Booming Growth in Predictive Analytics Software Market Analysis 2019 and Forecast to 2024 | Top Leading Players - IBM, Microsoft, Sisense, Oracle, Minitab, Anaconda, TIBCO, RapidMiner

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.

Predictive Analytics Software Market Covers the Table of Contents With Segments, Key Players And Region. Based on Product Type, Predictive Analytics Software Market is sub segmented into Cloud Based and On-Premise. On the Basis of Application, Market is sub segmented into Large Enterprises and SMEs.

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Major Players profiled in the Predictive Analytics Software Market report incorporate: IBM, Microsoft, Sisense, Oracle, Minitab, Wolfram, SAS, Anaconda, TIBCO, RapidMiner, KNIME, DataRobot, Dataiku, FICO, GoodData, Radius, Buxton, SAP, Alteryx, Nice.

Region segment: This report is segmented into several key regions, with sales, revenue, market share (%) and growth Rate (%) of Predictive Analytics Software in these regions, from 2014 to 2024 (forecast), covering: North America, Europe, Asia Pacific, Middle East & Africa and South America.

The report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.

Significant points in table of contents: Market Definition, Market Overview, Business Introduction, Segmentation (Region Level), Segmentation (Type Level), Segmentation (Industry Level), Segmentation (Channel Level), Market Forecast Year, Segmentation Type, Segmentation Industry, Market Cost Analysis, and Conclusion.

Report contents include

1 Analysis of the Predictive Analytics Software Market including revenues, future growth, market outlook

2 Historical data and forecast

3 Regional analysis including growth estimates

4 Analyzes the end user markets including growth estimates.

5 Profiles on Predictive Analytics Software including products, sales/revenues, and market position

6 Market structure, market drivers and restraints.

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