세계의 대화형 시스템 시장 규모, 점유율, 동향 분석 보고서 : 컴포넌트별, 용도별, 유형별, 최종사용자별, 지역별, 전망과 예측(2024-2031년)
Global Conversational Systems Market Size, Share & Trends Analysis Report By Component (Compute Platforms, Solutions, and Services), By Application, By Type, By End User, By Regional Outlook and Forecast, 2024 - 2031
상품코드:1635212
리서치사:KBV Research
발행일:2024년 12월
페이지 정보:영문 323 Pages
라이선스 & 가격 (부가세 별도)
한글목차
세계 대화형 시스템 시장 규모는 예측 기간 동안 26.6%의 연평균 복합 성장률(CAGR)로 성장하여 2031년까지 685억 달러에 달할 것으로 예상됩니다.
KBV Cardinal matrix-대화형 시스템 시장 경쟁 분석
KBV Cardinal matrix에 제시된 분석에 따르면, 대화형 시스템 시장의 선구자는 Microsoft Corporation과 Google LLC이며, 2024년 6월, Google LLC는 인도에서 Gemini 챗봇 앱을 출시하였습니다. 영어와 9개 인도 언어(힌디어, 벵골어, 벵골어, 구자라트어, 칸나다어, 마라타어, 마라타어, 타밀어, 텔루구어, 우르두어)를 지원하며, 안드로이드 사용자는 구글 플레이 스토어 또는 구글 어시스턴트(Google Assistant)에서 다운로드할 수 있습니다. Amazon Web Services, Inc., Oracle Corporation, IBM Corporation과 같은 기업들은 대화형 시스템 시장의 주요 혁신가들 중 일부입니다.
시장 성장 요인
인공지능(AI)과 머신러닝(ML)의 급속한 발전으로 인해 이러한 시스템의 기능이 크게 변화했습니다. 최신 AI 알고리즘을 통해 이러한 시스템은 복잡한 사용자 입력을 정확하게 처리하고 해석할 수 있게 되었으며, 응답이 보다 맥락에 맞게 인간화될 수 있게 되었습니다. 자연어 처리(NLP) 및 자연어 이해(NLU)와 같은 기술을 통해 이러한 시스템은 이전에는 해독하기 어려웠던 어조, 의도 및 감정과 같은 언어의 뉘앙스를 이해할 수 있습니다. 따라서 이러한 요소들은 시장 성장에 도움이 될 것입니다.
또한, 기업들은 고객 경험 향상에 대한 요구가 높아짐에 따라 소비자와의 상호 작용을 변화시키고 있습니다. 오늘날의 경쟁 환경에서 기업들은 고객 충성도를 높이고 만족도를 높이기 위해 참여와 개인화를 우선순위로 삼고 있습니다. 현대의 고객들은 자신의 고유한 니즈를 고려한 맞춤형 상호작용을 기대하며, 개인화된 커뮤니케이션은 중요한 비즈니스 전략이 되고 있습니다. 따라서 이러한 요인들이 시장 성장을 견인할 것으로 예상됩니다.
시장 성장 억제요인
그러나 이러한 시스템은 개인 정보, 금융 데이터, 의료 기록 등 민감한 사용자 정보를 다루는 경우가 많기 때문에 강력한 프라이버시 보호 조치가 필수적입니다. 그러나 데이터 저장, 전송 및 처리의 취약성은 사용자들에게 불안감을 조성합니다. 이러한 시스템이 정보를 보호할 수 있다는 확신이 없다면, 사용자는 시스템이 효과적으로 작동하는 데 필요한 데이터를 공유하는 것을 주저할 수 있습니다. 따라서 이러한 요인들은 시장 성장을 저해할 수 있습니다.
컴포넌트 전망
구성 요소에 따라 시장은 컴퓨팅 플랫폼, 솔루션 및 서비스로 분류됩니다. 솔루션 부문은 2023년 시장에서 31%의 매출 점유율을 차지할 것으로 예상됩니다. 솔루션 부문은 챗봇, 가상 비서, 음성 인식 인터페이스와 같은 대화형 AI 용도의 업계 전반에서 채택이 증가하면서 성장세를 보이고 있습니다. 기업들은 고객 참여 강화, 지원 서비스 자동화, 운영 간소화를 위해 이러한 솔루션에 점점 더 많이 의존하고 있습니다.
