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

Automatic content recognition refers to a client application's (typically a smartphone or media tablet app's) ability to identify a content element within its proximity to audio, video, or digital image by sampling a portion of the audio or video (or image), processing the sample, and comparing it with a source service that identifies content by unique characteristics such as audio or video fingerprints or watermarks. The automatic content recognition are used to help viewers or listeners remember details about the content they watched or heard. The main types of automatic content recognition are audio, video, & image recognition, voice & speech recognition, real-time content analytics, security & copyright management. Automatic content recognition is used by the audio, video, & image recognition for a computer-powered camera's capacity to recognize and detect objects or features in a digital image or video. Audio, video, & image recognition refer to software's capacity to recognize things, locations, people, writing, and actions in images. The components are of hardware, software which are deployed either on cloud, on-premises. The applications are audience segmentation & measurement, broadcast monitoring, advertisement targeting & pricing, content filtering, and other applications. The verticals include media and entertainment, consumer electronics, retail & e-commerce, education, and automotive. The automatic content recognition market research report is one of a series of new reports from The Business Research Company that provides automatic content recognition market statistics, including automatic content recognition industry global market size, regional shares, competitors with an automatic content recognition market share, detailed automatic content recognition market segments, market trends and opportunities, and any further data you may need to thrive in the automatic content recognition industry. This automatic content recognition 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 automatic content recognition market size grew from $3.41 billion in 2022 to $4.4 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 automatic content recognition market size is expected to grow to $12.62 billion in 2027 at a CAGR of 30.1%. The rising use of smart devices and content streaming services is expected to propel the growth of the automatic content recognition market. Smart TVs are essentially televisions with built-in streaming apps, that can stream content (video, music, movies, and sports) using a streaming device or app by connecting the TV or home theatre to the internet. Due to the pandemic (COVID-19), many people will be confined at home starting in 2020, and smart devices and content streaming devices are skyrocketed and increased the subscribers for content streaming platforms. For instance, in June 2022, counterpoint a US-based technology research company published an article in the economic times stating that the Indian smart tv market raised to 33% in Q1 2022. Currently, 89% of India's TV market is made up of smart TVs. In February 2021, the business standard published an article stating that amazon fire tv users are been doubled in 2020 in India. Amazon did not provide sales figures for India but stated that the number of monthly active fire TV users worldwide surpassed 50 million users. Therefore, demand for automatic content recognition will rise as the prevalence of the increasing use of smart devices and content streaming services rises. Technological advancement is a key trend gaining popularity in automatic content recognition. Major companies in the automatic content recognition market are advancing in their new technologies and research and developing the automatic content recognition market. For instance, in August 2021, LumenVox a US-based speech recognition software company launched a new generation of automatic speech recognition (ASR). The unique features of ASR are a transcription engine built with deep machine learning and artificial intelligence (AI), DNN's (Deep Neural Network) end-to-end architecture, and processing skills for speech recognition. The system is more accessible to users since it can grow the language model more quickly and provide new toolsets for adding additional languages and dialects. The development of this innovative technology is another step forward in automatic content recognition. In March 2021, Roku, Inc a US-based company that manufactures a variety of digital media players for video streaming acquired Nielsen Advanced Video Advertising (AVA) business, for an undisclosed amount. As a result, this acquisition will facilitate Roku's introduction of an all-encompassing DAI solution with TV producers. Additionally, a strategic agreement between Nielsen and Roku will expand Nielsen ONE, the company's cross-media measurement solution, by integrating complementary Nielsen ad and content measurement solutions onto the Roku platform. Nielsen Holdings a US-based information, data, and market measurement company. Major players in the automatic content recognition market are IBM Corporation, Microsoft Corporation, Google LLC, Digimarc Corporation, Apple Inc., Nuance Communications, Inc., ArcSoft Corporation Limited., ACRCloud, Audible Magic Corporation, Vobile, Inc., Kantar Media, Ivitec, VoiceInteraction, Gracenote, VoiceBase, Inc., and Beatgrid Media B.V. Asia-Pacific was the largest region in the automatic content recognition market in 2022 and is expected to be the fastest-growing region in the forecast period. The regions covered in automatic content recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the automatic content recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The automatic content recognition market consists of revenues earned by entities by providing speech recognition and optical character recognition. 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 automatic content recognition market is segmented - 1) By Type: Audio, Video And Image Recognition, Voice And Speech Recognition, Real-Time Content Analytics, Security And Copyright Management 2) By Component: Hardware, Software 3) By Deployment: Cloud, On-Premises 4) By Application: Audience Segmentation And Measurement, Broadcast Monitoring, Advertisement Targeting And Pricing, Content Filtering, Other Applications 5) By Vertical: Media And entertainment, Consumer Electronics, Retail And E-commerce, Education, Automotive

