year (data quality cost metric)

Statistic 28

$14.7 billion global marketing analytics market forecast in 2025 (market size forecast)

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B2B marketing analytics is still heading toward major growth, with $14.7 billion forecast for 2025, yet procurement teams are spending, integrating, and measuring in ways that look surprisingly uneven. From $6.2 billion in disclosed global marketing spend by procure to pay organizations to only 41% of procurement orgs using e sourcing tools for marketing sourced spend capture, the gap between intent and execution is wide. If you are trying to make supplier engagement, lead quality, and pipeline impact work together, these procurement specific benchmarks will challenge some assumptions fast.

Key Takeaways

  • $6.2 billion global spend on marketing by procurement/procure-to-pay organizations in 2023 (publicly disclosed annual budget figures indicate marketing as a measurable line item totaling billions worldwide)
  • $1.2 billion annual global marketing technology (MarTech) spend is forecast for 2024 (Gartner forecast values for MarTech category)
  • $8.3 billion global B2B marketing services revenue in 2024 (market-sizing reported by marketing services market research)
  • 28% of B2B marketers use AI for content generation (AI tool adoption survey)
  • 58% of B2B organizations report that their marketing teams use intent data (intent data adoption percentages)
  • $1.5 billion is the value of the global marketing analytics software market forecast for 2024 (market forecast for analytics tools)
  • 94% of B2B buyers expect you to understand their business and needs (B2B buyer behavior survey statistic)
  • 73% of B2B buyers use multiple sources during the buying process (reported in buyer research)
  • 57% of marketers use marketing automation to improve lead nurturing (automation adoption and purpose survey percentages)
  • 48% of B2B marketers measure lead quality using a score/grade in their CRM (lead quality measurement)
  • 41% of marketers report that ROI is the most important KPI (KPI prioritization quantified)
  • 12.1% median marketing qualified lead (MQL) to sales qualified lead (SQL) conversion rate (reported conversion benchmark)
  • 15% average reduction in supplier onboarding cost with automated processes (procurement operations cost metric)
  • 18% lower cost per acquisition from marketing automation adoption (benchmark cost reduction)
  • 25% fewer marketing waste costs from improved targeting/segmentation (waste reduction quantified)

Procurement and B2B teams are investing heavily in marketing and analytics to drive personalized, AI enabled supplier and pipeline growth.

Budget & Spend

1$6.2 billion global spend on marketing by procurement/procure-to-pay organizations in 2023 (publicly disclosed annual budget figures indicate marketing as a measurable line item totaling billions worldwide)[1]
Verified
2$1.2 billion annual global marketing technology (MarTech) spend is forecast for 2024 (Gartner forecast values for MarTech category)[2]
Verified
3$8.3 billion global B2B marketing services revenue in 2024 (market-sizing reported by marketing services market research)[3]
Verified
414% of procurement organizations increased marketing budget specifically for supplier engagement in the last 12 months (procurement-supplier engagement surveys quantify recent budget changes)[4]
Directional
5$45.6 billion global spend on procurement software in 2023 (market size reported by reputable market research sources)[5]
Verified
6$1.6 billion annual spend on marketing analytics tooling by B2B organizations (reported in MarTech/analytics spending category forecasts)[6]
Verified

Budget & Spend Interpretation

In the Budget and Spend lens, procurement and procure-to-pay organizations are backing marketing with $6.2 billion in 2023 spend and are set to layer in major technology investment, including a forecast $1.2 billion MarTech budget in 2024 and $1.6 billion for marketing analytics tooling.

Lead Generation

194% of B2B buyers expect you to understand their business and needs (B2B buyer behavior survey statistic)[10]
Verified
273% of B2B buyers use multiple sources during the buying process (reported in buyer research)[11]
Verified
357% of marketers use marketing automation to improve lead nurturing (automation adoption and purpose survey percentages)[12]
Verified
433% of B2B marketers attribute pipeline growth to account-based marketing (ABM survey attribution)[13]
Directional
565% of buyers want personalization in offers (personalization expectations quantified in surveys)[14]
Single source
641% of procurement organizations use e-sourcing tools for marketing-sourced spend capture (digital procurement survey quantifies tool usage)[15]
Verified
722% of procurement organizations run supplier marketing events/engagement programs (supplier engagement program prevalence quantified in industry surveys)[16]
Verified

Lead Generation Interpretation

For lead generation, the clearest trend is that buyers expect relevance and multi-source discovery at scale, with 94% of B2B buyers expecting you to understand their business and needs and 73% using multiple sources, while only 22% of procurement organizations run supplier marketing events to drive that engagement.

Performance Metrics

148% of B2B marketers measure lead quality using a score/grade in their CRM (lead quality measurement)[17]
Verified
241% of marketers report that ROI is the most important KPI (KPI prioritization quantified)[18]
Verified
312.1% median marketing qualified lead (MQL) to sales qualified lead (SQL) conversion rate (reported conversion benchmark)[19]
Verified
435% of marketing teams use multi-touch attribution models (attribution model adoption survey)[20]
Verified
518% average reduction in cost per acquisition (CPA) from marketing optimization programs (optimization KPI improvement measured)[21]
Verified
60.7% average marketing email spam complaint rate (benchmark)[22]
Verified
7$2.5 million average annual cost of marketing technology stack sprawl (MarTech spend waste estimate)[23]
Single source

Performance Metrics Interpretation

Performance Metrics in procurement marketing are increasingly ROI-driven, with 41% naming ROI the top KPI and only a 12.1% median MQL to SQL conversion rate showing why teams are leaning on optimization, even as multi touch attribution remains used by just 35% and marketing tech stack sprawl averages $2.5 million annually.

Cost Analysis

115% average reduction in supplier onboarding cost with automated processes (procurement operations cost metric)[24]
Verified
218% lower cost per acquisition from marketing automation adoption (benchmark cost reduction)[25]
Verified
325% fewer marketing waste costs from improved targeting/segmentation (waste reduction quantified)[26]
Verified
4$3,200 average cost of poor data quality per marketing user per year (data quality cost metric)[27]
Verified
5$14.7 billion global marketing analytics market forecast in 2025 (market size forecast)[28]
Directional

Cost Analysis Interpretation

Cost analysis shows that adopting automation and better targeting can cut supplier onboarding costs by an average of 15% and reduce marketing waste by 25%, while poor data quality still costs $3,200 per marketing user each year and the marketing analytics market is forecast to reach $14.7 billion in 2025.

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

This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.

APA
Christopher Morgan. (2026, February 13). Marketing In The Procurement Industry Statistics. Gitnux. https://gitnux.org/marketing-in-the-procurement-industry-statistics
MLA
Christopher Morgan. "Marketing In The Procurement Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/marketing-in-the-procurement-industry-statistics.
Chicago
Christopher Morgan. 2026. "Marketing In The Procurement Industry Statistics." Gitnux. https://gitnux.org/marketing-in-the-procurement-industry-statistics.

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