An autonomous car means navigating a vehicle without human input from passengers using sensing equipment (LIDAR), environmental sensitive control equipment, and navigation equipment. The main product types in the autonomous car market are semi-autonomous vehicles and fully-autonomous vehicles. Semi-autonomous vehicles are cars that will accelerate, decelerate, and stop without human intervention. The applications involved are civil, robot taxi, ride-hail, ride-share, and others. The types involved are battery electric vehicles (BEV), internal combustion engines (ICE), and hybrid electric vehicles (HEV). The autonomous cars market research report is one of a series of new reports from The Business Research Company that provides autonomous car market statistics, including global market size, regional shares, competitors with an autonomous car market share, detailed autonomous car market segments, market trends and opportunities, and any further data you may need to thrive in the autonomous car industry. This autonomous cars market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry. The global autonomous cars market size will grow from $931.34 billion in 2022 to $1,047.13 billion in 2023 at a compound annual growth rate (CAGR) of 12.4%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global autonomous cars market size is expected to grow to $1,651.37 billion in 2027 at a CAGR of 12.1%. The rise in the development of smart cities is a key factor driving the growth of the autonomous car market. Electric autonomous cars help reduce air pollution in smart cities and also help to fight climate change. By using driverless cars, traffic accidents can be decreased by 90%, significantly improving the safety of our roads. Several countries, such as Mexico, Canada, and the United States, are deploying digital infrastructure to promote communication between vehicles and networks to collect essential information, thereby reducing traffic congestion and improving road safety. Therefore, the rise in the development of smart cities is expected to drive the growth of the autonomous cars market. Cybersecurity and safety concerns are the key factors hindering the growth of the autonomous car market. Although the self-driving car market has enormous growth potential, many customers are not quite ready to hand over the keys owing to the threat of hackers as they can try to steal data and self-driving cars can go unofficial by exposing their driving routes and destinations, which could threaten the privacy of passengers. The prospect of hackers taking control of the vehicles is even more concerning. In July 2020, cybersecurity researchers used the latest hacking techniques to hack into the electrical systems of a Jeep Cherokee. Using the Internet, they were able to obtain wireless control of the Jeep Cherokee, giving them access to the Jeep’s entertainment system, allowing them to relay commands to its dashboard functions, steering, brakes, and transmission, and they were ready to do all of this remotely from 10 miles away from the vehicle's location. The correlation between these attacks on common IoT devices and attacks on a connected or autonomous vehicle is the possibility of increased life and property risk in the vehicle context. Full automation vehicles are a key trend in the autonomous car market. Full automation vehicles are capable of performing all driving functions in all circumstances. These vehicles are being designed to be used as Robo-taxis, among others, such as Waymo. Eventually, these self-driving cars will blend into U.S. roadways by improving technology across six stages of driver assistance in the forecast period, from no automation (where a fully engaged driver is still required) to full autonomation (where an automated vehicle runs independently without a human driver). Tesla has confirmed that it plans to provide a software update to its vehicles sometime by the end of 2019 or early 2020. Also, according to Wired, by the end of 2020, Tesla will be fully autonomous. In January 2022, Magna International, a Canada-based company that develops car mobility technology, acquired Optimus Ride for an undisclosed amount. This acquisition boosts Magna International’s development of advanced driver assistance systems (ADAS). Optimus Ride, a US-based autonomous vehicle company, works on autonomous cars, providing mobility services. Major players in the autonomous cars market are BMW Group, Tesla Inc., Ford Motor Company, General Motors Company, Nissan Motor Corporation, Daimler AG, Toyota Motor Corporation, Volkswagen AG, Volvo Group, and Waymo LLC. Asia-Pacific was the largest region in the autonomous cars market in 2022. Western Europe was the second largest region in the global autonomous cars market. The regions covered in the global autonomous cars market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the autonomous cars market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, USA. The autonomous car market consists of sales of driver assistance cars, partial automation cars, conditional automation cars and high automation cars. Values in this market are factory gate values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global autonomous cars market is segmented - 1) By Product Type: Semi-Autonomous Vehicles, Fully-Autonomous Vehicles 2) By Application: Civil, Robo Taxi, Ride Hail, Ride Share, Other Applications 3) By Type: Battery Electric Vehicle (BEV), Internal Combustion Engine (ICE), Hybrid Electric Vehicle (HEV)

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 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. The global automotive artificial intelligence market size grew 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 automotive artificial intelligence market size 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. 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. 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. 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 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

