Each capability area is scored as a percentage based on the average response across its diagnostic questions. Scores are then mapped to a traffic-light band: Red for foundational gaps, Amber for partial maturity, and Green for full operational maturity. The composite total determines the organization's overall tier.
Research Report · 2026
The Impact Gap:
Enterprise Innovation
in 2026
A data-led benchmark of how enterprise organizations are building innovation capabilities, and the structural gap between what they invest and what they can prove.
Capability Areas
4 dimensions
Maturity Tiers
3 levels
Published
May 2026
The Argument
Why proving impact is the defining challenge of 2026 and beyond.
Enterprise innovation in 2026 has the strategic intent and the cultural conditions it needs. What it doesn't have is the operational infrastructure to convert intent into measurable impact.
The Pattern
Across our 25-question diagnostic, the five highest-scoring items are all strategic and cultural: strategy alignment, executive sponsorship, customer centricity, failure tolerance, and decentralized innovation. The five lowest-scoring items are all infrastructure: every aspect of the systems that would actually generate evidence of impact.
The Gap
This is the impact gap, the structural distance between what enterprises are putting into innovation and what they can demonstrate coming out of it. The gap between what organizations are willing to invest in innovation and what they can prove is the defining challenge of the next 18 months.
The 4 Capability Areas We Measured
01
Strategy
Strategic alignment, methodology, KPIs, customer focus, diversity, failure tolerance
02
Program
Ideation, research, deal-flow, implementation, change resilience, knowledge sharing
03
Infrastructure
Idea management, projects & portfolio, reporting & analytics, integrations
04
Foundations
Executive sponsorship, budget, structured process, scalability, sustainability
Contents
A structured read of the 2026 innovation landscape.
The report is organized in four parts: an opening argument, the underlying methodology, the headline findings from the data, and a synthesis with practical recommendations. Each section builds on the last to construct a complete picture of where enterprise innovation stands today, and where the impact gap is widest.
Section 01 · Introduction & Methodology
01The Argument · The impact gap framing
P. 02
02Research Sample · Who the data represents
P. 04
03Methodology · 4 capabilities, 3 maturity tiers
P. 05
Section 02 · Findings
04Finding 01 · The Strategy-Execution Split
P. 06
05Finding 02 · The Broken Impact Chain
P. 07
06Finding 03 · The Infrastructure Deficit
P. 08
Section 03 · The Data & Landscape
07The Landscape · Maturity distribution
P. 09
08Segmentation · Maturity by organization size
P. 10
09Capability Profiles · Three recurring patterns
P. 11
Section 04 · Synthesis & Conclusion
10Synthesis · Five patterns that define 2026
P. 14
11Conclusion · From intent to impact
P. 15
12The Path Forward · Three structural shifts
P. 16
13Take the next step · Benchmark your program
P. 17
Methodology
A diagnostic across four capability areas.
Each organization is assessed against 25 diagnostic criteria spanning four capability areas. Scores aggregate into a composite maturity percentage, which places the organization into one of three maturity tiers calibrated against the wider innovation landscape.
Scoring Methodology
The Three Maturity Tiers
TIER 01 · 0–48%
Emerging Innovator
Early-stage organizations with limited structure, inconsistent practices, and foundational gaps across multiple capability areas.
TIER 02 · 49–67%
Innovation Explorer
Organizations with partially developed processes and systems that are beginning to deliver results but lack full integration and scale.
TIER 03 · 68%+
Innovation Trendsetter
High-performing organizations with strong, well-aligned innovation capabilities and the foundations of a cohesive end-to-end ecosystem.
Methodology Notes
- →Data comes from Qmarkets' Innovation Maturity Assessment, completed by innovation leaders across enterprise organizations spanning multiple industries and geographies.
- →Each respondent self-assessed across the four capability areas on a standardized scale. Aggregate findings are from anonymized scores; individual responses are not disclosed.
- →Findings are a benchmark, not a definitive measure. Individual results depend on context, industry, and stage of maturity.
Methodology
About the research sample.
