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 research institute | Named AI products, aIQ and Mystro, rather than purely bespoke advisory work |
| 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's roots go back to 1845 in London, and it 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 covers generative AI, agentic AI, and edge intelligence, and it runs a dedicated Deloitte AI Institute for published research. At this scale, AI advisory is one line of business inside an enormous global firm, not a purpose-built boutique.
KPMG
KPMG formed in 1987 from the merger of Peat Marwick International and Klynveld Main Goerdeler, with a lineage tracing back to 1897, and runs today out of London. Headcount estimates land somewhere between roughly 251,875 and 275,288 depending on the reporting period cited. Its AI service line includes named products, aIQ and Mystro, aimed at AI transformation and digital labor optimization, which is more productized than most Big Four peers, though the firm hasn't disclosed how much staff sits specifically inside the AI practice.
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 engagement that needs Big Four credibility for internal sign-off., Bundling AI advisory into an existing audit or broader advisory relationship. | Adopting a named, productized AI tool instead of 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 | |
|---|---|
| + | 470,000 employees make it the largest professional services network in the world. |
| + | The dedicated Deloitte AI Institute adds published research behind the advisory work. |
| + | Nearly two centuries of institutional history and enterprise relationships. |
| + | Covers generative AI, agentic AI, and edge intelligence as a named, unified practice. |
| - | AI advisory is one service line inside an enormous, diversified professional services firm |
| - | Big Four pricing and minimum commitments rule out most small and mid-size buyers |
| KPMG | |
|---|---|
| + | Scale at 251,000-plus people supports the largest enterprise engagements. |
| + | Named, productized AI tools give buyers something concrete to evaluate instead of a generic pitch. |
| + | Nearly 130 years of institutional history dating back to 1897. |
| + | A London headquarters simplifies EU and UK contracting. |
| - | Reported headcount swings by roughly 25,000 depending on which source and period you check |
| - | Big Four pricing and minimum engagement sizes rule out most small and mid-size buyers |
Who should choose Deloitte?
A typical fit: running an enterprise AI engagement that needs Big Four credibility for internal sign-off.
The largest professional services network in the world, with a dedicated AI research 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 instead of commissioning a fully bespoke build.
Named AI products, aIQ and Mystro, rather than purely bespoke advisory work. 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 engagement that needs Big Four credibility for internal sign-off. | Strong | Strong | Both equally |
| Bundling AI advisory into an existing audit or broader advisory relationship. | Strong | Limited | Deloitte |
| Adopting a named, productized AI tool instead of 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 research 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: 470,000 employees make 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 research institute. KPMG's primary differentiator is: named AI products, aIQ and Mystro, rather than purely bespoke advisory work. 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.