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Conversational Computing Platform Market Share

ID: MRFR//8076-HCR | 100 Pages | Author: Aarti Dhapte| April 2024

The Conversational Computing Platform Market is experiencing transformative trends that are shaping the way businesses interact with technology and customers. One predominant trend is the widespread adoption of conversational AI across industries. Businesses are increasingly integrating conversational computing platforms to facilitate natural language interactions between users and machines. This trend reflects a shift towards more intuitive and user-friendly interfaces, enabling organizations to enhance customer experiences, automate tasks, and streamline communication processes.

The rise of virtual assistants and chatbots is another key trend in the Conversational Computing Platform Market. Virtual assistants powered by conversational AI are becoming integral components of customer service, providing instant and personalized responses to user queries. Businesses leverage chatbots for tasks ranging from handling routine customer inquiries to assisting with online transactions. This trend not only improves operational efficiency but also enhances customer satisfaction by providing quick and responsive interactions.

Moreover, the integration of voice-based conversational computing is gaining prominence. With the proliferation of voice-activated devices and virtual assistants like Amazon's Alexa and Google Assistant, businesses are incorporating voice interfaces into their applications and services. This trend is particularly significant in smart home devices, automotive interfaces, and mobile applications, where voice commands offer a hands-free and convenient user experience.

The evolution of multimodal interactions represents a notable trend in the Conversational Computing Platform Market. Modern conversational platforms are incorporating multiple modes of communication, such as text, voice, images, and gestures. This trend enables more comprehensive and context-aware interactions, allowing users to engage with technology in ways that suit their preferences and the specific requirements of the task at hand.

Additionally, the increasing focus on industry-specific conversational solutions is shaping market dynamics. Businesses are recognizing the value of tailored conversational computing platforms designed for specific verticals such as healthcare, finance, and e-commerce. These industry-specific solutions are customized to address unique challenges, compliance requirements, and user expectations within specific domains, leading to more specialized and effective conversational experiences.

The Conversational Computing Platform Market is witnessing advancements in natural language processing (NLP) and understanding. As NLP technologies become more sophisticated, conversational platforms can better comprehend user intent, sentiment, and context. This trend contributes to more accurate and contextually aware interactions, improving the overall effectiveness of conversational AI solutions.

The impact of the COVID-19 pandemic has accelerated certain trends in the Conversational Computing Platform Market. With a surge in remote work and the need for contactless interactions, businesses are increasingly deploying conversational platforms to support virtual collaboration, conduct remote meetings, and provide virtual customer support. This trend reflects a broader shift towards digital transformation and the integration of conversational solutions into remote work ecosystems.

Interoperability and integration capabilities are emerging as essential trends in the Conversational Computing Platform Market. Businesses are seeking platforms that seamlessly integrate with existing systems, applications, and communication channels. This trend ensures a cohesive user experience and enables organizations to leverage conversational computing across various touchpoints in their digital ecosystem.

Furthermore, data privacy and security considerations are becoming integral to the Conversational Computing Platform Market. As conversational platforms handle sensitive user data, organizations and users alike are prioritizing solutions that adhere to robust privacy and security standards. Compliance with data protection regulations and the implementation of encryption and authentication measures are key trends in ensuring the secure deployment of conversational computing solutions.

Covered Aspects:

Report Attribute/Metric Details
Base Year For Estimation   2021
Historical Data 2019
Forecast Period   2022–2030
Growth Rate 42.90%

Conversational Computing Platform Market Synopsis


Global Conversational Computing Platform Market size is expected to register a significant 42.90% CAGR during the forecast period 2022 to 2030.


Conversational computing solutions that include speech synthesis, speech recognition, multi-faceted machine learning, neural networks, and natural language understanding are used in business processes that include multi-turn conversations in handling customer queries, generating insurance quotes, and answering claims inquiries from healthcare. The conversational computing platform is increasingly being adopted for automated conversational techniques. These solutions offer straightforward conversation between the customer and the AI system in place, to deal with their problems, concerns, and reach the ultimate goal of customer satisfaction. Digital Marketing managers are using this AI-based technology to identify their potential targets for marketing campaigns. The media & entertainment industry depends on conversational computing solutions for information dissemination, advertising, promotions, and product discovery, among other applications.


Segmentation


Global Conversational Computing Platform Market has been segmented based on Type, Deployment Type, Technology, Application, Vertical, and Region/Country.