The findings draw on 60 Innovation Maturity Assessments completed by innovation leaders across enterprise organizations. The sample spans North America, Europe and beyond — broad enough to be directional, while carrying the compositional skews any voluntary benchmark does. Those are set out plainly below.
Company Size
Based on the 35 of 60 respondents who disclosed company size.
Geography
Based on respondent location. n = 60.
Respondent Seniority
Classified from job title. n = 58 of 60.
Industry
Manufacturing & Industrial
26%
High Tech
21%
Professional Services
14%
Other Sectors
14%
Energy & Resources
10%
Financial Services & Insurance
10%
Transport & Mobility
5%
Based on the 42 of 60 respondents who disclosed industry.
How to read this sample
Across 60 respondents the data blends Qmarkets customers and the wider market, with no single region or sector dominating. Where company size and industry were optional, a portion of respondents left them blank; those breakdowns are shown on disclosed responses only. Treat the findings as a directional benchmark of enterprise innovation maturity — not a census of it.
Findings
01. The Strategy-Execution Split.
Strategic intent and cultural readiness are running ahead of the operational infrastructure required to deliver impact. When all 25 questions in the diagnostic are ranked by their average response, the result divides cleanly along a single axis. Every question about strategy, sponsorship, or culture scores higher than every question about platform tooling, reporting, or integration. There is no overlap.
5of 5
of the lowest-scoring questions in the 25-question diagnostic are about infrastructure. Every one of the bottom five sits in the same capability layer.
Average Maturity Score, by Capability
020406080100
38%
of organizations have a 15+ percentage-point gap between strategic readiness and operational execution
12pp
average gap between the strategic and foundational layer (61%) and the execution and infrastructure layer (49%)
What it means
Organizations have built the strategic and cultural conditions for innovation faster than the infrastructure to prove it. Without that infrastructure, strategic intent dissipates into activity that never compounds. This is the defining shape of the impact gap.
Findings
02. The Broken Impact Chain.
Three out of four innovation programs leak value somewhere between intent and outcome. A complete program needs five stages working together: aligned strategy, active ideation, implementation, measurement, and scaling. Each scores reasonably alone. Almost none score well across all five.
76%
of organizations have a broken or incomplete impact chain, leaking value at one or more stages between strategic intent and proven outcome.
% of Organizations Strong on Each Funnel Stage
24%
are strong on all five funnel stages: strategy, ideation, implementation, measurement, scaling
64%
of organizations with strategic intent, exec sponsorship, AND active ideation still fail at one or more downstream stages
45%
of executive-sponsored programs cannot measure their own impact
What it means
The impact gap has a specific shape: a leaking funnel. Starting from strategy and pushing forward into execution produces intent without follow-through. The organizations that close the gap work backwards from the outcomes they need to prove, with the instrumentation in place to do it.
Findings
03. The Infrastructure Deficit.
Most organizations are running 2026's innovation strategy on the previous generation's tooling. Across the infrastructure-layer questions (idea management, portfolio, reporting, integrations, open innovation), between 69% and 76% of organizations say they lack each capability. More than half lack all four core capabilities at once.
69%
of organizations lack real-time reporting and analytics, the infrastructure that turns innovation activity into evidence of impact.
% of Organizations Lacking Each Infrastructure Capability
52%
are missing all four core infrastructure capabilities at once
4.14 vs 2.67
measurement scores for organizations with vs without mature integrations. Infrastructure is the upstream cause of measurement maturity
What it means
The infrastructure layer is the upstream cause of the impact gap. Without unified ideation platforms, real-time analytics, and integrated systems, there is nothing for AI or any other intelligence layer to operate on. The infrastructure has to come first.
The Landscape
Most organizations sit in the middle: competent but not cohesive.
When mapped to the three maturity tiers, the bulk of organizations cluster in the middle band. Most have moved beyond the most foundational gaps but have not yet reached a fully integrated, scalable innovation operating model. The space at the top remains thinly populated.
