Autonomous AI And Autonomous Agents Global Market Report 2023 – By Offering (Hardware, Software, Services), By Technology (Machine Learning, Natural Language Processing, Context Awareness, Computer Vision), By Vertical (Banking, Financial Services And Insurance (BFSI), Retail And Ecommerce, Telecommunications, Manufacturing, Healthcare And Life Sciences, Energy And Utilities, Automotive, Transportations And Logistics, Government And Defense, Media And Entertainment, Other Verticals) – Market Size, Trends, And Global Forecast 2023-2032

Inotropic agents refer to a class of medications that affect the contractility of the heart muscle. They are used to treat conditions such as heart failure, where the heart is unable to pump enough blood to meet the body's needs. Inotropic agents work by increasing the strength and force of the heart's contractions, which can improve blood flow to the body's organs and tissues. The main types of drugs in inotropic agents are positive inotropic drugs, negative inotropic drugs, and others. Positive inotropic drugs refer to medications that enhance the contractility or force of contraction of the heart muscle. It was consumed through different routes of administration, such as oral, parenteral, and others, and it was distributed through hospital pharmacies, retail pharmacies, and others. It was used to treat various indications such as heart attack, heart failure, angina, arrhythmia, and others, and the main end-users are hospitals, homecare, specialty centers, and others. The global inotropic agents market is segmented - 1) By Type: Positive Inotropic Drugs, Negative Inotropic Drugs, Other Types 2) By Route Of Administration: Oral, Parenteral, Other Routes Of Administration 3) By Indication: Heart Attack, Heart Failure, Angina, Arrhythmia, Other Indications 4) By Distribution Channel: Hospital Pharmacy, Retail Pharmacy, Other Distribution Channels 5) By End User: Hospital, Homecare, Specialty Centers, Other End Users The global inotropic agents market size is expected to grow from $2.10 billion in 2022 to $2.32 billion in 2023 at a compound annual growth rate (CAGR) of 10.88%. 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 inotropic agents market size is expected to reach $3.56 billion in 2027 at a CAGR of 11.24%. The surge in the prevalence of cardiovascular diseases is driving the inotropic agent market. Cardiovascular diseases (CVDs) refer to diseases of the vascular system and heart functioning. Inotropic agents are used in the treatment of cardiovascular diseases to improve the contractility and function of the heart, tackle cardiac shock, and slow the heart rate as they help the heart contract more powerfully, thereby increasing blood flow. So this helps boost the inotropic agent market. For instance, in October 2022, according to the reports shared by the Centers for Disease Control and Prevention, a US-based government agency, heart diseases were the leading cause of death in the US. About 697,000 people died from heart disease in 2020, which was roughly 1 in every 5 deaths. About 20.1 million adults were suffering from coronary artery disease. Each year, about 805,000 people in the US suffer from a heart attack. Furthermore, in August 2022, according to the American College of Cardiology, a US-based nonprofit medical association, the risk of stroke was expected to increase by 33.8 percent to 15 million from 2025 to 2060. Therefore, the surge in the prevalence of cardiovascular diseases is propelling the inotropic agent market forward. Major players in the inotropic agents market are Pfizer Inc., GSK PLC., Novartis AG, Mylan N.V., Boehringer Ingelheim International GmbH, AstraZeneca PLC., Johnson & Johnson, Bayer AG, Merck & Co. Inc., Bristol-Myers Squibb Company, Cipla Ltd., Eli Lilly And Company, Sanofi S.A., Baxter International Inc., Hikma Pharmaceuticals PLC., Sun Pharmaceuticals Industries Ltd. and Cadila Pharmaceuticals Ltd. Drug approval is a key trend gaining popularity in the inotropic agents market. Major companies in the market are developing innovative new products and drugs to sustain their position in the market. For instance, in April 2022, Bristol-Myers Squibb., a US-based pharmaceutical developer and manufacturer, received regulatory approval for Camzyos™ (mavacamten) from the U.S. Food and Drug Administration (FDA), a US-based national public health agency and regulator. It is used in the treatment of class II-III obstructive hypertrophic cardiomyopathy (HCM) to improve functional capacity and symptoms. This medication works by inhibiting the excessive contraction of the heart muscle. It is a selective inhibitor of cardiac myosin, a protein involved in muscle contraction. It is typically prescribed to individuals who have symptomatic obstructive HCM and have not adequately responded to other treatment options, such as beta-blockers or calcium channel blockers. In March 2022, Pfizer Inc., a US-based pharmaceutical