Artificial Intelligence (AI) In Drug Discovery Global Market Report 2023 – By Technology (Deep Learning, Machine Learning), By Drug Type (Small Molecule, Large Molecules), By Therapeutic Type (Metabolic Disease, Cardiovascular Disease, Oncology, Neurodegenerative Diseases, Other Therapeutics), By EndUsers (Pharmaceutical Companies, Biopharmaceutical Companies, Academic And Research Institutes, Other EndUsers) – Market Size, Trends, And Global Forecast 2023-2032

Artificial intelligence (AI) is a simulation of the human intelligence in machines that are programmed to think and behave like humans. AI helps to complete the job quickly and with relatively few errors. The main technology types of artificial intelligence are machine learning, natural language processing, context-aware computing, computer vision and others. Machine learning is an artificial intelligence (AI) program that allows systems to automatically learn and improve from experience without being explicitly programmed. The AI technology is offered through hardware, software and services that are used by healthcare, automotive, agriculture, retail, marketing, telecommunication, defense, aerospace, media and entertainment and other end use industries. The global artificial intelligence market is segmented – 1) By Offering: Hardware, Software, Services 2) By Technology: Machine learning, Natural language processing, Context-Aware Computing, Computer Vision, Other Technologies (Image processing, Speech recognition) 3) By End-user Industry: Healthcare, Automotive, Agriculture, Retail, Marketing, Telecommunication, Defense, Aerospace, Media & Entertainment, Other End-User Industries The global artificial intelligence market size will grow from $56.89 billion in 2022 to $73.38 billion in 2023 at a compound annual growth rate (CAGR) of 29.0%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market share of the global artificial intelligence is expected to grow to $167.29 billion in 2027 at a CAGR of 22.9%. Growing investment in AI technologies contributed to the growth of the Artificial intelligence market. Many companies are investing in AI technologies or AI start-ups to increase the efficiency of AI software as AI enables them to make more informed decisions and achieve better results. For instance, Microsoft has invested around $1 billion in OpenAI a San Francisco company. The two companies had formed a partnership to develop AI supercomputing technologies on Microsoft's cloud Azure. AI is useful across multiple sectors. For instance, AI can lead to breakthroughs in R&D and diagnostics in healthcare sector, it can help make better forecasts in finance, and in manufacturing, it can increase production controls and efficiency. Therefore, rise in investment in AI technologies due to its advantages in every sector is driving the market for the Artificial Intelligence market. Major players in the artificial intelligence market are Google, IBM, Baidu, Microsoft, Apple Inc., Ipsoft, NVIDIA corporation, Samsung Electronics Co.Ltd., MicroStrategy Inc., Qlik Technologies Inc., Verint Systems Inc. (Next IT Corp), Qualcomm Technologies, Micron Technology, Xilinx Inc., Intel corporation, ARM Holding, Advanced Micro Devices Inc., Huawei Technologies Co.Ltd., SAP, Intel, Salesforce, Brighterion, KITT.AI, IFlyTek, Megvii Technology, Albert Technologies, H2O.ai, Brainasoft and Yseop. The limited number of AI Experts is a major challenge in the Artificial intelligence market. To develop the AI software the company needs AI experts, practitioners, and researchers. According to Tencent, a Chinese multinational technology conglomerate holding company, there are 300k AI researchers and practitioners worldwide, but the market demand is around millions of roles. The limited number of AI experts may harm the market. Automated machine learning is being implemented by many companies. It is quite complicated to apply traditional machine learning models for real-world business problems. The better solution is to use Automated machine learning which allows non-machine learning (ML) experts to use machine learning algorithms without being machine learning wizards. For instance, tools like Google cloud AutoML are used to train custom-made and high-quality ML models with a minimum ML expertise. In January 2020, Apple acquired a Seattle-based start-up xnor.ai for a deal amount of $200 million. The acquisition is expected to strengthen in delivering AI capabilities. Xnor.ai is a US-based designer and developer of hardware and software solutions. Asia-Pacific was the largest region in the artificial intelligence market in 2022. North America was the second largest region in the global artificial intelligence market share. The regions covered in the global artificial intelligence market analysis report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The artificial intelligence market includes revenues earned by entities by offering artificial intelligence software. Artificial Intelligence (AI) is sometimes referred to as machine intelligence. Artificial intelligence is a wide-ranging branch of computer science-related to building smart machines that can perform tasks that require human intelligence. Values in this market are factory gate values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence market statistics, including artificial intelligence industry global market size, regional shares, competitors with an artificial intelligence market share, detailed artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence industry. This artificial intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Big data and analytics is the use of certain advanced analytics techniques on big data or very