Artificial intelligence in transportation refers to using artificial intelligence to process and predict data and outcomes for travel and transportation operations. It collects traffic patterns, minimizes road congestion, and enhances public transportation schedules. This process helps in optimizing logistics and decreases turnaround time. The main types of offering in artificial intelligence in transportation are hardware and software. Hardware is the physical part of the computer or its delivery mechanisms for the software's written instructions to be stored and executed. The hardware in transportation AI includes neuromorphic and von Neumann hardware. The different technologies include deep learning, computer vision, context awareness, and natural language processing that involves various processes such as signal recognition, object recognition, and data mining. It is used in semi-autonomous truck, truck platooning, predictive maintenance, precision and mapping, autonomous truck, and other applications. The artificial intelligence in transportation market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in transportation market statistics, including artificial intelligence in transportation industry global market size, regional shares, competitors with a artificial intelligence in transportation market share, detailed artificial intelligence in transportation market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in transportation industry. This artificial intelligence in transportation 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 artificial intelligence in transportation market size grew from $2.6 billion in 2022 to $3.1 billion in 2023 at a compound annual growth rate (CAGR) of 19.4%. 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 artificial intelligence in transportation market size is expected to grow to $6.3 billion in 2027 at a CAGR of 19.4%. Growing demand for autonomous vehicles is expected to propel the growth of artificial intelligence in the transportation market going forward. An autonomous vehicle is a medium of transport that can drive itself in "autopilot" mode from a starting point to a given destination using various in-vehicle technologies and sensors such as adaptive cruise control, active steering, anti-lock braking systems, GPS navigation technology, lasers, and radar. Autonomous vehicles employ artificial intelligence to operate the vehicle and to sense any accidents or obstacles. For instance, according to a survey conducted by AlixPartners, a financial advisory and global consulting firm, more than 60% of consumers are aware of level 2 autonomy in China, France, Italy, and Germany. Level 2 autonomy means some driving responsibilities are carried out by the vehicle, however, it is anticipated that the driver will respond to interactions in a timely manner. Also, more than 50% of the consumers are ready to give up vehicle ownership for robotaxi services. Therefore, an increase in the growing demand for autonomous vehicles will drive artificial intelligence in the transportation market. Technological advancements have emerged as a key trend gaining popularity in artificial intelligence in the transportation market. Major companies operating in the market are focusing on innovations of new products to strengthen their market position. For instance, in January 2022, Qualcomm, a US-based semi-conductor manufacturing company, launched Snapdragon Ride. Snapdragon Ride aims to reduce the complexity of autonomous driving and Advanced driver assistance systems by combining high-performance, power-efficient hardware, artificial intelligence (AI) technologies, and an autonomous driving stack to deliver a low-cost, high-energy system. It provides comprehensive tools for compiling deep neural networks (deep learning). In April 2021, Conduent Transportation, a US-based business process services and solutions company, partnered with Hayden AI to provide cities and government organisations in the U.S. and overseas with technologically innovative solutions to improve traffic safety and efficiency. The partnership integrates Conduent's position as a top global supplier of public transit and mobility solutions, including traffic enforcement and infractions processing, with Hayden AI's experience in computer vision-based, real-time data collection and urban analytics. Hayden AI is a US-based pioneer in smart traffic enforcement. Major players in the artificial intelligence in transportation market are Volvo Cars, Mercedes-Benz Group AG, Scania AB, Peloton Interactive, Inc., Valeo, Xevo Inc., NVIDIA Corporation, Intel Corporation, Robert Bosch GmbH, Continental AG, Microsoft Corporation, IBM Corporation, Magna International Inc., and ZF Friedrichshafen AG. North America was the largest region in the artificial intelligence in transportation market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in transportation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence in transportation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. Artificial Intelligence in transportation market includes revenues earned by entities by road traffic management systems, unmanned aircraft systems, automation of train operation (ATO), automatic identification systems (AIS) for shipping and autonomous navigation. 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 specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global artificial intelligence in transportation market is segmented - 1) By Offering: Hardware, Software 2) By Machine Learning Technology: Deep Learning, Conputer Vision, Context Awareness, Natural Language Processing 3) By Process: Signal Recognition, Object Recognition, Data Mining 4) By Application: Semi Autonomous Truck, Truck Platooning, Predictive Maintenance, Precision And Mapping, Autonomous Truck, Other Applications

