Global Blockchain In Insurance Market Size study, by Application (GRC Management, Death and Claims Management, Payments, Identity Management and Fraud Detection, Smart Contracts), by Organization Size (SMEs, Large Scale), and by Regional Forecasts 2018-2025

  • No of Pages: 145
  • Publisher: LP Information
  • Category: Others
20off

Global Blockchain In Insurance Market to reach USD 4315.1 million by 2025.

Global Blockchain In Insurance Market valued approximately USD 17 million in 2016 is anticipated to grow with a healthy growth rate of more than 85% over the forecast period 2017-2025. The major growth drivers of the market include the emerging need to have transparent and trustworthy systems, and the overall trends witnessed in the insurance sector related to increase in claims-related frauds. Companies, mostly large enterprises, get venture funding to develop supportive infrastructure for blockchain integration. Large enterprises are expected to dominate the market in terms of market share, as such enterprises are continuously investing in their R&D activities to improve their overall performance and provide customer satisfaction. However, the Small and Medium-sized Enterprises (SMEs) segment is expected to exhibit a higher CAGR, owing to the availability of blockchain-as-a-service, provided by vendors operating in the market, which minimizes infrastructure development costs.
North America is expected to continue to dominate the market during the forecast period. The APAC region is expected to grow at the highest CAGR during the forecast period, owing to Increase in digitalization, humungous growth of IoT, and an increase in BaaS service providers in the region. Factors such as growing number of fraudulent insurance claims, increasing need to have transparent and trustworthy systems, and focus on reducing total cost of ownership are expected to drive the growth of the global blockchain in insurance market
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Application:

§ GRC Management
§ Death & Claim Management
§ Payments
§ Identity Management & Fraud detection
§ Smart Contracts
By Organization Size:

§ SMEs
§ Large Scale

By Regions:
§ North America
o U.S.
o Canada
§ Europe
o UK
o Germany
§ Asia Pacific
o China
o India
o Japan
§ Latin America
o Brazil
o Mexico
§ Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2015, 2016
Base year – 2017
Forecast period – 2018 to 2025

The industry is seeming to be fairly competitive. Some of the leading market players include IBM, Oracle, Microsoft, AWS, SAP., Earthport, BTL Group, BitFury, Factom, Bitpay and so on. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers. New product launches and continuous technological innovations are the key strategies adopted by the major players.

Target Audience of the Global Blockchain In Insurance Market in Market Study:

§ Key Consulting Companies & Advisors
§ Large, medium-sized, and small enterprises
§ Venture capitalists
§ Value-Added Resellers (VARs)
§ Third-party knowledge providers
§ Investment bankers
§ Investors

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TABLE OF CONTENTS
Chapter 1. Global Blockchain in Insurance Market Definition and Scope
1.1. Research Objective
1.2. Market Definition
1.3. Scope of The Study
1.4. Years Considered for The Study
1.5. Currency Conversion Rates
1.6. Report Limitation
Chapter 2. Research Methodology
2.1. Research Process
2.1.1. Data Mining
2.1.2. Analysis
2.1.3. Market Estimation
2.1.4. Validation
2.1.5. Publishing
2.2. Research Assumption
Chapter 3. Executive Summary
3.1. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)
3.2. Key Trends
Chapter 4. Global Blockchain in Insurance Market Dynamics
4.1. Growth Prospects
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.2. Industry Analysis
4.2.1. Porter’s 5 Force Model
4.2.2. PEST Analysis
4.2.3. Value Chain Analysis
4.3. Analyst Recommendation & Conclusion
Chapter 5. Global Blockchain in Insurance Market, By Application
5.1. Market Snapshot
5.2. Market Performance - Potential Model
5.3. Global Blockchain in Insurance Market, Sub Segment Analysis
5.3.1. GRC Management
5.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.2. Death & Claim Management
5.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.3. Payments
5.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.4. Identity Management & Fraud detection
5.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.3.5. Smart Contracts
5.3.5.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.3.5.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 6. Global Blockchain in Insurance Market, By Organization Size
6.1. Market Snapshot
6.2. Market Performance - Potential Model
6.3. Global Blockchain in Insurance Market, Sub Segment Analysis
6.3.1. SMEs
6.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.3.2. Large Enterprises
6.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 7. Global Blockchain in Insurance Market, by Regional Analysis
7.1. Blockchain in Insurance Market, Regional Market Snapshot (2015-2025)
7.2. North America Blockchain in Insurance Market Snapshot
7.2.1. U.S.
7.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.2.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.1.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.1.4. Industry breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.2. Canada
7.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.2.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.2.2.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3. Europe Blockchain in Insurance Market Snapshot
7.3.1. U.K.
7.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.3.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.1.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.2. Germany
7.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.3.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.2.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.3. France
7.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.3.3.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.3.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.4. Rest of Europe
7.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.3.4.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.3.4.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4. Asia Blockchain in Insurance Market Snapshot
7.4.1. China
7.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.1.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.2. India
7.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.2.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.3. Japan
7.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.3.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.3.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.4. Rest of Asia Pacific
7.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.4.4.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.4.4.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5. Latin America Blockchain in Insurance Market Snapshot
7.5.1. Brazil
7.5.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.5.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5.1.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5.2. Mexico
7.5.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.5.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.5.2.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6. Rest of The World
7.6.1. South America
7.6.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.6.1.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6.1.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6.2. Middle East and Africa
7.6.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
7.6.2.2. Application breakdown estimates & forecasts, 2015-2025 (USD Billion)
7.6.2.3. Organization Size breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 8. Competitive Intelligence
8.1. Company Market Share (Subject to Data Availability)
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. IBM
8.3.1.1. Overview
8.3.1.2. Financial (Subject to Data Availability)
8.3.1.3. Product Summary
8.3.1.4. Recent Developments
8.3.2. Oracle
8.3.3. Microsoft
8.3.4. AWS
8.3.5. SAP.
8.3.6. Earthport
8.3.7. BTL Group
8.3.8. BitFury
8.3.9. Factom
8.3.10. Bitpay

