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cybersecurityict · 1 month ago

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Natural Language Processing Market Size, Share, Analysis, Forecast, and Growth Trends to 2032 – U.S. Startups Disrupt Traditional NLP Models

The Natural Language Processing Market was valued at USD 22.4 Billion in 2023 and is expected to reach USD 187.9 Billion by 2032, growing at a CAGR of 26.68% from 2024-2032.

The Natural Language Processing (NLP) market is rapidly transforming how businesses and consumers interact with technology. Driven by advances in artificial intelligence and machine learning, NLP solutions are becoming critical in enhancing customer experience, automating processes, and deriving insights from unstructured data. The demand is growing significantly in the USA and Europe, where digital transformation initiatives and adoption of smart technologies are accelerating.

Natural Language Processing Market is witnessing unprecedented growth across various sectors, including healthcare, finance, retail, and telecommunications. Organizations in the USA and Europe are increasingly leveraging NLP to improve decision-making, automate customer support, and enable real-time language translation. This trend is expected to fuel further innovation and competitive advantage in these regions.

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Market Keyplayers:

Google LLC – Google Cloud Natural Language API

Microsoft Corporation – Azure Cognitive Services – Text Analytics

Amazon Web Services (AWS) – Amazon Comprehend

IBM Corporation – IBM Watson Natural Language Understanding

Meta (Facebook, Inc.) – RoBERTa (Robustly Optimized BERT Approach)

OpenAI – ChatGPT

Apple Inc. – Siri

Baidu, Inc. – ERNIE (Enhanced Representation through kNowledge Integration)

SAP SE – SAP AI Core NLP Services

Oracle Corporation – Oracle Digital Assistant

Hugging Face – Transformers Library

Alibaba Cloud – Alibaba Cloud NLP

Tencent Cloud – Tencent Cloud NLP Service

Cognizant Technology Solutions – Cognizant Intelligent Process Automation (IPA) NLP

NVIDIA Corporation – NVIDIA Riva Speech AI

Market Analysis

Strong adoption in healthcare for clinical documentation and patient interaction

Increasing integration with AI-powered chatbots and virtual assistants

Growing emphasis on sentiment analysis in finance and retail sectors

Expansion in multilingual NLP applications for diverse European markets

Rising investment in cloud-based NLP platforms for scalability and flexibility

Market Trends

Surge in NLP adoption for compliance and fraud detection

Enhanced focus on voice-enabled AI applications

Integration with big data analytics for customer insights

Collaboration between tech startups and large enterprises

NLP is revolutionizing customer service by enabling natural, human-like interactions

It streamlines business operations through automated data processing

The market scope includes diverse applications: sentiment analysis, language translation, speech recognition, and text mining

Both public and private sectors in USA and Europe are investing heavily in NLP for competitive edge

Continuous advancements in deep learning and neural networks expand NLP's potential reach

Forecast Outlook

The NLP market is set for an exciting future with sustained growth driven by technological innovation and increasing use cases across industries. Companies in the USA and Europe will continue to prioritize NLP integration to meet evolving customer expectations and regulatory demands. The evolving landscape promises not only smarter interactions but also deeper business insights and enhanced operational efficiency.

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Conclusion

With dynamic growth and extensive applications, the Natural Language Processing market presents vast opportunities in the USA and Europe. As organizations strive to harness the power of language data, NLP will be a cornerstone of digital transformation strategies. Staying ahead in this market means embracing AI-driven language technologies to unlock new value, improve engagement, and lead in a competitive global economy.

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#Natural Language Processing Market #Natural Language Processing Market Share #Natural Language Processing Market Trends

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isuperbinternetcollectorus · 4 years ago

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Speech-to-text API Market Size, Share and Global Market Forecast to 2026 : MarketsandMarkets

According to a market research report "Speech-to-text API Market by Component (Software and Services), Application (Fraud Detection & Prevention, Content Transcription, Subtitle Generation), Deployment Mode, Organization Size, Vertical, and Region - Global Forecast to 2026", published by MarketsandMarkets™, the Speech-to-text API Market is projected to grow from USD 2.2 billion in 2021 to USD 5.4 billion by 2026; it is expected to grow at a CAGR of 19.2% during 2021–2026.

Browse and in-depth TOC on “Speech-to-text API Market”

306 - Tables

61 - Figures

295 - Pages

During the pandemic, many companies experienced a significant increase in pressure from customers, while their number of available employees decreased. Many contact centers were unable to cope with demand or closed because of lockdown restrictions, leading to long delays in customer service queries, which significantly affected the customer experience. As businesses develop a more strategic approach that delivers resilience into operations through the flexibility and scalability while at the same time working to improve operational efficiencies, so speech-to-text API is rising to the forefront of technology enablers.

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Data analytics application builders are seeking medical speech recognition capabilities that help them efficiently and accurately transcribe video and audio containing COVID-19 terminology into text for downstream analytics. For instance, AWS offers Amazon Transcribe Medical, which is a fully managed speech recognition (ASR) service that makes it easy to add medical speech-to-text capabilities to any application. Powered by deep learning, the service offers a ready-to-use medical speech recognition model that users can integrate into a variety of voice applications in the healthcare and life sciences domain. Users can use the custom vocabulary feature to accurately transcribe more specific medical terminologies, such as medicine names, product brands, medical procedures, illnesses, or COVID-19-related terminology.

The services segment to hold higher CAGR during the forecast period

Based on components, the market size of the software segment is expected to hold a larger market share in 2021, while the services segment is projected to grow at a higher CAGR during the forecast period. This can be attributed to the need for determining the time and cost required to install the API/software tools that require fully managed speech-to-text API services. The high growth is attributed to the higher adoption of speech-to-text API solutions across key verticals, such as BFSI, media and entertainment, and retail and eCommerce.

The cloud segment to hold the larger market size during the forecast period

Based on deployment mode the Speech-to-text API Market is bifurcated into on-premises and cloud. The market size and CAGR of the cloud segment are estimated to be higher than the on-premises segment during the forecast period. The cloud technology benefits of easy deployment and minimal capital requirement facilitate the adoption of the cloud deployment model. The adoption of cloud-based speech-to-text API solutions is expected to be supported by the COVID-19 pandemic, as lockdowns and social distancing practices are encouraging companies to move to cloud solutions that can be managed remotely. The increasing demand for scalable, easy-to-use, and cost-effective speech-to-text API solutions is expected to accelerate the growth of the cloud segment in the Speech-to-text API Market.

Speak To Analyst@ https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=203810785 The large enterprises segment to hold a larger market size during the forecast period

The large enterprises segment is estimated to hold a larger market share in 2021. The growth of the segment is due to increased competition in large enterprises from budding SMEs. Owing to the availability of cost-effective cloud solutions, speech-to-text API solutions and services are expected to witness a prominent growth rate among SMEs during the forecast period.

Healthcare and life sciences vertical is to have the highest CAGR during the forecast period

The healthcare and life sciences segment is projected to grow at the highest CAGR during the forecast period. Speech-to-text API helps financial institutions effortlessly connect with customers to provide an enhanced customer experience. The need for rapid diagnosis, healthcare data analysis, and better patient care is expected to drive the growth of the healthcare and life sciences vertical in the APAC region.

