RFP Statistics 2026: 50+ Win Rates, Response Times & Benchmarks
The average RFP win rate is 45%, the average response time is 25 hours, and 68% of proposal teams now use AI. Below are 50+ citeable RFP statistics compiled from industry reports.
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Key RFP Statistics at a Glance
RFP Win Rate Statistics
Win rates vary significantly by company size, industry, and strategic approach. Here are the latest benchmarks:
Average RFP Win Rate by Company Size
- Enterprise (5,000+ employees)47%
- Mid-Market (500–4,999)45%
- SMB (under 500)42%
- Overall Average45%
Average RFP Win Rate by Region
- United Kingdom46%
- United States45%
- Global Average45%
Source: Loopio 2025 RFP Trends Report
Average RFP Win Rate by Industry
Source: Loopio 2025 RFP Trends Report
Key Finding: The average RFP win rate increased from 43% in 2024 to 45% in 2025, representing the largest year-over-year improvement in the past five years. Top-performing teams report win rates of 60% or higher.
Source: Loopio 2025 RFP Trends Report
RFP Response Time Statistics
How long does it take to respond to an RFP? Here are the latest benchmarks by company size, industry, and methodology:
Source: Loopio RFP Statistics Report
Average RFP Response Time by Industry
Source: Loopio RFP Statistics Report
Content Reuse & Proposal Automation Savings
How much time can proposal automation save? Content reuse and automation are the biggest drivers of faster response times and lower costs.
Content Reuse Statistics
- 66%of content is reused across proposals by teams with a content library
- 40%more time spent writing from scratch by teams without a content library
- 80%of top-performing teams maintain an active content library
Source: Loopio 2025 RFP Trends Report
Proposal Automation Time Savings
- 40–60%average reduction in response time with proposal automation software
- 3,000+hours saved per year for a team handling 153 RFPs (industry average)
- 61%of organizations achieve ROI within 1 year of implementing RFP software
Source: Responsive RFP Benchmarks
Key Finding: Teams using AI-powered proposal software report reducing 25-hour responses to under 5 hours — a savings of approximately 20 hours per proposal. Content reuse is the single biggest driver of faster response times.
Source: Responsive RFP Benchmarks
RFP Revenue Impact Statistics
Organizations report that RFPs contribute an average of 39% of total company revenue, making proposal management a critical business function.
About 20% of RFPs go unfinished annually, representing significant lost revenue opportunity for understaffed teams.
Source: Loopio 2025 RFP Trends Report
Average RFP Revenue by Industry
- Healthcare$1.05 billion
- Advertising & Publishing$499 million
- Telecom$380 million
- Technology$256 million
Source: Loopio 2025 RFP Trends Report
RFP Team Statistics
Average RFP Team Size
- Enterprise14 people
- Mid-Market9 people
- SMB4 people
- Overall Average8 people
Source: Loopio 2025 RFP Trends Report
Team Ownership Trends
- Dedicated proposal team43%
- Sales-led RFP process51%
- Avg contributors per RFP9 people
Dedicated proposal teams decreased from 56% in 2023 to 43% in 2024. Source: Loopio RFP Statistics
RFP Software & AI Adoption Statistics
The Rise of AI in Proposal Management
Source: Loopio 2025 RFP Trends Report, Responsive RFP Benchmarks
Software Impact on Performance
- 24% higher satisfaction with ability to respond to RFPs
- 23% higher satisfaction with completion time
- 22% higher satisfaction with proposal win rate
- 61% achieve ROI within 1 year of implementation
Frequently Asked Questions
What is the average RFP win rate?
The average RFP win rate is 45% as of 2025, up from 43% in 2024. Enterprise companies (5,000+ employees) average 47%, mid-market companies average 45%, and SMBs average 42%. Top-performing teams achieve win rates of 60% or higher by using dedicated proposal software, maintaining content libraries, and applying bid/no-bid qualification frameworks.
How long does it take to respond to an RFP?
The average time to respond to an RFP is 25 hours, down 17% from 30 hours in 2024. SMBs are fastest at 20 hours, while enterprise teams average 30+ hours due to more stakeholders and compliance requirements. 64% of teams complete responses in under 10 days. Teams using proposal automation software reduce this to under 5 hours.
How much time can proposal automation save?
Proposal automation saves an average of 40–60% of response time. Teams using AI-powered proposal software report reducing 25-hour responses to under 5 hours — a savings of approximately 20 hours per proposal. For a team handling 153 RFPs per year (the industry average), that equals over 3,000 hours saved annually, or roughly 1.5 full-time employees.
What is the average RFP content reuse rate?
The average RFP content reuse rate is 60–80% for teams with an active content library. Organizations with a content library reuse 66% of content across proposals on average. Teams without a content library spend 40% more time writing responses from scratch. Content reuse is the single biggest driver of faster response times and is strongly correlated with higher win rates.
How much revenue do RFPs generate?
RFPs generate an average of $256 million in annual revenue per organization, representing 39% of total company revenue. Healthcare organizations report the highest at $1.05 billion, followed by advertising at $499 million and telecom at $380 million. About 20% of RFPs go unfinished each year, representing approximately $725,000 in lost revenue per organization.
What percentage of proposal teams use AI?
68% of proposal teams now use generative AI, doubled from 34% in 2023. Among AI adopters, 32% use it daily. 65% of teams use dedicated RFP software (up from 48% in 2024). Teams using RFP software report 24% higher satisfaction with their ability to respond to RFPs and 22% higher satisfaction with their proposal win rates.
How to Cite This Data
Feel free to use these statistics in your articles, presentations, and reports. Please cite as:
Data compiled from Loopio 2025 RFP Trends Report, Responsive RFP Benchmarks, and industry research.
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