Research Process

The research starts with the extensive procurement process of data/information and statistics from company annual reports, government websites, statistic agencies, and paid databases. This information creates a base for the study. This information also helps to define the scope and to narrow down the area for study for the market. This raw information is processed and analysed to extract crisp data points which currently affect or are likely to affect the industry over the forecast period. After analysing the information, a proprietary market estimation & forecast technique is applied, which generates the quantitative figures/sizes of the market/sub-segments in the current scenario as well as for over the forecast period. After populating the market sizes & estimates, numbers are verified with the industry participants and key opinion leaders. The wide network of industry participants performs a value addition in the research and verify the numbers & estimates of the study. In the last stage of the research process, a final report is prepared which is then published on different websites as well as distributed through various channels. Below figure contains the different stages of the whole research performed to produce the report.

After populating the market sizes & estimates, numbers are verified with the industry participants and key opinion leaders. The wide network of industry participants performs a value addition in the research and verify the numbers & estimates of the study. In the last stage of the research process, a final report is prepared which is then published on different websites as well as distributed through various channels. Below figure contains the different stages of the whole research performed to produce the report.

DATA MINING

Data mining is one of the extensive stages of our research process. It involves the procurement of market data and related information through different verified & credible sources. This step helps to obtain the raw information about the supply chain of the industry, the monetary process of different Products & End-Uses, the pool of market participants & the nature of the industry and the scope of the study. The data mining stage comprises both primary as well as secondary sources of information. Some of the key data sources are as follows:

Secondary Research In the process of secondary research, various sources are referred to identify and collect industry trends and information for the research process. We at having access to some of the most diversified and extensive paid databases which give us the most accurate data/information on markets sizes, Products and pricing.

In the primary research process for data mining, various key industry participants from both supply and demand side are interviewed to obtain both qualitative as well as quantitative information on the market. In-depth interviews with key primary respondents, including industry professionals, subject matter experts (SMEs), industry consultants, and C-level executives of major companies are conducted to obtain critical qualitative and quantitative aspects pertaining to the market, as well as to assess the prospects for market growth over the forecast period.

ANALYSIS

This step involves the analysis & mapping of all the information procured from the previous step. This step also encompasses the scrutiny of data discrepancies observed across various data sources and finalising the appropriate data for estimation and forecasting. This analysis is done by our experienced panel of industry analysts.

MARKET ESTIMATION

Understanding and penetrating the market in terms of valuation is a crucial task in the process of business research. This again becomes significantly important while investing and choosing the business opportunities. In this regard, we perform two ways market sizing approach simultaneously namely top-down and bottom-up approaches. In this step, we place different data points, numeric attributes, information, and industry trends at an appropriate space in order to deduce the estimates & forecast values over the coming years. We use different mathematical models to estimate the market sizes of different economies and segments. Each of which is further summed up to define the total market. We own a proprietary tool for market estimations which helps us to comprehend market size estimates & forecasts for different markets and industries. Below figure explains the process of market estimation using independent tool employed by our analysts to get the sizing off the market.