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R&D Benchmark Report 2026 | PatSnap
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R&D Benchmark Report 2026

Waste, AIand the Raceto Market

More than 200 senior R&D leaders across North America, the UK and Europe share where budgets are being lost, why strong projects fail to reach market, and what the organisations pulling ahead are doing differently.

37%
of R&D budgets spent on projects that never launch
52%
say fewer than half of initiated projects ever reach market
$5M
lost per late-stage project shutdown on average
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Inside the report
The R&D Benchmark Report 2026
Key Findings
37%
spend 25-40% of R&D budget on failed projects
92%
using AI moderately or extensively in R&D
52%
say fewer than half of their projects reach market
28%

rank accelerating time-to-market as their top strategic priority

29%

say faster time-to-market is their biggest R&D pressure today

26%

say lack of early-stage funding is where viable ideas fail

23%

cite cross-functional alignment as their biggest obstacle to market

50%

say their average development cycle is 1-2 years

46%

say better intelligence access would have the biggest impact

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How much of your R&D budget
is going to waste?

Enter your budget, project success rate and development cycle to get an instant estimate of how much is being lost and see how you compare to your sector average from the survey.

Instant dollar estimate of wasted R&D spend
Sector-by-sector benchmark comparison
Personalised insights based on your inputs
Based on responses from 200+ R&D leaders
Calculate Your R&D Waste →

Free. No login required. Results in under a minute.

Estimated annual R&D waste
$129M
based on your sector average
35% reaches market
$1M-$3M per late-kill
How you compare to your sector
Projects reaching market
35% vs ~39%
Avg development cycle
18mo vs ~25mo
Avg cost per project
$5M vs ~$750K
33% is the average waste rate for your sector. The gap to top performers is closed primarily through earlier-stage decisions.
What’s inside

What 200+ R&D leaders revealed
about where innovation stalls

The report examines where R&D waste originates, why projects fail, and where AI is and is not yet closing the intelligence gap.

Chapter 01

The Pressure to Innovate Faster

How competition and AI are compressing the window between innovation and obsolescence, and what the commercial cost of moving slowly looks like.

Chapter 02

Understanding Why R&D Projects Fail

Where investment is being lost, why IP issues keep surfacing too late, and what the data reveals about where viable ideas stall.

Chapter 03

The Intelligence Gap

Why organizations are spending close to two working days a week on intelligence that is still not ready to act on.

Chapter 04

Accelerating Speed-to-Market with AI

Where AI is already making a difference, where it is not, and what separates the organizations realizing its full potential.

We are at a pivotal moment in history because of AI. If you can’t do things fast, then you are going to lose, so speed is going to be a major competitive factor going forward.

Gitte Pedersen, CEO and Co-founder, Genomic Expression

92%
are using AI in R&D at least moderately
50%
cite data quality as the primary barrier to deeper adoption
52%
say earlier identification of non-viable projects would most improve productivity
54%
of extensive AI users still say better intelligence would have the greatest impact

See where your organisation stands.

Get the Free Report →
Free Download

Get the R&D Benchmark Report 2026

Complete the form to download the full report instantly.