and biotechnology corporation, acquired Arena Pharmaceuticals Inc., for $6.7 billion. With this acquisition, Pfizer Inc. aims to improve cardiovascular treatments and capabilities, which will accelerate our mission to deliver our important medicines to patients. Arena Pharmaceuticals, Inc. is a US-based biopharmaceutical company that develops inotropic drugs and cardiovascular drugs. North America was the largest region in the inotropic agents market in 2022. Asia-Pacific is expected to be the fastest-growing region in the global inotropic agents market report during the forecast period. The regions covered in the global inotropic agents market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the inotropic agents market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The inotropic agent market consists of sales of digoxin, dopamine, dobutamine, levosimendan, and milrinone. 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 inotropic agents market research report is one of a series of new reports from The Business Research Company that provides inotropic agents market statistics, including inotropic agents industry global market size, regional shares, competitors with a inotropic agents market share, detailed inotropic agents market segments, market trends and opportunities, and any further data you may need to thrive in the inotropic agents industry. This inotropic agents 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.

Medical imaging reagents refer to the substances that are used by medical practitioners and researchers to enhance the visibility of the structures and organs to identify new development and diagnose or treat diseases. It is used to visualize structures or organs, allowing clinicians to better diagnose and identify diseases. The main classes of medical imaging reagents are contrast reagents, optical reagents, and nuclear reagents. Contrast agents refer to substances that enhance the radiodensity and increase the contrast of structures or fluids in medical imaging by altering the way that electromagnetic radiation or ultrasound waves pass through the body. The various types of technology involve are nanoparticles, fluorescent dyes, radiopharmaceuticals, fluorescent proteins, and quantum dots, which involve various modes such as X-ray, CT scan, ultrasound, and MRI scan. These are used for several applications, such as neurological disorders, cardiovascular disorders, cancer, gastrointestinal disorder, musculoskeletal disorder, nephrological disorder, and others, and are used by various end-users, including biotechnology companies, pharmaceutical companies, and diagnostic labs. The global medical imaging reagents market is segmented - 1) By Class: Contrast Reagents, Optical Reagents, Nuclear Reagents 2) By Technology: Nanoparticles, Fluorescent Dyes, Probes Radiopharmaceuticals, Fluorescent Proteins, Quantum Dots 3) By Modality: X-ray, CT Scan, Ultrasound, MRI Scan 4) By Application: Neurological Disorder, Cardiovascular Disorder, Cancer, Gastrointestinal Disorder, Musculoskeletal Disorder, Nephrological Disorder, Other Applications 5) By End User: Biotechnology Companies, Pharmaceutical Companies, Diagnostic Labs The global medical imaging reagents market size is expected to grow from $13.04 billion in 2022 to $14.06 billion in 2023 at a compound annual growth rate (CAGR) of 7.8%. 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 medical imaging reagents market size is expected to reach $18.24 billion in 2027 at a CAGR of 6.7%. The increase in the prevalence of chronic diseases is expected to propel the growth of the medical imaging reagents market going forward. Chronic diseases refer to conditions that last one year or longer and require continuous medical attention, which may worsen over time. Chronic diseases require medical imaging reagents to diagnose and detect diseases by visualizing organs and affected structures. For instance, in 2022, according to the American Cancer Society, a US-based voluntary organization, the number of new cancer cases and fatalities expected was estimated to be 1.9 million new cancer cases diagnosed and 609,360 cancer deaths in the United States. Furthermore, in December 2021, according to the IDF Diabetes Atlas Tenth Edition 2021 report published by the International Diabetes Federation, a Belgium-based umbrella organization of national diabetes associations, 537 million persons (20–79 years old) were estimated to have diabetes in 2021. By 2030, there will be 643 million diabetics worldwide, and by 2045, there will be 783 million. The increase in the prevalence of chronic diseases is driving the growth of the medical imaging reagents market. Major players in the medical imaging reagents market are General Electric Company (GE Healthcare), Lantheus Holdings Inc., Thermo Fisher Scientific Inc., Bayer AG, Bracco SpA, Siemens AG, PerkinElmer Inc., Cardinal Health Inc., Shimadzu Corporation, Philips