10 Best Globant Competitors & Alternatives in 2026

Globant combines software engineering, AI, digital products, and technology services, giving buyers several options for approaching a technology initiative. When that scope doesn’t fit, the choice among Globant competitors comes down to which provider offers the right capabilities and delivery model. BCG’s 2026 research found that agentic adoption is translating directly into service demand. 75% of enterprises report wanting to work with service providers to build or implement priority use cases. That demand gives buyers more reason to compare providers that approach AI and software delivery differently.

The right provider also depends on the engagement. A company building an AI product has different needs from one modernizing an existing application. A team looking for additional engineering capacity also differs from one seeking end-to-end ownership.

This guide compares the best Globant competitors and alternatives based on their strengths, delivery models, and fit for different types of work. The comparison focuses on the practical differences that affect which provider fits a particular technology engagement.

Key Takeaways:

• GoGloby is an Applied AI Engineering option for established software companies where AI spend needs to connect to what shipped, tracked per feature against the team’s own baseline.
• EPAM fits when software product execution at scale is the requirement. Thoughtworks fits when architecture rigor and delivery governance need to be built into how the team works.
• Accenture and Capgemini serve programs where engineering is one workstream inside a broader organizational change.
• Cognizant’s depth shows up in financial services and managed operations. TCS scales on modernization volume and global delivery reach.
• Endava fits product-oriented engineering programs in financial services or payments. BairesDev serves teams that need US-timezone engineering capacity and own delivery direction themselves.
• IBM Consulting is the fit when the existing infrastructure is IBM-native, and the AI program needs to run inside that environment.

What Does Globant Do in 2026?

Globant is a global technology services company that combines product engineering, experience design, AI, cloud, and enterprise transformation. It delivers this work through dedicated teams, staff augmentation, and newer AI-based delivery models. That puts Globant across several areas of technology services rather than a single outsourcing category.

Glob.AI and AI Pods

Glob.AI is Globant’s AI-native services platform, launched in August 2026 to move engagements away from traditional hour- or seat-based pricing toward models tied to output and consumption. AI Pods are defined delivery units that combine AI agents with human experts who supervise the output and make decisions that require engineering judgment. Globant reported $52.8 million in Glob.AI ARR in Q2 2026, reflecting the commercial traction of this new delivery model.

Globant applies AI Pods to software development and broader operational work. AI Pod Software focuses on software engineering, while other AI Pods support operational use cases beyond software development.

Product and Platform Engineering

Globant provides custom application development, platform engineering, cloud migration, modernization, and enterprise integration. These services put it in direct competition with providers such as EPAM, Thoughtworks, Endava, and Cognizant.

Experience and Digital Products

Through its Studio model, Globant combines engineering with product design and creative services. A client can bring product strategy, UX, and engineering into the same engagement. This makes the model relevant when the work involves building or improving a consumer-facing digital product. 

Outsourcing and Delivery

Globant delivers engineering work through Agile Pods, dedicated teams, and staff augmentation across Latin America, North America, Europe, and Asia. This puts it in competition with BairesDev and other regional nearshore providers. Outsourcing and staff augmentation remain part of Globant’s delivery model in 2026.

AI Ecosystem

Globant technology partnerships include Anthropic, OpenAI, AWS, NVIDIA, Salesforce, Microsoft, and Google. Claude-powered AI Pods are one example of how those partnerships show up in its delivery model. Rather than centering its services on one AI model, this company works across several technology ecosystems. 

What Are the Best Globant Competitors and Alternatives in 2026?

The best Globant competitors and alternatives in 2026 span engineering-led delivery, enterprise transformation, nearshore capacity, and AI-native output measurement. No single firm replicates Globant’s full portfolio. The right fit depends on whether your team needs engineering-led delivery, enterprise transformation, nearshore capacity, or AI-native output measurement.

