Predictive analytics is the practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. Predictive analytics support organizations to predict future events so that they can plan and carry out strategies that improve the decision-making process.
The Brazilian predictive analytics market is expected to grow from $22.0 million in 2014 to $134.6 million in 2019 at a CAGR of 42.4% during the forecast period. Utility in multiple verticals is one of the main drivers of this market.
Brazil is a potential market for the implementation of predictive analytics solutions due to its usage in various growing verticals such as BFSI, healthcare, manufacturing, and others. Apart from this, users of business intelligence (BI), who focused on historical data analyzed it using numerous tools, could not identify future outcomes from this information. However, these users are now adopting predictive analytics in BI tools to estimate future opportunities and threats involved in several businesses in the market.
The Brazilian predictive analytics market report provides a competitive benchmarking of leading players in the industry such as SAS, IBM, SAP, Tibco, Oracle, and others in terms of their product offerings, key strategies, and operational parameters. The report provides market trends, overall adoption scenarios, competitive landscape, and key drivers, restraints, and opportunities in this market. It aims to estimate the current size and the future growth potential of this market across the different applications, verticals, and regions.
Report Options
The report has been segmented as follows:
- By Application: Customer Profitability, Workforce Management, Internal Fraud, Corporate Fraud, Credit Risk Management, and Others
- By Vertical: BFSI, Healthcare, Insurance, Government, Consumer Goods and Retail, Transportation and Logistics, Manufacturing, and Others
Customization Options
With the MMM assessment, we will best meet your company’s specific customization requirements. The following customization options provide an insight into comprehensive industry standards and a 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, and 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, 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, and contracts and partnerships which support generation of regional revenues
Vertical Analysis
- Analysis of different industrial verticals by technologies and solutions
- Industry verticals: Defense, Healthcare, BFSI, Retail, Manufacturing, Education, Security, Logistics, IT and Telecom, and others
Market Data Tracker
- Regional and country-specific market forecast and analysis
- Identification of key end-user segments by country
Channel Analysis
- Channel/distribution partners/alliances for tier-1 vendors
- Application-specific products being built towards the customer end of value chain
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 - Brazil, By Companies
4.1 Competitive landscape
4.2 Predictive Analytics-Teradata-Latin America - Brazil
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