Healthcare, SA Laboratories André Guerbet, Li-cor Biosciences Inc., Canon Medical Systems Corporation, Fujifilm Healthcare, and Aidoc Medical. Product innovations are a key trend gaining popularity in the medical imaging reagents market. Major companies operating in the medical imaging reagents market are focused on developing new solutions to sustain their position in the market. For instance, in March 2020, Sony Corporation, a Japan-based conglomerate corporation, launched KIRAVIA Dyes™, an innovative new fluorescent dye for use in reagents for a wide range of life science applications. They additionally aid in imaging programs such as microscopy. This polymer structure is intended to boost brightness by minimizing the quenching impact between adjacent dyes on the backbone. More colors are added to the backbone to make brighter polymers. It enables higher brightness reagents for the life science segment, such as immunology and regenerative medicine, and is utilized in the life sciences sectors to explore the qualities of tissues and cells. In September 2021, PerkinElmer Inc., a US-based provider of detection and imaging technologies, acquired Bio Legend for $5.25 billion. Through this acquisition, PerkinElmer expands its life science franchise into cytometry, proteogenomic, multiplex assays, recombinant proteins, magnetic cell separation, and bioprocessing. Bio Legend is a US-based developer of reagents supporting microscopy-based imaging of cells and tissue samples. North America was the largest region in the medical imaging reagents market in 2022. The regions covered in the global medical imaging reagents market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the medical imaging reagents market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The medical imaging reagents market consists of sales of fluorescent visualizing reagents, supermolecules, and magnetic resonance imaging reagents. 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 medical imaging reagents market research report is one of a series of new reports from The Business Research Company that provides medical imaging reagents market statistics, including medical imaging reagents industry global market size, regional shares, competitors with a medical imaging reagents market share, detailed medical imaging reagents market segments, market trends and opportunities, and any further data you may need to thrive in the medical imaging reagents industry. This medical imaging reagents 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.

Artificial intelligence (AI) is a simulation of the human intelligence in machines that are programmed to think and behave like humans. AI helps to complete the job quickly and with relatively few errors. The main components of automotive artificial intelligence are hardware, software, and services. The hardware market consists of sales of hardware by entities (organizations, sole traders, and partnerships), that are integrated into the automotive artificial intelligence field. AI hardware orchestrates and coordinates computations among accelerators, serving as a differentiator in AI. AI hardware primarily consists of CPU (Central Processing Units), GPU (Graphics Processing Units), FPGA (Field Programmable Gate Arrays), and an ASIC (Application Specific Integrated Circuits). The main types of automotive artificial intelligence include automotive drive and ADAS. The different process of automotive artificial intelligence includes signal recognition, image recognition, and data mining. The different technologies used in automotive artificial intelligence include deep learning, machine learning, context awareness, computer vision, and natural language processing. Automotive artificial intelligence is used in semi-autonomous driving, autonomous driving, and human-machine interface. The global automotive artificial intelligence market is segmented - 1) By Component: Hardware, Software, Service 2) By Type: Automatic Drive, ADAS 3) By Process: Signal Recognition, Image Recognition, Data Mining 4) By Technology: Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing 5) By Application: Semi-Automatic, Human Machine Interface, Autonomous Driving The global automotive artificial intelligence market size will grow from $1.98 billion in 2022 to $2.79 billion in 2023 at a compound annual growth rate (CAGR) of 40.7%. 