Emotion detection and recognition refer to a technique that uses technologies such as facial recognition, speech and voice recognition, machine learning, biosensing, and pattern recognition to detect and recognize human emotions to make better decisions, improve focus and performance at work, manage stress, and adopt healthier and more productive working styles. The main software tool of emotion detection and recognition are facial expression and emotion recognition, gesture and posture recognition, and voice recognition. Facial Emotion Recognition (FER) is a technology that analyses facial expressions in static images and videos to reveal information about an individual's emotional state. The technologies used are pattern recognition network, machine learning, natural language processing and other technologies. The main end-users included are commercial, entertainment, retail and other end users. The emotion detection and recognition market research report is one of a series of new reports from The Business Research Company that provides emotion detection and recognition market statistics, including emotion detection and recognition industry global market size, regional shares, competitors with an emotion detection and recognition market share, detailed emotion detection and recognition market segments, market trends and opportunities, and any further data you may need to thrive in the emotion detection and recognition industry. This emotion detection and 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 emotion detection and recognition market size grew from $21.88 billion in 2022 to $25.32 billion in 2023 at a compound annual growth rate (CAGR) of 15.7%. 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 emotion detection and recognition market size is expected to grow to $45.24 billion in 2027 at a CAGR of 15.6%. The increasing IoT applications and adoption of wearable devices are expected to propel the growth of the emotion detection and recognition (EDR) market. The IoT applications and adoption of wearable devices are increasing due to various reasons such as a shift towards digital processes, productivity with reduced cost and efficiency, collection of accurate data, analysis, and others. This rising adoption of IoT and wearable devices will result in the use of emotion detection and recognition as EDR can be integrated into IoT applications and wearable devices to capture physiological, and behavioural data and responses to analyze and create automated responses based on emotion. This will help derive better decisions and improve the performance and functionalities of a business or product. For instance, according to the IoT statistics published in May 2022 by an independent review site DataProt, the number of active IoT devices is expected to surpass 25.4 billion by 2030. By 2025, 152,200 IoT devices will connect to the internet every minute. By 2025, Internet of Things solutions will have the potential to generate $4-11 trillion in economic value. IoT technology has improved the efficiency of 83% of organizations. It is predicted that global IoT spending will reach $15 trillion between 2019 and 2025. These statistics indicate that the IoT applications are increasing globally. Thus, the increasing IoT applications and adoption of wearable devices will drive the growth of the emotion detection and recognition (EDR) market. The wide use of emotion detection and recognition (EDR) in smart cars is a key trend gaining popularity in the emotion detection and recognition market. Smart cars are vehicles equipped with advanced electronics, technology, and software to improve mobility and safety. EDR is used in smart cars to recognize the emotions of the drivers such as from drowsiness detection for driver safety, to identifying whether the driver is attentive or distracted while driving, and building a highly personalized and intimate experience. An EDR software system installed in a device within the car collects data on driver behaviour through real-time facial analysis and alerts the driver, resulting in ensuring safety. For instance, Smart Eye, a Swedish AI company offers Interior Sensing solutions based on Emotion AI of its subsidiary Affectiva. This solution incorporates a camera and sensors in the car that capture data based on facial analysis of the driver to enable road safety and enhance the mobility experience. In January 2022, Raydiant, a US-based company that offers cloud-based digital signage technology to retail businesses and restaurants acquired Sightcorp for an undisclosed amount. With this acquisition, Raydiant's experience management platform will use Sightcorp's AI-powered analytics software to offer anonymous in-store screen engagement analytics for brands to increase sales and deliver optimized content while