North America to hold the largest market share during the forecast period

In North America is expected to hold the largest market size in 2021. In North America, speech-to-text API/software tools and services are highly effective in most organizations due to the increasing need to extract meaningful insights from voice data to enhance user experience. APAC is expected to hold the largest CAGR during the forecast period, while Latin America and MEA are slowly picking up speech-to-text API due to its benefits for various industries to get user insights.

Key players offering Speech-to-text API Market. The major vendors covered Google (US), Microsoft (US), AWS (US), IBM (US), Verint (US), Baidu (China), Twilio (US), Speechmatics (UK), VoiceCloud (US), VoiceBase (US), Voci (US), Kasisto (US), Nexmo (US), Contus (India), GoVivace (US), GL Communications (US), Wit.ai (US), VoxSciences (US), Rev (US), Vocapia Research (France), Deepgram (US), Otter.ai (US), AssemblyAI (US), Verbit (US), Behavioral Signals (US), Chorus.ai (US), Gnani.ai (India), Sayint.ai (India), and Amberscript (Netherlands).

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#Speech-to-text API Market #Speech-to-text API #Speech-to-text API Market size #Speech-to-text API Market share #Speech-to-text API Market scope #Speech-to-text API Market growth

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moremarketresearch · 2 years ago

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Natural Language Processing in Education Worth $228 million by 2028 - MarketsandMarkets

Natural Language Processing in Education Worth $228 million by 2028 - MarketsandMarkets CHICAGO, May 5, 2023 - A promising future lies in the application of Natural Language Processing (NLP) in education since it has the ability to alter how students engage with educational content and improve academic standards. It has the potential to change the way we teach and learn, enhancing everyone's access to high-quality education. The global NLP in Education Market size is projected to grow from USD 99 million in 2023 to USD 228 million by 2028, at a Compound Annual Growth Rate (CAGR) of 18.1% during the forecast period. NLP in education is being used in language learning applications to provide better pronunciation feedback, enhance translation quality, and create conversational bots that allow students to practice speaking with a virtual tutor.

Scope of the Report

Report MetricsDetailsMarket size available for years2018-2028Base year considered2022Forecast period2023-2028Forecast unitsValue (USD Million/USD Billion)Segments coveredOffering, Model Type, Application, End User, and RegionRegions coveredNorth America, Europe, Asia Pacific, the Middle East & Africa, and Latin AmericaCompanies coveredIBM (US), Microsoft (US), Google (US), AWS (US), SAS Institute (US), Inbenta (US), Baidu (China), Welocalize (US), Yellow.ai (US), NICE (US), ABBYY (US), Automated Insights (US), Width.ai (US) and many more.

Solutions segment to hold highest market share during the forecast period

Al solutions are widely used as people become more aware of their alleged advantages. NLP in education is a subset of artificial intelligence (AI) that corresponds to the processing and mining of unstructured data. It helps AI machines comprehend the intricacies and circumstances of language used by people to express themselves. It is often applied to data generated in the form of text, voice, and video materials. NLP in education solutions is provided by vendors like IBM, Microsoft, and Google with cutting-edge functions, including sentiment analysis, text classification & summarization, and speech recognition. Several manufacturers provide high-end NLP in education software solutions or Application Program Interfaces (APIs) with tailored capabilities in response to market customer expectations.

Professional Services segment to hold highest market share during the forecast period

Training and consulting, system integration and implementation, and support and maintenance are the three sub-categories of professional services, where these services are supplementary to the purchase of software. A few businesses lack the necessary knowledge to successfully manage infrastructure, and as a result, they contract it out to firms that can offer these services. These services are essential for the deployment of NLP software. They are in charge of supporting, managing, and maintaining the installed software. Modeling, organizing NLP, upgrading, and offering numerous other IT services are examples of professional services. Organizations that provide these services include big data specialists, devoted project management teams, support software, tools, services, and knowledge with a focus on the design and delivery of key choices.

Asia Pacific (APAC) to record highest growth rate in NLP in Education Market in 2023

Asia Pacific is anticipated to have the greatest CAGR during the projection period due to its advanced and dynamic adoption of new technologies. The adoption of NLP solutions & services in the region is anticipated to be fueled by the commercialization of AI and ML technologies and the need for additional developments to effectively utilize the technology. More than 50% of the world's population lives in the region. Therefore any significant technology advancements like those predicted by Al are likely to have a significant impact on the region's future. The majority of the NLP market in education share in this region is held by IBM, Microsoft, Google, and Amazon, together with a number of other important NLP-based solution providers. The region's SMEs and large businesses have been implementing NLP-based solutions as they have grown more mindful of government rules and compliances.

NLP in Education Market Dynamics

Driver: - Rising demand for efficient language learning - Increasing adoption of predictive analytics to provide targeted support to students at risks. - Evolution of AI and deep learning Restraint: - Limited availability of educational data impacts the efficiency of NLP models - Risks associated with data breaches and sensitive information leakage. Opportunities - Growing adoption of NLP to assess student performance. - Soaring demand for personalized learning Challenges: - Developing customized NLP solutions - Regulatory and privacy concerns over data security

Key Vendors

Key and innovative vendors in the NLP in Education Market are IBM (US), Microsoft (US), Google (US), AWS (US), SAS Institute (US), Inbenta (US), Baidu (China), Welocalize (US), Yellow.ai (US), NICE (US), ABBYY (US), Automated Insights (US), Width.ai (US), Revolve.ai (Islamabad), Primer.ai (US), Carnegie Learning (US), Gecko (US), Ivy.ai (US), Attivio (US), Conversica (US), Avaamo (US), Aylien (Ireland), Haptik (India), Gupshup (US), Sensforth.ai (US), Chivox (China), and Cognii (US). These vendors have adopted many organic as well as inorganic growth strategies, such as product launches, partnerships, and collaborations, to expand their offerings and market shares in the NLP in Education Market.

Recent Developments:

- In March 2023, Yellow.ai launched Salem, which is a new AI-powered customer service channel available on WhatsApp. - In February 2023, Microsoft launched Automated ML supports NLP, which allows ML professionals and data scientists to bring text data and build custom models for tasks such as multi-class text classification, multi-label text classification, and named entity recognition (NER). - In January 2023, IBM announced BM Partner Plus. This new program reimagines how IBM engages with its business partners through unprecedented access to IBM resources, incentives, and tailored support to deepen its technical expertise and help speed time to market. - In December 2022, NICE launched ElevateAI, a new AIaaS solution that brings the power of Enlighten AI, its purpose-built CX AI, to the developer community. - In November 2022, Google announced an ambitious new project to develop a single AI language model that supports the world's 1,000 most spoken languages.

Application Integration Market Advantages

- NLP can assist in establishing chances for personalized learning for pupils. NLP can assess the student's language to recommend suitable learning materials, change the level of difficulty of the content, and provide feedback in order to improve learning outcomes. - Real-time translation and grammatical checks provided by NLP can help students learn new languages. Through the use of NLP, students can communicate with virtual teachers to improve their vocabulary, grammar, and pronunciation. - Automating the evaluation of student performance is possible using NLP. It may evaluate essays, assignments, and other written content to offer recommendations on grammar, spelling, and other language-related issues. This saves time for teachers while also assisting them in identifying areas where kids need to grow. - Chatbots that engage with students and respond to their queries can be created using NLP. These chatbots can assist students with their coursework and any questions they may have around the clock.