AI in healthcare refers to the use of machine learning and cognitive algorithms for treatment techniques and patient outcomes. AI is applied in various healthcare practices, such as medical diagnostics, drug discovery, clinical trials, pain management, and improving patient outcomes. The main types of AI in healthcare offerings include hardware and software. By algorithms, types of AI in healthcare products include deep learning, querying methods, natural language processing, and context-aware processing. Medical device manufacturers use AI-based technologies to innovate hardware products to better assist health care providers and improve treatment. Technology companies develop AI algorithms for healthcare-related solutions. Robot-assisted surgery, virtual nursing assistants, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifiers, and preliminary diagnosis are the major applications of AI in healthcare. Major end users of AI in healthcare are hospitals and diagnostic centers, pharmaceutical and biopharmaceutical companies, healthcare payers, and patients. The artificial intelligence in healthcare market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in healthcare market statistics, including artificial intelligence in healthcare industry global market size, regional shares, competitors with artificial intelligence in healthcare market share, detailed artificial intelligence in healthcare market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in healthcare industry. This artificial intelligence in healthcare 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 artificial intelligence in healthcare market size grew from $10.13 billion in 2022 to $12.53 billion in 2023 at a compound annual growth rate (CAGR) of 23.7%. 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 artificial intelligence in healthcare market size is expected to grow to $70.99 billion in 2027 at a CAGR of 54.3%. The increase in the adoption of precision medicine is one of the driving factors of artificial intelligence in the healthcare market. Precision medicine uses information about an individual's genes, environmental and lifestyle changes to design and improve the diagnosis and therapeutics of the patient. It is widely used for oncology cases, and due to the rising prevalence of cancer and the number of people affected by it, the demand for AI in precision medicine will increase going forward. According to research published in the Lancet Oncology, the global cancer burden is set to increase by 75% by 2030. AI-driven surgical robots are an emerging trend in the artificial intelligence in healthcare market. Various healthcare fields have adopted robotic surgery in recent times. Robot-assisted surgeries are used to overcome limitations during minimally invasive surgical procedures and to improve surgeon capabilities during open surgeries. AI is widely applied in surgical robots and is also used with machine vision to analyse scans and detect complex cases. While performing surgeries in delicate areas of the human body, robotic surgeries are more effective than manually performed surgeries. Many technology companies are providing innovative robotic solutions to meet healthcare needs. For example, in 2020, Accuracy Incorporated, a US-based company that develops, manufactures, and sells radiotherapy systems for alternative cancer treatments, launched a device called the CyberKnife S7 System, which combines speed, advanced precision, and AI-driven motion tracking for stereotactic radiosurgery and stereotactic body radiation therapy treatment. In August 2021, Nurosene Health Inc., a health technology company focused on the mental wellness of people headquartered in Toronto, Canada, acquired Netramark Corp. This acquisition will advance Nurosene's product capabilities for better brain health by utilising the machine learning technologies of Netramark Corp. NetraMark Corp. is an AI and pharma tech company that develops AI and machine learning solutions for pharmaceutical companies. Major players in the artificial intelligence in healthcare market are Intel Corporation, Nvidia Corporation, IBM Corporation, Microsoft Corporation, Google Inc., Welltok Inc., General Vision Inc., General Electric Company, Siemens Healthcare Private Limited, Medtronic, Koninklijke Philips N.V., Micron Technology Inc., Johnson & Johnson Services Inc., Next IT Corporation, and Amazon Web Services. North America was the largest region in the Artificial Intelligence in Healthcare market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the Artificial Intelligence in Healthcare Market market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The AI in healthcare market includes revenues earned by entities by discovering links between genetic codes, power surgical robots and maximize hospital efficiency. 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 global artificial intelligence in healthcare market is segmented - 1) By Offering: Hardware, Software 2) By Algorithms: Deep Learning, Querying Method, Natural Language Processing, Context Aware Processing 3) By Application: Robot-Assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis 4) By End User: Hospitals and Diagnostic Centers, Pharmaceutical and Biopharmaceutical Companies, Healthcare Payers, Patients

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 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. 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 global artificial intelligence market size 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. 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 Artificial intelligence 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. 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. 