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Global Blockchain Distributed Ledger Market to reach USD XX million by 2028.

Global Blockchain Distributed Ledger Market Size study, By Component (Solution and Service), By Type (Private, Public and Hybrid), By Enterprise Size (Large Enterprises and Small & Medium Enterprises), By Application (Payments, Smart Contracts, Supply Chain Management, Compliance Management, Trade Finance) and By End User (BFSI, Government & Public, Manufacturing, Retail & E-Commerce, Media & Entertainment, Transportation & Logistics, Healthcare, Energy & Utilities), and Regional Forecasts 2022-2028

Product Code: BFBFSI-61952499
Publish Date: 30-08-2022
Page: 200

Global Blockchain Distributed Ledger Market is valued approximately USD XX million in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2028.

The Blockchain Distributed Ledger can be defined as system that uses independent computers called as nodes to record, share, and synchronize transactions in their respective electronic ledgers (instead of keeping data centralized as in a traditional ledger). Distributed ledger Technology enables storage of all information in a secure and accurate manner using cryptography. The rising expansion of Blockchain Technology and increasing adoption of distributed ledger across different industries as well as Strategic partnership from leading market players are factors that are accelerating the global market demand. For instance, according to Statista – according to Statista – as of 2021, the global blockchain technology market was valued at USD 5.85 billion. This is value is projected to grow to USD 1,235.71 billion by 2030, witnessing a compound annual growth rate of 82.8 percent. Furthermore, leading market players are working towards new partnerships to capitalize the growing adoption of Blockchain Distributed Ledger. For instance, in April 2019, London based IoT Software company EVRYTHNG partnered with IOTA, a non-profit foundation focused on distributed ledger technology (DLT) and permissionless ecosystem development. Under this partnership both the players would bring distributed ledger technology based IoT solutions to consumer products industry. Moreover, in December 2019, Toronto, Canada based Adastra Group, a global leader in data management and analytics, partnered with Blockchain as a Service provider, OneLedger, to bring a distributed ledger platform to the North American market. Also, growing adoption of blockchain technology in banking and finance sector and increasing integration of IoT with DLT technology coupled with rising concern over data security across the organizations are anticipated to act as a catalyzing factor for the market demand during the forecast period. However, a lack of awareness towards block chain technology in emerging regions impedes the growth of the market over the forecast period of 2022-2028.

The key regions considered for the global Blockchain Distributed Ledger Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the growing utilization of blockchain technology and presence of leading market players. Whereas, Asia Pacific is anticipated to exhibit a significant growth rate over the forecast period 2022-2028. Factors such as the increasing penetration of block chain technology and rising concern over data security in financial institutions and other industries, would create lucrative growth prospects for the global Blockchain Distributed Ledger Market across the Asia Pacific region.

Major market players included in this report are:
Amazon Web Services, Inc.
Auxesis Services & Technologies (P) Ltd.
Digital Asset Holdings, LLC
Huawei Technologies Co., Ltd.
Intel Corporation
International Business Machines Corporation
NTT DATA Corporation

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 Component
By Type
By Enterprise Size
Large Enterprises
Small & Medium Enterprises
By Application
Smart Contracts
Supply Chain Management
Compliance Management
Trade Finance
By End User
Government & Public
Retail & E-Commerce
Media & Entertainment
Transportation & Logistics
Energy & Utilities
By Region:
North America

Asia Pacific
South Korea
Latin America
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 Blockchain Distributed Ledger 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

