Japan Conversational AI Market Report by Component, Type (Intelligent Virtual Assistant, Chatbots), Technology, Deployment, Organization Size, End User, and Region 2025-2033
일본의 대화형 AI 시장 규모는 2024년 7억 2,700만 달러로 추정됩니다. 향후 IMARC 그룹은 이 시장이 2033년까지 30억 9,200만 달러에 달하고, 2025년부터 2033년까지 17.5%의 연평균 성장률(CAGR)을 나타낼 것으로 예측했습니다. 효율적이고 개인화된 지원을 제공하고 전반적인 고객 경험을 개선하기 위해 기업들이 가상 비서 및 챗봇을 도입하는 사례가 증가하면서 시장 성장을 주도하고 있습니다.
본 보고서에서 답변을 얻을 수 있는 주요 질문
- 일본 대화형 AI 시장은 지금까지 어떻게 발전해왔고, 앞으로 어떻게 발전할 것인가?
- 코로나19가 일본 대화형 AI 시장에 미친 영향은?
- 일본 대화형 AI 시장의 구성요소별 분석은?
- 일본 대화형 AI 시장의 유형별 구성비는?
- 일본 대화형 AI 시장의 기술별 분석은?
- 일본 대화형 AI 시장 전개 현황은?
- 일본 대화형 AI 시장의 조직 규모별 현황은?
- 일본 대화형 AI 시장의 최종 사용자별 분석은?
- 일본 대화형 AI 시장의 가치사슬에는 어떤 단계가 있는가?
- 일본 대화형 AI의 주요 촉진요인과 과제는?
- 일본 대화형 AI 시장 구조와 주요 기업은?
- 일본 대화형 AI 시장에서의 경쟁은 어느 정도인가?
목차
제1장 서문
제2장 조사 범위와 조사 방법
- 조사 목적
- 이해관계자
- 데이터 소스
- 시장 추정
- 조사 방법
제3장 주요 요약
제4장 일본의 대화형 AI 시장 : 서론
제5장 일본의 대화형 AI 시장 구도
- 과거 및 현재 시장 동향(2019-2024년)
- 시장 예측(2025-2033년)
제6장 일본의 대화형 AI 시장 : 컴포넌트별 분석
제7장 일본의 대화형 AI 시장 : 유형별 분석
제8장 일본의 대화형 AI 시장 : 기술별 분석
제9장 일본의 대화형 AI 시장 : 전개 형태별 분석
제10장 일본의 대화형 AI 시장 : 조직 규모별 분석
제11장 일본의 대화형 AI 시장 : 최종사용자별 분석
- 은행/금융서비스/보험(BFSI)
- 소매업 및 E-Commerce
- 헬스케어 및 생명과학
- 여행 및 호스피탈리티
- 통신
- 미디어 및 엔터테인먼트
- 기타
제12장 일본의 대화형 AI 시장 : 경쟁 구도
- 개요
- 시장 구조
- 시장 기업 포지셔닝
- 주요 성공 전략
- 경쟁 대시보드
- 기업 평가 상한
제13장 주요 기업 개요
제14장 일본의 대화형 AI 시장 : 업계 분석
- 성장 촉진요인 및 억제요인과 기회
- Porter의 Five Forces 분석
- 밸류체인 분석
제15장 부록
LSH
Japan conversational AI market size reached USD 727 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 3,092 Million by 2033, exhibiting a growth rate (CAGR) of 17.5% during 2025-2033. The increasing adoption of virtual assistants and chatbots by companies to provide efficient and personalized support and improve overall customer experiences is primarily driving the market growth.
Conversational AI is a transformative technology that enables machines, typically computer programs or chatbots, to engage in human-like conversations with users. It leverages natural language processing (NLP) and machine learning algorithms to understand and generate human language, allowing for more intuitive and human-friendly interactions between humans and machines. Conversational AI finds applications across various domains, including customer service, virtual assistants, healthcare, and education. It enables automated responses to user queries, facilitates information retrieval, and can even execute tasks based on user instructions. By continuously improving its understanding of context and user preferences, conversational AI systems strive to provide increasingly personalized and efficient interactions, making it a powerful tool for enhancing user experiences and streamlining processes in both commercial and everyday contexts.
