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Global Healthcare Smart ContractsMarket to reach xx by 2028.

Global Healthcare Smart ContractsMarket Size study, byBlockchain Type (Hyperledger Fabric, MultiChain56, Ethereum, Others), by Application (Data Exchange & Interoperability, Clinical Trials, Supply Chain Management, Claims Adjudication & Billing Management, Others), by End-Use (Healthcare Provider, Healthcare Payer, Drug & Medical, Others) and Regional Forecasts 2022-2028

Product Code: HLSHIT-32343007
Publish Date: 27-06-2022
Page: 200

Global Healthcare Smart ContractsMarket is valued at approximately XX in 2021 and is anticipated to grow with a healthy growth rate of more than xx% over the forecast period 2022-2028. Blockchain technology’s security and reliability make smart contracts and their digital agreements appropriate for use in any industry, including healthcare. There has been a significant strain on healthcare providers as a result of the rise in the number of patients needing medical attention. Theincreased use of blockchain technology in healthcare is expected to increase demand for smart contracts in the healthcare industry. Health insurance can use smart contracts on a daily basis, which would improve the system’s efficiency in many ways. All information about a patient’s policy will be securely stored in their patient profile if they purchase their insurance through smart contracts. The blockchain, a safe and secure ledger that is less vulnerable to hackers than a conventional database, is then used to store this information. The increase in data breaching incidents in the healthcare industry, increased visibility provided by distributed ledger technology, and an increase in the threat of falsified drugs in the pharmaceutical industry are all contributing to market expansion. Forbes estimates that the global sale of fake pharmaceuticals costs pharmaceutical companies $200 billion annually. As a result, adoption of Smart Contracts technology, which can track drugs throughout their entire life cycle, is anticipated to increase over the forecast period. Additionally, the businesses are using digital technology to address these problems, which promotes market expansion. As an illustration, the approach Merck KGaA is developing provides a framework to create digital trust by merely transforming human trust in quality control into a more efficient machine-to-machine (M2M) interaction. One “single source of truth” will be provided by its novel, multiple-patent technology, which is based on numerous blockchain layers, digital certificates, crypto anchors, and smart contracts. Lack of systems integration capabilities and technical expertise connected with smart contracts in healthcare, on the other hand, are some of the difficult aspects that may impede the growth of the smart contracts in healthcare market in the coming years.

The key regions considered for the global Healthcare Smart Contractsmarketstudy includeAsia Pacific, North America, Europe, Latin America, and Rest of the World. The market for healthcare smart contracts was dominated by Europe, which also contributed the most to revenue. Blockchain, high-performance computing, and data infrastructure will all receive funding from the European Union as part of its multibillion-euro investment in technology development. The second-largest market share is anticipated to belong to North America during the forecast period. The market is expected to grow as a result of recent advancements in blockchain technology and numerous government initiatives encouraging the adoption of cutting-edge platforms in the healthcare industry.

Major market players included in this report are:
IBM
ScienceSoft USA Corporation
Blockchain AI Solutions Ltd (FarmaTrust)
SmartData Enterprises
ION Medical Safety
Aetsoft Inc.
Apriorit
ELEKS
Medicalchain
PokitDok
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:
ByBlockchainType:

Hyperledger Fabric
MultiChain56
Ethereum
Others

ByApplication:
Data Exchange and Interoperability
Clinical Trials
Supply Chain Management
Claims Adjudication and Billing Management
Others

By End-Use:
Healthcare Provider
Healthcare Payer
Drug and Medical Device Companies
Others

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Healthcare Smart ContractsMarket 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

