Mexico's Digital Maturity Hits Highest Growth Since 2020

Mexican companies recorded their largest year-over-year improvement in digital maturity since 2020, reaching an average score of 47% in 2026. The result reflects a six-percentage-point increase from 2025, signaling that organizations are accelerating digital transformation efforts. 

The findings come from the 2026 Digital Maturity Report, a study developed by Needed Education in a strategic alliance with KIO IT Services and in collaboration with EY, the American Chamber of Commerce of Mexico (AmCham Mexico), and Fleet. 

The report combines qualitative interviews with business leaders and quantitative assessments of more than 10,000 executives from large Mexican corporations to evaluate the country's progress in digital transformation.

Mexico Digital Maturity Metrics

Findings suggest that the discussion surrounding whether companies should adopt AI has largely ended. Instead, organizations are now facing a different challenge: scaling successful AI initiatives while demonstrating measurable financial returns.

According to the report, digital transformation progress is concentrated in specific business capabilities rather than across entire organizations. The digital ecosystem dimension reached 50%, increasing eight percentage points compared to 2025, while customer-centric marketing and sales rose to 49%, an 11-point increase.

Data centricity, although still one of the least mature capabilities, registered the fastest improvement. The category advanced 21 percentage points year over year, yet it remains 40 points below its target maturity level of 78%, highlighting that data management continues to represent one of the country's structural digital gaps.

The strongest operational gains occurred across functional business areas. Product teams nearly doubled their maturity score, increasing 98% from the previous year. Human resources grew 60%, followed by data teams at 54%, information technology at 39%, and both marketing and operations at 31%. According to the report, these results indicate that digital investment is beginning to translate into organizational capabilities rather than remaining limited to technology deployment.

AI represents one of the report's central findings. Researchers conclude that most organizations have entered a phase of broad adoption, where basic and experimental implementations coexist. Many companies have achieved isolated productivity improvements through small AI use cases, but relatively few have integrated those initiatives into enterprise-wide transformation strategies.

The organizations that demonstrate the highest levels of digital maturity share four characteristics: sustained investment in data capabilities over multiple years, clearly defined business use cases before selecting AI technologies, governance frameworks established early in deployment, and direct strategic involvement from executive leadership.

The study also documents measurable operational improvements where AI implementation follows structured governance. According to the report, organizations have reduced process execution times by between 40% and 80%, while some have doubled operational capacity without increasing headcount. Nevertheless, translating productivity gains into measurable financial performance remains one of the principal challenges facing enterprise AI adoption.

Worldwide Digital Transformation Metrics

Global market data reinforces that concern. The report cites S&P Global data showing that 42% of companies abandoned most of their AI initiatives during 2025, compared with 17% in 2024. The findings suggest that experimentation alone does not generate sustainable business value without governance, execution discipline, and measurable business objectives.

Juan Solana, Client and Industries Partner, EY Latin America, says that technology alone does not determine the success of digital transformation. "AI and other technologies are transforming entire industries; however, the critical point is the human dimension,” says Solana. “If organizations do not train their workforce and teach employees how to maximize these tools, technological capabilities remain limited."

Many organizations remain trapped in the "pilot purgatory," where companies continuously launch AI pilot projects without progressing toward enterprise-scale implementation, says Bruno Juanes Garate, CEO, KIO IT Services. According to Juanes, this pattern consumes organizational resources while delaying broader business transformation.

Pedro Casas, CEO and Executive Vice President, AmCham Mexico, says AI adoption does not occur uniformly across organizations. Resistance to change remains a factor, while AI technologies continue to require human supervision despite improving productivity. According to Casas, organizations are observing slower hiring rates as productivity increases, but they are not seeing direct workforce replacement.

Adoption Barriers in Mexico

The report also identifies structural barriers that continue to limit Mexico's digital competitiveness. Researchers estimate that the country remains between three and five years behind leading markets in practical AI adoption. 

Among the primary causes are limited data center infrastructure, comparatively low AI investment budgets, and insufficient visibility into digital adoption among small and medium-sized enterprises.

According to the study, corporate IT budgets in Mexico typically allocate between 2% and 10% to AI initiatives, compared with approximately 20%–30% in the United States. Researchers also note that SMEs represent 99% of Mexico's business landscape, yet comprehensive data measuring their AI integration remains limited, restricting visibility into the country's overall digital progress.

Lourdes Padilla, Head of Data and AI Strategy, Needed Education, says sustainable digital transformation occurs when organizations integrate technology with data, workforce capabilities, and strategic decision-making rather than treating technology as an isolated investment.

Measuring digital maturity provides organizations with actionable information rather than a performance score alone, says Gerardo Álvarez, Co-Founder, Fleet. According to Alvarez, the most important outcome of digital assessments is identifying where companies should invest in workforce capabilities to prepare for future technological change.