Norway Blockchain Technology in Healthcare Market Analysis

Norway Blockchain Technology in Healthcare Market Analysis


$ 3999

This report presents a strategic analysis of Norway's Blockchain Technology in the Healthcare Market and a forecast for its development in the medium and long term. It provides a broad overview of the market dynamics, trends and insights, growth drivers and restraints, segmentation, competitive landscape, healthcare policies and regulatory framework, reimbursement scenario, challenges, and future outlook. This is one of the most comprehensive reports about Norway's Blockchain Technology in the Healthcare Market, offering unmatched value, accuracy, and expert insights.

ID: IN10NODH004 CATEGORY: Digital Health GEOGRAPHY: Norway

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Norway Blockchain Technology in Healthcare Market Executive Summary

Public, private, and other network kinds of blockchain technology are used in the healthcare industry. The primary cause of the public segment's large market share is the growing use of public networks for data management. Currently, one of the most widely used technologies in healthcare is Ethereum, a public network. The term "permission-less" blockchain system is another name for it. The main drivers of the expansion of these public networks are their low cost and the availability of a larger database.

The private category is anticipated to experience significant growth over the next few years. One implementation of the private network is Hyperledger Fabric from the Linux foundation. They provide great security, quick transactions, and privacy. They are therefore created and utilized for specific corporate requirements.

Market Size and Key Findings

The Norway Blockchain Technology in Healthcare Market size is at around US $ xx Bn in 2021 and is projected to reach US $ xx Bn in 2030, exhibiting a CAGR of xx% during the forecast period.

Norway Blockchain Technology in Healthcare Market Size (In USD Bn)

(2021-2030F)

Market Dynamics

Market Growth Drivers Analysis

It is anticipated that increasing disease prevalence would generate a vast amount of data, driving up demand for data management. Furthermore, applying blockchain technology to medical records will guarantee that the data is accurate and cannot be changed. The market is growing even more as a result of increased investment in this technology by key industry participants. For instance, IBM introduced a low-cost platform to create any blockchain applications in March 2018 that was designed specifically for startups. Such activities are likely to boost technological advancements and the adoption of new healthcare organisations, promoting market expansion

Leading healthcare organisations have teamed up to form the Synaptic Health Alliance, which is dedicated to increasing provider-to-provider data exchange. Established healthcare organisations like Humana, Quest Diagnostics, and Optum are part of the alliance. In several fields of healthcare, according to Synaptic, blockchain technology has the potential to improve efficiency and reduce costs

Competitive Landscape

Key Players

The prominent players operating in this market include IBM, PATIENTORY INC., Guardtime, iSolve, LLC, Solve.Care, Oracle, Change Healthcare, BurstIQ, Medicalchain SA, Blockpharma, etc.

1. Executive Summary
1.1 Digital Health Overview
1.2 Global Scenario
1.3 Country Overview
1.4 Healthcare Scenario in Country
1.5 Digital Health Policy in Country
1.6 Recent Developments in the Country

2. Market Size and Forecasting
2.1 Market Size (With Excel and Methodology)
2.2 Market Segmentation (Check all Segments in Segmentation Section)

3. Market Dynamics
3.1 Market Drivers
3.2 Market Restraints

4. Competitive Landscape
4.1 Major Market Share

4.2 Key Company Profile (Check all Companies in the Summary Section)

4.2.1 Company
4.2.1.1 Overview
4.2.1.2 Product Applications and Services
4.2.1.3 Recent Developments
4.2.1.4 Partnerships Ecosystem
4.2.1.5 Financials (Based on Availability)

5. Reimbursement Scenario
5.1 Reimbursement Regulation
5.2 Reimbursement Process for Diagnosis
5.3 Reimbursement Process for Treatment

6. Methodology and Scope

Blockchain Technology in Healthcare Market Segmentation

The Blockchain Technology in Healthcare Market is segmented as mentioned below:

By Network (Revenue, USD Billion):

  • Private
  • Public
  • Others

By Applications (Revenue, USD Billion):

  • Clinical Data Exchange & Interoperability
  • Claims Adjudication & Billing
  • Supply Chain Management
  • Clinical Trials & eConsent
  • Others

By End-use (Revenue, USD Billion):

  • Providers
  • Payers
  • Biopharmaceutical & Medical Device Companies
  • Others

Methodology for Database Creation

Our database offers a comprehensive list of healthcare centers, meticulously curated to provide detailed information on a wide range of specialties and services. It includes top-tier hospitals, clinics, and diagnostic facilities across 30 countries and 24 specialties, ensuring users can find the healthcare services they need.​

Additionally, we provide a comprehensive list of Key Opinion Leaders (KOLs) based on your requirements. Our curated list captures various crucial aspects of the KOLs, offering more than just general information. Whether you're looking to boost brand awareness, drive engagement, or launch a new product, our extensive list of KOLs ensures you have the right experts by your side. Covering 30 countries and 36 specialties, our database guarantees access to the best KOLs in the healthcare industry, supporting strategic decisions and enhancing your initiatives.

How Do We Get It?

Our database is created and maintained through a combination of secondary and primary research methodologies.

1. Secondary Research

With many years of experience in the healthcare field, we have our own rich proprietary data from various past projects. This historical data serves as the foundation for our database. Our continuous process of gathering data involves:

  • Analyzing historical proprietary data collected from multiple projects.
  • Regularly updating our existing data sets with new findings and trends.
  • Ensuring data consistency and accuracy through rigorous validation processes.

With extensive experience in the field, we have developed a proprietary GenAI-based technology that is uniquely tailored to our organization. This advanced technology enables us to scan a wide array of relevant information sources across the internet. Our data-gathering process includes:

  • Searching through academic conferences, published research, citations, and social media platforms
  • Collecting and compiling diverse data to build a comprehensive and detailed database
  • Continuously updating our database with new information to ensure its relevance and accuracy

2. Primary Research

To complement and validate our secondary data, we engage in primary research through local tie-ups and partnerships. This process involves:

  • Collaborating with local healthcare providers, hospitals, and clinics to gather real-time data.
  • Conducting surveys, interviews, and field studies to collect fresh data directly from the source.
  • Continuously refreshing our database to ensure that the information remains current and reliable.
  • Validating secondary data through cross-referencing with primary data to ensure accuracy and relevance.

Combining Secondary and Primary Research

By integrating both secondary and primary research methodologies, we ensure that our database is comprehensive, accurate, and up-to-date. The combined process involves:

  • Merging historical data from secondary research with real-time data from primary research.
  • Conducting thorough data validation and cleansing to remove inconsistencies and errors.
  • Organizing data into a structured format that is easily accessible and usable for various applications.
  • Continuously monitoring and updating the database to reflect the latest developments and trends in the healthcare field.

Through this meticulous process, we create a final database tailored to each region and domain within the healthcare industry. This approach ensures that our clients receive reliable and relevant data, empowering them to make informed decisions and drive innovation in their respective fields.

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Last updated on: 08 January 2024
Updated by: Anish Swaminathan

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