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Conversational AI Market

Global Conversational AI Market Size, Share, Trends, Report: By Component: Platform, Services; By Technology: Machine Learning and Deep Learning, Natural Language Processing, Automated Speech Recognition; By Deployment Mode: Cloud, On- Premises; By End Use; Regional Analysis; Market Dynamics; Competitive Landscape; 2024-2032

Global Conversational AI Market Outlook

The global conversational AI market size reached approximately USD 9.69 billion in 2023. The market is projected to grow at a CAGR of 22.9% between 2024 and 2032, reaching a value of around USD 61.90 billion by 2032. 

 

Key Takeaways

  • Progress in Natural Language Processing (NLP) and Natural Language Understanding (NLU) aids in human language processing of conversational AI.
  • Businesses are integrating conversational AI into their omnichannel strategies to provide a consistent and seamless experience across multiple touchpoints.
  • The rise of voice assistants like Amazon Alexa, Google Assistant, and Apple Siri indicates a shift towards voice-enabled interfaces.

 

Conversational AI is a developing technology used in automated messaging and speech-enabled applications and devices to offer a human-like conversational experience to customers via machines. For instance, chatbots are software programmes that simulate human-like conversation by making use of artificial intelligence along with natural language processing. Conversational AI technology is used to imitate human interactions, recognising speech and text inputs translated across languages. This technology is mainly adopted by enterprises to enhance customer service, as it provides immediate automated responses and makes the experience seem more personalised.

 

The heightened digitalisation with increased adoption of the Internet of Things (IoT) and increasing access to Internet facilities across industries is anticipated to propel the conversational AI market growth. Artificial intelligence in chatbots, for instance, is used to simulate human dialogues by learning previous interactions and predicting subsequent exchanges, which would allow for quick and convenient conversations. Furthermore, the self-learning interface of chatbots enables them to correct their mistakes with every interaction, thus, giving them a human-like feel. In addition, the rising awareness about conversational AI is also contributing to its popularity.  For instance, voice-activated services such as Apple's Siri, Lenovo's Cortana, and Google's Ok Google are witnessing increased utilisation along with devices such as Google Mini, which can conversate and carry out small tasks.

 

Global Conversational AI Market

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Key Trends and Developments

Growing development of affordable AI chatbots; personalisation and contextualisation; increasing use of omnichannel marketing strategies; and growing demand for AI-enhanced customer support services are the major trends impacting the conversational AI market growth

 

Date Event
Sep 2023 Fujitsu unveiled two novel AI trust technologies designed to enhance the dependability of responses generated by conversational AI models as well as identify and address hallucinations in conversational AI models.
Feb 2024 Amazon introduced Rufus, a shopping assistant powered by conversational AI, aiming to elevate the shopping experience for its users.
Feb 2024 Kore.ai, a prominent platform in Conversational and Generative AI, has successfully raised USD 150 million in funding round spearheaded by FTV Capital and saw significant participation from NVIDIA, along with other current investors.
Feb 2024 Google Maps is undergoing a significant transformation with the integration of generative AI, enabling users to engage in conversational searches for locations.

 

 

Trends Impact
The growing development of affordable AI chatbots Advances in AI and machine learning, along with the availability of open-source frameworks and cloud-based services, are reducing the cost and complexity of developing chatbots.
Personalisation and contextualisation in conversational AI systems Conversational AI systems are becoming more sophisticated as they can remember past interactions and preferences, allowing for more contextual and relevant engagements with users.
Increasing use of omnichannel marketing strategies in conversational AI Omnichannel strategies in conversational AI aim to provide customers with a consistent and unified experience when they are interacting with a brand through any channel.
Growing consumer demand for AI-enhanced customer support services AI-enhanced customer support, through chatbots and virtual assistants, can provide instant replies 24/7, addressing this expectation effectively.

 

Conversational AI Market Trends

Advancements in AI and machine learning, combined with the widespread availability of open-source frameworks and cloud-based services, are significantly lowering the barriers to developing chatbots. These advancements in AI and machine learning have led to more sophisticated natural language processing (NLP) and understanding (NLU) capabilities as these technologies are becoming more accessible to developers through various platforms and services.

