Deloitte vs KPMG: full comparison for 2026
Quick verdict
Deloitte (4.2/5) edges ahead of KPMG (4.1/5) overall. Deloitte is the better choice for global enterprises wanting AI strategy from a Big Four name. KPMG is the stronger option for enterprises wanting named AI products alongside Big Four advisory. The right choice depends on your project size, budget, and required tech stack.
Deloitte vs KPMG: head-to-head summary
| Criterion | Deloitte | KPMG |
|---|---|---|
| Founded | 1845 | 1987 |
| HQ | London, United Kingdom | London, United Kingdom |
| Team size | 470,000 | 251,000-275,000 |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | The largest professional services network in the world, with a dedicated AI Institute | Named AI products, aIQ and Mystro, instead of purely bespoke advisory engagements |
| Pricing model | Retainer, enterprise contracting | Retainer, enterprise contracting |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, AWS, Azure |
| Industries served | Financial services, Healthcare, Manufacturing, Government | Financial services, Healthcare, Manufacturing, Government |
Deloitte vs KPMG: overview
Deloitte
Deloitte dates to 1845 in London and has grown into the largest professional services network in the world by both revenue and headcount, employing roughly 470,000 people as of 2025. Its AI and Insights practice spans generative AI, agentic AI, and edge intelligence, and it maintains a dedicated Deloitte AI Institute for research and thought leadership. At this scale, AI advisory is one service line inside an enormous global firm, not a purpose-built boutique agency.
KPMG
KPMG was formed in 1987 by the merger of Peat Marwick International and Klynveld Main Goerdeler, though its roots trace back to 1897, and runs out of London today. Headcount estimates range between roughly 251,875 and 275,288 depending on the reporting period. Its AI service line includes named products, aIQ and Mystro, for AI transformation and digital labor optimization, more productized than some Big Four peers, though how much staff is specifically dedicated to AI hasn't been disclosed.
Services and capabilities: Deloitte vs KPMG
| Capability | Deloitte | KPMG |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Deloitte vs KPMG
| Framework / platform | Deloitte | KPMG |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: Deloitte vs KPMG
| Criterion | Deloitte | KPMG |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Retainer, Dedicated team | Retainer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Deloitte vs KPMG
| Dimension | Deloitte | KPMG |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Financial services, Healthcare, Manufacturing | Financial services, Healthcare, Manufacturing |
| Best use cases | Running an enterprise AI strategy engagement that needs Big Four brand credibility., Bundling AI advisory into an existing audit, tax, or broader advisory relationship. | Adopting a named, productized AI tool rather than commissioning a fully bespoke build., Running an AI workforce transformation program alongside existing KPMG advisory work. |
| Typical project type | Retainer | Retainer |
Deloitte vs KPMG: pros and cons
| Deloitte | |
|---|---|
| + | Scale at 470,000 people makes it the largest professional services network in the world. |
| + | A dedicated Deloitte AI Institute adds published research behind the advisory work. |
| + | Almost two centuries of institutional history and enterprise relationships. |
| + | Covers generative AI, agentic AI, and edge intelligence under one named practice. |
| - | AI advisory is one service line inside an enormous, diversified professional services firm |
| - | Big Four pricing and minimum engagement sizes exclude most small and mid-size buyers |
| KPMG | |
|---|---|
| + | Scale at 251,000-plus people supports the largest enterprise engagements. |
| + | Named, productized AI tools give clients something more concrete to evaluate than a generic strategy deck. |
| + | Nearly 130 years of institutional history dating back to 1897. |
| + | A London headquarters simplifies EU and UK contracting. |
| - | Reported headcount varies by roughly 25,000 depending on which reporting period is cited |
| - | Big Four pricing and minimum engagement sizes exclude most small and mid-size buyers |
Who should choose Deloitte?
A typical fit: running an enterprise AI strategy engagement that needs Big Four brand credibility.
The largest professional services network in the world, with a dedicated AI Institute. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Manufacturing, Government.
Who should choose KPMG?
A typical fit: adopting a named, productized AI tool rather than commissioning a fully bespoke build.
Named AI products, aIQ and Mystro, instead of purely bespoke advisory engagements. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Manufacturing, Government.
Decision matrix: Deloitte vs KPMG
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Deloitte |
| Your budget is at the lower end | Compare: Deloitte (Not disclosed) vs KPMG (Not disclosed) |
| You need specialist depth in a specific vertical | Deloitte |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Deloitte |
Use case fit: Deloitte vs KPMG
| Use case | Deloitte fit | KPMG fit | Winner |
|---|---|---|---|
| Running an enterprise AI strategy engagement that needs Big Four brand credibility. | Strong | Strong | Both equally |
| Bundling AI advisory into an existing audit, tax, or broader advisory relationship. | Strong | Limited | Deloitte |
| Adopting a named, productized AI tool rather than commissioning a fully bespoke build. | Limited | Strong | KPMG |
| Running an AI workforce transformation program alongside existing KPMG advisory work. | Strong | Strong | Both equally |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Deloitte vs KPMG
Deloitte (4.2/5) is the stronger overall choice for most AI Consulting projects. The largest professional services network in the world, with a dedicated AI Institute.
KPMG (4.1/5) is worth a look if you need running an AI workforce transformation program alongside existing KPMG advisory work. If your situation matches that, KPMG is a competitive option.
Related comparisons
Deloitte vs KPMG FAQ
Is Deloitte better than KPMG?
Deloitte (4.2/5) scores higher overall, but "better" depends on your use case. Deloitte's strongest advantage: scale at 470,000 people makes it the largest professional services network in the world. KPMG's strongest advantage: scale at 251,000-plus people supports the largest enterprise engagements.
How do Deloitte and KPMG differ in pricing?
Deloitte uses retainer, enterprise contracting pricing. KPMG uses retainer, enterprise contracting pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Deloitte or KPMG?
KPMG is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Deloitte and KPMG?
Deloitte's primary differentiator is: the largest professional services network in the world, with a dedicated AI Institute. KPMG's primary differentiator is: named AI products, aIQ and Mystro, instead of purely bespoke advisory engagements. They also differ in team size (470,000 vs 251,000-275,000), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Healthcare).
Verify all details directly with each agency before making a decision.