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Conversational Computing Platform Companies

Conversational computing platforms, powered by natural language processing and artificial intelligence, are transforming the way humans interact with technology. From chatbots to virtual assistants, these platforms facilitate seamless and natural communication between users and machines. As businesses strive to enhance customer engagement and support, conversational computing platforms play a crucial role in delivering personalized and responsive experiences.

Conversational Computing Platform Companies


Conversational Computing Platform Market: Where Bots Become Business Partners


The Conversational Computing Platform Market is buzzing with activity, as businesses across industries scramble to integrate chatbots, voice assistants, and other conversational interfaces into their customer experience, employee engagement, and operational workflows. Navigating this dynamic landscape requires understanding the key players, their strategies, and the driving forces shaping the competitive terrain.


Key Players:



  • 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). 


Strategies for Success:




  • Multi-channel Deployment: Offering omnichannel solutions that seamlessly integrate across chat, voice, text messaging, and social media platforms broadens customer reach and engagement.


  • AI-powered Intelligence: Leveraging Natural Language Processing (NLP), machine learning, and conversational AI capabilities to deliver natural, engaging, and context-aware interactions is key.


  • Security and Compliance: Building robust security features and adhering to data privacy regulations are crucial for establishing trust and mitigating risk.


  • Openness and Integration: Embracing open APIs and integrations with existing CRM, helpdesk, and enterprise systems ensures seamless workflows and fosters wider adoption.


Factors for Market Share Analysis:




  • Platform Functionality and Scalability: Offering a comprehensive range of features, including chatbot development tools, analytics dashboards, and robust API integrations, caters to diverse customer needs.


  • Industry-specific Solutions: Providing pre-built templates and customization options tailored to specific industries like healthcare, finance, or retail attracts targeted customer segments.


  • Ease of Use and Developer Tools: A user-friendly interface and intuitive developer tools enable rapid deployment and customization, even for non-technical users.


  • Pricing and Deployment Models: Competitive pricing strategies and offering flexible deployment options like cloud-based, on-premise, or hybrid models appeal to a wider range of businesses.


New and Emerging Companies:




  • Vertical-focused Startups: Startups like Olive (healthcare) and Sequel (legal) are tailoring CCPs to specific industries, offering deep domain expertise and pre-built conversational workflows.


  • Personalized Assistant Developers: Companies like HeyZap and Cleo are blurring the lines between chatbots and personal assistants, offering context-aware, proactive assistance for individuals.


  • Voice Technology Specialists: Companies like Voicera and SoundHound are leading the charge in voice-based CCPs, offering advanced speech recognition and voice-driven user interfaces.


Current Company Investment Trends:




  • Artificial Intelligence (AI) and Machine Learning (ML): Investments in advanced NLP, machine learning models, and conversational AI algorithms are crucial for enhancing dialogue understanding, context awareness, and personalization.


  • Integration and Ecosystem Building: Focus on developing pre-built connectors and partnerships with complementary technology providers creates a robust ecosystem and simplifies integration.


  • Security and Privacy Enhancements: Building in advanced data security features, granular permission controls, and user-aware privacy options are becoming top priorities.


  • Analytics and Business Insights: Investments in robust analytics dashboards and reporting tools empower businesses to measure the impact of conversational interfaces and optimize performance.


The Conversation Continues:


The CCP market is poised for continued explosive growth, driven by increasing customer demand for personalized experiences, automation opportunities, and the rise of voice interfaces. Understanding the competitive landscape, key players' strategies, and emerging trends will be critical for businesses and investors to leverage the power of conversational computing and stay ahead of the curve in this dynamic and rapidly evolving market.


Latest Company Updates:




  • Natural Language Processing (NLP): Advancements in NLP enable chatbots to understand and respond to complex user queries in a natural and engaging way. (Jan 15, 2024)


  • Multimodality: CCPs are integrating multiple channels like text, voice, and video, offering users a more intuitive and personalized experience. (Jan 12, 2024)


  • Emotion recognition and sentiment analysis: AI engines within CCPs analyze user emotions and sentiments, allowing for more empathetic and effective communication. (Jan 9, 2024)

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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