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Latin America Predictive Analytics Market

  • Report Code: PR 1001
  • Publish Date: Upcoming
  
Description
Table of Contents
Customer Intelligence
Summary
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Predictive analytics is a unique business intelligence and data mining tool that includes a variety of statistical models, which are aimed at extracting useful information from data sets. It is mainly utilized in evaluating the present data sets, and anticipates future events and behaviors. These statistical techniques become quintessential requirements for organizations in order to improve decision making process by weighing future business risks and planning varied strategies to effectively overcome them.

 

The Latin American predictive analytics market is expected to grow from $112.3 million in 2014 to $392.3 million by 2019 at an estimated CAGR of 28.4% for the given period. The Latin American market has potential for implementation of predictive analytics across sectors, such as banking and financial services, manufacturing, transportation, and healthcare. This technique is already utilized in varied applications including customer relationship management, clinical decision support system, collection analysis, customer retention, direct marketing, and fraud detection among many others.

 

Owing to the advantages offered by these analytical tools, businesses are increasingly moving towards the adoption of such highly innovative techniques of forecasting. There are good opportunities for this market in countries, such as Brazil, Colombia, Argentina, Chile, and Peru. The drivers of this market include increasing adoption of these data mining tools in multiple domains, cloud adoption, and rigorous demand for data analysis.  

 

Prominent companies in the Latin American predictive analytics market includes FICO, SAS, IBM, SAP, Tibco, and others in terms of their  significant growth strategies, product offerings,  and operational parameters. The report offers key drivers and restraints, hidden opportunities, market trends, and competitive landscape in this market.

 

Customization Options

With the MMM assessment, you can also customize the report in alignment to your company’s specific customization requirements. The following customization options provide an insight into comprehensive industry standards and deep-dive analysis:

 

Solutions Matrix

  • Comprehensive analysis and benchmarking of applications and solutions in the predictive analytics market
  • Comprehensive analysis of software offered by vendors, such as SAS enterprise miner, IBM SPSS Modeler, Angoss predictive analytics, MATLAB among others

 

Competitive Benchmarking

  • Value-chain evaluation using events, developments, and market data for vendors in the market ecosystem across various industrial verticals, market segmentation, and categorization
  • Identification of hidden opportunities by connecting related markets using cascaded value-chain analysis; for example, validation of the growth in the predictive analytics market due to corresponding growth in the big data market

 

Vendor Landscaping

  • Vendor market watch and predictions, vendor market shares and offerings, categorization of adoption trends, and market dominance (leaders, challengers, followers, and nichers)

 

R&D Watch

  • Market movement tracking in R&D space; for instance, algorithm optimization firms, statistical analysis firms, deep learning firms, academic institutions (tier-1 firms and major emphasis on tier-2/3 firms)

 

Client Tracker

  • Listing and analysis of deals, case studies, R&D investments, events, discussion forums, alliances, and partners of tier-1 and tier-2/3 vendors for the last 3 years
  • Study of events such as awards and recognitions, contracts and partnerships that support generation of regional revenues, and offering of analytic solutions


1 Introduction
1.1 Objective of the study
1.2 Market Definitions
1.3 Market Segmentation & Aspects Covered
1.4 Research Methodology
1.4.1 Assumptions (Market Size, Forecast, etc)

 

2 Executive Summary

 

3 Market Overview

 

4 Predictive Analytics-Latin America, By Industries
4.1 Split By Geography
4.1 Predictive Analytics-Latin America - Brazil by Industries
4.2 Predictive Analytics-Latin America-Banking and Financial Services
4.3 Predictive Analytics-Latin America-Retail and Wholesale Distribution (ICT)
4.4 Predictive Analytics-Latin America-Insurance
4.5 Predictive Analytics-Latin America-Government (ICT)
4.6 Predictive Analytics-Latin America-IT Business (ICT)
4.7 Predictive Analytics-Latin America-Media and Entertainment (ICT)
4.8 Predictive Analytics-Latin America-Transportation and Logistics (ICT)
4.9 Predictive Analytics-Latin America-Healthcare and Life Science (ICT)
4.10 Predictive Analytics-Latin America-Manufacturing (ICT)
4.11 Predictive Analytics-Latin America-Energy and Utilities (ICT)
4.12 Predictive Analytics-Latin America-Travel and Tourism (ICT)
4.13 Predictive Analytics-Latin America-Others (ICT)
4.14 Predictive Analytics-Latin America-Sports and Gaming (ICT)

 

5 Predictive Analytics-Latin America, By Geographies
5.1 Predictive Analytics-Latin America - Brazil
5.1.1 Predictive Analytics-Latin America - Brazil, By Companies
5.1.1.1 Predictive Analytics-Teradata-Latin America - Brazil

 

6 Predictive Analytics-Latin America, By Companies
6.1 Split By Geography
6.2 Predictive Analytics-Latin America - Brazil by Companies
6.2 Predictive Analytics-Latin America-SAS
6.3 Predictive Analytics-Latin America-Other Companies
6.4 Predictive Analytics-Latin America-International Business Machines Corporation (IBM)
6.5 Predictive Analytics-Latin America-SAP
6.6 Predictive Analytics-Latin America-TIBCO SOFTWARE INC.
6.7 Predictive Analytics-Latin America-Oracle Corporation
6.8 Predictive Analytics-Teradata-Latin America
6.8.1 Predictive Analytics-Teradata-Latin America, By Geographies
6.8.1.1 Predictive Analytics-Teradata-Latin America - Brazil
6.9 Predictive Analytics-Latin America-General Electric

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Latin America Predictive Analytics