The insurtech market size is projected to be valued at US$ 20,667.5 million in 2023 and is expected to rise to US$ 210,664.3 million by 2033. The sales of insurtech are projected to expand at a significant CAGR of 26.1% during the forecast period.
The demand for insurtech solutions is rising as it makes better predictions of consumer demands, increases purchasing quantities, and enhances decision-making and insurance planning through the use of machine learning, artificial intelligence, and cloud computing.
The sales of insurtech solutions are growing due to the support of various robust technologies like AI, machine learning, blockchain, and cloud computing that offer real-time surveillance and monitoring of insured activity for many businesses.
| Attributes | Details |
|---|---|
| Insurtech Market Estimated Size (2023) | US$ 20,667.5 million |
| Insurtech Market CAGR (2023 to 2033) | 26.1% |
| Insurtech Market Forecasted Size (2033) | US$ 210,664.3 million |
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Over the past years, the Insurtech industry has witnessed a steady rise in sales, driven by the factors such as:
Companies have been leveraging technologies such as artificial intelligence, big data analytics, machine learning, and blockchain to streamline insurance processes, enhance customer experience, and offer innovative insurance products.
As per the Insurtech industry research by Future Market Insights, historically, from 2018 to 2022, the market value of the Insurtech industry increased at around 24.0% CAGR.
Looking ahead, the future outlook for the Insurtech market remains positive. There is an increasing demand for personalized and on-demand insurance solutions that cater to the evolving needs of customers. Insurtech companies are well-positioned to deliver customized policies, automated claims processing, and real-time risk assessment, thereby offering great convenience and efficiency.
The growing adoption of digital platforms and mobile applications is reshaping the insurance landscape. Insurtech firms are capitalizing on these platforms to provide seamless user experiences, facilitate policy management, and enable easy access to insurance services.
The increasing focus on insurtech collaborations and partnerships with traditional insurance companies is expected to drive market expansion. These collaborations allow insurers to tap into the innovative technologies and capabilities of insurtech startups while providing insurtech companies with access to established distribution channels and customer bases.
The sales of insurtech solutions are growing due to shifting business models. Companies are utilizing innovative digital solutions to scale their businesses and build product lines depending on niche client demand. It is estimated to propel the demand for insurtech solutions and aid in insurtech market growth.
Different insurance sector norms and laws, as well as privacy and security concerns, are some of the factors that limit insurtech market expansion. Furthermore, the rising demand for insurtech solutions in growing nations, particularly emerging economies such as Australia, China, India, Singapore, and South Korea, provides considerable prospects for the sales of insurtech solutions to expand the overall insurtech market.
The use of technologies like cloud computing, artificial intelligence, and blockchain to help with loss prediction and prevention, risk monitoring, and claim processing is becoming a prominent factor. It is predicted to give attractive opportunities for the insurtech market to grow.
Insurance is one of the most conservative sectors, but insurtech companies are causing havoc in the insurtech market globally. According to Accenture, a consulting and professional services firm, roughly 86 percent of insurers plan to innovate and enhance existing business models. It is to meet the rising demand for insurtech solutions and maintain a competitive position by 2033.
Insurance companies all over the world are turning to innovative digital solutions to scale their operations as business models change and provide a tailored consumer experience, and boost the sales of insurtech solutions. As a result, the increasing digitalization of existing insurance business models is propelling the demand for insurtech solutions.
Various laws establish varied norms and regulations across countries, with financial centers taking a united approach to regulation. This becomes a critical issue for insurtech companies to develop insurtech solutions across several regulations such as MiFID II, GDPR, and others, which causes inter-regulation conflict. As a result, this factor stifles the insurtech market's growth.
For example:
In the United States of America, the National Association of Insurance Commissioners (NAIC) oversees and regulates the insurance business, whereas, in Europe, MiFID II requirements apply to insurance companies under its jurisdiction. This is one of the primary factors impacting the sales of insurtech solutions and insurtech market expansion.
Principal Consultant
With a CAGR of 25.8%, the Solution Segment is Anticipated to Dominate the Global Insurtech Market during the Forecast Period.
Several insurance businesses are notably adopting these insurtech solutions to create a technology-based service platform for their consumers. These technologies offer a variety of advantages, including simplified claim processing, lower policy rates, less fraud activity, and lower underwriting expenses, among others.
During the forecast period, the cloud computing category is predicted to dominate the insurtech market with a CAGR of 25.2%. With its resourcefulness, ease of deployment, and flexibility, cloud computing has revolutionized the insurance market.
