Vessel Route Optimization Artificial Intelligence (AI) Global Market Report 2025

The vessel route optimization artificial intelligence (AI) market size has grown rapidly in recent years. It will grow from $1.34 billion in 2024 to $1.51 billion in 2025 at a compound annual growth rate (CAGR) of 12.7%. The growth in the historic period is attributed to increasing regulatory pressure on emissions, rising need for operational efficiency, greater focus on safety and risk management, escalating fuel costs, government and industry incentives, and growing demand for digitalization.

The vessel route optimization artificial intelligence (AI) market size is expected to see rapid growth in the next few years. It will grow to $2.41 billion in 2029 at a compound annual growth rate (CAGR) of 12.3%. The growth in the forecast period is attributed to increasing adoption of autonomous vessels, rising demand for intelligent marine navigation, growing investments in port modernization, digital transformation in the maritime sector, and stricter environmental regulations. Key trends in the forecast period include advancements in sensor technology, integration of AI, adoption of technology in autonomous ships, developments in data processing, and incorporation of real-time data.

The rising fuel costs are expected to drive the growth of the vessel route optimization artificial intelligence (AI) market going forward. Fuel costs refer to the expenses incurred for purchasing fuel required to operate vehicles, ships, aircraft, or machinery. These costs are increasing due to crude oil price fluctuations caused by geopolitical tensions and supply-demand imbalances. Vessel route optimization artificial intelligence (AI) helps reduce fuel expenses by providing data-driven route planning, making it valuable for shipping companies and fleet operators. It minimizes unnecessary fuel consumption by optimizing navigation paths and avoiding delays, thereby improving operational efficiency and sustainability. For example, in September 2025, according to the Competition and Markets Authority, a UK-based government department, between May and August 2025, the average petrol price rose by 1.9 pence to 133.9 pence per litre, while diesel increased by 3.5 pence to 141.9 pence per litre. Therefore, rising fuel costs are driving the growth of the vessel route optimization artificial intelligence (AI) market.

Major companies in the vessel route optimization artificial intelligence (AI) market are focusing on developing technologically advanced solutions, such as AI-based vessel route optimization systems, to enhance operational efficiency, reduce emissions, and improve safety in maritime operations. An AI-based vessel route optimization solution uses artificial intelligence and real-time data to plan the most efficient, safe, and cost-effective routes for ships, reducing fuel consumption and emissions. For instance, in January 2025, HD Hyundai Marine Solution Co. Ltd., a South Korea-based engineering services company, launched OceanWise, an AI-based route optimization solution for shipping vessels. This system leverages big data and AI algorithms to optimize maritime routes, significantly reducing fuel consumption and greenhouse gas emissions. OceanWise demonstrated an average fuel-saving efficiency of 5.3%, translating into substantial cost savings. HD Hyundai plans to expand the solution to various vessel types and offer it as a subscription service, aiming to support sustainable and cost-effective shipping amid increasing environmental regulations.

In April 2024, DeepSea Technologies Inc., a US-based engineering and manufacturing company offering an AI-powered vessel route optimization tool, partnered with G2 Ocean AS to develop an effective voyage optimization solution. This partnership aims to deploy an AI-based voyage optimization system that uses widely available ship data to reduce fuel consumption and emissions, improve operational efficiency, and contribute to achieving net-zero emissions by 2050 in a practical and economically viable way. G2 Ocean AS is a Norway-based ship operator specializing in open hatch cargo handling, trade management, and port operations.

Major players in the vessel route optimization artificial intelligence (AI) market are Wärtsilä Oyj Abp, Kongsberg Maritime AS, Spire Inc., RINA S.p.A., HD Hyundai Oilbank, ZeroNorth A/S, Weathernews Inc., Windward Ltd., OneOcean Group Ltd., Danelec Marine A/S, Orca AI Ltd., NextBillion.AI, Ascenz Marorka, Sinay Ltd., Sea Machines Robotics, Spinergie Ltd., Bearing Inc., Dataloy Systems AS, OrbitMI Inc., and VoyageX Ltd.

North America was the largest region in the vessel route optimization artificial intelligence (AI) market in 2024. The regions covered in vessel route optimization artificial intelligence (AI) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The swift increase in U.S. tariffs and the ensuing trade tensions in spring 2025 are significantly affecting the transport services sector by driving up costs for vehicles, spare parts, and fuel, key inputs often sourced from tariff-affected regions. Freight operators, logistics providers, and public transportation systems are facing squeezed profit margins as higher equipment and maintenance costs coincide with limited ability to pass on these expenses to customers due to competitive pressures. The uncertainty has also delayed fleet modernization and the adoption of greener, more efficient vehicles, slowing progress toward sustainability goals. To adapt, transport firms are optimizing route planning, investing in fuel efficiency technologies, renegotiating supplier contracts, and exploring collaborative logistics models to share costs and mitigate the impact of higher tariffs.

The vessel route optimization artificial intelligence (AI) market research report is one of a series of new reports that provides vessel route optimization artificial intelligence (AI) market statistics, including vessel route optimization artificial intelligence (AI) industry global market size, regional shares, competitors with a vessel route optimization artificial intelligence (AI) market share, detailed vessel route optimization artificial intelligence (AI) market segments, market trends and opportunities, and any further data you may need to thrive in the vessel route optimization artificial intelligence (AI) industry. This vessel route optimization artificial intelligence (AI) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Vessel route optimization artificial intelligence (AI) involves the use of advanced algorithms, machine learning models, and real-time data analytics to identify the most efficient maritime routes for ships. Its purpose is to minimize fuel consumption, shorten travel time, and improve safety by dynamically adjusting routes based on factors such as weather conditions, sea currents, traffic, and port schedules.

The primary components of vessel route optimization artificial intelligence (AI) include software, hardware, and services. Software comprises programs and algorithms that handle route optimization, speed planning, weather routing, analytics, dashboards, and predictive modeling using AI and machine learning. It applies to various vessel types, including container ships, bulk carriers, tankers, passenger ships, and others, and can be deployed on-premises or via the cloud. Applications include fleet management, fuel optimization, voyage planning, and emission control, serving end-users such as commercial shipping, defense, oil and gas, fishing, and more.

The countries covered in the vessel route optimization artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The vessel route optimization artificial intelligence (AI) market consists of revenues earned by entities by providing services such as route planning and scheduling, fuel consumption optimization, weather and ocean condition analysis, emission monitoring and compliance, port call optimization, and predictive maintenance alerts. The market value includes the value of related goods sold by the service provider or included within the service offering. The vessel route optimization artificial intelligence (AI) market also includes sales of dynamic route planning tools, fuel optimization modules, digital twin simulations, emission reduction tools, and port and traffic optimization modules. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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