1. GoGloby: A specialized Applied AI Engineering partner for established software companies needing measurable AI-native delivery inside an existing platform.
2. EPAM: An engineering-led global firm with deep software product development, cloud, and AI modernization capability.
3. Thoughtworks: A technology consultancy with strong engineering heritage and an Agentic software development platform.
4. Accenture: Broad enterprise services covering consulting, AI, cloud, and operating-model transformation at global scale.
5. Cognizant: Large IT services firm with strong application engineering, AI, and managed services for enterprise clients.
6. Endava: A digital engineering company with product-oriented delivery and payments/financial services depth.
7. BairesDev: A nearshore software engineering and staff augmentation firm with US-timezone coverage.
8. Capgemini: A global technology and consulting firm with AI-assisted modernization and cloud at enterprise scale.
9. Tata Consultancy Services: Large global IT services with broad engineering, managed services, and offshore delivery capacity.
10. IBM Consulting: Enterprise AI, hybrid cloud, mainframe modernization, and technology consulting.

Evaluation Criteria

We evaluated each company against factors that help distinguish providers with different technical capabilities and delivery approaches. The criteria are designed to show where each company fits within the broader Globant alternatives market.

• Engineering capability: Depth of experience building software products, applications, and complex technology systems.
• AI in software delivery: How the provider incorporates AI into development and engineering work.
• Responsibility through production: How much technical responsibility the provider takes from development through production delivery.
• Modernization experience: Experience updating established applications and technology environments.
• Technology and model coverage: The range of platforms, cloud environments, and AI models the provider can support.

Globant Competitors Comparison Table

The table below compares the companies on criteria most relevant to digital transformation and AI engineering buyers. Ratings come from Gartner Peer Insights (Custom Software Development Services) and Clutch where verified buyer reviews exist. All ratings were checked in September 2026.

Read more: What Is Application Modernization? Strategy and Roadmap and What Is a Forward-Deployed Engineer? Role, Responsibilities, and Interview Questions.

1. GoGloby

GoGloby, founded in 2021 and headquartered in Dover, Delaware, is an Applied AI Engineering partner for established software companies. Forward-Deployed Engineers embed inside the client’s repos, pipeline, and sprint cadence. The AI Intelligence Layer measures cost per feature, real AI adoption by developer, and where delivery stalls before code ships. That connects engineering output directly to the ROI questions boards and PE sponsors ask.

Best for: Established software companies with AI tools and budget in place that need production delivery and ROI tracked per shipped feature.

Key services:

• AI Intelligence Layer: Deploys inside the client’s VPC. Connects AI spend to shipped work and flags delivery bottlenecks in real time.
• Forward-Deployed Engineers: AI Solutions Architects embed in under 4 weeks, working through the client’s repos and backlog, backed by a 120-day performance guarantee.
• Agentic SDLC: Replaces fragmented AI tool use with one governed, auditable workflow across the engineering team.

Limitations: GoGloby works inside one platform and one engineering team. Programs that span multiple regions or require organizational consulting are outside that scope. Those need a provider built for broader delivery.

How GoGloby is Similar to Globant: Both companies built tools that track what the engineering team ships and connect it to AI spend. GoGloby calls it the AI Intelligence Layer. Globant calls it Glob.AI. In both cases, the measurement is built into how the engagement works.

How GoGloby is Different from Globant: Globant structures engagements around team size and delivery scale. You’re paying for capacity. GoGloby ties delivery to measurement, tracked against your team’s own baseline. That shifts the question from how much can we staff to whether the output actually moved.

2. EPAM Systems

EPAM Systems, founded in 1993 and headquartered in Newtown, Pennsylvania, is a global software engineering and product development firm with cloud, data, and AI modernization capability across 50+ countries. Its AI/Run methodology covers AI-assisted modernization, application development, cloud migration, and data engineering at scale. GlobalData identifies EPAM as a key Globant peer, and Gartner surfaces it as one of the strongest direct alternatives for software product development.

Best for: Large enterprises that need serious engineering execution at delivery scale, with strong product development discipline and AI modernization capability.