용도 전망
용도에 따라 시장은 고객 지원 및 개인 지원, 브랜딩 및 광고, 데이터 프라이버시 및 규정 준수, 기타로 분류됩니다. 브랜딩 및 광고 부문은 2023년 시장에서 30%의 매출 점유율을 기록할 것으로 예상됩니다. 마케팅 캠페인은 인터랙티브하고 매력적인 고객 경험을 창출하기 위해 이러한 시스템을 점점 더 많이 사용하고 있습니다. 브랜드는 챗봇과 음성 비서를 사용하여 개인화된 권장 사항을 제공하고, 제품 관련 질문에 답하고, 사용자의 구매를 유도하기 위해 챗봇과 음성 비서를 사용합니다.
유형별 전망
유형별로 보면, 시장은 텍스트 비서, 음성 비서, 기타로 분류됩니다. 음성 어시스턴트 부문은 2023년 시장에서 28%의 매출 점유율을 차지할 것으로 예상됩니다. 이러한 어시스턴트는 스마트 홈 기기, 자동차 시스템, 모바일 애플리케이션에서 점점 더 많이 사용되고 있으며, 사용자에게 핸즈프리 편의성과 원활한 상호 작용을 제공합니다. 자연어 처리(NLP)와 음성인식 기술의 발전으로 음성비서의 정확도와 기능이 크게 향상되어 음성비서의 채택을 촉진하고 있습니다.
최종 사용자 전망
최종 사용자에 따라 시장은 통신, 은행/금융서비스/보험(BFSI), 소매 및 전자상거래, 미디어 및 엔터테인먼트, 의료 및 생명 과학, 여행 및 접객업, 기타로 분류됩니다. BFSI 부문은 2023년 시장에서 23%의 매출 점유율을 차지할 것으로 예상됩니다. 이러한 시스템은 일상적인 은행 업무 자동화, 실시간 금융 자문 제공, 사기 감지 및 예방에 널리 사용되고 있습니다. 챗봇과 가상 어시스턴트는 계정 정보, 대출 정보 또는 투자 옵션을 요청하는 고객과의 원활한 상호 작용을 제공하고, 데이터 보안 및 규제 표준 준수를 보장합니다.
지역 전망
지역별로는 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카로 시장을 분석했습니다. 유럽 부문은 2023년 시장에서 30%의 매출 점유율을 차지할 것으로 예상됩니다. 유럽 부문은 데이터 프라이버시, 규제 준수, 시스템의 다국어 기능에 중점을 두고 GDPR(EU 개인정보보호규정)(EU 개인정보보호규정)과 같은 엄격한 규제가 시행되면서 안전하고 신뢰할 수 있는 대화형 AI 솔루션의 개발을 촉진하고 소비자 신뢰를 구축하는 데 도움이 되고 있습니다. 유럽의 다양한 언어적, 문화적 상황에 맞는 다국어 대화형 시스템에 대한 수요로 인해 채택이 더욱 가속화되고 있습니다.
시장 경쟁과 특성
대화형 시스템 시장에서의 경쟁은 다양한 스타트업과 전문 기업들에 의해 주도되고 있습니다. 이들 기업은 틈새 혁신에 초점을 맞추고 다양한 산업 분야에 맞춤형 솔루션을 제공합니다. 이들은 시장 리더와 같은 풍부한 자원은 없지만 민첩성, 창의성, 전문성을 바탕으로 역동적이고 세분화된 경쟁 구도를 형성하고 있습니다.
