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Part of: Conversational AI Market (Global)

The South Korea Conversational AI Market was valued at $339.5 Million in 2025 and projected to reach to $948.3 Million by 2030, representing a compound annual growth rate of 18.7%. South Korea's conversational AI market is poised for accelerated growth through 2030, supported by the nation's commitment to AI innovation, robust 5G infrastructure, and widespread digital adoption across industries.

South Korea Conversational AI Market (2025-2030) : Size and Share
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Market Size in USD 26.32 MN
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South Korea Conversational AI Market Trends and Insights

  • This 18.7% compound annual growth rate reflects South Korea's strong digital infrastructure, advanced technology adoption, and significant investment in AI-driven customer engagement solutions.
  • South Korea's position as a global technology leader and its highly connected population are driving rapid deployment of conversational AI across enterprise and consumer segments. The South Korea conversational AI market benefits from the country's mature telecommunications ecosystem, high internet penetration, and early adoption of emerging technologies.
  • South Korea's enterprises are increasingly integrating conversational AI into customer service, sales, and operational workflows to enhance efficiency and user experience.
  • By 2030, South Korea is expected to solidify its role as a key regional hub for conversational AI innovation and implementation within the Asia Pacific market..

Key Market Statistics

  • CAGR (2025-2030) 18.7% CAGR
  • Market Size, 2025 ~USD 339.5 Million
  • Forecast, 2030 ~USD 948.3 Million
  • Country South Korea

South Korea Conversational AI Market Overview

Market Valuation Growth :

South Korea's conversational AI market is valued at USD 339.5 million in 2025, with projections reaching USD 948.3 million by 2030, representing a robust 18.7% CAGR driven by enterprise digital transformation initiatives.

Technology Leadership Position :

South Korea's advanced digital infrastructure and position as a global technology leader accelerate conversational AI adoption across banking, e-commerce, and customer service sectors, outpacing many regional competitors.

Enterprise Investment Surge :

Major South Korean conglomerates and SMEs are significantly investing in AI-driven customer engagement solutions, creating substantial opportunities for conversational AI vendors and solution providers in the region.

Competitive Market Dynamics :

South Korea's conversational AI market features intense competition from both domestic tech giants and international players, driving innovation in natural language processing and multilingual capabilities tailored to Korean language nuances.

South Korea Conversational AI Market Dynamics

  • The market will be driven by increasing demand for personalized customer experiences, automation of business processes, and integration of conversational AI into mobile-first platforms that align with South Korean consumer preferences. Key growth catalysts include government AI initiatives, corporate investment in digital transformation, and the emergence of Korean-language AI models.
  • The market will see expanding applications beyond customer service into healthcare, financial services, and education sectors.
  • Competition will intensify as both established technology firms and startups develop specialized solutions for the South Korean market, fostering continuous innovation and competitive pricing..

Related Ecosystem

Analytics

Top Technologies
  • Natural Language Processing (NLP)
  • Machine Learning
  • Supply Chain Management
  • Predictive Analytics
  • Image Sensors
Top Companies
  • International Business Machines Corporation
  • MICROSOFT CORPORATION
  • Oracle Corporation
  • SAP SE
  • GOOGLE

    Cloud Computing

    Top Technologies
    • Software as A Service (SaaS)
    • Natural Language Processing (NLP)
    • Platform as A Service (PaaS)
    • Machine Learning
    • Supply Chain Management
    Top Companies
    • International Business Machines Corporation
    • MICROSOFT CORPORATION
    • Oracle Corporation
    • Amazon.com, Inc.
    • GOOGLE

      Mobility And Telecom

      Top Technologies
      • Smart Utilities
      • Smart Healthcare
      • Sensors
      • Parking Management System
      • Passenger Information System (PIS)
      Top Companies
      • AT&T Inc.
      • Cisco Systems, Inc.
      • HUAWEI TECHNOLOGIES CO LTD
      • Telefonaktiebolaget LM Ericsson (publ)
      • International Business Machines Corporation

        Key Takeaways

        • South Korea's conversational AI market is valued at USD 339.5 million in 2025 and will grow to USD 948.3 million by 2030, representing a 18.7% CAGR.
        • South Korea's advanced digital infrastructure and high technology adoption rates position the country as a leading conversational AI market in Asia Pacific.
        • South Korea's enterprises are rapidly deploying conversational AI solutions across customer service, sales, and operational functions to drive competitive advantage.
        • South Korea's strong telecommunications ecosystem and highly connected population create favorable conditions for conversational AI expansion through 2030.

