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 provider. 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 | 349,800 employees, now explicitly repositioned around AI Builder branding | 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 began in 1994 as an in-house technology unit inside Dun & Bradstreet in Chennai, India, and today runs out of Teaneck, New Jersey with roughly 349,800 employees. Its current positioning as an AI Builder, bridging AI investment and enterprise value, reflects a deliberate move away from an older IT-outsourcing identity, though the delivery model and scale still read as a large-scale 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 advisory, machine learning, data engineering, and robotic process integration, sitting on top of a broader stack that covers .NET, Java, Python, PHP, and Go. Its client industries run through 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 vendor for a multi-region 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 | |
|---|---|
| + | Nearly 350,000 employees can support the largest concurrent enterprise programs globally. |
| + | Three decades of enterprise IT services history underlie the newer AI-focused branding. |
| + | The AI Builder repositioning reflects genuine internal investment, not just a fresh coat of marketing. |
| + | Broad partnerships across cloud vendors keep clients from getting locked into one platform. |
| - | The AI Builder identity is a recent reframe of a much older IT outsourcing business |
| - | Enterprise scale typically means a slower, more formal sales and onboarding cycle |
| Andersen | |
|---|---|
| + | A large global footprint, 20 offices and 16 development centers, supports concurrent enterprise programs. |
| + | The named AI and data practice isn't just a marketing add-on to broader software services. |
| + | Nearly two decades of software delivery history across multiple technology stacks. |
| + | Vertical coverage spans 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 smaller agencies |
Who should choose Cognizant?
A typical fit: running an AI transformation alongside an existing IT outsourcing relationship.
349,800 employees, now explicitly repositioned around AI Builder branding. 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 vendor for a multi-region 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. 349,800 employees, now explicitly repositioned around AI Builder branding.
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: nearly 350,000 employees can support the largest concurrent enterprise 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: 349,800 employees, now explicitly repositioned around AI Builder branding. 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.