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 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 chips are specific computer chips designed to achieve high efficiency and speed for computations related to AI at the expense of low efficiency and speed for other calculations and that is used for assisting clients in obtaining business insights at scale across banking, finance, trading, insurance applications, and client engagements. The main types of artificial intelligence chips are GPU, ASIC, FPGA, CPU, and other chip types. A GPU provides the fastest graphics processing, and for gamers, the GPU is a stand-alone card plugged into the PCI Express (PCIe) bus. The processing types include edge and cloud. The technologies involved system-on-chip (soc), system-in-package (sip), multi-chip module, and other technologies. The applications are natural language processing (NLP), robotics, computer vision, network security, and other applications. The various industries include media and advertising, BFSI, IT and telecom, retail, healthcare, automotive and transportation, and other industries. The artificial intelligence chips market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence chips market statistics, including artificial intelligence chips industry global market size, regional shares, competitors with an artificial intelligence chips market share, detailed artificial intelligence chips market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence chips industry. This artificial intelligence chips 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 chip market size grew from $15.65 billion in 2022 to $23.29 billion in 2023 at a compound annual growth rate (CAGR) of 48.8%. 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 artificial intelligence chip market size is expected to grow to $88.85 billion in 2027 at a CAGR of 39.8%. An increase in demand for smart homes and smart cities is expected to propel the growth of the artificial intelligence chip market going forward. A "smart city" refers to a city that uses digital or information-communication technology to improve the comfort and efficiency of human life. One strategy for urbanisation that aims to achieve sustainable growth is making cities equipped with cutting-edge features for residents to live, walk, shop, and enjoy a safer and more convenient existence. For instance, in March 2022, according to an article shared by Arab News, a Middle East English-language daily newspaper, Saudi Arabia launched a new smart city project in Jeddah for light industries and auto repair, opening the first two stages of the city, the second of which is a 500,000 square metre labour city. A total of 5 million square metres is covered by the Smart City initiative. Further, According to Saudi Vision 2030, a Saudi Arabia-based strategic framework, the city is distinguished by an interconnected infrastructure and the application of digital and smart technology to offer automated services to customers. Therefore, the increase in demand for smart homes and smart cities is driving the growth of artificial intelligence chips. Technological advancement is a key trend gaining popularity in the artificial intelligence chip market. Major companies in the artificial intelligence chip market are advancing in their new technologies and research and developments in the artificial intelligence chip market, such as the NVIDIA A100 chips to streamline AI training and inference and improve efficiency. For instance, in May 2020, NVIDIA, a US-based company that specialises in the development and production of chipsets, processors, and related multimedia software for computers operating in the artificial intelligence chip market, launched the EGX A100 and EGX Jetson. The first edge AI product based on the NVIDIA Ampere architecture is the EGX A100. The EGX Jetson is the world’s smallest and most powerful AI supercomputer for microservers, and the product has unique features such as providing high-performance, secure AI processing at the edge. There are two models: the EGX A100 for bigger commercial off-the-shelf servers and the compact EGX Jetson Xavier NX for micro-edge servers. Hospitals, shops, farms, and factories can process and secure the enormous volumes of data pouring from trillions of edge sensors with the NVIDIA EGXTM Edge AI platform. In January 2020, Apple Inc., a US-based multinational technology acquired Xnor.ai for a deal of $ 200 million. Through this acquisition, Apple Inc aims to strengthen its product portfolio in artificial intelligence-enabled image recognition tools. Xnor.ai is a US-based software company. Major players in the artificial intelligence chip market are Intel Corporation, Mediatek Inc., NVIDIA Corporation, Qualcomm Technologies Inc., Advanced Micro Devices Inc., Alphabet Inc., NXP Semiconductors N.V, Micron Technology Inc., IBM Corporation, Apple Inc., Huawei Technologies Co. Ltd., Mythic Inc., Samsung Electronics Co. Ltd., LG Corporation, and Google LLC. North America was the largest region in the artificial intelligence market in 2022. The regions covered in this 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 artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The artificial intelligence chips market consists of sales of application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), central processing units (CPUs), and GPUs. 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 artificial intelligence chip market is segmented - 1) By Chip Type: GPU, ASIC, FPGA, CPU, Other Chip Types 2) By Processing Type: Edge, Cloud 3) By Technology: System-On-Chip (SoC), System-In-Package (SIP), Multi-Chip Module, Other Technologies 4) By Application: Natural Language Processing (NLP), Robotics, Computer Vision, Network Security, Other Applications 5) By Industry: Media and Advertising, BFSI, IT and Telecom, Retail, Healthcare, Automotive and Transportation, Other Industries

