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Houston, TX -- (SBWIRE) -- 03/30/2018 -- Global Internet of Things on Insurance Market Professional Survey Report 2018." IoT enabled devices help insurer provide data, which can be used to manage claims, reduce risk, and identify various frauds. Easy settlement of claims, creation of analytical value from obtained data, and development of flexible insurance products for various sectors of the market are some of the advantages of IoT in insurance technology. The privacy of the user identity and over dependency on technology limit the adoption of IoT in insurance. IoT and increased demand for IoT-based devices in insurance industry majorly drive the IoT insurance market. Further, growth in practice of cloud computing in insurance sector and improved insurance service owing to adoption of IoT also propel the market toward growth.
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Internet of Things on Insurance Market is expected to be worth USD +42 Billion by 2022, growing at a CAGR of +65 % between 2016 and 2022
Factors such as the growing adoption of Internet of Things (IoT) products in developed and developing economies, increase in the demand for cloud platforms and value-added services in insurance industries, and reduction in the cost of premium policies are the key drivers for the adoption of IoT solutions and services in insurance industries.
Some of the leading vendors: John Hancock, State Farm, Cyber Insurance, Precise Leads, Hometown Quotes, IQ Agents, Datalot, All Web Leads, NextGen Leads, InsuranceLeads.com, EverQuote Pro, NetQuote, Agent Insider, Contactability, ILeads, InsureMe, ABC Leads, ZipQuote, ProspectZone, LeadBot.
The market is segmented by insurance type, insurance application, and region. Based on insurances type, the market is classified into property & casualty insurance, health insurance, life insurance, and other insurance. The insurance application is further divided into automotive & transportation, home & commercial building, life & health, business & enterprise, consumer electronics & industrial machines, travel, and agriculture. Based on geography, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA..
The competitive landscape of the Global Internet of Things on Insurance Market has also been described in high detail. The competitive landscape section of the report presents the major vendors operating in the global market. These vendors are analyzed based on attributes such as their product profile, product introductions, SWOT analysis, and contact information. Each of the key players in the market is revealed in terms of their basic company data, key competitors, and presence of manufacturing bases. These players are also described according to their offerings in product types and technologies, the production costs, revenue generated, and overall price of these solutions.
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The market research report on the world market for Internet of Things on Insurance presents the size, status and forecast 2026 has a large compilation of market research studies that pertain to the tech industry, sub-sectors of the tech industry, and a wide number of different industries that the industry indirectly or directly affects. These elaborate reports come with an all-inclusive account of the analysis of trend and forecasts of the market together with correct figures, facts, and data pertaining to the market, statistics and many other significant data pertaining to the industry. Everything related to the said market is compiled in the said repository.
Table of Content:
Chapter 1 Internet of Things on Insurance Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis