Deloitte vs Globant: full comparison for 2026
Quick verdict
Deloitte (4.1/5) edges ahead of Globant (4.1/5) overall. Deloitte is the better choice for regulated enterprises needing audit-grade controls. Globant is the stronger option for buyers wanting subscription pricing on AI delivery. The right choice depends on your project size, budget, and required tech stack.
Deloitte vs Globant: head-to-head summary
| Criterion | Deloitte | Globant |
|---|---|---|
| Founded | 1845 | 2003 |
| HQ | London, UK | Luxembourg (founded in Buenos Aires) |
| Team size | 470,000+ | 28,500+ |
| Rating | 4.1 / 5 | 4.1 / 5 |
| Primary differentiator | Risk, audit, and regulatory teams working next to the integrators | AI Pods priced by output or consumption instead of hours |
| Pricing model | Program-based fixed fee and time & materials; rates on request | Subscription AI Pods, time & materials, and managed services; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | SAP, Salesforce, Microsoft Dynamics 365 | Azure OpenAI, AWS Bedrock, Salesforce |
| Industries served | Financial services, Public sector, Healthcare, Energy, Insurance | Media, Retail & e-commerce, Financial services, Healthcare |
Deloitte vs Globant: overview
Deloitte
Deloitte is the largest of the Big Four by revenue, founded in 1845 in London, with over 470,000 people and $70.5 billion in FY2025 revenue. It has committed more than $3 billion to generative AI through FY2030 and launched Zora AI, its agentic product line built with NVIDIA, plus a global network of agent products built on partner platforms. For integration buyers, its value lies in regulated industries where audit, risk, and controls work happens next to the technology. It's rarely the cheapest or fastest route to a single working workflow.
Globant
Globant was founded in Buenos Aires in 2003, is now legally headquartered in Luxembourg, and employs more than 28,500 people in over 30 countries. Its notable pricing change is the AI Pods model: clients subscribe to AI-assisted delivery units and pay for output or consumption rather than staff hours. Glob.AI annual recurring revenue reached $52.8 million in Q2 2026. The company cut its 2026 revenue forecast that quarter, citing slower North American decisions.
Services and capabilities: Deloitte vs Globant
| Capability | Deloitte | Globant |
|---|---|---|
| CRM / ERP integration | ✓ | ✗ |
| LLM API gateway & cost control | ✗ | ✗ |
| Document processing | ✗ | ✗ |
| Conversational AI | ✗ | ✓ |
| Agentic workflows | ✓ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✓ | ✓ |
Tech stack comparison: Deloitte vs Globant
| Framework / platform | Deloitte | Globant |
|---|---|---|
| Salesforce | ✓ | ✓ |
| SAP | ✓ | N/A |
| Microsoft Dynamics 365 | ✓ | N/A |
| HubSpot | N/A | N/A |
| Snowflake | N/A | ✓ |
| Databricks | N/A | N/A |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| Zendesk | N/A | N/A |
Pricing comparison: Deloitte vs Globant
| Criterion | Deloitte | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Managed services | Time & materials, Managed services, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Deloitte vs Globant
| Dimension | Deloitte | Globant |
|---|---|---|
| Best company size | Enterprise | Enterprise |
| Best industries | Financial services, Public sector, Healthcare | Media, Retail & e-commerce, Financial services |
| Best use cases | Agent rollouts in SAP finance with controls testing, AI programs that need regulator-facing documentation | Ongoing AI feature delivery on a monthly subscription, Customer-experience agents for media and retail brands |
| Typical project type | Fixed-scope project | Time & materials |
Deloitte vs Globant: pros and cons
| Deloitte | |
|---|---|
| + | Can combine AI integration with internal-audit and regulatory review. |
| + | Partner relationships across SAP, Salesforce, Microsoft, ServiceNow, and the hyperscalers. |
| + | Global staffing for multi-country rollouts. |
| + | Zora AI gives clients prebuilt agent patterns for finance and operations. |
| - | Big Four pricing and staffing pyramids make a 2–4 week pilot expensive |
| - | Independence rules restrict some work for Deloitte audit clients |
| - | Reported job cuts at member firms in 2025 add uncertainty about team continuity |
| Globant | |
|---|---|
| + | Subscription pricing changes the cost conversation away from hourly rates. |
| + | Large nearshore bench in Latin America with U.S. time-zone overlap. |
| + | Strong media and entertainment portfolio. |
| + | Public reporting on Glob.AI revenue. |
| - | Lowered 2026 revenue guidance signals pressure on the business |
| - | Subscription pods are new, with limited public results to judge |
| - | Too large a commitment for a single-system integration |
Who should choose Deloitte?
A typical fit: agent rollouts in SAP finance with controls testing.
Risk, audit, and regulatory teams working next to the integrators. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Public sector, Healthcare, Energy, Insurance.
Who should choose Globant?
A typical fit: ongoing AI feature delivery on a monthly subscription.
AI Pods priced by output or consumption instead of hours. Minimum engagement is not publicly disclosed. Works best with clients in Media, Retail & e-commerce, Financial services, Healthcare.
Decision matrix: Deloitte vs Globant
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Both offer managed services |
| Your budget is at the lower end | Compare: Deloitte (Not disclosed) vs Globant (Not disclosed) |
| The AI has to read and write in your CRM or ERP | Deloitte |
| You need multi-step agents acting across systems | Both build agentic workflows |
| You need a large team for a multi-year program | Deloitte |
Use case fit: Deloitte vs Globant
| Use case | Deloitte fit | Globant fit | Winner |
|---|---|---|---|
| Agent rollouts in SAP finance with controls testing | Strong | Limited | Deloitte |
| AI programs that need regulator-facing documentation | Strong | Limited | Deloitte |
| Ongoing AI feature delivery on a monthly subscription | Limited | Strong | Globant |
| Customer-experience agents for media and retail brands | Limited | Strong | Globant |
Verdict: Deloitte vs Globant
Deloitte (4.1/5) is the stronger overall choice for most AI Integration Services projects. Risk, audit, and regulatory teams working next to the integrators.
Globant (4.1/5) is worth a look if you need customer-experience agents for media and retail brands. If your situation matches that, Globant is a competitive option.
Related comparisons
Deloitte vs Globant FAQ
Is Deloitte better than Globant?
Deloitte (4.1/5) scores higher overall, but "better" depends on your use case. Deloitte's strongest advantage: can combine AI integration with internal-audit and regulatory review. Globant's strongest advantage: subscription pricing changes the cost conversation away from hourly rates.
How do Deloitte and Globant differ in pricing?
Deloitte's pricing: program-based fixed fee and time & materials; rates on request. Globant's pricing: subscription AI Pods, time & materials, and managed services; rates on request. Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Deloitte or Globant?
Deloitte is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Deloitte and Globant?
Deloitte's primary differentiator is: risk, audit, and regulatory teams working next to the integrators. Globant's primary differentiator is: AI Pods priced by output or consumption instead of hours. They also differ in team size (470,000+ vs 28,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Public sector vs Media, Retail & e-commerce).
Verify all details directly with each provider before making a decision.