large datasets to generate business insights. It begins with data collection with predefined templates and forms, followed by data maintenance, data processing, and data analysis. The main analytics tools of big data and analytics are dashboard and data visualization, self-service tools, data mining and warehousing, reporting and others. Data visualization is the method of converting big data sets and metrics into charts, graphs, and other graphics. The resulting visual representation of data makes it easier to detect and convey real-time patterns, outliers, and fresh insights about the data. The analytics tools are deployed through on-premise and cloud mode for customer analytics, supply chain analytics, marketing analytics, pricing analytics, spatial analytics, workforce analytics, risk and credit analytics, transportation analytics and others. The big data tool and analytics are used by various end-use industries such as BFSI, retail, manufacturing, IT and telecom, government, healthcare, utility, others. The global big data and analytics market is segmented - 1) By Analytics Tools: Dashboard & Data Visualization, Self-Service Tools, Data Mining & Warehousing, Reporting, Other Analytics Tools 2) By Deployment Mode: On-Premise, Cloud 3) By End Use Industry: BFSI, Retail, Manufacturing, IT and Telecom, Government, Healthcare, Utility, Other End Use Industries 4) By Application: Customer Analytics, Supply Chain Analytics, Marketing Analytics, Pricing Analytics, Spatial Analytics, Workforce Analytics, Risk & Credit Analytics, Transportation Analytics, Other Application The global big data and analytics market size will grow from $92.06 billion in 2022 to $104.19 billion in 2023 at a compound annual growth rate (CAGR) of 13.2%. 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 market size of the global big data and analytics is expected to grow to $172.84 billion in 2027 at a CAGR of 13.5%. The growing investments in business intelligence, data analytics tools by major companies, and increasingly adopting different styles of analytics to resolve their business imperatives and personalize the service or product according to the customers' aspirations boosts the growth of the big data and analytics market. For instance, CostCo., a major retailer that collects its customer's data on purchases to provide personalized service was able to warn its customers who bought stone fruits to warn them of possible contamination using the analytics software instead of sending a blanket message to everyone. This increasing need to personalize the service to cater to the customers compels businesses to invest in data analytics tools, thereby increasing demand for the big data and analytics market. Major players in the big data and analytics market are IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, SAS Institute Inc., Teradata Corporation, Accenture, Salesforce, Cisco Systems, Tableau Software, Hewlett Packard Enterprise Development LP., Amazon Web Services,, Dell Inc., Cloudera, Musigma, Informatica, Alpine Data Labs, Alteryx, Amazon Web Services, BigML, Cognonto Corp., Couchbase, Inc., and Dataiku. The shortage of skilled professionals is a major restraint for the big data and analytics market. Developing hardware, software and system integration require trained and specialized resources to handle data preparation, create predictive models, and integrate these into applications. The resources are either unavailable or too expensive to hire, which stifles the growth of the big data and analytics market. According to the US Bureau of Labor Statistics, 11.5 million new jobs will be created for data science and analytics by the year 2026. However, the lack of a skilled workforce to occupy the job vacancies hinders big data and analytics market growth. The agile process' success in software development and the development of the latest technologies have made it very popular in the innovation industry. Few leading-edge organizations use an agile approach to manage their data systems. Agile is a technique for designing applications or handling operations more effectively in IT organizations. Broadly, it's a collaborative methodology where cross-functional teams develop and create minimally viable products (MVPs) and features quickly, test them with consumers, and optimize and improve them in rapid iterations. The agile process helps to make changes in the workflow even in the later stages, which will help to work in the best interests of the client. Agile organizations have a 70% chance of being in the top quartile of organizational health, indicating the best long-term performance amongst competitors. These companies become more customer-centric, have higher revenue growth, and a more engaged workforce. In April 2022, Accenture, a global information technology company acquired Ergo for an undisclosed amount. The acquisition will broaden the Cloud First capabilities of Accenture and increases its customer base in the Hispanic South American market. Ergo is an Argentinian big data, analytics and artificial intelligence (AI) company. Asia-Pacific was the largest region in the big data and analytics market in 2022. North America was the second largest region in the global big data and analytics market analysis. The regions covered in the global big data and analytics market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the big data and analytics market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The big data and analytics market includes revenues earned by entities by offering software used for data mining and predictive modeling. The sales consist of revenues generated by establishments that are primarily engaged in the development of software for big data and analytics like Hadoop, Tableau and Qubole. 