Enterprise Artificial Intelligence Global Market Report 2023 – By Component (Solution, Service), By Technology (Machine Learning, Natural Language Processing, Image Processing, Speech Recognition), By Deployment Type (Cloud, On Premise), By Application (Security And Risk Management, Marketing Management, Customer Support And Experience, Human Resource And Recruitment Management, Analytics Application, Process Automation), By Industry (Retail, Healthcare, Automotive, Banking And Financial Services, Media And Entertainment, Other Industries) – 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.

Artificial intelligence is a wide-ranging branch of computer science-related with building smart machines that can perform tasks that require human intelligence. The main technology types of artificial intelligence services are machine learning, computer vision, natural language processing (NLP), and others. Machine learning is an artificial intelligence (AI) program that allows systems to automatically learn and improve from experience without being explicitly programmed. The various software tools used include web-based and cloud application programming interface, processing and modeler, archiving, and data storage that are used to provide managed services and professional services. The services are used by different end users such as banking, financial, and insurance (BFSI), IT and telecom, retail, manufacturing, public sector, energy and utility, and healthcare, among others. The global artificial intelligence services market is segmented – 1) By Technology: Machine Learning, Computer Vision, Natural Language Processing (NLP), Other Technology 2) By Services Type: Managed Services, Professional Services 3) By Software Tools: Web-based and Cloud Application Programming Interface, Processing and Modeler, Archiving and Data Storage 4) By Application Type: Fraud Detection, Data Analytics & Visualization, Customer Service and Management, Rsik Management, Compliance & Security 5) By End-User: Banking, Financial, and Insurance (BFSI), IT & Telecom, Retail, Manufacturing, Public Sector, Energy & Utility, Healthcare, Other End-Users The global artificial intelligence services market size will grow from $12.39 billion in 2022 to $18.34 billion in 2023 at a compound annual growth rate (CAGR) of 48.0%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the global artificial intelligence services is expected to grow to $55.38 billion in 2027 at a CAGR of 31.8%. The rise in the adoption of cloud-based solutions is a key factor driving the growth of the artificial intelligence services market. Artificial intelligence (AI) as a service lets businesses experiment with AI for different activities without a high initial investment. Experimentation enables many cloud computing platforms to check different machine learning algorithms and helps streamline how data is analyzed and managed. Businesses are deeply interested in cloud-based machine learning, which lets them experiment through their services and help their clients make informed decisions based on the data. For instance, in March 2020, Google announced the beta launch of Cloud AI Platform Pipelines, which provides its customers with repeatable machine learning pipelines that can be installed easily and used for machine learning workflows securely. The integration of AI applications into its cloud draws more customers, thus enhancing market growth over the forecast period. Therefore, the rise in the adoption of cloud-based solutions is expected to drive the growth of the artificial intelligence services market. Major players in the artificial intelligence services market are Intel Corp., International Business Machines Corp., Microsoft Corp., SAP SE, SAS Institute Inc., Amazon.com Inc., Salesforce, Google LLC., Oracle Corporation, Fair Isaac Corporation, Alphabet Inc., Apple Inc., CognitiveScale, Inc., Baidu, Inc., BigML, H2O.ai and Baidu Inc. The risks associated with data breaches and hacks are hampering the growth of the artificial intelligence services market. The World Economic Forum (WEF) has cautioned that new technologies such as the Internet of Things, artificial intelligence, and quantum computing can turn around human lives, but may also make society more vulnerable to cyber-attacks. It was stated that attacks occur on average once every 39 seconds and a single breach could cost as much as $150 million in 2020. Although companies and organizations are aware of these risks, breach activity still takes around six months to detect, and the long delays between original network breach and security responses allow hackers to take advantage of significant quantities of data. According to the State of the breach June 2020, about 16 billion records including credit card numbers, phone numbers, home addresses, and other sensitive information were exposed through data breaches since 2019. Therefore, the risks associated with data breaches and hacking hampers the growth of the artificial intelligence services market. The use of artificial intelligence as a service for