The sales of insurtech solutions are projected to be fueled by widespread acceptance of Bring Your Own Device (BYOD) rules, as well as the growing amount of data that insurance companies collect. Moreover, benefits such as rapid deployment, cost-effectiveness, and scalability are driving insurance businesses to use cloud computing technologies. Over the projected period, the blockchain segment in insurtech market is expected to rise at a significant pace.
The United States insurance industry has been quick to embrace technology-driven innovations, leading to the emergence of numerous Insurtech startups and attracting substantial investments in the sector. Moreover, the United States insurance industry has witnessed an increasing emphasis on data analytics and artificial intelligence.
Insurtech firms harness these technologies to analyze vast amounts of data, assess risk profiles accurately, and offer tailored insurance solutions. Furthermore, the United States regulatory environment has been relatively supportive of innovation in the insurance sector, fostering a favorable ecosystem for Insurtech companies to thrive.
Europe is a prominent player in the global market with an influential market share of 21.2% in 2022. Insurtech companies in Europe are leveraging technologies such as artificial intelligence, data analytics, and automation to offer enhanced customer experiences, streamline operations, and develop innovative insurance products.
The European Union has also taken steps to support the growth of Insurtech. Initiatives such as the EU's Digital Single Market strategy and regulatory sandboxes facilitate experimentation and provide a conducive environment for Insurtech startups. It is to develop and deploy their innovations.
Insurtech companies in Europe are leveraging data analytics and telematics to assess risks accurately, improve underwriting processes, and offer dynamic pricing models. By harnessing advanced technologies, they can provide real-time insights, optimize claims handling, and offer value-added services to customers.
In India, Insurtech startups are leveraging technology to disrupt traditional insurance models and address the evolving needs of customers. The rise of smartphone usage and internet connectivity has enabled Insurtech companies to reach a wide customer base and offer digital insurance solutions.
The government of India has also played a proactive role in supporting the growth of Insurtech. Initiatives such as the Digital India campaign and regulatory sandboxes have created a conducive environment for startups to experiment and innovate. Furthermore, the Insurance Regulatory and Development Authority of India (IRDAI) has introduced progressive regulations to foster Insurtech innovation while ensuring consumer protection.
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By providing digital brokerage and insurance marketplaces, insurtech companies are attempting to bridge the gap between customers and insurance providers. Further, insurers have been forced to implement digital technologies that focus on the client interface due to the oversaturation of the insurance market and fierce rivalry among insurers.
Insurtech software is developed to assist insurers in developing partnerships and streamlining claim processes to increase client acquisition.
Recent Developments in the Insurtech Market
| Attributes | Details |
|---|---|
| Growth Rate | CAGR of 26.1% from 2023 to 2033 |
| Base Year of Estimation | 2023 |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Revenue in US$ billion and Volume in Units and F-CAGR from 2023 to 2033 |
| Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, growth factors, Trends, and Pricing Analysis |
| Key Segments Covered | Component, Offerings, Deployment Mode, Technology, Vertical, By Region |
| Regions Covered | North America; Latin America; Europe; East Asia; South Asia; The Middle East & Africa; Oceania |
| Key Countries Profiled | The United States, Canada, Brazil, Mexico, Germany, Italy, France, The United Kingdom, Spain, Russia, China, Japan, India, GCC Countries, Australia |
| Key Companies Profiled | Damco Group; DXC Technology Company; Majesco; Oscar Insurance; OutSystems |
| Customization & Pricing | Available upon Request |
The estimated size of the market is US$ 20,667.5 million in 2023.
The Insurtech market is anticipated to secure a valuation of US$ 2,10,664.3 million by 2033.
The cloud computing category is predicted to lead the market by technology.
The market players attempt to bridge the gap between consumers and insurance providers by providing digital brokerage and insurance marketplaces.
