Cognitive services are a set of tools and frameworks that helps businesses to build AI-infused applications and operationalize AI services quickly without the need for data scientists. These enable the computer to process pieces of external information. The cognitive services are used to implement artificial intelligence (AI) into several components for easy utilization in applications. The main service types of cognitive services are data transformation, cloud and web-based application programming interface, knowledge management, cognitive risk intelligence, data integration and cognitive automation, training and support, communication monitoring, consulting and advisory, and others. The different technologies include natural language processing, machine learning and deep learning. Natural language processing refers to the branch of computer science—specifically, the branch of artificial intelligence or AI concerning giving computers the ability to understand the text and spoken words in the same way that humans do. The natural language processing is used for text analytics, predictive text, language translation, digital phone calls, and data analysis. The different deployment modes include on-premises and cloud that are used in several applications such as predictive maintenance, marketing analysis, quality management investigation and recommendation, supply chain management, diagnosis and treatment systems, safety and security management, and other applications. The several end users include healthcare, banking, financial services, and insurance, it and telecommunication, retail, manufacturing, education, government, others. The cognitive services market research report is one of a series of new reports from The Business Research Company that provides cognitive services market statistics, including cognitive services industry global market size, regional shares, competitors with a cognitive services market share, detailed cognitive services market segments, market trends and opportunities, and any further data you may need to thrive in the cognitive services industry. This cognitive 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. The global cognitive services market size grew from $9.66 billion in 2022 to $13.3 billion in 2023 at a compound annual growth rate (CAGR) of 37.6%. 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 cognitive services market size is expected to grow to $48.03 billion in 2027 at a CAGR of 37.9%. An increase in data volume and complexity is expected to propel the growth of the cognitive services market going forward. The volume of data refers to the size of the data sets that must be evaluated and processed, which can be in the terabyte and petabyte range. With the increased use of social media, mobile, analytics, and the cloud paradigm, massive amounts of real-time, multimodal, unstructured, and redundant data are generated. Cognitive Services reduce data redundancy and result in faster big data processing. For instance, according to Tech Jury, a US-based business software solution company, 181 zettabytes of data will be produced globally by 2025. Therefore, an increase in data volume and complexity is driving the growth of the cognitive services market. Technological advancement is a key trend gaining popularity in the cognitive services market. Major players operating in the cognitive services sector is focused on developing and implementing new technologies to meet consumer demand and reinforce their position. For instance, in May 2022, Microsoft Corporation, a US-based technology company expanded the Azure OpenAI service with the help of InstructGPT. InstructGPT is a collection of GPT-3-based models that are less faulty and do not generate as much problematic text as their rivals. In January 2022, ei3 Corporation, a US-based company providing artificial intelligence technology acquired Cognitive Solutions and Innovation AG (COGSI AG) for an undisclosed amount. As a result of this acquisition, industrial clients of ei3 gain deep insights into their operations to reduce unplanned downtime in the future, improve asset efficiency, and increase sustainability. COGSI AG is a Switzerland-based company that provides cutting-edge artificial intelligence solutions for industrial manufacturing. Major players in the cognitive services market are IBM Corporation, Amazon Web Services, Inc., Google LLC, Nuance Communications, SAS Institute Inc., Microsoft Corporation, Attivio Inc., Tata Consultancy Services Limited, Qualcomm Technologies Inc., Nokia Corporation, Infosys Limited, Wipro Limited, Enterra Solutions LLC, Apple Inc., and BMC Software. North America was the largest region in the cognitive services market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the cognitive services market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the cognitive services market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The cognitive services market includes revenues earned by entities by providing data transformation, cloud and web-based application programming interface, knowledge management, cognitive risk intelligence, data integration and cognitive automation, training and support, communication monitoring, and consulting and advisory. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global cognitive services market is segmented - 1) By Service Type: Data Transformation, Cloud and Web-Based Application Programming Interface, Knowledge Management, Cognitive Risk Intelligence, Data Integration and Cognitive Automation, Training and Support, Communication Monitoring, Consulting and Advisory, Other Service Types 2) By Deployment: On-Premises, Cloud 3) By Technology Type: Natural Language Processing, Machine Learning and Deep Learning 4) By Application: Predictive Maintenance, Marketing Analysis, Quality Management Investigation And Recommendation, Supply Chain Management, Diagnosis And Treatment System, Safety And Security Management, Other Applications 5) By End User: Healthcare, Banking, Financial Services, and Insurance, IT and Telecommunication, Retail, Manufacturing, Education, Government, Other End Users

