The Australian motor boat market declined markedly to $195M in 2024, shrinking by -21.9% against the previous year. In general, consumption, however, showed a mild increase. As a result, consumption reached the peak level of $363M. From 2020 to 2024, the growth of the market remained at a lower figure.

The marine equipment retailers’ fortunes have fluctuated over recent years. Pandemic restrictions spurred a renewed interest in recreational boating during the early years, as consumers traded international travel for holidays on the water. This surge in interest drove a sharp upswing in demand for marine equipment, from paddle crafts to powerboats. However, the boom also caused supply challenges, with manufacturing slowdowns and logistical delays affecting product availability. Sales slumped in the post-pandemic environment, with rising inflation and stronger interest rates leaving consumers with less money for big-ticket purchases. Overall industry revenue is expected to rise at an annualised 3.2% over the five years through 2024-25. This includes an estimated rise of 3.5% in the current year to $2.6 billion, owing to an anticipated improvement in interest rates and stronger discretionary income. Grey imports have been a persistent problem for local retailers. Minimal restrictions and a stronger Australian dollar have made grey imports a viable alternative for consumers in the market for marine equipment. Buyers have also benefited from competitive pricing, with the stronger Australian dollar helping to absorb an upswing in retailer purchase costs. Despite changing retail trade conditions, demand for both new and used marine equipment has enabled retailers to maintain product margins, leading to a small hike in profitability. Looking forwards, industry revenue is set to climb at an annualised 1.7% over the five years through 2029-30, to $2.8 billion. Economic recovery and stronger average weekly earnings will fuel an upswing in real household discretionary income, boosting the affordability of big-ticket items like marine equipment. Reduced working hours and more leisure time will also support continued interest in recreational boating. However, retailers will face ongoing challenges from grey imports, especially if the Australian dollar continues to appreciate. Mounting competition may, in turn, lead to market consolidation.

The global marine evacuation system market is experiencing steady growth, driven by stricter safety regulations and technological advancements. Discover key market trends, leading companies, and projected market size through 2033 in this comprehensive analysis. Learn about CAGR, market segmentation, and regional insights.

Discover the latest market analysis for marine and river navigation instruments in Australia, including projected growth trends and market volume predictions for the next decade.

Market Size statistics on the Marine Equipment Retailing industry in Australia

Western Australia has an extensive and unique marine environment. There are productive marine ecosystems that underpin valuable and diverse fisheries, which can be marketed on a clean and green image. These ecosystems and fisheries are at considerable risk through the introduction of marine pest species which can cause significant ecological and economic losses to fisheries, marine industry and human health problems. Numerous species have already been introduced into WA, including pest species. It is essential that a Statewide program be initiated to determine the extent of the problem and develop strategies that can minimise the possibilities of further introductions. The present project will do this by assembling existing information available in numerous diffuse sources, developing new information, and trialling new strategies for minimising the introduction of more pest species. The project will be integrated with existing programs on both a State and national level.

The statistic presents the value of gross premiums earned by marine, aviation and other transport insurance companies in Australia from 2009 to 2014 and a forecast thereof until 2025. The value of MAT insurance sector in Australia amounted to approximately ****** million U.S. dollars in 2014 and it was projected to grow to approximately ****** million U.S. dollars in 2025.

Statistics illustrates market overview of marine or river navigation instruments and appliances in Australia from 2007 to 2024.

Australia Marine and Dock Gangways Market is expected to grow during 2025-2031

USD 50.48 Million in 2024; projected USD 76.65 Million by 2033; CAGR 4.76%.

Expanding Australian market for motor boats set to see steady growth over the next decade, with market volume expected to reach 4K units and value projected to hit $227M by 2035.

Planning and management require expectations of future system behavior. These expectations can come in the form of predictions, projections, scenarios, narratives, visions and intuitions, at different spatial and temporal scales. While each can provide different insights into a system future, it is not clear how they can be effectively combined into a unified analysis. Here, we propose a general framework to combine conceptual models, numerical projections and scenario narratives, leading to a system view of the functioning of the future Blue Economy sectors as applied to Australian oceans. We start by developing a conceptual model of the sectors directly or indirectly interacting with the Australian oceans and their national and global drivers. We then identify scenarios and projections for each global driver as well as projections of future development for the national drivers and for the Blue Economy sectors. Comparisons of the global scenarios, national projections and sectoral projections suggest that the Australian marine sectors expect to follow a path of growth mostly driven by market forces enabled by government regulations. The analysis of each sector provides information on the extent to which the initial conceptual model can be improved as part of more detailed analysis at a sectoral level. This approach supports sector-based marine planning with a consistent and repeatable framing and can help researchers, managers and stakeholders reach a shared understanding of system interactions and the potential impact of future shocks to national and international drivers.

