Big Data in the Insurance market is expected to expand at a CAGR of + 14% over the forecast period 2018-2030

Big Data in the Insurance Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts

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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“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.

The “Big Data in the Insurance Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the healthcare and pharmaceutical 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, 5 application areas, 37 use cases, 6 regions and 35 countries.

Table Of Content:
Chapter One Big Data in the Insurance Market Overview
Chapter Two Big Data in the Insurance Market Data Analysis
Chapter Three Big Data in the Insurance Market Technical Data Analysis
Chapter Four Big Data in the Insurance Market Government Policy and News
Chapter Five Big Data in the Insurance Market Manufacturing Process and Cost Structure
Chapter Six 2014-2019 Big Data in the Insurance Market Productions Supply Sales Demand Market Status and Forecast
Chapter Seven Big Data in the Insurance Market Key Manufacturers
Chapter Eight Big Data in the Insurance Market Up and Down Stream Industry Analysis
Chapter Nine: Marketing Strategy Big Data in the Insurance Market Analysis
Chapter Ten 2019-2025 Big Data in the Insurance Market Development Trend Analysis
Chapter Eleven Big Data in the Insurance Market New Project Investment Feasibility Analysis

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