The Growth of Maritime Communications and Technology Related to the Trends in the Shipping Industry: A Financial Perspective
Abstract
:1. Introduction
2. An Overview of the Maritime Industry Digitalization
2.1. Digitalization of Communication Technologies of the Maritime Industry
2.2. Financial and Business Challenges of Digitalization in the Maritime Industry
3. Methodology
3.1. Data Selection
- The rapid advancement of technology, particularly in the realm of artificial intelligence, is driving market growth by introducing new products and solutions. This includes increased availability of products such as airtime connections, expanded coverage, faster speeds, and innovative software and hardware solutions. As a result, the market itself is becoming more appealing from a marketing perspective, creating an endogenous effect that enhances its attractiveness.
- Changes in the legal framework governing maritime communications and technology could impact market growth by mandating the adoption of new technologies such as e-navigation. Moreover, additional legal requirements increase demand and subsequent revenue streams on maritime technology products, such as the direction for GMDSS requirements, which has led to the increase in the sale of GMDSS systems. As far as the directive for compulsory possessing two onboard ECDIS systems (i.e., one basic and one spare) gives rise to almost doubling the demand for ECDIS sales. This external factor could influence the market independently of the growth and financial trends of the shipping industry.
- The growth of the shipping industry, both in terms of increased revenues and the construction of new vessels, expands the market for maritime communications. At the same time, technological and regulatory factors are important for driving growth, and the financial perspective of the shipping industry plays a crucial role in establishing the conditions for the maritime communications market to thrive. Additionally, the perception that improved maritime connectivity positively impacts the value added and operational efficiency of shipping companies significantly contributes to the appeal of new connectivity products and solutions in the market.
3.2. Model and Variables
Variable | Coding | Description |
---|---|---|
Maritime Communication Revenue | MCREV | Maritime Communication Revenue in ‘000s USD. |
International maritime trade | IMT | International maritime trade in billions of tons loaded. |
Global maritime fleet—type A | GMFA | Global maritime fleet—type A measurement in ‘000s of vessels. |
Global maritime fleet—type B | GMFB | Global maritime fleet—type B measurement in billions of DWT1 |
Freight rates in tankers | FRTAN | Freight rates in tankers—estimated as annual average of daily VLCC spot rates in ‘000s USD. |
Freight rates in LNG vessels | FRLNG | Freight rates in LNG vessels—estimated as annual average of daily LNG carrier spot rates in ‘000s USD. |
Freight rates in dry bulk carriers of Capesize | FRDB | Freight rates in dry bulk carriers of Capesize—estimated as annual average of daily Spot Rates for dry bulk Capesize carriers in ‘000s USD. |
- The first concept delves into the volume of market activity in the shipping industry. Given the inherent limitation in collecting financial data, such as revenue and profits, due to reporting and disclosure constraints (e.g., offshore entities), we identify the figures of the international maritime trade to be more representative.
- The second concept explores the volume of market potential. Based on this notion, we assess the size of the global maritime fleet using two different measures of measurement: the absolute number of vessels and total tonnage for all active vessels.
- The third concept examines the volume of market demand. In this case, we consider freight rates, estimated as the annual average of the daily rates of each year. However, considering that freight rates vary based on vessel type, we choose to investigate the rates for the largest version of each major vessel type (e.g., tanker, LNG, dry bulk).
3.3. Data Presentation for the Main Variables
4. Results
5. Discussion and Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
1 | Deadweight Tonnage. |
2 | For the p-values expressed as 0.000 in the table, the actual value is not zero but rather very close to it. Thus, we round it to three decimals. |