The United States market held a prominent global share of 16.6% in 2022.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Offering
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Offering, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Offering, 2023 to 2033
5.3.1. Solution
5.3.2. Service
5.4. Y-o-Y Growth Trend Analysis By Offering, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Offering, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Model
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Model, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Model, 2023 to 2033
6.3.1. On-premise
6.3.2. Cloud
6.4. Y-o-Y Growth Trend Analysis By Deployment Model, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Deployment Model, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis by Technology, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast by Technology, 2023 to 2033
7.3.1. Artificial Intelligence
7.3.2. Cloud Computing
7.3.3. Blockchain
7.3.4. Big Data & Business Analytics
7.3.5. IoT
7.3.6. Others
7.4. Y-o-Y Growth Trend Analysis by Technology, 2018 to 2022
7.5. Absolute $ Opportunity Analysis by Technology, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033
8.3.1. Life & Health Insurance
8.3.2. Property and Casualty (P&C) Insurance
8.3.2.1. Auto Insurance
8.3.2.2. Commercial Buildings Insurance
8.3.2.3. Dwelling Coverage
8.3.2.4. Contents Coverage
8.3.3. Marine Insurance
8.3.4. Liability Insurance
8.3.5. Others
8.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
9.1. Introduction / Key Findings
9.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022
9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033
9.3.1. Product Development & Underwriting
9.3.2. Sales & Marketing
9.3.3. Policy Admin Collection & Disbursement
9.3.4. Claims Management
9.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
9.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
10.1. Introduction
10.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
10.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
10.3.1. North America
10.3.2. Latin America
10.3.3. Europe
10.3.4. South Asia
10.3.5. East Asia
10.3.6. Oceania
10.3.7. MEA
10.4. Market Attractiveness Analysis By Region
11. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. The USA
11.2.1.2. Canada
11.2.2. By Offering
11.2.3. By Deployment Model
11.2.4. By Technology
11.2.5. By End User
11.2.6. By Application
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Offering
11.3.3. By Deployment Model
11.3.4. By Technology
11.3.5. By End User
11.3.6. By Application
11.4. Key Takeaways
12. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. Brazil
12.2.1.2. Mexico
12.2.1.3. Rest of Latin America
12.2.2. By Offering
12.2.3. By Deployment Model
12.2.4. By Technology
12.2.5. By End User
12.2.6. By Application
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Offering
12.3.3. By Deployment Model
12.3.4. By Technology
12.3.5. By End User
12.3.6. By Application
12.4. Key Takeaways
13. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. Germany
13.2.1.2. United Kingdom
13.2.1.3. France
13.2.1.4. Spain
13.2.1.5. Italy
13.2.1.6. Rest of Europe
13.2.2. By Offering
13.2.3. By Deployment Model
13.2.4. By Technology
13.2.5. By End User
13.2.6. By Application
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Offering
13.3.3. By Deployment Model
13.3.4. By Technology
13.3.5. By End User
13.3.6. By Application
13.4. Key Takeaways
14. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
14.2.1. By Country
14.2.1.1. India
14.2.1.2. Malaysia
14.2.1.3. Singapore
14.2.1.4. Thailand
14.2.1.5. Rest of South Asia
14.2.2. By Offering
14.2.3. By Deployment Model
14.2.4. By Technology
14.2.5. By End User
14.2.6. By Application
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Offering
14.3.3. By Deployment Model
14.3.4. By Technology
14.3.5. By End User
14.3.6. By Application
14.4. Key Takeaways
15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
15.2.1. By Country
15.2.1.1. China