A software product is a software system that is eligible for being delivered to its customer with documentation that explains how to install and use the system. The main types of software products are operating systems and productivity software publishing, database, storage and backup software publishing, business analytics and enterprise software, video game software, and design, editing & rendering software. Business analytics and enterprise software tools are types of application software that retrieve data from one or more business systems and combine it in a repository, such as a data warehouse, to be reviewed and analyzed. Enterprise software is computer software used to satisfy the needs of an organization rather than individual users. The software products have applications in large enterprises and small and medium enterprises. The various end-user industries are BFSI, media and entertainment, IT and telecommunications, energy and utilities, government and public sector, retail and consumer goods, manufacturing and others. The software products market research report is one of a series of new reports from The Business Research Company that provides software products market statistics, including software products industry global market size, regional shares, competitors with a software products market share, detailed software products market segments, market trends and opportunities, and any further data you may need to thrive in the software products industry. This software products 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 software products market grew from $1333.48 billion in 2022 to $1500.2 billion in 2023 at a compound annual growth rate (CAGR) of 12.5%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The software products market is expected to grow to $2357.31 billion in 2027 at a CAGR of 12.0%. IoT technology adoption by manufacturing and transportation services companies is expected to drive the software products market in the forecast period. IoT is a network of physical objects such as devices, vehicles, buildings and other items which are embedded with electronics, software, sensors and network connectivity enable these objects to collect and exchange data. For instance, Microsoft and Rolls-Royce have announced a partnership centering on future Rolls-Royce intelligent engines, which will integrate Microsoft Suite into its service solutions to expand its digital capabilities. According to International Data Corporation (IDC), global spending on IoT was around $1.4 trillion in 2021; this includes hardware, software and services for IoT technologies. Thus, IoT technology adoption is expected to expand the demand for software products. The software products market is expected to be limited due to high competition in terms of pricing, product portfolio and other factors from market competitors and new entrants in the market during the forecast period. Existing players in the market are offering a wider range of products at competitive process to increase their customer base and boost revenues. A large number of start-up companies are also developing innovative products. As most of these start-ups are funded by venture capital companies, they have sufficient capital for the research and development of new software products. Furthermore, the increase in competitors in the market is likely to result in price-wars. This would affect the sales of companies, resulting in lower revenues and profit margins. These price-wars further affect the funding available for research and development projects, this limits the launch of new products, thereby having a negative impact on the market growth. Top software vendors such as Oracle and SAP have been attempting to penetrate the middle market, to expand their client base, and increase overall revenues. These companies have begun offering scaled-down, pre-configured versions of their applications. They are pursuing new distribution channels to sell and distribute their software products and are also acquiring mid-market software companies to increase their market shares and revenues. For example, SAP acquired Business One software to penetrate the middle market. Major companies in the software products market include Microsoft, Oracle Corp, Google, salesforce.com, Tencent Holdings Co Ltd., International Business Machines Corporation, Adobe Systems Incorporated, Nintendo Co Ltd., Fiserv, Inc. and Sony Corp. Asia-Pacific was the largest region in the software products market in 2022. North America was the second largest region of the software products market. The regions covered in the software products market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the software products 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 software products market includes revenues earned by entities by developing and distributing software products for commercial and personal use. Software products are usually sold in the form of licenses to use the software for a specified period or permanently. The license generally entitles the buyer to receive updates of the programs. Companies in this industry create and distribute computer software by designing software, providing documentation, assisting in installation and providing support services to software purchasers. Some businesses design, develop and publish; others only publish. The market value does not include revenues generated from Software as a Service (SaaS). 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 software products market is segmented - 1) By Type: Operating Systems & Productivity Software Publishing, Database, Storage & Backup Software Publishing, Business Analytics & Enterprise Software, Video Game Software, Design, Editing & Rendering Software 2) By Application: Large Enterprises, Small And Medium Enterprises 3) By End-User Industry: BFSI, Media And Entertainment, IT and Telecommunications, Energy And Utilities, Government And Public Sector, Retail And Consumer Goods, Manufacturing, Other End User Industries Subsegments Covered: Operating Systems, Productivity Software Publishing, Database Software, Middleware Software, Storage And Backup Software, ERP Software, BI Software, CRM Software, SCM Software, Other Software, Browser Games, PC Games, Smart Phone/Tablet Games, Console Games, Engineering Design Software, Animation And VFX Design Software, Image/Video Editing And Graphic Design Software

