In a move that reflects the growing convergence of AI, infrastructure data, and enterprise software, Globant has been named an Autodesk Tandem Digital Twin Solution Provider, extending a 15-year collaboration with Autodesk. The announcement signals a deeper push into digital twin technology as enterprises look to connect physical assets with real-time intelligence systems.

From BIM to Real-Time Intelligence

At its core, the partnership focuses on accelerating adoption of Autodesk Tandem, a cloud-based digital twin platform designed to bridge design data with live operational systems. Digital twins—virtual replicas of physical environments—are increasingly being positioned as a foundational layer for what industry leaders are calling “Physical AI.”

Physical AI refers to systems that combine real-world data from infrastructure, sensors, and operations with machine learning models to enable predictive decision-making. In practical terms, this allows enterprises to move beyond static building information modeling (BIM) into continuously updated, intelligent operational environments.

Globant’s role centers on implementation, system integration, and operational data enablement. Through its Digital Twins Practice, the company will help enterprises connect fragmented data sources—ranging from building management systems to IoT sensors—into unified digital environments powered by Autodesk Tandem.

This transition is significant. Traditional BIM systems have long been used in architecture and construction, but they often remain siloed after project completion. By contrast, digital twins extend the lifecycle value of those models, turning them into live operational tools.

Why This Matters for Enterprise Infrastructure

The partnership targets complex, high-value environments such as airports, smart buildings, manufacturing plants, and logistics hubs—settings where real-time visibility and predictive maintenance can directly impact efficiency and cost.

For enterprise teams, the value proposition is straightforward: digital twins enable organizations to monitor assets continuously, simulate operational scenarios, and anticipate failures before they occur. This has implications for industries ranging from energy and healthcare to retail and transportation.

The announcement also aligns with broader enterprise trends. Major technology ecosystems—including Google Cloud, Microsoft Azure, and Amazon Web Services—have been investing heavily in IoT, AI, and data infrastructure capabilities that support digital twin deployments. Autodesk Tandem fits into this landscape as a specialized layer focused on built environments and infrastructure intelligence.

Expanding Beyond Construction

One of the more notable aspects of the collaboration is its focus on expanding digital twin use cases beyond architecture and engineering workflows. While Autodesk has historically been associated with design and construction software, Tandem is increasingly positioned as an operational platform.

Globant’s Digital Twins Practice is targeting sectors such as manufacturing and logistics, smart retail environments, energy infrastructure, and life sciences. These industries share a common challenge: managing complex physical systems that generate large volumes of data but lack unified intelligence layers.

By integrating design data with operational systems, the partnership aims to enable predictive maintenance, energy optimization, and operational automation—key capabilities in modern enterprise digital transformation strategies.

Competitive Landscape and Differentiation

The digital twin market is becoming increasingly crowded. Enterprise platforms from Microsoft (Azure Digital Twins), Siemens, and Dassault Systèmes are all competing to define the category. Meanwhile, Salesforce and Adobe are approaching adjacent opportunities through customer data and experience platforms rather than physical infrastructure.

Autodesk Tandem differentiates itself through its deep integration with design workflows and BIM data, giving it a strong foothold in industries where infrastructure design is critical. Globant, on the other hand, brings system integration expertise and AI-driven delivery models, which are often required to operationalize digital twin initiatives at scale.

This combination positions the partnership as a bridge between design-centric platforms and enterprise IT environments—a gap that has historically slowed adoption.

Market Momentum Behind Digital Twins

The timing of the announcement aligns with rapid market growth. According to MarketsandMarkets, the global digital twin market is expected to expand from approximately $21.14 billion in 2025 to $149.81 billion by 2030. This surge is driven by increasing adoption across manufacturing, infrastructure, and logistics sectors.

Additional research from IDC suggests that by 2027, more than 40% of Global 2000 companies will be using digital twins to improve operational efficiency and resilience. Meanwhile, Gartner has identified digital twins as a key enabler of intelligent infrastructure and autonomous operations.

These projections underscore why companies like Globant and Autodesk are doubling down on the space: digital twins are moving from experimental deployments to core enterprise infrastructure.

What It Means for Enterprise Marketing and Data Teams

While digital twins are often discussed in the context of engineering and operations, their implications extend into marketing technology and customer experience.

For example, smart retail environments can use digital twins to analyze foot traffic patterns and optimize store layouts in real time. Event venues and smart buildings can personalize experiences based on occupancy data and behavioral insights. In logistics, real-time visibility can improve delivery experiences and supply chain transparency.

This convergence of physical and digital data creates new opportunities for marketing analytics, customer data platforms (CDPs), and AI-driven personalization—areas where companies like Salesforce and Adobe are already investing heavily.

In this sense, digital twins are not just an infrastructure innovation—they are becoming a data layer that feeds into broader enterprise decision-making ecosystems.

Looking Ahead: From Proof of Concept to Scale

Globant expects to roll out multiple proof-of-concept deployments by 2026, signaling a near-term focus on validating use cases across industries. The broader challenge will be scaling these deployments across enterprise environments that are often fragmented and legacy-heavy.

Success will depend on more than technology. Organizations will need to align data governance, integration strategies, and AI capabilities to fully realize the benefits of digital twins.

Still, the direction is clear. As enterprises seek to unify physical and digital operations, partnerships like this one are likely to play a central role in shaping the next phase of digital transformation—one where real-world environments become as measurable and optimizable as digital platforms.

Market Landscape

The digital twin ecosystem is evolving into a core layer of enterprise digital infrastructure, intersecting with AI, IoT, and cloud computing. Platforms from Microsoft, Siemens, and Autodesk are competing to define standards, while integration partners like Globant are enabling real-world deployment at scale.

As enterprises increasingly prioritize real-time data and predictive analytics, digital twins are emerging as a bridge between operational technology (OT) and IT systems—unlocking new efficiencies across industries.

Top Insights

• Globant’s designation as an Autodesk Tandem solution provider strengthens enterprise adoption of digital twin platforms by combining system integration, AI capabilities, and operational data enablement across complex industries.
• The partnership accelerates the shift from static BIM models to real-time, predictive digital twins, enabling enterprises to optimize infrastructure performance and reduce operational risks.
• Rapid market growth, projected to reach nearly $150 billion by 2030, highlights increasing enterprise demand for AI-powered infrastructure intelligence across manufacturing, logistics, and smart environments.
• By extending digital twins into retail, healthcare, and energy sectors, the collaboration expands use cases beyond construction into broader enterprise digital transformation initiatives.
• Integration with cloud ecosystems and enterprise platforms positions digital twins as a foundational data layer for AI-driven decision-making and customer experience optimization.

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