Emerging Innovator
Foundational gaps remain
Foundational gaps in process, tooling, or governance limit scalable impact. Most are still establishing the basic conditions for innovation to take hold across the organization.
Innovation Explorer
Partial maturity · lacks integration
Real momentum has been built, but it's uneven. Strong on strategy and methodology, weaker on infrastructure and integration. Most have working programs but lack the operational layer to scale them.
Innovation Trendsetter
Strong · well-aligned capabilities
Strong, well-aligned capabilities across the board, yet most still have at least one capability area in the developing band. Even the leaders haven't fully closed the gap.
What it means
The dominant story isn't failure or excellence. It's incompleteness. Most organizations have started building, but few have finished. The opportunity for differentiation is to move from "doing innovation" to "scaling innovation."
Segmentation
Scale advantages are real, but not absolute.
When segmented by employee count, the largest enterprises pull ahead, but the relationship between size and maturity is not linear. Smaller organizations occasionally match or exceed mid-market firms, suggesting that focus and agility can compensate for scale. The Innovation Explorer band dominates across every size bracket.
Maturity Tier Mix, by Organization Size
| Organization size | Emerging | Explorer | Trendsetter |
|---|---|---|---|
| 10,000+ employees | 10% | 40% | 50% |
| 5,000 – 10,000 | 18% | 59% | 23% |
| 2,500 – 5,000 | 33% | 50% | 17% |
| 500 – 2,500 | 55% | 36% | 9% |
| 25 – 500 | 21% | 53% | 26% |
What it means
Size correlates with maturity but doesn't determine it. The mid-market is where the gap is most visible: neither small enough to be agile nor large enough to invest at scale. That's exactly the band where the impact gap hits hardest.
Capability Profile · 01
Strong infrastructure, weak strategy.
These organizations have invested in innovation infrastructure but lack the strategic alignment and methodology to generate consistent, measurable results. The systems are in place. The operating model that should drive them is not.
Capability scores
Defining traits
High
Infrastructure
Tooling and systems are in place. These organizations bought the platform before they built the operating model around it.
Low
Strategy
No clear company-aligned innovation direction. Activity happens, but it isn't tied to measurable strategic priorities.
Mid
Foundations
Sponsorship and budget exist in pockets, but executive backing and governance are not yet fully consistent.
Where to focus
-
01Define a clear, company-aligned innovation strategy with measurable KPIs.
-
02Secure executive sponsorship to strengthen alignment and prioritization.
-
03Configure the infrastructure to reflect the defined strategy and support outcome tracking.
Capability Profile · 02
Strong foundations, unstable program.
These organizations have executive sponsorship, budget, and structured process. The foundations are in place. But the program activity that should ride on those foundations is fragmented. Strategy is partial; ideation, deal-flow, and implementation do not yet cohere into a working pipeline.
Capability scores
Defining traits
High
Foundations
Executive sponsorship, budget, and structured process sit well above average. The conditions for scaling are already in place.
Low
Program
Ideation, deal-flow, and implementation are fragmented. Activity produces pilots and one-offs rather than a coherent pipeline.
Mid
Strategy
Direction is partially defined but not yet sharp enough to translate the foundations into consistent outcomes.
Where to focus
-
01Build a structured, multi-use-case program with clear ownership and workflows.
-
02Strengthen strategy by defining ideation funnel, deal-flow, and implementation handoffs.
-
03Use early quick wins to demonstrate value and protect long-term sponsorship.
Capability Profile · 03
Methodical but narrow.
These organizations have strong internal alignment and methodology but apply innovation narrowly, usually a single use-case run well. They lack the breadth that integrates external inputs and diverse opportunity streams into one ecosystem.
Capability scores
Defining traits
High
Strategy
Clear direction, internal alignment, and mature methodology. The single innovation use-case is run with real discipline.
Low
Program
Breadth is missing. External signals like trends, startups, and partnerships rarely feed the pipeline at any meaningful scale.
Mid
Infrastructure
Systems support the one channel that's running well but aren't yet designed to integrate multiple use-cases or external inputs.