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 market size of the automotive artificial intelligence is expected to grow to $10.51 billion in 2027 at a CAGR of 39.3%. The growing demand for autonomous vehicles is expected to propel the growth of the automotive artificial intelligence market. Artificial intelligence has a wide range of applications in the automotive industry. As technology evolves, the automobile industry has taken advantage of discoveries to provide new ways to make driving more autonomous. Using artificial intelligence to develop self-driving automobiles is one of them. A self-driving car (also known as an autonomous car or driverless car) is a vehicle that travels to locations without the need for a human driver by utilizing a variety of sensors, radars, cameras, and artificial intelligence. For instance, according to Deloitte, the global automotive AI market will culminate in a total volume of around $27 billion in 2025. Therefore, a rise in demand for automotive cars drives the growth of automotive artificial intelligence. Major players in the automotive artificial intelligence market are DiDi Chuxing Technology, Otto Motors, Waymo LLC, Microsoft Corporation, Intel Corporation, NVIDIA Corporation, BMW AG, IBM Corporation, Harman International Industries Inc., Xilinx Inc., Qualcomm Inc., Tesla Inc., Volvo Car Corporation, Micron Technology, Inc., Toyota, and Uber Technologies. Strategic collaborations between companies are a key trend gaining popularity in the automotive artificial intelligence market. Companies providing artificial automotive intelligence are undergoing partnerships and collaborations to develop new technologies and products. For instance, in May 2021, a mobile transportation company based in China and Volvo, an automobile manufacturing company based in Sweden, are involved in a partnership with automatic driving vehicles. Through this partnership, Volvo will provide Didi with XC90 SUVs fitted with steering and brake backup systems. The vehicles will be the first to use Didi Gemini, the ride-hailing company's new self-driving hardware platform, and will be tested with human safety drivers. In the other partnership, in February 2021, Volkswagen, a German-based automobile manufacturer, and Microsoft, an American multinational technology corporation that produces computer software, consumer electronics, personal computers, and related services, partnered to develop self-driving car software. With this partnership, Volkswagen and Microsoft will together develop the "Volkswagen Automotive Cloud". The service will support all of the German automaker's digital and mobility products, including car-sharing and other shared mobility services. By 2020, Volkswagen hopes to have more than 5 million linked vehicles in the cloud, thanks to the Internet of Things. As part of the agreement, the businesses will open a new automotive cloud development center near Microsoft's headquarters in Redmond, Washington. In June 2020, Mercedes-Benz A German-based luxury automobile manufacturing company, and Nvidia, an American-based multinational technology company that designs graphics processing units as well as systems-on-chip units for the mobile computing and automotive market, entered into a partnership to build the world’s most advanced, software-defined vehicles. The partnership enables Mercedes-Benz to launch software-defined, intelligent vehicles using end-to-end NVIDIA technology. Beginning in 2024, every next-generation Mercedes-Benz vehicle will include Nvidia's first-of-its-kind software-defined computing architecture, which includes the most powerful computers, system software, and applications for consumers, signaling the shift from traditional vehicles to high-performance, updateable computing devices. North America was the largest region in the automotive artificial intelligence market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the automotive artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the automotive artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The automotive artificial intelligence market includes revenues earned by entities by offering automotive artificial intelligence. It refers to solutions that can collect and process massive volumes of vehicle data, deliver actionable insights, and improve privacy and data security. Automotive artificial intelligence is at the heart of autonomous driving, allowing for real-time recognition of items in the vehicle's environment and improved maintenance and fleet management used in the production of self-driving automobiles. AI automotive solutions improve navigation systems, improve voice command understanding, and streamline regular activities, all of which lead to improved business processes and have the potential to improve user experience, accelerate innovation cycles, and optimize the overall manufacturing and maintenance workflow. 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 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 automotive artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides automotive artificial intelligence market statistics, including automotive artificial intelligence industry global market size, regional shares, competitors with an automotive artificial intelligence market share, detailed automotive artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the automotive artificial intelligence industry. This automotive artificial intelligence 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.