Report Objectives

- To determine and forecast the global NLP in education by offering, model type, and end user. Application and region from 2023 to 2028, and analyze the various macroeconomic and microeconomic factors that affect the market growth. - To forecast the size of the market segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Latin America, and the Middle East & Africa (MEA) - To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the NLP in Education Market - To analyze each submarket with respect to individual growth trends, prospects, and contributions to the overall NLP in Education Market - To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the NLP in Education Market - To profile the key market players; provide a comparative analysis based on business overviews, regional presence, product offerings, business strategies, and key financials; and illustrate the competitive landscape of the market. - To track and analyze competitive developments, such as mergers and acquisitions, product launches and enhancements, partnerships and collaborations, and Research and Development (R&D) activities, in the market MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. Read the full article

#digital #edtech #education #marketresearch #markettrends #technology #technologynews #technologytrends

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fusiontechnologyankush · 3 years ago

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Speech-to-text API Market 2022 Global Industry Share, Growth, Drivers, Emerging Technologies, and Forecast Research Report 2028

Speech-to-text API Market 2022-2030

A New Market Study, Titled “Speech-to-text API Market Upcoming Trends, Growth Drivers and Challenges” has been featured on fusionmarketresearch.

Description

This global study of the Speech-to-text API Market offers an overview of the existing market trends, drivers, restrictions, and metrics and also offers a viewpoint for important segments. The report also tracks product and services demand growth forecasts for the market. There is also to the study approach a detailed segmental review. A regional study of the global Speech-to-text API industry is also carried out in North America, Latin America, Asia-Pacific, Europe, and the Near East & Africa. The report mentions growth parameters in the regional markets along with major players dominating the regional growth.

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The report offers detailed coverage of Speech-to-text API industry and main market trends with impact of coronavirus. The market research includes historical and forecast market data, demand, application details, price trends, and company shares of the leading Speech-to-text API by geography. The report splits the market size, by volume and value, on the basis of application type and geography.

The major players included in the report are Google (US) Microsoft (US) IBM (US) AWS (US) Nuance Communications (US) Verint (US) Speechmatics (England) Vocapia Research (France) Twilio (US) Baidu (China) Facebook (US) iFLYTEK (China) Govivace (US) Deepgram (US) Nexmo (US) VoiceBase (US) Otter.ai (US) Voci (US) GL Communications (US) Contus (India)

Based on the type of product, the global Speech-to-text API market segmented into On-premises Cloud

Based on the end-use, the global Speech-to-text API market classified into Financial Services and Insurance Telecommunications and Information Technology Health Care Retail and E-commerce Government and Defense Others

Based on geography, the global Speech-to-text API market segmented into North America (United States, Canada and Mexico) Europe (Germany, UK, France, Italy, Russia and Spain etc.) Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.) South America (Brazil, Argentina and Colombia etc.) Middle East & Africa (South Africa, UAE and Saudi Arabia etc.)

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Table of Contents

1 RESEARCH SCOPE 1.1 Research Product Definition 1.2 Research Segmentation 1.2.1 Product Type 1.2.2 Main product Type of Major Players 1.3 Demand Overview 1.4 Research Methodology

2 GLOBAL Speech-to-text API INDUSTRY 2.1 Summary about Speech-to-text API Industry

2.2 Speech-to-text API Market Trends 2.2.1 Speech-to-text API Production & Consumption Trends 2.2.2 Speech-to-text API Demand Structure Trends 2.3 Speech-to-text API Cost & Price

3 MARKET DYNAMICS 3.1 Manufacturing & Purchasing Behavior in 2020 3.2 Market Development under the Impact of COVID-19 3.2.1 Drivers 3.2.2 Restraints 3.2.3 Opportunity 3.2.4 Risk

4 GLOBAL MARKET SEGMENTATION 4.1 Region Segmentation (2017 to 2021f) 4.1.1 North America (U.S., Canada and Mexico) 4.1.2 Europe (Germany, UK, France, Italy, Rest of Europe) 4.1.3 Asia-Pacific (China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific) 4.1.4 South America (Brazil,, Argentina, Rest of Latin America) 4.1.5 Middle East and Africa (GCC, North Africa, South Africa, Rest of Middle East and Africa) 4.2 Product Type Segmentation (2017 to 2021f) 4.2.1 On-premises 4.2.2 Cloud 4.3 Consumption Segmentation (2017 to 2021f) 4.3.1 Financial Services and Insurance 4.3.2 Telecommunications and Information Technology 4.3.3 Health Care 4.3.4 Retail and E-commerce 4.3.5 Government and Defense 4.3.6 Others

5 NORTH AMERICA MARKET SEGMENT 5.1 Region Segmentation (2017 to 2021f) 5.1.1 U.S. 5.1.2 Canada 5.1.3 Mexico 5.2 Product Type Segmentation (2017 to 2021f) 5.2.1 On-premises 5.2.2 Cloud 5.3 Consumption Segmentation (2017 to 2021f) 5.3.1 Financial Services and Insurance 5.3.2 Telecommunications and Information Technology 5.3.3 Health Care 5.3.4 Retail and E-commerce 5.3.5 Government and Defense 5.3.6 Others 5.4 Impact of COVID-19 in North America

What our report offers: – Market share assessments for the regional and country-level segments – Strategic recommendations for the new entrants – Covers Market data for the years 2020, 2021, 2022, 2025, and 2028 – Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations) – Strategic recommendations in key business segments based on the market estimations – Competitive landscaping mapping the key common trends – Company profiling with detailed strategies, financials, and recent developments – Supply chain trends mapping the latest technological advancements

Free Customization Offerings: All the customers of this report will be entitled to receive one of the following free customization options: • Company Profiling o Comprehensive profiling of additional market players (up to 3) o SWOT Analysis of key players (up to 3) • Regional Segmentation o Market estimations, Forecasts and CAGR of any prominent country as per the client��s interest (Note: Depends on feasibility check) • Competitive Benchmarking o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

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tumb11 · 3 years ago

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Europe Call Center Software Market Analysis {2022} Size, Share, Industries, Capital, etc. 2030

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virtualcollectiveparadise · 3 years ago

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Speech-to-Text API Market 2027 Emerging Trend, Top Companies, Industry Demand, Business Review and Regional Analysis

Speech-to-Text API Market Overview:

Speech-to-Text API Market delivers historical information as well as present and future system, constraint, and enhancement needs. The study goes into great detail on the key factors influencing the market's growth.

The Speech-to-Text API Market research looked into shipments, pricing, revenue, gross margin, interview records, and business dispersion, among other factors. Customers can utilize this information to learn more about their competitors. The report also includes data on all regions and countries around the world, as well as information on the size, scale, and value of business sectors, as well as price data.

Request for free sample:https://www.maximizemarketresearch.com/request-sample/83189/

Speech-to-Text API Market Scope:

The leading suppliers' effective business practices are included in this statistical analysis of the Speech-to-Text API market. To be competitive in the Speech-to-Text API industry, vendors employ both organic and inorganic expansion techniques.

To make the most of the opportunities and recover from the post-COVID-19 harm, market suppliers should focus more on growth prospects in fast-growing types while maintaining their positions in slow-growing types.

The Speech-to-Text API market forecast research goes into great detail about main vendor profiles. The profiles provide information on the production, long-term viability, and future prospects of the most successful firms.

Get more Report Details:https://www.maximizemarketresearch.com/market-report/global-speech-to-text-api-market/83189/

Key players:

o Google o Microsoft o IBM o Nuance Communications o Verint o Speechmatics o Vocapia Research o Twilio

The research report focuses on the current market size of the Speech-to-Text API market and their growth rates, based on records and financial information with a company profile of major players/manufacturers.