목차
제1장 시장 범위와 조사 방법
시장의 정의
목적
시장 범위
세분화
조사 방법
제2장 시장 요람
주요 하이라이트
제3장 시장 개요
서론
개요
시장 구성과 시나리오
시장에 영향을 미치는 주요 요인
시장 성장 촉진요인
시장 성장 억제요인
시장 기회
시장이 해결해야 할 과제
제4장 경쟁 분석 - 세계
KBV Cardinal Matrix
최근 업계 전체의 전략적 전개
파트너십/협업/계약
제품 발매와 제품 확대
시장 점유율 분석, 2023년
주요 성공 전략
주요 전략
주요 전략적 동향
Porter의 Five Forces 분석
제5장 세계의 대화형 시스템 시장 : 컴포넌트별
세계의 컴퓨팅 플랫폼 시장 : 지역별
세계의 솔루션 시장 : 지역별
세계의 서비스 시장 : 지역별
제6장 세계의 대화형 시스템 시장 : 용도별
세계의 고객 지원 및 퍼스널 어시스턴스 시장 : 지역별
세계의 브랜딩 및 광고 시장 : 지역별
세계의 데이터 프라이버시 및 컴플라이언스 시장 : 지역별
세계의 기타 용도 시장 : 지역별
제7장 세계의 대화형 시스템 시장 : 유형별
세계의 텍스트 어시스턴트 시장 : 지역별
세계의 음성 어시스턴트 시장 : 지역별
세계의 기타 유형 시장 : 지역별
제8장 세계의 대화형 시스템 시장 : 최종사용자별
세계의 통신 시장 : 지역별
세계의 은행/금융서비스/보험(BFSI) 시장 : 지역별
세계의 소매 및 전자상거래 시장 : 지역별
세계의 미디어 및 엔터테인먼트 시장 : 지역별
세계의 헬스케어 및 생명과학 시장 : 지역별
세계의 여행 및 호스피탈리티 시장 : 지역별
세계의 기타 최종사용자 시장 : 지역별
제9장 세계의 대화형 시스템 시장 : 지역별
북미
북미 시장 : 국가별
미국
캐나다
멕시코
기타 북미
유럽
유럽 시장 : 국가별
독일
영국
프랑스
러시아
스페인
이탈리아
기타 유럽
아시아태평양
아시아태평양 시장 : 국가별
중국
일본
인도
한국
싱가포르
말레이시아
기타 아시아태평양
라틴아메리카, 중동 및 아프리카
라틴아메리카, 중동 및 아프리카 시장 : 국가별
브라질
아르헨티나
아랍에미리트(UAE)
사우디아라비아
남아프리카공화국
나이지리아
기타 라틴아메리카, 중동 및 아프리카
제10장 기업 개요
IBM Corporation
Microsoft Corporation
Google LLC(Alphabet Inc)
Amazon Web Services, Inc(Amazon.com, Inc.)
Salesforce, Inc
Yseop
Baidu, Inc
Oracle Corporation
SAP SE
Conversica, Inc
제11장 대화형 시스템 시장을 위한 성공 필수 조건
LSH
영문 목차
영문목차
The Global Conversational Systems Market size is expected to reach $68.50 billion by 2031, rising at a market growth of 26.6% CAGR during the forecast period.
The North America segment witnessed 38% revenue share in the market in 2023. The North America segment is driven by the region's advanced technological ecosystem and the early adoption of conversational AI across various industries. With a strong presence of leading market players and significant investment in research and development, North America has become a hub for innovation in conversational systems.
The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2024, Amazon Web Services, Inc. unveiled a generative AI-powered feature in CloudTrail Lake (preview) that allows users to analyze AWS activity events using plain English queries, eliminating the need to write complex SQL. This simplifies event data analysis, enhancing security, compliance, and operational investigations for non-experts. Moreover, In August, 2024, Conversica, Inc. unveiled an upgrade to its AI-powered Conversational AI platform, offering marketers enhanced control with flexible, customized messaging options. This allows secure, generative AI-driven email and SMS conversations. This new approach gives marketers control over brand-specific messaging, ensuring authenticity and tailored communication.
KBV Cardinal Matrix - Conversational Systems Market Competition Analysis
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Conversational Systems Market. In June, 2024, Google LLC unveiled the Gemini chatbot app in India, supporting English and nine Indian languages: Hindi, Bengali, Gujarati, Kannada, Malayalam, Marathi, Tamil, Telugu, and Urdu. Android users can download it via the Google Play Store or Google Assistant, and iOS access will soon be available. Companies such as Amazon Web Services, Inc., Oracle Corporation, and IBM Corporation are some of the key innovators in Conversational Systems Market.
Market Growth Factors
The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly transformed the capabilities of these systems. Modern AI algorithms enable these systems to process and interpret complex user inputs with high precision, making their responses more context-aware and human-like. Technologies such as natural language processing (NLP) and natural language understanding (NLU) empower these systems to grasp nuances in language, such as tone, intent, and sentiment, which were previously challenging to decode. Hence, these factors will aid in the growth of the market.
Additionally, Businesses are altering their interactions with consumers in response to the increasing demand for improved customer experiences. Organizations prioritize engagement and personalization in today's competitive environment to build loyalty and improve satisfaction. Modern customers expect tailored interactions acknowledging their unique needs, making personalized communication a vital business strategy. Thus, these factors will drive the market's growth.
