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As per Intent Market Research, the Connected Ship Market was valued at USD 13.5 billion in 2023 and will surpass USD 22.2 billion by 2030; growing at a CAGR of 7.4% during 2024 - 2030.
This growth is spurred by various segments within the market, including hardware, software, and services, each comprising subsegments with unique contributions. Companies are now focusing on specific technologies that promise the most substantial benefits. By analyzing the largest or fastest-growing subsegments across these categories, we can gain insight into the market's trajectory and identify opportunities for innovation and investment.
Within the hardware segment of the Connected Ship Market, communication technologies have emerged as the largest subsegment, driven by the need for reliable and high-speed data transfer between vessels and shore. Technologies such as satellite communication systems, radio frequency identification (RFID), and high-frequency (HF) radio are increasingly being deployed to facilitate real-time data exchange. These systems not only support operational efficiency but also enhance safety protocols by ensuring that ships remain connected even in remote areas of the ocean.
As maritime operations become more complex, the demand for advanced hardware solutions is expected to surge. The integration of 5G technology into maritime communication is anticipated to play a pivotal role in this growth, enabling faster data transmission, enhanced streaming capabilities, and improved operational management. The focus on hardware upgrades ensures that vessels can harness the full potential of the connected ecosystem, allowing for greater automation and control over onboard processes.
The software segment of the Connected Ship Market is witnessing the fastest growth, largely attributed to the increasing adoption of data analytics solutions. As shipping companies gather vast amounts of data from various sources, the need for sophisticated software tools to analyze and interpret this information has become paramount. These analytics platforms enable operators to optimize routes, predict maintenance needs, and enhance fuel efficiency, thereby reducing operational costs and improving overall performance.
The proliferation of artificial intelligence (AI) and machine learning (ML) in software applications is further accelerating growth in this subsegment. By leveraging AI-driven insights, companies can make data-informed decisions that enhance operational efficiency and fleet management. As a result, the software segment is set to experience remarkable expansion, with a projected CAGR of around 21% from 2024 to 2030, reflecting the growing recognition of the value of data-driven decision-making in the maritime industry.
In the services segment, fleet management solutions have emerged as the largest subsegment, emphasizing the need for comprehensive services that ensure vessel efficiency, safety, and regulatory compliance. These services encompass a range of offerings, including maintenance, monitoring, and training, all designed to optimize fleet operations. As shipping companies increasingly focus on minimizing downtime and maximizing operational efficiency, the demand for integrated fleet management services continues to rise.
Moreover, the growing trend of outsourcing fleet management to specialized service providers allows shipping companies to concentrate on their core operations while benefiting from expert knowledge and advanced technological solutions. This trend is expected to boost the services segment significantly, with a projected growth rate of approximately 17% over the forecast period, highlighting the critical role that comprehensive services play in the Connected Ship Market.
The Asia-Pacific region is poised to become the fastest-growing area within the Connected Ship Market, driven by a surge in maritime trade and advancements in technology adoption. Countries such as China, Japan, and South Korea are at the forefront of integrating connected solutions into their shipping operations. The region's expansive coastline and busy shipping routes necessitate the implementation of advanced technologies to manage the increasing volume of maritime traffic efficiently.
Furthermore, supportive government initiatives and investments in port infrastructure are facilitating the growth of the connected ecosystem in Asia-Pacific. With a projected CAGR of around 19% from 2024 to 2030, the region is expected to dominate the market landscape, driven by the rising demand for connected shipping solutions that enhance operational capabilities and ensure safety across maritime operations.
The Connected Ship Market is characterized by a competitive landscape featuring several key players who are actively investing in innovation and technology development. Major companies in this sector include ABB Ltd., Cisco Systems, Inc., Ericsson, Kongsberg Gruppen, and Wärtsilä Corporation, each offering unique solutions that contribute to the connected ecosystem. These organizations focus on developing cutting-edge technologies and comprehensive service offerings that cater to the evolving needs of the maritime industry.
The competitive dynamics in the market are influenced by factors such as technological advancements, strategic partnerships, and mergers and acquisitions. Companies are increasingly collaborating with technology providers and research institutions to enhance their product offerings and expand their market reach. As the industry moves toward greater connectivity and digitalization, the competitive landscape will continue to evolve, presenting opportunities for both established players and new entrants to innovate and capture market share.