Speech analytics is the process of using voice recognition software to analyze voice recordings or live calls from customers to contact centers, find useful information, and provide quality assurance. The components of speech analytics include solutions and services. The solutions in the speech analytics market consist of the sales of speech analytics solutions by entities (organizations, partnerships, and sole proprietors) that are used for analyzing the conversation. A speech analytics solution concentrates on words spoken during a recorded phone call. This technology organizes the content of agent-customer conversations by transforming speech into text. The deployment mode used by speech analytics includes on-premises and cloud. The speech analytics solutions and services are used in customer experience management, call monitoring and summarization, agent performance monitoring, sales and marketing management, risk and compliance management, and sentiment analysis, by large enterprises and small and medium-sized enterprises (SMEs). The industry verticals utilizing speech analytics solutions and services include banking financial services and insurance (BFSI), IT and telecom, media and entertainment, retail and eCommerce, travel and hospitality, government and defense, healthcare and life sciences, and other verticals. The speech analytics market research report is one of a series of new reports from The Business Research Company that provides speech analytics market statistics, including speech analytics industry global market size, regional shares, competitors with a speech analytics market share, detailed speech analytics market segments, market trends and opportunities, and any further data you may need to thrive in the speech analytics industry. This speech analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry. The global speech analytics market size grew from $2.13 billion in 2022 to $2.64 billion in 2023 at a compound annual growth rate (CAGR) of 24.0%. 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 speech analytics market size is expected to grow to $6.34 billion in 2027 at a CAGR of 24.5%. The high adoption of speech analytics by companies is significantly driving the growth of the speech analytics market. Since speech analytics help in problem identification, customer experience enhancement as well as sentiment analysis, companies across various industrial segments are adopting speech analytics rapidly. This creates a huge scope for future development of speech analytics technology by key companies through partnerships and strategic alliances. For instance, in September 2021, Scotiabank partnered with Google Cloud to strengthen the bank's cloud-first commitment and speed up its global speech, text, and data analytics strategy. Google Cloud, as a Scotiabank trusted partner for analytics, will assist Scotiabank customers in the Americas and around the world in creating a more personalized and predictive banking experience. This partnership helps Scotiabank to offer more customized banking services by adopting speech and data analytics using Google Cloud. Hence, the increasing adoption of speech analytics by companies is expected to propel the growth of the speech analytics market over the coming years. Using advanced technology is a key trend gaining popularity in the speech analytics market. Major companies operating in the speech analytics sector are focused on developing new technological solutions to strengthen their position. For instance, in April 2021, Verint released the Verint Intelligent Virtual Assistant Professional (IVA Pro) Package, a low-code conversational artificial intelligence (AI) offering that can transform existing conversation data into automated self-service experiences quickly. The package, which is included in Verint's market-leading Intelligent Virtual Assistant (IVA) offering, enables business professionals to quickly deploy a production-ready chatbot to deflect calls and provide customer support. With boundless intelligence for both voice and digital, Verint IVA enables businesses to expand capabilities across the enterprise. In January 2021, Pegasystems Inc., a software company based in the United States that specializes in reducing business complexity, completed the acquisition of Qurious.io, a California-based provider of cloud-based real-time speech analytics solutions for customer service teams powered by artificial intelligence (AI), for an undisclosed sum. This acquisition allows Pegasystems to expand its customer service and bring its intelligent speech analytics software to hundreds of the world's most important brands. Major players in the speech analytics market are NICE Ltd., Verint, Avaya Holdings Corporation, OpenText, Genesys, Calabrio Inc., Clarabridge, Castel Communications, VoiceBase, Google, Vonage, Micro Focus, Zoom International, Almawave, Talkdesk, Alvaria, and Hewlett Packard Enterprise Company. North America was the largest region in the speech analytics market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the speech analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the speech analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The speech analytics market includes revenues earned by entities by providing solutions that understand, analyse, and derive insights from a voice conversation by utilising AI services such as transcription, natural language processing, and speech technologies. Speech analytics is a software application that transcribes the voice calls and extracts deep insights, trends, and metrics from each one. These insights are then used to evaluate agent performance, assess customer experience, and track the organization's overall strengths and weaknesses in every voice interaction. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global speech analytics market is segmented - 1) By Components: Solutions, Services 2) By Deployment Mode: Cloud, On-premises 3) By Organization Size: Large enterprises, Small and Medium-Sized Enterprises (SMEs) 4) By Applications: Customer Experience Management, Call Monitoring and Summarization, Agent Performance Monitoring, Sales and Marketing Management, Risk and Compliance Management, Sentiment Analysis 5) By Vertical: Banking Finance Services and Insurance (BFSI), IT and Telecom, Media and Entertainment, Retail and eCommerce, Travel and Hospitality, Government and Defence, Healthcare and life sciences, Other Verticals

