The major data analytics platforms exist, they are powerful, and they are available. And yet a large share of organizations in Latin America still fail to put the data from their monitoring networks to work. The gap is not in the technology; it is in who brings that technology to each scale of business.
A majority that still doesn't analyze
The regional figures reveal the size of the gap. Only 21% of companies in Latin America use data analytics as an enabler of their transformation, and it is estimated that companies analyze less than 5% of the data they hold.
The reading is straightforward. Most of the region's business fabric captures data and has yet to turn it into analysis. For that group, advanced analytics remains unfinished business.
Mid-sized companies, the most underserved
The gap concentrates in one segment. Academic reviews point out that data heterogeneity, the difficulty of interpreting models, and scalability challenges hold back the adoption of advanced analytics, particularly among small and mid-sized companies.
Market focus compounds the problem. The large global software vendors aim their offerings at large customers, with high-value contracts and lengthy implementations. The mid-sized organization is caught in the middle: it has the data and it has the pain, yet it doesn't fit the model of the large vendors.
A gap in the literature too
The technical literature confirms the pattern. Applications of advanced models on real-world data concentrate in Europe, Asia, and North America, with little documented presence in the urban and industrial settings of Latin America.
The gap as an opportunity
The full picture describes a clear opportunity. There is a broad universe of organizations in the region that already capture monitoring data, that lack the advanced analytics layer, and that are not the priority customer of the large vendors. That segment, with data available and attention scarce, is exactly where time-series analytics has the most to contribute.