protecting consumer privacy. Sightcorp is a Netherland-based company offering AI-powered emotion recognition software. Major players in the emotion detection and recognition market are Affectiva, Beyond Verbal, Noldus Information Technology, Sentiance, Sightcorp, Realeyes, CrowdEmotion, Kairos AR Inc., nViso SA, SkyBiometry, Cognitec Systems, Cipia Vision Ltd., iMotions, Elliptic Labs and Kairos. North America was the largest region in the emotion detection and recognition market in 2022. The regions covered in emotion detection and recognition market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the emotion detection and recognition market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The emotion detection and recognition market includes revenues earned by entities by identification and recognition of human emotions using technological tools like biosensing, machine learning, speech and voice recognition, facial recognition, and pattern 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 emotion detection and recognition market is segmented - 1) By Software Tool: Facial Expression And Emotion Recognition, Gesture And Posture Recognition, Voice Recognition 2) By Technology: Pattern Recognition Network, Machine Learning, Natural Language Processing, Other Technologies 3) By End-User: Commercial, Entertainment, Retail, Other End Users

A voice assistant is a device or an application that uses speech recognition, natural language processing, and AI technology to respond to humans. The main components of the voice assistant application are solutions and services. Incorporating voice assistants such as Alexa, Google Assistant, and Siri into digital solutions or goods is referred to as service, and it gives customers another way to communicate with the team. The different deployment modes include on-premises, and cloud and are used in web applications, and mobile applications. It is implemented in various sectors such as banking, financial services, and insurance (BFSI), healthcare, retail, and e-commerce, media and entertainment, telecom and IT, manufacturing and automotive, education, travel and hospitality, and others. The voice assistant application market research report is one of a series of new reports from The Business Research Company that provides voice assistant application market statistics, including voice assistant application industry global market size, regional shares, competitors with a voice assistant application market share, detailed voice assistant application market segments, market trends and opportunities, and any further data you may need to thrive in the voice assistant application industry. This voice assistant application 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 voice assistant application market size grew from $3.43 billion in 2022 to $4.52 billion in 2023 at a compound annual growth rate (CAGR) of 32.0%. 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 voice assistant application market size is expected to grow to $13.66 billion in 2027 at a CAGR of 31.8%. The growing voice-enabled devices are contributing to the growth of the voice assistant application market. The voice-activated device recognizes spoken instructions and inquiries, and commonly employs text-to-speech to play a response. Over time, voice activation technology has aided in the provision of assistance, the management of customer experience, and increase productivity. Another layer of increased customer assistance and interactions has been added due to an app that includes Alexa, Siri, Google Assistant, and Cortana. For instance, according to Oberlo, a drop shipping app, in 2020, 111.8 million people in the USA using voice search features, up 9.5% from the previous year. By 2021, it is predicted to have grown by 9.7% to 122.7 million users. The AI-based voice assistant is a key trend gaining popularity in the voice assistant application market. Major companies operating in the voice assistant application sector are focused on developing AI-based voice assistants to offer users an alternative way to interact with their various business apps. For instance, in June 2022, Athenahealth, a US-based healthcare company that provides network-enabled services and mobile apps, introduced athenaOne, an AI-based voice assistant technology. AthenaOne is a completely integrated, mobile-integrated, voice-guided digital companion that speeds up information retrieval and enables healthcare workers to carry out clinical duties without using their hands. The new iOS-based mobile gadget enables doctors to naturally and reliably dictate medical paperwork while spending more time talking with patients. In April 2021, Microsoft Corporation, a US-based technology company acquired Nuance Communications for $19.7 billion. The acquisition elevates Microsoft as a prominent participant in healthcare technology by reducing the distance between clinicians and Microsoft Cloud for Healthcare. Nuance Communications is a US-based company that provides AI-based voice assistants. Major players in the voice assistant application market are Amazon Web Services, Apple, Baidu Inc., Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, Samsung, Verbio, Orange S.A, Orbita, Avaamo Inc., Avaya, Inbenta, and Slang Labs. North America was the largest region in the voice assistant application market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the voice assistant application report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa. The countries covered in the voice assistant application market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The voice assistant application market includes revenues earned by entities by providing application solutions that use voice recognition, speech synthesis, and natural language processing to provide a service through a specific application. A Voice assistant, also called an intelligent personal assistant or connected speaker, can conduct tasks or provide services for a person based on instructions or questions. It is a new type of product marketed by Apple, Amazon, and Google and is based on natural language speech recognition. 