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Maritime Communications Revenue (in Billions USD) | International Maritime Trade (Billions of Tons Loaded) | Global Maritime Fleet (No. of Vessels) | Global Maritime Fleet (DWT) | Tanker VLCC Freights (Annual Average of Daily Rates in ‘000s USD) | LNG Carrier Freights (Annual Average of Daily Rates in ‘000s USD) | Dry Bulk-Capesize Freights (Annual Average of Daily Rates in ‘000s USD) | |
---|---|---|---|---|---|---|---|
Variable I.D. | (1) | (2) | (3) | (4) | (5) | (6) | (7) |
Mean | 2.680 | 10.726 | 95.550 | 1.964 | 35.300 | 58.200 | 16.150 |
Standard Error | 0.227 | 0.173 | 1.266 | 0.053 | 5.492 | 6.656 | 2.315 |
Median | 2.650 | 10.840 | 95.650 | 1.985 | 34.000 | 60.000 | 15.750 |
Standard Deviation | 0.719 | 0.547 | 4.004 | 0.169 | 17.366 | 21.049 | 7.322 |
Sample Variance | 0.517 | 0.300 | 16.029 | 0.029 | 301.567 | 443.067 | 53.614 |
Range | 2.10 | 1.66 | 12.10 | 0.50 | 55.00 | 60.00 | 26.00 |
Minimum | 1.80 | 9.84 | 89.40 | 1.69 | 10.00 | 30.00 | 7.00 |
Maximum | 3.90 | 11.50 | 101.50 | 2.19 | 65.00 | 90.00 | 33.00 |
Sum | 27 | 107 | 956 | 20 | 353 | 582 | 162 |
Count | 10 | 10 | 10 | 10 | 10 | 10 | 10 |
Coefficient of Variation | 26.84% | 5.10% | 4.19% | 8.60% | 49.19% | 36.17% | 45.34% |
Maritime Communications Revenue (Billions USD) | International Maritime Trade (Billions of Tons Loaded) | Global Maritime Fleet (No. of Vessels) | Global Maritime Fleet (DWT) | Tanker VLCC Freights (Annual Average of Daily Rates in ‘000s USD) | LNG Carrier Freights (Annual Average of Daily Rates in ‘000s USD) | Dry Bulk Capesize Freights (Annual Average of Daily Rates in ‘000s USD) | |
---|---|---|---|---|---|---|---|
Variable I.D. | (1) | (2) | (3) | (4) | (5) | (6) | (7) |
Intercept coefficient | −9.934 | −14.262 | −5.470 | 2.839 | 1.115 | 1.703 | |
X variable coefficient | 1.176 | 0.177 | 4.150 | −0.005 | 0.027 | 0.060 | |
Rsq-coeff. of determination | 80.12% | 97.42% | 94.99% | 1.19% | 61.94% | 37.90% | |
r-correlation coefficient | 89.51% | 98.70% | 97.46% | 10.89% | 78.70% | 61.56% | |
Adjusted R Square | 77.64% | 97.09% | 94.36% | −11.17% | 57.19% | 30.14% | |
Standard Error | 0.340 | 0.123 | 0.171 | 0.758 | 0.471 | 0.601 | |
p-value on Y | 0.002 *** | 0.000 *** | 0.000 *** | 0.001 *** | 0.041 ** | 0.008 *** | |
p-value on X | 0.000 *** | 0.000 *** | 0.000 *** | 0.765 | 0.007 *** | 0.058 * | |
t-stat on Y | −4.47 *** | −14.61 *** | −8.24 *** | 5.01 *** | 2.43 ** | 3.54 *** | |
t-stat on X | 5.68 *** | 17.36 *** | 12.32 *** | −0.31 | 3.61 *** | 2.21 * |
Maritime Communications Revenue (Billions USD) | International Maritime Trade (Billions of Tons Loaded) | Global Maritime Fleet (No. of Vessels) | Maritime Communications Revenue (Billions USD) | International Maritime Trade (Billions of Tons Loaded) | Global Maritime Fleet (DWT) | ||
---|---|---|---|---|---|---|---|
Variable I.D. | (1) | (2) | (3) | Variable I.D. | (1) | (2) | (4) |
Intercept coefficient | −14.476 | Intercept coefficient | −4.788 | ||||
Variable (2) coefficient | −0.158 | Variable (2) coefficient | −0.142 | ||||
Variable (3) coefficient | 0.197 | Variable (4) coefficient | 4.580 | ||||
Rsq-coeff. of determination | 97.62% | Rsq-coeff. of determination | 95.14% | ||||
r-correlation coefficient | 98.81% | r-correlation coefficient | 97.54% | ||||
Adjusted R Square | 96.95% | Adjusted R Square | 93.75% | ||||
Standard Error | 0.126 | Standard Error | 0.180 | ||||
F-test | 143.86 * | F-test | 68.55 * |
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Charamis, E.; Charamis, D.; Kyriakopoulos, G.L.; Ntanos, S. The Growth of Maritime Communications and Technology Related to the Trends in the Shipping Industry: A Financial Perspective. Economies 2025, 13, 99. https://doi.org/10.3390/economies13040099
Charamis E, Charamis D, Kyriakopoulos GL, Ntanos S. The Growth of Maritime Communications and Technology Related to the Trends in the Shipping Industry: A Financial Perspective. Economies. 2025; 13(4):99. https://doi.org/10.3390/economies13040099
Chicago/Turabian StyleCharamis, Eleftherios, Dimitrios Charamis, Grigorios L. Kyriakopoulos, and Stamatios Ntanos. 2025. "The Growth of Maritime Communications and Technology Related to the Trends in the Shipping Industry: A Financial Perspective" Economies 13, no. 4: 99. https://doi.org/10.3390/economies13040099
APA StyleCharamis, E., Charamis, D., Kyriakopoulos, G. L., & Ntanos, S. (2025). The Growth of Maritime Communications and Technology Related to the Trends in the Shipping Industry: A Financial Perspective. Economies, 13(4), 99. https://doi.org/10.3390/economies13040099