Cognizant vs Andersen: full comparison for 2026
Quick verdict
Cognizant (4.2/5) edges ahead of Andersen (4.0/5) overall. Cognizant is the better choice for large enterprises wanting AI advisory from an established IT services giant. Andersen is the stronger option for enterprises wanting AI advisory paired with broad platform engineering. The right choice depends on your project size, budget, and required tech stack.
Cognizant vs Andersen: head-to-head summary
| Criterion | Cognizant | Andersen |
|---|---|---|
| Founded | 1994 | 2007 |
| HQ | Teaneck, United States | Warsaw, Poland |
| Team size | 349,800 | 3,500+ |
| Rating | 4.2 / 5 | 4.0 / 5 |
| Primary differentiator | A 349,800-person global IT services firm now explicitly repositioned around AI delivery | 3,500-plus specialists across 20 global offices with a named AI advisory practice |
| Pricing model | Retainer, enterprise contracting | Dedicated team or retainer |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, .NET, Java |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Telecom | Financial services, Healthcare, Logistics, Automotive |
Cognizant vs Andersen: overview
Cognizant
Cognizant started in 1994 in Chennai, India as an in-house technology unit inside Dun & Bradstreet, and today runs out of Teaneck, New Jersey with roughly 349,800 employees. It now brands itself an AI Builder, positioned as the bridge between AI investment and enterprise value, a deliberate shift from its older IT-outsourcing identity, even though the underlying delivery model and scale still read as a large IT services firm rather than a boutique AI agency.
Andersen
Andersen was founded in 2007 and is headquartered in Warsaw, Poland, running more than 3,500 specialists across 20 office locations and 16 development centers globally. Its named AI and data practice spans AI advisory, machine learning, data engineering, and robotic process integration, layered on top of a broader stack covering .NET, Java, Python, PHP, and Go. Client industries include financial services, healthcare, logistics, automotive, and media.
Services and capabilities: Cognizant vs Andersen
| Capability | Cognizant | Andersen |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Machine learning | ✗ | ✓ |
| Data engineering | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Cognizant vs Andersen
| Framework / platform | Cognizant | Andersen |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: Cognizant vs Andersen
| Criterion | Cognizant | Andersen |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Retainer, Dedicated team | Dedicated team, Retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Cognizant vs Andersen
| Dimension | Cognizant | Andersen |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Financial services, Healthcare, Logistics |
| Best use cases | Running an AI transformation alongside an existing IT outsourcing relationship., Needing a globally scaled agency for a multi-region enterprise AI rollout. | Running an AI advisory initiative that needs to plug into an existing multi-technology enterprise stack., Adding robotic process integration alongside an AI advisory engagement. |
| Typical project type | Retainer | Dedicated team |
Cognizant vs Andersen: pros and cons
| Cognizant | |
|---|---|
| + | Scale at nearly 350,000 people supports the largest concurrent enterprise AI programs globally. |
| + | Three decades of enterprise IT services experience underpins the newer AI positioning. |
| + | The AI Builder rebrand reflects genuine internal investment, not just a marketing refresh. |
| + | Broad cloud and enterprise software partnerships reduce single-platform lock-in. |
| - | The AI Builder identity is a recent reframe layered on top of a much older IT outsourcing business |
| - | Enterprise scale generally means a slower, more formal sales and onboarding process |
| Andersen | |
|---|---|
| + | A large global footprint, 20 offices and 16 development centers, supports concurrent enterprise programs. |
| + | The named AI and data practice isn't a generic add-on to broader software services. |
| + | Nearly two decades of software delivery history spanning multiple technology stacks. |
| + | Vertical coverage runs across financial services, healthcare, logistics, and automotive. |
| - | AI advisory is one practice area within a much larger, multi-stack engineering business |
| - | Scale typically means a more formal sales and onboarding process than boutique agencies |
Who should choose Cognizant?
A typical fit: running an AI transformation alongside an existing IT outsourcing relationship.
A 349,800-person global IT services firm now explicitly repositioned around AI delivery. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Telecom.
Who should choose Andersen?
A typical fit: running an AI advisory initiative that needs to plug into an existing multi-technology enterprise stack.
3,500-plus specialists across 20 global offices with a named AI advisory practice. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Logistics, Automotive.
Decision matrix: Cognizant vs Andersen
| 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 | Cognizant |
| Your budget is at the lower end | Compare: Cognizant (Not disclosed) vs Andersen (Not disclosed) |
| You need specialist depth in a specific vertical | Cognizant |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Cognizant |
Use case fit: Cognizant vs Andersen
| Use case | Cognizant fit | Andersen fit | Winner |
|---|---|---|---|
| Running an AI transformation alongside an existing IT outsourcing relationship. | Strong | Strong | Both equally |
| Needing a globally scaled agency for a multi-region enterprise AI rollout. | Strong | Strong | Both equally |
| Running an AI advisory initiative that needs to plug into an existing multi-technology enterprise stack. | Strong | Strong | Both equally |
| Adding robotic process integration alongside an AI advisory engagement. | Limited | Strong | Andersen |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Cognizant vs Andersen
Cognizant (4.2/5) is the stronger overall choice for most AI Consulting projects. A 349,800-person global IT services firm now explicitly repositioned around AI delivery.
Andersen (4.0/5) is worth a look if you need adding robotic process integration alongside an AI advisory engagement. If your situation matches that, Andersen is a competitive option.
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Cognizant vs Andersen FAQ
Is Cognizant better than Andersen?
Cognizant (4.2/5) scores higher overall, but "better" depends on your use case. Cognizant's strongest advantage: scale at nearly 350,000 people supports the largest concurrent enterprise AI programs globally. Andersen's strongest advantage: a large global footprint, 20 offices and 16 development centers, supports concurrent enterprise programs.
How do Cognizant and Andersen differ in pricing?
Cognizant uses retainer, enterprise contracting pricing. Andersen uses dedicated team or retainer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Cognizant or Andersen?
Cognizant 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 Cognizant and Andersen?
Cognizant's primary differentiator is: a 349,800-person global IT services firm now explicitly repositioned around AI delivery. Andersen's primary differentiator is: 3,500-plus specialists across 20 global offices with a named AI advisory practice. They also differ in team size (349,800 vs 3,500+), 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.