Artificial intelligence is a wide-ranging branch of computer science-related with building smart machines that can perform tasks that require human intelligence. The main technology types of artificial intelligence services are machine learning, computer vision, natural language processing (NLP), and others. Machine learning is an artificial intelligence (AI) program that allows systems to automatically learn and improve from experience without being explicitly programmed. The various software tools used include web-based and cloud application programming interface, processing and modeler, archiving, and data storage that are used to provide managed services and professional services. The services are used by different end users such as banking, financial, and insurance (BFSI), IT and telecom, retail, manufacturing, public sector, energy and utility, and healthcare, among others. The global artificial intelligence services market is segmented – 1) By Technology: Machine Learning, Computer Vision, Natural Language Processing (NLP), Other Technology 2) By Services Type: Managed Services, Professional Services 3) By Software Tools: Web-based and Cloud Application Programming Interface, Processing and Modeler, Archiving and Data Storage 4) By Application Type: Fraud Detection, Data Analytics & Visualization, Customer Service and Management, Rsik Management, Compliance & Security 5) By End-User: Banking, Financial, and Insurance (BFSI), IT & Telecom, Retail, Manufacturing, Public Sector, Energy & Utility, Healthcare, Other End-Users The global artificial intelligence services market size will grow from $12.39 billion in 2022 to $18.34 billion in 2023 at a compound annual growth rate (CAGR) of 48.0%. 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 market size of the global artificial intelligence services is expected to grow to $55.38 billion in 2027 at a CAGR of 31.8%. The rise in the adoption of cloud-based solutions is a key factor driving the growth of the artificial intelligence services market. Artificial intelligence (AI) as a service lets businesses experiment with AI for different activities without a high initial investment. Experimentation enables many cloud computing platforms to check different machine learning algorithms and helps streamline how data is analyzed and managed. Businesses are deeply interested in cloud-based machine learning, which lets them experiment through their services and help their clients make informed decisions based on the data. For instance, in March 2020, Google announced the beta launch of Cloud AI Platform Pipelines, which provides its customers with repeatable machine learning pipelines that can be installed easily and used for machine learning workflows securely. The integration of AI applications into its cloud draws more customers, thus enhancing market growth over the forecast period. Therefore, the rise in the adoption of cloud-based solutions is expected to drive the growth of the artificial intelligence services market. Major players in the artificial intelligence services market are Intel Corp., International Business Machines Corp., Microsoft Corp., SAP SE, SAS Institute Inc., Amazon.com Inc., Salesforce, Google LLC., Oracle Corporation, Fair Isaac Corporation, Alphabet Inc., Apple Inc., CognitiveScale, Inc., Baidu, Inc., BigML, H2O.ai and Baidu Inc. The risks associated with data breaches and hacks are hampering the growth of the artificial intelligence services market. The World Economic Forum (WEF) has cautioned that new technologies such as the Internet of Things, artificial intelligence, and quantum computing can turn around human lives, but may also make society more vulnerable to cyber-attacks. It was stated that attacks occur on average once every 39 seconds and a single breach could cost as much as $150 million in 2020. Although companies and organizations are aware of these risks, breach activity still takes around six months to detect, and the long delays between original network breach and security responses allow hackers to take advantage of significant quantities of data. According to the State of the breach June 2020, about 16 billion records including credit card numbers, phone numbers, home addresses, and other sensitive information were exposed through data breaches since 2019. Therefore, the risks associated with data breaches and hacking hampers the growth of the artificial intelligence services market. The use of artificial intelligence as a service for human interaction with machines using natural language processing (NLP) is a key trend shaping the artificial intelligence services market. Natural language processing (NLP) is a type of artificial intelligence that explains how human language and computers interact. Machine translation is an enormous technology for NLP that enables us to overcome the challenges to contact people from all over the world and to understand software manuals and catalogs written in a foreign language. For instance, the Livox app, a customizable application in 25 languages helps the disabled to communicate. In January 2021, ServiceNow, a US-based provider of information technology management software for companies, acquired Element AI for $230 million. The acquisition of Element AI would significantly strengthen ServiceNow's commitment to developing the most intelligent workflow platform in the world, allowing staff members to work more quickly and intelligently, simplify business choices, and reach new heights of productivity. Element Ai is a Canada-based artificial intelligence (AI) company. Asia-Pacific was the largest region in the artificial intelligence services market in 2022. North America was the second largest region in the global artificial intelligence services market share. The regions covered in the global artificial intelligence services market analysis report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence services market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The artificial intelligence services market includes revenues earned by entities by providing AI services that are used in telecommunications, government, retail, defense and healthcare. Companies in the artificial intelligence market provide outsourced services to cater to business requirements. AI as a service enables individuals and businesses to use AI for different purposes, without significant initial investment and with lower risk. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. 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 artificial intelligence (AI) services market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) services market statistics, including artificial intelligence (AI) services industry global market size, regional shares, competitors with an artificial intelligence (AI) services market share, detailed artificial intelligence (AI) services market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) services industry. This artificial intelligence (AI) services 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.