        Conversational AI Market Report Scope

        Report Metric Details
        Base Year 2025
        Fastest Growing Segment GENERATIVE AI AGENTS (Product Type)
        Forecast Period 2025–2030
        Growth Rate CAGR of 19.6% from 2025 to 2030
        Largest Segment INTERNAL ENTERPRISE SYSTEMS (Integration Type)
        Market Size Base Year (Billions) ~USD 17.02 (2025)
        Revenue Forecast (Billions) ~USD 41.64 (2030)
        Segments Covered Offering, Deployment Mode, Service, Professional Service, Product Type, Business Function, Integration Type, End User, Enterprise

        South Korea Conversational AI Market Report Segmentation

        9 segment dimensions are covered across the global market.

        By Offering

        • Services
        • Software

        By Deployment Mode

        • Cloud
        • On-Premises

        By Service

        • Managed Services
        • Professional Services

        By Professional Service

        • Consulting & Advisory
        • Integration & Deployment
        • Support & Maintenance
        • Training & Education

        By Product Type

        • AI Chatbots
        • Generative AI Agents
        • Virtual Assistants
        • Voice Bots

        By Business Function

        • Finance & Accounting
        • Hr
        • Itsm
        • Operations & Supply Chain
        • Sales & Marketing

        By Integration Type

        • External Communication Channels
        • Internal Enterprise Systems

        By End User

        • Enterprises
        • Individual Users

        By Enterprise

        • Automotive
        • Bfsi
        • Energy & Utilities
        • Government & Defense
        • Healthcare & Life Sciences
        • Media & Entertainment
        • Other Enterprise
        • Other Enterprises
        • Retail & E-Commerce
        • Technology & Software
        • Telecommunications
        • Transportation & Logistics
        • Travel & Hospitality

        Target Audience

        • Conversational AI Vendors : Solution providers need South Korea-specific market data to identify customer segments, competitive positioning, pricing strategies, and localization requirements for Korean language and cultural preferences.
        • Enterprise Technology Leaders : South Korean corporations require market intelligence to benchmark their conversational AI investments, identify best practices, and understand competitive threats in their domestic market.
        • Investment & Private Equity Firms : Investors targeting South Korea's AI sector need detailed market forecasts, growth drivers, and opportunity analysis to evaluate portfolio companies and identify promising investment targets.
        • Management Consultants : Consulting firms advising South Korean enterprises on digital transformation need localized market data to develop credible strategies and recommendations for conversational AI implementation.
        • Government & Policy Makers : South Korean government agencies and policy bodies require market insights to inform AI strategy, regulatory frameworks, and investment priorities aligned with national digital transformation goals.

        Key Companies in the South Korea Conversational AI Market

        CompanyHQOwnershipStrongest segments
        ENGHOUSE INTERACTIVEUnited StatesPrivate CompanyOmnichannel contact center platforms,Telecommunications technology and infrastructure applications,EnghouseAI and customer experience automation,
        SONATA SOFTWARE LIMITEDIndiaPublic CompanyCloud & Infrastructure Modernization (Azure, AWS, GCP, managed cloud),Microsoft Business Applications & Dynamic Modernization (D365, Power Platform, CX),Data & AI (Fabric, Snowflake, data privacy, generative and agentic AI),
        LARSEN & TOUBRO INFOTECH LIMITEDIndiaPublic CompanyApplication Management & Enterprise Applications (SAP, Oracle, ServiceNow, Microsoft),Cloud, Infrastructure & Cybersecurity (CIS, enterprise cloud, integration),Data, Analytics & AI-led Engineering (BlueVerse, Voicing.AI, AI engineering),
        SOPRA STERIAFrancePublic CompanyConsulting and Digital Transformation Services,Technology Services (AI, Cloud, Data, IoT, Blockchain, 5G, Industrial Metaverse, Intelligent Automation),Systems Integration and Application Modernization,
        TERADATA CORPORATIONUnited StatesPublic CompanyAI & Knowledge Platform (software, subscriptions, cloud),Consulting & Support Services,
        PRESIDIO, INC.United StatesPrivate CompanyCloud & Modern Platform (incl. AWS-centric solutions),Cybersecurity & Physical Security,Modern Networking & Connectivity,
        MICROSOFTUnited StatesPublic CompanyProductivity and Business Processes,Intelligent Cloud,Personal Computing,
        IBMUnited StatesPublic CompanySoftware (Hybrid Cloud & AI Platforms),Consulting (Strategy, Technology, Intelligent Operations),Infrastructure (Servers, Storage, Lifecycle Services),
        GOOGLEUnited StatesPublic CompanySearch & Other Google Services Ads,YouTube Ads,Google Cloud (including Workspace),
        ORACLEUnited StatesPublic CompanyCloud Applications (Fusion ERP/EPM/SCM/HCM, NetSuite, Oracle Health, CX),Database and Middleware (Oracle Database, MySQL, Java, middleware tools),Cloud Infrastructure (compute, storage, networking, autonomous database on IaaS/PaaS),
        BAIDUChinaPublic CompanyOnline marketing & search (Baidu App, feed, maps),iQIYI online entertainment and services,AI cloud and enterprise AI solutions,
        SAPGermanyPublic CompanyS/4HANA and core ERP finance,Human Experience Management (SAP SuccessFactors),Spend Management and Business Network,
        LIVEPERSONUnited StatesPublic CompanyCore LivePerson Platform (messaging, chat, hosted services),Conversational AI and automation (LLM automation, agent tools, orchestration),Syntrix AI validation and conversation intelligence,
        EGAINUnited StatesPublic CompanyCloud-based CX and knowledge platform (subscription),Professional services (consulting, implementation, training),Legacy licenses and maintenance,
        SOUNDHOUND AIUnited StatesPublic CompanyHoundify / Voice AI Platform & Custom Voice AI Solutions,Chat AI for Automotive & Dynamic Drive-Thru / Smart Ordering,Smart Answering & Employee Assist / Customer Service AI,
        VERINTUnited StatesPublic CompanyCall recording and quality monitoring,Workforce management and optimization,Speech and text analytics,

