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

Big Data In The Insurance Industry 2018-2030

Summary  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.  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  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.

Topics Covered  Big Data ecosystem  Market drivers and barriers  Enabling technologies, standardization and regulatory initiatives  Big Data analytics and implementation models  Business case, application areas and use cases in the insurance industry  Future roadmap and value chain

Big Data Application Areas Auto Insurance

Life Insurance

Property & Casualty Insurance

Health Insurance

Big Data Application

Reinsurance

Insurance Broking

Multi-Line Insurance

Table of Contents 1 Chapter 1: Introduction 1.1 Executive Summary 1.2 Topics Covered 1.3 Forecast Segmentation 2 Chapter 2: An Overview of Big Data 2.1 What is Big Data?

2.2 Key Approaches to Big Data Processing

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