AI In Media and Entertainment Global Market Report 2023 – By Solution (Hardware Equipment, Services), By Product (Simulation FX, Animation, Modelling, Matte Painting, Compositing), By Application (Gaming, Fake Story Detection, Plagiarism Detection, Personalization, Production Planning and Management, Sales and Marketing, Talent Identification, Content Capture, Sports Automatic Productions) – Market Size, Trends, And Global Forecast 2023-2032

AI-in fashion refers to an advisor that is being used to recommend clothes based on the customer’s height, weight, shape, and current size. AI in fashion is used in product recommendation, product search and discovery, supply chain management and demand planning, creative designing and trend forecasting, customer relationship management, virtual assistant, others. The main types of AI in fashion are apparels, accessories, footwear, beauty and cosmetics, jewelry. Apparels refer to clothing or outer garments. They are deployed on cloud, on-premise using components such as solution, services. The applications of these are customer relationship management, virtual assistants, product recommendation, product search and discovery, supply chain management and demand forecasting, creative designing and trend forecasting used across various industries such as fashion designers, fashion stores. The global ai in fashion market is segmented - 1) By Category: Apparels, Accessories, Footwear, Beauty And Cosmetics, Jewelry 2) By Deployment Mode: Cloud, On-premise 3) By Components: Solution, Services 4) By Application: Customer Relationship Management, Virtual Assistants, Product Recommendation, Product Search And Discovery, Supply Chain Management And Demand Forecasting, Creative Designing And Trend Forecasting 5) By End Users: Fashion Designers, Fashion Stores The global ai in fashion market size will grow from $0.65 billion in 2022 to $0.91 billion in 2023 at a compound annual growth rate (CAGR) of 40.0%. 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 ai in fashion is expected to grow to $3.72 billion in 2027 at a CAGR of 42.0%. The growing influence of social media on the fashion industry is driving the growth of AI in fashion market. Social media is a primary source of information for the fashion industry as there are many opinions and information from all sources globally. Fashion today is mainly dependent on brand promotion and fashion influencers that use social media to communicate their views on fashion. For instance, according to influencer marketing hub, a social media resource for influencers, the marketing influencer market size will grow from $ 9.7 billion in 2020 to $ 13.8 billion in 2021. The increasing popularity of short video formats on platforms like TikTok, Facebook, and YouTube, as well as the impact of the global pandemic on consumers, which catalyzed social media consumption, and the optimization of data collection, which marketers used for social media ads, are all contributing to this growth. Such growing influence of social media is driving the growth of the ai in fashion market. Major players in the ai in fashion market are Microsoft, IBM, AWS, SAP, Facebook, Adobe, Oracle, Catchoom, Huawei, Wide Eyes, FindMine, Intelistyle, Lily AI, Pttrns.ai, Syte, mode.ai, Stitch Fix, and Alphabet Inc., (Google). Machine learning are shaping the AI in fashion market. Machine learning is a part of artificial intelligence which defines the capabilities of the machine to copy human behavior. A machine can understand visualize and perform an action that helps in providing better information and suggestions to customers according to their behavior. For instance, in April 2021, Tommy Hilfiger, a renowned designer fashion brand applied machine-learning tools for product images of 15,000, and 600,000 publicly available runway images, and almost 100,000 fabric patterns sites. The applied AI gave insights into trending colors, and patterns, silhouettes to Tommy Hilfiger’s style. In September 2021, Syte company, an Israel-based software development company acquired Slyce for an undisclosed amount. Through this acquisition, Syte wants to expand its market in North America and support new and old clients. Slyce, is a US-based visual search company that has integrated apps and website technology for more than 60 retailers. North America was the largest region in the AI in fashion market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in AI in fashion report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the AI in fashion market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The AI-in fashion market includes revenues earned by entities by providing services such as trend forecasting, creating better fit, and authenticating items to prevent knockoffs, streamlining, and manufacturing, reducing returns. 