Mexico’s AI Market to Hit US$450 Million in 2025

The market for AI applications in Mexico is expected to be worth US$450 million in 2025, reports Lenovo and IDC's CIO Playbook 2025. This represents significant growth from the US$98 million recorded in 2024, driven by accelerated adoption in key sectors such as finance and manufacturing, with a priority focus on regulatory compliance and risk management.

"Mexico is positioned above the average for Latin America and even the world in AI investment, thanks to the concentration of key sectors that prioritize process optimization and new business models," says Alejandro Florean, Director, IDC Mexico, to El Economista.

According to the study, Mexican companies plan to increase their AI spending 2.4 times during 2025, looking into Generative AI solutions and hybrid models. This growth as a percentage of IT spending exceeds the Latin American average (2.4x vs. 1.8x in the region), with 64% of organizations opting for hybrid or on-premise schemes to ensure data sovereignty.

This hybrid approach combines cloud infrastructure with on-premise systems, balancing cost, security, and efficiency. Edge computing is also gaining relevance, especially in manufacturing and retail, where real-time processing is critical.

This accelerated growth, Portal RP reports, presents both opportunities and operational challenges that organizations must consider when implementing AI solutions, particularly in three key dimensions: technology architecture, data quality, and organizational capabilities.

Study Details

According to the CIO Playbook 2025, 78% of AI deployments in Mexico adopt a hybrid scheme that commonly combines public cloud infrastructure (such as AWS or Azure) with on-premise data centers, using architectures such as AWS Outposts or Azure Stack to maintain low latency in critical processes, according to the report. This preference aligns with the priorities of 64% of Latin American companies that prioritize security and data control.

"Companies avoid migrating 100% of their operations to the cloud due to costs and technical limitations in certain use cases," says José Carlos Huesca, Global HPC and AI Product Manager, Lenovo, to Portal RP. This model can offer greater flexibility, especially in industries with sensitive data or low latency requirements.

Despite the accelerated growth, the study reports that some key challenges could slow down the effective adoption of AI in Mexico. One of the main obstacles lies in data quality: 62% of companies face problems with unstructured or inconsistent information, which compromises model training. This situation is exacerbated in advanced stages of implementation, when organizations discover that their databases do not meet the necessary standards.

Another critical challenge is the talent gap. Forty-five percent of organizations that adopted generative AI did not invest in adequately training their teams, which has led to frustration and, in some cases, project abandonment. This lack of technical training limits companies' ability to integrate complex solutions and leverage their potential.

Although tools such as ChatGPT dominate the public conversation, practical applications of Generative AI in Mexico span strategic sectors with specific needs. In manufacturing, for example, it can be used to optimize supply chains and perform predictive maintenance, reducing downtime. The financial sector has adopted these technologies to generate automated reports and improve fraud detection, while in the public sector, advanced chatbots streamline citizen attention.

"Generative AI is not a magic bullet; it requires clear strategies and ongoing training," says Florean. The study emphasizes that many companies have underestimated the complexity of their implementation, acquiring tools without concrete plans or an assessment of their alignment with business objectives. This reactive approach has led to underutilization or failures in projects that, with proper management, could have delivered greater value.

Future outlook

This 359% year-on-year growth contrasts with the 210% projected for Brazil and 185% for Colombia in the same period. Investment in AI in Mexico is expected to maintain an annual growth rate of 35% until 2027, according to IDC projections.

The sectors with the greatest potential are healthcare, energy, and logistics, where AI-assisted diagnostics and automated fleet management projects are already being piloted. However, success will depend on overcoming existing barriers, particularly data standardization and technical training.