Marketing technology spending is projected to hit $68.8 billion globally in 2025 while US ad budgets still lean on Meta campaigns averaging just 3.1% conversion. At the same time, 56% of marketers already use AI for content creation and 52% report using lead scoring, yet 25% say budget constraints limit personalization and 1.3 billion in estimated US marketing spend risk is tied to cookie deprecation. The result is a sharp tension between bigger stacks and harder measurement, which these statistics in the information industry help untangle.
Key Takeaways
- $15.3 billion US marketing technology spending in 2024
- $15.9 billion US marketing technology spending forecast for 2025
- $63.9 billion global marketing technology spending in 2024
- 1.1 billion monthly active users on Facebook (Meta) in 2024
- 56% of marketers report using AI for marketing content creation
- 3.2x higher conversion rates for customers who are targeted with personalization
- 52% of marketers said their organization uses lead scoring
- 3.1% average conversion rate across Meta ads campaigns
- 64% of marketers say personalization improves customer experience
- $7.91 million average cost of a data breach in the US in 2023
- 20% cost reduction from using marketing automation workflows (survey result)
- $6.1 billion worldwide marketing automation spending forecast for 2024
Marketing technology is accelerating fast, with AI and automation lifting performance as spending and personalization rise.
Related reading
Market Size
1$15.3 billion US marketing technology spending in 2024[1]
Verified
2$15.9 billion US marketing technology spending forecast for 2025[2]
Verified
3$63.9 billion global marketing technology spending in 2024[3]
Directional
4$68.8 billion global marketing technology spending forecast for 2025[4]
Verified
Market Size Interpretation
For the market size category, marketing technology is projected to grow from $63.9 billion globally in 2024 to $68.8 billion in 2025, with US spending rising from $15.3 billion to $15.9 billion over the same period.
More related reading
Industry Trends
11.1 billion monthly active users on Facebook (Meta) in 2024[5]
Verified
256% of marketers report using AI for marketing content creation[6]
Verified
33.2x higher conversion rates for customers who are targeted with personalization[7]
Verified
Industry Trends Interpretation
For industry trends in marketing within the information industry, marketers are increasingly leaning on AI for content creation, with 56% already using it, and pairing that capability with personalization that drives 3.2x higher conversion rates.
More related reading
Performance Metrics
152% of marketers said their organization uses lead scoring[8]
Verified
23.1% average conversion rate across Meta ads campaigns[9]
Directional
364% of marketers say personalization improves customer experience[10]
Verified
418% increase in conversion rates from using marketing automation software[11]
Directional
5$100+ million annual US spend on customer data platforms (CDPs) in 2024[12]
Verified
625% average lift in email revenue from segmented campaigns[13]
Verified
764% of marketers say email marketing has the best ROI compared with other channels[14]
Verified
Performance Metrics Interpretation
Performance-focused marketing in the information industry is clearly paying off, with marketers reporting standout gains like a 25% average lift in email revenue from segmented campaigns and a 18% increase in conversion rates from marketing automation software.
More related reading
Cost Analysis
1$7.91 million average cost of a data breach in the US in 2023[15]
Single source
220% cost reduction from using marketing automation workflows (survey result)[16]
Verified
3$6.1 billion worldwide marketing automation spending forecast for 2024[17]
Verified
4$5.0 billion worldwide CRM software market in 2024 (spend category)[18]
Verified
5$3.8 billion worldwide CDP market size forecast for 2024[19]
Verified
6$1.3 billion estimated US marketing spend risk from cookie deprecation impacts in 2024[20]
Verified
725% of marketers say budget constraints limit their ability to personalize campaigns[21]
Single source
82.6x increase in marketing spend when using generative AI tools for content production (survey result)[22]
Verified
9$22.4 million median annual cost of customer acquisition for B2B companies (US, 2023 survey)[23]
Single source
10$1.6 million average annual cost of inefficient lead management (industry estimate)[24]
Verified
1114% of organizations reported higher CRM licensing costs in 2024[25]
Verified
1238% of marketers say they increased spending on content production in 2024[26]
Verified
1334% of marketers say they increased spending on marketing data and analytics in 2024[27]
Verified
Cost Analysis Interpretation
For the cost analysis of marketing in the information industry, organizations face mounting spend and risk as the average cost of a US data breach reached $7.91 million in 2023 while marketing automation is forecast to drive $6.1 billion in 2024 spending and CRM and CDP markets add further pressure, including $1.3 billion in estimated US marketing spend risk from cookie deprecation in 2024.
More related reading
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
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
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
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
Leah Kessler. (2026, February 13). Marketing In The Information Industry Statistics. Gitnux. https://gitnux.org/marketing-in-the-information-industry-statistics
MLA
Leah Kessler. "Marketing In The Information Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/marketing-in-the-information-industry-statistics.
Chicago
Leah Kessler. 2026. "Marketing In The Information Industry Statistics." Gitnux. https://gitnux.org/marketing-in-the-information-industry-statistics.
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