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Why the Predictive Analytics Market is set to explode?

Author : Ronak Bora | Published Date : 2019-05-31 

Predictive Analytics Market can be segmented based on software solution, deployment model, application, and end use. On the basis of the software solution, the market can be classified into data mining & management, customer intelligence, performance management, financial intelligence, fraud and security intelligence, and decision support systems. In data mining & management, predictive analytics industry helps by offering a record of the past data which can be analyzed to determine what customers are most likely to renew or purchase.

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The U.S. is anticipated to dominate the predictive analytics market owing to the high adoption rate of cloud computing and several latest technologies. Technological advancements and massive data surge often faced by the organizations along with the growing demand for structured data are expected to drive the predictive analytics industry in the region. Rising demand for prediction of consumer behavior and trends offer significant growth opportunities for the industry. 

In the Asia Pacific region, predictive analytics market is expected to grow fast owing to the rapid developments in the economies such as China, India, and Japan. The need to provide real-time data analysis is contributing to the growth of the industry in the region. In addition, predictive analytics industry has a huge growth potential due to the high adoption and implementation of the technology in various sectors such as BFSI, IT and telecommunications, and SMBs. 

Predictive Analytics Market size is anticipated to witness growth over the forecast timeline owing to the emergence of e-commerce and the growing data traffic. Increasing demand for mobility and accessibility of cloud-based solutions coupled with the transformation from traditional business intelligence (BI) methods to help achieve high and advanced analytical techniques is offering several growth opportunities to the predictive analytics industry. 

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Precise data mining and predictive modeling can shorten the target customers and allow the organization to tailor its advertisements to each online customer, which ensures the marketing team to form multiple advertisements based on the previous search history of the visitors. These factors are expected to boost the data mining & management segment growth in the predictive analytics market over the forecast timeline.

Based on application segment, the predictive analytics market can be classified into risk management, networking management, sales and marketing management, human resource management, operations management, and supply chain management. In the risk management, the software can obtain potential areas of risk from the substantial number of data points collected by the organizations and going through them to detect risk and trends in the data which can influence the businesses. On implementation of these analytics solutions, organizations can quantify risk-related issues, evaluate, and formulate a course of action to reduce the risk factors.

The predictive analytics technology is being utilized by several businesses as a useful tool for reducing risks associated with fraudulent claims and for surging marketing efficiency. It is mainly used by organizations to increase their bottom line and competitive advantage. The presence of interactive and easy-to-use software, availability of faster & cheaper computers, and rising adoption of innovative technologies are contributing to the growth of the predictive analytics market. In addition, increasing volumes, data types, and the extraction of valuable insights by analyzing current data to help make predictions of future opportunities and trends is expected to fuel the industry growth. 

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About Author

Ronak Bora

Ronak Bora

A graduate in Electronics Engineering, Ronak writes for Fractovia.org and carries a rich experience in digital marketing, exploring how the online world works from a technical and marketing perspective. His other areas of interest include reading, music, and sport. He can be contacted at- [email protected] | https://twitter.com/RonakBora26

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