Regional analysis:

This Speech-to-Text API market research analysis provides valuable insights into the market's post-COVID-19 impact, which will help businesses evaluate their business strategy. Market segmentation by end-user as well as geography are also included in this report (North America, Europe, APAC, South America, and MEA).

Key Questions answered in the Speech-to-Text API Market Report are:

Which product segment grabbed the largest share in the Speech-to-Text API market?

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Which region holds the maximum share in the Speech-to-Text API market?

What will be the CAGR of the Speech-to-Text API market during the forecast period?

Which application segment emerged as the leading segment in the Speech-to-Text API market?

Which are the prominent players in the Speech-to-Text API market?

What key trends are likely to emerge in the Speech-to-Text API market in the coming years?

What will be the Speech-to-Text API market size by 2027?

Which company held the largest share in the Speech-to-Text API market?

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leonfrancisblog · 4 years ago

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Europe Conversational Computing Platform Market Industry Analysis Size, Share, Trends and Profitable Segments Breakdown and Detailed Analysis of Current and Future Industry Figures till 2026|Key Players Alphabet Inc. (Google), IBM Corporation, Microsoft, Nuance Communications, Inc., Tresm Labs, Apexchat

Conversational computing platform market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Europe presence, production sites and facilities, company strengths and weaknesses, product launch, product trials pipelines, product approvals, patents, product width and breath, application dominance, technology lifeline curve. The below data points provided are only related to the company’s focus related to Europe conversational computing platform market. This conversational computing platform market report provides details of market share, new developments, and product pipeline analysis, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, product approvals, strategic decisions, product launches, geographic expansions, and technological innovations in the market. To understand the analysis and the market scenario contact us for an Analyst Brief, our team will help you create a revenue impact solution to achieve your desired goal.

Chabot’s are user interface of conversational platforms and its related assistants, where conversational platforms enable chatbots to operate and decode the natural language. SMS, social media and other interactive platforms are integrated in these conversational platforms. APIs (application programming interfaces) are provided by conversational platform so as to integrate other interactive platforms. The growing utilization of Chabot in the E-commerce sector is prominent factor drive the growth of the market. For instance the Germany based healthy food supermarket chain had introduced a chat bot that utilize for finding super market easy. Thus the utilization of Chabot will contribute in improving customer services. This factor will in turn increase the customer base for the company.

Europe conversational computing platform market By Type (Solution, Service), Technology (Natural Language Processing, Natura Language Understanding, Machine Learning and Deep Learning, Automated Speech Recognition), Deployment Type (Cloud, On-Premise), Application (Customer Support, Personal Assistance, Branding and Advertisement, Customer Engagement and Retention, Booking Travel Arrangements, Onboarding and Employee Engagement, Data Privacy and Compliance, Others), Vertical (Banking, Financial Services, and Insurance, Retail and Ecommerce, Healthcare and Life Sciences, Telecom, Media and Entertainment, Travel and Hospitality, Others), Country (Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe), Market Trends and Forecast to 2027. Conversational computing platform market is expected to gain market growth in the forecast period of 2020 to 2027. Data Bridge Market Research analyses that the market is growing with a CAGR of 31.7% in the forecast period of 2020 to 2027. Growing expansion of application base of AI solution in the various vertical is expected to drive growth of the market Conversational computing platform can be defines as platform where computer interact with human either with text or voice. The platform use artificial intelligence tool for processing language. For instance Chabot is conversational computing platform that widely used in all the sector for helping customer.

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Conversational Computing Platform Market Country Level Analysis:

Europe conversational computing platform market is analyzed and market size information is provided by country by type, technology, deployment type, application, and vertical as referenced above. The countries covered in Europe conversational computing platform market report are Germany, France, U.K., Italy, Spain, Poland, Ireland, Denmark, Austria, Sweden, Finland, rest of Europe

Growing Concern of Business towards Minimizing Operational Cost of the Business:

Conversational computing platform market also provides you with detailed market analysis for every country growth in cloud based industry with conversational computing platform sales, services, impact of technological development in software and changes in regulatory scenarios with their support for the conversational computing platform market. The data is available for historic period 2010 to 2018.

Europe Conversational Computing Platform Market Scope and Market Size:

Europe conversational computing platform market is segmented on the basis of type, technology, deployment type, application, and vertical. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets. On the basis of type, the market is segmented into solution and services. The solution segment accounted largest market share is due to growing concern of business towards improving customer experience has increase the adoption of various solution in the business such as virtual assistant, Chabot and many more. On the basis of technology, the market is segmented into natural language processing, natural language understanding, machine learning and deep learning, automated speech recognition. Natural language processing segment is dominating the market while machine learning and deep learning are expected to grow with highest CAGR for forecasted of 2027. The growing utilization of artificial intelligence in the finance sector for solving complex problem. For instance Ayasdi had created the cloud-based and on- premise machine intelligence solutions for business to solve the complex problem. The deployment of this solution allows the finance sector to control all the fraud case associated with money.

The major players covered in the report are Alphabet Inc. (Google), IBM Corporation, Microsoft, Nuance Communications, Inc., Tresm Labs, Apexchat, Artificial Solutions, Conversica, Inc., Haptik, Inc., Rulai, Cognizant, PolyAI Ltd., Avaamo, SAP SE, Cognigy GmbH, Botpress, Inc., 42Chat, Accenture, Amazon.com, Inc., Oracle, Omilia Natural Language Solutions Ltd, among other players domestic and Europe. Conversational computing platform market share data is available for Europe, North America, Europe, Asia-Pacific, Middle East and Africa and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

Customization Available: Europe Conversational Computing Platform Market:

Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Factbook) or can assist you in creating presentations from the data sets available in the report.

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Reasons for buying this Europe Conversational Computing Platform Market Report

Laser Capture Europe Conversational Computing Platform Market, report aids in understanding the crucial product segments and their perspective.

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Asia-Pacific Conversational Computing Platform Market

Middle East and Africa Conversational Computing Platform Market

North America Conversational Computing Platform Market

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#Market by Type Market Development Market Forecast Market Size Future Innovation Market Future Trends Market Share Market Demand Market Growt

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gojennybaker · 4 years ago

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Jan 19, 2021 (The Expresswire) -- The global speech-to-text API market size is projected to reach USD 8,698.56 million by 2028. Additionally, Adroit Market...

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manhattanmarketingmaven · 6 years ago

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Building Better Chatbots

Chatbots are software configured, programmed and embedded in messenger apps, websites and SMS to replicate or simulate human conversation. A chatbot maintains a conversation with a user in natural language, understands the intent of the user, and responds based on business rules, stored responses or data from the business. Powered by advances in artificial intelligence (AI), Natural Language Processing (NLP) and machine learning (ML), these robots connect to the Internet and mobile structures using APIs which give them immediacy and regular updates.

Principally deployed on SMS and messenger platforms, like Facebook Messenger, WeChat, What’s App, Telegram or Slack platforms that have become more popular than SMS or social media, they are on-call 24/7/365 and generally can anticipate and respond to frequently asked questions, routine inquiries, common complaints and basic transactions like sales, returns, reservations and subscriptions.