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 voice assistant application market is segmented - 1) By Component: Solutions, Services 2) By Deployment mode: On-Premises, Cloud 3) By Applications: Web Applications, Mobile Applications 4) By End-use: Banking, Financial Services, And Insurance, Healthcare, Retail And E-Commerce, Media And Entertainment, Telecom And IT, Manufacturing And Automotive, Education, Travel And Hospitality, Other End Users

Voice over Internet Protocol (VoIP) is a communications technology that enables people to communicate via audio over the internet rather than via a traditional telephone line. VoIP enables making a call directly from a computer or a special VoIP phone. The main types of VoIP are integrated access or session initiation protocol (SIP) trunking, managed IP PBX and hosted IP PBX. The session initiation system (SIP) is used to enable the VoIP by managing the actual elements to support voice calls, instant messaging, media distribution and video conferencing. The different call types include international VoIP calls, domestic VoIP calls and have several access types such as phone to phone, computer to computer, computer to phone and can access. The different mediums include fixed, mobile and is used by various verticals such as consumers, small and medium businesses, large enterprises. The voice over internet protocol (VoIP) market research report is one of a series of new reports from The Business Research Company that provides voice over internet protocol (VoIP) market statistics, including voice over internet protocol (VoIP) industry global market size, regional shares, competitors with a voice over internet protocol (VoIP) market share, detailed voice over internet protocol (VoIP) market segments, market trends and opportunities, and any further data you may need to thrive in the voice over internet protocol (VoIP) industry. This voice over internet protocol (VoIP) 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 voice over internet protocol (VoIP) market size grew from $106.62 billion in 2022 to $120.38 billion in 2023 at a compound annual growth rate (CAGR) of 12.9%. 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 voice over internet protocol (VoIP) market size is expected to grow to $207.77 billion in 2027 at a CAGR of 14.6%. The growing adoption of 5G technology is expected to drive the growth of the voice over internet protocol (VoIP) market in the coming years. 5G provides faster transmissions, lower latency, and the ability to connect a larger number of devices by providing gigabyte rates, which will provide enough bandwidth for VoIP. As a result, a growing number of businesses are switching to VoIP to replace their outdated PSTN phone systems. Switching to VoIP improves call quality and dependability while lowering call and infrastructure costs significantly. For instance, according to vXChnge, a US-based colocation and data center service provider, by 2024 5G networks are projected to cover 40% of the world, handling 25% of all mobile traffic data. Therefore, the growing adoption of 5G technology propels the growth of the VoIP market. The smarter VOIP assistants is shaping the VoIP market. Smarter VoIP Assistants such as Apple's Siri, Amazon's Alexa, and Google's Ok Google can help customers automate a variety of tasks including routing calls to agents and forwarding calls to voicemail. Furthermore, with these tools at their disposal, consumers will no longer need to send simple questions to agents because the virtual assistant will be able to respond. According to DialogTech, a US-based software company, in 2020, 28% of people are using smarter VOIP assistants for business calls. In August 2021, TelcoSwitch, a UK-based telecommunications service provider acquired SureVoIP for an undisclosed amount. Through this acquisition TelcoSwitch's portfolio will be bolstered by the addition of more IP, notably strengthening the company's solutions for the SOHO/micro-market and paving the way for new residential-based services. SureVoIP is a UK-based telephony service provider that supplies business VoIP services to the businesses based in the UK. Major players in the voice over internet protocol (VoIP) market are Verizon Communications, Comcast, Orange S.A., AT&T, Charter Communications, Vonage, Altice USA Inc., Telmex, Time Warner Cable, Numericable, Cox Communications, Rogers Communications, Sprint Corporation, TalkTalk Group, RingCentral, Patton Electronics, San Antonio Telephone Co., and OneVoice Communications Inc. Asia-Pacific was the largest region in the VoIP market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the voice over internet protocol (VoIP) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the voice over internet protocol (VoIP) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, and the USA. The voice over Internet Protocol (VoIP) market includes revenues earned by entities by real-time transport protocol (RTP), designed to carry streaming audio and video. 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 voice over internet protocol voip market is segmented - 1) By Type: Integrated Access Or Session Initiation Protocol (SIP) Trunking, Managed IP PBX, Hosted IP PBX 2) By Access Type: Phone To Phone, Computer To Computer, Computer To Phone 3) By Call Type: International VoIP Calls, Domestic VoIP Calls 4) By Medium: Fixed, Mobile 5) By End User: Consumers, Small And Medium Businesses, Large Enterprises