human interaction with machines using natural language processing (NLP) is a key trend shaping the artificial intelligence services market. Natural language processing (NLP) is a type of artificial intelligence that explains how human language and computers interact. Machine translation is an enormous technology for NLP that enables us to overcome the challenges to contact people from all over the world and to understand software manuals and catalogs written in a foreign language. For instance, the Livox app, a customizable application in 25 languages helps the disabled to communicate. In January 2021, ServiceNow, a US-based provider of information technology management software for companies, acquired Element AI for $230 million. The acquisition of Element AI would significantly strengthen ServiceNow's commitment to developing the most intelligent workflow platform in the world, allowing staff members to work more quickly and intelligently, simplify business choices, and reach new heights of productivity. Element Ai is a Canada-based artificial intelligence (AI) company. Asia-Pacific was the largest region in the artificial intelligence services market in 2022. North America was the second largest region in the global artificial intelligence services market share. The regions covered in the global artificial intelligence services market analysis report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence services market are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK and USA. The artificial intelligence services market includes revenues earned by entities by providing AI services that are used in telecommunications, government, retail, defense and healthcare. Companies in the artificial intelligence market provide outsourced services to cater to business requirements. AI as a service enables individuals and businesses to use AI for different purposes, without significant initial investment and with lower risk. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The artificial intelligence (AI) services market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) services market statistics, including artificial intelligence (AI) services industry global market size, regional shares, competitors with an artificial intelligence (AI) services market share, detailed artificial intelligence (AI) services market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) services industry. This artificial intelligence (AI) services market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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 technologies in artificial intelligence (AI) in drug discovery are deep learning and machine learning. Deep learning is a machine learning and artificial intelligence (AI) technique that mimics how humans acquire knowledge. Data science, which covers statistics and predictive modelling, incorporates deep learning as a key component. The different drug types include small molecule, large molecules and involves various types of therapies such as c, others. It is implemented in several end-users including pharmaceutical companies, biopharmaceutical companies, academic and research institutes, others. The global artificial intelligence (AI) in drug discovery market is segmented – 1) By Technology: Deep Learning, Machine Learning 2) By Drug Type: Small Molecule, Large Molecules 3) By Therapeutic Type: Metabolic Disease, Cardiovascular Disease, Oncology, Neurodegenerative Diseases, Other Therapeutics 4) By End-Users: Pharmaceutical Companies, Biopharmaceutical Companies, Academic And Research Institutes, Other End-Users The global artificial intelligence (ai) in drug discovery market size will grow from $1.04 billion in 2022 to $1.38 billion in 2023 at a compound annual growth rate (CAGR) of 31.9%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The global artificial intelligence (ai) in drug discovery market size is expected to grow to $3.74 billion in 2027 at a CAGR of 28.4%. The rise in demand for a reduction in the overall time taken for the drug discovery process is a key driver propelling the growth of the artificial intelligence (AI) in drug discovery market. Traditionally, it takes three to five years for animal models to identify and optimize molecules before they are evaluated in humans whereas start-ups based on AI have been identifying and designing new drugs in a matter of few days or months. For instance, in 2020, the British start-up Exscientia and Japan's Sumitomo Dainippon Pharma have used artificial intelligence to produce an obsessive-compulsive disorder (OCD) medication, decreasing the development time from four years to less than one year. The reduction in overall time taken for the drug discovery process drives the artificial intelligence (AI) in drug discovery market’s growth. Major players in the artificial intelligence (AI) in drug discovery market are IBM Corporation, Microsoft, Atomwise Inc., Deep Genomics, Cloud Pharmaceuticals, Insilico Medicine, Benevolent AI, Exscientia, Cyclica and BIOAGE. The shortage of skilled professionals is