---
title: "Mining, logistics and agri-food face the biggest barriers to AI adoption in Peru — Marsanne Studio AI watch"
description: "In Peru, mining, logistics and agri-food are lagging behind banking and retail in AI adoption."
url: "https://marsanne.studio/en/ai-watch/mining-logistics-and-agri-food-face-the-biggest-barriers-to-ai-adoption-b6b8a6/"
lang: "en"
---

[Marsanne Studio](https://marsanne.studio/en/)

[← Back to home](https://marsanne.studio/en/ai-watch)

[← The AI watch](https://marsanne.studio/en/ai-watch)

Data study · 10 September 2026

# Mining, logistics and agri-food face the biggest barriers to AI adoption in Peru

Original title, in Spanish: “Minería, logística y agroindustria concentran las mayores barreras para adoptar inteligencia artificial en Perú”

**Publication**

Infobae (Argentina)

**Author**

[Esteban Salazar Herrada](https://www.infobae.com/autor/esteban-salazar-herrada/)

**Published on**

10 September 2026 · read in the page structured data

## Summary

In Peru, adoption of artificial intelligence is moving faster in banking, insurance, retail, education and entertainment, while the mining, logistics, construction and agri-food industries are falling behind, according to José Antonio Murillo, co-founder of Primero. This lag stems from the complexity of operations, the weight of manual processes and the disconnection between internal systems: organisations manage 957 applications on average, but only 27% are interconnected, according to MuleSoft's Connectivity Benchmark Report 2026. According to the EY Chief Data Officer Study 2026, 85% of Peruvian organisations have increased their AI budget, and the local market grew from 412 to 497 million dollars between 2024 and 2025. Yet only 3% of companies consider themselves fully prepared for generative AI. Primero cites client cases where data integration identified more than 10 million dollars in erroneous deductions, or automated 85% of a manual process.

Summary based on the full text of the article.

[Read the article on Infobae →](https://www.infobae.com/peru/2026/09/10/mineria-logistica-y-agroindustria-concentran-las-mayores-barreras-para-adoptar-inteligencia-artificial-en-peru/)

## Figures cited

-   85 %
    
    Share of Peruvian organisations that have increased their AI budget
    
    Peru, organisations surveyed, EY Chief Data Officer Study 2026
    
    > « el 85% de las organizaciones consultadas en Perú aumentó su presupuesto para inteligencia artificial. »
    
    Source: EY Chief Data Officer Study 2026
    
-   412 USD million
    
    Size of the local AI market in Peru in 2024
    
    Peru, 2024, Sonda Perú estimates
    
    > « el mercado local de IA pasó de USD 412 millones en 2024 a casi USD 497 millones en 2025. »
    
    Source: Sonda Perú
    
-   497 USD million
    
    Size of the local AI market in Peru in 2025
    
    Peru, 2025, Sonda Perú estimates
    
    > « el mercado local de IA pasó de USD 412 millones en 2024 a casi USD 497 millones en 2025. »
    
    Source: Sonda Perú
    
-   20 %
    
    Projected annual growth of the AI market in Peru to 2027
    
    Peru, projection to 2027
    
    > « La proyección apunta a un crecimiento cercano al 20% anual hasta 2027. »
    
    Source: Sonda Perú
    
-   3 %
    
    Share of Peruvian companies considering themselves fully prepared for generative AI
    
    Peru, companies
    
    > « Apenas 3% de las empresas peruanas se considera plenamente preparada para adoptar inteligencia artificial generativa, de acuerdo con los datos mencionados por Murillo. »
    
-   957 applications
    
    Average number of applications managed per organisation and share interconnected
    
    organisations, MuleSoft Connectivity Benchmark Report 2026
    
    > « las organizaciones administran en promedio 957 aplicaciones distintas, pero solo el 27% está conectado entre sí, según el Connectivity Benchmark Report 2026 de MuleSoft citado por Primero. »
    
    Source: MuleSoft, Connectivity Benchmark Report 2026
    
-   10 USD million
    
    Incorrect retail deductions identified through data integration at a Primero client
    
    a client in the consumer goods industry, Primero case
    
    > « esta integración permitió identificar más de USD 10 millones en deducciones de retail incorrectas que antes quedaban dispersas entre distintas plataformas. »
    
    Source: Primero
    
-   85 %
    
    Share of a process automated through technology at a client in the manufacturing industry
    
    a client in the manufacturing industry, Primero case
    
    > « la tecnología automatizó el 85% de un proceso que requería revisión manual concepto por concepto, mientras que el 15% restante continuó bajo revisión humana. »
    
    Source: Primero
    

## Classification

**Country**

Peru

**Company size**

All sizes

**Industries**

Industry and manufacturing · Transport, logistics, supply chain · Agriculture and food production · Banking, insurance, asset management, finance departments · Retail and distribution, e-commerce · Education and training · Media, communications, marketing · Construction, civil engineering, real estate

**Companies**

EY (study author), MuleSoft (study author), Sonda Perú (study author), Cámara de Comercio de Lima (study author), Primero (supplier)

**Keywords**

industry adoption, minería, logística, agroindustria, technological fragmentation, data integration

Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Infobae and its author. Entry translated from French by Claude Sonnet 5.5.