Autonomous commercial vehicle is a vehicle used for commercial purposes and has hardware and software that can perform the dynamic driving task without the active physical control or supervision of a human being. 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 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 The global autonomous commercial vehicle market size will grow from $6.41 billion in 2022 to $7.95 billion in 2023 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, causing inflation across goods and services and affecting many markets across the globe. The market size of global autonomous commercial vehicle is expected to grow to $16.24 billion in 2027 at a CAGR of 19.6%. 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) 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 the growth of the autonomous commercial vehicles over the forthcoming years. 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. 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 launch of new products is a key trend gaining popularity in the autonomous commercial vehicle market. Companies in the market are focusing on the launch of new products to generate significant cost benefits, and ensure product quality, safety and user experience. For example, in October 2022, XPeng, a Chinese electric vehicle manufacturer, launched G9 SUV, a mass-produced commercial vehicle with new advanced driver assist system (ADAS), the XNGP, combines XPeng’s Highway Navigated Guided Pilot (NGP) and City NGP to automate certain driving functions in both highway and urban driving scenarios. In June 2022, Uber Freight, a US-based managed transportation provider, partnered with Waymo Via. This partnership combines the strength of Waymo's autonomous driving technology with the size of Uber Freight's network and cutting-edge marketplace technology, providing a clear path for the cautious and secure introduction of autonomous trucks on US roads. Waymo Via is a US-based autonomous driving technology company. Asia-Pacific was the largest region in the autonomous commercial vehicle market in 2022. North America was the second largest region in the autonomous commercial vehicle market share. The regions covered in the global autonomous commercial vehicle market analysis 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 autonomous commercial vehicle market consists of sales of autonomous buses and coaches. 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 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.

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 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 global autonomous marine vehicles market size grew from $2298.08 billion in 2022 to $2654.08 billion in 2023 at a compound annual growth rate (CAGR) of 15.5%. 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 market size of the global autonomous marine vehicles is expected to grow from $4789.11 billion in 2027 at a CAGR of 15.9%. The autonomous marine vehicles 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. Major players in the autonomous marine vehicles market report include Asv Global/ASV Unmanned Marine Systems, Atlas Elektronik, Teledyne Technologies, ECA Group, and Sea Robotics Inc. 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. North America was the largest region in the autonomous marine vehicles market in 2022. Middle East was the second largest region in the global autonomous marine vehicles market share. The regions covered in the autonomous marine vehicles market analysis 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 autonomous marine vehicles market consists of sales of submarine gliders and autonomous underwater vehicles. 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 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, autonomous marine vehicle 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.