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. The regions covered in the global artificial intelligence market 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 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 intelligent virtual assistant refer to an artificial intelligence (AI)-enabled converse adjunct that generates individualized responses by combining analytics and cognitive computing grounded on individual client information, one’s exchange and position, using the commercial knowledgebase and mortal sapience. An intelligent virtual assistant is more advanced than a simple chatbot, which is automated but not powered by artificial intelligence. The main type of products of intelligent virtual assistants are IVA (intelligent virtual assistant) smart speaker and chatbots. The IVA (intelligent virtual assistant) smart speaker are an internet-connected speaker with microphones that enables users to interact with an intelligent virtual assistant using voice commands developed to improve user experience in various devices such as smartphones, tablets, and laptops. Smart speakers are electronic devices that incorporate AI capabilities to provide a smooth user experience when searching over voice-based commands. The user interface used by intelligent virtual assistants are text-to-text, text-to-speech and automatic speech recognition which are mainly used by end-users such as retail, BFSI, healthcare, telecom and others. The intelligent virtual assistants market research report is one of a series of new reports from The Business Research Company that provides intelligent virtual assistants market statistics, including intelligent virtual assistants industry global market size, regional shares, competitors with a intelligent virtual assistants market share, detailed intelligent virtual assistants market segments, market trends and opportunities, and any further data you may need to thrive in the intelligent virtual assistants industry. This intelligent virtual assistants 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 intelligent virtual assistant market size grew from $9.61 billion in 2022 to $13.64 billion in 2023 at a compound annual growth rate (CAGR) of 41.9%. 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 intelligent virtual assistant market size is expected to grow to $44.34 billion in 2027 at a CAGR of 34.3%. The increasing demand for self-service options is driving the growth of the intelligent virtual assistant market. Self-service is a practice in which consumers access resources to solve problems on their own without the assistance of a service agent. Self-service grew alongside growing digital technologies as customers become more accustomed to shopping and chatting online. Self-service solutions are now available in almost every business, allowing customers to take a more active role in their journey. As the demand increases for self-service options, there will be an increase in the need to offer automated yet personalized chat service options to customers which are mostly provided through the implementation of intelligent virtual assistants. For instance, according to a recent survey in 2021 by OnePoll, a UK-based survey-led company, 58% of customers stated that they will continue to have more digital interactions in the future than they had before the COVID-19 pandemic as they were impressed by the quick, easy issue resolution received through digital channels, wherein, an intelligent virtual assistant is a critical component of digital self-service success. Therefore, the rising demand for self-service options drives the growth of the intelligent virtual assistant market. Technological advancement is a key trend gaining popularity in the intelligent virtual assistant market. Major companies operating in the intelligent virtual assistant market are focused on developing new technological solutions for intelligent virtual assistants such as user preferences and privacy features to strengthen their position in the market. These technologically advanced features in intelligent virtual assistants offer better accuracy and output, are easy to use, and protect the privacy of users. For instance, in June 2020, Google, Inc., a US-based technology company announced additional features for its artificial intelligence-based voice assistant ‘Google Assistant’. The main new feature includes voice match which allows smart speakers to recognize the voice of a specific user and personalize responses. In addition, in April 2022, Skoda Auto AS, a Czech Republic-based company mainly operating in motor vehicle manufacturing announced the expansion of its conversational AI solution ‘Laura’ to cover new European regions. Laura is an intelligent chatbot offering customers valuable information and helping in the process of new ŠKODA vehicle selection. It will be deployed in the respective native language, allowing for deeper levels of engagement and communication with customers across Europe. In October 2021, Accenture, a US-based leading global information technology company in the cloud, artificial intelligence, and telecom services acquired Umlaut for an undisclosed amount. As a result of this acquisition, Accenture's deep engineering capabilities will be greatly expanded to assist organizations to employ digital technologies such as cloud, artificial intelligence, and 5G to alter how they design, create, and manufacture products while also embedding sustainability. Umlaut adds more than 4,200 industry-leading engineers and consultants to Accenture's Industry X services, broadening the company's capabilities in areas such as automotive, aerospace and military, telecommunications, energy, and utilities. Umlaut is a German-based engineering consulting and services firm. Major players in the intelligent virtual assistant market are Amazon.com Inc., Apple Inc., IBM Corporation, Nuance Communications Inc., Alphabet Inc., Inbenta Technologies Inc., Microsoft Corporation, Baidu Inc., BlackBerry Ltd., Artificial Solutions, EGain Corporation, IPsoft Inc (Amelia), Avaamo, Alibaba Group, Xiaomi Inc and Oracle. North America was the largest region in the intelligent virtual assistants market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the intelligent virtual assistants market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the intelligent virtual assistants market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The intelligent virtual assistant market includes revenues earned by entities by providing services such as lead qualification, meetings scheduling, data entry, pipeline management, pre and post-event outreach. 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 global intelligent virtual assistant market is segmented - 1) By Product: IVA (Intelligent Virtual Assistant) Smart Speaker, Chatbots 2) By User Interface: Text-To-Text, Text-To-Speech, Automatic Speech Recognition 3) By End User: Retail, BFSI, Healthcare, Telecom, Other End Users

