KPMG vs Infosys: full comparison for 2026
Quick verdict
KPMG (4.1/5) edges ahead of Infosys (4.0/5) overall. KPMG is the better choice for enterprises wanting named AI products alongside Big Four advisory. Infosys is the stronger option for global enterprises needing AI advisory inside a full IT services contract. The right choice depends on your project size, budget, and required tech stack.
KPMG vs Infosys: head-to-head summary
| Criterion | KPMG | Infosys |
|---|---|---|
| Founded | 1987 | 1981 |
| HQ | London, United Kingdom | Bengaluru, India |
| Team size | 251,000-275,000 | 330,000+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Named AI products, aIQ and Mystro, rather than purely bespoke advisory work | One of the world's largest IT services firms, with a dedicated London-based advisory arm |
| 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, Manufacturing, Retail & e-commerce, Telecom |
KPMG vs Infosys: overview
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.
Infosys
Infosys was founded in 1981 and is headquartered in Bengaluru, India, employing approximately 330,429 people worldwide as of March 2026. It runs a full suite of enterprise AI advisory services, and its wholly-owned subsidiary Infosys Consulting, founded in 2004 and based in London, gives it a dedicated advisory arm distinct from the parent's much larger delivery organization.
Services and capabilities: KPMG vs Infosys
| Capability | KPMG | Infosys |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: KPMG vs Infosys
| Framework / platform | KPMG | Infosys |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: KPMG vs Infosys
| Criterion | KPMG | Infosys |
|---|---|---|
| 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: KPMG vs Infosys
| Dimension | KPMG | Infosys |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare, Manufacturing | Financial services, Manufacturing, Retail & e-commerce |
| Best use cases | Adopting a named, productized AI tool instead of commissioning a fully bespoke build., Running an AI workforce transformation program alongside existing KPMG advisory work. | Running an AI advisory initiative as part of a much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval. |
| Typical project type | Retainer | Retainer |
KPMG vs Infosys: pros and cons
| 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 |
| Infosys | |
|---|---|
| + | Massive global scale, 330,000-plus employees, supports the largest enterprise AI programs. |
| + | The dedicated Infosys Consulting subsidiary adds a London-based advisory layer. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Cloud and enterprise software partnerships span multiple platforms, avoiding lock-in. |
| - | AI advisory is one part of an enormous general IT services business, not a specialized focus |
| - | Scale generally means slower engagement setup than a smaller, more agile firm |
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.
Who should choose Infosys?
A typical fit: running an AI advisory initiative as part of a much larger enterprise IT services contract.
One of the world's largest IT services firms, with a dedicated London-based advisory arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.
Decision matrix: KPMG vs Infosys
| 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 | KPMG |
| Your budget is at the lower end | Compare: KPMG (Not disclosed) vs Infosys (Not disclosed) |
| You need specialist depth in a specific vertical | KPMG |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | KPMG |
Use case fit: KPMG vs Infosys
| Use case | KPMG fit | Infosys fit | Winner |
|---|---|---|---|
| Adopting a named, productized AI tool instead of commissioning a fully bespoke build. | Strong | Limited | KPMG |
| Running an AI workforce transformation program alongside existing KPMG advisory work. | Strong | Strong | Both equally |
| Running an AI advisory initiative as part of a much larger enterprise IT services contract. | Strong | Strong | Both equally |
| Needing a globally recognized vendor for board-level procurement approval. | Strong | Strong | Both equally |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: KPMG vs Infosys
KPMG (4.1/5) is the stronger overall choice for most AI Consulting projects. Named AI products, aIQ and Mystro, rather than purely bespoke advisory work.
Infosys (4.0/5) is worth a look if you need needing a globally recognized vendor for board-level procurement approval. If your situation matches that, Infosys is a competitive option.
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KPMG vs Infosys FAQ
Is KPMG better than Infosys?
KPMG (4.1/5) scores higher overall, but "better" depends on your use case. KPMG's strongest advantage: scale at 251,000-plus people supports the largest enterprise engagements. Infosys's strongest advantage: massive global scale, 330,000-plus employees, supports the largest enterprise AI programs.
How do KPMG and Infosys differ in pricing?
KPMG uses retainer, enterprise contracting pricing. Infosys 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: KPMG or Infosys?
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 KPMG and Infosys?
KPMG's primary differentiator is: named AI products, aIQ and Mystro, rather than purely bespoke advisory work. Infosys's primary differentiator is: one of the world's largest IT services firms, with a dedicated London-based advisory arm. They also differ in team size (251,000-275,000 vs 330,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Financial services, Manufacturing).
Verify all details directly with each agency before making a decision.