Key services:

• Software Product Development: End-to-end engineering from architecture through production, with delivery teams across 50+ countries and senior technical leadership on each engagement.
• AI/Run Methodology: AI-assisted modernization covering codebase analysis, cloud migration, testing automation, and AI integration into existing platforms.
• Cloud and Data Engineering: Multi-cloud architecture, data platform build-out, and cloud migration across AWS, Azure, and Google Cloud.

Limitations: EPAM’s engineering depth comes at premium pricing. If budget is the primary constraint or the requirement is mainly staff augmentation at volume, the rate structure will create recurring friction.

How EPAM Is Similar to Globant: Both position their engineering teams as close partners to the client’s internal product team. That shared delivery philosophy is why they show up on the same shortlists.

How EPAM Is Different from Globant: Globant’s commercial model has shifted toward output-linked pricing through Glob.AI. EPAM still operates primarily on time-and-materials structures, which gives buyers more pricing predictability but less direct connection between payment and delivered outcome.

3. Thoughtworks

Thoughtworks, founded in 1993 and headquartered in Chicago, Illinois, is a technology consultancy with a long engineering heritage and a 2026 AI platform called AIworks. The Agentic Development Platform covers code-to-spec generation, future-state architecture, evaluations, runtime operations, and governance. Terminal and multiple competitor filings identify it as a direct Globant alternative.

Best for: Organizations where engineering practice quality, architecture discipline, and modernization rigor matter more than delivery volume or cost per seat.

Key services:

• AIworks Agentic Development Platform: Covers code-to-spec generation, future-state architecture design, AI evals, runtime operations, and governance within one integrated platform.
• Software Development and Advisory: End-to-end software delivery combining engineering execution with technology strategy and architecture consulting.
• Legacy Modernization: Structured approach to modernizing established platforms through architecture recovery, incremental refactoring, and cloud migration.

Limitations: Thoughtworks is built for engineering quality. Large-scale staff augmentation or offshore pricing is outside that model. The engagement structure won’t match a volume-first requirement.

How Thoughtworks Is Similar to Globant: Both started as software engineering firms and have since built AI delivery platforms on top of their engineering practice. In each case, AI is embedded in how the team delivers.

How Thoughtworks Is Different from Globant: Globant’s Studio model packages product strategy, UX, and engineering in one engagement. Thoughtworks stays closer to the engineering and architecture layer, so buyers who need design and delivery from the same vendor will find Globant a more complete match.

4. Accenture

Accenture, founded in 1989 and headquartered in Dublin, Ireland, covers technology consulting, AI, cloud, cybersecurity, application engineering, and operating-model transformation at global scale with more than 700,000 employees. Gartner lists it among the top Custom Software Development Services alternatives to Globant. Its scale supports multi-geography transformation programs that span technology, people, and business processes simultaneously.

Best for: Large enterprises undergoing multi-dimensional change that spans technology, operations, and organizational structure at global scale.

Key services:

• Enterprise AI and Cloud: AI strategy, model selection, and cloud architecture for large enterprise programs across AWS, Azure, Google Cloud, and Accenture’s proprietary AI platforms.
• Application Engineering and Modernization: Custom software development, platform engineering, and legacy modernization for complex enterprise technology estates.
• Operating Model Transformation: Redesigns of business processes, organizational structure, and technology governance, delivered alongside engineering work.

Limitations: Large programs carry procurement layers and account management overhead. If your requirement is a fast, bounded AI engineering engagement, the structure won’t match the scope.

How Accenture Is Similar to Globant: When a CTO shortlists digital engineering partners for an enterprise program, both firms regularly appear on the same RFP. They compete in the same market and win deals from the same enterprise buyer pool.

How Accenture Is Different from Globant: Globant competes on product engineering depth and Latin American delivery proximity. Accenture competes on breadth, the ability to run technology, HR, finance, and operations transformation through a single vendor.

5. Cognizant

Cognizant, founded in 1994 and headquartered in Teaneck, New Jersey, provides application engineering, digital transformation, AI, cloud, and managed services to enterprise clients globally. Globant’s own competitive disclosures group Cognizant in the same IT services landscape. It operates across financial services, healthcare, manufacturing, and technology at a scale that supports delivery teams of hundreds across multiple regions.