Conversational AI is a type of artificial intelligence that allows users to engage with computer applications such as advanced chatbots or AI chatbots similar to the way they would interact with other humans. The conversational artificial intelligence (AI) is used to respond to queries, resolve issues, collect information, conduct transactions, and deliver services more quickly and efficiently. The main types of conversational AI include IVA and chatbots. IVAs are intelligent virtual assistants that are used to find the necessary information or accomplish tasks depending on particular user information, prior discussions, and their location. The different conversational AI components include platforms and services. The deployment types include cloud and on-premise. The conversational AI technologies include machine learning, deep learning, NLP and automated speech recognition, used by end-users such as BFSI, retail and e-commerce, healthcare and life science, travel and hospitality, telecom, media and entertainment and other end-users. The conversational AI market research report is one of a series of new reports from The Business Research Company that provides conversational AI market statistics, including conversational AI industry global market size, regional shares, competitors with a conversational AI market share, detailed conversational AI market segments, market trends and opportunities, and any further data you may need to thrive in the conversational AI industry. This conversational AI 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 conversational ai market size grew from $7.86 billion in 2022 to $9.73 billion in 2023 at a compound annual growth rate (CAGR) of 23.8%. 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 conversational ai market size is expected to grow to $22.07 billion in 2027 at a CAGR of 22.7%. Increasing focus on customer engagement is expected to drive the conversational AI market. Customer engagement is the process of communicating with customers through various channels to strengthen relationships. Most businesses are focusing on increasing the customer experience to increase customer loyalty and revenue generation. According to the 2022 State of Customer Engagement Report published by Twilio, a US-based customer engagement platform for customized experiences, companies that invested in digital client engagement had revenue growth of 70% over the past two years. Conversational AI involves the use of messaging apps, speech-based assistants, and chatbots to automate conversation and provide personalized consumer engagement. Therefore, increasing focus on customer engagement will drive the conversational AI market. Technological advancements in conversational AI are a key trend in the market. Companies operating in the conversational AI market have come up with various technological advancements such as no-code development technology, easier deployment, advanced machine learning and natural language processing technology to increase usage and adoption of conversational AI in industries with no technical background. For instance, in November 2021, ZeroShotBot, a chatbot builder based in the United States, released a new innovative conversational AI technology that democratizes chatbots for both large and small organizations. ZeroShotBot is an approach to constructing chatbots that can be scalable in hours and do not require training data, allowing anyone with no coding knowledge or training to create a fully functional chatbot. In March 2022, Microsoft Corporation, a US-based software company, acquired Nuance Communications Inc for a $19.7 billion deal. With this acquisition, Microsoft aims to boost its AI and cloud capabilities. This deal brings Nuance’s conversational AI and ambient intelligence with Microsoft’s secure and trusted industry cloud offerings. Nuance Communications Inc is a US-based software company that provides conversational AI and ambient intelligence across the healthcare, financial services, retail and telecommunications industries. Major players in the conversational ai market are Google Inc., IBM Corporation, Amazon Web Services Inc., Artificial Solutions Holding ASH AB, Baidu Inc., Microsoft Corporation, Oracle Corporation, SAP ERP, Kore.ai Inc., Jio Haptik Technologies Limited, Conversica Inc., Rasa Technologies Inc., Solvvy, Saarthi.ai, Exceed.ai, Mindsay, and FIS. North America was the largest region in the conversational AI market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in conversational AI market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the conversational AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The conversational artificial intelligence (AI) market consists of revenues earned by entities by providing machine learning and natural language processing. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global conversational ai market is segmented - 1) By Type: IVA, Chatbots 2) By Component: Platform, Services 3) By Deployment: Cloud, On-Premises 4) By Technology: Machine Learning, Deep Learning, NLP, Automated Speech Recognition 5) By End User: BFSI, Retail and E-commerce, Healthcare and Life Science, Travel and Hospitality, Telecom, Media and Entertainment, Other End-Users