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 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. 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 global artificial intelligence services market size 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. 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. 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. 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. The regions covered in the global artificial intelligence services market 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 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

Information technology (IT) is the use of computers, storage, networking and other physical devices, infrastructure and processes to create, process, store, secure and exchange all forms of electronic data. The main type of information technology (IT) are IT services, computer hardware, telecom, and software products. Computer hardware is the physical components that a computer system requires to function and encompasses everything within a PC or laptop. The services are used by large, small, and medium enterprises of financial services, retail and wholesale, manufacturing, healthcare and others. The information technology (IT) market research report is one of a series of new reports from The Business Research Company that provides information technology (IT) market statistics, including information technology (IT) industry global market size, regional shares, competitors with information technology (IT) market share, detailed information technology (IT) market segments, market trends and opportunities, and any further data you may need to thrive in the information technology (IT) industry. This information technology (IT) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global information technology market grew from $8179.48 billion in 2022 to $8852.41 billion in 2023 at a compound annual growth rate (CAGR) of 8.2%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The information technology market is expected to grow to $11995.97 billion in 2027 at a CAGR of 7.9%. The demand for cloud computing services is expected to drive the demand for IT services during the forecast period. In the cloud computing model, data is stored on the internet by a cloud computing provider, who manages and operates data storage as a service. Many companies are now choosing applications hosted in the cloud for their day-to-day operations. For example, according to statistics provided by hostingtribunal.com, 60% of computing workloads were running in the public cloud in 2019. Similarly, 94% of enterprise workloads are expected to be processed by cloud data centers in 2021. Companies are also opting for cloud-based data storage, thus boosting the demand for IT services. The outbreak of COVID-19 disease (COVID-19) has acted as a significant restraint on the information technology market in 2020 as supply chains were disrupted due to trade restrictions and employees working for these establishments faced difficulties related to infrastructure and communication owing to lockdowns imposed by governments globally, forcing them to work from home. COVID-19 is an infectious disease with flu-like symptoms including fever, cough, and difficulty in breathing. The virus was first identified in 2019 in Wuhan, Hubei province of the People’s Republic of China and spread globally, including Western Europe, North America, and Asia. Steps by national governments to contain the transmission have resulted in a decline in economic activity, with countries entering a state of 'lock down,' and the outbreak had a negative impact on businesses throughout 2020 and into 2021. However, it is expected that the information technology market will recover from the shock across the forecast period as it is a 'black swan event and not related to ongoing or fundamental weaknesses in the market or the global economy. Over the past five years there has been an increasing prevalence of low cost open source alternatives. Open source has become a preferred platform for developing new technology. In the past, software publishers would open source software that was not making money, but now companies are open sourcing software to increase their presence and share in the market. Supabase, a YC-incubated startup that offers developers an open-source alternative, announced that it had raised a $6 million in funding to create new open-source tools. Major companies in the information technology (IT) market include Apple, Microsoft, Verizon Communications, China Mobile, AT&T Inc., Huawei, Deutsche Telekom AG, Dell Technologies Inc., Samsung Electronics Co., Ltd. and Comcast Corporation. Asia-Pacific was the largest region in the information technology (IT) market in 2022. North America was the second largest region of the information technology market. The regions covered in the information technology market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the information technology (IT) market are Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela and Vietnam. Major companies in the information technology (IT) market include Apple, Microsoft, Verizon Communications, China Mobile, AT&T Inc., Huawei, Deutsche Telekom AG, Dell Technologies Inc., Samsung Electronics Co., Ltd. and Comcast Corporation. Asia-Pacific was the largest region in the information technology (IT) market in 2022. North America was the second largest region of the information technology market. The regions covered in the information technology market are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the information technology (IT) market are Argentina, Australia, Austria, Belgium, Brazil, Canada, Chile, China, Colombia, Czech Republic, Denmark, Egypt, Finland, France, Germany, Hong Kong, India, Indonesia, Ireland, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Romania, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Thailand, Turkey, UAE, UK, USA, Venezuela and Vietnam. The information technology (IT) market consists of revenues earned by entities by providing IT services such as computer networking, broadcasting, systems design services and information distribution technologies like television and telephones and other equipment used during the process. The market value includes the value of related goods sold by the service provider or included within the service offering. The information technology market also includes sales of computers, computer peripherals and telecommunications equipment which are used in providing IT services. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global information technology market is segmented - 1) By Type: IT Services, Computer Hardware, Telecom, Software Products 2) By Organization Size: Large Enterprise, Small and Medium Enterprise 3) End User Industry: Financial Services, Retail & Wholesale, Manufacturing, Healthcare, Other End User Industries Subsegments Covered: Hardware Support Services, Software And BPO Services, Cloud Services, Computer Peripheral Equipment, Computer Storage Devices And Servers, Computers, Wireless Telecommunication Carriers, Wired Telecommunication Carriers, Communications Hardware, Satellite & Telecommunication Resellers, Operating Systems & Productivity Software Publishing, Database, Storage & Backup Software Publishing, Business Analytics & Enterprise Software, Video Game Software, Design, Editing & Rendering Software

The gesture recognition refer to a type of perceptual computing user interface that enables computers to recognize and understand human gestures as orders. Gesture recognition entails tracking a human position, orientation, or movement and then interpreting it to distinguish semantically significant gestures. It is utilized for Human-Computer Connection (HCI), a type of human-machine interaction that uses just physical actions rather than voice. The main types of gesture recognition are online gestures and offline gestures. Online gestures are real-time gestures that use technology where the hand surface is extracted from the background by the subtraction method. The various authentication types include finger-print recognition, face recognition, vision and iris recognition, and hand and leg recognition based on touch-based and touchless technology. It is used across several industries such as automotive, consumer electronics, healthcare, finance and banking, advertisement and communication, defense, government, and other industries. The gesture recognition market research report is one of a series of new reports from The Business Research Company that provides gesture recognition market statistics, including gesture recognition industry global market size, regional shares, competitors with a gesture recognition market share, detailed gesture recognition market segments, market trends and opportunities, and any further data you may need to thrive in the gesture recognition industry. This gesture recognition market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry. The global gesture recognition market size grew from $16.44 billion in 2022 to $20.14 billion in 2023 at a compound annual growth rate (CAGR) of 22.5%. 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 gesture recognition market size is expected to grow to $46.27 billion in 2027 at a CAGR of 23.1%. The growing digitalization is propelling the growth of the gesture recognition market. Many companies and organizations are adopting biometrics solutions that help in the digitalization of large processes. Biometrics s a scientific method of identifying a person's gestures by measuring their physical and/or behavioral features that are used for different applications like mobiles, laptops, and screenings. The rise of biometrics is increasing due to businesses realizing the benefits of biometric technologies in terms of security and ease of their operations. According to Imageware, a US-based biometric identification and authentication solutions company, global biometric technology is expected to reach $55.42 billion by 2027. Therefore, the growing digitalization is driving the growth of the gesture recognition market. Technological advancement is a key trend gaining popularity in the gesture recognition market. Major companies operating in the gesture recognition market are focused on developing new technological solutions to meet consumer demand and strengthen their position. In December 2020, LamasaTech, an England-based interactive touch screen technology has launched VisiPoint, a gesture recognition platform designed for visitor and employee sign-in with temperature screening. An organization can utilize the compliance creator to build an agreement, such as an NDA or site terms and conditions, or a questionnaire, such as a CDC/health screening questionnaire, that will be displayed to users on-screen during the sign-in process. Users can deliver a yes or no answer just by raising a thumbs up or thumbs down in front of the camera, keeping the transaction fully contactless. Every time a user enters, compliance checks might be displayed. Organizations will be able to remotely monitor entry logs, analyze temperature data, and modify device settings due to VisiPoint Cloud. In January 2021, Qualcomm, a US-based company acquired Clay AIR for an undisclosed amount. The acquisition is expected to strengthen Qualcomm’s XR technology stack with the inclusion of Clay AIR's highly accurate and power-efficient hardware-agnostic technology and industry-leading team of computer vision, interaction design, and machine learning professionals. Clay AIR is a US-based AI-powered hand tracking and gesture recognition technology company. Major players in the gesture recognition market are Apple, Cognitec Systems, Intel Corporation, Microchip