Voice prosthesis devices and equipment provide the capability to speak for patients who have undergone laryngectomy (removal of the larynx). These devices are placed in the tracheoesophageal puncture, an opening created between the trachea (windpipe) and the esophagus (food pipe) by surgeons. The main device types of voice prosthesis devices and equipment are indwelling voice prosthesis devices and non-indwelling voice prosthesis devices. Non-indwelling devices can be removed by the patient and changed, creating a higher level of independence for the patient. The product types used are soft valve assemblies, hard valve assemblies, and others. The valve types are Blom-Singer valve, Provox valve, and Groningen valve, which are made up of silicone rubber, silicone, fluoroplastic, silver oxide, and others. The various end-users are hospitals, ambulatory surgical centres, and clinics. The voice prosthesis devices and equipment market research report is one of a series of new reports from The Business Research Company that provides voice prosthesis devices and equipment market statistics, including voice prosthesis devices and equipment industry global market size, regional shares, competitors with a voice prosthesis devices and equipment market share, detailed voice prosthesis devices and equipment market segments, market trends and opportunities, and any further data you may need to thrive in the voice prosthesis devices and equipment industry. This voice prosthesis devices and equipment 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 voice prosthesis devices and equipment market size will grow from $1.57 billion in 2022 to $1.77 billion in 2023 at a compound annual growth rate (CAGR) of 12.7%. 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 voice prosthesis devices and equipment market size is expected to grow to $2.69 billion in 2027 at a CAGR of 11.0%. The voice prosthesis device and equipment market is driven by an increasing number of cases of larynx cancer. Larynx cancer is a disease in which cancer cells form tissue in the larynx and cause a sore throat and ear pain. According to the WHO, there were 99840 deaths reported in 2020 due to Larynx cancer. High equipment cost of voice prosthesis devices and equipment hampers the voice prosthesis devices and equipment market growth. High equipment costs refer to the replacement of prosthesis devices and equipment after a certain period. For instance, the JAMA Otolaryngol Head Neck Surgery center found that the average life of the prosthesis devices and equipment is 3-6 months after which the device has to be changed. Technological advancements of voice prosthesis devices and equipment have increased various properties of devices including, a lifetime of the device, simple and easy maintenance by patients, and comfortable outpatient replacements. For instance, the Indwelling prostheses are designed to meet the criteria of low air resistance and optimal retention in the tracheoesophageal wall, these prostheses devices and equipment have become the valve of choice with the success rate of 40-90% having very good voice quality. Medical devices including ENT surgical devices enter the market through FDA 510(K) premarket clearance pathway, As announced by the FDA, this regulation is set to undergo changes in which more efficient medical devices clearance process to introduce a new generation of safety, technology, and capabilities in medical devices. The EU’s Medical Device Regulation (MDR) came into force in 2020. The future of ENT devices is likely to be impacted by both modernizations of the FDA 510(k) pathway and the forthcoming enforcement of new EU MDR regulations. In September 2021, Atos Medical, a US-based company, a specialist in laryngectomy care-acquired TRACOE medical for an undisclosed amount. This acquisition is combining companies will strengthen the ability to fast track the journey towards becoming a full range global player in the tracheostomy segment, through a combined hospital and direct-to-consumer model. TRACOE medical is a Germany-based manufacturer of medical technology. Major players in the voice prosthesis devices and equipment market are Atos Medical, Andreas Fahl Medizintechnik–Vertrieb, Servona, Acclarent Inc., (A Subsidiary of Johnson & Johnson), Karl Storz Gmbh & Co. Kg, Smith & Nephew PLC., InHealth Technologies, HEIMOMED Heinze, Sonova Holding AG, and William Demant Holding A/S. North America was the largest region in the global voice prosthesis devices and equipment market in 2022. Asia-Pacific was the second-largest region in the voice prosthesis devices and equipment market. The regions covered in the global voice prosthesis devices and equipment market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the voice prosthesis devices and equipment market are Brazil, China, France, Germany, India, Indonesia, Japan, South Korea, Russia, the UK, the USA, and Australia. The vice prosthesis devices and equipment market consist of sales of indwelling voice prosthesis devices and non-indwelling voice prosthesis devices. 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 voice prosthesis devices and equipment market is segmented - 1) By Device Type: Indwelling Voice Prosthesis Devices, Non-Indwelling Voice Prosthesis Devices 2) By Product Type: Soft Valve Assembly, Hard Valve Assembly, Other Product Types 3) By Valve Type: Blom-Singer valve, Provox valve, Groningen valve 4) By Material: Silicone Rubber, Silicone, Fluoroplastic, Silver Oxide, Other Materials 5) By End User: Hospitals, Ambulatory Surgical Centers, Clinics