 

Open-source frameworks like Rasa, Botpress, or Microsoft Bot Framework provide developers with powerful tools to build chatbots without starting from scratch. These frameworks come with pre-built functionalities, extensive documentation, and community support, simplifying the development process, which aids conversational AI market development.

 

Fujitsu announced the introduction of two innovative AI trust technologies aimed at enhancing the trustworthiness of responses provided by conversational AI models. The advancements encompass a technique designed to identify hallucinations in conversational AI models. Hallucinations in this context refer to instances where generative AI produces outputs that are incorrect or irrelevant.

 

Global Conversational AI Market

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Market Segmentation

“Conversational AI Market Report and Forecast 2024-2032” offers a detailed analysis of the market based on the following segments:

 

Market Breakup Categories
Component Platform, Services
Technology Machine Learning and Deep Learning, Natural Language Processing, Automated Speech Recognition, Conversational AI
Deployment Mode Cloud, On-Premises
End Use Banking, Financial Services, and Insurance, Retail and E-commerce, Healthcare and Life Sciences, Travel and Hospitality, Telecom, Media and Entertainment
Region North America, Europe, Asia Pacific, Latin America, Middle East and Africa

 

Cloud-based deployment is expected to dominate the conversational AI market amid its growing implementation in multiple end-use sectors

The cloud segment is predicted to hold a significant conversational artificial AI market share. This can be attributed to the increased implementation of cloud technology in major industry verticals such as the healthcare and retail sectors to consolidate business processes, provide access and storage to a wide range of data, and improve work efficiency. In addition, the adoption of cloud-based models also offers low maintenance costs, which is predicted to aid the market growth in the coming years.

 

The demand for on-premises solutions in the conversational AI market is significant, particularly among businesses that prioritise data security, compliance, and customisation. For sectors that handle sensitive information, such as finance, healthcare, and government, on-premises solutions offer greater control over data security. Companies can enforce their own security protocols and comply with stringent regulations regarding data handling and privacy.

 

The retail and e-commerce sectors account for a major conversational AI market share, as retailers seek to improve customer experience

The conversational AI market growth is supported by its rising usage in the retail and e-commerce sectors as chatbots and virtual assistants, enable 24/7 customer service, providing instant responses to inquiries, resolving issues, and guiding customers through their shopping journey, which significantly enhances customer satisfaction and loyalty. AI-driven conversational tools can also offer personalised recommendations based on a customer's browsing history, purchase records, and preferences, mimicking a personalised shopping assistant and making the shopping experience more engaging and tailored.

 

The conversational artificial intelligence market in healthcare and life sciences is growing rapidly, driven by the need for improved healthcare accessibility, patient engagement, and operational efficiency. Conversational AI can provide 24/7 support to patients, answering queries, providing health information, and guiding them through treatment processes. This constant support can significantly improve patient engagement and satisfaction.

 

Global Conversational AI Market

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Competitive Landscape

The market players are leveraging advanced technologies and updating their existing offerings to stay ahead in the competition

 

Company Location Industry Specialisation
Oracle Corporation Texas, United States Cloud Computing Database software and technology, cloud-engineered systems, enterprise software products
IBM Corporation New York, United States Technology Computer hardware and software
Nuance Communications Massachusetts, United States Computer Software Conversational AI, speech recognition solutions
Avaamo, Inc. California, United States Enterprise Software Conversational AI, intelligent conversational interfaces for enterprises

 

The players in the conversational AI market are actively seeking and securing funding to strengthen their market presence and further develop their AI technology. Companies are using the capital from funding rounds to scale their operations, expand their teams, and increase their market reach which includes entering new geographic markets and industry verticals where conversational AI can address specific needs.

 

Conversational AI Market Analysis by Region

North America is estimated to hold a significant share of the market in the forecast period. The growth can be attributed to the presence of the leading market players in the region. In addition, the heightened adoption of conversational AI-based chatbot services by various enterprises for routine customer service applications to enhance customer satisfaction and improve operational efficiency is also expected to aid market growth. Moreover, the increased investment in the development of artificial intelligence technology is also expected to positively impact the market growth in the coming years.