Japan Conversational AI Market Trends:
The Japan conversational AI market is a rapidly evolving and promising sector within the country's technology landscape. Renowned for its innovation and technological prowess, Japan has been actively adopting and advancing conversational AI solutions across various industries. One key driver of this growth is the country's strong focus on improving customer service and user experiences. Japanese companies, from e-commerce to customer support centers, are increasingly integrating conversational AI chatbots and virtual assistants to streamline interactions and enhance efficiency. Furthermore, as Japan faces an aging population, conversational AI is also being explored as a solution to address healthcare and elderly care needs. The market's expansion is further fueled by collaborative efforts between industry players, research institutions, and government initiatives that promote AI development. As conversational AI technology continues to mature, the Japan market is well-positioned to play a pivotal role in shaping the future of human-machine interactions, offering innovative solutions for businesses and addressing societal challenges.
Japan Conversational AI Market Segmentation:
Component Insights:
- Platform
- Services
- Support and Maintenance
- Training and Consulting
- System Integration
Type Insights:
- Intelligent Virtual Assistant (IVA)
- Chatbots
Technology Insights:
- Machine Learning
- Deep Learning
- Natural Language Processing
- Automatic Speech Recognition
Deployment Insights:
Organization Size Insights:
- Large Enterprises
- Small and Medium-sized Enterprises
End User Insights:
- BFSI
- Retail and E-commerce
- Healthcare and Life Science
- Travel and Hospitality
- Telecom
- Media and Entertainment
- Others
Competitive Landscape:
The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.
Key Questions Answered in This Report:
- How has the Japan conversational AI market performed so far and how will it perform in the coming years?
- What has been the impact of COVID-19 on the Japan conversational AI market?
- What is the breakup of the Japan conversational AI market on the basis of component?
- What is the breakup of the Japan conversational AI market on the basis of type?
- What is the breakup of the Japan conversational AI market on the basis of technology?
- What is the breakup of the Japan conversational AI market on the basis of deployment?
- What is the breakup of the Japan conversational AI market on the basis of organization size?
- What is the breakup of the Japan conversational AI market on the basis of end user?
- What are the various stages in the value chain of the Japan conversational AI market?
- What are the key driving factors and challenges in the Japan conversational AI?
- What is the structure of the Japan conversational AI market and who are the key players?
- What is the degree of competition in the Japan conversational AI market?
Table of Contents
1 Preface
2 Scope and Methodology
- 2.1 Objectives of the Study
- 2.2 Stakeholders
- 2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
- 2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
- 2.5 Forecasting Methodology
3 Executive Summary
4 Japan Conversational AI Market - Introduction
- 4.1 Overview
- 4.2 Market Dynamics
- 4.3 Industry Trends
- 4.4 Competitive Intelligence
5 Japan Conversational AI Market Landscape
- 5.1 Historical and Current Market Trends (2019-2024)
- 5.2 Market Forecast (2025-2033)
6 Japan Conversational AI Market - Breakup by Component
- 6.1 Platform
- 6.1.1 Overview
- 6.1.2 Historical and Current Market Trends (2019-2024)