Market Restraining Factors
However, these systems often handle sensitive user information, such as personal details, financial data, or healthcare records, which makes robust privacy measures crucial. However, vulnerabilities in data storage, transmission, and processing create apprehension among users. Without confidence in the ability of these systems to safeguard their information, users may hesitate to share the data needed for the systems to function effectively. Hence, these factors may hamper the growth of the market.
Component Outlook
Based on component, the market is classified into compute platforms, solutions, and services. The solutions segment procured 31% revenue share in the market in 2023. The solutions segment is propelled by the rising adoption of conversational AI applications such as chatbots, virtual assistants, and voice-enabled interfaces across industries. Businesses increasingly rely on these solutions to enhance customer engagement, automate support services, and streamline operations.
Application Outlook
On the basis of application, the market is divided into customer support & personal assistance, branding & advertisement, data privacy & compliance, and others. The branding & advertisement segment recorded 30% revenue share in the market in 2023. Marketing campaigns increasingly use these systems to create interactive, engaging customer experiences. Brands employ chatbots and voice assistants to deliver personalized recommendations, answer product-related questions, and guide users through purchasing.
Type Outlook
By type, the market is segmented into text assistant, voice assistant, and others. The voice assistant segment garnered 28% revenue share in the market in 2023. These assistants are increasingly used in smart home devices, automotive systems, and mobile applications, providing users with hands-free convenience and seamless interaction. The advancements in natural language processing (NLP) and voice recognition technologies have significantly improved the accuracy and functionality of voice assistants, boosting their adoption.
End User Outlook
Based on end user, the market is classified into telecom, BFSI, retail & ecommerce, media & entertainment, healthcare & life sciences, travel & hospitality, and others. The BFSI segment acquired 23% revenue share in the market in 2023. These systems in BFSI are widely used for automating routine banking tasks, providing real-time financial advice, and assisting with fraud detection and prevention. Chatbots and virtual assistants offer seamless interactions for customers seeking account information, loan details, or investment options while ensuring data security and compliance with regulatory standards.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment garnered 30% revenue share in the market in 2023. The Europe segment benefits from the region's emphasis on data privacy, regulatory compliance, and multilingual capabilities in these systems. The implementation of stringent regulations like GDPR has driven the development of secure and reliable conversational AI solutions, building consumer trust. The demand for multilingual conversational systems tailored to Europe's diverse linguistic and cultural landscape further enhances adoption.
Market Competition and Attributes
The competition in the Conversational Systems Market is driven by a diverse range of emerging startups and specialized companies. These players focus on niche innovations, providing customized solutions for various industries. While they lack the extensive resources of market leaders, their agility, creativity, and specialized offerings create a dynamic and fragmented competitive landscape.
Recent Strategies Deployed in the Market
Oct-2024: IBM Corporation teamed up with SAP SE to integrate IBM's Granite 13b.chat large language model with SAP's Business Technology Platform. This collaboration enables SAP users to leverage AI for tasks like Q&A, summarization, and classification, optimizing business processes in finance, supply chain, and CRM with transparent, efficient, and customizable AI models.
Jul-2024: Salesforce, Inc. announced the partnership with Workday, Inc., a leading provider of solutions to help organizations manage their people and money to unveil an AI employee service agent to automate tasks, deliver personalized support, and provide data-driven insights. Integrating Salesforce's Agentforce Platform and Einstein AI with Workday's solutions will help organizations develop agents for various employee service scenarios, enhancing efficiency and driving success.
Jun-2024: Amazon Web Services, Inc. CloudWatch unveiled natural language query generation for Logs Insights and Metrics Insights, powered by generative AI. This feature enables users to generate queries using plain English, simplifying extracting insights from logs and metrics. It also offers query refinement, time adjustments, and code explanations.
Apr-2024: Salesforce, Inc. unveiled MuleSoft's automation, integration, and API management solutions with AI features to boost productivity and streamline workflows. MuleSoft's Intelligent Document Processing (IDP) extracts data from various documents and integrates it with Salesforce Flow for seamless automation. Einstein AI is embedded in MuleSoft's tools, enabling natural language prompts for building integrations and automation.
Jan-2024: Amazon Web Services, Inc. announced the partnership with Siemens AG, a German multinational technology conglomerate company to simplify the creation and scaling of generative AI applications across industries. Siemens is integrating AWS's Amazon Bedrock with its Mendix low-code platform, enabling domain experts in sectors like engineering, logistics, and finance to develop advanced AI-driven solutions securely and efficiently.
List of Key Companies Profiled
IBM Corporation
Microsoft Corporation
Google LLC (Alphabet Inc.)