 

The Asia Pacific conversational AI market is also witnessing a robust growth as many countries in the region are actively pursuing digital transformation in various sectors. Governments and businesses are investing in AI and related technologies to improve services, enhance productivity, and foster innovation. The region also has a high rate of internet and smartphone penetration, with a significant portion of the population accessing digital services through mobile devices which creates a conducive environment for mobile-first conversational AI applications.

 

Key Highlights of the Report

REPORT FEATURES DETAILS
Base Year 2023
Historical Period 2018-2023
Forecast Period 2024-2032
Scope of the Report

Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:

  • Component
  • Technology
  • Deployment Mode
  • End Use
  • Region
Breakup by Component
  • Platform
  • Services   
Breakup by Technology
  • Machine Learning and Deep Learning
  • Natural Language Processing
  • Automated Speech Recognition 
Breakup by Deployment Mode
  • Cloud
  • On- Premises
Breakup by End Use
  • Banking
  • Financial Services, and Insurance
  • Retail and E-commerce
  • Healthcare and Life Sciences
  • Travel and Hospitality
  • Telecom
  • Media and Entertainment
Breakup by Region
  • North America
    • United States of America 
    • Canada
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • ASEAN
    • Australia
    • Others
  • Latin America
    • Brazil
    • Argentina
    • Mexico
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • United Arab Emirates
    • Nigeria
    • South Africa
    • Others
Market Dynamics
  • SWOT Analysis
  • Porter's Five Forces Analysis
  • Key Indicators for Demand
  • Key Indicators for Price
Competitive Landscape
  • Market Structure
  • Company Profiles
    • Company Overview
    • Product Portfolio
    • Demographic Reach and Achievements
    • Certifications
Companies Covered
  • Google LLC
  • Microsoft Corporation
  • Amazon Web Services (AWS)
  • Oracle Corporation
  • IBM Corporation
  • Nuance Communications
  • Avaamo, Inc.
  • SAP SE
  • Cognigy GmbH
  • Rasa Technologies Inc
  • Kasisto, Inc.
  • Others
Report Price and Purchase Option Explore our purchase options that are best suited to your resources and industry needs.
Delivery Format Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option.

 

*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.

1    Preface
2    Report Coverage – Key Segmentation and Scope
3    Report Description

    3.1    Market Definition and Outlook
    3.2    Properties and Applications
    3.3    Market Analysis
    3.4    Key Players
4    Key Assumptions
5    Executive Summary

    5.1    Overview
    5.2    Key Drivers
    5.3    Key Developments
    5.4    Competitive Structure
    5.5    Key Industrial Trends
6    Snapshot
    6.1    Global
    6.2    Regional
7    Opportunities and Challenges in the Market
8    Global Conversational AI Market Analysis