The report will help you answer some of the most critical questions in the Connected Ship Market. A few of them are as follows:
Report Features |
Description |
Market Size (2023) |
USD 13.5 billion |
Forecasted Value (2030) |
USD 22.2 billion |
CAGR (2024 – 2030) |
7.4% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Connected Ship Market By Component (Hardware, Software & Services), By Ship Type (Cargo, Passenger, Tankers, Fishing Vessels, Naval Vessels), By Application (Navigation and Safety, Cargo Tracking and Management, Fleet Management, Predictive Maintenance, Weather Monitoring and Forecasting), and By End User (Shipping Companies, Logistics Providers, Port Authorities, Government and Defense Agencies) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1. Introduction |
1.1. Market Definition |
1.2. Scope of the Study |
1.3. Research Assumptions |
1.4. Study Limitations |
2. Research Methodology |
2.1. Research Approach |
2.1.1. Top-Down Method |
2.1.2. Bottom-Up Method |
2.1.3. Factor Impact Analysis |
2.2. Insights & Data Collection Process |
2.2.1. Secondary Research |
2.2.2. Primary Research |
2.3. Data Mining Process |
2.3.1. Data Analysis |
2.3.2. Data Validation and Revalidation |
2.3.3. Data Triangulation |
3.Executive Summary |
3.1. Major Markets & Segments |
3.2. Highest Growing Regions and Respective Countries |
3.3. Impact of Growth Drivers & Inhibitors |
3.4. Regulatory Overview by Country |
4. Connected Ship Market, by Component (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1. Hardware |
4.1.1. Communication Devices |
4.1.2. Navigation Equipment |
4.1.3. Monitoring Equipment |
4.1.4. Others |
4.2. Software & Services |
5. Connected Ship Market, by Ship Type (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1. Cargo Ships |
5.2. Passenger Ships |
5.3. Tankers |
5.4. Fishing Vessels |
5.5. Naval Vessels |
5.6. Others |
6. Connected Ship Market, by Application (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1. Navigation and Safety |
6.2. Cargo Tracking and Management |
6.3. Fleet Management |
6.4. Predictive Maintenance |
6.5. Weather Monitoring and Forecasting |
6.6. Others |
7. Connected Ship Market, by End User (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1. Shipping Companies |
7.2. Logistics Providers |
7.3. Port Authorities |
7.4. Government and Defense Agencies |
7.5. Others |
8. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
8.1. Regional Overview |
8.2. North America |
8.2.1. Regional Trends & Growth Drivers |
8.2.2. Barriers & Challenges |
8.2.3. Opportunities |
8.2.4. Factor Impact Analysis |
8.2.5. Technology Trends |
8.2.6. North America Connected Ship Market, by Component |
8.2.7. North America Connected Ship Market, by Ship Type |
8.2.8. North America Connected Ship Market, by Application |
8.2.9. North America Connected Ship Market, by End User |
8.2.10. By Country |
8.2.10.1. US |
8.2.10.1.1. US Connected Ship Market, by Component |
8.2.10.1.2. US Connected Ship Market, by Ship Type |
8.2.10.1.3. US Connected Ship Market, by Application |
8.2.10.1.4. US Connected Ship Market, by End User |
8.2.10.2. Canada |
8.2.10.3. Mexico |
*Similar segmentation will be provided for each region and country |
8.3. Europe |
8.4. Asia-Pacific |
8.5. Latin America |
8.6. Middle East & Africa |
9. Competitive Landscape |
9.1. Overview of the Key Players |
9.2. Competitive Ecosystem |
9.2.1. Level of Fragmentation |
9.2.2. Market Consolidation |
9.2.3. Product Innovation |
9.3. Company Share Analysis |
9.4. Company Benchmarking Matrix |
9.4.1. Strategic Overview |
9.4.2. Product Innovations |
9.5. Start-up Ecosystem |
9.6. Strategic Competitive Insights/ Customer Imperatives |
9.7. ESG Matrix/ Sustainability Matrix |
9.8. Manufacturing Network |
9.8.1. Locations |
9.8.2. Supply Chain and Logistics |
9.8.3. Product Flexibility/Customization |
9.8.4. Digital Transformation and Connectivity |
9.8.5. Environmental and Regulatory Compliance |
9.9. Technology Readiness Level Matrix |
9.10. Technology Maturity Curve |
9.11. Buying Criteria |
10. Company Profiles |
10.1. ABB |
10.1.1. Company Overview |
10.1.2. Company Financials |
10.1.3. Product/Service Portfolio |
10.1.4. Recent Developments |
10.1.5. IMR Analysis |
*Similar information will be provided for other companies |
10.2. Emerson Electric |
10.3. Furuno Electric |
10.4. Gilat Satellite Networks |
10.5. Inmarsat |
10.6. Kongsberg Gruppen |
10.7. L3Harris Technologies |
10.8. Marlink |
10.9. Rockwell Automation |
10.10. Rolls-Royce |
10.11. Saab AB |
10.12. Schneider Electric |
10.13. Siemens |
10.14. Thales Group |
10.15. Wärtsilä |
11. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Connected Ship Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Connected Ship Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the Connected Ship ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Connected Ship Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.