Global Gesture Recognition Market

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

Surveillance technology means an electronic device or system that has the ability to monitor and collect audio, vision, location, heat, or similar information about an individual or group. The main types of surveillance technology market are video surveillance, big data, police body cameras, biometrics, domestic drones, face recognition technology, RFID chips, and stingray tracking devices. Biometrics are behavioural and physical human characteristics that can be used to digitally identify an individual in order to grant access to systems, devices, or data. The technology is stored on-premise and in the cloud and is used by the BFSI, government, healthcare, manufacturing, retail, IT, telecommunications, media, entertainment, and education industries. The surveillance technology market research report is one of a series of new reports from The Business Research Company that provides surveillance technology market statistics, including surveillance technology industry global market size, regional shares, competitors with a surveillance technology market share, detailed surveillance technology market segments, market trends and opportunities, and any further data you may need to thrive in the surveillance technology industry. This surveillance technology 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 surveillance technology market size will grow from $130.08 billion in 2022 to $148.29 billion in 2023 at a compound annual growth rate (CAGR) of 14.0%. 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 surveillance technology market size is expected to grow to $234.72 billion in 2027 at a CAGR of 12.2%. The rise in need for safety in high-risk areas contributed to the growth of the surveillance technology market. The crime rate is increasing globally, and the rate of increase is varying across different countries. The surveillance technology is used to monitor the behaviour, activities or information to reduce the risk of crime. For instance, China uses 200 million cameras for public safety. According to the World Population Review, the crime index is 37 for 1.4 billion population in China. A review conducted by Cornell University, sponsored by Campbell Collaboration, the use of surveillance cameras resulted in a 51% decrease in crimes committed in parking lots and a 23% decrease in crime on public transportation in New York. The rise in need for safety in high-risk areas drove the surveillance technology market. Growing concern regarding privacy may limit the growth of the surveillance technology market. Surveillance means to monitor people in various possible ways. An organization monitoring customer sometimes leads to the loss of privacy data or any other important confidential data. Surveillance technology can provide opportunities for criminal, personal, and institutional abuse. Surveillance systems are being used by the camera operators to spy people, and eventually, blackmail using the videos from the surveillance system databases. In a few instances, these tools were used to stalk women, threaten motorists after traffic altercations, discriminatory targeting, and track estranged spouses. Therefore, growing concerns regarding the privacy hamper the growth of the surveillance technology market Artificial Intelligence (AI) is increasingly being implemented in the surveillance technology market. Artificial intelligence in surveillance technology is to analyze what is happening in the video. For instance, an application and web platform named Ella developed by IC Realtime uses the most advanced algorithms to analyze the most important events in the video from CCTV footage or video feeds. In most of the video monitoring systems, we cannot search for a particular event. Ella has a smart search option to search for important events in the videos recorded. It can recognize hundreds of natural language queries. Therefore, the use of artificial intelligence, which is a new trend in the surveillance technology market, is likely to provide growth opportunities to this market. In December 2020, the ACRE, an electronic security systems and components manufacturer acquires Razberi Technologies, a Texas-based provider of video surveillance solutions, for an undisclosed amount. The acquisition was aimed towards strengthening the video and communications businesses along with the video surveillance product portfolio of ACRE. Major players in the surveillance technology market are AxxonSoft, Milestone, Genetec, ExacqVision, Qognify, March Networks, Verint Systems, Magal Security Systems Ltd., Identiv, Panasonic Corporation, Salient Systems Corporation., OnSSI, Avigilon, DVTEL, and Lensec. Asia-Pacifica was the largest region in the surveillance technology market in 2022. North America was the second largest region in the global surveillance technology market. The regions covered in the global surveillance technology market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The surveillance technology market includes revenues earned by entities by providing surveillance solutions that are used to monitor a place, person or object in a particular geographical location. Surveillance systems are utilized for monitoring activities of workers, traffic and potentially illegal activities. Surveillance technology includes surveillance systems based on video, audio or biometrics. 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 countries covered in the surveillance technology market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The global surveillance technology market is segmented - 1) By Technology: Video Surveillance, Big Data, Police Body Cameras, Biometrics, Domestic Drones, Face Recognition Technology, RFID Chips, Stingray Tracking Devices 2) By storage: On premise, Cloud 3) By End user: BFSI, Government, Healthcare, Manufacturing, Retail, IT & Telecommunication, Media and Entertainment, Education

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 (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 (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