Technology, Qualcomm, Synaptics, Google, GestureTek, IrisGuard UK Ltd., PointGrab Ltd., Cipia, HID Global, Ultraleap, iProov Limited, and Oblong Industries. North America was the largest region in the gesture recognition market in 2022. The regions covered in the gesture recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the gesture recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, and USA. The gesture recognition market includes revenues earned by entities by workout tracking to in-store monitoring, gesture recognition services, voice recognition, image recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global gesture recognition market is segmented - 1) By Type: Online Gesture, Offline Gesture 2) By Technology: Touch-Based, Touchless 3) By Authentication Type: Finger Print Recognition, Face Recognition, Vision And IRIS Recognition, Hand And Leg Recognition 4) By Industry: Automotive, Consumer Electronics, Sports, Healthcare, Advertisement And Communication, Aerospace And Defense, Government, Other Industries

Natural language processing (NLP) is a field of artificial intelligence enable computers to understand and analyze human language. NLP helps the computer using artificial intelligence to take real-world input and make sense of it in a way a computer can understand. Computers collect information through microphones and programs. The main types of NLP are text, speech/voice, and image. Text analytics is an artificial intelligence (AI) technique that employs NLP to convert the free (unstructured) text in documents and databases into normalized, structured data suitable for analysis or as input to machine learning (ML) algorithms. NLP can be deployed on-premise, cloud in a hybrid or statistical components that have applications in automatic summarization, sentiment analysis, risk, and threat detection. There are various end-users such as education, BFSI, healthcare, IT and telecom, retail, manufacturing, media and entertainment, and others. The natural language processing (NLP) market research report is one of a series of new reports from The Business Research Company that provides natural language processing (NLP) market statistics, including natural language processing (NLP) industry global market size, regional shares, competitors with a natural language processing (NLP) market share, detailed natural language processing (NLP) market segments, market trends and opportunities, and any further data you may need to thrive in the natural language processing (NLP) industry. This natural language processing (NLP) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global natural language processing (NLP) market size grew from $19.48 billion in 2022 to $25.03 billion in 2023 at a compound annual growth rate (CAGR) of 28.5%. 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 natural language processing (NLP) market size is expected to grow to $69.17 billion in 2027 at a CAGR of 28.9%. The increase in usage of smart devices is driving the growth of the NLP market. Smart devices are electronic devices that are connected to networks or other devices via wireless modes. Smart devices are paired with NLP to process and analyze voice commands given by users. For instance, according to DataReportal, an online data, and insights agency, the number of smartphones in use is growing at a 5.7% annual rate, with an average of 1 million new smartphones in use every day. Therefore, increasing usage of smart devices is expected to drive the growth of the NLP market going forward. Technology advancements have emerged as a key trend gaining popularity in the NLP market. Major companies operating in the market are upgrading and launching technologically advanced NLP software for market growth. For instance, in September 2021, Melax Tech, a US-based software company, launched Mercury NLP based on AI technology. The Mercury NLP is new software that includes clinical NLP pipelines for extracting useful unstructured textual medical data for quantitative analytics in fields such as medicine and pharmaceuticals. Mercury NLP software extracts text data from diagnoses, recommended medications, tests, lab results, discharge plans, and more in real-time. The technique can also be used to improve public health by analyzing social determinants of health data. In March 2022, Microsoft Corp., a US-based technology company, acquired Nuance Communications Inc., for an undisclosed amount. This acquisition will help providers to offer more effective, affordable, and accessible healthcare, and help organizations create more personalized customer experiences. Nuance Communications is a US-based company that operates in ambient intelligence, NLP, and conversational AI across industries including financial services, healthcare, retail, and telecommunications. Major players in the NLP market are 3M Company, Apple Inc., FUJIFILM Holdings Corporation, Google LLC, Intel Corporation, International Business Machines Corporation, Meta Platforms Inc., Microsoft Corporation, NetBase Quid Inc., Nokia Corporation, SAS Institute Inc., Gnani Innovations Private Limited, Mihup Communications Private Limited, and Observe.AI. North America was the largest region in the NLP market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the NLP market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the NLP market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The natural language processing market includes revenues earned by entities by providing software tools that automate the processes for text summarization, text extraction, text classification, analyzing user language partners, and smart assistance using machine learning and artificial intelligence technology.  The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global natural language processing nlp market is segmented - 1) By Processing Type: Text, Speech Or Voice, Image 2) By Deployment: On-Premise, Cloud 3) By Component: Statistical, Hybrid 4) By Application: Automatic Summarization, Sentiment Analysis, Risk And Threat Detection 5) By End User Industry: Education, BFSI, Healthcare, IT And Telecom, Retail, Manufacturing, Media And Entertainment, Other End User Industries