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 big data and analytics market research report is one of a series of new reports from The Business Research Company that provides big data and analytics market statistics, including big data and analytics industry global market size, regional shares, competitors with a big data and analytics market share, detailed big data and analytics market segments, market trends and opportunities, and any further data you may need to thrive in the big data and analytics industry. This big data and analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Artificial intelligence 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 global artificial intelligence chips 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 The global artificial intelligence chips 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 chips 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 chips 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. Major players in the artificial intelligence chips 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. Technological advancement is a key trend gaining popularity in the artificial intelligence chips market. Major companies in the artificial intelligence chips market are advancing in their new technologies and research and developments in the artificial intelligence chips 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 chips 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. 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 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, artificial intelligence chips 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.

Artificial intelligence (AI) is a simulation of the human intelligence in machines that are programmed to think and behave like humans. AI helps to complete the job quickly and with relatively few errors. The main components of automotive artificial intelligence are hardware, software, and services. The hardware market consists of sales of hardware by entities (organizations, sole traders, and partnerships), that are integrated into the automotive artificial intelligence field. AI hardware orchestrates and coordinates computations among accelerators, serving as a differentiator in AI. AI hardware primarily consists of CPU (Central Processing Units), GPU (Graphics Processing Units), FPGA (Field Programmable Gate Arrays), and an ASIC (Application Specific Integrated Circuits). The main types of automotive artificial intelligence include automotive drive and ADAS. The different process of automotive artificial intelligence includes signal recognition, image recognition, and data mining. The different technologies used in automotive artificial intelligence include deep learning, machine learning, context awareness, computer vision, and natural language processing. Automotive artificial intelligence is used in semi-autonomous driving, autonomous driving, and human-machine interface. The global automotive artificial intelligence market is segmented - 1) By Component: Hardware, Software, Service 2) By Type: Automatic Drive, ADAS 3) By Process: Signal Recognition, Image Recognition, Data Mining 4) By Technology: Deep Learning, Machine Learning, Context Awareness, Computer Vision, Natural Language Processing 5) By Application: Semi-Automatic, Human Machine Interface, Autonomous Driving The global automotive artificial intelligence market size will grow from $1.98 billion in 2022 to $2.79 billion in 2023 at a compound annual growth rate (CAGR) of 40.7%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the automotive artificial intelligence is expected to grow to $10.51 billion in 2027 at a CAGR of 39.3%. The growing demand for autonomous vehicles is expected to propel the growth of the automotive artificial intelligence market. Artificial intelligence has a wide range of applications in the automotive industry. As technology evolves, the automobile industry has taken advantage of discoveries to provide new ways to make driving more autonomous. Using artificial intelligence to develop self-driving automobiles is one of them. A self-driving car (also known as an autonomous car or driverless car) is a vehicle that travels to locations without the need for a human driver by utilizing a variety of sensors, radars, cameras, and artificial intelligence. For instance, according to Deloitte, the global automotive AI market will culminate in a total volume of around $27 billion in 2025. Therefore, a rise in demand for automotive cars drives the growth of automotive artificial intelligence. Major players in the automotive artificial intelligence market are DiDi Chuxing Technology, Otto Motors, Waymo LLC, Microsoft Corporation, Intel Corporation, NVIDIA Corporation, BMW AG, IBM Corporation, Harman International Industries Inc., Xilinx Inc., Qualcomm Inc., Tesla Inc., Volvo Car Corporation, Micron Technology, Inc., Toyota, and Uber Technologies. Strategic collaborations between companies are a key trend gaining popularity in the automotive artificial intelligence market. Companies providing artificial automotive intelligence are undergoing partnerships and collaborations to develop new technologies and products. For instance, in May 2021, a mobile transportation company based in China and Volvo, an automobile manufacturing company based in Sweden, are involved in a partnership with automatic driving vehicles. Through this partnership, Volvo will provide Didi with XC90 SUVs fitted with steering and brake backup systems. The vehicles will be the first to use Didi Gemini, the ride-hailing company's new self-driving hardware platform, and