Collision Avoidance & Object Detection Maritime Market Size 2028

The collision avoidance and object detection maritime market is projected to reach US$ 450.61 million in 2022; it is expected to grow at a CAGR of 8.2% during 2022-2028.

The rising number of ships, cruises, and yachts is boosting the growth of the collision avoidance and object detection maritime market. Autonomous navigation technologies, including path planning, guidance and control, obstacle detection, and mapping, play an essential role in the safety of unmanned surface vehicles (USVs). The automatic detection of surrounding objects and estimation of their motion are key aspects in the marine industry, and since such systems operate in harsh environmental conditions, reliable and robust performance is necessitated. Information on surrounding vessels can be obtained using navigational aid systems enabled with the LiDAR and SONAR technologies, among others. The International Regulations for Preventing Collisions at Sea (COLREGs) adopted by the International Maritime Organization (IMO) control the design and operation of collision avoidance systems. The use of cameras and LiDAR sensors for the target motion analysis of close‐range obstacles in marine environments is growing rapidly with advancements in optical sensor technology. Further, developments in AI and deep learning are expected to offer lucrative growth opportunities for the collision avoidance and object detection maritime market size during the forecast period.

A rise in the demand for expedition cruises for exhilarating adventures, and cultural and wildlife-spotting outings in watersport activities is a key trend bolstering the demand for safety features in water vehicles, which is triggering the collision avoidance and object detection maritime market size. The increase in disposable income and rising trend for adopting luxurious lifestyle are the key factors promoting the demand for expedition cruises.

Strategic Insights

Impact of COVID-19 Pandemic on Collision Avoidance and Object Detection Maritime Market Growth

In 2020, many electronics and semiconductor manufacturers in the US operated with a limited workforce or temporarily stopped their production due to strict government regulations. This adversely affected the supply chain and the import & export of semiconductor chips and electronic products. Supply chains of collision avoidance and object detection solutions include equipment such as LiDAR systems, cameras, imaging systems, and radar systems. Containers on the west coast of North America were stuck on ships in 2020. Although the containers were finally delivered and emptied later in that year, their return to China was hindered by a slowdown in marine transport across the intermodal network. Owing to such disruptions, semiconductor manufacturers were unable to meet their delivery timelines, which also led to the decreased production of collision avoidance and object detection solutions.

Lucrative Regions for Collision Avoidance and Object Detection Maritime Market

Get more information on this report : Request Free Sample PDF

Market Insights – Collision Avoidance and Object Detection Maritime Market

The autonomous systems use sensor data for object detection, obstacle avoidance, mapping, localization, and other tasks. Autonomous navigation systems are also used for sensor fusion and testing for high-performance applications using multi-sensor systems, including global navigation satellite system, inertial sensors, odometers, magnetometers, radars, LiDAR, cameras, barometers, maps, infrared, and ultrasound sensors. Also, the rise in adoption of autonomous ship navigation for commercialization purpose is further bolstering the collision avoidance and object detection maritime market growth. With the advancement of optical sensor technology, the use of cameras and lidar sensors for target motion analysis of close‐range obstacles in marine environments is growing rapidly. Furthermore, the increasing integration of AI and deep learning is expected to offer lucrative growth opportunities for the collision avoidance and object detection maritime market over the forecast period.

End User-Based Insights

On the basis of end user, the collision avoidance and object detection maritime market is categorized unmanned surface vehicles, ships, autonomous underwater vehicles, and others. The ships segment accounted for the largest share of the market in 2021. This segment includes all those types of vessels that are not USVs or AUVs. The autonomous underwater vehicles segment is expected to register the fastest CAGR during the forecast period. Unmanned surface vehicles are used for a wide range of military and commercial applications. The Automatic Identification System (AIS), an object detection system network, makes it possible to collect a large volume of maritime traffic data and evaluate the collision avoidance ability of real-world ships.

The collision avoidance and object detection maritime market is analyzed on the basis of technology, application and end user. Based on technology, the market is segmented into LiDAR, computer vision, radar, and others. Based on application, the market is segmented into blind spot detection, night vision, and others. Based on end user, the market is segmented into unmanned surface vehicles, ships, and autonomous underwater vehicles.

Benewake (Beijing) Co., Ltd.; Furono Electric Co., Ltd.; Garmin Ltd.; Orlaco Products BV; Raytheon Anschutz GmbH; Robopec SAS; Sea Machines Robotics, Inc.; Teledyne FLIR LLC; Terma A/S; and Velodyne Lidar, Inc. are key collision avoidance and object detection maritime market players.

Collision avoidance and object detection maritime market players are utilizing several strategies to focus on growth.

• In September 2022, Benewake launched the LIDAR device named TF-LC02. It is offered for the cost of US$ 9.9 and is ideal for various applications due to small size, high performance and accuracy, and low error. The TF-LCO2 is a LiDAR distance module with a built-in time-to-digital converter (TDC) circuit and a high-precision ToF sensor. It can be used to make various electronic devices, including floor sweepers, robots, unmanned aerial vehicles, and smart home products.
• In December 2020, NYK Group companies MTI Co., Ltd. and Japan Marine Science Inc. (JMS) conducted the demonstration of collision avoidance navigation using artificial intelligence (AI) in Osaka Bay as part of a research program to develop navigation support for domestic vessels by using AI as a core technology.