Building a bot strategy requires a series of choices and decisions which impact directly on engagement and customer satisfaction. Aligning a chatbot with the brand personality and promise is important for continuity, to influence the customer experience and/or facilitate or accelerate the customer journey. Anticipating many questions asked many ways with answers that address multiple audiences with various interests and intentions is a colossal task.

Consider seven factors in planning and building your chatbot.

Define a Clear Objective. Start with a clear understanding of what the bot should do mechanically and emotionally. In most cases, the objective will be to engage people quickly and effectively to assist them in getting answers, finding content or connecting to humans. Determine what you want those interacting with your bot to think, feel and do. Then configure the software accordingly.

Contextualize the Role in CX Strategy. Bots play a role in the customer journey and in a tiered brand response plan. If the chatbot is your first line of interaction or defense, it will address the most obvious and frequently asked questions. Try to imagine what level of curiosity, angst, frustration or confusion users might face as they interact with the bot. Urgency and emotion will help determine tone and functionality. Plot the most likely use cases and take a hard-edged look at the content or navigation that led a person to your bot.

According to Isabella Steele, chatbots should introduce themselves and give users a clue about available functionality. Similarly, by giving users instructions for interacting with the chatbot, users will stay on track, ask the right kind of questions and be much happier with the experience.

Focus on Brand Alignment. A chatbot is an extension of your brand. It should reflect brand values and brand personality. A directive or authoritative brand will choose language, voices, tone, and cadence to reinforce an authoritative posture. A breezy or friendly brand will do the same making different choices to reflect its unique gestalt.

Choose Graphics Purposefully. Humans relate to other humans. On one hand, you want to create immediate recognition and interaction. On the other hand, you want to make it clear to users they are not talking or texting with a human being. Finding the right image is a branding and philosophical choice. In many cases, the choice is avoided by the design of a chat window. In other cases, populating the chat window with a human face can spark more humane conversations.

Scope the FAQs.To respond quickly you must decide on the number, type, tone, length, and depth of questions and answers. Since most brands can anticipate or measure the 20 most asked questions, it’s a good place to start, keeping in mind that there are probably 3-4 ways to ask these same 20 questions.

Answers should be short, clear, factual and on-point. Answers can be links to other content which might better explain or flesh out responses. KPIs for chatbots should be one-click resolution and high customer satisfaction. The bot relationship should accelerate the customer journey and add to an appreciation of the brand. Carefully consider your “no answer” answer; the response to unprogrammed or unusual questions. Replies to these anomalies can change the perception of your brand.

Plan the Experience. Is the friction of soliciting information or an email address better or worse than an anonymous session? Bots can capture data and be personalized. But do these added steps enhance the experience, deepen the relationship or increase customer satisfaction? Most bot interactions are fleeting not sustained. In most cases, instant gratification ought to be the guiding light.

Assume users will be talking face-to-face with a representative. That’s your bot in action. Think about the tone, word choice, cadence and presentation style that will mirror and/or resonate with your customer base. Imagine and role-play the conversation with the idea of finding the hiccups or sticking points. Plan on creating short, snappy, snackable responses that inform and educate users. And make it easy to bail out for any and all reasons.

Choose the Right Voice. According to Stanford professor James Landay, speech recognition is three times faster than typing into a cell phone, which intensifies thinking about the voice of your chatbot and brand. My former colleague, Lou Killeffer, points out the need for “sonic branding” insisting that brands create an “audio logo” to differentiate themselves in a voice-driven world. Naming your chatbot is the first step in aligning with your brand positioning and personality.

Male, female, neutral, mechanical or cartoon-y voices trigger stored perceptions and emotions. Take a cue from Siri and Alexa who play on cultural, and probably sexist, stereotypes of women as helpful customer service representatives. Research suggests that male voices communicate authority while female voices offer warmth and empathy. Choose carefully in line with the attitudes and expectations of your client base.

Chatbots require as much brand and engagement planning as programming legerdemain. Bots can add to or subtract from the customer experience based on the choices marketers make.

#chatbots #customer service #customer engagement #customer experience

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componentplanet · 5 years ago

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President Trump Signs Ban on TikTok, WeChat as Government Declares Hostility Towards Chinese Digital Goods and Services

President Trump has signed an executive order declaring that both TikTok and WeChat will be banned in the United States within 45 days. At the same time, Secretary of State Mike Pompeo has released a comprehensive roadmap for denying Chinese companies access to United States infrastructure. The text of both executive orders reads, in part:

Specifically, the spread in the United States of mobile applications developed and owned by companies in the People’s Republic of China (China) continues to threaten the national security, foreign policy, and economy of the United States.

In order to safeguard US citizens and interests, both TikTok and WeChat must be banned. Meanwhile, Secretary of State Pompeo has released a five-point Clean Network program that is intended to make certain that Chinese carriers are not connected to US telecom networks, that “untrusted applications” are removed from mobile app stores, that US companies are not making their applications available on the storefronts of untrusted partners, that US data is not being stored on servers owned by Alibaba, Baidu, or Tencent, and that undersea cables are not being subverted by foreign operatives for spying.

The text of these orders raise significant questions about the ability of the President to make unilateral policy via executive order and the degree to which US government policies should exert market control over corporate behavior.

A Complex Kettle of Fish

Over the past year, I’ve written multiple stories about how US companies have been willing to give in to Chinese demands to control the speech of private citizens in the US, even going so far as to get a low-level hotel social media employee fired for the crime of liking a tweet that shared an article featuring her employer. There have been a number of troubling instances where US companies like Google actively partnered with the Chinese government to spy on its own citizens more effectively. China has also imprisoned the Uighur ethnic minority in camps and treated them as a slave labor force. Any concrete action that addresses these concerns is going to have a governmental as well as a corporate component and I generally agree with the Trump Administration’s decision to have a conversation on this topic in a way that has been lacking in both Democrat and Republican administrations dating back at least to the late 1990s, though the effort won’t help US companies whose IP has already been stolen. At the same time, however, the paper trail on TikTok and WeChat does not match what we know about companies like Huawei.

Where Huawei is concerned, the government has articulated fears that the firm could build backdoors into its products and that its position as a 5G hardware provider could allow it to build backdoors into its products that are impossible to close. It is unclear what fundamental threat TikTok or WeChat pose to either American infrastructure or American citizens, and the broad language of Secretary of State Pompeo’s declaration gives some cause for concern. The “Cloud” section of the article above declares that the US will act “To prevent U.S. citizens’ most sensitive personal information and our businesses’ most valuable intellectual property, including COVID-19 vaccine research, from being stored and processed on cloud-based systems accessible to our foreign adversaries through companies such as Alibaba, Baidu, and Tencent.”

What constitutes “most sensitive personal information?” The document does not say. This is not a trivial question. If “most sensitive personal information” is defined as “Private medical records and financial histories,” people would be unlikely to argue. If “most sensitive personal information” includes credit card numbers, you’ve just made a case for outlawing League of Legends based on the fact that Riot Games processes credit card data. Tencent, after all, owns Riot. It owns a hefty share in Epic Games, too.

“My Heart and Swole, Always for Demacia!” Image by Riot, which is owned by Tencent.

