Global Predictive Analytics Market Size, Share, Analysis and Forecast To 2020: Hexa Research

Hexa Research
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Global Predictive Analytics Market Research, Size, Share, Analysis
and Forecast to 2020: Hexa Research
Increasing demand for accurate forecasting in business activities is the key driver for predictive
analytics market. Predictive analytics is the activity of data mining which deals with extracting
important data from given database, used to analyse the trends and behaviour patterns to
predict the future. It is also used to forecast the results. Predictive analysis relies on defining
relationship between different variables behaviour from past occurrence and exploit them to
predict the future outcome.
Database management, forecasting, data warehouses, data mining, CRM analytics, smart,
logistics, decision making process, data visualization in dashboards and increasing demand of
business having analytic capabilities are expected to drive the predictive analytics technology in
coming six years. However, traditional measures, technological incapability and cost of
developing predictive analytics software are anticipated to challenge the market growth over the
forecast period. Increasing demand for more than a point solution is expected to offer the
opportunity for the growth of predictive analytics market in near future.
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Application Insight
Banking, financial service & insurance (BFSI) has impact of predictive analytics on processes of
loan, insurance, financial activities and fulfilment of financial needs which is going to impact the
predictive analytics market positively. Environment segment uses predictive analytics for
weather forecast, natural calamities forecast, flights safety among others. In government
segment, predictive analytics decreases waste, fraud and abuse, maximizes productivity of
agency personnel, drives smarter decisions within government agencies and automates manual
processes which are expected to expel the growth of the market. Healthcare segment utilizes
predictive analytics in chronic disease management, patient care, hospital administration and
supply chain efficiencies, which are expected to drive the market growth in coming years. In
industries and retail business, predictive analytics helps to define a view of customers by
analyzing the wealth of data within the organization. Retail business is expected to witness the
highest growth over the forecast period. Sports segment uses predictive analysis for playertracking systems to understand how individual players move through every passage of play and
improve performance which is going to impact the market growth positively. Transportation is
made advanced by using predictive analytics activities such as sensors in passenger counting,
vehicle locator systems, ticketing and fare collection systems. Telecom industry uses predictive
analytics in departments such as marketing, sales and CRM by implementing churn, cross-sell
and up-sell and pricing optimization. Transportation and telecom industries are expected to
witness the fastest growth in near future.
Service Type
The predictive analytics facilitates to solve the increased awareness of fraud. Predictive
analytics deals with emails, chat messages, phone records and other structured and
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unstructured data which enables security and lessen the chances of fraud. These factors are
expected to impact the growth of the market positively. In marketing, predictive analytics is used
to lift the sales from previous year by accurate forecasting and companies adopt best practices
associated with developing and using data-driven customer insights. The decisions are taken
based on the analysis of behavioral data. These activities are going to expel the market growth
over the forecast period. Predictive operational analytics helps to represent actions and counter
actions taken to manage and improve performance and to get operations back on track if
something has gone awry. These operational activities enhances the efficiency in retail sector
with the help of predictive analytics and are anticipated as the major factors to drive the market
in coming years. Predictive analytics solves risk problem connected to any decision in business
owing to the precised decision taken by data analytics and going to drive the market growth.
Regional Insight
North America has the largest market share in the predictive analytics market due to massive
amount of data deluge and entrance in multiple domains. Its applications are largely towards
manufacturing, healthcare, transportation, logistics, mobile device and broadband technology
domains in North America. In Asia pacific, the countries including China, Japan, India, and
Australia are expected to witness an increase in the adoption rate of predictive analytics over
the forecast period. Middle East and rest of the world is expected to witness growth in similar
line.
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Competitive Insight
Providers of predictive analytics technology includes SAS predictive analytics, IBM, Revolution
Analytics, Oracle, Statsoft, FICO, Salford Systems, TIBCO, Oracle Advanced Analytics
RapidMiner, GraphLab Create, KXEN, STATISTICA, TIMi Suite, Pervasive, Portrait, Predixion,
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Data Science Studio, Angoss predictive analytics, H2O, Analytics solver, Viscovery Data Mining
Suite, Mathematica, Minitab, MATLAB and SAP InfiniteInsight.. IBM offers ensuring the data
being analyzed is safe, secure and accurate, predictive analytics software to make data-based
decisions and the task of handling all types of data and analytics. Oracle is one of the biggest
players in predictive analytics market providing software for database management, data ware
housing, data integration, database security and big data appliance.
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Predictive analytics is the activity of data mining which deals with extracting important data from given database, used to analyse the trends and behaviour patterns to predict the future.