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

AI in pharma refers to the use of automated algorithms to jobs that normally need human intelligence. Large datasets including disease patterns can be successfully identified by AI solutions in pharma, and they can also assist in understanding which medication formulations would be most effective for treating certain ailments. The artificial intelligence (AI) in the pharma market covered in the report is segmented by technology into context-aware processing, natural language processing, querying method, and deep learning; by drug type into the small molecule, large molecules; by application into diagnosis, clinical trial research, drug discovery, research and development, epidemic prediction. The artificial intelligence (AI) in pharma market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in pharma market statistics, including artificial intelligence (AI) in pharma industry global market size, regional shares, competitors with artificial intelligence (AI) in pharma market share, detailed artificial intelligence (AI) in pharma market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in pharma industry. This artificial intelligence (AI) in pharma 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 AI in pharma market size grew from $1.24 billion in 2022 to $1.64 billion in 2023 at a compound annual growth rate (CAGR) of 32.8%. 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 AI in pharma market size is expected to grow to $4.61 billion in 2027 at a CAGR of 29.4%. The growing adoption of artificial intelligence (AI) for clinical trials research is driving its demand for AI in the pharmaceutical market. To bring a new drug to the market takes on an average 10–15 years approximately and half of this time is consumed during the clinical trial phases of the drug development cycle. Hence, using AI models and analytics tools can accelerate the clinical trial phases, perception of diseases, identify suitable cases and key investigators to inform site selection, and support novel clinical study designs. For instance, in January 2020, Pfizer, an American pharmaceutical company, tied up with a biotech startupInsilico Medicine to identify drug targets. With AI tools Pfizer can speed up drug discovery and reduce drug development costs in the drug development processes. Thus, increasing the adoption of AI for clinical trials research is driving AI in the pharma market. A lack of skilled professionals may hamper the growth of artificial intelligence in the pharma market. In 2022, according to the report published by UNLEASH, a UK-based digital media platform, IBM, and Morning Consult conducted surveys of more than 1,000 tech job seekers, more than 600 tech workers, and more than 300 tech recruiters in the UK, Spain, and Germany to determine the AI skills gap in Europe and found around 28% of recruiters report having difficulty locating candidates with deep learning, machine learning, and data engineering and analytics experience. The shortage of AI skills is seen as a major barrier to the pace of technology’s adoption. In fact, 56% of senior AI professionals thought that a lack of additional, qualified AI workers was the single most important hurdle to be overcome in terms of obtaining the necessary level of AI implementation beyond business operations. Therefore, the lack of skilled professionals may hamper the growth of AI in the pharma market. Companies operating in the AI for the pharma market are introducing new AI tools that will be beneficial for the pharma companies and this is a key trend in AI in the pharma market. AI helps in quality control, predictive maintenance, waste reduction, design optimization, and process automation. For instance, in August 2022, Sanford Health, a US-based non-profit, integrated healthcare delivery system,and Sharp HealthCare, a US-based non-profit organization in healthcarepartnered with Dandelion Health, a US-based healthcare artificial intelligence (AI) company, introduced a comprehensive data platform that gives health institutions access to high-quality, representative patient data for clinical AI development. The Dandelion Platform is made to give health AI developers secure, ethical access to patient datasets which includes include images, waveforms, and structured health records, so they may make tools and products that will help patients and clinicians. In October 2021, Nurosene Health Inc., a Canada-based company focused on delivering innovative AI-based technology solutions that support mental performance and wellness acquired Netramark Incorporated for an undisclosed amount. Through this acquisition, Nurosene Health Inc aims to strengthen its capabilities in AI-based neuroscience product offerings. Netramark Incorporated is a Canada-based pharma tech company that utilizes AI, novel mathematical methods, and quantum computing to optimize new drug development, clinical trials, treatment, and diagnosis. Major players in the AI in pharma market are Novartis, IBM Watson, Microsoft Corporation, Merck, GNS Healthcare., Google, AstraZeneca, Atomwise, Inc., Exscientia, and Cyclica. North America was the largest region in the AI in pharma market in 2022. The regions covered in the AI in pharma market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the AI in pharma market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The AI in pharma market includes revenues earned by entities by implementing quality control, addressing supply chain problems in the production line, and minimising material waste. 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 ai in pharma market is segmented - 1) By Technology: Context-Aware Processing, Natural Language Processing, Querying Method, Deep Learning 2) By Drug Type: Small Molecule, Large Molecules 3) By Application: Diagnosis, Clinical Trial Research, Drug Discovery, Research and Development, Epidemic Prediction