Conversational AI is a type of artificial intelligence that allows users to engage with computer applications such as advanced chatbots or AI chatbots similar to the way they would interact with other humans. The conversational artificial intelligence (AI) is used to respond to queries, resolve issues, collect information, conduct transactions, and deliver services more quickly and efficiently. The main types of conversational AI include IVA and chatbots. IVAs are intelligent virtual assistants that are used to find the necessary information or accomplish tasks depending on particular user information, prior discussions, and their location. The different conversational AI components include platforms and services. The deployment types include cloud and on-premise. The conversational AI technologies include machine learning, deep learning, NLP and automated speech recognition, used by end-users such as BFSI, retail and e-commerce, healthcare and life science, travel and hospitality, telecom, media and entertainment and other end-users. The conversational AI market research report is one of a series of new reports from The Business Research Company that provides conversational AI market statistics, including conversational AI industry global market size, regional shares, competitors with a conversational AI market share, detailed conversational AI market segments, market trends and opportunities, and any further data you may need to thrive in the conversational AI industry. This conversational AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry. The global conversational ai market size grew from $7.86 billion in 2022 to $9.73 billion in 2023 at a compound annual growth rate (CAGR) of 23.8%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The conversational ai market size is expected to grow to $22.07 billion in 2027 at a CAGR of 22.7%. Increasing focus on customer engagement is expected to drive the conversational AI market. Customer engagement is the process of communicating with customers through various channels to strengthen relationships. Most businesses are focusing on increasing the customer experience to increase customer loyalty and revenue generation. According to the 2022 State of Customer Engagement Report published by Twilio, a US-based customer engagement platform for customized experiences, companies that invested in digital client engagement had revenue growth of 70% over the past two years. Conversational AI involves the use of messaging apps, speech-based assistants, and chatbots to automate conversation and provide personalized consumer engagement. Therefore, increasing focus on customer engagement will drive the conversational AI market. Technological advancements in conversational AI are a key trend in the market. Companies operating in the conversational AI market have come up with various technological advancements such as no-code development technology, easier deployment, advanced machine learning and natural language processing technology to increase usage and adoption of conversational AI in industries with no technical background. For instance, in November 2021, ZeroShotBot, a chatbot builder based in the United States, released a new innovative conversational AI technology that democratizes chatbots for both large and small organizations. ZeroShotBot is an approach to constructing chatbots that can be scalable in hours and do not require training data, allowing anyone with no coding knowledge or training to create a fully functional chatbot. In March 2022, Microsoft Corporation, a US-based software company, acquired Nuance Communications Inc for a $19.7 billion deal. With this acquisition, Microsoft aims to boost its AI and cloud capabilities. This deal brings Nuance’s conversational AI and ambient intelligence with Microsoft’s secure and trusted industry cloud offerings. Nuance Communications Inc is a US-based software company that provides conversational AI and ambient intelligence across the healthcare, financial services, retail and telecommunications industries. Major players in the conversational ai market are Google Inc., IBM Corporation, Amazon Web Services Inc., Artificial Solutions Holding ASH AB, Baidu Inc., Microsoft Corporation, Oracle Corporation, SAP ERP, Kore.ai Inc., Jio Haptik Technologies Limited, Conversica Inc., Rasa Technologies Inc., Solvvy, Saarthi.ai, Exceed.ai, Mindsay, and FIS. North America was the largest region in the conversational AI market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in conversational AI market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. The countries covered in the conversational AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA. The conversational artificial intelligence (AI) market consists of revenues earned by entities by providing machine learning and natural language processing. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods. The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products. The global conversational ai market is segmented - 1) By Type: IVA, Chatbots 2) By Component: Platform, Services 3) By Deployment: Cloud, On-Premises 4) By Technology: Machine Learning, Deep Learning, NLP, Automated Speech Recognition 5) By End User: BFSI, Retail and E-commerce, Healthcare and Life Science, Travel and Hospitality, Telecom, Media and Entertainment, Other End-Users

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