Best for: Large enterprises that need IT services at scale across application development, managed services, and data, with deep vertical expertise in regulated industries.

Key services:

• Application Engineering at Scale: Custom application development, integration, and QA across large enterprise technology estates with globally distributed delivery teams.
• AI and Data Services: Data platforms, AI model integration, and analytics engineering for enterprise clients, with a dedicated Cognizant AI practice.
• Managed IT Services: Vendor-owned delivery of defined service outcomes with SLAs, technical leadership, and continuous improvement built into the engagement.

Limitations: Cognizant is optimized for enterprise IT services at scale. If the requirement is embedded AI engineering inside a single product team, more specialized options will be a better fit.

How Cognizant Is Similar to Globant: Both appear in Globant’s own competitive filings as peer IT services firms. That puts them on the same shortlist at the board level, before procurement even opens the conversation.

How Cognizant Is Different from Globant: Globant’s delivery is Latin America-heavy, built for US timezone collaboration. Cognizant’s is predominantly India-heavy, optimized for offshore cost efficiency. For a US product team running daily standups and same-day code review, that difference shapes who owns the engineering rhythm.

6. Endava

Endava, founded in 2000 and headquartered in London, UK, is a digital engineering company with depth in payments, financial services, and product-oriented software development. Its own FY2025 filing explicitly names Globant, EPAM, Grid Dynamics, and Thoughtworks as direct next-generation digital IT services competitors. It delivers through product-oriented teams across Europe, North America, and Latin America.

Best for: Mid-market to enterprise companies in financial services or payments that need product-oriented engineering with European and Latin American delivery.

Key services:

• Digital Product Engineering: End-to-end product delivery from architecture through production, with teams that own a defined product area rather than working from a ticket queue.
• Payments and Financial Services Engineering: Specialized delivery for payments infrastructure and regulated technology environments with deep domain knowledge.
• Cloud and AI Engineering: Cloud migration, data platform engineering, and AI integration for established software products across financial services and technology sectors.

Limitations: Endava’s global footprint is smaller than EPAM or the large GSIs. If your program needs multi-region delivery at high volume, capacity constraints will surface.

How Endava Is Similar to Globant: Both are mid-size publicly traded engineering firms listed on NYSE, which puts them in the same competitive tier against each other rather than against the large GSIs like Accenture or TCS.

How Endava Is Different from Globant: Globant has built significant client depth in sports, entertainment, and media, sectors where Endava has minimal presence. A buyer in those verticals will find Globant’s domain experience directly relevant. A buyer in financial services will find Endava’s.

7. BairesDev

BairesDev, founded in 2009 and headquartered in San Francisco, California, is a nearshore software engineering and staff augmentation firm serving US companies through Latin American engineering talent. Terminal specifically identifies it as a Globant alternative. It covers custom software development, QA, DevOps, and data engineering across US-aligned time zones.

Best for: US companies that need time-zone-aligned engineering capacity across custom software, QA, and DevOps, with the client owning delivery direction.

Key services:

• Staff Augmentation: Engineers placed inside the client’s team with US timezone alignment, covering software development, QA, DevOps, and data roles across technology stacks.
• Dedicated Development Teams: Persistent teams assembled for a defined engagement, covering full-stack development, architecture, and testing under client direction.
• AI and Data Engineering: Data pipelines, ML model integration, and AI-assisted software development capabilities across BairesDev’s engineering network.

Limitations: Delivery management stays with the client. If you need a vendor to own the engineering outcome, including architecture decisions, QA, and production accountability, the staff augmentation model won’t cover it.

How BairesDev Is Similar to Globant: Both recruit from the same Latin American engineering talent pool and target the same US client base. The engineers behind either engagement come from the same geography. The decision between them is about delivery structure.

How BairesDev Is Different from Globant: Globant has Glob.AI, a proprietary AI delivery platform with active partnerships across Anthropic, OpenAI, and NVIDIA. BairesDev has no equivalent platform or AI lab relationship, so the AI tooling a buyer gets depends entirely on what that buyer already has in place.