        ENGHOUSE INTERACTIVE

        Enghouse Interactive is a private software company founded in 1984 and based in the United States, with 243 employees.

        SONATA SOFTWARE LIMITED

        Sonata Software Limited is a public Indian software company founded in 1986 with 5,948 employees.

        LARSEN & TOUBRO INFOTECH LIMITED

        Larsen & Toubro Infotech Limited is a large public Indian IT services company founded in 1996, employing 87,950 people.

        SOPRA STERIA

        Sopra Steria is a French public technology and consulting company founded in 1968 with 51,275 employees.

        TERADATA CORPORATION

        Teradata Corporation is a public U.S. software company founded in 1979 with 5,100 employees.

        PRESIDIO, INC.

        Presidio, Inc. is a private U.S. technology services company founded in 2003 with 2,900 employees.

        MICROSOFT

        Microsoft is a public U.S. technology company founded in 1975 with 228,000 employees.

        IBM

        IBM is a public U.S. technology and services company founded in 1911 with 264,300 employees.

        GOOGLE

        Google is a public U.S. technology company founded in 1998 with 194,668 employees.

        ORACLE

        Oracle is a public U.S. software company founded in 1977 with 141,000 employees.

        BAIDU

        Baidu is a public Chinese technology company founded in 2000 with 33,500 employees.

        SAP

        SAP is a public German software company founded in 1972 with 111,038 employees.

        LIVEPERSON

        LivePerson is a public U.S. software company founded in 1995 with 606 employees.

        EGAIN

        eGain is a public U.S. software company founded in 1997 with 445 employees.

        SOUNDHOUND AI

        SoundHound AI is a public U.S. artificial intelligence company founded in 2005 with 954 employees.

        VERINT

        Verint is a public U.S. technology company founded in 1994.

        Reasons to Buy this Report

        • Localized Market Intelligence : Gain deep insights specific to South Korea's unique market dynamics, regulatory environment, and consumer preferences that differ significantly from global market trends and other regional markets.
        • Competitive Positioning Strategy : Understand South Korean market leaders, emerging players, and competitive landscapes to develop effective market entry strategies and differentiation approaches for conversational AI solutions.
        • Investment Decision Support : Access comprehensive forecasts and growth projections through 2030 to make informed investment decisions, resource allocation, and expansion planning specific to the South Korean market opportunity.
        • Sector-Specific Opportunities : Identify high-growth verticals within South Korea including banking, e-commerce, telecommunications, and healthcare where conversational AI adoption is accelerating most rapidly.
        • Technology Adoption Insights : Understand South Korean enterprise requirements, technology preferences, and implementation challenges to tailor product development and go-to-market strategies for maximum market penetration.

        Frequently asked questions

        What is the current size of South Korea's conversational AI market?

        South Korea's conversational AI market is valued at USD 339.5 million in 2025 and is projected to reach USD 948.3 million by 2030.

        What is the expected growth rate for conversational AI in South Korea?