expected to hamper the AI in drug discovery market. The employees have to re-train or learn new skill sets to work efficiently on the complex AI machines to get the desired results for the drug. The shortage of skills acts as a major hindrance to drug discovery through AI, discouraging companies to adopt AI-based machines for drug discovery. in 2020, according to a study by National Skills Coalition, one-third of America's workers lacked digital skills. This figure accounted for 18% of workers with only a few skills and 13% with no digital abilities. Major companies operating in the AI drug delivery market are adopting strategic collaborations to research and discover drugs using AI and are gaining significant popularity in the artificial intelligence in drug discovery market. For instance, in August 2022, Atomwise, a US-based artificial intelligence systems company, partnered with Sanofi. The partnership aimed at computationally identifying and investigating up to five pharmacological targets using the Atomwise AI-powered AtomNet technology. To find, create, and advance lead compounds for up to five Sanofi-exclusive targets, Atomwise received a $20 million upfront payment from Sanofi. Sanofi is a French pharmaceutical and healthcare company. In July 2020, Curi Bio, a leading developer of human iPSC-based platforms for drug discovery, acquired Dana Solutions for an undisclosed amount. This acquisition will give Curi Bio access to Dana's AI/ML platforms for modelling cell and tissue phenotype, automated platform for contractility analysis of beating cardiomyocyte and platform for predictive safety pharmacology. Dana Solutions is a leading AI solutions provider for the life sciences industry. North America was the largest region in the artificial intelligence (AI) in drug discovery market in 2022. Western Europe was the second largest region in the global artificial intelligence (AI) in drug discovery market share. The regions covered in the global artificial intelligence (AI) in drug discovery 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 (AI) in drug discovery market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The artificial intelligence (AI) in drug discovery market includes revenues earned by entities by offering AI for drug discovery. Artificial Intelligence (AI) for drug discovery is a technology that uses a simulation of the human intelligence process by machines to tackle complex problems in the drug discovery process. It helps to find new molecules to identify drug targets and develop personalized medicines in the pharmaceutical industry. 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 (AI) in drug discovery market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in drug discovery market statistics, including artificial intelligence (AI) in drug discovery industry global market size, regional shares, competitors with a artificial intelligence (AI) in drug discovery market share, detailed artificial intelligence (AI) in drug discovery market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in drug discovery industry. This artificial intelligence (AI) in 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.

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.

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.

AI in marketing refers to obtaining and evaluating consumer data for making marketing decisions on behalf of an algorithm or machine learning engine that helps in making automated judgments that are based on data gathering, analysis, and further observations of the data from the audience or economic patterns that may influence marketing efforts. The main types of technologies used in artificial intelligence in marketing are machine learning, context-aware computing, natural language processing and computer vision. The machine learning solutions in marketing refers to a computer programme can learn and adapt to new data without human involvement. Machine learning is a type of artificial intelligence (AI) that helps in maintaining built-in algorithms of a computer's up to date. These technologies are offered through hardware, software and services and deployed through cloud or on-premises. Artificial intelligence in marketing have applications in social media advertising, search advertising, dynamic pricing, virtual assistant, content curation, sales and marketing automation, analytics platform, others. The global artificial intelligence in marketing market is segmented - 1) By Technology: Machine Learning, Context-Aware Computing, Natural Language Processing, Computer Vision 2) By Offering: Hardware, Software, Services 3) By Deployment Type: Cloud, On Premises 4) By Application: Social Media Advertising, Search Advertising, Dynamic Pricing, Virtual Assistant, Content Curation, Sales And Marketing Automation, Analytics Platform, Other Applications The global artificial intelligence in marketing market size will grow from $17.48 billion in 2022 to $22.64 billion in 2023 at a compound annual growth rate (CAGR) of 29.5%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The