8. Capgemini

Capgemini, founded in 1967 and headquartered in Paris, France, provides cloud, data, AI, digital engineering, application modernization, and global transformation delivery to enterprise clients. Gartner lists it directly among Globant’s top Custom Software Development Services alternatives. Its 2026 modernization offering uses AI-assisted code analysis, dependency mapping, documentation generation, and testing at scale for large enterprise codebases.

Best for: Large enterprises running complex multi-vendor technology estates that need AI-assisted modernization, cloud migration, and consulting-led transformation at scale.

Key services:

• AI-Assisted Application Modernization: Code analysis, dependency mapping, documentation generation, and test coverage automation for large enterprise codebases, at scale.
• Cloud Engineering and Migration: Multi-cloud architecture, workload migration, and cloud-native development across AWS, Azure, and Google Cloud.
• Digital Engineering and Consulting: Custom software development, platform engineering, and technology strategy for enterprise clients undergoing broad digital transformation.

Limitations: Minimum engagement thresholds and consulting overhead create friction for focused projects. If your scope is a bounded AI engineering initiative rather than a broad enterprise transformation, the commercial model is likely mismatched.

How Capgemini Is Similar to Globant: Both have positioned their 2026 AI offerings around integrating AI directly into engineering workflows rather than selling it as a separate product layer on top of delivery.

How Capgemini Is Different from Globant: Globant’s Latin American delivery base makes it a natural fit for daily collaboration on a specific digital product. Capgemini’s strength is industrial-scale modernization across large, complex technology estates, a different problem profile that calls for a different engagement structure.

9. Tata Consultancy Services

Tata Consultancy Services, founded in 1968 and headquartered in Mumbai, India, is one of the world’s largest IT services companies with more than 600,000 employees. It covers application development, cloud, AI, and managed services with global engineering delivery. Gartner includes TCS among Globant’s current alternatives. It delivers across financial services, manufacturing, retail, and technology at a scale few firms can match.

Best for: Large enterprises with complex, multi-region technology delivery needs that require offshore scale, broad managed services, and a global engineering bench.

Key services:

• Global Application Development and Management: End-to-end software development, integration, and application management for large enterprise estates, with delivery teams across India, Latin America, and Europe.
• AI and Cloud Transformation: AI model integration, cloud migration, and platform modernization across AWS, Azure, and Google Cloud through TCS’s dedicated practices.
• Managed IT Services: Vendor-owned delivery of defined service outcomes at scale, covering infrastructure, applications, and operations for global enterprise clients.

Limitations: Offshore-heavy delivery creates time zone friction for US product teams. If sprint ceremonies and same-day code review turnaround matter, the delivery model will slow them down.

How TCS Is Similar to Globant: Both can staff engineering programs in the hundreds for large enterprise clients. Each has also integrated AI into its core delivery model, so AI capability comes with the engagement.

How TCS Is Different from Globant: Globant positions around product engineering quality and AI-native commercial models. TCS competes on delivery volume, managed service breadth, and offshore cost efficiency. The decision comes down to whether the buyer prioritizes engineering proximity and product depth, or scale and cost per hour.

10. IBM Consulting

IBM Consulting, operating from Armonk, New York (IBM founded 1911), delivers AI strategy and implementation through watsonx, hybrid cloud architecture, enterprise application modernization, mainframe migration, data engineering, and cybersecurity. Both Gartner and G2 surface it as a Globant alternative for enterprise AI and cloud programs. IBM’s technology platform is the backbone of its delivery model.

Best for: Large enterprises running IBM-ecosystem technology or complex hybrid cloud architectures that need AI strategy, mainframe modernization, or data platform work at enterprise scale.

Key services:

• watsonx AI Implementation: AI strategy, model selection, and production deployment using IBM’s watsonx platform, covering NLP, generative AI, and ML model integration for enterprise use cases.
• Hybrid Cloud Architecture: Design and implementation of hybrid cloud environments combining IBM Cloud, AWS, Azure, and on-premises infrastructure.
• Mainframe and Enterprise Modernization: Migration and modernization of mainframe applications and legacy enterprise systems, with IBM tooling and platform integration throughout.

