Key Industry trends impacting Insurance Industry
- Feb 20, 2018
- 3 min read
Environmental
With severe weather increased volatility is predicted, large and sudden surges in claims volume is expected
Regulation
Lower risk due to govt. regulations
Decreased claim volumes
Changes in customer preferences
Sharing economy resulting in on-demand, micro-duration usage based insurance coverage
Peer to Peer insurance
Social Media & Collaboration
Social media will provide complementary real-time information about claims severity and localization and help prevent fraud
Will provide insights into customer risk profiles and relationships
Will improve collaboration and improve decisions and processes both internally with carriers and externally with the distribution channel.
Knowledge sharing among agents, adjusters
Digital
Will improve the customer experience through omni-channel capabilities
Automation results in increase in self directed service
All in one policy insurance opportunities for cross-selling products & services
All in one place insurance with robo-advice on gaps and duplication in cover.
Proactive accurate and transparent information about claims status
Mobility
Geolocation, portability and photo, video capability
Customer can access policy/claims information on demand
Customer provides photos or videos for faster claims processing
Omni Bots/ Assistants
Automation digital agent - offer personalized insurance products in real-time
Claims process automation
Cloud
Insurance companies move from legacy systems to cloud based systems
Open source make it easy for new entrants to enter the market
API Capabilities
Integrate to customers and partners solutions
Integrating data, processes, and business functionality from legacy systems of record to newer systems of engagement like web, mobile and cloud.
Security
Cybersecurity products that prevent and protect against the breach or loss of data, and damage that might ensue.
Big data
Predictive Analytics
From reactive to a preventative business model
Better data on claims incidents and clearer insight into the cost of risks are likely to decrease overall claims volumes from large commercial policyholders.
Advanced image analytics - Eliminating the need for in-person property or vehicle damage inspections using photos and videos to estimate claims
Fraud prediction - better at detecting, investigating and controlling fraud
Access to quality, comprehensive data that can improve underwriting outcomes and create efficiencies for the consumer, agent and insurer
AI/NLP
Simple claims may be more often settled automatically
Robotic process automation reduce the need for more human interaction
Early detection of fraud, automate the quality audit
Reduce documentation time, automate estimation process
Shift from probabilistic to deterministic models
Changes in the industry workforce - fewer lower-skilled claims handlers
Sensors/IOT
Risk prevention - increasing penetration of connected sensors and devices in homes, cars, and businesses will reduce claims frequency and severity.
Data from factory and home sensors and telematics data from cars and trucks changes the game for proactive loss prevention.
Block chain/DLT
Claims processing via smart contracts, identity verification
Simplify settlement, recovery and subrogation processes
Satellites/Mini Satellites
Provide data such as flooding data, real time weather data, GPS data to reduce risk
Assess post event losses
Incorporate data such as weather prediction for risk assessment
Drones
Faster claims verification - eliminating the need for in-person property or vehicle damage inspections
Underwriting - video inspection
Connected Cars
UBI / PAYG / MHYD insurance models
New Auto ownership business model - single price for the car, maintenance, and insurance.
Connected Health/Medical advances
Tele health
Prevent injuries
Diagnose injuries faster
Wearables
Monitor health
Wellness support
Better and more frequent customer interaction
AR/VR/MR
Virtual driving tests
Agent training
Damage detection and assessment
Sales and marketing tool








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