market size of the artificial intelligence in marketing is expected to grow to $64.31 billion in 2027 at a CAGR of 29.8%. The increasing adoption of virtual assistants is expected to drive the artificial intelligence in marketing market. Virtual assistants are services over the internet or dedicated network with delivery on demand. Due to the pandemic and lockdowns, small and medium-scale enterprises are increasingly focusing on streamlining their business models by adopting virtual assistants. For instance, in April 2022, ThriveMyWay publisehd an article which states that chatbot ecommerce transactions is projected to hit $112 billion by 2023. Conversational technologies such as virtual agents and chatbots can help businesses save up to 30% on customer support costs. Hence, the increasing adoption of virtual assistants will increase the demand for artificial intelligence in the marketing market groetj. Major players in the artificial intelligence in marketing market are IBM, Salesforce, Amazon, Facebook, Oracle, Microsoft, NVIDIA, GumGum, Heuritech, Alphabet, Baidu, NetBase, Appier, QuantCast and Dstillery. The advancement of technologies is seen as an emerging trend in artificial intelligence (AI) in marketing market. Software companies are bringing new advanced technology for automated and integrated business models. In October 2020, IBM planned to provide its IBM Watson, an AI for business toolset to industry leaders and make it available across the advertising ecosystem. Altering existing business practices can provide firms with improved AI capabilities in language, automation, and trust. In March 2022, Zoomd Technologies Ltd., an Israel-based company marketing tech company announced the acquisition of Albert Technologies Ltd., for an undisclosed amount. Through this deal, Zoomd aims to expand its products onto a Self-Service and SaaS business model using Albert’s expertise in artificial intelligence (AI) and add Fortune 500 customers that will now be able to use Zoomd products and services. Albert Technologies Ltd. is a US-based company offering artificial intelligence marketing solution. APAC was the largest region in the artificial intelligence in marketing market in 2022. The regions covered in the artificial intelligence in marketing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the artificial intelligence in marketing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The artificial intelligence in the marketing market includes revenues earned by entities by making automated judgments based on audience or economic patterns that may affect marketing activities, data collection, analysis, and other observations. 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 marketing market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence in marketing market statistics, including artificial intelligence in marketing industry global market size, regional shares, competitors with an artificial intelligence in marketing market share, detailed artificial intelligence in marketing market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in marketing industry. This artificial intelligence in marketing 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.

Digital transformation, referred to as the process of using digital technology to create new or alter existing business processes, cultures, and consumer experiences by using tools such as cloud computing, big data analytics, artificial intelligence, and the Internet of Things, are examples of digital transformation solutions that enable traditional enterprises to optimize company operations, minimize operational efforts, and boost efficiency. The main types of digital transformation are cloud computing, big data and analytics, artificial intelligence (AI), the internet of things (IoT), and blockchain. Cloud computing is used by various organisations with the help of digital technologies to create or modify their existing services, such as business processes. Cloud service providers provide a cloud platform on a pay-for-use basis for their clients to store business databases, which helps them in business optimization. The cloud-based server uses virtual technology to host the client's company’s application out of premises, and gives access to the client to operate a business. The various deployment modes include cloud and on-premises, which are used by large enterprises and small and medium-sized enterprises (SMEs). The various end users include BFSI, healthcare, telecom and IT, automotive, education, retail, consumer goods, media and entertainment, manufacturing, and government. The global digital transformation market is segmented - 1) By Technology: Cloud Computing, Big Data and Analytics, Artificial intelligence (AI), Internet Of Things (IoT), Blockchain 2) By Deployment Mode: Cloud, On-premises 3) By Organization Size: Large Enterprises, Small and Medium-sized Enterprises (SMEs) 4) By End-User: BFSI, Healthcare, Telecom and IT, Automotive, Education, Retail and Consumer Goods, Media and Entertainment Manufacturing, Government, Other End-Users The global digital transformation market size will grow from $1169.02 billion in 2022 to $1434.84 billion in 2023 at a compound annual growth rate (CAGR) of 22.7%. 