Information technology (IT) is the use of computers, storage, networking and other physical devices, infrastructure and processes to create, process, store, secure and exchange all forms of electronic data. The main type of information technology (IT) are IT services, computer hardware, telecom, and software products. Computer hardware is the physical components that a computer system requires to function and encompasses everything within a PC or laptop. The services are used by large, small, and medium enterprises of financial services, retail and wholesale, manufacturing, healthcare and others. The information technology (IT) market research report is one of a series of new reports from The Business Research Company that provides information technology (IT) market statistics, including information technology (IT) industry global market size, regional shares, competitors with information technology (IT) market share, detailed information technology (IT) market segments, market trends and opportunities, and any further data you may need to thrive in the information technology (IT) industry. This information technology (IT) 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 information technology market grew from $8179.48 billion in 2022 to $8852.41 billion in 2023 at a compound annual growth rate (CAGR) of 8.2%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The information technology market is expected to grow to $11995.97 billion in 2027 at a CAGR of 7.9%. The demand for cloud computing services is expected to drive the demand for IT services during the forecast period. In the cloud computing model, data is stored on the internet by a cloud computing provider, who manages and operates data storage as a service. Many companies are now choosing applications hosted in the cloud for their day-to-day operations. For example, according to statistics provided by hostingtribunal.com, 60% of computing workloads were running in the public cloud in 2019. Similarly, 94% of enterprise workloads are expected to be processed by cloud data centers in 2021. Companies are also opting for cloud-based data storage, thus boosting the demand for IT services. The outbreak of COVID-19 disease (COVID-19) has acted as a significant restraint on the information technology market in 2020 as supply chains were disrupted due to trade restrictions and employees working for these establishments faced difficulties related to infrastructure and communication owing to lockdowns imposed by governments globally, forcing them to work from home. COVID-19 is an infectious disease with flu-like symptoms including fever, cough, and difficulty in breathing. The virus was first identified in 2019 in Wuhan, Hubei province of the People’s Republic of China and spread globally, including Western Europe, North America, and Asia. Steps by national governments to contain the transmission have resulted in a decline in economic activity, with countries entering a state of 'lock down,' and the outbreak had a negative impact on businesses throughout 2020 and into 2021. However, it is expected that the information technology market will recover from the shock across the forecast period as it is a 'black swan event and not related to ongoing or fundamental weaknesses in the market or the global economy. Over the past five years there has been an increasing prevalence of low cost open source alternatives. Open source has become a preferred platform for developing new technology. In the past, software publishers would open source software that was not making money, but now companies are open sourcing software to increase their presence and share in the market. Supabase, a YC-incubated startup that offers developers an open-source alternative, announced that it had raised a $6 million in funding to create new open-source tools. Major companies in the information technology (IT) market include Apple, Microsoft, Verizon Communications, China Mobile, AT&T Inc., Huawei, Deutsche Telekom AG, Dell Technologies Inc., Samsung Electronics Co., Ltd. and Comcast Corporation. Asia-Pacific was the largest region in the information technology (IT) market in 2022. North America was the second largest region of the information technology market. The regions covered in the information technology market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the information technology (IT) market are Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela and Vietnam. Major companies in the information technology (IT) market include Apple, Microsoft, Verizon Communications, China Mobile, AT&T Inc., Huawei, Deutsche Telekom AG, Dell Technologies Inc., Samsung Electronics Co., Ltd. and Comcast Corporation. Asia-Pacific was the largest region in the information technology (IT) market in 2022. North America was the second largest region of the information technology market. The regions covered in the information technology market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the information technology (IT) market are Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela and Vietnam. The information technology (IT) market consists of revenues earned by entities by providing IT services such as computer networking, broadcasting, systems design services and information distribution technologies like television and telephones and other equipment used during the process. The market value includes the value of related goods sold by the service provider or included within the service offering. The information technology market also includes sales of computers, computer peripherals and telecommunications equipment which are used in providing IT services. 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 global information technology market is segmented - 1) By Type: IT Services, Computer Hardware, Telecom, Software Products 2) By Organization Size: Large Enterprise, Small and Medium Enterprise 3) End User Industry: Financial Services, Retail & Wholesale, Manufacturing, Healthcare, Other End User Industries Subsegments Covered: Hardware Support Services, Software And BPO Services, Cloud Services, Computer Peripheral Equipment, Computer Storage Devices And Servers, Computers, Wireless Telecommunication Carriers, Wired Telecommunication Carriers, Communications Hardware, Satellite & Telecommunication Resellers, Operating Systems & Productivity Software Publishing, Database, Storage & Backup Software Publishing, Business Analytics & Enterprise Software, Video Game Software, Design, Editing & Rendering Software