will be tested with human safety drivers. In the other partnership, in February 2021, Volkswagen, a German-based automobile manufacturer, and Microsoft, an American multinational technology corporation that produces computer software, consumer electronics, personal computers, and related services, partnered to develop self-driving car software. With this partnership, Volkswagen and Microsoft will together develop the "Volkswagen Automotive Cloud". The service will support all of the German automaker's digital and mobility products, including car-sharing and other shared mobility services. By 2020, Volkswagen hopes to have more than 5 million linked vehicles in the cloud, thanks to the Internet of Things. As part of the agreement, the businesses will open a new automotive cloud development center near Microsoft's headquarters in Redmond, Washington. In June 2020, Mercedes-Benz A German-based luxury automobile manufacturing company, and Nvidia, an American-based multinational technology company that designs graphics processing units as well as systems-on-chip units for the mobile computing and automotive market, entered into a partnership to build the world’s most advanced, software-defined vehicles. The partnership enables Mercedes-Benz to launch software-defined, intelligent vehicles using end-to-end NVIDIA technology. Beginning in 2024, every next-generation Mercedes-Benz vehicle will include Nvidia's first-of-its-kind software-defined computing architecture, which includes the most powerful computers, system software, and applications for consumers, signaling the shift from traditional vehicles to high-performance, updateable computing devices. North America was the largest region in the automotive artificial intelligence market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the automotive artificial intelligence market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the automotive artificial intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The automotive artificial intelligence market includes revenues earned by entities by offering automotive artificial intelligence. It refers to solutions that can collect and process massive volumes of vehicle data, deliver actionable insights, and improve privacy and data security. Automotive artificial intelligence is at the heart of autonomous driving, allowing for real-time recognition of items in the vehicle's environment and improved maintenance and fleet management used in the production of self-driving automobiles. AI automotive solutions improve navigation systems, improve voice command understanding, and streamline regular activities, all of which lead to improved business processes and have the potential to improve user experience, accelerate innovation cycles, and optimize the overall manufacturing and maintenance workflow. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of currency (in USD ($) unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The automotive artificial intelligence market research report is one of a series of new reports from The Business Research Company that provides automotive artificial intelligence market statistics, including automotive artificial intelligence industry global market size, regional shares, competitors with an automotive artificial intelligence market share, detailed automotive artificial intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the automotive artificial intelligence industry. This automotive artificial intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Drug discovery is the process of identifying biologically active compounds that possess the potential to become therapeutic agents. The drug discovery process involves different phases, from ideation to development to approval. It is used to discover a new clinical drug for treating new, existing, and previously incurable diseases. The main types of drugs in the drug discovery market are small molecule and large molecule. The small molecules are used to identify small molecules with suitable properties for development. Small molecule refers to a low molecular weight drug that can smoothly penetrate cells. The various processes in drug discovery includes target selection, target validation, hit-to-lead identification, lead optimization, and candidate validation. The various technologies in drug discovery includes high throughput screening, spectroscopy, combinatorial chemistry, biochips, pharmacogenomics and pharmacogenetics, bioinformatics, metabolomics, nanotechnology, and other technologies. The drug discovery is applied in many therapeutic areas such as oncology, neurology, infectious and immune system diseases, digestive system diseases, cardiovascular diseases, diabetes, respiratory disease, and other therapeutic areas. The drug discovery is used by pharmaceutical companies, CROs, and other end-users. The global drug discovery market is segmented - 1) By Drug Type: Small Molecule, Large Molecule 2) By Process: Target Selection, Target Validation, Hit-to-Lead Identification, Lead Optimization, Candidate Validation 3) By Technology: High Throughput Screening, Spectroscopy, Combinatorial Chemistry, Biochips, Pharmacogenomics and Pharmacogenetics, Bioinformatics, Metabolomics, Nanotechnology, Other Technologies 4) By Therapeutic Area: Oncology, Neurology, Infectious and Immune System Diseases, Digestive System Diseases, Cardiovascular Diseases, Diabetes, Respiratory Disease, Other Therapeutic Areas 5) By End User: Pharmaceutical Companies, CROs, Other End-Users The global drug discovery market size will grow from $85.42 billion in 2022 to $98.48 billion in 2023 at a compound annual growth rate (CAGR) of 15.3%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the