Big Data in the Insurance Industry to 2030 : Market Capacity, Generation, Investment Trends, Regulations and Opportunities

“Big Data in the Insurance Market”
WiseGuyReports.Com Publish a New Market Research Report On –“ Big Data in the Insurance Industry to 2030 : Market Capacity, Generation, Investment Trends, Regulations and Opportunities”.


“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.

Researcher 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. The forecasts are segmented for 8 horizontal submarkets, 8 application areas, 9 use cases, 6 regions and 35 countries.


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The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Topics Covered
The report covers the following topics: 
 – 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
 – 20 case studies of Big Data investments by insurers, reinsurers, InsurTech specialists and other stakeholders in the insurance industry
 – Future roadmap and value chain
 – Profiles and strategies of over 270 leading and emerging Big Data ecosystem players
 – Strategic recommendations for Big Data vendors and insurance industry stakeholders
 – Market analysis and forecasts from 2018 till 2030

Forecast Segmentation
Market forecasts are provided for each of the following submarkets and their subcategories:

Hardware, Software & Professional Services
 – Hardware
 – Software
 – Professional Services

Horizontal Submarkets
 – Storage & Compute Infrastructure
 – Networking Infrastructure
 – Hadoop & Infrastructure Software
 – SQL
 – NoSQL
 – Analytic Platforms & Applications
 – Cloud Platforms
 – Professional Services

Application Areas
 – Auto Insurance
 – Property & Casualty Insurance
 – Life Insurance
 – Health Insurance
 – Multi-Line Insurance
 – Other Forms of Insurance
 – Reinsurance
 – Insurance Broking

Use Cases
 – Personalized & Targeted Marketing
 – Customer Service & Experience
 – Product Innovation & Development
 – Risk Awareness & Control
 – Policy Administration, Pricing & Underwriting
 – Claims Processing & Management
 – Fraud Detection & Prevention
 – Usage & Analytics-Based Insurance
 – Other Use Cases

Regional Markets
 – Asia Pacific
 – Eastern Europe
 – Latin & Central America
 – Middle East & Africa
 – North America
 – Western Europe

Country Markets
 – Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

Key Questions Answered 
The report provides answers to the following key questions:
 – How big is the Big Data opportunity in the insurance industry?
 – How is the market evolving by segment and region?
 – What will the market size be in 2021, and at what rate will it grow?
 – What trends, challenges and barriers are influencing its growth?
 – Who are the key Big Data software, hardware and services vendors, and what are their strategies?
 – How much are insurers, reinsurers, InsurTech specialists and other stakeholders investing in Big Data?
 – What opportunities exist for Big Data analytics in the insurance industry?
 – Which countries, application areas and use cases will see the highest percentage of Big Data investments in the insurance industry?


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Table Of Contents – Major Key Points

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 Insurance Industry

Overview & Investment Potential

Industry Specific Market Growth Drivers

Industry Specific Market Barriers

Key Application Areas

Auto Insurance

Property & Casualty Insurance

Life Insurance

Health Insurance

Multi-Line Insurance

Other Forms of Insurance


Insurance Broking


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