Big Data in the Insurance Market 2019: Demand, Size, Type, Applications, Share, Growth Opportunities, Potential, Global Trends & Industry Forecast to 2030

Big Data in the Insurance

Report Covers ”Global Big Data in the Insurance Market, Insights, Size, Share, Growth Rate, Revenue, SWOT Analysis, Applications, Industry Demand, Forecast, Potential, Type, Key Companies”.

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.

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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.

Mart Research 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.

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.

Regional Markets

– Asia Pacific

– Eastern Europe

– Latin & Central America

– Middle East & Africa

– North America

– Western Europe

Place the Order of Global Big Data in the Insurance Market Research Report:

Some Points from Table of Contents:

Chapter 1: Introduction

Executive Summary

Topics Covered

Forecast Segmentation

Key Questions Answered

Key Findings


Target Audience

Companies & Organizations Mentioned

Chapter 2: An Overview of Big Data

What is Big Data?

Key Approaches to Big Data Processing



MPAD (Massively Parallel Analytic Databases)

In-Memory Processing

Stream Processing Technologies


Other Databases & Analytic Technologies

Key Characteristics of Big Data





Market Growth Drivers

Awareness of Benefits

Maturation of Big Data Platforms

Continued Investments by Web Giants, Governments & Enterprises

Growth of Data Volume, Velocity & Variety

Vendor Commitments & Partnerships

Technology Trends Lowering Entry Barriers

Market Barriers

Lack of Analytic Specialists

Uncertain Big Data Strategies

Organizational Resistance to Big Data Adoption

Technical Challenges: Scalability & Maintenance

Security & Privacy Concerns

Chapter 3: Big Data Analytics

What are Big Data Analytics?

The Importance of Analytics

Reactive vs. Proactive Analytics

Customer vs. Operational Analytics

Technology & Implementation Approaches

Grid Computing

In-Database Processing

In-Memory Analytics

Machine Learning & Data Mining

Predictive Analytics

NLP (Natural Language Processing)

Text Analytics

Visual Analytics

Graph Analytics

Social Media, IT & Telco Network Analytics

Chapter 4: Business Case & Applications in the Automotive Industry

Chapter 5: Automotive Industry Case Studies

Chapter 6: Future Roadmap & Value Chain

Chapter 7: Standardization & Regulatory Initiatives

Chapter 8: Market Sizing & Forecasts

Chapter 9: Vendor Landscape

Chapter 10: Conclusion & Strategic Recommendations

Why is the Market Poised to Grow?

Geographic Outlook: Which Countries Offer the Highest Growth Potential?

Big Data is for Everyone

Evaluating the Business Value of Big Data for Insurers

Transforming Risk Management

Tackling Cyber Crime & Under-Insured Risks

Accelerating the Transition Towards Usage & Analytics-Based Insurance

Addressing Customer Expectations with Data-Driven Services

The Importance of AI (Artificial Intelligence) & Machine Learning

Impact of Blockchain on Big Data Processing

Adoption of Cloud Platforms to Address On-Premise System Limitations

Data Security & Privacy Concerns


Big Data Hardware, Software & Professional Services Providers

Insurance Industry Stakeholders


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