Global Conversational AI Market Size, Share, and Trends Analysis Report – Industry Overview and Forecast to 2031

대화형 AI 시장 분석

대화형 AI 시장은 자연어 처리(NLP) 및 머신 러닝(ML) 기술의 발전으로 인해 상당한 성장을 경험하고 있습니다. 이러한 혁신은 챗봇과 가상 비서가 인간 언어를 보다 정확하고 상황에 맞게 이해하고 대응할 수 있는 능력을 향상시킵니다. 최신 방법 중 하나는 GPT 및 BERT와 같은 트랜스포머 모델을 통합하는 것으로, 더 깊은 맥락적 이해를 가능하게 하여 대화의 질을 향상시킵니다.

이러한 기술은 고객 서비스, 의료 및 전자 상거래를 포함한 다양한 분야에서 널리 채택되고 있습니다. 예를 들어, 기업은 대화형 AI를 사용하여 고객 상호 작용을 자동화하여 운영 비용을 절감하고 고객 만족도를 높입니다. 개인화된 경험에 대한 수요가 이러한 성장을 촉진하고 있으며, 소비자는 브랜드에 맞춤형 응답을 점점 더 기대하고 있습니다. 게다가 음성 지원 장치와 스마트 어시스턴트의 확장은 사용자가 핸즈프리 자연스러운 상호 작용을 선호함에 따라 시장 성장을 더욱 촉진하고 있습니다.

대화형 AI 시장 규모

글로벌 대화형 AI 시장 규모는 2023년에 104억 2천만 달러로 평가되었으며, 2031년까지 583억 7천만 달러에 도달할 것으로 예상되며, 2024년에서 2031년까지의 예측 기간 동안 CAGR은 24.04%입니다. Data Bridge Market Research 팀이 큐레이팅한 시장 보고서에는 시장 가치, 성장률, 시장 세그먼트, 지리적 범위, 시장 참여자, 시장 시나리오와 같은 시장 통찰력 외에도 심층적인 전문가 분석, 수입/수출 분석, 가격 분석, 생산 소비 분석, 페슬 분석이 포함되어 있습니다.

대화형 AI 시장 동향

“음성 비서 도입 증가”

대화형 AI 시장 성장을 주도하는 중요한 추세 중 하나는 다양한 기기에서 음성 지원의 채택이 증가하고 있다는 것입니다. 스마트 스피커 및 스마트폰과 같은 음성 지원 기기는 일상 생활에 없어서는 안 될 존재가 되어 사용자가 기술과 원활하게 상호 작용할 수 있게 되었습니다. 예를 들어, IBM Consulting은 2024년 1월에 컨설턴트의 효율성을 향상시키도록 설계된 포괄적인 AI 서비스 플랫폼인 IBM Consulting Advantage를 출시했습니다. 이 플랫폼은 IBM의 기술과 전략적 파트너를 모두 활용하는 고유한 방법과 도구를 제공합니다. 이 이니셔티브를 일찍 도입한 사람들은 생산성이 최대 50% 증가했다고 보고했으며, 애플리케이션 설계, 개발 및 테스트에서 상당한 개선을 보여 컨설팅 솔루션 분야에서 IBM의 리더십을 강화했습니다.

보고서 범위 및 대화형 AI 시장 세분화   

Conversational AI Market Definition

Conversational AI refers to technologies that enable machines to engage in human-such as dialogue through text or voice interactions. It combines natural language processing (NLP), machine learning, and speech recognition to understand, interpret, and respond to user queries. Applications include conversational AI chatbots, virtual assistants, and customer service solutions that enhance user experience by providing instant support and information. Conversational AI systems learn from interactions, improving over time to deliver more accurate and context-aware responses. As a result, they are increasingly utilized across industries for tasks such as customer engagement, information retrieval, and automating routine processes, driving efficiency and satisfaction.

Conversational AI Market Dynamics

Drivers

• Rising Demand for Automation

The rising demand for automation significantly drives the conversational AI market as businesses strive to enhance efficiency and cut operational costs. Companies such as HDFC Bank in India have implemented AI-driven chatbots to handle routine customer queries, resulting in reduced response times and freeing up human agents for complex issues. This automation allows for 24/7 customer support, enabling organizations to cater to client needs at any time. Furthermore, sectors such as e-commerce leverage conversational AI to manage order inquiries and provide product recommendations, improving customer satisfaction while optimizing workforce resources. For instance, In April 2024, Sberbank, Russia's largest bank, launched GigaChat, its own conversational AI platform aimed at reducing reliance on foreign technology. This strategic move highlights Sberbank's ambition to diversify its offerings beyond conventional banking services. By introducing GigaChat, Sberbank positions itself to compete directly with leading AI models such as OpenAI's ChatGPT, enhancing its technological capabilities and fostering innovation within the Russian financial sector. Such implementations highlight how automation through conversational AI enhances operational efficiency and meets growing customer expectations.