A smartphone/tablet games refer to the game designed for mobile devices, such as smartphones and tablets. The main types of smartphone/tablet are shooter, action, sports games, role-playing, adventure, racing, fighting, strategy, others. A role-playing game is a game in which gamers take on the responsibilities of fictional characters. The different applications include iOS user, android user. The smartphone/tablet games market research report is one of a series of new reports from The Business Research Company that provides smartphone/tablet games market statistics, including smartphone/tablet games industry global market size, regional shares, competitors with a smartphone/tablet games market share, detailed smartphone/tablet games market segments, market trends and opportunities, and any further data you may need to thrive in the smartphone/tablet games industry. This smartphone/tablet games 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 smart phone/tablet games market size will grow from $65.52 billion in 2022 to $79.76 billion in 2023 at a compound annual growth rate (CAGR) of 21.7%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global smart phone/tablet games market size is expected to grow to $165.5 billion in 2027 at a CAGR of 20.0%. Rapid increase in the availability of affordable gaming smartphones/tablets in the market is supporting the smartphones/tablet gaming industry. The new affordable gaming mobile/tablet devices are better than the previous generation devices in terms of cost and performance that makes the games run in better FRP (Frames Per Second) providing an enhanced gaming experience. For example, many Chinese smartphones have entered into the market under $500 range which are offering technologically advanced gaming experience like Xiomi Mi 8 Pro ($469), Xiomi Mi 8 ($389), Xiomi Pocophone F1 ($319), Honor 9 ($320) and others. The major roadblock to this booming industry is the illegal downloads and pirated versions of the games, thereby causing serious concerns for the original developers of the game. The revenue loss is significantly high due to illegal downloads, as people never pay to the original developers of the game. For example, Subway Surfers, one of the most popular games may have lost close to $91 million due to pirated versions. Augmented Reality (AG) and Virtual Reality (VR) are the two new technologies that are positively impacting the smartphone/tablet games market. Both the technologies offer exciting gaming experiences to the users. Augmented reality gaming combines visual and audio content with the user's current environment in real time, thereby making them enjoy the unique gaming experience. Whereas the Virtual reality games apply three-dimensional (3-D) artificial environment to the computer games. These two technologies have been appreciated by the gaming community, proven by the rise in AR and VR based games downloads. For example, In November 2021, Niantic announced opening its Lightship AR platform to the developers. It is mainly offering the Lightship Augmented Reality Developer Kit to developers who want to create real-world metaverse concepts. In October 2021, Zynga, a US-based social game developer acquired StarLark for an undisclosed amount. This acquisition will expand Zynga’s international presence by establishing it in China with access to the creative talent pool. StarLark is a China-based Mobile Game Developer. Major players in the smartphone/tablet games market are Tencent Hold, Sony, Electronic Arts, Nintendo, Netmarble, CyberAgent, Mixi, Zynga, Supercell, Machine Zone, King Digital Entertainment, Com2uS, Niantic, Bandai NamCo., Nexon, Square Enix, Warner Bros, Pocket Games, Playrix, IGG, Miniclip, NCSOFT, Peak Games, Jam City, NetEase, Glu Mobile, Gameloft, Rovia, Ubisoft and Epic Games. Asia-Pacific was the largest region in the smartphone/tablet games market in 2022. North America was the second largest region of the global smart phone/tablet games market. The regions covered in the global smartphone/tablet games market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the smartphone/tablet games market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The smartphone/tablet games market consists of sales of games that can only be played on smartphones or tablets. The revenue for these companies is generated from the in-app purchases, in-game advertisements (such as google AdSense, Ad-Mob, Media.net etc.), sponsorships and sales of merchandise. The main types of smartphone/tablet games are shooter, action, sports games, role-playing, adventure, racing, fighting, strategy and others. A shooter game are the action video games where the focus is almost entirely on the defeat of the character's enemies using the weapons given to the player. The devices used include smartphone and tablet and used by iOS user and android user. 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 smartphone/tablet games market is segmented - 1) By Game Type: Shooter, Action, Sports Games, Role-Playing, Adventure, Racing, Fighting, Strategy, Other Game Types 2) By Application: iOS User, Android User

