Artificial Intelligence is disrupting every step across the insurance value chain. AI technologies such as machine learning and deep learning, natural language processing (NLP), machine vision, and robotic automation have the potential to reimagine the entire insurance lifecycle from customer acquisition to claims processing. Adoption of AI helps insurance companies to remain competitive in the market, drive operational excellence, and boost growth.
Machine learning and deep learning algorithms help to drive smart, automated applications such as healthcare diagnosis, predictive maintenance, customer service, automated data centers, self-driving cars, and smart homes. The increasing need to offer personalized insurance services and the growing need to automate the operational process are the factors driving the growth of AI in insurance market across the globe.
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Top Companies Profiled in this Report includes,
Microsoft Corporation (US), Amazon Web Services Inc. (US), IBM Corporation (US), Avaamo Inc (US), Cape Analytics LLC (US), Wipro Limited (India), ZhongAn (China), Acko General Insurance (India), Shift Technology (France), BIMA (UK), Quantemplate (US), Zurich Insurance Group (Switzerland), Lemonade (US), Trov (Japan), Slice (US)
After studying key companies, the report focuses on the startups contributing towards the growth of the market. Possible mergers and acquisitions among the startups and key organizations are identified by the report’s authors in the study. Most companies in the AI in Insurance market are currently engaged in adopting new technologies, strategies, product developments, expansions, and long-term contracts to maintain their dominance in the global AI in Insurance market.
AI in Insurance Market Segment by Technology:
- Machine Learning and Deep Learning
- Natural Language Processing (NLP)
- Machine Vision
- Robotic Automation
AI in Insurance Market Segment by Application:
- Claims Management
- Risk Management and Compliance
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Reasons for buying this report:
- It offers an analysis of changing competitive scenario.
- For making informed decisions in the businesses, it offers analytical data with strategic planning methodologies.
- It offers a seven-year assessment of the Global AI in Insurance Market.
- It helps in understanding the major key product segments.
- Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities.
- It offers regional analysis of the Global AI in Insurance Market along with the business profiles of several stakeholders.
- It offers massive data about trending factors that will influence the progress of the Global AI in Insurance Market.
This research report represents a 360-degree overview of the competitive landscape of the Global AI in Insurance Market. Furthermore, it offers massive data relating to recent trends, technological advancements, tools, and methodologies. The research report analyzes the Global AI in Insurance Market in a detailed and concise manner for better insights into the businesses.
Finally, the researchers throw light on different ways to discover the strengths, weaknesses, opportunities, and threats affecting the growth of the Global AI in Insurance Market. The feasibility of the new report is also measured in this research report.
Table of Contents
Global AI in Insurance Market Research Report 2019
Chapter 1 Global AI in Insurance Market Overview
Chapter 2 Economic Impact on Industry
Chapter 3 Market Competition by Manufacturers
Chapter 4 Production, Revenue (Value) by Region
Chapter 5 Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Production, Revenue (Value), Price Trend by Type
Chapter 7 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
Chapter 12 Global AI in Insurance Market Forecast
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