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
1.2.1. Global Blockchain Distributed Ledger Market, by Region, 2020-2028 (USD Million)
1.2.2. Global Blockchain Distributed Ledger Market, by Component, 2020-2028 (USD Million)
1.2.3. Global Blockchain Distributed Ledger Market, by Type, 2020-2028 (USD Million)
1.2.4. Global Blockchain Distributed Ledger Market, by Enterprise Size, 2020-2028 (USD Million)
1.2.5. Global Blockchain Distributed Ledger Market, by Application, 2020-2028 (USD Million)
1.2.6. Global Blockchain Distributed Ledger Market, by End User, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Blockchain Distributed Ledger 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 Blockchain Distributed Ledger Market Dynamics
3.1. Blockchain Distributed Ledger Market Impact Analysis (2020-2028)
3.1.1. Market Drivers Rising expansion of Blockchain Technology. Increasing adoption of distributed ledger across different industries. Strategic partnership from leading market players.
3.1.2. Market Challenges Lack of awareness towards block chain technology in emerging regions.
3.1.3. Market Opportunities Growing adoption of blockchain technology in banking and finance sector. Rising concern over data security across the organizations.
Chapter 4. Global Blockchain Distributed Ledger 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 Blockchain Distributed Ledger Market, by Component
6.1. Market Snapshot
6.2. Global Blockchain Distributed Ledger Market by Component, Performance – Potential Analysis
6.3. Global Blockchain Distributed Ledger Market Estimates & Forecasts by Component 2018-2028 (USD Million)
6.4. Blockchain Distributed Ledger Market, Sub Segment Analysis
6.4.1. Solution
6.4.2. Service
Chapter 7. Global Blockchain Distributed Ledger Market, by Type
7.1. Market Snapshot
7.2. Global Blockchain Distributed Ledger Market by Type, Performance – Potential Analysis
7.3. Global Blockchain Distributed Ledger Market Estimates & Forecasts by Type 2018-2028 (USD Million)
7.4. Blockchain Distributed Ledger Market, Sub Segment Analysis
7.4.1. Private
7.4.2. Public
7.4.3. Hybrid
Chapter 8. Global Blockchain Distributed Ledger Market, by Enterprise Size
8.1. Market Snapshot
8.2. Global Blockchain Distributed Ledger Market by Enterprise Size, Performance – Potential Analysis
8.3. Global Blockchain Distributed Ledger Market Estimates & Forecasts by Enterprise Size 2018-2028 (USD Million)
8.4. Blockchain Distributed Ledger Market, Sub Segment Analysis
8.4.1. Large Enterprises
8.4.2. Small & Medium Enterprises
Chapter 9. Global Blockchain Distributed Ledger Market, by Application
9.1. Market Snapshot
9.2. Global Blockchain Distributed Ledger Market by Application, Performance – Potential Analysis
9.3. Global Blockchain Distributed Ledger Market Estimates & Forecasts by Application 2018-2028 (USD Million)
9.4. Blockchain Distributed Ledger Market, Sub Segment Analysis
9.4.1. Payments
9.4.2. Smart Contracts
9.4.3. Supply Chain Management
9.4.4. Compliance Management
9.4.5. Trade Finance
Chapter 10. Global Blockchain Distributed Ledger Market, by End User
10.1. Market Snapshot
10.2. Global Blockchain Distributed Ledger Market by End User, Performance – Potential Analysis
10.3. Global Blockchain Distributed Ledger Market Estimates & Forecasts by End User 2018-2028 (USD Million)
10.4. Blockchain Distributed Ledger Market, Sub Segment Analysis
10.4.1. BFSI
10.4.2. Government & Public
10.4.3. Manufacturing
10.4.4. Retail & E-Commerce
10.4.5. Media & Entertainment
10.4.6. Transportation & Logistics
10.4.7. Healthcare
10.4.8. Energy & Utilities
Chapter 11. Global Blockchain Distributed Ledger Market, Regional Analysis
11.1. Blockchain Distributed Ledger Market, Regional Market Snapshot
11.2. North America Blockchain Distributed Ledger Market
11.2.1. U.S. Blockchain Distributed Ledger Market Component estimates & forecasts, 2018-2028 Type estimates & forecasts, 2018-2028 Enterprise Size estimates & forecasts, 2018-2028 Application estimates & forecasts, 2018-2028 End User estimates & forecasts, 2018-2028
11.2.2. Canada Blockchain Distributed Ledger Market
11.3. Europe Blockchain Distributed Ledger Market Snapshot
11.3.1. U.K. Blockchain Distributed Ledger Market
11.3.2. Germany Blockchain Distributed Ledger Market
11.3.3. France Blockchain Distributed Ledger Market
11.3.4. Spain Blockchain Distributed Ledger Market
11.3.5. Italy Blockchain Distributed Ledger Market
11.3.6. Rest of Europe Blockchain Distributed Ledger Market
11.4. Asia-Pacific Blockchain Distributed Ledger Market Snapshot
11.4.1. China Blockchain Distributed Ledger Market
11.4.2. India Blockchain Distributed Ledger Market
11.4.3. Japan Blockchain Distributed Ledger Market
11.4.4. Australia Blockchain Distributed Ledger Market
11.4.5. South Korea Blockchain Distributed Ledger Market
11.4.6. Rest of Asia Pacific Blockchain Distributed Ledger Market
11.5. Latin America Blockchain Distributed Ledger Market Snapshot
11.5.1. Brazil Blockchain Distributed Ledger Market
11.5.2. Mexico Blockchain Distributed Ledger Market
11.6. Rest of The World Blockchain Distributed Ledger Market

Chapter 12. Competitive Intelligence
12.1. Top Market Strategies
12.2. Company Profiles
12.2.1. Alphapoint Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
12.2.2. Amazon Web Services, Inc.
12.2.3. Auxesis Services & Technologies (P) Ltd.
12.2.4. Digital Asset Holdings, LLC
12.2.5. Earthport
12.2.6. Huawei Technologies Co., Ltd.
12.2.7. Intel Corporation
12.2.8. International Business Machines Corporation
12.2.9. iXledger
12.2.10. NTT DATA Corporation
Chapter 13. Research Process
13.1. Research Process
13.1.1. Data Mining
13.1.2. Analysis
13.1.3. Market Estimation
13.1.4. Validation
13.1.5. Publishing
13.2. Research Attributes
13.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
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:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
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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