In 2016, the total number of Australians living in a household which owned a boat was around *** million (781851). The majority were dinghies, canoes or row boats; *** million reported living in a household that had a boat of this type. Elsewhere, **** million approximately said their household had a motorboat or speedboat, and around *** thousand had a yacht or another type of sailing boat.

The Australian boat building industry

In 2017, the boat building and repair industry in Australia recognized revenue of just over *** million U.S. dollars. This represents a slight increase from the previous two years, but a decrease from 2014, in which the industry recognized revenue of around *** million U.S. dollars. Forecasts suggest revenue will continue to gradually increase over the coming years, reaching around *** million U.S. dollars in 2023.

Personal wealth in Australia

A household with a boat is often seen as a symbol of personal wealth. This is not just due to the purchase price of any watercraft, but also as property near to a body of water often attracts an additional premium as part of the price. Personal wealth in Australia in 2018 was at a high level; there were around **** million adults with wealth exceeding one hundred thousand U.S. dollars, and seven percent recognized wealth in excess of one million U.S. dollars.

Discover the booming marine wiper motor market! Explore key trends, growth drivers, and leading companies shaping this $150 million (2025 est.) industry. Learn about market segmentation, regional analysis, and future forecasts to 2033. Invest wisely with our in-depth market analysis.

Snapshot img { margin: 10px !important; } Maritime AI Market Size 2025-2029

The maritime ai market size is forecast to increase by USD 19.0 billion, at a CAGR of 38.9% between 2024 and 2029.

The global maritime AI market is advancing significantly, driven by the imperative for operational efficiency and cost reduction in a capital-intensive industry. AI-powered platforms are enabling sophisticated ai-powered fleet-management software market functions like voyage optimization and fuel management, analyzing complex datasets to recommend optimal routes and speeds. This addresses the largest operational costs for vessels, directly impacting profitability. The adoption of autonomous ai is also a key factor, facilitating predictive maintenance by monitoring onboard machinery health, thus reducing unscheduled downtime and enhancing vessel reliability. The ai in transportation is transforming maritime operations, with a clear focus on enhancing safety and efficiency across the board.A transformative trend is the adoption of digital twin technology, creating virtual representations of vessels for holistic simulation and predictive optimization. These digital twins allow for testing scenarios and diagnosing issues without risk to physical assets, improving performance and aiding in crew training. This development in the naval vessels market supports enhanced ai orchestration and situational awareness. However, the market's progress is constrained by challenges in data quality, accessibility, and standardization. The fragmented nature of maritime data, originating from disparate and often non-interoperable systems, complicates the creation of usable datasets for training effective AI models and supporting maritime surveillance efforts.

What will be the Size of the Maritime AI Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe global maritime AI market is characterized by the continuous integration of advanced analytics and autonomous systems to refine operational workflows. Developments in predictive maintenance algorithms are transforming asset management, enabling a shift toward condition-based maintenance strategies. This is supported by innovations in sensor fusion technology and real-time machinery monitoring, which provide the high-fidelity data acquisition necessary for accurate diagnostics. The focus remains on enhancing fleet performance analytics and decarbonization analytics to meet both economic and regulatory demands within the ai in transportation sector. These ongoing activities reflect a deepening reliance on data-driven decision-making across the industry, particularly in optimizing vessel traffic management system.Simultaneously, progress in autonomous ai and computer vision navigation is redefining safety and situational awareness at sea. Advanced collision avoidance systems are becoming more sophisticated, leveraging lidar and radar integration to create comprehensive environmental models. The development of unmanned maritime systems, including unmanned surface vessels and autonomous underwater vehicles, is also proceeding, driven by the need for safer and more efficient operational models. These efforts are complemented by the establishment of remote operation centers and standards for shore-based vessel control, pointing toward a future with greater automation and intelligent asset management in the maritime information landscape.

How is this Maritime AI Industry segmented?

