Global Maritime Big Data 麻豆原创 Research Report 2023

Publication ID:

PB503236926

Publication Date:

March 22, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The integration of big data into maritime is a part of the digital transformation. The big data has transformed shipping by enabling shippers to use data from the structures of the ship, their components, and the machinery in order to enhance their performance. Maritime big data is a combination of cutting-edge data analytics and shipping expertise.
Highlights
The global Maritime Big Data market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The lack of skilled manpower, emission controls, and cyber security are anticipated to be the major challenges for the growth of maritime big data market.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Maritime Big Data, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Maritime Big Data.
The Maritime Big Data market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Maritime Big Data market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Maritime Big Data companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Maritime International
Windward
Our Oceans Challenge
Big Data Value Associations
IHS Markit Ltd
Eniram Ltd
ABB
LAROS Technologies
Inmarsat Plc
Ericsson
Segment by Type
Remote Sensing
Intelligent Traffic Management
Energy Management
Vessel Safety and Security
Automatic Mode Detection
Performance Monitoring and Optimization
Others
Segment by Application
Military
Civilian
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Maritime Big Data companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Maritime Big Data 麻豆原创 Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Remote Sensing
1.2.3 Intelligent Traffic Management
1.2.4 Energy Management
1.2.5 Vessel Safety and Security
1.2.6 Automatic Mode Detection
1.2.7 Performance Monitoring and Optimization
1.2.8 Others
1.3 麻豆原创 by Application
1.3.1 Global Maritime Big Data 麻豆原创 Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Military
1.3.3 Civilian
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Maritime Big Data 麻豆原创 Perspective (2018-2029)
2.2 Maritime Big Data Growth Trends by Region
2.2.1 Global Maritime Big Data 麻豆原创 Size by Region: 2018 VS 2022 VS 2029
2.2.2 Maritime Big Data Historic 麻豆原创 Size by Region (2018-2023)
2.2.3 Maritime Big Data Forecasted 麻豆原创 Size by Region (2024-2029)
2.3 Maritime Big Data 麻豆原创 Dynamics
2.3.1 Maritime Big Data Industry Trends
2.3.2 Maritime Big Data 麻豆原创 Drivers
2.3.3 Maritime Big Data 麻豆原创 Challenges
2.3.4 Maritime Big Data 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Maritime Big Data Players by Revenue
3.1.1 Global Top Maritime Big Data Players by Revenue (2018-2023)
3.1.2 Global Maritime Big Data Revenue 麻豆原创 Share by Players (2018-2023)
3.2 Global Maritime Big Data 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Maritime Big Data Revenue
3.4 Global Maritime Big Data 麻豆原创 Concentration Ratio
3.4.1 Global Maritime Big Data 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Maritime Big Data Revenue in 2022
3.5 Maritime Big Data Key Players Head office and Area Served
3.6 Key Players Maritime Big Data Product Solution and Service
3.7 Date of Enter into Maritime Big Data 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Maritime Big Data Breakdown Data by Type
4.1 Global Maritime Big Data Historic 麻豆原创 Size by Type (2018-2023)
4.2 Global Maritime Big Data Forecasted 麻豆原创 Size by Type (2024-2029)
5 Maritime Big Data Breakdown Data by Application
5.1 Global Maritime Big Data Historic 麻豆原创 Size by Application (2018-2023)
5.2 Global Maritime Big Data Forecasted 麻豆原创 Size by Application (2024-2029)
6 North America
6.1 North America Maritime Big Data 麻豆原创 Size (2018-2029)
6.2 North America Maritime Big Data 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Maritime Big Data 麻豆原创 Size by Country (2018-2023)
6.4 North America Maritime Big Data 麻豆原创 Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Maritime Big Data 麻豆原创 Size (2018-2029)