15.2.1.2. Japan
15.2.1.3. South Korea
15.2.2. By Offering
15.2.3. By Deployment Model
15.2.4. By Technology
15.2.5. By End User
15.2.6. By Application
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Offering
15.3.3. By Deployment Model
15.3.4. By Technology
15.3.5. By End User
15.3.6. By Application
15.4. Key Takeaways
16. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
16.2.1. By Country
16.2.1.1. Australia
16.2.1.2. New Zealand
16.2.2. By Offering
16.2.3. By Deployment Model
16.2.4. By Technology
16.2.5. By End User
16.2.6. By Application
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Offering
16.3.3. By Deployment Model
16.3.4. By Technology
16.3.5. By End User
16.3.6. By Application
16.4. Key Takeaways
17. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
17.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
17.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
17.2.1. By Country
17.2.1.1. GCC Countries
17.2.1.2. South Africa
17.2.1.3. Israel
17.2.1.4. Rest of MEA
17.2.2. By Offering
17.2.3. By Deployment Model
17.2.4. By Technology
17.2.5. By End User
17.2.6. By Application
17.3. Market Attractiveness Analysis
17.3.1. By Country
17.3.2. By Offering
17.3.3. By Deployment Model
17.3.4. By Technology
17.3.5. By End User
17.3.6. By Application
17.4. Key Takeaways
18. Key Countries Market Analysis
18.1. USA
18.1.1. Pricing Analysis
18.1.2. Market Share Analysis, 2022
18.1.2.1. By Offering
18.1.2.2. By Deployment Model
18.1.2.3. By Technology
18.1.2.4. By End User
18.1.2.5. By Application
18.2. Canada
18.2.1. Pricing Analysis
18.2.2. Market Share Analysis, 2022
18.2.2.1. By Offering
18.2.2.2. By Deployment Model
18.2.2.3. By Technology
18.2.2.4. By End User
18.2.2.5. By Application
18.3. Brazil
18.3.1. Pricing Analysis
18.3.2. Market Share Analysis, 2022
18.3.2.1. By Offering
18.3.2.2. By Deployment Model
18.3.2.3. By Technology
18.3.2.4. By End User
18.3.2.5. By Application
18.4. Mexico
18.4.1. Pricing Analysis
18.4.2. Market Share Analysis, 2022
18.4.2.1. By Offering
18.4.2.2. By Deployment Model
18.4.2.3. By Technology
18.4.2.4. By End User
18.4.2.5. By Application
18.5. Germany
18.5.1. Pricing Analysis
18.5.2. Market Share Analysis, 2022
18.5.2.1. By Offering
18.5.2.2. By Deployment Model
18.5.2.3. By Technology
18.5.2.4. By End User
18.5.2.5. By Application
18.6. United Kingdom
18.6.1. Pricing Analysis
18.6.2. Market Share Analysis, 2022
18.6.2.1. By Offering
18.6.2.2. By Deployment Model
18.6.2.3. By Technology
18.6.2.4. By End User
18.6.2.5. By Application
18.7. France
18.7.1. Pricing Analysis
18.7.2. Market Share Analysis, 2022
18.7.2.1. By Offering
18.7.2.2. By Deployment Model
18.7.2.3. By Technology
18.7.2.4. By End User
18.7.2.5. By Application
18.8. Spain
18.8.1. Pricing Analysis
18.8.2. Market Share Analysis, 2022
18.8.2.1. By Offering
18.8.2.2. By Deployment Model
18.8.2.3. By Technology
18.8.2.4. By End User
18.8.2.5. By Application
18.9. Italy
18.9.1. Pricing Analysis
18.9.2. Market Share Analysis, 2022
18.9.2.1. By Offering
18.9.2.2. By Deployment Model
18.9.2.3. By Technology
18.9.2.4. By End User
18.9.2.5. By Application
18.10. India
18.10.1. Pricing Analysis
18.10.2. Market Share Analysis, 2022
18.10.2.1. By Offering
18.10.2.2. By Deployment Model
18.10.2.3. By Technology
18.10.2.4. By End User
18.10.2.5. By Application
18.11. Malaysia
18.11.1. Pricing Analysis
18.11.2. Market Share Analysis, 2022
18.11.2.1. By Offering
18.11.2.2. By Deployment Model
18.11.2.3. By Technology
18.11.2.4. By End User
18.11.2.5. By Application
18.12. Singapore
18.12.1. Pricing Analysis
18.12.2. Market Share Analysis, 2022
18.12.2.1. By Offering
18.12.2.2. By Deployment Model
18.12.2.3. By Technology
18.12.2.4. By End User
18.12.2.5. By Application
18.13. Thailand
18.13.1. Pricing Analysis
18.13.2. Market Share Analysis, 2022
18.13.2.1. By Offering
18.13.2.2. By Deployment Model
18.13.2.3. By Technology
18.13.2.4. By End User
18.13.2.5. By Application
18.14. China
18.14.1. Pricing Analysis
18.14.2. Market Share Analysis, 2022
