The smart berth allocation algorithm market size is expected to see rapid growth in the next few years. It will grow to $1.94 billion in 2030 at a compound annual growth rate (CAGR) of 14.2%. The growth in the forecast period can be attributed to expansion of smart port initiatives, rising investments in port automation platforms, growing use of cloud-based optimization software, increased focus on predictive and prescriptive analytics, integration of ai-driven decision-support tools. Major trends in the forecast period include increasing adoption of ai-driven berth scheduling systems, rising integration with terminal operating systems, growing use of predictive vessel arrival analytics, expansion of real-time berth monitoring solutions, enhanced focus on congestion reduction algorithms.
The rise in global maritime trade is expected to support the growth of the smart berth allocation algorithm market in the coming years. Maritime trade refers to the movement of goods by sea between regions or countries, serving as a vital and cost-effective component of global commerce. Global maritime trade is increasing as international demand for goods grows, resulting in more shipments across oceans. Smart berth allocation algorithms assist maritime trade by optimizing vessel scheduling and berth assignments, thereby improving the efficiency of cargo handling and overall port operations. For example, in June 2023, a report from the United Nations Conference on Trade and Development, an intergovernmental organization based in Switzerland, projected that maritime trade would grow by 2.4% in 2023 and continue expanding at a rate of more than 2% annually from 2024 to 2028. Therefore, the growth in global maritime trade is contributing to the expansion of the smart berth allocation algorithm market.
Leading companies in the smart berth allocation algorithm market are focusing on technological innovations such as AI-driven berth scheduling to improve port operational efficiency, optimize berth utilization, and enhance overall logistics performance. AI-driven berth scheduling uses artificial intelligence to automatically assign vessels to port berths, reducing waiting times, maximizing berth usage, and improving port operations. For instance, in March 2025, Royal Vopak N.V., a Netherlands-based tank storage company, launched its 66 Yunlian AI-powered solution to modernize port operations and optimize asset management. Utilizing advanced AI, the platform enables automated berth scheduling, real-time monitoring of port activities, and predictive analytics for vessel arrivals and departures. This technology enhances operational efficiency, reduces vessel turnaround times, improves resource utilization, and supports data-driven decision-making, positioning ports to manage increasing maritime traffic effectively while maintaining high service and safety standards.
In March 2024, Peel Ports Group, a UK-based port operator offering cargo handling, logistics, and marine services, collaborated with Awake.AI to implement AI-driven berth planning and predictive solutions. This partnership aims to optimize berth utilization, improve operational coordination, reduce vessel turnaround times, and minimize emissions. Awake.AI is a Finland-based technology company specializing in AI-driven smart port and maritime logistics solutions.
Major companies operating in the smart berth allocation algorithm market are Asea Brown Boveri Ltd., Wärtsilä Voyage Limited, PSA International Pte Ltd., Kalmar Corporation, CyberLogitec Co. Ltd., Tideworks Technology Inc., Veson Nautical LLC, Sinay Ltd., Portchain ApS, VoyageX AI, INFORM GmbH, PortOptimize (Ideal Tech FZCO), NexLink Maritime, Optko, NextPort, MarineTraffic, Saab Technologies, Orbita Ports & Terminals, Awake AI, Innovez One Pte Ltd.
North America was the largest region in the smart berth allocation algorithm market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the smart berth allocation algorithm market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the smart berth allocation algorithm market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The smart berth allocation algorithm market consists of revenues earned by entities by providing services such as cost optimization services, dynamic berth scheduling services, operational risk management services, port traffic management services, and resource allocation optimization services. The market value includes the value of related goods sold by the service provider or included within the service offering. The smart berth allocation algorithm market also includes sales of digital scheduling dashboards, the portchain berth planning solution, kaleris berth window management, automated mooring, and big data analytics platforms. 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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Table of Contents
Executive Summary
Smart Berth Allocation Algorithm Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses smart berth allocation algorithm market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for smart berth allocation algorithm? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The smart berth allocation algorithm market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Hardware; Services2) By Deployment Mode: on-Premises; Cloud-Based
3) By Application: Container Terminals; Bulk Terminals; Oil and Gas Terminals; Other Applications
4) By End-User: Port Authorities; Shipping Companies; Terminal Operators; Other End-Users
Subsegments:
1) By Software: Berth Scheduling and Optimization Software; Terminal Operating System (TOS) Integration Modules; Predictive Analytics and AI-Based Optimization Tools; Real-Time Vessel Tracking and Monitoring Software; Simulation and Scenario Planning Software; Data Analytics and Reporting Platforms2) By Hardware: Vessel Traffic Management Systems (VTMS); Port Sensors and IoT Devices; Edge Computing Devices and Gateways; Servers and Data Storage Systems; Communication and Networking Equipment; Onshore Control Room Equipment and Displays
3) By Services: Implementation and Integration Services; Consulting and System Design Services; Training and Knowledge Transfer; Maintenance and Support Services; Managed Services; Upgrades and Customization Services
Companies Mentioned: Asea Brown Boveri Ltd.; Wärtsilä Voyage Limited; PSA International Pte Ltd.; Kalmar Corporation; CyberLogitec Co. Ltd.; Tideworks Technology Inc.; Veson Nautical LLC; Sinay Ltd.; Portchain ApS; VoyageX AI; INFORM GmbH; PortOptimize (Ideal Tech FZCO); NexLink Maritime; Optko; NextPort; MarineTraffic; Saab Technologies; Orbita Ports & Terminals; Awake AI; Innovez One Pte Ltd.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Smart Berth Allocation Algorithm market report include:- Asea Brown Boveri Ltd.
- Wärtsilä Voyage Limited
- PSA International Pte Ltd.
- Kalmar Corporation
- CyberLogitec Co. Ltd.
- Tideworks Technology Inc.
- Veson Nautical LLC
- Sinay Ltd.
- Portchain ApS
- VoyageX AI
- INFORM GmbH
- PortOptimize (Ideal Tech FZCO)
- NexLink Maritime
- Optko
- NextPort
- MarineTraffic
- Saab Technologies
- Orbita Ports & Terminals
- Awake AI
- Innovez One Pte Ltd.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 1.14 Billion |
| Forecasted Market Value ( USD | $ 1.94 Billion |
| Compound Annual Growth Rate | 14.2% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |


