Global Autonomous Cars Market

The autonomous commercial vehicle market consists of sales of autonomous commercial vehicles and their related services. Autonomous commercial vehicles are also known as self-driving or robot vehicles. The autonomous vehicle uses various technologies and software such as artificial intelligence, RADAR sensors, light detection and ranging (LiDAR), and others to navigate, control, and drive the vehicle. The main types of vehicles in autonomous commercial vehicles are trucks, trailers, buses, and others. The truck is a wheeled vehicle for moving heavy articles. The automation levels involved are driver assistance, partial automation, conditional automation, high automation, and full automation. The fuel types involved are conventional, hybrid vehicles, and electric vehicles. The autonomous commercial vehicle market research report is one of a series of new reports from The Business Research Company that provides autonomous commercial vehicle market statistics, including global market size, regional shares, competitors with an autonomous commercial vehicle market share, detailed autonomous commercial vehicle market segments, market trends and opportunities, and any further data you may need to thrive in the autonomous commercial vehicle industry. This autonomous commercial vehicle 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 commercial vehicle market is expected to grow from $5.17 billion in 2021 to $6.41 billion in 2022 at a compound annual growth rate (CAGR) of 23.9%. 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, affecting many markets across the globe. The autonomous commercial vehicle market is expected to grow to $13.71 billion in 2026 at a CAGR of 20.9%. The increase in government approvals for testing autonomous trucks on public roads is driving the growth of the autonomous commercial vehicle market. The governments of major countries are allowing the testing of autonomous vehicles to promote the use of commercial vehicles for delivery and other purposes. The California Department of Motor Vehicles (DMV) in April 2019 proposed a regulation that would allow companies to deploy or test light-duty autonomous motor trucks or delivery vehicles on the public roads of the state. Under the regulation, companies can test delivery vehicles that weigh less than 10,001 pounds with an approved permit from the DMV. The government's approval for testing autonomous vehicles on roads encourages customers to have a glimpse of such vehicles, creating a potential opportunity for sale shortly, thereby driving the demand for autonomous commercial vehicles over the forthcoming years. Increasing concerns for cybersecurity and data privacy acts as a major challenge for the autonomous commercial vehicles market. According to a report on issues in autonomous vehicle testing and deployment published by the Congressional Research Service, the USA's policy institute in February 2020, with advances in technology, the concerns for data security and protection of the on-board system against intrusion are increasing. The inbuilt automated components in the vehicle generate a large amount of data about the vehicle, vehicle performance, driver behavior, and precise location. The protection of autonomous vehicles from hackers is of paramount concern to state and federal governments, service providers, manufacturers, and users. Therefore, with advancements in technology, the concerns for data privacy and security are increasing, which, in turn, is likely to act as a major restraint for the growth of the autonomous commercial vehicle market. The major players in the autonomous commercial vehicle market are acquiring technology and robotics companies to develop advanced technologies. For instance, in March 2019, Daimler AG, a Germany-based multinational automotive corporation, agreed to purchase a majority stake in Torc Robotics, a pioneer in autonomous driving, for an undisclosed amount. This acquisition is expected to help Daimler AG develop and create a technology powerhouse for autonomous vehicles. Torc Robotics was founded in 2005 and is an autonomous commercial vehicle solution provider based in Virginia, USA. Similarly, TuSimple announced a partnership with ZF to co-develop cameras, LiDAR, radar, steering, and an automotive-grade central computer with ZF ProAI and incorporate them to develop autonomous technologies. Major players in the autonomous commercial vehicle market are Volkswagen, Daimler, Tesla, Denso, Continental, Waymo, BMW AG, Isuzu Motors Limited, General Motors, and AB Volvo. Asia Pacific was the largest region in the autonomous commercial vehicle market in 2021. North America was the second largest region in the autonomous commercial vehicle market. The regions covered in the autonomous commercial vehicle market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the autonomous commercial vehicle market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, USA. The global autonomous commercial vehicle market is segmented - 1) By Vehicle: Truck, Trailer, Bus, Other Vehicle Types 2) By Automation Level: Driver Assistance, Partial Automation, Conditional Automation, High Automation, Full Automation 3) By Fuel Type: Conventional, Hybrid Vehicle, Electric Vehicle

Autonomous Agriculture, Construction, And Mining Machinery Market Definition

The autonomous agriculture, construction, and mining machinery market consists of sales of autonomous agriculture, construction, and mining machinery by entities (organizations, sole traders or partnerships) that are engaged in manufacturing autonomous machinery and vehicles which function with minimal human intervention and work on wireless communication technologies, by communicating with radio signals from other equipment receiving commands. The equipment includes sensors such as Light Detection and Ranging (LiDAR) and cameras to recognize humans and obstacles in order to perform a task autonomously. This type of equipment assures benefits such as improved efficiency and productivity, reduced errors, improved safety, and reduced unscheduled maintenance, as these machines send abnormalities to user through connected devices.

The autonomous marine vehicles market consists of sales of autonomous marine vehicles. Autonomous marine vehicles are robotic equipment that travels below or on the surface of the water without requiring input from a human operator.  The main types of autonomous marine vehicles are surface vehicles and underwater vehicles. A surface vehicle is a car for transportation on land, as opposed to a subway car or any other elevated car. The different applications involved are military & defence, archaeological, exploration, oil & gas, environmental protection and monitoring, search and salvage operations, and oceanography. The technologies involved are imaging, navigation, communication, collision avoidance, and propulsion. The autonomous marine vehicles market research report is one of a series of new reports from The Business Research Company that provides autonomous marine vehicle market statistics, including global market size, regional shares, competitors with an autonomous marine vehicle market share, detailed autonomous marine vehicle market segments, market trends and opportunities, and any further data you may need to thrive in the autonomous marine vehicle industry. This autonomous marine vehicles 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 marine vehicles market is expected to grow from $1,994.26 million in 2021 to $2,298.08 million in 2022 at a compound annual growth rate (CAGR) of 15.2%. 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, affecting many markets across the globe. The autonomous marine vehicles market is expected to grow to $4,147.97 million in 2026 at a CAGR of 15.9%. The autonomous marine vehicle market is being driven by a rise in hydrographic, oceanographic, and environmental surveys conducted globally. A hydrographic survey measure describes and maps features that can be found underwater. The main purpose of conducting these surveys is to produce navigational charts essential for the safe transit of vessels. An oceanographic survey helps with the accurate understanding of marine and freshwater environments for port and harbour development, wastewater and industrial outfalls, power plant intakes and outfalls, and offshore disposals. An autonomous surface vehicle (ASV) provides an efficient method of undertaking a hydrographic survey, as it saves both cost and time. It is also flexible and convenient, which allows for faster deployment for several survey requirements, from event surveys to large coastal surveys. For instance, according to the world’s first autonomous hydrographic survey, by 4D Ocean, after the channel Coastal Observatory (CCO) commissioned it to carry out a hydrographic survey of the seabed that is offshore of Hurst Spit, Western Solent, with the help of a SeaRobotics ASV 2.5. The vulnerability of ships to cyber threats due to automation is a major restraint for the autonomous marine vehicle market. This is mainly because cyberspace and its associated infrastructure are vulnerable to a versatile range of risks coming from cyber threats and attacks. The use of automation, which negates the need for human intervention on ships and in ports, increases the chances of security breaches. A cyber-attack can misguide an autonomous ship to move in a different direction or move to a separate port, which can lead to misplacement and delay of goods and services. For example, container ship and supply vessel operator A.P. Moller-Maersk became a victim of a cyber-attack that resulted in a loss of around $250–300 million for the company. According to a survey by law firm Clyde & Co and the Institute of Marine Engineering, Science & Technology (IMarEST), over two-thirds of marine industry executives surveyed from across the world fear that unmanned/autonomous ships present a greater cyber-security risk than traditional ships. Maritime drone swarming for better surveillance and investigation capabilities is an emerging trend in the autonomous marine vehicle market. Maritime drone swarms are a large group of underwater vehicles moving together for a particular purpose. The drone swarm has a wide range of capabilities in defence applications since it is capable of performing surveillance and investigation tasks followed by defensive or offensive countermeasures. As the swarm works collectively to navigate through the underwater environment, it senses a wider area in a shorter time by making use of several sensing techniques to build a comprehensive map of the environment. For instance, the European Union (EU) is currently funding a research project called Ocean2020, which will facilitate a combination of drones and unmanned submarines into swarms or fleet units. In another example, the US Navy's Undersea Warfare Center approved a grant of $78,000 for Aquabotix’s SwarmDiver technology to support the US Navy and allied vessels. The International Maritime Organization (IMO) has regulations related to ballast water management in marine vehicles. Ballast water is defined as water that is pumped inside a marine vehicle to maintain safe operating conditions and operations. Regulation D-3 by the IMO requires that ballast water management systems that use active substances be approved following the specifications defined by the IMO. As per the International Convention for the Control and Management of Ships’ Ballast Water and Sediments, active substances are those which include a virus or a fungus, having a general or specific action on or against harmful aquatic organisms or pathogens. Hence, regulations such as these would keep a check on manufacturers of ballast water management systems as well as the companies in the autonomous marine vehicle market. Major players in the autonomous marine vehicles market include Asv Global/ASV Unmanned Marine Systems, Atlas Elektronik, Teledyne Technologies, ECA Group, and Sea Robotics Inc. North America was the largest region in the autonomous marine vehicles market in 2021. Middle East was the second largest region in the autonomous marine vehicles market. The regions covered in the autonomous marine vehicles market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the autonomous marine vehicles market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, USA. The global autonomous marine vehicles market is segmented - 1) By Type: Surface Vehicle, Underwater Vehicle 2) By Application: Military & Defense, Archeological, Exploration, Oil & Gas, Environmental Protection And Monitoring , Search And Salvage Operations , Oceanography 3) By Technology: Imaging, Navigation, Communication, Collision Avoidance, Propulsion

The autonomous ship market consists of sales of autonomous ships and related services. An autonomous ship is also known as a crewless watercraft piloted by artificial intelligence (AI) without human interference. These ships are unmanned and function autonomously as a type of seafaring drone. Autonomous ships work on artificial intelligence technology and sensors, which include lidar, radar, high definition cameras, sonar, and thermal imaging. 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 ship market is expected to grow from $6.46 billion in 2021 to $6.88 billion in 2022 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, affecting many markets across the globe. The autonomous ship market is expected to grow to $8.89 billion in 2026 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 the International Institute of Marine Surveying report published in November 2019, human error represents 58% of accidental events, and 70% of accidents had shipboard operations as a major cause. 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 January 2019, Hyundai Heavy Industries, a South Korea-based shipbuilding company, announced the acquisition of Daewoo Shipbuilding and Marine Engineering for an undisclosed amount. This acquisition will join two heavyweights to create a shipbuilding giant with a global market share of about 20 percent. Daewoo Shipbuilding and Marine Engineering is a South Korea-based shipbuilding company. 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 2021. Western Europe was the second largest region in the autonomous ships market. The regions covered in the 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 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

The market for autonomous trains consists of sales of autonomous trains that have an automatic train protection (ATP) system enabled, which helps the train to automatically stop at signals with speed control. The trains are designed with high-powered cameras, the latest sensors, GPS data, and onboard computer systems. The data is collected from sensors and monitored at control rooms, which enables the autonomous system to make an informed decision. Autonomous trains can run more frequently and achieve higher speeds, enabling managers to increase the number of trains in operation on a route instead of having to incur the significant expense of building new tracks. The market consists of revenue generated by the company’s manufacturing of automatic trains through the sales of these products. 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), 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 train market is expected to grow from $8.43 billion in 2021 to $9.08 billion in 2022 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, affecting many markets across the globe. The autonomous train market is expected to grow to $12.24 billion in 2026 at a CAGR of 7.7%. 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 Europewas the largest region in the autonomous trains market in 2021. Asia Pacific was the second largest region in the autonomous trains market. The regions covered in the 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 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

The autonomous aircraft market consists of sales of autonomous aircraft, and related services, which are used as personal air vehicle and passenger air vehicle. Autonomous aircraft is an unmanned aircraft that does not require pilot interference in-flight management. The main types of technologies in autonomous aircraft are increasingly autonomous and fully autonomous. An autonomous aircraft is one that is piloted by automatic systems and does not require the involvement of a human pilot. The different types include fixed-wing, rotary-wing and are used in cargo aircraft, passenger aircraft. It is implemented in various sectors such as commercial and defense. The global autonomous aircraft market size is expected grow from $ 0.71 billion in 2021 to $ 0.83 billion in 2022 at a compound annual growth rate (CAGR) of 15.6%. The growth in the market is mainly due to the companies resuming their operations and adapting to the new normal while recovering from the COVID-19 impact, which had earlier led to restrictive containment measures involving social distancing, remote working, and the closure of commercial activities that resulted in operational challenges. The autonomous aircraft market is expected to reach $ 1.40 billion in 2026 at a CAGR of 14.2%. The advancement in artificial intelligence is a key factor driving the growth of the autonomous aircraft market. Through managing aircraft and activities with AI-powered technologies, airlines and flight operators will dramatically reduce their operating costs and expenses. Artificial intelligence is now being used by the world's leading airlines to boost operating performance, prevent expensive errors, and increase customer loyalty. For instance, Airbus, one of the largest aerospace companies, is currently using AI to analyze data from multiple factories and determine when manufacturing process variations take place. It helps to resolve the problems sooner, when it's faster and less costly, or even fully avoid them. Therefore, advancements in artificial intelligence are expected to drive the growth of the autonomous aircraft market. The safety concerns related to advanced technologies used in aircraft are a key factor hampering the growth of the autonomous aircraft's market. In 2019, two aircraft crashes of Boeing's 737 MAX are believed to be related to software flaws in the flight control system. Boeing's revenue in the quarter ending March 31 fell to $22.9 billion from the same quarter a year earlier, and net earnings declined to $2.15 billion by 13%. Therefore, safety concerns around autonomous aircraft are expected to limit the growth of the autonomous aircraft market. In July 2021, Shield AI Inc, a US-based artificial intelligence company acquired Martin UAV for an undisclosed amount. Shield AI will incorporate its combat-proven autonomous software, Hivemind, into the V-BAT as part of this acquisition, solidifying Shield AI’s dominant position in defense-focused edge autonomy. Martin UAV is a US-based aircraft manufacturer. Major players in the autonomous aircraft market are Boeing, Airbus, Lockheed Martin, Northrop Grumman, Elbit Systems, Raytheon Company, AeroVironment Inc., Saab AB, BAE Systems, and Aeronautics Ltd. North America was the largest region in autonomous aircraft market in 2021. Asia Pacific is expected to be the fastest growing region in the forecast period. The regions covered in the autonomous aircraft market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the autonomous aircraft market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The global autonomous aircraft market is segmented - 1) By Technology: Increasingly Autonomous, Fully Autonomous 2) By Aircraft Type: Fixed-Wing, Rotary-Wing 3) By Application: Cargo Aircraft, Passenger Aircraft 4) By End User: Commercial, Defense

The autonomous construction equipment market consists of sales of autonomous construction equipment which works on wireless communication technologies, by interfering with radio signals from other equipment, receiving commands, and reporting status. The equipment includes hardware retrofit and sensors added to get machine and process feedback, as well as knowledge of the position and the surroundings. It assures benefits like improved safety, increased productivity, and reduced unscheduled maintenance. The market consists of revenue generated by the company’s manufacturing autonomous construction equipment by the sales of these products. The main product types of autonomous construction equipment are earth moving equipment, construction vehicles, material handling equipment, concrete, and road construction equipment. Earthmoving equipment is large machinery, mainly heavy-duty vehicles designed for earthwork construction tasks. The autonomous construction equipment is partial/semi-autonomous and fully autonomous. The various applications involved are road construction, building construction, and other application. The global autonomous construction equipment market size is expected to grow from $10.02 billion in 2021 to $11.86 billion in 2022 at a compound annual growth rate (CAGR) of 18.5%. The global autonomous construction equipment market size is expected to grow to $18.53 billion in 2026 at a CAGR of 11.8%. Most construction companies are facing heavy equipment operator shortages throughout the world. Manufacturers are more focused on technology such as robotics and automation primarily to combat labor shortages along with finishing up their tasks faster, reducing wastage, and providing high yields with improved quality. Experts believed that one of the best solutions to combat labor shortages is to automate construction equipment, especially in remote areas, for repetitive tasks and in locations with significant labor shortages. Therefore, shortage in labor or skilled workforce is driving the Autonomous construction equipment market. Safety and cyber security issues have always been a major challenge in the autonomous construction equipment market. To automate construction equipment, regardless of the control system used, cybersecurity always remains a key concern as it is challenging to control the potential damage that could be caused by the hacking of heavy equipment. It presents remote access for hackers to exploit system vulnerabilities of communication systems between vehicles and infrastructure. Threats associated with the protection and safety of personal information are always being a major concern, limiting the growth of the Autonomous construction equipment market. Making existing equipment autonomous is a growing trend in the autonomous construction equipment market. Companies are interested in automation but the implementation cost for deployment of technology is high. Therefore, construction companies are planning to rent autonomous machines to stay competitive by using new technology without the potential barriers of high investments. This is mainly avoiding costs associated with purchasing construction equipment. For instance, the cost of owning a commercial truck may add up to roughly $8,500 annually according to the statistics. To reduce the overall expenses, they are working on solutions to make their existing equipment autonomous. Built Robotics, is providing a manufacturer-agnostic solution to clients that wants to automate their machine by which customer could make their machinery autonomous without sacrificing manual operating capabilities. With more machines to be likely to become autonomous in the future, promising developments are on the horizon. In June 2019, Mortenson, a U.S.-based, top-20 builder, developer, and leading renewable energy contractor has announced a strategic partnership with a San Francisco-based developer of autonomous robotic equipment technology, Built Robotics. Built Robotics builds robotic upgrade kits for common construction equipment such as bulldozers, excavators, and skid steers. Combined with its proprietary software, it designs autonomous equipment with multilayer safety systems to ensure 100 percent safe operation. The deal will focus on heavy civil earthmoving activities on renewable energy projects that Mortenson is building in North America. Major players in the autonomous construction equipment market are Komatsu Ltd, Caterpillar Inc, Hitachi Construction Machinery Co, Ltd, Volvo Construction Equipment, Built Robotics, Inc, Cyngn, Royal Truck & Equipment, Case Construction Equipment, and Deere and Company. Asia-Pacific was the largest region in the autonomous construction equipment market in 2021. Noth America was the second-largest region in the global autonomous construction equipment market. The regions covered in the global autonomous construction equipment market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the autonomous construction equipment market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, and USA. The global autonomous construction equipment market is segmented - 1) By Autonomy: Partial/Semi Autonomous, Fully Autonomous 2) By Product Type: Earth Moving Equipment, Construction Vehicles, Material Handling Equipment, Concrete and Road Construction Equipment 3) By Application: Road Construction, Building Construction, Others

The autonomous farm equipment market consists of sales of autonomous farm equipment and related services for agriculture, horticulture, animal husbandry, and forestry. Within a unified framework, autonomous farming is the modeling and regulation of agricultural machinery. These farming technologies use the on-farm sensing and control power of automated farming equipment to reach agronomy-based targets. The main product types of autonomous farm equipment are tractors, harvesters, unmanned aerial vehicles (UAVs), and other product types. Harvesters refer to a machine for harvesting crops. The technologies used in autonomous farm equipment are partially autonomous and fully autonomous. The various applications involved are agriculture, horticulture, animal husbandry, forestry, and other applications. The global autonomous farm equipment market size is expected to grow from $62.79 billion in 2021 to $68.51 billion in 2022 at a compound annual growth rate (CAGR) of 9.1%. The global autonomous farming equipment market is expected to grow to $97.28 billion in 2026 at a CAGR of 9.2%. The increasing use of autonomous tractors is a key factor driving the growth of the autonomous farm equipment market. Autonomous tractors use several sophisticated systems and sensors which would possess an effective self-driving vehicle, and by incorporating these advanced systems in run-of-the-mill farming, farmers will experience positive technological effects in the workplace. Alternatively, autonomous tractors can be set up to function as mobile hotspots to collect data from sensors in the field. Also, about 34.5% of the global demand for autonomous farm machinery will retain the 31–100 HP output capacity of farm tractors in 2026. Therefore, the demand for autonomous tractors is expected to drive the growth of the autonomous farm equipment market. The fear of unemployment due to automation is a key factor hampering the growth of the autonomous farm equipment market. The developments in AI and robotics would have a significant impact on regular working lifestyles, comparable to the change away from agricultural societies during the industrial revolution. In the US alone, between 39 and 73 million jobs will be automated, representing approximately a third of the total workforce. A recent study estimates that as many as 800 million jobs will be lost to automation worldwide by 2030. Therefore, concerns about the rise in unemployment due to automation are expected to hinder the growth of the autonomous farm equipment market. In November 2019, Raven Industries Inc., a USA-based leader in precision agriculture, high-performance specialty films, and lighter-than-air technologies acquired Smart Ag Inc. for an undisclosed amount. Through this acquisition, Raven Industries Inc. will be integrated into the division’s business and technology portfolio with the intent to create autonomous solutions for the precision agriculture market. Smart Ag Inc. is a USA-based technology company that develops autonomous farming solutions for agriculture. Major players in the autonomous farm equipment market are Claas KGaA GmbH, Deutz Fahr, AGCO Corporation, John Deere, Case IH, Agrobot, Autonomous Tractor Corporation, Yanmar, Iseki & Co, and Kubota. Asia Pacific was the largest region in the autonomous farm equipment market in 2021. North America was the second largest region of the global autonomous farm equipment market. The regions covered in the global autonomous farm equipment market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the autonomous farm equipment market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, and USA. The global autonomous farm equipment market is segmented - 1) By Product Type: Tractors, Harvesters, Unmanned Aerial Vehicles (UAVs), Others 2) By Technology: Partially Autonomous, Fully Autonomous 3) By Application: Agriculture, Horticulture, Animal Husbandry, Forestry, Others