The Forrester Wave™: AI Consulting Services, Q2 2026

AI Consulting Services Vendor Product Comparisons 2026

Key features and pros and cons of top AI Consulting Services products:

Accenture - Leaders

Pros:

Excels in business strategy development, with a focus on process reinvention and instilling an adaptive mindset
Excellent AI delivery toolkit with GenWizard delivery platform and SynOps operations platform
Superior full-stack reinvention vision and innovation roadmap to cultivate a portfolio of industry blueprints (AI Industrial Suite)
Extensive partner ecosystem including dedicated business units for cloud and language model providers

Cons:

Customers would welcome clearer project handoffs from strategy to delivery
Need for stronger governance and cost discipline in sustained operations
On par with peers for AI operations, governance, security, and compliance rather than leading in these areas

EY - Leaders

Pros:

Superior vision that AI will shift companies' strategies from centralized platforms to new business models built on proprietary knowledge
Superior capabilities to help clients scale their AI portfolio and set up AI operations
Excels in establishing AI governance and securing the system based on its role as an auditor and in regulated industries
$1.3 billion investment in innovation roadmap with goal of making expertise a reusable asset

Cons:

Customers would like improvements in EY's ability to 'challenge us earlier'
Need for more coordination across their EY engagements
Moving to results-based pricing with firmwide goal of 40% by 2028, currently on par with peers

IBM - Leaders

Pros:

Superior business strategy and value management capabilities, with focus on initiatives where technology is ready to deliver results
Excels in AI architecture and data and model engineering, creating private models for clients doing AI-accelerated product development
Best-in-class partner ecosystem which makes up 40% of consulting revenue
Early to build IBM Consulting Advantage and marketplace platforms to accelerate delivery

Cons:

Customers would like IBM to improve consistency in change management to better support the shift to a sustainable operating model
Lags in pricing transparency, as commercial models are largely T&M and fixed-price
Below par in process reinvention, where its library of blueprints lags others

PwC - Leaders

Pros:

Top marks in value management, AI operations, and AI architecture by building in FinOps at the front
Excels in change management, applying lessons from its own deployment of Microsoft Copilot to 230,000 employees with double-digit productivity gains
Superior mix of traditional and results-based pricing, putting fees at risk in third of engagements
Excellent talent strategy with access to onshore, nearshore, and offshore labor (12 delivery centers)

Cons:

Customers would like to see more competitive pricing
Need for greater continuity in project teams
Customers desire more insights into best practices from other industries

Boston Consulting Group - Strong Performers

Pros:

Excels in process reinvention with portfolio of industry and process assets to accelerate transformations
Excels in pricing strategy, putting fees at risk in most engagements
Solid business strategy development and value management capabilities to automate work
On-par vision with 10-20-70 model articulating that 70% of transformation effort is people and process

Cons:

Customers would like improvements in ability to architect solutions that will scale beyond pilot phases
Need for clearer paths to handoffs to systems integrators
Lags peers in AI security and compliance, lacking breadth and scale
Takes minimal advantage of offshore resources in talent strategy

Capgemini - Strong Performers

Pros:

Excels in change management, citing large-scale deployments of Microsoft Copilot with one client citing more than 40,000 daily active users
Superior partner ecosystem, signaled by co-innovation commitments to cloud and language model providers
Superior talent strategy taking full advantage of nearshore and offshore labor
Solid innovation roadmap focused on industry solutions, physical AI, and experience design

Cons:

Customers would like Capgemini to strengthen its AI architecture capabilities
Need to bring forward AI operations practices from other industries
Lags in AI governance, lacking strong evidence of success
Below par in business strategy development and value management

KPMG - Strong Performers

Pros:

Superior pricing strategy offering blend of fixed, T&M, and results-based pricing with fees at risk in 25% of engagements
Solid in change and value management, identifying and prioritizing investment opportunities based on likely returns
Solid in AI governance, drawing on audit heritage to help clients scale governance capacity
Solid partner ecosystem strategy with $2 billion investment with Microsoft

Cons:

Customers would welcome deeper in-house, future-leaning technical expertise
Need for faster pace of delivery
Below par in business strategy development, lacking evidence of business change
Undifferentiated in AI architecture and applications

McKinsey & Company - Strong Performers

Pros:

Strong vision applying Rewired methodology and industry blueprints to help clients redesign operating and business models
Rises above field for value management and AI governance services with history of delivering cost savings
Solid capabilities for business strategy development and process reinvention, designing AI-native workflows
One of four launch partners for OpenAI's Frontier offering

Cons:

Customers would like provider to be more tool-agnostic
Need to improve continuity by ensuring right people stay engaged through handoff
Lags in AI operations where project orientation leads to challenging pass-offs
Overall partner strategy lags peers due to largely hands-off approach to tech partners

Bain & Company - Contenders

Pros:

Solid business strategy development with dependable value management, process reinvention, and AI governance practices
AI-powered delivery and solution assets help accelerate delivery
CEO-first approach building on provider's history with disruptive change
Shifting to performance-based pricing in 10% of AI consulting engagements

Cons:

Customers would like Bain to bring insights from other engagements
Need to improve capacity in AI architecture, data, security, and FinOps for AI
Vision limited to CEO-first approach that limits scenarios enterprises typically seek help with
Lags in data engineering as it tries to scale blended teams; partner ecosystem and supporting services lag due to smaller size

Deloitte - Contenders

Pros:

On par with peers in process reinvention and AI operations, bringing together business change and cost-effective operations
Strengths in technology reflected in AI architecture and data and model engineering
Early to implement and accelerate AI-powered delivery with Zora AI platform
Solid innovation strategy focusing on process blueprints and more AI-powered delivery

Cons:

Customers would welcome higher skills availability and quality consistency across geographies and teams
Vision hampered by mismatch between stated vision for AI-native business and more mundane AI-enhanced tasks enterprises need
Lags peers in value and change management
Pricing strategy lags because of focus on T&M and fixed-fee; weaker sovereign cloud capabilities

FAQs

Q: Which vendors are Leaders in 2026?

A: Accenture, EY, IBM, PwC

Q: What does "Leader" mean in Forrester Wave terms?

A: Leaders in the Forrester Wave are vendors that demonstrate strong current offering capabilities combined with robust strategy. In this AI Consulting Services Wave, Leaders excel at bringing together strategy (what to do) and viability (engineering feasibility that it can be done) to ensure clients can execute their AI transformation vision. They typically have superior capabilities across business strategy development, value management, AI operations, governance, and architecture, combined with strong vision, innovation roadmaps, extensive partner ecosystems, and progressive pricing strategies including results-based models.

Q: How do I interpret a Forrester Wave?

A: https://www.forrester.com/policies/forrester-wave-methodology/

Report:

Top Vendor Products for AI Consulting Services in 2026

AI Consulting Services Vendor Product Comparisons 2026

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FAQs

Q: Which vendors are Leaders in 2026?

Q: What does "Leader" mean in Forrester Wave terms?

Q: How do I interpret a Forrester Wave?

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