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Global Digital Shipyard Market to reach USD 2.3 billion by 2027.

Global Digital Shipyard Market by Type (Commercial, Military), Technology (AR VR, Blockchain, Digital Twin, Additive Manufacturing, IIoT), Capacity (Large, Medium, Small Shipyard), Regional Forecasts 2021-2027

Product Code: OIRIA-93809084
Publish Date: 15-08-2021
Page: 200

Global Digital Shipyard Market is valued approximately at USD 0.69 billion in 2020 and is anticipated to grow with a healthy growth rate of more than 19.1% over the forecast period 2021-2027. The digital shipyard aims to revolutionize the shipyard industry from top to bottom by utilizing the proper technology to achieve strategic goals; From the boardroom table at the shipyard to the factory floor. The way forward is to alter the whole organizational environment and business processes over the full lifespan. For major shipyards, the creation of a digital shipyard is an intriguing possibility. The digital shipyard market is driven by rise in global seaborne trade and increase in the adoption of product lifecycle management (PLM) solutions. For instance, as per Statista, Between 2006 and 2019, the volume of loaded and unloaded products in international seaborne trade increased by about 39 to 43 percent. In 2019, roughly 11 billion tons of goods were loaded around the world. furthermore, rise in product launches and private players initiatives boost the market growth further. For instance, Siemens Digital Industries Software launched its new Simcenter system simulation solutions in October 2019, focused at assisting industries with precise and competitive system modelling. However, increased vulnerability to cyber threats may impede market growth over the forecast period of 2021-2027.

The presence of growing economies such as China and India, which are modernizing and buying marine vessels for the upgradation of their shipyards and to create a strong foothold in the marine industry, means that Asia Pacific has significant development potential in the digital shipyard market. To achieve its goal of digital transformation at various levels of digitalization, the Asia Pacific region uses advanced technologies and solutions at leading shipyards such as China Shipbuilding Industry Corporation (China), Hyundai Heavy Industries (South Korea), Mitsubishi Heavy Industries (Japan), and Cochin Shipyard (India), among others.

Major market player included in this report are:
Damen Shipyards Group
Altair Engineering, Inc.
Kreyon Systems Pvt. Ltd.
AVEVA Group Plc
Kranendonk Smart Robotics
Dassault Systemes
BAE Systems
Inmarsat Plc
Prostep AG

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:
Commercial Shipyards
Military Shipyards
By Technology:
Internet of Things
Block chain
Robotics & Automation
Augmented Reality/Virtual Reality
Additive Manufacturing
Digital Twin Technology
By Capacity:
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 Digital Shipyard 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 Billion)
1.2.1. Digital Shipyard Market, by Region, 2019-2027 (USD Billion)
1.2.2. Digital Shipyard Market, by type, 2019-2027 (USD Billion)
1.2.3. Digital Shipyard Market, by Technology, 2019-2027 (USD Billion)
1.2.4. Digital Shipyard Market, by Capacity, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Digital Shipyard 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 Digital Shipyard Market Dynamics
3.1. Digital Shipyard Market Impact Analysis (2019-2027)
3.1.1. Market Drivers Rise in global seaborne trade Increase in the adoption of product lifecycle management (PLM) solutions
3.1.2. Market Restraint Increased vulnerability to cyber threats High cost of acquisition of digital shipyard software solutions
3.1.3. Market Opportunities Increasing use of augmented reality in shipbuilding Rise in adoption of digital twin in shipbuilding industry
Chapter 4. Global Digital Shipyard 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 Digital Shipyard Market, by type
5.1. Market Snapshot
5.2. Global Digital Shipyard Market by type, Performance – Potential Analysis
5.3. Global Digital Shipyard Market Estimates & Forecasts by type 2018-2027 (USD Billion)
5.4. Digital Shipyard Market , Sub Segment Analysis
5.4.1. Commercial Shipyards
5.4.2. Military Shipyards
Chapter 6. Global Digital Shipyard Market, by technology
6.1. Market Snapshot
6.2. Global Digital Shipyard Market by Technology, Performance – Potential Analysis
6.3. Global Digital Shipyard Market Estimates & Forecasts by technology 2018-2027 (USD Billion)
6.4. Digital Shipyard Market , Sub Segment Analysis
6.4.1. Internet of Things
6.4.2. Block chain
6.4.3. Robotics & Automation
6.4.4. Augmented Reality/Virtual Reality
6.4.5. Additive Manufacturing
6.4.6. Digital Twin Technology
6.4.7. Others
Chapter 7. Global Digital Shipyard Market, by capacity
7.1. Market Snapshot
7.2. Global Digital Shipyard Market by capacity, Performance – Potential Analysis
7.3. Global Digital Shipyard Market Estimates & Forecasts by capacity 2018-2027 (USD Billion)
7.4. Digital Shipyard Market , Sub Segment Analysis
7.4.1. Large
7.4.2. Medium
7.4.3. Small
Chapter 8. Global Digital Shipyard Market, Regional Analysis
8.1. Digital Shipyard Market , Regional Market Snapshot
8.2. North America Digital Shipyard Market
8.2.1. U.S. Digital Shipyard Market Type breakdown estimates & forecasts, 2018-2027 Technology breakdown estimates & forecasts, 2018-2027 Capacity breakdown estimates & forecasts, 2018-2027
8.2.2. Canada Digital Shipyard Market
8.3. Europe Digital Shipyard Market Snapshot
8.3.1. U.K. Digital Shipyard Market
8.3.2. Germany Digital Shipyard Market
8.3.3. France Digital Shipyard Market
8.3.4. Spain Digital Shipyard Market
8.3.5. Italy Digital Shipyard Market
8.3.6. Rest of Europe Digital Shipyard Market
8.4. Asia-Pacific Digital Shipyard Market Snapshot
8.4.1. China Digital Shipyard Market
8.4.2. India Digital Shipyard Market
8.4.3. Japan Digital Shipyard Market
8.4.4. Australia Digital Shipyard Market
8.4.5. South Korea Digital Shipyard Market
8.4.6. Rest of Asia Pacific Digital Shipyard Market
8.5. Latin America Digital Shipyard Market Snapshot
8.5.1. Brazil Digital Shipyard Market
8.5.2. Mexico Digital Shipyard Market
8.6. Rest of The World Digital Shipyard Market
Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Damen Shipyards Group Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.2.2. Siemens
9.2.3. Altair Engineering, Inc.
9.2.4. Kreyon Systems Pvt. Ltd.
9.2.5. AVEVA Group Plc
9.2.6. Kranendonk Smart Robotics
9.2.7. Dassault Systemes
9.2.8. BAE Systems
9.2.9. Inmarsat Plc
9.2.10. Prostep AG
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.
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Data Collection:
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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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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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