I cannot recall another time when the US government declared that a foreign company had 45 days to sell itself to a US firm (Microsoft, in TikTok’s case) or face a complete operating ban. I also do not recall any previous time when the President of the United States declared that the US government expected a bribe — pardon me, “key money” — in return for facilitating the purchase. One imagines the author of this Bloomberg article writing it with a drink in one hand and several empties already on the table. Regardless of one’s political leanings, interjections of this sort do not make evaluating the national security implications of global political changes any easier. Similarly, what exactly is contemplated by the criticism of US companies selling applications in app markets overseas? Previous technology export restrictions, lifted decades ago, did not contemplate banning a TikTok-like application (if such had existed). If anything, the popularity of a US application in the Chinese market would have been more likely to be viewed as a demonstration of soft power.

While the national security implications of closer ties with China have deservedly been criticized, there have been only general data privacy concerns raised about products like TikTok and WeChat. Many, though not all, of those concerns apply to US companies as well and the manner in which they secure (or, rather, don’t secure) the data of US citizens. If the Trump Administration wants to articulate a set of policies by which current and future Chinese software and hardware will be evaluated on national security grounds, that may well be within the scope of its purview, but the standards should be transparent and fairly applied. If a company violates them, Americans who used the applications deserve to know exactly why they are being banned — with specifics, not vague hand-waved gestures towards potential risk.

It is imperative that we not declare the data mining practices of foreign firms illegal solely because they are foreign firms. Daily, it seems, we learn more about how various companies have invented various means of tracking people. Many of these methods are based on incredibly intrusive practices — one federal contractor just acknowledged embedding tracking spyware into dozens of APIs that were incorporated into third-party products with zero oversight, with the intent of using this information for law enforcement purposes. No, this isn’t the same as throwing members of an ethnic minority into forced labor camps. That doesn’t make it good. Many of the same companies caught engaging in unethical actions in China, like Google, built the US ecosystem that’s now systemically used to strip-mine our privacy for profit. Pretending the problem is solely an overseas issue allows US companies to skirt blame for their own egregious actions.

Matt Stoller also makes an excellent argument here, pointing out that the entire reason TikTok is an American fad to begin with is because Facebook actively used its market clout to kill Vine, Twitter’s version of TikTok, while giving TikTok huge amounts of advertising. In other words, we now have a Chinese competitor sitting in an American market because an American company was allowed to abuse its monopolistic power. Facebook launched Reels this week, as a direct competitor to TikTok at a time when the federal government is proposing to ban the company. While I am not accusing the Trump Administration from acting in deliberate concert with Facebook, President Trump’s declaration that the US government should get a cut of the still-theoretical sale of TikTok’s US business to Microsoft, combined with Facebook’s decision to launch a new TikTok competitor now, looks like the federal government “picking winners and losers” (to borrow an old phrase) far more overtly than any decision to award grant money to a bad pick in the aftermath of the Great Recession.

These issues are complex because there are few actions the federal government takes that don’t have implications for someone in a “win/lose” context at some point. NASA’s decision to tap SpaceX for launches literally saved the company by funding its development. Was the government “picking winners and losers,” or was it “Providing funding for the long-term development of US national interests in space by collaborating with a corporate partner?” How you answer that question depends on how important you think space travel is, how good a partner you think SpaceX has been, and who you think should be paying for it. Real-world politics never condenses into sound bites as easily as some wish it did.

For an additional perspective on this issue I recommend The Verge’s writeup, which focuses on an issue the author nicknames information-nationalism. Information-nationalism, as described, is the idea that discussing problems at home or confronting, say, historic inequalities in how America treats people weakens our ability, as a nation, to call out these problems abroad. It views containment of this type of discussion as essential to the capability to project power in other respects because acknowledging fault is seen as equivalent to acknowledging weakness.

Such arguments are dangerous because they can easily become justification for internal censorship. The President’s repeatedly-stated belief that testing more people for COVID-19 is literally the reason that America’s disease figures are terrible is an easy example of how this kind of thinking can lead directly to a justification for suppressing information: If acknowledging the truth of the pandemic makes America look weak, the solution is not to improve the quality of America’s pandemic response, but to stop testing people. As The Verge notes, that’s basically the same argument the Chinese government uses as a justification for suppressing conversation around events like the Tienanmen Square Massacre.

There are good reasons to be suspicious of China, but the question of inappropriate surveillance is not unique to China. US citizens do not deserve to have their lives strip-mined for corporate profits regardless of whether the miners are domestic or foreign and any effort to create new rules on these issues should center data privacy and security for American citizens first and foremost. The idea that these practices are deployed purely in benign ways in this country and that the only real abuses occur elsewhere is a set of cultural blinders we do not have the luxury of wearing.

Now Read:

Capitalism Didn’t Bring Democracy to China, but It’s Yoking the Rest of the World to Chinese Authoritarianism

Blizzard Lowers Penalty on Hong Kong Streamer, Says China Uninvolved in Censorship

Report: China Sells Minorities Into ‘Forced Labor’ to Benefit Apple, Foxconn, Others

from ExtremeTechExtremeTech https://www.extremetech.com/computing/313586-president-trump-declares-he-will-ban-tiktok-wechat-as-government-declares-war-on-chinese-digital-goods-and-services from Blogger http://componentplanet.blogspot.com/2020/08/president-trump-signs-ban-on-tiktok.html

#President Trump Signs Ban on TikTok #WeChat as Government Declares Hostility Towards Chinese Digital

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cybersecurityict · 1 month ago

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AI Voice Generators Market Size, Share, Analysis, Forecast, and Growth Trends to 2032: Technological Advancements Driving Expansion

The AI Voice Generators Market was valued at USD 3.20 billion in 2023 and is expected to reach USD 40.25 billion by 2032, growing at a CAGR of 32.51% from 2024-2032.

The AI Voice Generators Market is undergoing rapid transformation driven by advancements in machine learning, neural networks, and speech synthesis technologies. These systems are increasingly adopted across sectors like entertainment, e-learning, customer service, and healthcare to enhance user engagement and streamline communication. With the rise in demand for personalized and natural-sounding voiceovers, AI voice generators are becoming an essential tool for content creators, enterprises, and developers alike. Their ability to deliver human-like intonation, emotion, and contextual understanding is reshaping the digital voice landscape.

AI Voice Generators Market is also witnessing a surge in innovation through multilingual capabilities and real-time voice synthesis, opening new opportunities for global scalability. These tools are revolutionizing how brands interact with their customers by offering hyper-personalized experiences in dynamic environments. The integration of AI voices in smart devices, virtual assistants, and accessibility technologies further strengthens the market's foothold as voice interfaces become integral to digital ecosystems.

