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Market Size in USD Billion
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USD 2,455.53 Million |
| USD 27,251.35 Million | |
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Asia-Pacific 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 E-commerce, Healthcare and Life Sciences, Telecom, Media and Entertainment, Travel and Hospitality, Others) – Industry Trends and Forecast to 2030.
Conversational computing platform is increasingly implemented for automatic conversational systems. These solutions provide easy and straight conversation between customer and AI system to deal with their problems, concerns and gain customer satisfaction. The media and entertainment industry and digital marketing managers widely use conversational computing solutions for, information broadcasting, advertising, promotions and product discovery. Conversational computing platforms provide automated resolutions, enhanced customer experience and lower cost of operations which will help the market to grow during the forecast period.
Data Bridge Market Research analyses that the conversational computing platform market is expected to reach USD 27,251.35 million by 2030, which is USD 2,455.53 million in 2022, at a CAGR of 35.10% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
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Report Metric
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Details
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Forecast Period
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2023 to 2030
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Base Year
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2022
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Historic Years
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2021 (Customizable to 2015 - 2020)
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Quantitative Units
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Revenue in USD Million, Volumes in Units, Pricing in USD
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Segments Covered
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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 E-commerce, Healthcare and Life Sciences, Telecom, Media and Entertainment, Travel and Hospitality, Others)
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Countries Covered
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China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC).
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Market Players Covered
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IBM (U.S.), Alphabet (US.)., Microsoft (U.S.), Amazon Web Services, Inc. (U.S.), Artificial Solutions (Sweden), Accenture (Ireland), Apexchat (U.S), Botpress (Canada), Cognizant (U.S.), Cognigy (Germany), Conversica, Inc. (U.S.), Jio Haptik Technologies Limited (India), Nuance Communications, Inc. (U.S.), Omilia Natural Language Solutions Ltd (Cyprus), Oracle (U.S.), Nuacem AI (India), PolyAI Ltd., (U.K.), SAP (Germany)
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Market Opportunities
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Market Definition
Conversational computing platforms are those software programs which allow communication between humans and computers over voice or text inputs. The conversational computing platform includes many solutions such as chatbot virtual assistants through voice or text. Conversational computing solutions are used in both personal and business procedures that comprise multi-turn conversations.
Drivers
The major significant factor in the global market that increases the application of chatbots is the expanding e-commerce sector. Apart from offering 24X7 service to the consumers, conversational computing platforms also analyze the purchase preferences of consumers using previous information of the customers. Thus, the rising inclination towards online shopping with the increasing online purchasing power of the consumers, is enhancing the growth of the conversational computing platform market.
Users which are communicating with computer programs by using voice commands are using conversational computing platforms. One of the popular forms of conversational computing is the chatbot. Chatbots are becoming more prevalent in customer service for tasks including shopping, making trip reservations, and providing technical help. Microsoft’s Cortana, Apple’s Siri and Amazon’s Alexa are some of the major examples of automated assistants answering voice commands on mobile devices. Also, the increasing use of Chabot in the e-commerce industry is an important factor drive the market growth. U.S.-based chain of supermarkets for healthy foods recently introduced a chatbot which used for finding super market easily. Therefore, using Chabot will help improve customer services and drive the market growth in the forecast period.
Opportunities
Conversational computing platforms are frequently utilized in multi-turn conversational business processes. For instance, resolving consumer questions about healthcare and conducting insurance quote generation. It combines neural networks, various machine learning techniques, speech synthesis, speech recognition, and natural language understanding. It is anticipated that conversational computing will become more widely used in business processes which will create lucrative potential for the platform's expansion.
The personal use application of conversational computing platform is used for voice and assistants. The use of conversational computing platform are not limited to voice assistant, it has also integrated with messaging platforms such as WhatsApp, Facebook Messenger and many other. Other uses are setting reminders at the proper times based on the user's daily schedule. Therefore, increasing demand of conversational computing platform for personal purposes is expected to create lucrative potential for the market expansion during the forecast period.
Restraints
The large storage of client data or information puts conversational computing platform continuously at risk. The security and privacy of client data is very essential for the providers. Therefore, the increasing concerns regarding the issues associated with data privacy and undesirable actions by conversational computing platforms are projected to be a major challenge for the market growth during the forecast period.
This conversational computing platform market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the conversational computing platform market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Recent Development
The conversational computing platform market is segmented on the basis of type, technology, deployment type, application and vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Type
Technology
Deployment Type
Application
Vertical
The conversational computing platform market is analyzed and market size insights and trends are provided by country, type, technology, deployment type, application and vertical as referenced above.
The countries covered in the conversational computing platform market report are China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC).
Asia-Pacific dominates the market due to China's high labor cost, which has increased the adoption of automation tool in the business. These automation tools allow the business to increase customer experience, save time, and more. For instance, it has been witness that per labor cost in 2017 was USD 5.51 which has increase to USD 5.78 in 2018 in China. As result, the demand for the conversational computing platform increases in china.
The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
The 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, Global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to conversational computing platform market.
Some of the major players operating in the conversational computing platform market are:
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Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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 (Fact book) or can assist you in creating presentations from the data sets available in the report.