Though the predictive analytics market in Latin America is still at a nascent stage, it is expected to grow significantly during the forecast period. Countries such as Brazil, Colombia, Argentina, Chile, and Peru have good market opportunities. Many countries are struggling in this market due to the lack of advanced technologies and budget constraints. Companies in this region are planning to invest heavily in cost-effective analytics solutions and services. This would help predictive analytics providers to create revenue increasing opportunities for themselves. With organizations in this region planning to invest heavily in cost-effective analytics solutions, the predictive analytics market has a huge scope for development. This has opened opportunities for North American companies to expand their presence in this region. Brazil, Mexico, and Chile are the countries, where the penetration of solutions is high, in comparison to the other countries of the region. In Brazil, the increasing income levels, particularly among the younger population, demonstrate the growing socio-economic strata of the people in the country. Brazil is among the countries that have an enormous dependence on the manufacturing sector and is witnessing the increasing internet adoption as well. With organizations in Latin America planning to invest heavily in cost-effective analytics solutions and services, the predictive analytics market has a huge scope for development. However, the lack of skilled workforce to support technologies is expected to hinder the market growth to some extent.

Predictive Analytics Software in Latin America

Comparing 168 vendors in Predictive Analytics Software across 193 criteria.
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3.6 Online
The primary USP of IBM in Predictive Analytics Software is its ability to provide customers with advanced analytics capabilities and powerful insights which can help companies to make informed decisions and identify potential opportunities. IBM leverages its Machine Learning and Artificial Intelligence solutions to provide customers with an integrated analytics platform to identify trends, uncover patterns, and predict customer behavior in order to drive process automation, increase efficiency, and improve customer experience. IBMs predictive analytics software platform provides customers with the ability to generate actionable insights faster, uncover hidden relationships within their data, and make smarter decisions quickly.
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The USP of RapidMiner Inc in predictive analytics software lies in its ease of use. RapidMiner enables users to easily build predictive models with an intuitive drag-and-drop interface. It also provides powerful data preparation and visualization tools that empower users to quickly extract insights from existing datasets. Furthermore, RapidMiner also offers support for specialized use cases such as text mining and deep learning, making it an ideal choice for organizations seeking an all-in-one predictive analytics software.
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3.3
SAP Predictive Analytics software enables users to create, deploy and maintain various predictive models. These on-premise tools can help users anticipate future behavior and outcomes and better guide the decision-making ability to help grow the business. SAP Predictive Analytics Cloud works alongside the BI and planning tools to visualize, plan and predict context. The tool uses in-memory technology and machine learning to uncover relevant predictive insights in real-time.
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ORACLE Analytics Cloud’s Database Platform allows the use of seamless predictive analytics software within the platform, giving it an edge over other vendors. ORACLE Analytics Cloud helps mine various data types, eradicate movement of data, and deliver actionable insights. Application developers deploy this analytics model along with SQL and R functions. ORACLE Analytics Cloud helps predict the behavior of customers, the gap between the demand and supply, and make better marketing strategies.
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SAS Advanced Analytics provides users with better response time and faster insights provided by its in-memory analytics. SAS Advanced Predictive Analytics software helps organize data in a structured manner, making it easy to understand and present. It enables the user to analyze past, present, and future models using quality-tested algorithms. Automation of large-scale forecasts is also possible without the need for high levels of technical knowledge.
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Use the full potential of information to unleash the capability of the human resources of an organization.
2.6
GoodData is a cloud-based platform with high SLA availability and maintenance. It allows for easy incorporation of already existing data warehouses. It allows the platform to be integrated into web or mobile applications. It is one of the most dominant cloud data warehouse that meets most versatile analytics platform requirements.
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Extensive set of cloud services that enables associations to address business problems, construct, oversee, and convey applications on a massive, worldwide system utilizing various tools and frameworks. Microsoft Azure ML Studio can be used to prepare and manage the data they need for machine learning. It can improve productivity through its powerful capabilities that can integrate the current model cycle with that of the app lifecycle.
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NTT Data offers effective solutions that supplement the decision-making process in an organization. This is possible across multiple business platforms and across different development and deployment capabilities. With the help of a comprehensive analytics and business insight methodology, NTT Analytics Solutions can change a client organization into an information-driven pioneer.
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Teradata predictive analytics software provides “Flip the Switch” analytics which allows on-the-fly switching of best campaign users from reverse modeling to forward prediction. Teradata Analytics for Enterprise Applications eradicates the complexity of enterprise application integration, delivers real-time access to integrated data from ERP and other enterprise applications, as well as provides transparency and visibility into business and customer insights.
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2.3
Qlik helps enterprises around the globe move quicker, work smarter, and provide a start-to-finish answer to get an incentive out of information. QlikView helps users compare different sets of data from multiple sources and locations to deliver the most value. Its main features include, interactive participation in session-sharing is possible across different groups which enables users to share their insights formally or informally. It is also possible to access and load data from different locations and from different deployment modes – cloud, on-premise, or big data sources.
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