PatSnap Releases 2026 R&D Benchmark Report, Revealing the Intelligence Gap Costing Innovation Teams Millions
A new survey of 200+ senior R&D leaders finds that AI adoption has outpaced the intelligence infrastructure needed to make it effective, and that the gap is widest among organizations using AI most.
PatSnap, the AI-native innovation intelligence company for IP and R&D teams, today released its "2026 R&D Benchmark Report: Waste, AI and the Race to Market." The report draws on responses from more than 200 senior R&D professionals across North America, the U.K., and Europe, spanning nine industries, all with annual R&D budgets of at least $50 million.
PatSnap commissioned the research to quantify what its customers have long described: that even well-resourced, AI-enabled R&D organizations are making consequential decisions on incomplete intelligence, and paying for it. The findings confirm that the problem is structural, measurable, and addressable.
"We commissioned the '2026 R&D Benchmark Report' because our customers kept describing the same problem: their AI was capable, but the intelligence feeding it was not keeping pace. We wanted to know whether that was isolated frustration or a reality across the market,” said Jason Resnick, General Manager, PatSnap West. “The data confirmed it was consistent across every industry and budget level we surveyed. Patent landscapes shift. Competitive pipelines move. Intelligence that was accurate last quarter can send a team in the wrong direction. In R&D, the cost of acting on incomplete intelligence is not a delayed report. It is months of work that cannot be recovered."
Key findings include:
- R&D waste is significant and recurring: More than a third of organizations (37%) spend between 25% and 40% of their entire R&D budget on projects that never reach the market. When projects are terminated late in development or testing, 45% of respondents estimate the wasted investment at $1 million or more per project.
- Most projects don't make it: Nearly three quarters of respondents (73%) report that half or fewer of their initiated R&D projects ultimately reach market launch.
- AI adoption is near-universal, but the intelligence gap persists: 92% of respondents are using AI in their R&D process at least moderately, and 70% say implementations have been largely successful. Among the heaviest AI users, 54% say better, faster access to intelligence would still have the greatest impact on their R&D success, a higher rate than among moderate users (43%).
Alongside the report, PatSnap is launching an interactive R&D Benchmark Calculator that allows organizations to compare their own spending and project outcomes directly against survey respondents. Users can input details including their industry, annual R&D spend, the share of projects reaching market, average development cycle length, and typical project cost, to understand how their organization stacks up against peers across the survey.
Download the report: "2026 R&D Benchmark Report: Waste, AI and the Race to Market"
About PatSnap
Founded in Singapore in 2007, PatSnap is a leading global innovation intelligence company. Leveraging domain-specific AI agents and robust analytics tools, PatSnap empowers IP and R&D teams to unlock insights, accelerate discoveries and protect breakthroughs. Trusted by nearly 20,000 enterprises, law firms and research institutions in over 50 countries including one-third of the world’s largest R&D spenders, PatSnap transforms how organizations innovate and make critical decisions. Learn more at www.patsnap.com.
Media Contact
Kate White
media@patsnap.com