Insurtech Market Analysis and Research Report, 2025A Chapter by Markets InsightsThe global insurtech market size was valued at USD 1.5 billion in 2018 and is expected to witness a CAGR of 43.0% from 2019 to 2025.The global Insurtech Market size is expected to reach USD
16.8 billion by 2025, registering a CAGR of 43.0% from 2019 to 2025, according
to a new report by Grand View Research, Inc. Increasing use of artificial
intelligence (AI) along with Big Data by insurance companies to enhance
customer targeting and to automate the decision-making processes is expected to
drive the market over the forecast period. Additionally, integration of
wearable devices into customer engagement metrics for insurance is further
anticipated to keep the market growth prospects upbeat. Insurance companies are heavily investing in
digitizing their business processes, which will help them to simplify the
transaction process and to improve the functionality of payment systems. The
adoption of insurtech allow insurance companies to detect errors, prevent
frauds, and access external data. Furthermore, technologies such as embedded
analytics help insurance companies to understand market pattern, consumer
behavior, and allow them to make informed business-related decisions. These
benefits of digital technologies are creating a significant demand for the
technology. Rising demand for implementation of automation,
improved communication between agents and clients, and better personalized
offerings are expected to drive the market over the forecast period. The
adoption of insurtech in various businesses has allowed insurance companies to
minimize the risks associated with liquidity, operation, and counterparty
credit. Additionally, increasing adoption of predictive analytics to identify
risk of fraud, triaging claims, and to identify outlier claims is anticipated
to propel market growth. Request
a sample copy or view summary of this report@ https://www.grandviewresearch.com/industry-analysis/insurtech-market Further key findings from the report suggest:
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