Big Data In The Insurance Market Current Trends, Business Opportunity and Outlook 2020 to 2030

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Big Data originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. 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.

SNS Telecom & IT 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, these investments are further expected to grow at a CAGR of approximately 14% over the next three years.

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o Detailed overview of Big Data In The Insurance Market
o Changing Big Data In The Insurance market dynamics of the industry
o In-depth market segmentation by Type, Application etc.
o Historical, current and projected Big Data In The Insurance market size in terms of volume and value
o Recent industry trends and developments
o Competitive landscape of Big Data In The Insurance Market
o Strategies of key players and product offerings
o Potential and niche segments/regions exhibiting promising growth.

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The Big Data in the Insurance Industry: 2018 2030 Opportunities, Challenges, Strategies & Forecasts report presents an in-depth assessment of Big Data in the insurance industry including 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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