The fingerprint sensor is a type of sensor that is used in a fingerprint detection device to detect fingerprints for biometric authentication to grant the user access to certain information or entry/exit. They are majorly used for their accuracy, better performance, and robustness based on exclusive fingerprint biometric technology. Fingerprint sensors are used in authentication processes. The main types in the fingerprint sensor market are area and touch sensors and swipe sensors. The area and touch sensors capture and record the image of the finger that is placed over the sensor. The different technologies include capacitive, optical, thermal, and ultrasonic and involve various sensor technologies such as 2D and 3D technology. These are used in various applications such as consumer electronics, government and law enforcement, military, defense, and aerospace, travel and immigration, banking and finance, commercial, healthcare, smart homes, and others. The fingerprint sensor market research report is one of a series of new reports from The Business Research Company that provides fingerprint sensor market statistics, including fingerprint sensor industry global market size, regional shares, competitors with a fingerprint sensor market share, detailed fingerprint sensor market segments, market trends and opportunities, and any further data you may need to thrive in the fingerprint sensor industry. This fingerprint sensor 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 fingerprint sensor market size grew from $4.92 billion in 2022 to $5.9 billion in 2023 at a compound annual growth rate (CAGR) of 19.9%. 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 fingerprint sensor market size is expected to grow to $11.55 billion in 2027 at a CAGR of 18.3%. The high adoption of biometrics by governments is significantly contributing to the growth of the fingerprint sensor market. In offices, fingerprint sensors are crucial for biometric identification and attendance monitoring. Governments across the world are now adopting fingerprint sensors into their use. For instance, according to the Biometric Update, a US-based online source that provides information about the global biometrics sector, in October 2020, police units in the UK adopted mobile fingerprint scanners to use on the streets. This will help the police to fetch the identity of the suspect within 60 seconds if the fingerprint matches the fingerprints that are already in police databases. The INK Biometrics mobile biometric solution will be used with crossmatch fingerprint sensor device. Therefore, the high adoption of biometrics by governments is expected to propel the growth of the fingerprint sensor market going forward. Technological advancement is a key trend gaining popularity in the fingerprint sensor market. Major companies operating in the fingerprint sensor sector are focused on developing new technological solutions to meet consumer demand and strengthen their position. For instance, SecuGen Corporation, a US-based optical fingerprint technology company, launched fingerprint reader Hamster Pro 30 and OEM sensor U30. The FBI has certified SecuGen's new contact fingerprint reader and sensor is used in FIPS 201 PIV and Mobile ID FAP 30 applications. In September 2022, ASSA ABLOY, a Sweden-based provider of safe and secure doorways, acquired Control iD for an undisclosed amount. This acquisition of Control ID will fill multiple gaps of ASSA ABLOY by integrating biometric technologies, especially facial recognition. Control iD is a Brazil-based developer of hardware and software solutions for access control, fingerprint sensor and time and attendance. Major players in the fingerprint sensor market are Cogent Systems Inc., Anviz Global, Apple Inc., Egis Technology Inc., Fingerprint Cards, Shenzhen Goodix Technology Co. Ltd., Idex Biometrics ASA, NEC Corporation, NEXT Biometrics Group ASA, Qualcomm Technologies Inc., Synaptics Incorporated, BIO-key International, Crucialtec, Hid Global Corporation, M2SYS Technology, Novatek Microelectronics and Secugen Corporation. Asia-Pacific was the largest region in the fingerprint sensor market in 2022. The regions covered in the fingerprint sensor market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the fingerprint sensor market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The fingerprint sensor market consists of sales of optical fingerprint sensors, capacitive fingerprint sensors, thermal fingerprint sensors, and other fingerprint sensors. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global fingerprint sensor market is segmented - 1) By Type: Area And Touch Sensors, Swipe Sensors 2) By Technology: Capacitive, Optical, Thermal, Ultrasonic 3) By Sensor Technology: 2D, 3D 4) By Application: Consumer Electronics, Government And Law Enforcement, Military, Defense, And Aerospace, Travel And Immigration, Banking And Finance, Commercial, Healthcare, Smart Homes, Other Applications

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 autonomous commercial vehicle market research report is one of a series of new reports from The Business Research Company that provides autonomous commercial vehicle market statistics, including global market size, regional shares, competitors with an autonomous commercial vehicle market share, detailed autonomous commercial vehicle market segments, market trends and opportunities, and any further data you may need to thrive in the autonomous commercial vehicle industry. This autonomous commercial vehicle market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry. The global autonomous commercial vehicle market 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 global autonomous commercial vehicle market size 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 autonomous commercial vehicles over the forthcoming years. Increasing concerns for cybersecurity and data privacy acts as a major challenge for the autonomous commercial vehicles market. According to a report on issues in autonomous vehicle testing and deployment published by the Congressional Research Service, the USA's policy institute in February 2020, with advances in technology, the concerns for data security and protection of the on-board system against intrusion are increasing. The inbuilt automated components in the vehicle generate a large amount of data about the vehicle, vehicle performance, driver behavior, and precise location. The protection of autonomous vehicles from hackers is of paramount concern to state and federal governments, service providers, manufacturers, and users. Therefore, with advancements in technology, the concerns for data privacy and security are increasing, which, in turn, is likely to act as a major restraint for the growth of the autonomous commercial vehicle market. The 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. Major players in the autonomous commercial vehicle market are Volkswagen, Daimler, Tesla, Denso, Continental, Waymo, BMW AG, Isuzu Motors Limited, General Motors, and AB Volvo. Asia-Pacific was the largest region in the autonomous commercial vehicle market in 2022. North America was the second largest region in the global autonomous commercial vehicle market. The regions covered in the global autonomous commercial vehicle market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the autonomous commercial vehicle market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, USA. The 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 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