Where to focus
-
01Expand beyond a single use-case by incorporating trends, startups, research, and other data sources.
-
02Build out program capabilities (ideation, deal-flow, implementation handoffs) so strategy translates to delivery.
-
03Ensure infrastructure and workflows support multi-use-case integration rather than isolated activity.
Synthesis
The five patterns that define innovation maturity in 2026.
Across every cut of the data, five recurring patterns emerge. Together, they describe the state of enterprise innovation today and the structural shifts the next generation of programs will need to make.
01
Intent runs ahead of evidence.Strategy and Foundations are the strongest dimensions; Program and Infrastructure consistently lag. The activity that should prove the intent is the weakest part.
02
The funnel leaks at every stage.Only 24% of organizations are strong on all five funnel steps: ideation, strategic alignment, implementation, scaling, and measurement. The breaks are evenly distributed, not concentrated at one weak link.
03
Infrastructure is the upstream cause.Measurement, AI-enablement, and scaling all depend on it. Where infrastructure is mature, downstream measurement maturity is 55% higher than where it isn't.
04
External innovation is underdeveloped.72% of organizations lack mature open-innovation capability (scouting, partnerships, ecosystem signals), so most pipelines run on internal ideation alone.
05
Even leaders haven't closed it.Trendsetters score 11+ points higher on Foundations than on Infrastructure. The strategy-execution split persists at the top of the distribution, just at a higher absolute level.
Conclusion
From innovation theater to AI-enabled, impact-driven innovation.
The era of innovation theater is ending. The next generation of innovation programs will be defined not by the volume of ideas they collect, but by the integrity and intelligence of the systems that turn ideas into outcomes.
The trajectory of enterprise innovation
Yesterday
Innovation theater
High activity, low integration. Idea volume mistaken for impact, with little connection between front-end pipeline and back-end measurement. Programs were judged by submissions and events, not by outcomes that compounded over time.
↓
Today
Structured intent
Strategy and foundations are in place. Most organizations have direction, sponsorship, and budget. But execution and infrastructure are still fragmented across disconnected tools and workflows, and impact remains hard to prove at portfolio scale.
↓
The new standard
AI-enabled, impact-driven
Integrated platforms with AI surfacing, scoring, and recommending across the entire portfolio. Strategy, program, infrastructure, and foundations operate as one connected system, with impact measurable by design rather than reconstructed after the fact.
Where we are
Most organizations sit in a mid-range of maturity: strong enough to demonstrate intent, yet fragmented enough to limit impact.
What it signals
The conditions for structured innovation exist. The operating model that turns intent into compounding outcomes does not.
Conclusion · The Path Forward
Three shifts that close the gap.
The organizations that move from emerging maturity to sustained impact will do so by making three structural shifts. Activity to outcomes. Substitution to scale. Fragmentation to ecosystem.
01
Turn emerging maturity into sustained outcomes.
Move beyond pilots and one-offs. Build the operating model that compounds results year over year, where every cycle of innovation activity feeds the next, and where the measurement loop is closed by design rather than retrofitted after the fact.
02
Use AI to scale, not to substitute.
Apply AI to surfacing, scoring, and recommending. Augment human judgment rather than replace program discipline. AI multiplies the throughput of mature operating models; it does not create them. The infrastructure has to be in place first.
03
Connect activities into a single ecosystem.
Close the gap between Program and Infrastructure. Fragmented systems (separate tools for ideation, portfolio, measurement, and partnerships) are the most common blocker between intent and impact. A single connected ecosystem turns innovation into a system rather than a series of projects.
Benchmark your program
A diagnostic built for the new standard.
A structured assessment across all five capability dimensions, including the new AI-readiness dimension. Get your personalized maturity score, tier classification, and a tailored set of recommendations.
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7minAverage time to complete the full assessment across all five capability dimensions.
-
5Capability dimensions measured, including the new AI-readiness dimension introduced in 2026.
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3Tailored recommendations delivered with every report, calibrated to your specific capability profile.
sales@qmarkets.net · qmarkets.net