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Market Keyplayers:

Amazon Web Services, Inc. (Amazon Polly, AWS Lex)

Cisco Systems, Inc. (Cisco Webex, Cisco Kinetic)

ElevenLabs (Eleven Voice, Eleven Text-to-Speech)

Google LLC (Google Cloud Text-to-Speech, Google Assistant)

International Business Machines Corporation (IBM Watson Text to Speech, IBM Cloud)

Inworld AI (Inworld AI Voice, Inworld AI Integration)

Microsoft (Azure Speech, Microsoft Cognitive Services)

OpenAI (ChatGPT, OpenAI Codex)

Resemble AI (Resemble Voice, Resemble API)

SoundHound AI Inc. (SoundHound, Houndify)

NVIDIA (NVIDIA Riva, NVIDIA Jarvis)

Meta (Meta AI, Facebook AI)

Voicemod (Voicemod Voice Changer, Voicemod Studio)

Descript (Overdub, Descript Studio)

Simplified (Text-to-Speech, AI Writer)

Soundful (Soundful Music Generator, Soundful Voice AI)

DeepBrain AI (DeepBrain AI Speech Synthesis, DeepBrain AI Voice Cloning)

Baidu, Inc. (Baidu Deep Voice, Baidu Apollo)

Samsung Group (Samsung Bixby, Samsung Speech SDK)

Synthesia (Synthesia Studio, Synthesia AI Video)

Speechelo (Speechelo TTS, Speechelo Pro)

Cerence Inc. (Cerence Voice, Cerence AI Assistant)

WellSaid Labs (WellSaid TTS, WellSaid Studio)

CereProc Ltd. (CereVoice, CerePro)

Listnr AI (Listnr AI Voice, Listnr AI API)

Respeecher (Respeecher Voice Cloning, Respeecher Speech Synthesis)

Speechki (Speechki Voice, Speechki TTS)

Market Analysis

The market is characterized by a growing ecosystem of startups and tech giants investing in cutting-edge voice AI models. The increasing need for efficient audio production, combined with cost and time savings, is pushing businesses to adopt these solutions at scale. North America leads in adoption due to technological readiness, while Asia-Pacific is emerging as a fast-growing hub driven by digital transformation in regional languages.

Market Trends

Surge in demand for text-to-speech (TTS) solutions in content localization and dubbing

Rising use of AI-generated voices in audiobooks, podcasts, and video narration

Integration of voice cloning and synthetic speech in customer support automation

Advancements in emotion-driven voice generation for immersive experiences

Increased emphasis on ethical voice synthesis and identity protection

Expansion of real-time voice translation for cross-border communication

Growing partnerships between AI voice startups and media production companies

Market Scope

The AI Voice Generators Market spans a wide array of applications across sectors such as media & entertainment, telecommunications, e-learning, healthcare, retail, and automotive. These solutions are being integrated into mobile apps, smart devices, virtual assistants, and accessibility tools to improve user interaction and inclusivity. From enabling voice accessibility in education for differently-abled users to enriching gaming experiences with real-time narration, the market is evolving to support diverse and scalable use cases.

Market Forecast

The market is expected to continue on a strong growth trajectory as demand for high-quality, scalable voice synthesis solutions accelerates. Emerging innovations in generative AI models and neural TTS systems are anticipated to reduce latency, improve naturalness, and support more nuanced speech outputs. The future landscape will see more real-time, multilingual, and emotionally intelligent voices embedded into business ecosystems, driving more engaging, inclusive, and automated interactions.

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Conclusion

As digital content and conversational interfaces dominate the future of communication, the AI Voice Generators Market stands at the forefront of this revolution. Its evolution is not just about speaking with machines—it's about making machines speak like us. In a world craving faster, smarter, and more relatable voice-driven experiences, AI voice technology is setting the stage for a more connected and human-centric future.

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#AI Voice Generators Market #AI Voice Generators Market Scope #AI Voice Generators Market Growth #AI Voice Generators Market Trends

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harshaddmr · 5 years ago

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Europe Conversational Computing Platform Market: Pin-Point Analysis For Changing Competitive Dynamics 2027

Know More - https://www.databridgemarketresearch.com/reports/europe-conversational-computing-platform-market

Market Analysis and Insights: Europe Conversational Computing Platform Market

Conversational computing platform market is expected to gain market growth in the forecast period of 2020 to 2027. Data Bridge Market Research analyses that the market is growing with a CAGR of 31.7% in the forecast period of 2020 to 2027. Growing expansion of application base of AI solution in the various vertical is expected to drive growth of the market

Conversational computing platform can be defines as platform where computer interact with human either with text or voice. The platform use artificial intelligence tool for processing language. For instance Chabot is conversational computing platform that widely used in all the sector for helping customer.

The growing utilization of Chabot in the E-commerce sector is prominent factor drive the growth of the market. For instance the Germany based healthy food supermarket chain had introduced a chat bot that utilize for finding super market easy. Thus the utilization of Chabot will contribute in improving customer services. This factor will in turn increase the customer base for the company.

This conversational computing platform market report provides details of market share, new developments, and product pipeline analysis, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, product approvals, strategic decisions, product launches, geographic expansions, and technological innovations in the market. To understand the analysis and the market scenario contact us for an Analyst Brief, our team will help you create a revenue impact solution to achieve your desired goal.

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Europe Conversational Computing Platform Market Scope and Market Size

On the basis of type, the market is segmented into solution and services. The solution segment accounted largest market share is due to growing concern of business towards improving customer experience has increase the adoption of various solution in the business such as virtual assistant, Chabot and many more.

On the basis of technology, the market is segmented into natural language processing, natural language understanding, machine learning and deep learning, automated speech recognition. Natural language processing segment is dominating the market while machine learning and deep learning are expected to grow with highest CAGR for forecasted of 2027. The growing utilization of artificial intelligence in the finance sector for solving complex problem. For instance Ayasdi had created the cloud-based and on- premise machine intelligence solutions for business to solve the complex problem. The deployment of this solution allows the finance sector to control all the fraud case associated with money.

On the basis of deployment type, the market is segmented into cloud and on-premise. Cloud accounted largest market share as it cost effective compare to the On-premise. The major benefit of using cloud is that it is saves company administrative cost. For instance it has witness that by 45% of the enterprise will prefer to store data in cloud

On the basis of application, the market is segmented into personal assistance, branding and advertisement, data privacy and compliance, customer engagement and retention, customer support, onboarding and employee engagement, booking travel arrangements, others). Personal assistance accounted largest market share growing utilization of personal assistant software in the finance sector allows the finance sector to enhance their customer services.

On the basis of vertical, the market is segmented into banking, financial services, and insurance, retail and ecommerce, healthcare and life sciences, telecom, media and entertainment, travel and hospitality, others. Retail & Ecommerce segment account largest market share due to growing adoption of AI tools in the retail sector allow the sector to improve their customer services. This factor will in turn increase customer base for the company.

Conversational Computing Platform Market Country Level Analysis

Europe conversational computing platform market is analysed and market size information is provided by country by type, technology, deployment type, application, and vertical as referenced above.

The countries covered in Europe conversational computing platform market report are Germany, France, U.K., Italy, Spain, Poland, Ireland, Denmark, Austria, Sweden, Finland, rest of Europe

Growing Concern of Business towards Minimizing Operational Cost of the Business

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Competitive Landscape and Conversational Computing Platform Market Share Analysis

Conversational computing platform market competitive landscape provides details by competitor. details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Europe presence, production sites and facilities, company strengths and weaknesses, product launch, product trials pipelines, product approvals, patents, product width and breath, application dominance, technology lifeline curve. The above data points provided are only related to the company’s focus related to Europe conversational computing platform market.

Many joint ventures and developments are also initiated by the companies worldwide which are also accelerating the global conversational computing platform market.

For instance,

In March 2019, PolyAI Ltd. had raised USD 12 million funding for series A. This investment will help the company to develop more sophisticated AI technology for its customers which in turn enhance the product portfolio for the company.

The company market share with increased coverage and presence. It also provides the benefit for organization to improve their offering for conversational computing platforms through expanded model range.

