Autonomous Cars Market Definition

Ship Building Market Definition

Ship Repairing Market Definition

Commercial Vehicle Market Definition

An autonomous ship means navigating a ship without human input from passengers using sensing equipment (LIDAR), environmental sensitive control equipment, and navigation equipment. The autonomy in the autonomous ship market is fully autonomous, remote operations, and partial autonomous. Partial autonomous ships refer to the ships that are safer than the others and are operated by artificial intelligence, which helps to avoid droning of the ship. The propulsion types involved are fully electric or hybrid. The various fuel types involved are carbon-neutral fuels, LNG, electricity, and heavy fuel oil/marine engine fuel. The end-users involved are commercial and defense. The autonomous ships market research report is one of a series of new reports from The Business Research Company that provides autonomous ship market statistics, including global market size, regional shares, competitors with an autonomous ship market share, detailed autonomous ship market segments, market trends and opportunities, and any further data you may need to thrive in the autonomous ship industry. This autonomous ship market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry. The global autonomous ships market size will grow from $6.88 billion in 2022 to $7.34 billion in 2023 at a compound annual growth rate (CAGR) of 6.6%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global autonomous ships market size is expected to grow to $9.47 billion in 2027 at a CAGR of 6.6%. Increasing marine accidents caused by human errors lead to high financial losses, which are predicted to act as a major driver for the growth of the autonomous ship market. Unmanned ships or autonomous technology apprehend accidents attributed to human errors and contribute to the higher potential of reducing onboard accidents. According to a 2021 report published by the Insurance Information Institute, a US industry association which exists to improve public understanding of insurance, in 2020, 49 large ships were completely lost, which is essentially unchanged from 48 in 2019. Therefore, the use of autonomous ships to reduce the increasing number of accidents due to human error and financial losses is expected to drive the demand for autonomous ships over the next few years. The increasing threat of cybersecurity and privacy is expected to limit the growth of the autonomous ship market during the forecast period. The advancements in technology and adoption of artificial intelligence (AI), mobility systems, and the internet of things (IoT) are creating higher chances of cybersecurity and data threats, which is a major challenge for the autonomous ship industry. According to the Association for Computing Machinery (ACM)’s journal on cybersecurity of the autonomous ship, cybersecurity is a serious issue for autonomous ships, regardless of the form and level of autonomy of the ship, owing to their increased dependence on ICT for controlling the ship, accessibility of systems to the internet, and increased connectivity of the ship’s control system to onshore monitoring systems. Thus, the rising threat of cybersecurity and privacy is predicted to act as a major factor restraining the autonomous ship market over the forthcoming years. Major companies are undertaking various strategic initiatives like the development of fully autonomous ships, which is likely to be a major trend driving the growth of the autonomous ship industry. For instance, according to Offshore Energy news published in September 2021, UK engineering company Rolls-Royce and Sea Machines Robotics, the USA-based startup developing autonomous ship solutions, have started a new collaboration that will deliver comprehensive remote command, autonomous control, and intelligent crew support systems to the marine market. In November 2021, Ocean Power Technologies (OPT), a US-based company that provides critical ocean intelligence services, acquired Marine Advanced Robotics, Inc. (MAR) for an undisclosed amount. This acquisition gives OPT access to a proven, cutting-edge offshore product line that has roaming capabilities and greatly enhances the OPT business plan. Marine Advanced Robotics, Inc. (MAR) is a US-based developer and manufacturer of autonomous surface vehicles (ASVs). Major players in the autonomous ships market are General Electric, DNV GL, Rolls-Royce Holding PLC., Kongsberg Gruppen AS, NYK Line, Mitsui E&S Holdings Co Ltd., Wärtsilä Corporation, DSME Co. Ltd., Vigor Industrial LL, and Praxis Automation Technology B.V. Asia-Pacific was the largest region in the autonomous ships market in 2022. Western Europe was the second largest region in the global autonomous ships market. The regions covered in the global autonomous ships market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the autonomous ships market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, USA. The autonomous ship market consists of sales of autonomous container ships, maritime autonomous surface ships (MASS), and crewless vessels. 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. The global autonomous ships market is segmented - 1) By Autonomy: Fully Autonomous, Remote Operations, Partial Autonomous 2) By End-User: Commercial, Defense 3) By Propulsion Type: Fully Electric, Hybrid 4) By Fuel Type: Carbon Neutral Fuels, LNG, Electric, and Heavy Fuel Oil/Marine Engine Fuel

Autonomous train are trains that have an automatic train protection (ATP) system enabled, which helps the train automatically stop at signals with speed control. The main train types in the autonomous train market are suburban trains, trams, monorails, subways, and long-distance trains. A tram is an electric vehicle that transports people, mainly in cities, along metal tracks. The technologies involved are automatic train control (ATC), communication-based train control (CBC), the European Railway Traffic Management System (TERMS), and positive train control (PTC). The grades of automation involved are GOA1, GOA2, GOA3, and GOA4. The applications involved are passenger trains, freight, and mining. The autonomous train market research report is one of a series of new reports from The Business Research Company that provides autonomous train market statistics, including global market size, regional shares, competitors with an autonomous train market share, detailed autonomous train market segments, market trends and opportunities, and any further data you may need to thrive in the autonomous train industry. This autonomous train 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. The global autonomous trains market size will grow from $9.08 billion in 2022 to $9.79 billion in 2023 at a compound annual growth rate (CAGR) of 7.7%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global autonomous trains market size is expected to grow to $13.00 billion in 2027 at a CAGR of 7.4%. The increased need for a safe, efficient, cheap, fast, and reliable mode of transportation is contributing to the growth of the global autonomous train market. Rail is the safest mode of land transport and the most attractive to the customer. It is also one of the fastest modes of transport, which moves on high-speed lines that are expected to average up to 300 km/hour. The distance of 1000 km can easily be reached within 5 to 7 hours. It offers much greater flexibility of time, allowing train frequencies to be better matched to demand at peak and off-peak times. This offers a much better service to potential passengers and drives an increase in passenger numbers. When it comes to fares, intra-modal competition among railway operators and competition among railway suppliers will keep fares affordable even in countries with low per capita income. Increased safety and cheaper fares compared to other transport options drove the autonomous train market. High deployment and operational costs, along with increased security concerns, are expected to limit the growth of the autonomous train market. The capital costs of signalling and control equipment are likely to be associated with maintenance costs, operational costs, and large capital investments. On the other hand, the transfer of data between a train's safety-critical systems, in particular, is a potential target for hackers. ATO (Automatic Train Operation), with its interconnectivity with other systems, has an increased threat, making it potentially vulnerable to cyber-attack. As it transfers high resolution, real-time train determination information between the wayside, the train, and the control center, it is essential to ensure this vital data remains secure. LiDAR and artificial intelligence are increasingly being used in autonomous trains to improve the performance of the trains. The LIDAR (Light Detection and Ranging) system measures the speed of moving trains and captures irregularities in the track, evaluating the rail track quality. It uses two pairs of lenses to capture speed signals from both rails individually. The track speed, curvature, and lateral and vertical geometry variations on each side are determined. Artificial Intelligence (AI) is expected to improve the performance of automated metro lines by enabling predictive maintenance, which helps to reduce incidents and assist operators to recover from incidents more quickly. Controlling the control centre with visual and voice interactions during an incident is a time-consuming process. AI also helps to reduce these interactions and allows traffic controllers to focus on the core problem. In February 2020, Alstom, a France-based manufacturing company, acquired Bombardier Inc. for $7.02 billion to $7.50 billion. The acquisition of Bombardier Transportation is a one-time opportunity coming at the right moment for Alstom. It has significantly strengthened its operational and financial profile over the past 4 years to accelerate its strategic roadmap and add to Alstom's complementary commercial and industrial platforms. Bombardier Inc. is a Canada-based train transport company. Major players in the autonomous trains market are Alstom S.A., ABB, Bombardier Transportation, CRRC Transportation, Hitachi Ltd., Kawasaki Heavy Industries, Mitsubishi Heavy Industries, Siemens AG, Thales Group, and Ansaldo. Western Europe was the largest region in the autonomous trains market in 2022. Asia-Pacific was the second largest region in the global autonomous trains market. The regions covered in the global autonomous trains market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the autonomous trains market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, USA. The autonomous trains market consists of sales of light trains, rapid transit trains, commuter trains, intercity trains, and high speed trains. 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. The global autonomous trains market is segmented - 1) By Train Type: Suburban Trains, Tram, Monorail, Subway/Metro, Long Distance Trains 2) By Technology: Automatic Train Control (ATC), Communication-Based Train Control (CBTC), European Railway Traffic Management System (ERTMS), Positive Train Control (PTC) 3) By Grade of Automation: GOA1, GOA2, GOA3, GOA4 4) By Application: Passenger Train, Freight, Mining

Driver monitoring system is a safety device that employs technology to determine whether the person operating the vehicle is alert and focused. This technology makes driving safer for everyone on the road by decreasing driver distraction and boosting focus on the road. The main types of driver monitoring systems are driver alertness/distraction monitoring, driver fatigue monitoring, drunk driving monitoring, and identity recognition. The driver fatigue monitoring system is intended not only to accurately predict and identify situations in which drowsiness and fatigue occur in a driver, but also to alert those drivers so that they can pull over to the side of the road and take other necessary steps to ensure their general safety as well as the safety of other drivers. The vehicle types involved are passenger vehicles and commercial vehicles. The components involved are interior cameras, sensors, and other components. The driver monitoring system market research report is one of a series of new reports from The Business Research Company that provides driver monitoring system market statistics, including global market size, regional shares, competitors with a driver monitoring system market share, detailed driver monitoring system market segments, market trends and opportunities, and any further data you may need to thrive in the driver monitoring system industry. This driver monitoring system 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. The global driver monitoring systems market size will grow from $1.44 billion in 2022 to $1.59 billion in 2023 at a compound annual growth rate (CAGR) of 10.2%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global driver monitoring systems market size is expected to grow to $2.34 billion in 2027 at a CAGR of 10.2%. An increase in road-safety awareness due to the rise in several on-road accidents caused by the driver due to fatigue and distraction is the major driver for the driver monitoring systems (DMS) market. According to a publication by the World Health Organization (WHO) in 2020, approximately 1.35 million people lose their lives each year due to road traffic injuries. The average rate of deaths per 100,000 population is 27.5, and the risk of road traffic deaths is more than three times higher in low-income countries than in high-income countries, which have an average rate of 8.3 deaths per 100,000 population. The DMS is gaining more importance due to the growing need for understanding and adjusting to the driving conditions and the reduction in the number of accidents. The rise in road accidents due to fatigue, distraction, and lack of alertness in the driver, coupled with drinking and driving, helps the DMS market witness notable growth. The high cost of certain systems, such as adaptive cruise control (ACC), night vision, lane departure warning system (LDWS), blind-spot detection (BSD), and limiting its adoption only among luxury cars hamper the growth of the driver monitoring systems market. The cost of commercial systems is very high, ranging between $5000 and $40,000 for building eye-tracking systems. The high cost of these systems ultimately increases the overall cost of cars and reduces the interest of car owners in adopting such systems. Additionally, complex installation procedures for driver monitoring systems are also a major factor that is expected to restrain the growth of the global driver monitoring system market over the forecast period. The global driver monitoring system market is experiencing several technological advancements that are expected to boost the market in the forecast period. A rising trend is that prominent OEMs (Original Equipment Manufacturers) and MROs (Maintenance Repair and Overhaul) are developing advanced detection technologies for drivers of vehicles. For instance, Panasonic Corporation has developed a drowsiness-control technology to detect and predict the level of drowsiness of a person, enabling him/her to remain comfortably awake while driving. Similarly, Mercedes-Benz has developed an innovative attention-assistance device that can detect when drivers start to get drowsy and prompt them to stop before it's too late. Attention Assist monitors the actions of the driver and creates an individual driver profile at the start of each trip, which is then continuously compared with current sensor data. In September 2022, HARMAN International, a US-based wholly-owned subsidiary of Samsung Electronics Co., Ltd. focused on connected technologies for aut omotive, consumer and enterprise markets, acquired CAARESYS for an undisclosed amount. Through this acquisition, HARMAN acquires in-cabin radar sensor technology from CAARESYS, along with characteristics that enable radar, which can swiftly incorporate into its products. CAARESYS is an Israel-based developer of vehicle passenger monitoring technology. Major players in the driver monitoring system market include Delphi Automotive PLC., Visteon Corporation, Valeo SA, Continental AG, Robert Bosch GmbH, Seeing Machines, Faurecia, Denso Corporation, Magna International, and Aisin Seiki Corporation Limited. Asia-Pacific was the largest region in the driver monitoring system market in 2022. North America was the second largest region in the global driver monitoring system market. The regions covered in the global driver monitoring system market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the driver monitoring system market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, USA. The driver monitoring system market consists of sales of camera, detectors, and sensors. 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. The global driver monitoring systems market is segmented - 1) By Monitoring Type: Driver Alertness/Distraction Monitoring, Driver Fatigue Monitoring, Drunk Driving Monitoring, Identity Recognition 2)By Vehicle Type: Passenger Vehicles, Commercial Vehicles 3) By Component: Interior Camera, Sensors, Other Components

Connected cars are cars empowered with internet access and a local area network that helps to communicate with other vehicles. These cars have a wide range of sensors that transmit and receive signals from the manufacturers in conjunction with the services to enhance the consumer experience with the real-time interaction of the vehicles. These cars can be connected with smartphones or other mobile phones and allow the driver to mechanically monitor the performance of the car. The main types in the connected car market are embedded, tethered, integrated, and other types. Embedded means fixed into the surface of something. The services involved are driver assistance, safety, entertainment, well-being, vehicle management, mobility management, and other services. The applications involved are applications, navigation, infotainment, and telematics. The connected cars market research report is one of a series of new reports from The Business Research Company that provides connected car market statistics, including global market size, regional shares, competitors with a connected car market share, detailed connected car market segments, market trends and opportunities, and any further data you may need to thrive in the connected car industry. This connected cars market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry. The global connected cars market size will grow from $69.20 billion in 2022 to $80.04 billion in 2023 at a compound annual growth rate (CAGR) of 15.7%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global connected cars market size is expected to grow to $143.27 billion in 2027 at a CAGR of 15.7%. An increase in efforts by governments to develop intelligent transportation systems will drive the connected car market. During the period, government efforts for the development of connected and autonomous cars contributed to the connected car market’s growth. For instance, in the UK, government efforts were significant for the development of connected cars. The government in the UK has invested £40 million (US$50 million) schemes for kick-starting commercial autonomous vehicle (AV) services, such as delivery vehicles and passenger shuttles. Additionally, there have been numerous trials and they have introduced new legislation to promote the deployment of connected cars. By 2030, the UK is expected to benefit from a projected £62 billion ($74.36 billion) in economic benefits from deploying connected and autonomous vehicles. The hacking of data is expected to limit the growth of the connected car market. For hacking a car's network, proximity is not necessary, as malware may spread by hacking into a manufacturer's or dealer's web portal. The key security issue is that a hacker has access to the operating system of the vehicle and to the data it gathers and stores. For instance, in 2021, A ransomware attack reportedly hit Kia Motors America by DoppelPaymer gang, which resulted in operational disruption including disruption in-vehicle OEM infotainment. Moreover, in 2021, there was an cyberattack on vehicle emissions testing platform of Applus Technologies, which prevented vehicle inspection in 8 US states for two weeks. These factors negatively impact the connected car market, affecting the market’s growth. Connected car companies are increasingly developing new technologies such as digital and autonomous technologies to increase their revenue and also to gain a competitive edge over their rivals. For instance, in 2022, NVIDIA Corporation, an American technology company launched an autonomous vehicles map software, " DRIVE Map". It is a multi-modal mapping engine designed to accelerate the deployment of autonomous Level-3 and Level-4 vehicles that can operate without human intervention. After acquiring HD mapping startup, DeepMap last year, Nvidia accelerated the development of DRIVE Map. These startup's mapping technologies were incorporated into DRIVE Map. The DRIVE Map by Nvidia combines the accuracy of DeepMap survey mapping with the scale of AI-based crowdsourcing. In March 2021, Cruise, a US-based self-driving car company, acquired Voyage for an undisclosed amount. This acquisition is to tackle dense urban environments. Voyage is a US-based self-driving car company. Major players in the connected cars market are Robert Bosch GmbH, Ford Motor Company, BMW, Audi AG, General Motors, Delphi, AT&T Inc., Airbiquity, Visteon, and Mercedes-Benz. Asia-Pacific was the largest region in the connected cars market in 2022. Western Europe was the second largest region in the global connected cars market. The regions covered in the global connected cars market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the connected cars market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, USA. The connected cars market consists of sales of connected cars such as Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Vehicle to Cloud (V2C), Vehicle to Pedestrians (V2P), and Vehicle to Everything (V2X). 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. The global connected cars market is segmented - 1) By Product Type: Embedded, Tethered, Integrated, Other Product Types 2) By Services: Driver Assistance, Safety, Entertainment, Well-Being, Vehicle Management, Mobility Management, Other Services 3) By Application: Navigation, Infotainment, Telematics