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Global Vessel Traffic Management Market to reach USD XX million by 2028.

Global Vessel Traffic Management Market Size study, By Component (Equipment, Solution, Service), By System (Port Management Information System, Maritime Safety System, River Information System, ATON Management & Health Monitoring System, Others), By End-User (Commercial Sector, Defense Sector), and Regional Forecasts 2022-2028

Product Code: ICTICTI-15575346
Publish Date: 25-05-2022
Page: 200

Global Vessel Traffic Management Market is valued at approximately USDXX million in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2028. Vessel traffic management is the system that monitors, connects, and navigates the ships present which aids in observing overall vehicle movement in the waters. This system is used to analyze and calculate an evaluation of the continually changing marine environment. The rising traffic on the sea owing to the increase in the number of trade activities, growing focus on enhancing maritime safety, and increasing need for automation are the primary factors fostering market growth across the globe. For instance, according to Statista, the worldwide shipping container market is estimated to stand at USD 6.41 billion in 2020. Also, the amount is anticipated to grow and reach USD 15.87 billion by 2028. Therefore, the flourishing growth of the shipping container market is likely to influence the demand for vessel traffic management, which, in turn, augment the market growth in the near future. However, the rising effect of natural disasters on ports and the high cost associated with vessel traffic management impede the growth of the market over the forecast period of 2022-2028. Also, the emergence of next-generation vessel traffic management systems and increasing technological developments in maritime traffic management are anticipated to act as catalyzing factors for the market demand during the forecast period.

The key regions considered for the global Vessel Traffic Management 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 rising import & export activities, and growing investment in port construction & expansion activities. Whereas, Asia-Pacific is anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as the improving domestic capabilities of the shipping industry, as well as development of the countries such as South Korea, India, Japan, and China, would create lucrative growth prospects for the Vessel Traffic Management Market across the Asia-Pacific region.

Major market players included in this report are:
Kongsberg Gruppen
Saab SA
Leonardo S.p.A.
Wartsila
Thales Group
Rolta India,
Japan Radio Co. Ltd.
Frequentis
TERMA
Tokyo Keiki Inc.

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:
Equipment
Solution
Service
By System:
Port Management Information System
Maritime Safety System
River Information System
ATON Management & Health Monitoring System
Others
By End-User:
Commercial Sector
Defense Sector
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
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 Vessel Traffic Management 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
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
1.2.1. Vessel Traffic Management Market, by Region, 2020-2028 (USD Million)
1.2.2. Vessel Traffic Management Market, by Component, 2020-2028 (USD Million)
1.2.3. Vessel Traffic Management Market, by System, 2020-2028 (USD Million)
1.2.4. Vessel Traffic Management Market, by End-User, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Vessel Traffic Management 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 Vessel Traffic Management Market Dynamics
3.1. Vessel Traffic Management Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Rising traffic on the sea owing to the increase in the number of trade activities
3.1.1.2. Growing focus on enhancing maritime safety
3.1.2. Market Challenges
3.1.2.1. Rising effect of natural disasters on ports
3.1.2.2. High cost associated with vessel traffic management
3.1.3. Market Opportunities
3.1.3.1. Emergence of next-generation vessel traffic management systems
3.1.3.2. Increasing technological developments in maritime the traffic management
Chapter 4. Global Vessel Traffic Management 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 Vessel Traffic Management Market, by Component
6.1. Market Snapshot
6.2. Global Vessel Traffic Management Market by Component, Performance – Potential Analysis
6.3. Global Vessel Traffic Management Market Estimates & Forecasts by Component, 2018-2028 (USD Million)
6.4. Vessel Traffic Management Market, Sub Segment Analysis
6.4.1. Equipment
6.4.2. Solution
6.4.3. Service
Chapter 7. Global Vessel Traffic Management Market, by System
7.1. Market Snapshot
7.2. Global Vessel Traffic Management Market by System, Performance – Potential Analysis
7.3. Global Vessel Traffic Management Market Estimates & Forecasts by System, 2018-2028 (USD Million)
7.4. Vessel Traffic Management Market, Sub Segment Analysis
7.4.1. Port Management Information System
7.4.2. Maritime Safety System
7.4.3. River Information System
7.4.4. ATON Management & Health Monitoring System
7.4.5. Others
Chapter 8. Global Vessel Traffic Management Market, by End-User
8.1. Market Snapshot
8.2. Global Vessel Traffic Management Market by End-User, Performance – Potential Analysis
8.3. Global Vessel Traffic Management Market Estimates & Forecasts by End-User, 2018-2028 (USD Million)
8.4. Vessel Traffic Management Market, Sub Segment Analysis
8.4.1. Commercial Sector
8.4.2. Defense Sector
Chapter 9. Global Vessel Traffic Management Market, Regional Analysis
9.1. Vessel Traffic Management Market, Regional Market Snapshot
9.2. North America Vessel Traffic Management Market
9.2.1. U.S. Vessel Traffic Management Market
9.2.1.1. Component breakdown estimates & forecasts, 2018-2028
9.2.1.2. System breakdown estimates & forecasts, 2018-2028
9.2.1.3. End-User breakdown estimates & forecasts, 2018-2028
9.2.2. Canada Vessel Traffic Management Market
9.3. Europe Vessel Traffic Management Market Snapshot
9.3.1. U.K. Vessel Traffic Management Market
9.3.2. Germany Vessel Traffic Management Market
9.3.3. France Vessel Traffic Management Market
9.3.4. Spain Vessel Traffic Management Market
9.3.5. Italy Vessel Traffic Management Market
9.3.6. Rest of Europe Vessel Traffic Management Market
9.4. Asia-Pacific Vessel Traffic Management Market Snapshot
9.4.1. China Vessel Traffic Management Market
9.4.2. India Vessel Traffic Management Market
9.4.3. Japan Vessel Traffic Management Market
9.4.4. Australia Vessel Traffic Management Market
9.4.5. South Korea Vessel Traffic Management Market
9.4.6. Rest of Asia Pacific Vessel Traffic Management Market
9.5. Latin America Vessel Traffic Management Market Snapshot
9.5.1. Brazil Vessel Traffic Management Market
9.5.2. Mexico Vessel Traffic Management Market
9.6. Rest of The World Vessel Traffic Management Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Kongsberg Gruppen
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. Saab SA
10.2.3. Leonardo S.p.A.
10.2.4. Wartsila
10.2.5. Thales Group
10.2.6. Rolta India,
10.2.7. Japan Radio Co. Ltd.
10.2.8. Frequentis
10.2.9. TERMA
10.2.10. Tokyo Keiki Inc.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

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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.
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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.
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