The maritime ai industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments. ComponentHardwareSoftwareServicesTechnologyMachine learningComputer visionRobotics and autonomous systemsData analyticsOthersApplicationNavigation and route optimizationPredictive maintenancePort operations and managementAutonomous shippingOthersGeographyNorth AmericaUSCanadaMexicoEuropeGermanyThe NetherlandsUKSpainItalyFranceAPACChinaJapanSouth KoreaIndiaAustraliaIndonesiaMiddle East and AfricaUAESouth AfricaTurkeySouth AmericaBrazilArgentinaColombiaRest of World (ROW)

By Component Insights

The hardware segment is estimated to witness significant growth during the forecast period.The hardware segment of the global maritime AI market provides the essential physical foundation for intelligent systems, encompassing a wide range of sensors, onboard computers, and networking equipment. This segment is driven by the need for robust, high-fidelity data acquisition and real-time, at-the-edge processing capabilities. Key developments include advanced sensor technologies such as high-resolution cameras, LiDAR, and thermal imaging systems, which are integral for situational awareness and object de

This record contains fisheries statistics, History of Marine Animal Populations, trawling, overfishing from the Australian fishing industry between 1937 and 1943. This record contains fisheries statistics, History of Marine Animal Populations, trawling, overfishing from the Australian fishing industry between 1937 and 1943.

The Marine chapter of the 2016 State of the Environment (SoE) report incorporates multiple expert templates developed from streams of marine data. This metadata record describes the Expert Assessment "Effectiveness of marine management of marine mining and industry". The full Expert Assessment, including figures and tables (where provided), is attached to this record. Where available, the Data Stream(s) used to generate this Expert Assessment are accessible through the "On-line Resources" section of this record.

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DESCRIPTION OF THE PRESSURE BEING MANAGED, AND ITS IMPACT
The potential for a wide variety of mineral resources exists within Australia’s maritime jurisdiction (see Table 1 in attached Expert Assessment). However marine mining and related industries remain an “emerging industry” and there is currently a low level of understanding of pressures and management strategies. Globally, the marine mining industry is more advanced and is supported by a growing body of research investigating the likely environmental impacts and mitigation strategies.

Currently there are no offshore mining activities in Australia other than the well-established shell sand mining operation in Cockburn Sound (Fremantle, WA) and sand mining in Moreton Bay (Queensland). Both operations were granted extraction licences by state departments subject to strict environmental controls particularly relating to seagrass meadow replanting (Cockburn Sound) and sediment plumes (Moreton Bay). Other submissions to state and federal governments to explore and potentially exploit seafloor resources elsewhere in Australia, have been rejected or stalled due to the lack of existing base line knowledge, lack of community support, and poor understanding of the potential social and environmental impacts of such activities.

DATA STREAM(S) USED IN EXPERT ASSESSMENT
Published papers and reports (assessment has been conducted by literature review).

2016 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]
• Understanding of pressure: Marine mining occurs on a local scale. Likely environmental impacts unclear with only ad hoc baseline information.
• Planning associated with management of pressure: Resource assessment and planning is ad hoc and conducted on local scales, driven by commercial constraints and community pressures.
• Input for informing management of pressure: Limited data available. International studies and established marine mining codes of conduct can inform understanding and planning.
• Processes associated with developing, monitoring, and updating management: Federal and state regulatory framework largely untested except where the marine mining is established. State-level decisions limited to temporary moratoria.
• Outputs from management framework in place: Established operations have management programs; proposed operations have only desktop analysis. Limited research outputs exist (bathymetric mapping, benthic surveys etc.).
• Outcomes of management framework in place: Established operations mitigate for local impacts, though not cumulative impacts.

CHANGES SINCE 2011 SOE ASSESSMENT
Marine mining is limited in Australian waters with little change since 2011.

Discover the booming marine access systems market! This comprehensive analysis reveals a $1.5 billion market in 2025, projected to grow at a 6% CAGR until 2033. Explore market segments, key players, and regional trends shaping this dynamic industry.

This dataset is an extract and collation of 4 months of data from the Craft Tracking System run by the Australian Maritime Safety Authority (AMSA). This dataset shows the location of cargo ships, fishing vessels, passenger ships, pilot vessels, sailing boats, tankers and other vessel types at 1 hour intervals.

The Craft Tracking System (CTS) and Mariweb are AMSA’s vessel traffic databases. They collect vessel traffic data from a variety of sources, including terrestrial and satellite shipborne Automatic Identification System (AIS) data sources.

This dataset has been built from AIS data extracted from CTS, and it contains vessel traffic data for January - April 2023. The dataset covers the extents of Australia’s Search and Rescue Region.

Each point within the dataset represents a vessel position report and is spatially and temporally defined by geographic coordinates and a Universal Time Coordinate (UTC) timestamp respectively.

