Insurance uses Big data to deal with!


Big Data in Insurance Industry originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze.


Summary

Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors.

The insurance industry is no exception to this trend, where Big Data has found a host of applications ranging from targeted marketing and personalized products to usage-based insurance, efficient claims processing, proactive fraud detection and beyond.

Report Study

The report estimates that Big Data investments in the insurance industry will account for more than $2.4 Billion in 2018 alone.
Led by a plethora of business opportunities for insurers, reinsurers, insurance brokers, InsurTech specialists and other stakeholders.
The investments are further expected to grow at a CAGR of approximately 14% over the next three years.

In-depth assessment of Big Data in the insurance industry -

Key market drivers
Challenges
Investment potential
Application areas
Use cases
Future roadmap
Value chain
Case studies
Vendor profiles and strategies. 

The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2018 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 8 application areas, 9 use cases, 6 regions and 35 countries.

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