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Global ROADM WSS Component Market to reach USD XX million by 2028.

Global ROADM WSS Component Market Size study, By Type (Blocker-based, Edge ROADMs, PLC-based, Wavelength Selective Switches (WSS), By Node (Two-node, Multi-node), By Application (Long Haul, Metro), By End-Use (Communication, Others), and Regional Forecasts 2022-2028

Product Code: ICTICTI-50238925
Publish Date: 14-08-2022
Page: 200

Global ROADM WSS Component 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.
An Optical Add/Drop Multiplexer (OADM) can be defined as a networking device that has access to all wavelengths on a fiber and it enables specific wavelengths to be dropped or added at a location while also allowing other wavelengths to optically pass through the site without requiring termination. Whereas, Wavelength selective switches (WSSs) refer to components used in wavelength division multiplexing (WDM) optical networks to route signals between optical fibers as per the wavelength. The growing telecom services sector worldwide and increasing penetration of smart connected devices as well as recent acquisitions activities from leading market players are factors that are accelerating the global market demand. For instance, according to Statista – in 2019, the Global spending on telecom services was estimated at USD 1.575 trillion and it is projected to grow to USD 1.595 trillion by 2024.Furthermore, as per Statista – as of 2022, the revenue in Telecommunications is projected at USD 146.1 billion, and the market is projected to show an annual growth rate of 3.67% between 2022 and 2025 to reach to USD 162.78 billion by 2025. Furthermore, leading market players are working towards new acquisitions to expand their geographical footprint and customer base. In May 2021, Switzerland based HUBER+SUHNER, a fiber optic cable manufacturer for the industrial, communication, and transportation markets, acquired Cambridge, England based ROADMap Systems Ltd. ROADMap Systems Ltd is a technology startup that specializes in wavelength-selective switch (WSS) technology. Also, growing adoption of high-speed networks and increasing emergence of cloud computing & M2M communications are anticipated to act as a catalyzing factor for the market demand during the forecast period. However, a complex deployment procedure coupled with high deployment cost associated with ROADM WSS Components impede the growth of the market over the forecast period of 2022-2028.

The key regions considered for the global ROADM WSS Component 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 Telecom sector and presence of leading market players. Whereas, North America is anticipated to exhibit a significant growth rate over the forecast period 2022-2028. Factors such as increasing adoption smartphones and TVs coupled with growing 5G telecom services in the region, would create lucrative growth prospects for the global ROADM WSS Component Market across the Asia Pacific region.

Major market players included in this report are:
AC Photonics, Inc
ADVA Optical Networking SE
Agiltron, Inc
Ciena Corporation
Cisco Systems, Inc
Corning Incorporated
Enablence Technologies, Inc.
Finisar Corporation
Fujitsu Limited

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 Type
Wavelength Selective Switches (WSS)

By Node

By Application
Long Haul

By End-Use
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 ROADM WSS Component 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. ROADM WSS Component Market, by Region, 2020-2028 (USD Million)
1.2.2. ROADM WSS Component Market, by Type, 2020-2028 (USD Million)
1.2.3. ROADM WSS Component Market, by Node, 2020-2028 (USD Million)
1.2.4. ROADM WSS Component Market, by Application, 2020-2028 (USD Million)
1.2.5. ROADM WSS Component Market, by End Use, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global ROADM WSS Component 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 ROADM WSS Component Market Dynamics
3.1. ROADM WSS Component Market Impact Analysis (2020-2028)
3.1.1. Market Drivers Growing telecom services sector worldwide. Increasing penetration of smart connected devices. Recent acquisitions activities from leading market players.
3.1.2. Market Challenges Complex deployment procedure coupled with high cost.
3.1.3. Market Opportunities Growing adoption of high-speed networks. Increasing emergence of cloud computing & M2M communications.
Chapter 4. Global ROADM WSS Component 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 ROADM WSS Component Market, by Type
6.1. Market Snapshot
6.2. Global ROADM WSS Component Market by Type, Performance – Potential Analysis
6.3. Global ROADM WSS Component Market Estimates & Forecasts by Type 2018-2028 (USD Million)
6.4. ROADM WSS Component Market, Sub Segment Analysis
6.4.1. Blocker-based
6.4.2. Edge ROADMs
6.4.3. PLC-based
6.4.4. Wavelength Selective Switches (WSS)
Chapter 7. Global ROADM WSS Component Market, by Node
7.1. Market Snapshot
7.2. Global ROADM WSS Component Market by Node, Performance – Potential Analysis
7.3. Global ROADM WSS Component Market Estimates & Forecasts by Node 2018-2028 (USD Million)
7.4. ROADM WSS Component Market, Sub Segment Analysis
7.4.1. Two-node
7.4.2. Multi-node
Chapter 8. Global ROADM WSS Component Market, by Application
8.1. Market Snapshot
8.2. Global ROADM WSS Component Market by Application, Performance – Potential Analysis
8.3. Global ROADM WSS Component Market Estimates & Forecasts by Application 2018-2028 (USD Million)
8.4. ROADM WSS Component Market, Sub Segment Analysis
8.4.1. Long Haul
8.4.2. Metro
Chapter 9. Global ROADM WSS Component Market, by End-Use
9.1. Market Snapshot
9.2. Global ROADM WSS Component Market by End-Use, Performance – Potential Analysis
9.3. Global ROADM WSS Component Market Estimates & Forecasts by End-Use 2018-2028 (USD Million)
9.4. ROADM WSS Component Market, Sub Segment Analysis
9.4.1. Communication
9.4.2. Others
Chapter 10. Global ROADM WSS Component Market, Regional Analysis
10.1. ROADM WSS Component Market, Regional Market Snapshot
10.2. North America ROADM WSS Component Market
10.2.1. U.S. ROADM WSS Component Market Type estimates & forecasts, 2018-2028 Node estimates & forecasts, 2018-2028 Application estimates & forecasts, 2018-2028 End-Use estimates & forecasts, 2018-2028
10.2.2. Canada ROADM WSS Component Market
10.3. Europe ROADM WSS Component Market Snapshot
10.3.1. U.K. ROADM WSS Component Market
10.3.2. Germany ROADM WSS Component Market
10.3.3. France ROADM WSS Component Market
10.3.4. Spain ROADM WSS Component Market
10.3.5. Italy ROADM WSS Component Market
10.3.6. Rest of Europe ROADM WSS Component Market
10.4. Asia-Pacific ROADM WSS Component Market Snapshot
10.4.1. China ROADM WSS Component Market
10.4.2. India ROADM WSS Component Market
10.4.3. Japan ROADM WSS Component Market
10.4.4. Australia ROADM WSS Component Market
10.4.5. South Korea ROADM WSS Component Market
10.4.6. Rest of Asia Pacific ROADM WSS Component Market
10.5. Latin America ROADM WSS Component Market Snapshot
10.5.1. Brazil ROADM WSS Component Market
10.5.2. Mexico ROADM WSS Component Market
10.6. Rest of The World ROADM WSS Component Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. AC Photonics Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.2.2. ADVA Optical Networking SE
11.2.3. Agiltron, Inc
11.2.4. Ciena Corporation
11.2.5. Cisco Systems, Inc
11.2.6. Corning Incorporated
11.2.7. Enablence Technologies, Inc.
11.2.8. Finisar Corporation
11.2.9. Fujitsu Limited
11.2.10. II-VI Inc
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

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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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