• Increased Focus on Data Security

As businesses increasingly prioritize data privacy, the conversational AI market is witnessing significant growth. Solutions equipped with robust security features ensure that customer interactions remain confidential and compliant with regulations such as GDPR and CCPA. For instance, In October 2023, Invoca launched Signal AI Studio and enhanced its Signal artificial intelligence suite, providing businesses with tools to develop custom AI models that derive insights from phone conversations. This technology supports collaboration between contact centers and digital marketing teams, facilitating revenue growth for companies that rely on phone-based customer acquisition. By leveraging conversation intelligence, Invoca empowers businesses to optimize their communication strategies and improve overall performance.

Opportunities

• Advancements in Natural Language Processing (NLP)

The continuous evolution of Natural Language Processing (NLP) technologies is creating significant opportunities in the conversational AI market. Enhanced algorithms, such as transformer models and deep learning techniques, improve language understanding, enabling AI systems to grasp context and nuances in human communication. For instance, in January 2024, Google Cloud unveiled a new conversational commerce solution that integrates AI-driven virtual agents into retailers' websites and mobile applications. These agents engage customers through natural language interactions, offering personalized product recommendations tailored to individual preferences. This innovation aims to enhance the shopping experience, making it more interactive and responsive, thereby increasing customer satisfaction and potentially driving higher conversion rates for retailers.

• Rapid Digital Transformation

The rapid digital transformation across industries has created a significant opportunity for the conversational AI market. As businesses increasingly move online, the need for effective customer engagement solutions has skyrocketed. For instance, in September 2021, The Astro robot was announced as a unique device designed to assist users with various tasks, including home monitoring and facilitating communication with loved ones. This innovative technology represents a new frontier in personal robotics, aiming to enhance daily life through automation and support. By combining practicality with advanced AI, Astro seeks to become a helpful companion in everyday settings.

Restraints/Challenges

• High Development and Maintenance Costs

High development and maintenance costs are significant challenges in the conversational AI market. Developing sophisticated AI systems requires substantial initial investment in technology, infrastructure, and talent. In addition, ongoing expenses for updates, model training, and system maintenance can strain budgets, particularly for small to medium-sized enterprises (SMEs). These financial barriers often lead to hesitance in adopting conversational AI solutions, limiting market growth. As SMEs may lack the resources to invest in such technologies, they risk falling behind competitors who can afford advanced systems. Consequently, the high costs associated with development and maintenance create a significant hurdle for broader market adoption and innovation.

• User Acceptance and Trust Issues

User acceptance and trust issues significantly hinder the conversational AI market. Many users remain skeptical about engaging with AI technologies, often preferring human interaction for sensitive or complex tasks. This skepticism stems from concerns about accuracy, reliability, and the inability of AI to fully understand human emotions and nuances. In addition, negative experiences with chatbots or virtual assistants can reinforce distrust, leading to reluctance in using conversational AI solutions. As a result, organizations face challenges in promoting these technologies, and the overall market growth is stunted. Without significant improvements in user experience and trust-building measures, widespread acceptance of conversational AI will remain limited.

This 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 market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Conversational AI Market Scope

The market is segmented on the basis of component, type, technology, deployment model, application, organization size, business function, mode of integration and end user. 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.

Component

• Platform
• Services
  • Training and Consulting
  • Support and Maintenance
  • Deployment and Integration

 Type

• Intelligent Virtual Assistants
• Chatbots

 Technology

• Machine Learning and Deep Learning
• Natural Language Processing
• Automated Speech Recognition

 Deployment Model

• 0n-Premises
• Cloud

 Application

• Customer Support
• Personal Assistant
• Branding and Advertisement
• Customer Engagement and Retention
• Onboarding and Employee Engagement
• Data Privacy and Compliance
• Others

 Organization Size

• Large Enterprises
• Small and Medium-Sized Enterprises

 Business Function

• Sales and Marketing
• Finance
• HR
• Operations
• IT Service Management

 Mode of Integration

• Web-based
• App-based
• Telephonic

End User

• Banking Financial Services, and Insurance
• Retail and Ecommerce
• Healthcare and Life Sciences
• Travel and Hospitality
• Telecom
• Media and Entertainment
• Others
  • Government
  • Hospitality
  • Manufacturing

Conversational AI Market Regional Analysis

The market is analyzed and market size insights and trends are provided by component, type, technology, deployment model, application, organization size, business function, mode of integration and end user as referenced above.