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

Blockchain is a decentralized network of computers that records and stores data to display a chronological series of events on a transparent and immutable ledger system. Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed so that machines can think like humans and mimic their actions. Blockchain AI convergence is inevitable because of both the technology with data and value. Blockchain enables secure storage and sharing of data whereas AI can analyze and generate insights from data to generate value. The main types of technologies used in blockchain AI are computer vision, machine learning (ML), and natural language processing (NLP). The blockchain AI is implemented in different verticals such as BFSI, telecom and IT, healthcare and life science, manufacturing, media and environment, automotive, and other sectors and is applied in smart contract, payment, data security, logistics and supply chain management, and business process optimization. The blockchain AI market research report is one of a series of new reports from The Business Research Company that provides blockchain AI market statistics, including blockchain AI industry global market size, regional shares, competitors with a blockchain AI market share, detailed blockchain AI market segments, market trends and opportunities, and any further data you may need to thrive in the blockchain AI industry. This blockchain AI 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 blockchain AI market size grew from $0.39 billion in 2022 to $0.48 billion in 2023 at a compound annual growth rate (CAGR) of 25.1%. 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 blockchain AI market size is expected to grow to $1.18 billion in 2027 at a CAGR of 25.2%. The growing demand for accessing and managing data efficiently contributed to the growth of the blockchain AI market. Currently, most of the work has become digitalized and is mostly stored on the cloud, which is accessed and managed by blockchain AI. Blockchain AI convergence is inevitable because both the technology deal with data and value. Blockchain enables secure storage and sharing of data whereas AI can analyze and generate insights from data to generate value. For instance, Gainify is a healthcare platform that leverages AI, IoT devices, and blockchain and facilitates different tasks such as streamlining appointment scheduling, digital payments, identity verification, medical records management and others. It also allows the monetization of anonymous clinical data through a crypto payment system. The benefits of the deployment of blockchain AI in the process increased its demand and thereby contributed to the growth. Growing investment in Blockchain AI technology by enterprises is considered an emerging trend in the blockchain AI market. Artificial Intelligence refers to a machine that performs intelligent tasks performed by humans. Blockchain is a decentralized network of computers that records and stores data to display a chronological series of events on a transparent and immutable ledger system. The development of artificial intelligence applied to big data together with the security offered by blockchain technology creates the perfect combination for the management of large databases. Blockchain technology, in particular, has shown immense potential when coupled with machine learning functionality. According to the report published by USM Systems in 2021, a US-based provider of technology solutions and services, More than 60% of manufacturing businesses are utilizing AI to improve productivity and other business operations. Mostcompanies that were experimenting with using AI are now going ahead and adopting it in their processes. Therefore, investing in blockchain technology by business enterprises plays a major role in the success of businesses. In June 2020, NetObjex acquired VitalGrid for an undisclosed amount. The deal will expand NetObjex’s Digital Transformation product and service offerings. NetObjex is an Operating Platform for Digital Assets utilizing Artificial intelligence, Blockchain & IoT with applications in Manufacturing, Supply Chain, Transportation and Smart Cities. VitalGrid provides business technology and management consulting for improving performance, streamlining processes and reducing risk by delivering technology-enabled business innovation. Major players in the blockchain AI market are Cyware Labs, Core Scientific, Ai-Blockchain, AlphaNetworks, Bext360, BurstIQ, Neurochain Tech, Figure Technologies, NetObjex, Fetch.ai, Chainhaus, CoinGenius, and Computable. North America was the largest region in the blockchain AI market in 2022. Asia-Pacific is expected to be the fastest growing region in the forecast period. The regions covered in the blockchain AI market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the blockchain AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The blockchain AI market includes revenues earned by entities by providing software tools to store and distribute organizational data in distributed immutable ledger systems using AI models to enhance the data security of organizations. 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 blockchain ai market is segmented - 1) By Technology: Computer Vision, Machine Learning (ML), Natural Language Processing (NLP), Other Technologies 2) By Vertical: BFSI, Telecom & IT, Healthcare and Life science, Manufacturing, Media & Environment, Automotive, Other Verticals 3) By Application: Smart Contract, Payment, Data Security, Logistics and supply chain management, Business process optimization, Other Applications