Отчет об анализе размера, доли и тенденций мирового рынка разговорного ИИ — обзор отрасли и прогноз до 2031 года

Анализ рынка разговорного ИИ

Рынок разговорного ИИ переживает значительный рост, обусловленный достижениями в области технологий обработки естественного языка (NLP) и машинного обучения (ML). Эти инновации повышают способность чат-ботов и виртуальных помощников понимать и реагировать на человеческий язык более точно и контекстно. Один из последних методов включает интеграцию моделей-трансформеров, таких как GPT и BERT, которые повышают качество разговоров, обеспечивая более глубокое контекстное понимание.

Эти технологии широко внедряются в различных секторах, включая обслуживание клиентов, здравоохранение и электронную коммерцию. Например, компании используют разговорный ИИ для автоматизации взаимодействия с клиентами, что приводит к снижению эксплуатационных расходов и повышению удовлетворенности клиентов. Спрос на персонализированный опыт подпитывает этот рост, поскольку потребители все чаще ожидают от брендов индивидуальных ответов. Более того, распространение голосовых устройств и интеллектуальных помощников еще больше стимулирует рост рынка, поскольку пользователи предпочитают естественное взаимодействие без помощи рук.

Размер рынка разговорного ИИ

Объем мирового рынка разговорного ИИ в 2023 году оценивался в 10,42 млрд долларов США, а к 2031 году, по прогнозам, он достигнет 58,37 млрд долларов США, при среднегодовом темпе роста 24,04% в прогнозируемый период с 2024 по 2031 год. Помимо таких аналитических данных о рынке, как рыночная стоимость, темпы роста, сегменты рынка, географический охват, участники рынка и рыночный сценарий, рыночный отчет, подготовленный командой Data Bridge Market Research, включает в себя углубленный экспертный анализ, анализ импорта/экспорта, анализ цен, анализ производства и потребления, а также анализ пестицидов.

Тенденции рынка разговорного ИИ

«Расширение использования голосовых помощников»

One significant trend driving the growth of the conversational AI market is the increasing adoption of voice assistants across various devices. Voice-enabled devices, such as smart speakers and smartphones, have become integral to daily life, allowing users to interact seamlessly with technology. For instance, in January 2024, IBM Consulting introduced the IBM Consulting Advantage, a comprehensive AI services platform designed to enhance efficiency for consultants. This platform features unique methods and tools that leverage both IBM's technology and its strategic partners. Early adopters of this initiative reported productivity boosts of up to 50%, showcasing significant improvements in application design, development, and testing, thus reinforcing IBM's leadership in consulting solutions.

Report Scope and Conversational AI Market Segmentation   

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.)
• Байду (Китай)
• Оракул (США)
• SAP SE (Германия)
• ФИС (США)
• Искусственные решения (Швеция)
• Kore.ai, Inc. (США)
• Conversica, Inc. (США)
• Inbenta Holdings Inc. (США)
• Creative Virtual Ltd. (США)
• SoundHound AI, Inc. (США)
• Аваамо (США)
• Jio Haptik Technologies Limited (США)
• Solvvy (США)
• Cisco Systems, Inc. (США)
• Касисто (США)
• Гупшуп (США)

Последние разработки на рынке разговорного ИИ

• В августе 2023 года Inbenta приобрела Horizn, компанию-разработчика программного обеспечения из Торонто, специализирующуюся на интерактивных демонстрациях продуктов. Это приобретение позволит интегрировать инновационные технологии Horizn в платформу клиентского опыта Inbenta, основанную на искусственном интеллекте. Расширяя свои предложения возможностями Horizn, Inbenta стремится предоставлять клиентам увлекательные, захватывающие впечатления, которые облегчают понимание продукта и удовлетворение клиентов, тем самым укрепляя свою приверженность трансформации цифровых взаимодействий на рынке
• В августе 2023 года компания Kore.ai Inc. представила интеграцию своей платформы оптимизации опыта с Zoom Contact Center, предоставив пользователям интеллектуального виртуального помощника на базе платформы Kore.ai XO. Эта интеграция позволяет клиентам Zoom использовать передовой разговорный ИИ, повышая эффективность и скорость реагирования обслуживания клиентов. Автоматизируя взаимодействия, она позволяет компаниям оптимизировать операции и повышать вовлеченность пользователей, в конечном итоге улучшая качество обслуживания и удовлетворенность клиентов.
• В марте 2023 года Nuance Communications выпустила Dragon Ambient eXperience Express — первый продукт, объединяющий разговорный и окружающий ИИ с новейшей моделью OpenAI GPT-4. Эта инновационная система автоматизирует клиническую документацию в рабочих процессах, опираясь на успех линейки продуктов Dragon Medical. Улучшая существующее решение Dragon Ambient, Nuance стремится улучшить процессы документирования в здравоохранении, позволяя поставщикам медицинских услуг больше сосредоточиться на уходе за пациентами
• В апреле 2021 года Microsoft объявила о приобретении Nuance Communications за 19,7 млрд долларов США в рамках сделки с оплатой наличными, направленной на укрепление ее возможностей в области распознавания голоса и транскрипции. Nuance, лидер в области решений на основе ИИ, привносит обширный опыт, который улучшит предложения Microsoft в сфере здравоохранения и других секторов. Это приобретение отражает приверженность Microsoft развитию технологий ИИ и их интеграции в свою экосистему продуктов для лучшего обслуживания клиентов
• В марте 2021 года Google Cloud объявила о выпуске Vertex AI — управляемой платформы машинного обучения, призванной упростить разработку и обслуживание моделей ИИ. Vertex AI предоставляет компаниям надежные инструменты и инфраструктуру, что позволяет быстрее развертывать приложения машинного обучения. Google Cloud стремится предоставить организациям возможность более эффективно и результативно использовать технологии ИИ.

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