Vessel Route Optimization Artificial Intelligence (AI) Market Report 2026

The vessel route optimization artificial intelligence (AI) market size has grown rapidly in recent years. It will grow from $1.51 billion in 2025 to $1.7 billion in 2026 at a compound annual growth rate (CAGR) of 12.5%. The growth in the historic period can be attributed to increasing fuel cost volatility, expansion of global maritime trade routes, rising availability of vessel telemetry data, growing focus on operational efficiency, adoption of digital navigation platforms.

The vessel route optimization artificial intelligence (AI) market size is expected to see rapid growth in the next few years. It will grow to $2.7 billion in 2030 at a compound annual growth rate (CAGR) of 12.2%. The growth in the forecast period can be attributed to increasing regulatory pressure on emission reduction, rising investments in autonomous shipping technologies, expansion of cloud-based fleet management platforms, growing demand for real-time voyage optimization, increasing integration of ai with vessel navigation systems. Major trends in the forecast period include increasing adoption of ai-based dynamic route planning, rising integration of real-time weather and ocean data, growing use of predictive fuel optimization models, expansion of autonomous voyage decision support tools, enhanced focus on maritime safety analytics.

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 companies operating 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., VoyageX Ltd.

North America was the largest region in the vessel route optimization artificial intelligence (AI) market in 2025. The regions covered in the vessel route optimization artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the vessel route optimization artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, 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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