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Global Blockchain in TelecomMarket to reach USD 12.32billion by 2027.

Global Blockchain in TelecomMarket Size study, byProvider(Application Providers, Middleware Providers, Infrastructure Providers) by Application (OSS/BSS Processes, Identity Management ,Payments, Smart Contracts, Connectivity Provisioning, Others) by Organization size (Small and Medium-Sized Enterprises, Large Enterprises) and Regional Forecasts 2021-2027

Product Code: ICTNGT-66913048
Publish Date: 5-07-2021
Page: 200

Global Blockchain in TelecomMarket is valued approximately USD 0.17billion in 2020 and is anticipated to grow with a healthy growth rate of more than 84.4% over the forecast period 2021-2027. Blockchain is a decentralized digital ledger that records information in an incorruptible manner. Each operation is one-of-a-kind and is stored in a dynamic network that cannot be lost. A blockchain in telecom technology can allow telecom operators to store distinctive device/SIM data, as well as user profiles, on the blockchain, instantly block a stolen device, and keep intermediaries notified of any changes in device status.Telecommunications fraud, sometimes known as telecom fraud, is a rapidly expanding violent crime. It challenges law enforcement authorities with a new difficulty. For telecom service providers, blockchain can aid in fraud prevention and detection. In March 2021, the Department of Information and Communications Technology produced a policy document on blockchain technology in order to control its usage in a range of formal and informal applications. In order to manage fraud, India’s telecom regulatory authority (TRAI) has previously used distributor-ledger technology (DLT), which has become one of the biggest utilization of blockchains. Besides the telecom sector, blockchain technologies are also being widely embraced in the Internet of Things sector, which might help the market develop even faster throughout the projected timeframe. Another major aspect driving the market for blockchain applications is the growing adoption of this technology for 5G deployment. This is expected to open up more prospects for blockchain in the telecommunication business in the coming years. However, the rise in concerns about user authenticity may stifle business growth, and consumer authenticity is a critical component of the telecommunications industry. Other than that, the absence of uniform legislation and regulations uncertainties in the telecommunications sector may stymie the industry’s total long-term economic growth. Also, increased support for procedures such as BSS and OSS, which has pushed the sector forward is likely to increase the market growth during the forecast period.

Due to increases in venture funding, a spike in the proportion of startups, and authorities’ increased focus on controlling blockchain technology in the telecommunications market area, APAC is predicted to have the fastest significant growth during the forecast timeframe. The major telecom companies, financial centres, and government entities in China, Australia and New Zealand, India, and Singapore all provide significant prospects for blockchain use in the telecommunication industry. North America, on the other hand, is estimated to hold the largest market during the projected timeframe.

Major market player included in this report are:

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:
Application Providers
Middleware Providers
Infrastructure Providers
OSS/BSS Processes
Identity Management
Smart Contracts
Connectivity Provisioning
By Organization size:
Small and Medium-Sized Enterprises
Large Enterprises

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
Base year – 2020
Forecast period – 2021 to 2027

Target Audience of the Global Blockchain in Telecom 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, 2019-2027 (USD Million)
1.2.1. Blockchain in Telecom Market, by Region, 2019-2027 (USD Million)
1.2.2. Blockchain in Telecom Market, by Provider,2019-2027 (USD Million)
1.2.3. Blockchain in Telecom Market, by Application,2019-2027 (USD Million)
1.2.4. Blockchain in Telecom Market, by Organization Size,2019-2027 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Blockchain in Telecom 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 in Telecom Market Dynamics
3.1. Blockchain in Telecom Market Impact Analysis (2019-2027)
3.1.1. Market Drivers Increasing use in telecommunications Widespread adoption in IoT sector
3.1.2. Market Challenges Absence of uniform legislation and regulations uncertainties in the telecommunications sector
3.1.3. Market Opportunities Increasing usage of BSS and OSS
Chapter 4. Global Blockchain in Telecom 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 (2018-2027)
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
Chapter 5. Global Blockchain in Telecom Market, by Provider
5.1. Market Snapshot
5.2. Global Blockchain in Telecom Market by Provider, Performance – Potential Analysis
5.3. Global Blockchain in Telecom Market Estimates & Forecasts by Provider2018-2027 (USD Million)
5.4. Blockchain in Telecom Market, Sub Segment Analysis
5.4.1. Application providers
5.4.2. Middleware providers
5.4.3. Infrastructure providers
Chapter 6. Global Blockchain in Telecom Market, by Application
6.1. Market Snapshot
6.2. Global Blockchain in Telecom Market by Application, Performance – Potential Analysis
6.3. Global Blockchain in Telecom Market Estimates & Forecasts by Application2018-2027 (USD Million)
6.4. Blockchain in Telecom Market, Sub Segment Analysis
6.4.1. OSS/BSS
6.4.2. Identity management
6.4.3. Payments
6.4.4. Smart Contracts
6.4.5. Connectivity Provisioning
6.4.6. Others
Chapter 7. Global Blockchain in Telecom Market, by Organization Size
7.1. Market Snapshot
7.2. Global Blockchain in Telecom Market by Organization Size, Performance – Potential Analysis
7.3. Global Blockchain in Telecom Market Estimates & Forecasts by Organization Size 2018-2027 (USD Million)
7.4. Blockchain in Telecom Market, Sub Segment Analysis
7.4.1. Small and medium-sized enterprises
7.4.2. Large enterprises

Chapter 8. Global Blockchain in Telecom Market, Regional Analysis
8.1. Blockchain in Telecom Market, Regional Market Snapshot
8.2. North America Blockchain in Telecom Market
8.2.1. U.S. Blockchain in Telecom Market Providerbreakdown estimates & forecasts, 2018-2027 Applicationbreakdown estimates & forecasts, 2018-2027 Organization Size breakdown estimates & forecasts, 2018-2027
8.2.2. Canada Blockchain in Telecom Market
8.3. Europe Blockchain in Telecom Market Snapshot
8.3.1. U.K. Blockchain in Telecom Market
8.3.2. Germany Blockchain in Telecom Market
8.3.3. France Blockchain in Telecom Market
8.3.4. Spain Blockchain in Telecom Market
8.3.5. Italy Blockchain in Telecom Market
8.3.6. Rest of Europe Blockchain in Telecom Market
8.4. Asia-Pacific Blockchain in Telecom Market Snapshot
8.4.1. China Blockchain in Telecom Market
8.4.2. India Blockchain in Telecom Market
8.4.3. Japan Blockchain in Telecom Market
8.4.4. Australia Blockchain in Telecom Market
8.4.5. South Korea Blockchain in Telecom Market
8.4.6. Rest of Asia Pacific Blockchain in Telecom Market
8.5. Latin America Blockchain in Telecom Market Snapshot
8.5.1. Brazil Blockchain in Telecom Market
8.5.2. Mexico Blockchain in Telecom Market
8.6. Rest of The World Blockchain in Telecom Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. AWS Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.2.2. Guardtime
9.2.3. IBM
9.2.4. Microsoft
9.2.5. SAP
9.2.6. Huawei
9.2.7. Oracle
9.2.8. Reply
9.2.9. Clear
9.2.10. Blockpoint
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. 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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