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
1.2.1. Healthcare Smart Contracts Market, by Region, 2020-2028 (USD Million)
1.2.2. Healthcare Smart Contracts Market, by Blockchain Type, 2020-2028 (USD Million)
1.2.3. Healthcare Smart Contracts Market, by Application, 2020-2028 (USD Million)
1.2.4. Healthcare Smart Contracts Market, by End-Use, 2020-2028 (USD Million)
1.2.5. Veterinary Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Healthcare Smart Contracts Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Healthcare Smart Contracts Market Dynamics
3.1. Healthcare Smart Contracts Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Increased application of the blockchain technology in healthcare
3.1.1.2. Introduction of modern and novel computer technologies
3.1.2. Market Challenges
3.1.2.1. Lack of systems integration capabilities
3.1.3. Market Opportunities
3.1.3.1. Increased investment by market players
Chapter 4. Global Healthcare Smart Contracts Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Healthcare Smart Contracts Market, by Blockchain Type
6.1. Market Snapshot
6.2. Global Healthcare Smart Contracts Market by Blockchain Type, Performance – Potential Analysis
6.3. Global Healthcare Smart Contracts Market Estimates & Forecasts by Blockchain Type, 2018-2028 (USD Million)
6.4. Healthcare Smart Contracts Market, Sub Segment Analysis
6.4.1. Hyperledger Fabric
6.4.2. MultiChain56
6.4.3. Ethereum
6.4.4. Others
Chapter 7. Global Healthcare Smart Contracts Market, by Application
7.1. Market Snapshot
7.2. Global Healthcare Smart Contracts Market by Application, Performance – Potential Analysis
7.3. Global Healthcare Smart Contracts Market Estimates & Forecasts by Application, 2018-2028 (USD Million)
7.4. Healthcare Smart Contracts Market, Sub Segment Analysis
7.4.1. Data Exchange and Interoperability
7.4.2. Clinical Trials
7.4.3. Supply Chain Management
7.4.4. Claims Adjudication and Billing Management
7.4.5. Others
Chapter 8. Global Healthcare Smart Contracts Market, by End-Use
8.1. Market Snapshot
8.2. Global Healthcare Smart Contracts Market by End-Use, Performance – Potential Analysis
8.3. Global Healthcare Smart Contracts Market Estimates & Forecasts by End-Use, 2018-2028 (USD Million)
8.4. Healthcare Smart Contracts Market, Sub Segment Analysis
8.4.1. Healthcare Provider
8.4.2. Healthcare Payer
8.4.3. Drug and Medical Device Companies
8.4.4. Others
Chapter 9. Global Healthcare Smart Contracts Market, Regional Analysis
9.1. Healthcare Smart Contracts Market, Regional Market Snapshot
9.2. North America Healthcare Smart Contracts Market
9.2.1. U.S. Healthcare Smart Contracts Market
9.2.1.1. Blockchain Type breakdown estimates & forecasts, 2018-2028
9.2.1.2. Application breakdown estimates & forecasts, 2018-2028
9.2.1.3. End-Use breakdown estimates & forecasts, 2018-2028
9.2.2. Canada Healthcare Smart Contracts Market
9.3. Europe Healthcare Smart Contracts Market Snapshot
9.3.1. U.K. Healthcare Smart Contracts Market
9.3.2. Germany Healthcare Smart Contracts Market
9.3.3. France Healthcare Smart Contracts Market
9.3.4. Spain Healthcare Smart Contracts Market
9.3.5. Italy Healthcare Smart Contracts Market
9.3.6. Rest of Europe Healthcare Smart Contracts Market
9.4. Asia-Pacific Healthcare Smart Contracts Market Snapshot
9.4.1. China Healthcare Smart Contracts Market
9.4.2. India Healthcare Smart Contracts Market
9.4.3. Japan Healthcare Smart Contracts Market
9.4.4. Australia Healthcare Smart Contracts Market
9.4.5. South Korea Healthcare Smart Contracts Market
9.4.6. Rest of Asia Pacific Healthcare Smart Contracts Market
9.5. Latin America Healthcare Smart Contracts Market Snapshot
9.5.1. Brazil Healthcare Smart Contracts Market
9.5.2. Mexico Healthcare Smart Contracts Market
9.6. Rest of The World Healthcare Smart Contracts Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. IBM
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Application Summary
10.2.1.5. Recent Developments
10.2.2. ScienceSoft USA Corporation
10.2.3. Blockchain AI Solutions Ltd (FarmaTrust)
10.2.4. SmartData Enterprises
10.2.5. ION Medical Safety
10.2.6. Aetsoft Inc.
10.2.7. Apriorit
10.2.8. ELEKS
10.2.9. Medicalchain
10.2.10. PokitDok
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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