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 AI in fashion market research report is one of a series of new reports from The Business Research Company that provides AI in fashion market statistics, including AI in fashion industry global market size, regional shares, competitors with the AI in fashion market share, detailed AI in fashion market segments, market trends and opportunities, and any further data you may need to thrive in the AI in fashion industry. This AI in fashion market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) in fintech refers to a technology used in the fintech space. AI is a part of fintech companies in terms of collection of data, analyzing information, securing and facilitating transactions, creating customer-centric products, and streamlining processes. It provides stronger security, better analytics, and insights, virtual assistance, and chatbots. The main types of products in AI in fintech are solutions and services. The AI as a solution in fintech consists of decision making, automated customer support, fraud detections, claims management, and automated virtual financial assistants. The deployment modes are cloud and on-premise. The applications include asset management, risk investigation, business analytics, regulatory compliance, data collection, predictive analytics, virtual assistance, and others. The global AI in fintech market is segmented - 1) By Type: Solutions, Services 2) By Deployment: Cloud, On-premise 3) By Application: Asset Management, Risk Investigation, Business Analytics, Regulatory Compliance, Data Collection, Predictive Analytics, Virtual Assistance, Other Applications The global AI in fintech market size will grow from $9.15 billion in 2022 to $11.59 billion in 2023 at a compound annual growth rate (CAGR) of 26.8%. 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 fintech is expected to grow to $31.71 billion in 2027 at a CAGR of 28.6%. The need for fraud detection in fintech or financial institutions is contributing to the growth of AI in the fintech market. Artificial intelligence, or machine learning algorithms, can learn new information from the data collected, the more data that AI manipulates, the more AI can be learned, and the banks can gain deeper insights with AI technology. The biggest advantage of AI is that over time the algorithm builds on collecting more data and learning more about how to use it. The advantage is that it starts the moment the AI is deployed and continues to grow without interruption of contribution. According to PricewaterhouseCoopers’s survey in 2022, a UK-based financial service provider, in the previous 24 months, fraud, corruption, or other economic crimes were reported by 46% of the organizations polled. Moreover, in September 2021, according to the FintechNews, a Switzerland-based financial and fintech firm, banks are deploying AI-based solutions at an unprecedented rate, spending more than $217 billion on AI applications for middle-office use cases including fraud prevention and risk assessment. The need for fraud detection in fintech drives the market for AI in fintech. Major players in the AI in fintech market are Microsoft, Google, IBM Corporation, Intel Corporation, Amazon Web Services, IPsoft, Salesforce Inc., Nuance Communications, Next IT Corporation, Trifacta Software Inc., Inbenta Technologies, Zeitgold GmbH, and Onfido. Technological Advancement is the key trend gaining popularity in the AI in the fintech market. For instance, in 2021, In India, the Robo-advisory technology refers to the digital platforms that provide financial advice through AI, driven software with zero human intervention. It advises the people to pick up the right stock and even suggests replacing the existing stock in the portfolio based on the factors related to valuations, governance, and performance other things. In May 2020, Cleareye.ai, Inc., a US-based fintech company, acquired AIWare.ai for an undisclosed deal amount. Through this acquisition, Cleareye.ai combines both company teams of AIWare.ai and Cleareye.ai to strengthen their ability to offer solutions such as leveraging artificial intelligence, bionic automation, and advanced analytics. Aiware.ai is an Indian startup that specializes in AI and provides services in the fintech industry. North America was the largest region in the AI in fintech market in 2022. The regions covered in the AI in fintech 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 fintech market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The artificial intelligence (AI) in fintech market consists of sales of web development services, big data development services, custom software development, DevOps services, IoT development services, outsourcing software development. 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 AI in fintech market research report is one of a series of new reports from The Business Research Company that provides AI in fintech market statistics, including AI in fintech industry global market size, regional shares, competitors with an AI in fintech market share, detailed ai in fintech market segments, market trends and opportunities, and any further data you may need to thrive in the AI in fintech industry. This AI in fintech 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.

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.

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.

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 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.