By Type, the global conversational computing platform market has been segmented into solution and service. The solution sub-segment is further divided into the chatbot, text assistant, and voice assistant. The voice assistant segment is further divided into natural language processing, natural language understanding, machine learning, and deep learning. The service segment has further been divided into consulting & training, system integration & deployment, and support & maintenance.


By Deployment Type, the global conversational computing platform market has been divided into cloud and on-premise. The rising adoption of cloud computing technology, mainly due to its limitless storage capacity, easier access, and security provisions, the on-cloud deployment type segment is expected to grow and dominate the global conversational computing platform market.


Based on Technology, the global conversational computing platform market has been divided into natural language processing, natural language understanding, machine learning & deep learning, and automated speech recognition.


Based on Application, the global conversational computing platform market has been divided into customer support, personal assistance, branding & advertisement, customer engagement & retention, booking travel arrangements, onboarding & employee engagement, data privacy & compliance, and others.


Based on Vertical, the global conversational computing platform market has been divided into retail & e-commerce, banking, financial services & insurance (BFSI), telecom, entertainment & media, travel & hospitality, and others. The BFSI vertical is expected to report the fastest growth during the forecast period as the rising implementation of conversational computing platform solutions such as chatbots, have various end-uses in this vertical.


The Global Conversational Computing Platform Market has been analyzed for five regions—North America, Europe, Asia-Pacific, the Middle East & Africa, and South America.


Regional Analysis


North America has the largest market share mainly due to the presence of major global players in the region that include IBM Corporation, Alphabet, Inc., Microsoft Corporation, Amazon.com, Inc., Apexchat, Cognizant, Conversica, Inc., Nuance Communications, Inc., and Oracle. Along with these major players, there are several other start-ups in the region that offer enhanced conversational computing platform solutions to cater to the needs of enterprises across industry verticals. The US leads the market in the North America regional market due to the high adoption of digital transformation; and the use of advanced technologies such as big data and analytics and high adoption of cloud in the country.


For the purpose of this analysis, the European market has been divided into the UK, Germany, France, and the rest of Europe. In terms of market size, Europe is expected to be the second-largest regional market across the globe. The UK is projected to be the leading country-level market, while Germany is expected to register the highest growth over the forecast period. The rising use of AI-based conversational platforms poses an opportunity for graph conversational computing vendors in Europe.


The market in Asia-Pacific is projected to grow at the fastest rate over the forecast period, with the regional market being segmented into China, Japan, India, and the rest of Asia-Pacific. The rapid economic growth in major countries such as China, Japan, India, and the digital transformation of enterprises across verticals are the key factors driving the growth of the conversational computing platform market in the region. The growing demand for conversational computing solutions from the BFSI, and IT & telecom verticals in this region offers lucrative opportunities for conversational computing vendors.


The market in the Middle East & Africa and South America is expected to register steady growth during the forecast period with the rising demand for optimized business conversational needs. The enterprises from telecommunication & IT, BFSI, and retail & e-commerce verticals are expected to adopt conversational computing solutions in this region.


Competitive Analysis


The Global Conversational Computing Platform Market is witnessing a high growth due to the rise in demand from various verticals that include BFSI, IT & telecommunications, e-commerce & retail, entertainment & media, and travel & hospitality. Major players have opted for partnerships as the inorganic strategy and product enhancements as their key organic growth strategy to enhance their positions in the market and cater to the demands of end-users across verticals. For instance, in July 2019 Jio Haptik Technologies Limited acquired Los Angeles-based startup Converg. By this, the company enhanced chatbot and voice products offered to the customers from India and North America.


Key Players


The Key Players in the Global Conversational Computing Platform Market are identified based on their country of origin, presence across different regions, recent key developments, product diversification, and industry expertise. These include 




  • IBM Corporation (US)




  • Alphabet, Inc. (US)




  • Microsoft Corporation (US)




  • Amazon.com, Inc. (US)




  • Artificial Solutions (Spain)




  •  Accenture (Ireland)




  • Apexchat (US)




  • Botpress, Inc. (Canada)




  • Cognizant (US)




  • Cognigy GmbH (Germany)




  • Conversica, Inc. (US)




  • Jio Haptik Technologies Limited (India)




  • Nuance Communications, Inc. (US)




  • Omilia Natural Language Solutions Ltd. (Cyprus)




  • Oracle (US). 




The key strategies adopted by most of the players are partnerships, agreements, and collaborations.


Intended Audience



  • Banking and Financial Service Enterprises

  • Telecom Service Providers

  • Technology Consultants

  • Sales Professionals

  • Customer Service Providers

  • Lead Generation Teams

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