Amazon Web Services, Inc. (Amazon.com, Inc.)
Salesforce, Inc.
Yseop
Baidu, Inc.
Oracle Corporation
SAP SE
Conversica, Inc.
Global Conversational Systems Market Report Segmentation
By Component
Compute Platforms
Solutions
Services
By Application
Customer Support & Personal Assistance
Branding & Advertisement
Data Privacy & Compliance
Other Applications
By Type
Text Assistant
Voice Assistant
Other Types
By End User
Telecom
BFSI
Retail & Ecommerce
Media & Entertainment
Healthcare & Life sciences
Travel & Hospitality
Other End User
By Geography
North America
US
Canada
Mexico
Rest of North America
Europe
Germany
UK
France
Russia
Spain
Italy
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Singapore
Malaysia
Rest of Asia Pacific
LAMEA
Brazil
Argentina
UAE
Saudi Arabia
South Africa
Nigeria
Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Conversational Systems Market, by Component
1.4.2 Global Conversational Systems Market, by Application
1.4.3 Global Conversational Systems Market, by Type
1.4.4 Global Conversational Systems Market, by End User
1.4.5 Global Conversational Systems Market, by Geography
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2023, Feb - 2024, Aug) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Global Conversational Systems Market by Component
5.1 Global Compute Platforms Market by Region
5.2 Global Solutions Market by Region
5.3 Global Services Market by Region
Chapter 6. Global Conversational Systems Market by Application
6.1 Global Customer Support & Personal Assistance Market by Region
6.2 Global Branding & Advertisement Market by Region
6.3 Global Data Privacy & Compliance Market by Region
6.4 Global Other Applications Market by Region
Chapter 7. Global Conversational Systems Market by Type
7.1 Global Text Assistant Market by Region
7.2 Global Voice Assistant Market by Region
7.3 Global Other Types Market by Region
Chapter 8. Global Conversational Systems Market by End User
8.1 Global Telecom Market by Region
8.2 Global BFSI Market by Region
8.3 Global Retail & Ecommerce Market by Region
8.4 Global Media & Entertainment Market by Region
8.5 Global Healthcare & Life sciences Market by Region
8.6 Global Travel & Hospitality Market by Region
8.7 Global Other End User Market by Region
Chapter 9. Global Conversational Systems Market by Region
9.1 North America Conversational Systems Market
9.1.1 North America Conversational Systems Market by Component
9.1.1.1 North America Compute Platforms Market by Country
9.1.1.2 North America Solutions Market by Country
9.1.1.3 North America Services Market by Country
9.1.2 North America Conversational Systems Market by Application
9.1.2.1 North America Customer Support & Personal Assistance Market by Country
9.1.2.2 North America Branding & Advertisement Market by Country
9.1.2.3 North America Data Privacy & Compliance Market by Country
9.1.2.4 North America Other Applications Market by Country
9.1.3 North America Conversational Systems Market by Type
9.1.3.1 North America Text Assistant Market by Country
9.1.3.2 North America Voice Assistant Market by Country
9.1.3.3 North America Other Types Market by Country
9.1.4 North America Conversational Systems Market by End User
9.1.4.1 North America Telecom Market by Country
9.1.4.2 North America BFSI Market by Country
9.1.4.3 North America Retail & Ecommerce Market by Country
9.1.4.4 North America Media & Entertainment Market by Country
9.1.4.5 North America Healthcare & Life sciences Market by Country
9.1.4.6 North America Travel & Hospitality Market by Country
9.1.4.7 North America Other End User Market by Country
9.1.5 North America Conversational Systems Market by Country
9.1.5.1 US Conversational Systems Market
9.1.5.1.1 US Conversational Systems Market by Component
9.1.5.1.2 US Conversational Systems Market by Application
9.1.5.1.3 US Conversational Systems Market by Type
9.1.5.1.4 US Conversational Systems Market by End User
9.1.5.2 Canada Conversational Systems Market
9.1.5.2.1 Canada Conversational Systems Market by Component
9.1.5.2.2 Canada Conversational Systems Market by Application
9.1.5.2.3 Canada Conversational Systems Market by Type