Limitations: IBM Consulting’s depth is tied to the IBM ecosystem. Organizations on non-IBM stacks need to evaluate whether the engagement introduces platform dependencies that outlast the project.

How IBM Consulting Is Similar to Globant: Both firms are in the business of taking an enterprise AI program from strategy to shipped software. That end-to-end accountability is what puts them on the same shortlist for large AI transformation programs.

How IBM Consulting Is Different from Globant: Globant’s AI delivery is platform-agnostic, with active alliances across Anthropic, OpenAI, AWS, and NVIDIA. IBM Consulting’s AI delivery is anchored in watsonx, which matters when the buyer hasn’t committed to an AI platform and wants vendor flexibility from the start.

What Are Globant Competitors by Service?

Globant has different competitors depending on the service a client is looking for. The comparison changes when the priority is building software, modernizing an existing application, adding engineering capacity, or delivering AI work. Each type of engagement calls for a different combination of technical expertise, delivery model, and level of ownership.

AI Software Development

For AI software development, the key question is how deeply AI becomes part of software delivery and how teams validate, secure, and control its output. GoGloby focuses on AI-native software delivery, while Thoughtworks and EPAM integrate agentic AI into engineering workflows. Globant applies AI through AI Pods and CODA. Accenture and Cognizant fit larger enterprise AI programs where software delivery connects with broader transformation and IT services.

Custom Software Development

When evaluating custom software, focus on how the provider turns a product idea into reliable software and owns delivery through production and maintenance. EPAM, Thoughtworks, and Endava are strong engineering-led options, while Cognizant and BairesDev provide broader engineering capacity. Accenture, Capgemini, IBM, TCS, Deloitte, and Softtek also appear among Gartner’s Globant alternatives.

Application Modernization

For application modernization, start by assessing how well a provider understands an existing system, because SaaS, mainframe, and cloud workloads create different constraints. The goal is to understand what can change safely and choose a modernization path that fits the application and its dependencies. GoGloby and Thoughtworks fit modern software estates. EPAM and Accenture cover cloud modernization, while IBM brings mainframe expertise, and Capgemini and Cognizant suit broader portfolios.

Data and AI

For data and AI, Globant competes with providers that modernize data environments and build AI systems for enterprise use. IBM, Accenture, Capgemini, and TCS are strong alternatives for large-scale data transformation and AI implementation. Cognizant also combines data and AI with application services, while EPAM brings data engineering into broader software and product development.

Product and Experience Engineering

When comparing product and experience engineering providers, focus on product design, UX, engineering, and digital product development. Globant competes strongly through its combination of creativity and technology. EPAM and Thoughtworks bring product engineering depth, while Accenture and Capgemini combine design with broader transformation. Endava also connects product engineering with digital experience work.

How Is Globant Different From Its Competitors?

Globant differs from its competitors primarily through its delivery model. It combines technology delivery with product and design capabilities, while its AI services introduce a different approach to how work is delivered and priced.

AI-Native Delivery Model

Globant’s AI model changes what the client evaluates when buying AI services. The focus shifts from the size of the delivery team to the work it produces. This makes clear deliverables and measurable acceptance criteria important parts of the engagement. Providers using traditional time-based models give buyers a different way to structure and evaluate the work.

Product and Design DNA

The Studio model matters most when product and engineering decisions need to stay closely connected. Globant puts product strategy, UX, and engineering within the same engagement. EPAM and Thoughtworks also cover these areas, so the comparison comes down to how much of the engagement depends on connecting product and design work with engineering execution.

Global and Nearshore Delivery

Globant gives US engineering teams a delivery option with stronger time-zone overlap than providers that rely more heavily on offshore teams. That overlap affects how quickly teams handle meetings, reviews, and technical decisions during the same workday. TCS and Cognizant offer broader global delivery capacity, so Globant’s position is more differentiated when day-to-day collaboration matters as much as delivery scale. 