    8.1    Key Industry Highlights
    8.2    Global Conversational AI Market Historical Market (2018-2023) 
    8.3    Global Conversational AI Market Forecast (2024-2032)
    8.4    Global Conversational AI Market by Component
        8.4.1    Platform
            8.4.1.1    Historical Trend (2018-2023)
            8.4.1.2    Forecast Trend (2024-2032)
        8.4.2    Services   
            8.4.2.1    Historical Trend (2018-2023)
            8.4.2.2    Forecast Trend (2024-2032)
    8.5    Global Conversational AI Market by Technology
        8.5.1    Machine Learning and Deep Learning
            8.5.1.1    Historical Trend (2018-2023)
            8.5.1.2    Forecast Trend (2024-2032)
        8.5.2    Natural Language Processing 
            8.5.2.1    Historical Trend (2018-2023)
            8.5.2.2    Forecast Trend (2024-2032)
        8.5.3    Automated Speech Recognition 
            8.5.3.1    Historical Trend (2018-2023)
            8.5.3.2    Forecast Trend (2024-2032)
    8.6    Global Conversational AI Market by Deployment Mode
        8.6.1    Cloud
            8.6.1.1    Historical Trend (2018-2023)
            8.6.1.2    Forecast Trend (2024-2032)
        8.6.2    On- Premises
            8.6.2.1    Historical Trend (2018-2023)
            8.6.2.2    Forecast Trend (2024-2032)
    8.7    Global Conversational AI Market by End Use
        8.7.1    Banking, Financial Services, and Insurance
            8.7.1.1    Historical Trend (2018-2023)
            8.7.1.2    Forecast Trend (2024-2032)
        8.7.2    Retail and E-commerce
            8.7.2.1    Historical Trend (2018-2023)
            8.7.2.2    Forecast Trend (2024-2032)
        8.7.3    Healthcare and Life Sciences
            8.7.3.1    Historical Trend (2018-2023)
            8.7.3.2    Forecast Trend (2024-2032)
        8.7.4    Travel and Hospitality
            8.7.4.1    Historical Trend (2018-2023)
            8.7.4.2    Forecast Trend (2024-2032)
        8.7.5    Telecom
            8.7.5.1    Historical Trend (2018-2023)
            8.7.5.2    Forecast Trend (2024-2032)
        8.7.6    Media and Entertainment
            8.7.6.1    Historical Trend (2018-2023)
            8.7.6.2    Forecast Trend (2024-2032)
    8.8    Global Conversational AI Market by Region       
        8.8.1    North America
            8.8.1.1    Historical Trend (2018-2023) 
            8.8.1.2    Forecast Trend (2024-2032)
        8.8.2    Europe
            8.8.2.1    Historical Trend (2018-2023) 
            8.8.2.2    Forecast Trend (2024-2032)
        8.8.3    Asia Pacific
            8.8.3.1    Historical Trend (2018-2023) 
            8.8.3.2    Forecast Trend (2024-2032)
        8.8.4    Latin America
            8.8.4.1    Historical Trend (2018-2023) 
            8.8.4.2    Forecast Trend (2024-2032)
        8.8.5    Middle East and Africa
            8.8.5.1    Historical Trend (2018-2023) 
            8.8.5.2    Forecast Trend (2024-2032)
9    North America Conversational AI Market Analysis
    9.1    United States of America 
        9.1.1    Historical Trend (2018-2023) 
        9.1.2    Forecast Trend (2024-2032)
    9.2    Canada
        9.2.1    Historical Trend (2018-2023) 
        9.2.2    Forecast Trend (2024-2032)
10    Europe Conversational AI Market Analysis
    10.1    United Kingdom
        10.1.1    Historical Trend (2018-2023) 
        10.1.2    Forecast Trend (2024-2032)
    10.2    Germany
        10.2.1    Historical Trend (2018-2023) 
        10.2.2    Forecast Trend (2024-2032)
    10.3    France
        10.3.1    Historical Trend (2018-2023) 
        10.3.2    Forecast Trend (2024-2032)
    10.4    Italy
        10.4.1    Historical Trend (2018-2023) 
        10.4.2    Forecast Trend (2024-2032)
    10.5    Others
11    Asia Pacific Conversational AI Market Analysis
    11.1    China
        11.1.1    Historical Trend (2018-2023) 
        11.1.2    Forecast Trend (2024-2032)
    11.2    Japan
        11.2.1    Historical Trend (2018-2023) 
        11.2.2    Forecast Trend (2024-2032)
    11.3    India
        11.3.1    Historical Trend (2018-2023) 
        11.3.2    Forecast Trend (2024-2032)
    11.4    ASEAN