9.1.5.2.4 Canada Conversational Systems Market by End User
9.1.5.3 Mexico Conversational Systems Market
9.1.5.3.1 Mexico Conversational Systems Market by Component
9.1.5.3.2 Mexico Conversational Systems Market by Application
9.1.5.3.3 Mexico Conversational Systems Market by Type
9.1.5.3.4 Mexico Conversational Systems Market by End User
9.1.5.4 Rest of North America Conversational Systems Market
9.1.5.4.1 Rest of North America Conversational Systems Market by Component
9.1.5.4.2 Rest of North America Conversational Systems Market by Application
9.1.5.4.3 Rest of North America Conversational Systems Market by Type
9.1.5.4.4 Rest of North America Conversational Systems Market by End User
9.2 Europe Conversational Systems Market
9.2.1 Europe Conversational Systems Market by Component
9.2.1.1 Europe Compute Platforms Market by Country
9.2.1.2 Europe Solutions Market by Country
9.2.1.3 Europe Services Market by Country
9.2.2 Europe Conversational Systems Market by Application
9.2.2.1 Europe Customer Support & Personal Assistance Market by Country
9.2.2.2 Europe Branding & Advertisement Market by Country
9.2.2.3 Europe Data Privacy & Compliance Market by Country
9.2.2.4 Europe Other Applications Market by Country
9.2.3 Europe Conversational Systems Market by Type
9.2.3.1 Europe Text Assistant Market by Country
9.2.3.2 Europe Voice Assistant Market by Country
9.2.3.3 Europe Other Types Market by Country
9.2.4 Europe Conversational Systems Market by End User
9.2.4.1 Europe Telecom Market by Country
9.2.4.2 Europe BFSI Market by Country
9.2.4.3 Europe Retail & Ecommerce Market by Country
9.2.4.4 Europe Media & Entertainment Market by Country
9.2.4.5 Europe Healthcare & Life sciences Market by Country
9.2.4.6 Europe Travel & Hospitality Market by Country
9.2.4.7 Europe Other End User Market by Country
9.2.5 Europe Conversational Systems Market by Country
9.2.5.1 Germany Conversational Systems Market
9.2.5.1.1 Germany Conversational Systems Market by Component
9.2.5.1.2 Germany Conversational Systems Market by Application
9.2.5.1.3 Germany Conversational Systems Market by Type
9.2.5.1.4 Germany Conversational Systems Market by End User
9.2.5.2 UK Conversational Systems Market
9.2.5.2.1 UK Conversational Systems Market by Component
9.2.5.2.2 UK Conversational Systems Market by Application
9.2.5.2.3 UK Conversational Systems Market by Type
9.2.5.2.4 UK Conversational Systems Market by End User
9.2.5.3 France Conversational Systems Market
9.2.5.3.1 France Conversational Systems Market by Component
9.2.5.3.2 France Conversational Systems Market by Application
9.2.5.3.3 France Conversational Systems Market by Type
9.2.5.3.4 France Conversational Systems Market by End User
9.2.5.4 Russia Conversational Systems Market
9.2.5.4.1 Russia Conversational Systems Market by Component
9.2.5.4.2 Russia Conversational Systems Market by Application
9.2.5.4.3 Russia Conversational Systems Market by Type
9.2.5.4.4 Russia Conversational Systems Market by End User
9.2.5.5 Spain Conversational Systems Market
9.2.5.5.1 Spain Conversational Systems Market by Component
9.2.5.5.2 Spain Conversational Systems Market by Application
9.2.5.5.3 Spain Conversational Systems Market by Type
9.2.5.5.4 Spain Conversational Systems Market by End User
9.2.5.6 Italy Conversational Systems Market
9.2.5.6.1 Italy Conversational Systems Market by Component
9.2.5.6.2 Italy Conversational Systems Market by Application
9.2.5.6.3 Italy Conversational Systems Market by Type
9.2.5.6.4 Italy Conversational Systems Market by End User
9.2.5.7 Rest of Europe Conversational Systems Market
9.2.5.7.1 Rest of Europe Conversational Systems Market by Component
9.2.5.7.2 Rest of Europe Conversational Systems Market by Application
9.2.5.7.3 Rest of Europe Conversational Systems Market by Type
9.2.5.7.4 Rest of Europe Conversational Systems Market by End User
9.3 Asia Pacific Conversational Systems Market
9.3.1 Asia Pacific Conversational Systems Market by Component
9.3.1.1 Asia Pacific Compute Platforms Market by Country
9.3.1.2 Asia Pacific Solutions Market by Country
9.3.1.3 Asia Pacific Services Market by Country