Platform Ecosystem

Globant supports projects that span several technology platforms. Its ecosystem covers cloud, AI, and enterprise technologies, giving clients access to capabilities across different parts of the stack. This differs from providers with deeper specialization in a smaller set of technologies. 

Scale vs. Specialization

Globant occupies a middle ground between large systems integrators and specialist technology firms. It brings multiple technology, product, design, and AI disciplines into one provider without the delivery scale of the largest global firms. The right comparison depends on the project. Narrow technical problems favor specialist depth, while large global programs favor delivery capacity. 

What Are the Globant Outsourcing and Staff Augmentation Alternatives?

The main alternatives to Globant include BairesDev for nearshore capacity, TCS and Cognizant for managed engineering at scale, EPAM and Endava for dedicated product teams, and GoGloby for forward-deployed engineering. The right choice depends on how much delivery responsibility your team wants to keep in-house. 

Staff Augmentation

The vendor provides engineering capacity, while the client owns delivery, architecture decisions, and team management. BairesDev competes most directly here. Because the client manages the team, vetting and engineer selection determine who joins the team, while replacement terms and team continuity affect how that capacity is maintained. Timezone and rates also shape the arrangement.

Dedicated Product Teams

Persistent cross-functional teams own a defined product area alongside internal engineering. EPAM, Endava, and Globant are alternatives within this model. Engineering leadership and product ownership determine how the external team works with internal engineering, while QA and DevOps inclusion, team continuity, and scalability affect how the team supports the product over time.

Managed Engineering

The vendor owns a defined service outcome, including SLAs, technical leadership, operational responsibility, and continuous improvement. TCS, Cognizant, and Capgemini provide this model at enterprise scale. This shifts more responsibility for the service or delivery outcome to the provider than staff augmentation.

Forward-Deployed Engineering

Engineers work inside the client’s environment, including their repos, pipeline, backlog, and review process. Ownership runs from discovery to production outcomes, not just delivery against a spec. GoGloby offers this model. This gives teams an alternative to conventional outsourcing when AI-native transformation requires engineers to work directly within the existing engineering process.

For teams evaluating delivery models beyond traditional outsourcing, forward-deployed engineering offers another way to structure software delivery around the client’s existing environment. Our guide on the 10 Best Forward Deployed Engineering Companies in 2026 shows how different providers approach this model.

Nearshore vs Offshore

Nearshore, such as Latin America for US clients, provides timezone overlap for daily collaboration and code review turnaround. Language, travel, and collaboration also affect how closely the teams can work together. Offshore provides cost efficiency, broader talent availability, and greater delivery volume. Regulatory requirements and scaling needs can also affect the choice. Globant and BairesDev compete on nearshore, while TCS and Cognizant compete on offshore and global-delivery scale.

Who Are Globant’s Publicly Traded Competitors?

Globant’s publicly traded competitors include EPAM, Accenture, Cognizant, Endava, Capgemini, TCS, and IBM. These companies overlap with Globant across different technology services, but they are not equivalent from a financial or procurement perspective. 

Public IT Services Peers

Globant’s 2025 annual report identifies EPAM, Endava, Accenture, Capgemini, Cognizant, and TCS among its competitors. EPAM and Endava are among the closer publicly traded peers for digital product engineering and software development. Accenture, Capgemini, and Cognizant operate at a broader enterprise-services scale, while TCS and IBM compete across large AI, cloud, and managed services programs. GlobalData identifies EPAM as a key Globant peer, while MarketBeat groups Globant with several of these companies based on business and revenue characteristics. 

Stock Peers vs. Service Competitors

A stock peer is not necessarily a service competitor. Financial comparisons focus on metrics such as valuation, revenue growth, and profitability, while procurement decisions focus on capabilities, delivery models, and service fit. For example, EPAM can be both a financial peer and a service competitor because it overlaps with Globant in software engineering and digital services. A financial screening tool may also group companies together based on size or industry, even when their service offerings differ significantly. 