This dataset is a derivative of the monthly Craft Tracking System data available from https://www.operations.amsa.gov.au/Spatial/DataServices/DigitalData. As such this record is not authoritative about the source data. If you have any queries about the Craft Tracking System data please contact AMSA.

Description of the data:

This data shows a high volume of cargo ships and tankers traveling between international destinations and the ports of Australia, as well as significant cargo traffic between domestic ports. These vessels tend to travel in straight lines along designated shipping lanes, or along paths that maximize their efficiency on route to their destination.

Fishing activities are prominent in international waters, particularly in the Indian Ocean, Coral Sea, and Arafura Seas. The tracking of fishing vessels drops dramatically at the boundary of the Australian Exclusive Economic Zone (EEZ). Most domestic fishing activities appear to be closer to the Australian coast, often concentrating on the edge of the continental shelf. However, the data does not specifically indicate whether the vessels are domestic or international.

Western Australia exhibits a great deal of vessel activity associated with the oil and gas industry. Each of these platforms is serviced by tugboats and tankers. At large ports, dozens of cargo ships wait in grid patterns to transit into the port.

Shipping traffic in most of the Gulf of Carpentaria is relatively sparse, as the majority of cargo vessels travel from Torres Strait west into the Arafura Sea, bypassing the gulf. However, there is a noticeable concentration of fishing activity along the coast around Karumba and the Wellesley Islands, presumably associated with the prawning industry.

Along the Queensland coastline, vessel traffic is dominated by cargo ships, which travel in designated shipping areas between the Great Barrier Reef and the mainland. There are three passages through the reef off Hay Point (Hydrographers Passage), north of Townsville (Palm Passage), and off Cairns (Grafton Passage).

The Great Barrier Reef (GBR) region is frequented by pleasure crafts, sailing vessels, and passenger ships. Pleasure crafts mainly seem to visit the islands and outer reefs, while sailing vessels tend to stay within the GBR lagoon, traversing its length. Passenger ships ferry people to popular reef destinations such as reefs off the Whitsundays, Cairns, and Port Douglas, as well as Heron Island and Lady Musgrave Island. Many large passenger ships, presumably cruise vessels, travel between major ports and international destinations. These ships tend to travel 20 km further offshore than the majority of sailing boats.

eAtlas Processing:

The following is the processing that was applied to create this derivative dataset. This processing was functionally just a collation of 4 months of data, and a file format change (to GeoPackage) and a trimming of the length of the text attributes (which should not affect their values). Four months of data was used as this was the maximum practical limit of the rendering performance of QGIS and GeoServer.

1. The monthly CTS data was downloaded from https://www.operations.amsa.gov.au/Spatial/DataServices/DigitalData and unzipped.
This data was then loaded into QGIS.
2. The Vector / Data Management Tools / Merge Vector Layers... tool was used to combine the 4 months of data:
Input layers: cts_srr_04_2023_pt, cts_srr_03_2023_pt, cts_srr_02_2023_pt, cts_srr_01_2023_pt
Save to GeoPackage: AU_AMSA_Craft-tracking-system_Jan-Apr-2023
Layername: AU_AMSA_Craft-tracking-system_Jan-Apr-2023

3. To reduce the size of the dataset the text attributes were trimmed to the length needed to store the attribute data.
Processing Toolbox > Vector table > Refactor fields
Input layer: AU_AMSA_Craft-tracking-sytem_Jan-Apr-2023
Remove attributes: layer, path (these were created by the Merge Vector Layers tool)
Change:
Source Expression, Original Length, New Length
TYPE, 254, 80
SUBTYPE, 254, 20
TIMESTAMP, 50, 25
Refactored: AU_AMSA_Craft-tracking-system_Jan-Apr-2023_Trim.gpkg
Layer name: au_amsa_craft_tracking_system_jan_apr_2023

Data dictionary:

