Predictive Analytics Software Market Growing Rapidly
by 2024
This report provides in depth study of “Predictive Analytics Software Market” using SWOT analysis i.e.
Strength, Weakness, Opportunities and Threat to the organization. The Predictive Analytics Software
Market report also provides an in-depth survey of key players in the market organization.
Global Predictive Analytics Software Market Synopsis:
The Global “Predictive Analytics Software Market” research 2019 highlights the major details and
provides in-depth analysis of the market along with the future growth, prospects and Industry demands
analysis explores with the help of complete report with 130 Pages, figures, graphs and table of contents
to analyze the situations of global Predictive Analytics Software Market and Assessment to 2024.
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This report studies the Global Predictive Analytics Software Market over the forecast period of 2019 to
2024. The Global Predictive Analytics Software Market is expected to grow at an impressive Compound
Annual Growth Rate (CAGR) from 2019 to 2024.
Predictive Analytics are used to analyze current data and historical facts in order to better understand
customers, products, and partners. It is also used to identify potential risks and opportunities. Predictive
analytics platforms tend to be very complex products and require advanced skill sets in order to use
them effectively. The predictive analytics market is expanding with the emergence of new applications
and technologies. Predictive analytics is being used in various domains including financial analytics, risk
analytics, marketing analytics, sales analytics, customer analytics, web and social media analytics, supply
chain analytics, and network analytics.
Increasing volumes of data generated across various industries, growing focus on market and
competitive intelligence, and the need for advanced analytics to predict future outcomes and customer
requirements are the key factors driving the growth of this market.
IBM is major provider of predictive analytics software and services. IBM Predictive Customer Analytics,
can take customer data from multiple cloud or on-premises data sources to create truly personalized
interactions, thereby boosting purchases, wallet share and loyalty. The role of IBM Predictive Customer
Analytics is to take customer data, apply predictive analytics and deliver the best action to front-line
systems so retail businesses can use the data to deliver an exceptional customer experience. IBM offers
a range of analytics tools which help retail companies gain insights from customer behavior and retail
data so they can make smart merchandising decisions that boost revenue growth.