The countries covered in the market report are U.S., Canada, Mexico in North America, Germany, Sweden, Poland, Denmark, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, New Zealand, Vietnam, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in Asia-Pacific (APAC), Brazil, Argentina, Rest of South America as a part of South America, U.A.E, Saudi Arabia, Oman, Qatar, Kuwait, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America is expected to dominate the conversational AI market due to the presence of major players in this region and the growing demand for enhancing customer support service to enhance customer satisfaction and improve retention rates. Prevalence of advanced infrastructure in combination with surging adoption rates of augmented and virtual reality technologies are some other important factors determining the dominance of this region.

Asia-Pacific is expected to witness significant growth during the forecast period due to the rising awareness of innovative customer support technologies and services in the developing economies such as China and India. Moreover, escalating IT infrastructure in the region coupled with rapidly growing healthcare consciousness among the people will yet again bolster the growth of the market in this region.

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 such as 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.

Conversational AI Market Share

The 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 market.

Conversational AI Market Leaders Operating in the Market Are:

• Google, LLC (U.S.)
• Microsoft (U.S.)
• IBM (U.S.)
• Amazon Web Services, Inc. (U.S.)
• Baidu (China)
• Oracle (U.S.)
• SAP SE (Germany)
• FIS (U.S.)
• Artificial Solutions (Sweden)
• Kore.ai, Inc. (U.S.)
• Conversica, Inc. (U.S.)
• Inbenta Holdings Inc. (U.S.)
• Creative Virtual Ltd. (U.S.)
• SoundHound AI, Inc. (U.S.)
• Avaamo (U.S.)
• Jio Haptik Technologies Limited (U.S.)
• Solvvy (U.S.)
• Cisco Systems, Inc. (U.S.)
• Kasisto (U.S.)
• Gupshup (U.S.)

Latest Developments in Conversational AI Market

• In August 2023, Inbenta acquired Horizn, a Toronto-based software company specializing in interactive product demonstrations. This acquisition will integrate Horizn’s innovative technology into Inbenta’s AI-driven customer experience platform. By enhancing its offerings with Horizn’s capabilities, Inbenta aims to provide clients with engaging, immersive experiences that facilitate product understanding and customer satisfaction, thus reinforcing its commitment to transforming digital interactions in the marketplace
• In August 2023, Kore.ai Inc. introduced an integration of its Experience Optimization Platform with Zoom Contact Center, providing users with an intelligent virtual assistant powered by the Kore.ai XO platform. This integration enables Zoom's customers to leverage advanced conversational AI, enhancing customer service efficiency and responsiveness. By automating interactions, it allows businesses to streamline operations and improve user engagement, ultimately driving better customer experiences and satisfaction
• In March 2023, Nuance Communications launched the Dragon Ambient eXperience Express, the first product to blend conversational and ambient AI with OpenAI’s latest model, GPT-4. This innovative system automates clinical documentation within workflows, building on the success of the Dragon Medical product line. By enhancing the existing Dragon Ambient solution, Nuance aims to improve healthcare documentation processes, enabling healthcare providers to focus more on patient care
• In April 2021, Microsoft announced its acquisition of Nuance Communications for $19.7 billion in an all-cash deal, aiming to strengthen its voice recognition and transcription technology capabilities. Nuance, a leader in AI-based solutions, brings extensive expertise that will enhance Microsoft's offerings in healthcare and other sectors. This acquisition reflects Microsoft's commitment to advancing AI technologies and integrating them into its product ecosystem to better serve its customers
• In March 2021, Google Cloud announced the general availability of Vertex AI, a managed machine learning platform designed to streamline the development and maintenance of AI models. Vertex AI provides businesses with robust tools and infrastructure, enabling faster deployment of machine learning applications. By facilitating easier access to advanced AI capabilities, Google Cloud aims to empower organizations to leverage AI technologies more effectively and efficiently

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