Maritime Big Data Market Updates by 2031
Big data is the large volume of structured and unstructured data that is generated and are defined by its variety, velocity, and volume with which it is generated. The efficient analysis of these data extremely useful for business as it enables the business to uncover hidden pattern, ambiguities, unknown correlations, market trends, and other relevant business information. There are several benefits that the maritime industry derives through big data. The maritime sector generates roughly 100-120 million data points every day from sources such as vessel movement, ports and others. Companies analyze these data to identify efficiencies such as preferred routes or quick route which increases the performance.
MARKET DYNAMICS
The increasing partnerships to develop the technology capabilities are significantly driving the global maritime big data market. To implement the big data analytics, shipbuilders and companies are entering into the partnership with leading technology providers. Moreover, the maritime company is setting up the internal infrastructure for big data implementation is another significant factor driving the global maritime big data market.
MARKET SCOPE
The "Global Maritime Big Data Market Analysis to 2031" is a specialized and in-depth study of the maritime industry with a special focus on the global market trend analysis. The report aims to provide an overview of maritime big data market with detailed market segmentation by data source, vessel, application and geography. The global maritime big data market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading maritime big data market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The global maritime big data market is segmented on the basis of data source, vessel, and application. Based on data source, the market is segmented as environmental, geological data, oceanographic, economic, and others. On the basis of vessel type the market is segmented as merchant vessels, fishing vessels, military naval, and yachts/ recreational boats. The market on the basis of application is classified as chartering, vetting, and voyage operations.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global maritime big data market based on various segments. It also provides market size and forecast estimates from year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The maritime big data market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.
The report analyzes factors affecting maritime big data market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the electronic skin market in these regions.
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The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global maritime big data market based on various segments. It also provides market size and forecast estimates from year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The maritime big data market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.
The report analyzes factors affecting maritime big data market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the electronic skin market in these regions.
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Maritime Big Data Market - By Data Source
1.3.2 Maritime Big Data Market - By Vessel Type
1.3.3 Maritime Big Data Market - By Application
1.3.4 Maritime Big Data Market - By Region
1.3.4.1 By Country
2. KEY TAKEWAYS
3. RESEARCH METHODOLOGY
4. MARITIME BIG DATA MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PEST ANALYSIS
4.3.1 North America - Pest Analysis
4.3.2 Europe - Pest Analysis
4.3.3 Asia-Pacific - Pest Analysis
4.3.4 Middle East and Africa - Pest Analysis
4.3.5 South and Central America - Pest Analysis
4.3. ECOSYSTEM ANALYSIS
5. MARITIME BIG DATA MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC
6. MARITIME BIG DATA MARKET - GLOBAL MARKET ANALYSIS
6.1. MARITIME BIG DATA - GLOBAL MARKET OVERVIEW
6.2. MARITIME BIG DATA - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. MARITIME BIG DATA MARKET - REVENUE AND FORECASTS TO 2028 - DATA SOURCE
7.1. OVERVIEW
7.2. DATA SOURCE MARKET FORECASTS AND ANALYSIS
7.3. ENVIRONMENTAL
7.3.1. Overview
7.3.2. Environmental Market Forecast and Analysis
7.4. GEOLOGICAL DATA
7.4.1. Overview
7.4.2. Geological Data Market Forecast and Analysis
7.5. OCEANOGRAPHIC
7.5.1. Overview
7.5.2. Oceanographic Market Forecast and Analysis
7.6. ECONOMIC
7.6.1. Overview
7.6.2. Economic Market Forecast and Analysis
7.7. OTHERS
7.7.1. Overview
7.7.2. Others Market Forecast and Analysis
8. MARITIME BIG DATA MARKET - REVENUE AND FORECASTS TO 2028 - VESSEL TYPE
8.1. OVERVIEW
8.2. VESSEL TYPE MARKET FORECASTS AND ANALYSIS
8.3. MERCHANT VESSELS
8.3.1. Overview
8.3.2. Merchant Vessels Market Forecast and Analysis
8.4. FISHING VESSELS
8.4.1. Overview
8.4.2. Fishing Vessels Market Forecast and Analysis
8.5. MILITARY NAVAL
8.5.1. Overview
8.5.2. Military Naval Market Forecast and Analysis
8.6. YACHTS/ RECREATIONAL BOATS
8.6.1. Overview
8.6.2. Yachts Recreational Boats Market Forecast and Analysis
9. MARITIME BIG DATA MARKET - REVENUE AND FORECASTS TO 2028 - APPLICATION
9.1. OVERVIEW
9.2. APPLICATION MARKET FORECASTS AND ANALYSIS
9.3. CHARTERING
9.3.1. Overview
9.3.2. Chartering Market Forecast and Analysis
9.4. VETTING
9.4.1. Overview
9.4.2. Vetting Market Forecast and Analysis
9.5. VOYAGE OPERATIONS
9.5.1. Overview
9.5.2. Voyage Operations Market Forecast and Analysis
10. MARITIME BIG DATA MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
10.1. NORTH AMERICA
10.1.1 North America Maritime Big Data Market Overview
10.1.2 North America Maritime Big Data Market Forecasts and Analysis
10.1.3 North America Market Forecasts and Analysis - By Data Source
10.1.4 North America Market Forecasts and Analysis - By Vessel Type
10.1.5 North America Market Forecasts and Analysis - By Application
10.1.6 North America Market Forecasts and Analysis - By Countries
10.1.6.1 United States Market
10.1.6.1.1 United States Market by Data Source
10.1.6.1.2 United States Market by Vessel Type
10.1.6.1.3 United States Market by Application
10.1.6.2 Canada Market
10.1.6.2.1 Canada Market by Data Source
10.1.6.2.2 Canada Market by Vessel Type
10.1.6.2.3 Canada Market by Application
10.1.6.3 Mexico Market
10.1.6.3.1 Mexico Market by Data Source
10.1.6.3.2 Mexico Market by Vessel Type
10.1.6.3.3 Mexico Market by Application
10.2. EUROPE
10.2.1 Europe Maritime Big Data Market Overview
10.2.2 Europe Maritime Big Data Market Forecasts and Analysis
10.2.3 Europe Market Forecasts and Analysis - By Data Source
10.2.4 Europe Market Forecasts and Analysis - By Vessel Type
10.2.5 Europe Market Forecasts and Analysis - By Application
10.2.6 Europe Market Forecasts and Analysis - By Countries
10.2.6.1 Germany Market
10.2.6.1.1 Germany Market by Data Source
10.2.6.1.2 Germany Market by Vessel Type
10.2.6.1.3 Germany Market by Application
10.2.6.2 France Market
10.2.6.2.1 France Market by Data Source
10.2.6.2.2 France Market by Vessel Type
10.2.6.2.3 France Market by Application
10.2.6.3 Italy Market
10.2.6.3.1 Italy Market by Data Source
10.2.6.3.2 Italy Market by Vessel Type
10.2.6.3.3 Italy Market by Application
10.2.6.4 Spain Market
10.2.6.4.1 Spain Market by Data Source
10.2.6.4.2 Spain Market by Vessel Type
10.2.6.4.3 Spain Market by Application
10.2.6.5 United Kingdom Market
10.2.6.5.1 United Kingdom Market by Data Source
10.2.6.5.2 United Kingdom Market by Vessel Type
10.2.6.5.3 United Kingdom Market by Application
10.2.6.6 Rest of Europe Market
10.2.6.6.1 Rest of Europe Market by Data Source
10.2.6.6.2 Rest of Europe Market by Vessel Type
10.2.6.6.3 Rest of Europe Market by Application
10.3. ASIA-PACIFIC
10.3.1 Asia-Pacific Maritime Big Data Market Overview
10.3.2 Asia-Pacific Maritime Big Data Market Forecasts and Analysis
10.3.3 Asia-Pacific Market Forecasts and Analysis - By Data Source
10.3.4 Asia-Pacific Market Forecasts and Analysis - By Vessel Type
10.3.5 Asia-Pacific Market Forecasts and Analysis - By Application
10.3.6 Asia-Pacific Market Forecasts and Analysis - By Countries
10.3.6.1 Australia Market
10.3.6.1.1 Australia Market by Data Source
10.3.6.1.2 Australia Market by Vessel Type
10.3.6.1.3 Australia Market by Application
10.3.6.2 China Market
10.3.6.2.1 China Market by Data Source
10.3.6.2.2 China Market by Vessel Type
10.3.6.2.3 China Market by Application
10.3.6.3 India Market
10.3.6.3.1 India Market by Data Source
10.3.6.3.2 India Market by Vessel Type
10.3.6.3.3 India Market by Application
10.3.6.4 Japan Market
10.3.6.4.1 Japan Market by Data Source
10.3.6.4.2 Japan Market by Vessel Type
10.3.6.4.3 Japan Market by Application
10.3.6.5 Rest of Asia-Pacific Market
10.3.6.5.1 Rest of Asia-Pacific Market by Data Source
10.3.6.5.2 Rest of Asia-Pacific Market by Vessel Type
10.3.6.5.3 Rest of Asia-Pacific Market by Application
10.4. MIDDLE EAST AND AFRICA
10.4.1 Middle East and Africa Maritime Big Data Market Overview
10.4.2 Middle East and Africa Maritime Big Data Market Forecasts and Analysis