Competitive Market Position

Globant’s own 2025 filing names large global consulting firms, digital agencies, traditional outsourcers, internal product teams, and newer technology-services entrants as its competitive landscape. It identifies technical expertise, end-to-end capability, reputation, responsiveness, and price as key competitive factors, a useful lens for buyers building their own evaluation framework.

For teams comparing large publicly traded technology providers, Accenture offers another useful point of comparison. 10 Best Accenture Competitors & Alternatives in 2026 breaks down how other providers compare with Accenture. 

Market Share Caveat

Globant does not have one meaningful market share figure across all of its services. Software development, AI services, digital transformation, and staff augmentation use different market definitions and competitor sets. Any market share figure should therefore specify the market category and year. 

How Should Teams Choose a Globant Alternative?

Teams should choose a Globant alternative by defining the specific outcome first, then matching it to a delivery model and comparing vendors against that outcome. The goal is to find the provider whose capabilities, ownership model, and delivery approach best match the work required.

1. Define the Outcome

Name the specific result required before opening any vendor conversation. For example, “Deploy an Agentic AI workflow into our claims processing module” and “add 10 production-proven engineers for US timezone coverage” create completely different competitor sets. Vague goals make vendor proposals harder to compare because each provider can define success differently.

2. Choose the Delivery Model

Once the outcome is clear, decide how much of the delivery process your team wants to control. Staff augmentation adds engineers to a team your managers already direct, while managed delivery gives the provider more responsibility for executing a defined scope. The right model depends on the ownership and management capacity your outcome requires. 

3. Test Engineering Depth

Require engineers to work through a real architecture problem or a relevant section of your codebase. Capability slides and partnership badges are not evidence. The strongest signal is seeing how a senior engineer handles your actual system, constraints, and technical decisions.

4. Verify AI Delivery

Check how the provider handles AI-generated code after it is created. Opsera’s 2026 report found that AI reduces time-to-PR by up to 58%, but AI-generated pull requests wait 4.6x longer in review and introduce 15-18% more security vulnerabilities. In other words, AI can speed up code creation while slowing down the steps that follow. When comparing vendors, assess how each provider handles those steps, including code review, testing, security, and human approval before production. 

5. Check Team Continuity

Ask who selects engineers, what the seniority mix is, how replacement works, and who retains delivery knowledge when someone leaves. The goal is to protect delivery continuity as the team changes.

6. Measure Outcomes

Ask what baseline is captured before the engagement starts and which metrics should change. Activity metrics such as velocity and story points measure output. Business outcomes such as cost per shipped feature and production reliability show whether the engagement is creating value.

7. Compare Total Cost

Hourly rates are only one part of the total cost. Include vendor fees, internal management time, cloud and model spend, review overhead, and rework from ungoverned AI output.

8. Start With a Bounded Engagement

Test technical fit on one production-relevant scope with explicit acceptance criteria before scaling. Avoid pilots that run only in a demo environment. They will not surface integration constraints, data access limits, or real security requirements. 

Read more: 10 Best AI Test Automation Tools in 2026: A Complete Guide and 10 Best LLM Development Companies in 2026.

Conclusion

Choosing a Globant alternative comes down to how well the provider can support the work after the engagement starts. The strongest fit gives your team clear ownership, a delivery approach that matches the project, and enough technical control to move the work into production.

Start by defining the outcome and the responsibilities the provider will own. Narrow the list to 2–3 candidates, then test each one against a production-relevant scenario before signing. This gives you a clearer basis for choosing a partner than comparing service lists alone.

FAQs

Sergey Matikaynen / CTO

Article author

Sergey Matikaynen is Co-Founder and CTO of GoGloby, where he owns the engineering standard behind 4x Applied AI Engineering. He has spent 16+ years building and leading software teams for companies across the US, Canada, and Europe — software architecture, agile delivery, and engineering leadership. At GoGloby, he sets the technical bar that Applied AI Software Engineers are vetted against, including certified Agentic SDLC mastery. He is a LinkedIn Top Voice in software development.

View profile