7.2 Europe Maritime Big Data 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Maritime Big Data 麻豆原创 Size by Country (2018-2023)
7.4 Europe Maritime Big Data 麻豆原创 Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Maritime Big Data 麻豆原创 Size (2018-2029)
8.2 Asia-Pacific Maritime Big Data 麻豆原创 Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Maritime Big Data 麻豆原创 Size by Region (2018-2023)
8.4 Asia-Pacific Maritime Big Data 麻豆原创 Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Maritime Big Data 麻豆原创 Size (2018-2029)
9.2 Latin America Maritime Big Data 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Maritime Big Data 麻豆原创 Size by Country (2018-2023)
9.4 Latin America Maritime Big Data 麻豆原创 Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Maritime Big Data 麻豆原创 Size (2018-2029)
10.2 Middle East & Africa Maritime Big Data 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Maritime Big Data 麻豆原创 Size by Country (2018-2023)
10.4 Middle East & Africa Maritime Big Data 麻豆原创 Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Maritime International
11.1.1 Maritime International Company Detail
11.1.2 Maritime International Business Overview
11.1.3 Maritime International Maritime Big Data Introduction
11.1.4 Maritime International Revenue in Maritime Big Data Business (2018-2023)
11.1.5 Maritime International Recent Development
11.2 Windward
11.2.1 Windward Company Detail
11.2.2 Windward Business Overview
11.2.3 Windward Maritime Big Data Introduction
11.2.4 Windward Revenue in Maritime Big Data Business (2018-2023)
11.2.5 Windward Recent Development
11.3 Our Oceans Challenge
11.3.1 Our Oceans Challenge Company Detail
11.3.2 Our Oceans Challenge Business Overview
11.3.3 Our Oceans Challenge Maritime Big Data Introduction
11.3.4 Our Oceans Challenge Revenue in Maritime Big Data Business (2018-2023)
11.3.5 Our Oceans Challenge Recent Development
11.4 Big Data Value Associations
11.4.1 Big Data Value Associations Company Detail
11.4.2 Big Data Value Associations Business Overview
11.4.3 Big Data Value Associations Maritime Big Data Introduction
11.4.4 Big Data Value Associations Revenue in Maritime Big Data Business (2018-2023)
11.4.5 Big Data Value Associations Recent Development
11.5 IHS Markit Ltd
11.5.1 IHS Markit Ltd Company Detail
11.5.2 IHS Markit Ltd Business Overview
11.5.3 IHS Markit Ltd Maritime Big Data Introduction
11.5.4 IHS Markit Ltd Revenue in Maritime Big Data Business (2018-2023)
11.5.5 IHS Markit Ltd Recent Development
11.6 Eniram Ltd
11.6.1 Eniram Ltd Company Detail
11.6.2 Eniram Ltd Business Overview
11.6.3 Eniram Ltd Maritime Big Data Introduction
11.6.4 Eniram Ltd Revenue in Maritime Big Data Business (2018-2023)
11.6.5 Eniram Ltd Recent Development
11.7 ABB
11.7.1 ABB Company Detail
11.7.2 ABB Business Overview
11.7.3 ABB Maritime Big Data Introduction
11.7.4 ABB Revenue in Maritime Big Data Business (2018-2023)
11.7.5 ABB Recent Development
11.8 LAROS Technologies
11.8.1 LAROS Technologies Company Detail
11.8.2 LAROS Technologies Business Overview
11.8.3 LAROS Technologies Maritime Big Data Introduction
11.8.4 LAROS Technologies Revenue in Maritime Big Data Business (2018-2023)
11.8.5 LAROS Technologies Recent Development
11.9 Inmarsat Plc
11.9.1 Inmarsat Plc Company Detail
11.9.2 Inmarsat Plc Business Overview
11.9.3 Inmarsat Plc Maritime Big Data Introduction
11.9.4 Inmarsat Plc Revenue in Maritime Big Data Business (2018-2023)
11.9.5 Inmarsat Plc Recent Development
11.10 Ericsson
11.10.1 Ericsson Company Detail
11.10.2 Ericsson Business Overview
11.10.3 Ericsson Maritime Big Data Introduction
11.10.4 Ericsson Revenue in Maritime Big Data Business (2018-2023)
11.10.5 Ericsson Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Maritime International
Windward
Our Oceans Challenge
Big Data Value Associations
IHS Markit Ltd
Eniram Ltd
ABB
LAROS Technologies
Inmarsat Plc
Ericsson

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