- CRAFT_ID: Double Unique identifier for each vessel
- LON: Double Longitude in decimal degrees
- LAT: Double Latitude in decimal degrees
- COURSE: Double Course over ground in decimal degrees
- SPEED: Double Speed over ground in knots
- TYPE: Text Vessel type
NULL
'Cargo ship - All'
'Cargo ship - Carrying DG, HS, or MP, IMO Hazard or pollutant category A'
'Cargo ship - Carrying DG, HS, or MP, IMO Hazard or pollutant category B'
'Cargo ship - Carrying DG, HS, or MP, IMO Hazard or pollutant category C'
'Cargo ship - Carrying DG, HS, or MP, IMO Hazard or pollutant category D'
'Cargo ship - No additional info'
'Cargo ship - Reserved 5'
'Cargo ship - Reserved 6'
'Cargo ship - Reserved 7'
'Cargo ship - Reserved 8'
'Engaged in diving operations'
'Engaged in dredging or underwater operations'
'Engaged in military operations'
'Fishing'
'HSC - All'
'HSC - No additional info'
'HSC - Reserved 7'
'Law enforcement'
'Local 56'
'Local 57'
'Medical transport'
'Other - All'
'Other - Carrying DG, HS, or MP, IMO Hazard or pollutant category A'
'Other - Carrying DG, HS, or MP, IMO Hazard or pollutant category B'
'Other - Carrying DG, HS, or MP, IMO Hazard or pollutant category C'
'Other - No additional info'
'Other - Reserved 5'
'Other - Reserved 6'
'Other - Reserved 7'
'Other - Reserved 8'
'Passenger ship - All'
'Passenger ship - Carrying DG, HS, or MP, IMO Hazard or pollutant category A'
'Passenger ship - Carrying DG, HS, or MP, IMO Hazard or pollutant category B'
'Passenger ship - Carrying DG, HS, or MP, IMO Hazard or pollutant category C'
'Passenger ship - Carrying DG, HS, or MP, IMO Hazard or pollutant category D'
'Passenger ship - No additional info'
'Passenger ship - Reserved 5'
'Passenger ship - Reserved 6'
'Passenger ship - Reserved 7'
'Pilot vessel'
'Pleasure craft'
'Port tender'
'Reserved'
'Reserved - All'
'Reserved - Carrying DG, HS, or MP, IMO Hazard or pollutant category B'
'Reserved - Carrying DG, HS, or MP, IMO Hazard or pollutant category C'
'Reserved - Reserved 6'
'Reserved - Reserved 7'
'Sailing'
'SAR'
'Ship according to RR Resolution No. 18 (Mob-83)'
'Tanker - All'
'Tanker - Carrying DG, HS, or MP, IMO Hazard or pollutant category A'
'Tanker - Carrying DG, HS, or MP, IMO Hazard or pollutant category B'
'Tanker - Carrying DG, HS, or MP, IMO Hazard or pollutant category C'
'Tanker - Carrying DG, HS, or MP, IMO Hazard or pollutant category D'
'Tanker - No additional info'
'Tanker - Reserved 5'
'Tanker - Reserved 6'
'Tanker - Reserved 7'
'Tanker - Reserved 8'
'Towing'
'Towing Long/Large'
'Tug'
'unknown code 0'
'unknown code 1'
'unknown code 100'
'unknown code 104'
'unknown code 106'
'unknown code 111'
'unknown code 117'
'unknown code 123'
'unknown code 125'
'unknown code 140'
'unknown code 150'
'unknown code 158'
'unknown code 2'
'unknown code 200'
'unknown code 207'
'unknown code 209'
'unknown code 223''unknown code 230'
'unknown code 253'
'unknown code 255'
'unknown code 4'
'unknown code 5'
'unknown code 6''unknown code 9'
'Vessel with anti-pollution facilities or equipment'
'WIG - All'
'WIG - Carrying DG, HS, or MP, IMO Hazard or pollutant category A'
'WIG - Carrying DG, HS, or MP, IMO Hazard or pollutant category B'
'WIG - Carrying DG, HS, or MP, IMO Hazard or pollutant category C'
'WIG - No additional info'
'WIG - Reserved 6'
'WIG - Reserved 7'
- SUBTYPE: Text Vessel sub-type
NULL
'Fishing Vessel'
'Powerboat'
- LENGTH: Short integer Vessel length in metres
- BEAM: Short integer Vessel beam in metres
- DRAUGHT: Double Draught of the vessel, in metres.
- TIMESTAMP: Text Vessel position report UTC timestamp in dd/mm/yyyy hh:mm:ss
AM/PM format

eAtlas notes:
Fishing vessels are encoded as, TYPE: Fishing or TYPE: NULL, SUBTYPE: Fishing Vessel or TYPE: unknown code X. A lot of the vessels with and unknown code appeared to be predominately fishing vessels based on their behaviour.

Location of the data:
This dataset is filed in the eAtlas enduring data repository at: data<br/>on-custodian\ongoing\AU_AMSA_Craft-tracking-system

In Australia AI in Maritime Logistics Market, offering valuable insights, key market trends, competitive landscape, and future outlook to support strategic decision.