Autonomous mining equipment is an autonomously or remotely operated machine that is involved in mining activity. The main types of autonomous mining equipment are autonomous hauling/mining trucks, autonomous drilling rigs, underground LHD loaders, tunnelling equipment, and other types. Autonomous equipment involves minimal human intervention and helps in safe and productive mining. The mines included are surface mines and underground mines. The various applications involved are metal, coal, and other applications. The global autonomous mining equipment market is segmented - 1) By Type: Autonomous Hauling/Mining Trucks, Autonomous Drilling Rigs, Underground LHD Loaders, Tunneling Equipment, Other Types 2) By Mine: Surface Mines, Underground Mines 3) By Application: Metal, Coal, Other Applications The global autonomous mining equipment market size will grow from $2.6 billion in 2022 to $2.77 billion in 2023 at a compound annual growth rate (CAGR) of 6.8%. 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 market size of global autonomous mining equipment is expected to grow to $3.5 billion in 2027 at a CAGR of 6.0%. Rising concerns regarding miners' safety are driving the autonomous mining equipment market. Mining is a dangerous profession with hazards such as fires, flooding, mine collapse, and health risks such as respiratory diseases, hearing loss, musculoskeletal disorders, and heat stress. Introducing autonomous equipment such as robotic loaders, laser sensors, and driverless trucks can help ensure workers’ safety. For instance, mining company Rio Tinto is using 73 driverless trucks in four of its iron mines in Australia to improve worker safety. More autonomous mining equipment is employed to minimize human intervention and thereby reduce accidents. Therefore, rising concerns regarding the safety of mine workers are expected to drive for the growth of the autonomous mining equipment market. Major players in the autonomous mining equipment market are Caterpillar, Komatsu, Rockwell Automation, Hitachi, Sandvik, Hexagon, and Atlas Copco. Judgment errors are expected to limit the growth of the autonomous mining equipment market. Incidence of accidents may take place and it often fails to give expected outcomes as they lack flexibility and are unable to handle unanticipated situations. Passive operations fail to take corrective actions in equipment malfunctioning which may result in accidents and losses. Autonomous mining equipment companies have recently been affected by the COVID-19 outbreak. The global pandemic has led to restrictive containment measures involving social distancing and remote working, and the closure of industries and other commercial activities, thereby, affecting the entire mining industry. Mining companies are resorting to production slowdown, operations shut down, and workforce demobilization, due to which the scale of productivity has dropped. Many mines have already implemented autonomous mining technology, however, practically, the mining activity is not possible without human intervention. Moreover, the continuous lock-down in many areas resulted in supply disruption, reduced sales, and reduced demand for end-user industries, negatively affecting profit margins of autonomous mining equipment companies and limiting the growth of the market. Implementing data analytics such as artificial intelligence, machine learning, Internet of Things (IoT)-embedded systems, and other analytics in mining systems is a key trend in the autonomous mining equipment market. Artificial intelligence (AI) is helping to transform the mining industry into a safer, more profitable, and more environmentally friendly industry. AI can analyze vast quantities of data to better predict where to find better resources, along with minimizing errors. IoT system advances in mining equipment are making extraction cheaper without deteriorating existing grades. All of these changes are helping the industry improve its efficiency from mine to market. In August 2022, Epiroc, a Sweden-based mining company completed the acquisition of RNP México for an undisclosed amount. This acquisition strengthens Epiroc’s offering of rock drills and spare parts in Latin America. RNP México is a Mexico-based company that develops, manufactures, and sells rock drills and related components, serving mining and construction customers in Latin America. Asia-Pacific was the largest region in the autonomous mining equipment market in 2022. North America was the second-largest region in the autonomous mining equipment market share. The regions covered in the global autonomous mining equipment market analysis report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the autonomous mining equipment market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The autonomous mining equipment market consists of sales of mining equipment which function with minimal human intervention and primarily help in safe mining and transportation of ores and other materials. 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 autonomous mining equipment market research report is one of a series of new reports from The Business Research Company that provides autonomous mining equipment market statistics, including autonomous mining equipment industry global market size, regional shares, competitors with an autonomous mining equipment market share, detailed autonomous mining equipment market segments, market trends and opportunities, and any further data you may need to thrive in the autonomous mining equipment industry. This autonomous mining equipment 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.