        11.4.1    Historical Trend (2018-2023) 
        11.4.2    Forecast Trend (2024-2032)
    11.5    Australia
        11.5.1    Historical Trend (2018-2023) 
        11.5.2    Forecast Trend (2024-2032)
    11.6    Others
12    Latin America Conversational AI Market Analysis
    12.1    Brazil
        12.1.1    Historical Trend (2018-2023) 
        12.1.2    Forecast Trend (2024-2032)
    12.2    Argentina
        12.2.1    Historical Trend (2018-2023) 
        12.2.2    Forecast Trend (2024-2032)
    12.3    Mexico
        12.3.1    Historical Trend (2018-2023) 
        12.3.2    Forecast Trend (2024-2032)
    12.4    Others
13    Middle East and Africa Conversational AI Market Analysis
    13.1    Saudi Arabia
        13.1.1    Historical Trend (2018-2023) 
        13.1.2    Forecast Trend (2024-2032)
    13.2    United Arab Emirates
        13.2.1    Historical Trend (2018-2023) 
        13.2.2    Forecast Trend (2024-2032)
    13.3    Nigeria
        13.3.1    Historical Trend (2018-2023) 
        13.3.2    Forecast Trend (2024-2032)
    13.4    South Africa
        13.4.1    Historical Trend (2018-2023) 
        13.4.2    Forecast Trend (2024-2032)
    13.5    Others
14    Market Dynamics
    14.1    SWOT Analysis
        14.1.1    Strengths
        14.1.2    Weaknesses
        14.1.3    Opportunities
        14.1.4    Threats
    14.2    Porter’s Five Forces Analysis
        14.2.1    Supplier’s Power
        14.2.2    Buyer’s Power
        14.2.3    Threat of New Entrants
        14.2.4    Degree of Rivalry
        14.2.5    Threat of Substitutes
    14.3    Key Indicators for Demand
    14.4    Key Indicators for Price
15    Competitive Landscape
    15.1    Market Structure
    15.2    Company Profiles
        15.2.1    Google LLC
            15.2.1.1    Company Overview
            15.2.1.2    Product Portfolio
            15.2.1.3    Demographic Reach and Achievements
            15.2.1.4    Certifications
        15.2.2    Microsoft Corporation
            15.2.2.1    Company Overview
            15.2.2.2    Product Portfolio
            15.2.2.3    Demographic Reach and Achievements
            15.2.2.4    Certifications
        15.2.3    Amazon Web Services (AWS)
            15.2.3.1    Company Overview
            15.2.3.2    Product Portfolio
            15.2.3.3    Demographic Reach and Achievements
            15.2.3.4    Certifications
        15.2.4    Oracle Corporation
            15.2.4.1    Company Overview
            15.2.4.2    Product Portfolio
            15.2.4.3    Demographic Reach and Achievements
            15.2.4.4    Certifications
        15.2.5    IBM Corporation
            15.2.5.1    Company Overview
            15.2.5.2    Product Portfolio
            15.2.5.3    Demographic Reach and Achievements
            15.2.5.4    Certifications
        15.2.6    Nuance Communications
            15.2.6.1    Company Overview
            15.2.6.2    Product Portfolio
            15.2.6.3    Demographic Reach and Achievements
            15.2.6.4    Certifications
        15.2.7    Avaamo, Inc.
            15.2.7.1    Company Overview
            15.2.7.2    Product Portfolio
            15.2.7.3    Demographic Reach and Achievements
            15.2.7.4    Certifications
        15.2.8    SAP SE
            15.2.8.1    Company Overview
            15.2.8.2    Product Portfolio
            15.2.8.3    Demographic Reach and Achievements
            15.2.8.4    Certifications
        15.2.9    Cognigy GmbH
            15.2.9.1    Company Overview
            15.2.9.2    Product Portfolio
            15.2.9.3    Demographic Reach and Achievements
            15.2.9.4    Certifications
        15.2.10    Rasa Technologies Inc
            15.2.10.1    Company Overview
            15.2.10.2    Product Portfolio
            15.2.10.3    Demographic Reach and Achievements
            15.2.10.4    Certifications
        15.2.11    Kasisto, Inc.
            15.2.11.1    Company Overview
            15.2.11.2    Product Portfolio
            15.2.11.3    Demographic Reach and Achievements
            15.2.11.4    Certifications
        15.2.12    Others
16    Key Trends and Developments in the Market

