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Global Cloud OSS BSS Market to reach USD XX million by 2028.

Global Cloud OSS BSS Market Size study, By Component (Solution, Service), By Enterprise Size (Large Enterprises, SMEs), By Cloud Type (Public, Hybrid, Private), By End Use Industry (IT and Telecom, BFSI, Media and Entertainment, Retail and E Commerce, Others), and Regional Forecasts 2022-2028

Product Code: ICTBC-43496108
Publish Date: 14-08-2022
Page: 200

Global Cloud OSS BSS 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 Cloud OSS (Operational Support Systems) and BSS (Business Support Systems) built on micro applications offers the necessary agility to create innovative, personalized customer experiences that would result in higher customer retention and improve revenues. BSS primarily covers order capture, Customer Relationship Management and Telecommunications billing activities whereas OSS covers Order Management, Network Inventory Management and Network Operations activities. The rising adoption of cloud-based services and increasing demand for convenient & efficient billing system as well as strategic initiatives from leading market players are factors that are accelerating the global market demand. For instance, according to Statista – in 2019, revenue in cloud services market worldwide was estimated at USD 152.11 billion, and the market further increased to USD 172.11 billion in 2021. Furthermore, leading market players are working towards strategic initiatives such as new product launches and partnerships to leverage the increasing adoption of Cloud OSS and BSS Systems. For instance, in March 2020, Massachusetts, USA based Netcracker entered in a strategic partnership with Google Cloud. Under this agreement the company would deploy its entire Digital BSS/OSS and Orchestration stack on Google Cloud. This move would enable telecommunication companies to scale and purchase mission-critical IT applications on demand, with access to Google Cloud resources, reducing the total cost of ownership. Moreover, in August 2021, India based STL launched new Cloud-Native OSS/BSS Solution Powered by Microsoft Azure for telecom service providers. Also, growing emergence of 5G technologies worldwide and rising advancements in cloud technologies are anticipated to act as a catalyzing factor for the market demand during the forecast period. However, a high deployment cost and security concerns and lack of technical expertise impede the growth of the market over the forecast period of 2022-2028.

The key regions considered for the global Cloud OSS BSS 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 adoption of cloud-based services 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 thriving growth of IT Sector and rising penetration of 5G technologies in the region, would create lucrative growth prospects for the global Cloud OSS BSS Market across the Asia Pacific region.

Major market players included in this report are:
Amdocs Limited
Telefonaktiebolaget LM Ericsson
Huawei Technologies Co., Ltd.
IBM Corporation
Nokia Corporation
Oracle Corporation
ZTE 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 Enterprise Size
Large Enterprises
By Cloud Type
By End Use Industry
IT and Telecom
Media and Entertainment
Retail and E Commerce
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 Cloud OSS BSS 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 Cloud OSS BSS Market, by Region, 2020-2028 (USD Million)
1.2.2. Global Cloud OSS BSS Market, by Component, 2020-2028 (USD Million)
1.2.3. Global Cloud OSS BSS Market, by Enterprise Size, 2020-2028 (USD Million)
1.2.4. Global Cloud OSS BSS Market, by Cloud Type, 2020-2028 (USD Million)
1.2.5. Global Cloud OSS BSS Market, by End Use Industry, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Cloud OSS BSS 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 Cloud OSS BSS Market Dynamics
3.1. Cloud OSS BSS Market Impact Analysis (2020-2028)
3.1.1. Market Drivers Rising adoption of cloud-based services. Increasing demand for convenient & efficient billing system. Strategic initiatives from leading market players.
3.1.2. Market Challenges High deployment cost and security concerns. Lack of technical expertise.
3.1.3. Market Opportunities Growing emergence of 5G technologies worldwide. Rising advancements in cloud technologies.
Chapter 4. Global Cloud OSS BSS 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 Cloud OSS BSS Market, by Component
6.1. Market Snapshot
6.2. Global Cloud OSS BSS Market by Component, Performance – Potential Analysis
6.3. Global Cloud OSS BSS Market Estimates & Forecasts by Component 2018-2028 (USD Million)
6.4. Cloud OSS BSS Market, Sub Segment Analysis
6.4.1. Solution
6.4.2. Service
Chapter 7. Global Cloud OSS BSS Market, by Enterprise Size
7.1. Market Snapshot
7.2. Global Cloud OSS BSS Market by Enterprise Size, Performance – Potential Analysis
7.3. Global Cloud OSS BSS Market Estimates & Forecasts by Enterprise Size 2018-2028 (USD Million)
7.4. Cloud OSS BSS Market, Sub Segment Analysis
7.4.1. Large Enterprises
7.4.2. SMEs
Chapter 8. Global Cloud OSS BSS Market, by Cloud Type
8.1. Market Snapshot
8.2. Global Cloud OSS BSS Market by Cloud Type, Performance – Potential Analysis
8.3. Global Cloud OSS BSS Market Estimates & Forecasts by Cloud Type 2018-2028 (USD Million)
8.4. Cloud OSS BSS Market, Sub Segment Analysis
8.4.1. Public
8.4.2. Hybrid
8.4.3. Private
Chapter 9. Global Cloud OSS BSS Market, by End Use Industry
9.1. Market Snapshot
9.2. Global Cloud OSS BSS Market by End Use Industry, Performance – Potential Analysis
9.3. Global Cloud OSS BSS Market Estimates & Forecasts by End Use Industry 2018-2028 (USD Million)
9.4. Cloud OSS BSS Market, Sub Segment Analysis
9.4.1. IT and Telecom
9.4.2. BFSI
9.4.3. Media and Entertainment
9.4.4. Retail and E Commerce
9.4.5. Others
Chapter 10. Global Cloud OSS BSS Market, Regional Analysis
10.1. Cloud OSS BSS Market, Regional Market Snapshot
10.2. North America Cloud OSS BSS Market
10.2.1. U.S. Cloud OSS BSS Market Component estimates & forecasts, 2018-2028 Enterprise Size estimates & forecasts, 2018-2028 Cloud Type estimates & forecasts, 2018-2028 End Use Industry estimates & forecasts, 2018-2028
10.2.2. Canada Cloud OSS BSS Market
10.3. Europe Cloud OSS BSS Market Snapshot
10.3.1. U.K. Cloud OSS BSS Market
10.3.2. Germany Cloud OSS BSS Market
10.3.3. France Cloud OSS BSS Market
10.3.4. Spain Cloud OSS BSS Market
10.3.5. Italy Cloud OSS BSS Market
10.3.6. Rest of Europe Cloud OSS BSS Market
10.4. Asia-Pacific Cloud OSS BSS Market Snapshot
10.4.1. China Cloud OSS BSS Market
10.4.2. India Cloud OSS BSS Market
10.4.3. Japan Cloud OSS BSS Market
10.4.4. Australia Cloud OSS BSS Market
10.4.5. South Korea Cloud OSS BSS Market
10.4.6. Rest of Asia Pacific Cloud OSS BSS Market
10.5. Latin America Cloud OSS BSS Market Snapshot
10.5.1. Brazil Cloud OSS BSS Market
10.5.2. Mexico Cloud OSS BSS Market
10.6. Rest of The World Cloud OSS BSS Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Amdocs Limited Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.2.2. Telefonaktiebolaget LM Ericsson
11.2.3. Huawei Technologies Co., Ltd.
11.2.5. IBM Corporation
11.2.6. Netcracker
11.2.7. Nokia Corporation
11.2.8. OPTIVA INC.
11.2.9. Oracle Corporation
11.2.10. ZTE Corporation
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. 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.
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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:
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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