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 digital transformation is expected to grow to $3152.85 billion in 2027 at a CAGR of 21.8%. The increasing adoption of machine learning and artificial intelligence is expected to drive the growth of the digital transformation market going forward. Digital transformation provides traditional businesses with solutions like cloud computing, big data & analytics, data management, and other advanced features such as artificial intelligence and machine learning, which help in the optimization of business operations, leading to reduced efforts in operations and increased efficiency. Thus, their usage increased in various sectors such as healthcare, banking, transportation, manufacturing, and others, increasing the demand in the digital transformation market. For instance, according to the report published by Cloudmantra, an India-based technology services company, the usage of machine learning in the Indian manufacturing industry has increased manufacturing capacity by up to 20% while reducing material usage by 4% in 2021. It also gives manufacturers the ability to control Overall Equipment Effectiveness (OEE) at the plant level, increasing OEE performance from 65% to 85%. Furthermore, according to the MIT Technology Review Insights report in 2022, approximately 60% of manufacturers are using artificial intelligence to improve daily operations, design products, and plan their future operations. Therefore, the rising adoption of machine learning and AI drives the digital transformation market.. Major players in the digital transformation market are Microsoft Corporation, IBM Corporation, Oracle Corporation, Google Inc., Cognizant, Accenture PLC, Dell EMC, Siemens AG, Hewlett-Packard Company, Adobe Systems Inc., Capgemini, Cognex Corporation, Deloitte, Marlabs Inc., Equinix Inc., PricewaterhouseCoopers, Apple Inc., Broadcom, CA Technologies, KELLTON TECH, International Business Machines Corporation, Hakuna Matata Solutions, ScienceSoft Inc., SumatoSoft, Space-O Technologies, HCL Technologies, and Tibco Software Inc. Technological advancement in digital solutions is the key trend gaining popularity in the digital transformation market. Major companies operating in the digital transformation market are focused on developing technologically advanced products to strengthen their market position. For instance, in April 2020, Oracle Corporation, a US-based computer technology corporation and software solutions provider, built a new cloud data storage service called GoldenGate, an oracle’s cloud infrastructure software that uses real-time data analytics for the analysis of data. Real-time data analysis provides a very quick analysis of data by using different logical and mathematical operations, which helps in understanding business requirements and implementing any decision instantly. GoldenGate provides clients with a highly automated and fully managed cloud service such as database replication, analyzing real-time data, and real-time data ingestion to the cloud, which will make daily business operations easy and analyzable. In October 2021, Accenture plc, an Ireland-based professional services company, acquired Umlaut Systems Gmbh for an undisclosed amount. Through this acquisition, Accenture plc aims to enhance its engineering capabilities to help companies use digital technologies like cloud and artificial intelligence and add leading engineers and consultants from 17 countries across the globe to Accenture’s Industry X services, which would strengthen its capabilities in industries such as automotives, aerospace and defense, energy, telecom, and utilities. Umlaut Systems Gmbh is a Germany-based custom engineering solution provider that develops organisational culture, structure, and process. North America was the largest region in the digital transformation market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this digital transformation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the digital transformation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The digital transformation market includes revenues earned by entities by reducing operation costs to improve efficiency and customer satisfaction, generating data-based insights, and reducing human errors. 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 digital transformation market research report is one of a series of new reports from The Business Research Company that provides digital transformation market statistics, including digital transformation industry global market size, regional shares, competitors with a digital transformation market share, detailed digital transformation market segments, market trends and opportunities, and any further data you may need to thrive in the digital transformation industry. This digital transformation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.

