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.
– Asia Pacific
– Eastern Europe
– Latin & Central America
– Middle East & Africa
– North America
– Western Europe
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Some Points from Table of Contents:
Chapter 1: Introduction
Key Questions Answered
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)
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
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
Machine Learning & Data Mining
NLP (Natural Language Processing)
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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