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Predictive analytics Market (Components - Solutions, and Services; Organization Size - Large Enterprises, and Small & Medium Enterprises; Delivery Mode - Cloud-based Technology, and On-premise Installation; Application - Sales & Marketing Management, Supply Chain Management, Risk Management, Operations Management, Workforce Management, Network Management, and Other Applications; End User - Telecom & IT, BFSI, Healthcare, Government, Public Administration & Utilities, Retail and Ecommerce, Energy and Utilities, Manufacturing, and Others) : Global Industry Analysis, Trends, Size, Share and Forecasts to 2024

Predictive analytics Market (Components - Solutions, and Services; Organization Size - Large Enterprises, and Small & Medium Enterprises; Delivery Mode - Cloud-based Technology, and On-premise Installation; Application - Sales & Marketing Management, Supply Chain Management, Risk Management, Operations Management, Workforce Management, Network Management, and Other Applications; End User - Telecom & IT, BFSI, Healthcare, Government, Public Administration & Utilities, Retail and Ecommerce, Energy and Utilities, Manufacturing, and Others) : Global Industry Analysis, Trends, Size, Share and Forecasts to 2024

Report Code: ICT00114 Category: Electronics, ICT and Semiconductors Published: January, 2019

A recent report published by Infinium Global Research on predictive analytics market provides an in-depth analysis of segments and sub-segments in the global as well as regional predictive analytics market. The study also highlights the impact of drivers, restraints, and macro indicators on the global and regional predictive analytics market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast and dollar values of the global predictive analytics market. According to the report, the global predictive analytics market is projected to grow at a CAGR of 22.1% over the forecast period of 2018-2024.


Global Predictive analytics Market

 

Segment Covered

The report on global predictive analytics market covers segments such as components, organization size, delivery mode, application, and end user. On the basis of components, the sub-markets include solutions, and services. On the basis of organization size, the sub-markets include large enterprises, and small & medium enterprises (SMEs). On the basis of delivery mode, the sub-markets include cloud-based technology, and on-premise installation. On the basis of application, the sub-markets include sales & marketing management, supply chain management, risk management, operations management, workforce management, network management, and other applications. On the basis of the end user, the sub-markets include telecom & IT, BFSI, healthcare, government, public administration & utilities, retail and ecommerce, energy and utilities, manufacturing, and others.

 

Companies Profiled:

The report provides profiles of the companies in the market such as IBM Corporation, Oracle Advanced Analytics, Manthan Software Services Pvt. Ltd., SAP SE, NTT Data Corporation, Fair Isaac Corporation., Mu Sigma., TIBCO Software Inc, Microsoft Corporation, and SAS Institute Inc.

 

Report Highlights:

The report provides deep insights into the demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of the predictive analytics market. Moreover, the study highlights current market trends and provides forecast from 2018-2024. We also have highlighted future trends in the market that will affect the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players.


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