Anomaly detection refers to the detection of unexpected occurrences, observations, or objects that greatly depart from the usual. Another name for it is outlier detection. Standard deviations, outliers, noise, novelty, and exceptions are other names for data anomalies. The main types of components in anomaly detection are services and solutions. Solution anomaly detection refers to a set of activities conducted for the development and sales of anomaly detection tools to provide solutions in the organization. Anomaly detection solutions are software that is commonly used by various firms using or managing large databases to provide smooth functioning of business operations. The anomaly detection is deployed on cloud, on-premises, and hybrid models and use several technologies such as big data analytics, data mining and business intelligence, machine learning and artificial intelligence. The various applications include intrusion detection, fraud detection, defect detection, and system health monitoring. It is employed in various verticals such as banking, financial services, and insurance (BFSI), retail, manufacturing, IT and telecom, government, aerospace, and defense, medical care, and others. The global anomaly detection market is segmented - 1) By Component: Solutions, Services 2) By Technology: Big Data Analytics, Data Mining and Business Intelligence, Machine Learning and Artificial Intelligence 3) By Deployment Type: Cloud, On-Premises, Hybrid 4) By Application: Intrusion Detection, Fraud Detection, Defect Detection, System Health Monitoring 5) By Vertical: Banking, Financial Services, and Insurance (BFSI), Retail, Manufacturing, IT and Telecom, Government, Aerospace and Defence, Medical Care, Other Verticals The global anomaly detection market size will grow from $4.43 billion in 2022 to $5.11 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 anomaly detection is expected to grow to $8.96 billion in 2027 at a CAGR of 15.1%. The increasing number of connected devices is expected to propel the growth of the anomaly detection market going forward. Connected devices are physical smart devices that can be connected via the internet with each other to share data and information within an organization. Anomaly detection is commonly used on connected devices for monitoring the devices connected to a network and to protect data traffic in an organization or household. For instance, according to an article published by DataProt, a US-based website dedicated to providing information about cybersecurity products, in 2021, there were more than 10 billion active connected devices in the world which are expected to surpass 25 billion connected devices by 2030. Therefore, the growing number of connected devices is driving the anomaly detection market growth. Major players in the anomaly detection market are SAS Institute Inc., Cisco Systems Inc., Dell Inc., Hewlett Packard Enterprise Company, Symantec Corp, Trend Micro Incorporated, Splunk Inc., Wipro Limited, Securonix Inc., Gurucul, Guardian Analytics, Happiest Minds, International Business Machines Corporation, Verint Systems Inc., Anodot Ltd., Microsoft Corp, Flowmon Networks, LogRhythm Inc., Rapid7 Inc., Trustwave Holdings Inc., Varonis Systems Inc., and WSO2 Inc. Technology advancement is a trend gaining popularity in the anomaly detection market. The major companies operating in the anomaly detection market are focused on developing technologically advanced products to strengthen their market position. For instance, in February 2020, Cisco Systems, a US-based technology company, introduced its advanced new machine learning capabilities for IoT control management known as Cisco Cyber Vision. It is based on the Cisco IOx network operating system, which offers both information technology (IT) and operational technology solutions capable of collaborating to provide cyber threat protection within existing IT security tools and industrial operations. It would be used to optimize billing and improve data security by providing anomaly detection and smart billing options in connectivity management platforms for clients using new wireless technologies such as 5G, Wi-Fi 6, and new advanced IoT industrial devices, increasing customer satisfaction. In November 2021, Progress Software Corporation, a US-based software company, acquired Kemp Technologies for an undisclosed amount. With this acquisition, Progress would extend its capabilities with the addition of Application Experience management to its portfolio of market-leading products in DevOps, Application Development, Data Connectivity, and Digital Experience. Kemp Technologies is a US-based company that provides anomaly detection services. North America was the largest region in the anomaly detection market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the anomaly detection market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the anomaly detection market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The anomaly detection market includes revenues earned by entities by providing detection techniques assisting the chaotic engineering monitoring effort by spotting outliers and alerting the appropriate parties to take action. 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 anomaly detections market research report is one of a series of new reports from The Business Research Company that provides Anomaly detections market statistics, including anomaly detections industry global market size, regional shares, competitors with an anomaly detections market share, detailed Anomaly detections market segments, market trends and opportunities, and any further data you may need to thrive in the anomaly detections industry. This anomaly detection 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.