        South Korea's conversational AI market is expected to grow at a compound annual growth rate (CAGR) of 18.7% from 2025 to 2030.

        Which industries in South Korea are driving conversational AI adoption?

        South Korea's banking, retail, telecommunications, and e-commerce sectors are leading conversational AI adoption to enhance customer engagement and operational efficiency.

        What factors are accelerating conversational AI growth in South Korea?

        South Korea's advanced digital infrastructure, high internet penetration, technology-savvy population, and strong enterprise investment in AI solutions are key growth drivers.

        How does South Korea's conversational AI market compare to other Asia Pacific countries?

        South Korea ranks among the top conversational AI markets in Asia Pacific due to its technological leadership, mature digital ecosystem, and rapid enterprise adoption of AI solutions.

        RESEARCH METHODOLOGY

        The research study for the conversational AI market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred conversational AI providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews with primary respondents, including key industry participants and subject matter experts, were conducted to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

        Secondary Research

        In the secondary research process, various sources were referred to identify and collect information for the study. The secondary sources included annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as AI conferences and related magazines. Additionally, the conversational AI spending of various countries was extracted from respective sources. Secondary research was used to obtain key information about the industry’s value chain and supply chain to identify key players by solution, service, market classification, and segmentation according to the offerings of major players and industry trends related to solutions, applications, verticals, and regions, and key developments from both market and technology-oriented perspectives.

        Primary Research

        In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and conversational AI expertise; related key executives from conversational AI solution vendors, SIs, managed service providers, and industry associations; and key opinion leaders.

        Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, data types, service types, software types, verticals, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using conversational AI solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of conversational AI, which would impact the overall conversational AI market.

        Conversational AI Market Size, and Share

        Note: Tier 1 companies account for annual revenue of >USD 10 billion; tier 2 companies’ revenue ranges
        between USD 1 and 10 billion; and tier 3 companies’ revenue ranges between USD 500 million–USD 1 billion
        Source: MarketsandMarkets Analysis

        To know about the assumptions considered for the study, download the pdf brochure

        Market Size Estimation

        Multiple approaches were adopted to estimate and forecast the conversational AI market. The first approach involves estimating the market size by summing up the companies’ revenue generated by selling solutions and services.

        Market Size Estimation Methodology - Top-down approach

        In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the conversational AI market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on the breadth of solutions according to software type, service type, product type, business function, integration type, and end user. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

        Market Size Estimation Methodology - Bottom-up approach

        In the bottom-up approach, the adoption rate of conversational AI solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of conversational AI solutions among industries, along with different use cases with respect to their regions, was identified and extrapolated. Use cases identified in different regions were given weightage for the market size calculation.

        Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the conversational AI market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major conversational AI providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall conversational AI market size and segments’ size were determined and confirmed using the study.

        Conversational AI Market : Top-Down and Bottom-Up Approach

        Conversational AI Market Top Down and Bottom Up Approach

        Data Triangulation

        After arriving at the overall market size using the market size estimation processes explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

        Market Definition

        Conversational AI enables machines to engage in human-like interactions by understanding, processing, and generating natural language through text or speech. It powers applications such as chatbots, virtual assistants, and voice-enabled devices, allowing them to interpret user intent, provide relevant responses, and carry out tasks in real-time. This technology leverages natural language processing (NLP), machine learning, and speech recognition to create seamless and dynamic communication between humans and machines.

        Stakeholders

        • Conversational AI software providers
        • Conversational AI service providers
        • Third-party administrators
        • Business analysts
        • Cloud service providers
        • Consulting service providers
        • Enterprise end users
        • Distributors and value-added resellers (VARs)
        • Government agencies
        • Independent Software Vendors (ISVs)
        • Managed service providers
        • Market research and consulting firms
        • Support & maintenance service providers
        • System Integrators (SIs)/Migration service providers
        • Technology providers

        Report Objectives

        • To define, describe, and forecast the conversational AI market by offering, product type, business function, integration type, and end user
        • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
        • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
        • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the conversational AI market
        • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
        • To forecast the market size of segments for the five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
        • To profile the key players and comprehensively analyze their market ranking and core competencies
        • To analyze competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the conversational AI market

        Available Customizations

        With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

        Product Analysis

        • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

        Geographic Analysis as per Feasibility

        • Further breakup of the North American conversational AI market
        • Further breakup of the European market
        • Further breakup of the Asia Pacific market
        • Further breakup of the Middle Eastern & African market
        • Further breakup of the Latin American conversational AI market

        Company Information

        • Detailed analysis and profiling of additional market players (up to five)

         

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