drug discovery is expected to grow to $158.67 billion in 2027 at a CAGR of 12.7%. Rising healthcare expenditure is expected to propel the drug discovery market going forward. Countries around the world are spending a major share of their GDP on healthcare expenses which include hospital care, physician and clinical services, other professional services, dental services, other health, residential, and personal care, home health care, nursing care facilities, and continuing care retirement communities, prescription drugs, and others. Drug discovery holds a significant part of the health expenditure, as it is required to treat diseases and prolong life. There is an increasing need for new drugs to treat new diseases. For instance, In 2020, the US National Healthcare Expenditure (NHE) grew by 9.7% to $4.1 trillion, accounting for 19.7% of the U.S. Gross Domestic Product (GDP). Therefore, rising healthcare expenditure is expected to propel the drug discovery market growth. Major players in the drug discovery market are Pfizer Inc., GlaxoSmithKline PLC, Merck & Co. Inc., Agilent Technologies Inc., Eli Lilly and Company, F. Hoffmann-La Roche Ltd., Bayer AG, Abbott Laboratories Inc., AstraZeneca PLC, Shimadzu Corp., Evotec SE, Boehringer Ingelheim, Inc., Novartis, Johnson & Johnson, and WIL Research Laboratories. Technological advancements are a key trend in the drug discovery market. Companies operating in the drug discovery market are coming up with various new technologies, such as AI, imaging technology, and others, to reduce the time required for drug discovery. The imaging technology enables non-invasive biological activities occurring within organisms in response to medications to be visualised, characterised, and quantified. These methods, which make use of the strengths of either probes or tissue itself, are crucial for understanding diseases and finding new treatments. For instance, in October 2020, the CU Skaggs School of Pharmacy and Pharmaceutical Sciences, part of Colorado Anschutz, a US-based medical university, announced a new drug discovery technology that includes a new robotic screening and imaging technology which cuts the screening time for new drug therapies by half and also enables rapid and cost-effective screening of hundreds of thousands of potential therapies for diseases. In October 2021, Inotiv, a US-based contract research organization that focuses on nonclinical and analytical drug discovery and development services, acquired Plato BioPharma for $15 million. Through this acquisition, Inotiv intends to execute its strategy of developing a comprehensive range of contract research services spanning the entire drug discovery and preclinical development process. Plato BioPharma is a US-based company specialising in vivo pharmacology research and drug discovery in the cardiovascular, renal, pulmonary, and hepatic therapeutic areas. North America was the largest region in the drug discovery market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the drug discovery market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the drug discovery market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The drug discovery market includes revenues earned by entities by high throughput screening, spectroscopy, combinatorial chemistry, biochips, pharmacogenomics and pharmacogenetics, bioinformatics, metabolomics, and nanotechnology. 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 drug discovery market research report is one of a series of new reports from The Business Research Company that provides drug discovery market statistics, including drug discovery industry global market size, regional shares, competitors with a drug discovery market share, detailed drug discovery market segments, market trends and opportunities, and any further data you may need to thrive in the drug discovery industry. This drug discovery 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.

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 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 The global artificial intelligence in healthcare market size will grow 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 market size of the artificial intelligence in healthcare 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. 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. 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. 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 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.

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 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. The global blockchain AI market size will grow 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 market size of the blockchain AI 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 blockchain AI market growth. 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. 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. 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 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.

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 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 The global AI in pharma market size will grow 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 market size of the AI in pharma 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 growth. Major players in the AI in pharma market are Novartis, IBM Watson, Microsoft Corporation, Merck, GNS Healthcare., Google, AstraZeneca, Atomwise, Inc., Exscientia, and Cyclica. 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. 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 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.