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#Europe Conversational Computing Platform Market Global Europe Conversational Computing Platform Market Europe Conversational Computing Platf

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healthiereveryday-blog2 · 6 years ago

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aws training in pune

Amazon Web Services: Introduction, Explanation, Scope, and Certification

1. Introduction

Amazon Web Services is an IT company by Amazon that provides a cloud computing platform. AWS is currently a market leader offers three types of services, infrastructure as a service (IaaS), platform as a service (Paas), and packaged software as a service (SaaS). Launched in 2006, Amazon Web Services is built to manage the online retail operations. The cloud computing model introduced by the Amazon is to provide users with computing, storage or throughput according to the need.

The services provided by AWS are numerous in number, including services like compute, infrastructure and management, databases, application development, and security.

2. Services Explained

Storage

We are going to discuss two forms of storage services offered by Amazon. First is S3 (Amazon Simple Storage Services) and EC2 (Amazon Elastic Book Store).

Amazon Simple Storage Services provides the storage of scalable objects for analytics, archival and data backup. The data and filed stored as S3 objects range up to 5 GB. This method is believed to be money-saving. On the other hand, Amazon Elastic Book Store offers block-level storage volumes for persistent data storage.

Database, Data Management

Amazon Relational Database services is another service provided by AWS that includes options like MariaDB, MySQL, PostgreSQL, SQL Server, Oracle and a high-performance database known as Amazon Aurora.

Networking

Networking service provided by AWS is called Amazon Virtual Private Cloud. The VPC will give you control of an administrator on a virtual network so that you can use an isolated section of Amazon Web Services cloud. Amazon has also introduced some load balancing tools that can help you balance network traffic, such as, Network Load Balancer and Application Load Balancer.

Management, Monitoring

To avoid improperly configured cloud resource deployments that are needlessly expensive, an IT team can use AWS Config, AWS Config Rules, along with AWS Trusted Advisor. The first two will help the admin manage and track cloud resource configuration.

Mobile Development

Amazon Web Services Mobile Hub provides a variety of tools and services for mobile app developers for various purposes. AWS Mobile SDK helps in providing samples and libraries. Amazon Cognito helps in managing user access to mobile apps. Amazon Pinpoint helps in analyzing the effectiveness of communication after sending push notifications to application end users.

Artificial Intelligence

AWS offers a variety of Artificial Intelligence Models. Amazon Lex is for audio and text chatbot technology, Amazon Rekognition is for facial and image analysis, and Amazon Polly is for text-to-speech translation.

Big Data Management, Analysis

The tools and services provided by AWS include Amazon Elastic MapReduce and Amazon Kinesis. Along with this, Amazon Web Services also provides AWS Glue service and Amazon ElasticSearch Services for Big Data Management and Analysis.

Security, Governance

Amazon Web Services Identity and Access Management, Amazon Cloud Directory, AWS Directory Service, AWS Organizations, Amazon Inspectors are the tools provided by Amazon Web Services for the security and effective governance of the business. They also enable the user to manage multiple AWS accounts.

Migration, Hybrid Cloud

AWS Migration Hub helps the administrator to manage migration and monitor them. The IT team can also make use of EC2 Systems Manager to configure on-premises servers and AWS Instances. Along with this Amazon shares partnership with technology vendors to each the hybrid cloud deployments.

Development Tools and Application Services

Developers can make use of a variety of AWS tools and software development kits to manage applications and services. Such as AWS Command Line Interface (Amazon's code interface), AWS Serverless Application Models for stimulating an environment of AWS for inspecting Lambda functions, Amazon API Gateway for development, creation, managing and monitoring of custom APIs, Amazon Elastic Transcoder for visualizing workflow, etc.

3. Scope

The demand of Amazon Web Services and the need for validating the cloud computing AWS skills has mounted to the top in the last few years. AWS provides a variety of fields where you can build your career. It includes the following:

a. Operational Support Engineer

b. Cloud Software Engineer

c. System Integrator - Cloud

d. Cloud Developer

e. DevOps Engineer

f. AWS Solutions Architect

g. AWS SysOps Administrator

h. Senior AWS Cloud Architects

i. Senior Solutions Architect

4. Certification

Amazon Web Services Certification was launched in the year 2013 and it is globally accepted gold standard certification that provides you a more transformed cloud computing skills and provides a more pronounced career in cloud computing. Authorized training partners offer high-end certification credentials after taking a certification mapped course.

AWS provides certification in the following:

a. AWS Operation Certification

AWS Certified SysOps Administrator- Associate

AWS Certified DevOps Engineer- Professional

b. AWS Architecting Certifications

AWS Certified Solutions Architect- Associate Level

AWS Certified Solutions Architect- Professional Level

c. AWS Developing Certification

AWS Certified Developer- Associate Level IEVISION IT Services is the best training Institute for AWS Training in Pune because AWS Solution Architect Associate Training Course is delivered by AWS consultants and cloud architects with 100% Exam Preparation.

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confessing-fanvergence-blog · 6 years ago

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aws training in pune

Amazon Web Services: Introduction, Explanation, Scope, and Certification

1. Introduction

The services provided by AWS are numerous in number, including services like compute, infrastructure and management, databases, application development, and security.

2. Services Explained

Storage

We are going to discuss two forms of storage services offered by Amazon. First is S3 (Amazon Simple Storage Services) and EC2 (Amazon Elastic Book Store).

Database, Data Management

Networking

Management, Monitoring

Mobile Development

Artificial Intelligence

Big Data Management, Analysis

Security, Governance

Migration, Hybrid Cloud

Development Tools and Application Services

3. Scope

a. Operational Support Engineer

b. Cloud Software Engineer

c. System Integrator - Cloud

d. Cloud Developer

e. DevOps Engineer

f. AWS Solutions Architect

g. AWS SysOps Administrator

h. Senior AWS Cloud Architects

i. Senior Solutions Architect

4. Certification

AWS provides certification in the following:

a. AWS Operation Certification

AWS Certified SysOps Administrator- Associate

AWS Certified DevOps Engineer- Professional

b. AWS Architecting Certifications

AWS Certified Solutions Architect- Associate Level

AWS Certified Solutions Architect- Professional Level

c. AWS Developing Certification

#aws training in pune

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tumb11 · 3 years ago

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Europe Call Center Software Market Analysis {2022} Size, Share, Industries, Capital, etc. 2030

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infinity-on-dru-blog1 · 6 years ago

Text

aws training in pune

Amazon Web Services: Introduction, Explanation, Scope, and Certification

1. Introduction

The services provided by AWS are numerous in number, including services like compute, infrastructure and management, databases, application development, and security.

2. Services Explained

Storage

We are going to discuss two forms of storage services offered by Amazon. First is S3 (Amazon Simple Storage Services) and EC2 (Amazon Elastic Book Store).

Database, Data Management

Networking

Management, Monitoring

Mobile Development

Artificial Intelligence

Big Data Management, Analysis

Security, Governance

Migration, Hybrid Cloud

Development Tools and Application Services

3. Scope

a. Operational Support Engineer

b. Cloud Software Engineer

c. System Integrator - Cloud

d. Cloud Developer

e. DevOps Engineer

f. AWS Solutions Architect

g. AWS SysOps Administrator

h. Senior AWS Cloud Architects

i. Senior Solutions Architect

4. Certification

AWS provides certification in the following:

a. AWS Operation Certification

AWS Certified SysOps Administrator- Associate

AWS Certified DevOps Engineer- Professional

b. AWS Architecting Certifications

AWS Certified Solutions Architect- Associate Level

AWS Certified Solutions Architect- Professional Level

c. AWS Developing Certification

#aws training in pune

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