9.3.2 Asia Pacific Conversational Systems Market by Application
9.3.2.1 Asia Pacific Customer Support & Personal Assistance Market by Country
9.3.2.2 Asia Pacific Branding & Advertisement Market by Country
9.3.2.3 Asia Pacific Data Privacy & Compliance Market by Country
9.3.2.4 Asia Pacific Other Applications Market by Country
9.3.3 Asia Pacific Conversational Systems Market by Type
9.3.3.1 Asia Pacific Text Assistant Market by Country
9.3.3.2 Asia Pacific Voice Assistant Market by Country
9.3.3.3 Asia Pacific Other Types Market by Country
9.3.4 Asia Pacific Conversational Systems Market by End User
9.3.4.1 Asia Pacific Telecom Market by Country
9.3.4.2 Asia Pacific BFSI Market by Country
9.3.4.3 Asia Pacific Retail & Ecommerce Market by Country
9.3.4.4 Asia Pacific Media & Entertainment Market by Country
9.3.4.5 Asia Pacific Healthcare & Life sciences Market by Country
9.3.4.6 Asia Pacific Travel & Hospitality Market by Country
9.3.4.7 Asia Pacific Other End User Market by Country
9.3.5 Asia Pacific Conversational Systems Market by Country
9.3.5.1 China Conversational Systems Market
9.3.5.1.1 China Conversational Systems Market by Component
9.3.5.1.2 China Conversational Systems Market by Application
9.3.5.1.3 China Conversational Systems Market by Type
9.3.5.1.4 China Conversational Systems Market by End User
9.3.5.2 Japan Conversational Systems Market
9.3.5.2.1 Japan Conversational Systems Market by Component
9.3.5.2.2 Japan Conversational Systems Market by Application
9.3.5.2.3 Japan Conversational Systems Market by Type
9.3.5.2.4 Japan Conversational Systems Market by End User
9.3.5.3 India Conversational Systems Market
9.3.5.3.1 India Conversational Systems Market by Component
9.3.5.3.2 India Conversational Systems Market by Application
9.3.5.3.3 India Conversational Systems Market by Type
9.3.5.3.4 India Conversational Systems Market by End User
9.3.5.4 South Korea Conversational Systems Market
9.3.5.4.1 South Korea Conversational Systems Market by Component
9.3.5.4.2 South Korea Conversational Systems Market by Application
9.3.5.4.3 South Korea Conversational Systems Market by Type
9.3.5.4.4 South Korea Conversational Systems Market by End User
9.3.5.5 Singapore Conversational Systems Market
9.3.5.5.1 Singapore Conversational Systems Market by Component
9.3.5.5.2 Singapore Conversational Systems Market by Application
9.3.5.5.3 Singapore Conversational Systems Market by Type
9.3.5.5.4 Singapore Conversational Systems Market by End User
9.3.5.6 Malaysia Conversational Systems Market
9.3.5.6.1 Malaysia Conversational Systems Market by Component
9.3.5.6.2 Malaysia Conversational Systems Market by Application
9.3.5.6.3 Malaysia Conversational Systems Market by Type
9.3.5.6.4 Malaysia Conversational Systems Market by End User
9.3.5.7 Rest of Asia Pacific Conversational Systems Market
9.3.5.7.1 Rest of Asia Pacific Conversational Systems Market by Component
9.3.5.7.2 Rest of Asia Pacific Conversational Systems Market by Application
9.3.5.7.3 Rest of Asia Pacific Conversational Systems Market by Type
9.3.5.7.4 Rest of Asia Pacific Conversational Systems Market by End User
9.4 LAMEA Conversational Systems Market
9.4.1 LAMEA Conversational Systems Market by Component
9.4.1.1 LAMEA Compute Platforms Market by Country
9.4.1.2 LAMEA Solutions Market by Country
9.4.1.3 LAMEA Services Market by Country
9.4.2 LAMEA Conversational Systems Market by Application
9.4.2.1 LAMEA Customer Support & Personal Assistance Market by Country
9.4.2.2 LAMEA Branding & Advertisement Market by Country
9.4.2.3 LAMEA Data Privacy & Compliance Market by Country
9.4.2.4 LAMEA Other Applications Market by Country
9.4.3 LAMEA Conversational Systems Market by Type
9.4.3.1 LAMEA Text Assistant Market by Country
9.4.3.2 LAMEA Voice Assistant Market by Country
9.4.3.3 LAMEA Other Types Market by Country
9.4.4 LAMEA Conversational Systems Market by End User
9.4.4.1 LAMEA Telecom Market by Country
9.4.4.2 LAMEA BFSI Market by Country
9.4.4.3 LAMEA Retail & Ecommerce Market by Country
9.4.4.4 LAMEA Media & Entertainment Market by Country