 

List of Key Figures and Tables

1.    Global Conversational AI: Key Industry Highlights, 2018 and 2032
2.    Global Conversational AI Historical Market: Breakup by Component (USD Billion), 2018-2023
3.    Global Conversational AI Market Forecast: Breakup by Component (USD Billion), 2024-2032
4.    Global Conversational AI Historical Market: Breakup by Technology (USD Billion), 2018-2023
5.    Global Conversational AI Market Forecast: Breakup by Technology (USD Billion), 2024-2032
6.    Global Conversational AI Historical Market: Breakup by Development Mode (USD Billion), 2018-2023
7.    Global Conversational AI Market Forecast: Breakup by Development Mode (USD Billion), 2024-2032
8.    Global Conversational AI Historical Market: Breakup by End Use (USD Billion), 2018-2023
9.    Global Conversational AI Market Forecast: Breakup by End Use (USD Billion), 2024-2032
10.    Global Conversational AI Historical Market: Breakup by Region (USD Billion), 2018-2023
11.    Global Conversational AI Market Forecast: Breakup by Region (USD Billion), 2024-2032
12.    North America Global Conversational AI Historical Market: Breakup by Country (USD Billion), 2018-2023
13.    North America Global Conversational AI Market Forecast: Breakup by Country (USD Billion), 2024-2032
14.    Europe Global Conversational AI Historical Market: Breakup by Country (USD Billion), 2018-2023
15.    Europe Global Conversational AI Market Forecast: Breakup by Country (USD Billion), 2024-2032
16.    Asia Pacific Global Conversational AI Historical Market: Breakup by Country (USD Billion), 2018-2023
17.    Asia Pacific Global Conversational AI Market Forecast: Breakup by Country (USD Billion), 2024-2032
18.    Latin America Global Conversational AI Historical Market: Breakup by Country (USD Billion), 2018-2023
19.    Latin America Global Conversational AI Market Forecast: Breakup by Country (USD Billion), 2024-2032
20.    Middle East and Africa Global Conversational AI Historical Market: Breakup by Country (USD Billion), 2018-2023
21.    Middle East and Africa Global Conversational AI Market Forecast: Breakup by Country (USD Billion), 2024-2032
22.    Global Conversational AI Market Structure

Key Questions Answered in the Report

In 2023, the global conversational AI market attained a value of USD 9.69 billion.

The market is projected to grow at a CAGR of 22.9% between 2024 and 2032.

The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach USD 61.90 billion by 2032.

The major drivers of the market, such as the increased deployment of chatbots in major industry verticals, the rising adoption of IoT solutions, the rapid spread of the internet, and the increasing investments in research and development activities by the leading technology companies, are expected to aid the market growth.

The key market trends guiding the growth of the market include the rapid digitalisation and the growing technological advancements.

The major regions in the market are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.

The significant components considered within the market report include platform and services.

The significant segments based on technology include machine learning and deep learning, natural language processing, and automated speech recognition.

The major deployment modes include cloud and on-premises.

The significant end uses include banking, financial services and insurance, retail and e-commerce, healthcare and life sciences, travel and hospitality, telecom, and media and entertainment.

The major players in the market are Google LLC, Microsoft Corporation, Amazon Web Services (AWS), Oracle Corporation, IBM Corporation, Nuance Communications, Avaamo, Inc., SAP SE, Cognigy GmbH, Rasa Technologies Inc, and Kasisto, Inc., among others.

Analyst Review

The global conversational AI market attained a value of USD 9.69 billion in 2023, driven by the increased demand for conversational AI across different industry verticals. Aided by the rapid technological advancements, the market is expected to witness a further growth in the forecast period of 2024-2032, growing at a CAGR of 22.9%. The market is projected to reach USD 61.90 billion by 2032.

 

EMR’s meticulous research methodology delves deep into the market, covering the macro and micro aspects of the market. By component, the market can be distributed into platform and services. On the basis of technology, the market can be segmented into machine learning and deep learning, natural language processing, and automated speech recognition. Based on deployment mode, the market can be categorised into cloud and on-premises. On the basis of end use, the market can be segregated into banking, financial services and insurance, retail and e-commerce, healthcare and life sciences, travel and hospitality, telecom, and media and entertainment. The major regional markets for conversational AI are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa. The key players in the above market include Google LLC, Microsoft Corporation, Amazon Web Services (AWS), Oracle Corporation, IBM Corporation, Nuance Corporations, Avaamo, Inc., SAP SE, Cognigy GmbH, Rasa Technologies Inc, and Kasisto, Inc., among others.

 

EMR’s research methodology uses a combination of cutting-edge analytical tools and the expertise of their highly accomplished team, thus, providing their customers with market insights that are accurate, actionable, and help them remain ahead of their competition.

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