10.4.3 Middle East and Africa Market Forecasts and Analysis - By Data Source
10.4.4 Middle East and Africa Market Forecasts and Analysis - By Vessel Type
10.4.5 Middle East and Africa Market Forecasts and Analysis - By Application
10.4.6 Middle East and Africa Market Forecasts and Analysis - By Countries
10.4.6.1 Rest of Middle East and Africa Market
10.4.6.1.1 Rest of Middle East and Africa Market by Data Source
10.4.6.1.2 Rest of Middle East and Africa Market by Vessel Type
10.4.6.1.3 Rest of Middle East and Africa Market by Application
10.4.6.2 South Africa Market
10.4.6.2.1 South Africa Market by Data Source
10.4.6.2.2 South Africa Market by Vessel Type
10.4.6.2.3 South Africa Market by Application
10.4.6.3 Saudi Arabia Market
10.4.6.3.1 Saudi Arabia Market by Data Source
10.4.6.3.2 Saudi Arabia Market by Vessel Type
10.4.6.3.3 Saudi Arabia Market by Application
10.4.6.4 U.A.E Market
10.4.6.4.1 U.A.E Market by Data Source
10.4.6.4.2 U.A.E Market by Vessel Type
10.4.6.4.3 U.A.E Market by Application
10.5. SOUTH AND CENTRAL AMERICA
10.5.1 South and Central America Maritime Big Data Market Overview
10.5.2 South and Central America Maritime Big Data Market Forecasts and Analysis
10.5.3 South and Central America Market Forecasts and Analysis - By Data Source
10.5.4 South and Central America Market Forecasts and Analysis - By Vessel Type
10.5.5 South and Central America Market Forecasts and Analysis - By Application
10.5.6 South and Central America Market Forecasts and Analysis - By Countries
10.5.6.1 Rest of South and Central America Market
10.5.6.1.1 Rest of South and Central America Market by Data Source
10.5.6.1.2 Rest of South and Central America Market by Vessel Type
10.5.6.1.3 Rest of South and Central America Market by Application
10.5.6.2 Brazil Market
10.5.6.2.1 Brazil Market by Data Source
10.5.6.2.2 Brazil Market by Vessel Type
10.5.6.2.3 Brazil Market by Application
10.5.6.3 Rest of South and Central America Market
10.5.6.3.1 Rest of South and Central America Market by Data Source
10.5.6.3.2 Rest of South and Central America Market by Vessel Type
10.5.6.3.3 Rest of South and Central America Market by Application
11. INDUSTRY LANDSCAPE
11.1. MERGERS AND ACQUISITIONS
11.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
11.3. NEW PRODUCT LAUNCHES
11.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
12. MARITIME BIG DATA MARKET, KEY COMPANY PROFILES
12.1. ABB GROUP
12.1.1. Key Facts
12.1.2. Business Description
12.1.3. Products and Services
12.1.4. Financial Overview
12.1.5. SWOT Analysis
12.1.6. Key Developments
12.2. AVENCA LIMITED
12.2.1. Key Facts
12.2.2. Business Description
12.2.3. Products and Services
12.2.4. Financial Overview
12.2.5. SWOT Analysis
12.2.6. Key Developments
12.3. BIGOCEANDATA
12.3.1. Key Facts
12.3.2. Business Description
12.3.3. Products and Services
12.3.4. Financial Overview
12.3.5. SWOT Analysis
12.3.6. Key Developments
12.4. BMT GROUP LTD
12.4.1. Key Facts
12.4.2. Business Description
12.4.3. Products and Services
12.4.4. Financial Overview
12.4.5. SWOT Analysis
12.4.6. Key Developments
12.5. FIND MAPPING LIMITED
12.5.1. Key Facts
12.5.2. Business Description
12.5.3. Products and Services
12.5.4. Financial Overview
12.5.5. SWOT Analysis
12.5.6. Key Developments
12.6. OCEANWISE
12.6.1. Key Facts
12.6.2. Business Description
12.6.3. Products and Services
12.6.4. Financial Overview
12.6.5. SWOT Analysis
12.6.6. Key Developments
12.7. SINAY
12.7.1. Key Facts
12.7.2. Business Description
12.7.3. Products and Services
12.7.4. Financial Overview
12.7.5. SWOT Analysis
12.7.6. Key Developments
12.8. SPLUNK INC
12.8.1. Key Facts
12.8.2. Business Description
12.8.3. Products and Services
12.8.4. Financial Overview
12.8.5. SWOT Analysis
12.8.6. Key Developments
12.9. WAGO KONTAKTTECHNIK GMBH & CO. KG
12.9.1. Key Facts
12.9.2. Business Description
12.9.3. Products and Services
12.9.4. Financial Overview
12.9.5. SWOT Analysis
12.9.6. Key Developments
12.10. WILHELMSEN HOLDING ASA
12.10.1. Key Facts
12.10.2. Business Description
12.10.3. Products and Services
12.10.4. Financial Overview
12.10.5. SWOT Analysis
12.10.6. Key Developments
14. APPENDIX
14.1. ABOUT THE INSIGHT PARTNERS
14.2. GLOSSARY OF TERMS
1. ABB Group
2. Avenca Limited
3. BigOceanData
4. BMT Group Ltd
5. Find Mapping Limited
6. OceanWise
7. Sinay
8. Splunk Inc.
9. WAGO Kontakttechnik GmbH & Co. KG
10. Wilhelmsen Holding ASA
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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