9.4.4.5 LAMEA Healthcare & Life sciences Market by Country
9.4.4.6 LAMEA Travel & Hospitality Market by Country
9.4.4.7 LAMEA Other End User Market by Country
9.4.5 LAMEA Conversational Systems Market by Country
9.4.5.1 Brazil Conversational Systems Market
9.4.5.1.1 Brazil Conversational Systems Market by Component
9.4.5.1.2 Brazil Conversational Systems Market by Application
9.4.5.1.3 Brazil Conversational Systems Market by Type
9.4.5.1.4 Brazil Conversational Systems Market by End User
9.4.5.2 Argentina Conversational Systems Market
9.4.5.2.1 Argentina Conversational Systems Market by Component
9.4.5.2.2 Argentina Conversational Systems Market by Application
9.4.5.2.3 Argentina Conversational Systems Market by Type
9.4.5.2.4 Argentina Conversational Systems Market by End User
9.4.5.3 UAE Conversational Systems Market
9.4.5.3.1 UAE Conversational Systems Market by Component
9.4.5.3.2 UAE Conversational Systems Market by Application
9.4.5.3.3 UAE Conversational Systems Market by Type
9.4.5.3.4 UAE Conversational Systems Market by End User
9.4.5.4 Saudi Arabia Conversational Systems Market
9.4.5.4.1 Saudi Arabia Conversational Systems Market by Component
9.4.5.4.2 Saudi Arabia Conversational Systems Market by Application
9.4.5.4.3 Saudi Arabia Conversational Systems Market by Type
9.4.5.4.4 Saudi Arabia Conversational Systems Market by End User
9.4.5.5 South Africa Conversational Systems Market
9.4.5.5.1 South Africa Conversational Systems Market by Component
9.4.5.5.2 South Africa Conversational Systems Market by Application
9.4.5.5.3 South Africa Conversational Systems Market by Type
9.4.5.5.4 South Africa Conversational Systems Market by End User
9.4.5.6 Nigeria Conversational Systems Market
9.4.5.6.1 Nigeria Conversational Systems Market by Component
9.4.5.6.2 Nigeria Conversational Systems Market by Application
9.4.5.6.3 Nigeria Conversational Systems Market by Type
9.4.5.6.4 Nigeria Conversational Systems Market by End User
9.4.5.7 Rest of LAMEA Conversational Systems Market
9.4.5.7.1 Rest of LAMEA Conversational Systems Market by Component
9.4.5.7.2 Rest of LAMEA Conversational Systems Market by Application
9.4.5.7.3 Rest of LAMEA Conversational Systems Market by Type
9.4.5.7.4 Rest of LAMEA Conversational Systems Market by End User
Chapter 10. Company Profiles
10.1 IBM Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Regional & Segmental Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Product Launches and Product Expansions:
10.1.6 SWOT Analysis
10.2 Microsoft Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.6 SWOT Analysis
10.3 Google LLC (Alphabet Inc.)
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expense
10.3.5 Recent strategies and developments:
10.3.5.1 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 Amazon Web Services, Inc. (Amazon.com, Inc.)
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental Analysis
10.4.4 Recent strategies and developments:
10.4.4.1 Partnerships, Collaborations, and Agreements:
10.4.4.2 Product Launches and Product Expansions:
10.4.5 SWOT Analysis
10.5 Salesforce, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Regional Analysis
10.5.4 Research & Development Expenses
10.5.5 Recent strategies and developments:
10.5.5.1 Partnerships, Collaborations, and Agreements:
10.5.5.2 Product Launches and Product Expansions:
10.5.6 SWOT Analysis
10.6 Yseop
10.6.1 Company Overview
10.6.2 Recent strategies and developments:
10.6.2.1 Product Launches and Product Expansions:
10.6.3 SWOT Analysis
10.7 Baidu, Inc.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental Analysis
10.7.4 Research & Development Expenses
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.7.6 SWOT Analysis
10.8 Oracle Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expense
10.8.5 SWOT Analysis
10.9 SAP SE
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Regional Analysis
10.9.4 Research & Development Expense
10.9.5 SWOT Analysis
10.10. Conversica, Inc.
10.10.1 Company Overview
10.10.2 Recent strategies and developments:
10.10.2.1 Product Launches and Product Expansions:
Chapter 11. Winning Imperatives of Conversational Systems Market