Spotlight

Report:

The Forrester Wave™: Innovation Consulting Services, Q2 2026

How does Forrester define the Innovation Consulting Services market in 2026?

AI has become the central force reshaping how companies conceive, build, and scale innovation. Organizations are moving from episodic AI experimentation to continuous, AI-enabled innovation systems that deliver measurable outcomes while navigating complexity around governance, talent, and execution. Leading innovation consulting providers distinguish themselves by integrating AI into the core of their innovation methods, helping clients make strategic choices about where to play, and redesigning operating models required to sustain AI-driven innovation at scale. The market now demands providers that can institutionalize innovation as a repeatable, AI-powered capability aligned to business strategy.

Key Facts for The Forrester Wave™: Innovation Consulting Services, Q2 2026 in 2026

How did the Innovation Consulting Services market evolve in 2026?

What product features are required to be included in this year's evaluation?

What are the common features of top products in the Innovation Consulting Services space?

No common features specified.

Scope Exclusions

Inclusion Criteria

Vendors must, among other requirements:

Offering Strengths — Relative Weighting

Strategy Strength — Relative Weighting

FAQs

Q: What does this research cover?

A: This research evaluates the top 10 innovation consulting services providers based on their current offerings, strategy, and customer feedback. It focuses on how providers help organizations move from traditional stage-gate processes to AI-powered innovation systems that deliver measurable outcomes while navigating complexity around governance, talent, and execution.

Q: Who should use this research?

A: This research should be used by organizations seeking to select an innovation consulting services provider that can help them: accelerate innovation with AI, articulate organization-specific innovation strategies aligned with business goals, and reimagine operating models for AI-driven innovation. It serves as a starting point for evaluating providers based on specific organizational priorities and can be adapted using Forrester's interactive provider comparison experience.

Q: What are the mandatory features of vendors included in this market?

A: To be included in this evaluation, innovation consulting providers must have: 1) A dedicated, standalone practice area for innovation consulting that is actively marketed and sold independently; 2) Comprehensive, enterprise-level capabilities supporting full end-to-end innovation consulting across different innovation categories, horizons, and industry sectors; 3) Demonstrated experience with at least 50 completed projects and more than $10 million in innovation services revenue in the past 12 months; and 4) Significant mindshare among Forrester's enterprise clients and recognition from industry peers as a competitive provider in this space.

Q: What are some reasons for not being included in this report?

A:

  • No dedicated standalone innovation consulting practice
  • Innovation services only offered as bundled components of broader transformation programs
  • Insufficient breadth of capabilities across innovation categories, lifecycles, or industry sectors
  • Fewer than 50 completed innovation consulting projects
  • Less than $10 million in annual innovation consulting services revenue
  • Lack of mindshare or recognition among Forrester clients and industry peers
  • Declining to participate in the full Forrester Wave evaluation process

Q: What should buyers consider when evaluating products in this market?

A:

  • Prioritize providers that systematically embed AI into innovation workflows, balancing faster delivery with building internal capabilities
  • Ensure providers can articulate organization-specific innovation strategies that align with business strategy and brand perception
  • Look for providers with deep playbooks to redesign structures, governance, talent models, and ways of working for AI-driven innovation
  • Evaluate providers based on their ability to institutionalize innovation as a repeatable, AI-powered capability
  • Consider whether providers use AI to help execute innovation portfolios more quickly and effectively rather than simply delivering more output
  • Assess providers' ability to navigate growing complexity around governance, talent, and execution in AI-enabled innovation

Q: How has the Innovation Consulting Services market evolved in 2026?

A:

  • AI is no longer a discrete innovation topic but the central force reshaping how companies conceive, build, and scale innovation
  • Organizations are moving from episodic AI experimentation to continuous, AI-enabled innovation systems
  • Acceleration of innovation lifecycles through AI, reshaping competitive dynamics and business models
  • Growing complexity around governance, talent, and execution in AI-driven innovation
  • Shift from stage-gate processes to AI-powered innovation systems
  • Emphasis on making innovation a repeatable, AI-powered capability aligned to business strategy
  • Foundation tasks like research, ideation, and prototyping becoming automated and commoditized
  • Increased demand for transparent ROI metrics and outcome-based contracts for innovation portfolios
  • Need for AI-native operating models and governance frameworks
  • Convergence of physical and digital product innovation with intelligent, sensor-driven spaces

Q: What differentiates Strength of Offering vs. Strength of Strategy?

A: Strength of Offering evaluates a vendor's current capabilities and execution across innovation consulting services, including their ability to deliver across innovation lifecycles, innovation types (digital/physical products, services, business models, process), AI integration into innovation workflows, organizational design, and supporting assets like accelerators, data, and labs. Strength of Strategy assesses a vendor's forward-looking vision for the market, their investments in innovation and R&D, ecosystem partnerships, pricing models, complementary service offerings, and talent development strategies that will position them for future success.

Reference

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