Cognitive assessment and training refer to the mental process of learning and comprehending things through senses and experience. An individual's psychological processes and rate of information processing are formally evaluated in cognitive learning. The main types of components for the cognitive assessment and training market are solutions and services. Solutions in the market consist of offerings such as assessment, data management, data analysis, and reporting and cognitive training. Services in the market consist of services such as training and support or consulting by the providers. The components are used in small and medium-sized enterprises (SMEs), and large enterprises. These are used by healthcare and life sciences, education, corporate, and others. These are applied to clinical trials, learning, research, and others. The cognitive assessment and training market research report is one of a series of new reports from The Business Research Company that provides cognitive assessment and training market statistics, including cognitive assessment and training industry global market size, regional shares, competitors with acognitive assessment and training market share, detailed cognitive assessment and training market segments, market trends and opportunities, and any further data you may need to thrive in the cognitive assessment and training industry. This cognitive assessment and training market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global cognitive assessment and training market size grew from $3.98 billion in 2022 to $4.94 billion in 2023 at a compound annual growth rate (CAGR) of 24.1%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The cognitive assessment and training market size is expected to grow to $12.31 billion in 2027 at a CAGR of 25.6%. Increased adoption of e-learning is expected to propel the growth of the cognitive assessment and training market during the forecast period. The delivery of learning and training through digital resources such as computers is known as eLearning. Assessment is an important aspect of the online classroom. A cognitive assessment offers a profile of an individual's academic abilities and challenges, as it provides a managed snapshot of their performance, thus helping to track progress in e-learning. There has been a significant increase in the adoption of e-learning, which in turn has increased the demand for cognitive testing. According to the e-learning statistics 2020 published by EdApp, a company that creates micro-learning-based learning management systems, the global e-learning industry grew by 200% to a value of $250 billion between 2017 and 2020. Moreover, the e-learning market is projected to reach over $300 billion by 2025. Therefore, increased adoption of e-learning drives the growth of the cognitive assessment and training market. Key players focusing on developing mobile applications and software equipped with the latest technologies such as artificial intelligence and the Internet of Things are shaping the cognitive assessment and training market. The companies are focusing on technological innovations and new product launches for better and enhanced results and product offerings to the market. For instance, in October 2022, S2 Cognition, a US-based sports company, launched Mobile Testing Lab for athletes. The Mobile Testing Lab offers cognitive assessments to event venues hosting large groups of athletes for tournaments and camps. In January 2020, Alpine Investors' portfolio firm, Riverside Insights, a US-based publisher of clinical and educational standardized tests acquired ImPACT Applications, Inc., for an undisclosed amount. Alpine continues its policy of catalyzing growth by partnering with complementary companies in the education and healthcare sectors. With the acquisition of ImPACT Applications, Riverside strengthens its offerings in the healthcare and education sector. ImPACT Applications, Inc., is a US-based provider of research-backed concussion assessments. The company provides FDA-cleared immediate post-concussion assessment and cognitive testing for ages 12-59 which involves processing speed, memory, and visual-motor abilities of the brain. Major players in the cognitive assessment and training market are Cambridge Cognition, Cogstate, Pearson, CogniFit, Lumosity, Posit Science Corp., Bracket Global, Neurocog Trials Inc., Total Brain, Medavante Inc., Signant Health, ProPhase LLC, CNS Vital Signs, LearningRX, Listen and Learn Centre, Philips, MedAvante-ProPhase, VeraSci, Oxford Learning, MeritTrac, Berke, Neurotrack, GL Assessment, Savonix, Winterlight Labs, Aural Analytics, Unmind, and Altoida Inc., North America was the largest region in the global cognitive assessment and training market in 2022. Asia-Pacific is expected to grow faster in the forecast period. The regions covered in the cognitive assessment and training market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the cognitive assessment and training market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, and USA. The cognitive assessment and training market includes revenues earned by entities by offering solutions that can be used for analyzing IQ or degree of intelligence, perceptual abilities, verbal and nonverbal skills, and other factors to cater to various industries. A standardized examination that assesses a person's psychological functioning and speed of information processing is called cognitive assessment and preparation. These assessments aid in more effectively identifying and acting on human needs. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global cognitive assessment and training market is segmented - 1) By Component: Solutions, Services 2) By Organization Size: Small And Medium-sized Enterprises (SMEs), Large Enterprises 3) By Vertical: Healthcare And Life Sciences, Education, Corporate, Other Verticals 4) By Application: Clinical Trials, Learning, Research, Other Applications

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