Artificial intelligence (AI) is a simulation of the human intelligence in machines that are programmed to think and behave like humans. AI helps to complete the job quickly and with relatively few errors. The main technology types of artificial intelligence are machine learning, natural language processing, context-aware computing, computer vision and others. Machine learning is an artificial intelligence (AI) program that allows systems to automatically learn and improve from experience without being explicitly programmed. The AI technology is offered through hardware, software and services that are used by healthcare, automotive, agriculture, retail, marketing, telecommunication, defense, aerospace, media and entertainment and other end use industries. The global artificial intelligence market is segmented – 1) By Offering: Hardware, Software, Services 2) By Technology: Machine learning, Natural language processing, Context-Aware Computing, Computer Vision, Other Technologies (Image processing, Speech recognition) 3) By End-user Industry: Healthcare, Automotive, Agriculture, Retail, Marketing, Telecommunication, Defense, Aerospace, Media & Entertainment, Other End-User Industries The global artificial intelligence market size will grow from $56.89 billion in 2022 to $73.38 billion in 2023 at a compound annual growth rate (CAGR) of 29.0%. 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 market share of the global artificial intelligence is expected to grow to $167.29 billion in 2027 at a CAGR of 22.9%. Growing investment in AI technologies contributed to the growth of the Artificial intelligence market. Many companies are investing in AI technologies or AI start-ups to increase the efficiency of AI software as AI enables them to make more informed decisions and achieve better results. For instance, Microsoft has invested around $1 billion in OpenAI a San Francisco company. The two companies had formed a partnership to develop AI supercomputing technologies on Microsoft's cloud Azure. AI is useful across multiple sectors. For instance, AI can lead to breakthroughs in R&D and diagnostics in healthcare sector, it can help make better forecasts in finance, and in manufacturing, it can increase production controls and efficiency. Therefore, rise in investment in AI technologies due to its advantages in every sector is driving the market for the Artificial Intelligence market. Major players in the artificial intelligence market are Google, IBM, Baidu, Microsoft, Apple Inc., Ipsoft, NVIDIA corporation, Samsung Electronics Co.Ltd., MicroStrategy Inc., Qlik Technologies Inc., Verint Systems Inc. (Next IT Corp), Qualcomm Technologies, Micron Technology, Xilinx Inc., Intel corporation, ARM Holding, Advanced Micro Devices Inc., Huawei Technologies Co.Ltd., SAP, Intel, Salesforce, Brighterion, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft and Yseop. The limited number of AI Experts is a major challenge in the Artificial intelligence market. To develop the AI software the company needs AI experts, practitioners, and researchers. According to Tencent, a Chinese multinational technology conglomerate holding company, there are 300k AI researchers and practitioners worldwide, but the market demand is around millions of roles. The limited number of AI experts may harm the market. Automated machine learning is being implemented by many companies. It is quite complicated to apply traditional machine learning models for real-world business problems. The better solution is to use Automated machine learning which allows non-machine learning (ML) experts to use machine learning algorithms without being machine learning wizards. For instance, tools like Google cloud AutoML are used to train custom-made and high-quality ML models with a minimum ML expertise. In January 2020, Apple acquired a Seattle-based start-up xnor.ai for a deal amount of $200 million. The acquisition is expected to strengthen in delivering AI capabilities. Xnor.ai is a US-based designer and developer of hardware and software solutions. Asia-Pacific was the largest region in the artificial intelligence market in 2022. North America was the second largest region in the global artificial intelligence market share. The regions covered in the global artificial intelligence market analysis report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The artificial intelligence market includes revenues earned by entities by offering artificial intelligence software. Artificial Intelligence (AI) is sometimes referred to as machine intelligence. Artificial intelligence is a wide-ranging branch of computer science-related to building smart machines that can perform tasks that require human intelligence. 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. Only goods and services traded between entities or sold to end consumers are included. 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 artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence market statistics, including artificial intelligence industry global market size, regional shares, competitors with an artificial intelligence market share, detailed artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence industry. This artificial intelligence 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.