18.14.2.1. By Offering
18.14.2.2. By Deployment Model
18.14.2.3. By Technology
18.14.2.4. By End User
18.14.2.5. By Application
18.15. Japan
18.15.1. Pricing Analysis
18.15.2. Market Share Analysis, 2022
18.15.2.1. By Offering
18.15.2.2. By Deployment Model
18.15.2.3. By Technology
18.15.2.4. By End User
18.15.2.5. By Application
18.16. South Korea
18.16.1. Pricing Analysis
18.16.2. Market Share Analysis, 2022
18.16.2.1. By Offering
18.16.2.2. By Deployment Model
18.16.2.3. By Technology
18.16.2.4. By End User
18.16.2.5. By Application
18.17. Australia
18.17.1. Pricing Analysis
18.17.2. Market Share Analysis, 2022
18.17.2.1. By Offering
18.17.2.2. By Deployment Model
18.17.2.3. By Technology
18.17.2.4. By End User
18.17.2.5. By Application
18.18. New Zealand
18.18.1. Pricing Analysis
18.18.2. Market Share Analysis, 2022
18.18.2.1. By Offering
18.18.2.2. By Deployment Model
18.18.2.3. By Technology
18.18.2.4. By End User
18.18.2.5. By Application
18.19. GCC Countries
18.19.1. Pricing Analysis
18.19.2. Market Share Analysis, 2022
18.19.2.1. By Offering
18.19.2.2. By Deployment Model
18.19.2.3. By Technology
18.19.2.4. By End User
18.19.2.5. By Application
18.20. South Africa
18.20.1. Pricing Analysis
18.20.2. Market Share Analysis, 2022
18.20.2.1. By Offering
18.20.2.2. By Deployment Model
18.20.2.3. By Technology
18.20.2.4. By End User
18.20.2.5. By Application
18.21. Israel
18.21.1. Pricing Analysis
18.21.2. Market Share Analysis, 2022
18.21.2.1. By Offering
18.21.2.2. By Deployment Model
18.21.2.3. By Technology
18.21.2.4. By End User
18.21.2.5. By Application
19. Market Structure Analysis
19.1. Competition Dashboard
19.2. Competition Benchmarking
19.3. Market Share Analysis of Top Players
19.3.1. By Regional
19.3.2. By Offering
19.3.3. By Deployment Model
19.3.4. By Technology
19.3.5. By End User
19.3.6. By Application
20. Competition Analysis
20.1. Competition Deep Dive
20.1.1. Damco Group
20.1.1.1. Overview
20.1.1.2. Product Portfolio
20.1.1.3. Profitability by Market Segments
20.1.1.4. Sales Footprint
20.1.1.5. Strategy Overview
20.1.1.5.1. Marketing Strategy
20.1.2. DXC Technology Company
20.1.2.1. Overview
20.1.2.2. Product Portfolio
20.1.2.3. Profitability by Market Segments
20.1.2.4. Sales Footprint
20.1.2.5. Strategy Overview
20.1.2.5.1. Marketing Strategy
20.1.3. Majesco
20.1.3.1. Overview
20.1.3.2. Product Portfolio
20.1.3.3. Profitability by Market Segments
20.1.3.4. Sales Footprint
20.1.3.5. Strategy Overview
20.1.3.5.1. Marketing Strategy
20.1.4. Oscar Insurance
20.1.4.1. Overview
20.1.4.2. Product Portfolio
20.1.4.3. Profitability by Market Segments
20.1.4.4. Sales Footprint
20.1.4.5. Strategy Overview
20.1.4.5.1. Marketing Strategy
20.1.5. OutSystems
20.1.5.1. Overview
20.1.5.2. Product Portfolio
20.1.5.3. Profitability by Market Segments
20.1.5.4. Sales Footprint
20.1.5.5. Strategy Overview
20.1.5.5.1. Marketing Strategy
20.1.6. Quantemplate
20.1.6.1. Overview
20.1.6.2. Product Portfolio
20.1.6.3. Profitability by Market Segments
20.1.6.4. Sales Footprint
20.1.6.5. Strategy Overview
20.1.6.5.1. Marketing Strategy
20.1.7. Shift Technology
20.1.7.1. Overview
20.1.7.2. Product Portfolio
20.1.7.3. Profitability by Market Segments
20.1.7.4. Sales Footprint
20.1.7.5. Strategy Overview
20.1.7.5.1. Marketing Strategy
20.1.8. Trov Insurance Solutions, LLC
20.1.8.1. Overview
20.1.8.2. Product Portfolio
20.1.8.3. Profitability by Market Segments
20.1.8.4. Sales Footprint
20.1.8.5. Strategy Overview
20.1.8.5.1. Marketing Strategy
20.1.9. Wipro Limited
20.1.9.1. Overview
20.1.9.2. Product Portfolio
20.1.9.3. Profitability by Market Segments
20.1.9.4. Sales Footprint
20.1.9.5. Strategy Overview
20.1.9.5.1. Marketing Strategy
20.1.10. Zhongan Insurance
20.1.10.1. Overview
20.1.10.2. Product Portfolio
20.1.10.3. Profitability by Market Segments
20.1.10.4. Sales Footprint
20.1.10.5. Strategy Overview
20.1.10.5.1. Marketing Strategy
21. Assumptions & Acronyms Used
22. Research Methodology
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Insurtech Market