- 6.1.3 Market Forecast (2025-2033)
- 6.2 Services
- 6.2.1 Overview
- 6.2.2 Historical and Current Market Trends (2019-2024)
- 6.2.3 Market Segmentation
- 6.2.3.1 Support and Maintenance
- 6.2.3.2 Training and Consulting
- 6.2.3.3 System Integration
- 6.2.4 Market Forecast (2025-2033)
7 Japan Conversational AI Market - Breakup by Type
- 7.1 Intelligent Virtual Assistant (IVA)
- 7.1.1 Overview
- 7.1.2 Historical and Current Market Trends (2019-2024)
- 7.1.3 Market Forecast (2025-2033)
- 7.2 Chatbots
- 7.2.1 Overview
- 7.2.2 Historical and Current Market Trends (2019-2024)
- 7.2.3 Market Forecast (2025-2033)
8 Japan Conversational AI Market - Breakup by Technology
- 8.1 Machine Learning
- 8.1.1 Overview
- 8.1.2 Historical and Current Market Trends (2019-2024)
- 8.1.3 Market Forecast (2025-2033)
- 8.2 Deep Learning
- 8.2.1 Overview
- 8.2.2 Historical and Current Market Trends (2019-2024)
- 8.2.3 Market Forecast (2025-2033)
- 8.3 Natural Language Processing
- 8.3.1 Overview
- 8.3.2 Historical and Current Market Trends (2019-2024)
- 8.3.3 Market Forecast (2025-2033)
- 8.4 Automatic Speech Recognition
- 8.4.1 Overview
- 8.4.2 Historical and Current Market Trends (2019-2024)
- 8.4.3 Market Forecast (2025-2033)
9 Japan Conversational AI Market - Breakup by Deployment
- 9.1 Cloud-based
- 9.1.1 Overview
- 9.1.2 Historical and Current Market Trends (2019-2024)
- 9.1.3 Market Forecast (2025-2033)
- 9.2 On-premises
- 9.2.1 Overview
- 9.2.2 Historical and Current Market Trends (2019-2024)
- 9.2.3 Market Forecast (2025-2033)
10 Japan Conversational AI Market - Breakup by Organization Size
- 10.1 Large Enterprises
- 10.1.1 Overview
- 10.1.2 Historical and Current Market Trends (2019-2024)
- 10.1.3 Market Forecast (2025-2033)
- 10.2 Small and Medium-sized Enterprises
- 10.2.1 Overview
- 10.2.2 Historical and Current Market Trends (2019-2024)
- 10.2.3 Market Forecast (2025-2033)
11 Japan Conversational AI Market - Breakup by End User
- 11.1 BFSI
- 11.1.1 Overview
- 11.1.2 Historical and Current Market Trends (2019-2024)
- 11.1.3 Market Forecast (2025-2033)
- 11.2 Retail and E-commerce
- 11.2.1 Overview
- 11.2.2 Historical and Current Market Trends (2019-2024)
- 11.2.3 Market Forecast (2025-2033)
- 11.3 Healthcare and Life Science
- 11.3.1 Overview
- 11.3.2 Historical and Current Market Trends (2019-2024)
- 11.3.3 Market Forecast (2025-2033)
- 11.4 Travel and Hospitality
- 11.4.1 Overview
- 11.4.2 Historical and Current Market Trends (2019-2024)
- 11.4.3 Market Forecast (2025-2033)
- 11.5 Telecom
- 11.5.1 Overview
- 11.5.2 Historical and Current Market Trends (2019-2024)
- 11.5.3 Market Forecast (2025-2033)
- 11.6 Media and Entertainment
- 11.6.1 Overview
- 11.6.2 Historical and Current Market Trends (2019-2024)
- 11.6.3 Market Forecast (2025-2033)
- 11.7 Others
- 11.7.1 Historical and Current Market Trends (2019-2024)
- 11.7.2 Market Forecast (2025-2033)
12 Japan Conversational AI Market - Competitive Landscape
- 12.1 Overview
- 12.2 Market Structure
- 12.3 Market Player Positioning
- 12.4 Top Winning Strategies
- 12.5 Competitive Dashboard
- 12.6 Company Evaluation Quadrant
13 Profiles of Key Players
- 13.1 Company A
- 13.1.1 Business Overview
- 13.1.2 Product Portfolio
- 13.1.3 Business Strategies
- 13.1.4 SWOT Analysis
- 13.1.5 Major News and Events
- 13.2 Company B
- 13.2.1 Business Overview
- 13.2.2 Product Portfolio
- 13.2.3 Business Strategies
- 13.2.4 SWOT Analysis
- 13.2.5 Major News and Events
- 13.3 Company C
- 13.3.1 Business Overview
- 13.3.2 Product Portfolio
- 13.3.3 Business Strategies
- 13.3.4 SWOT Analysis
- 13.3.5 Major News and Events
- 13.4 Company D
- 13.4.1 Business Overview
- 13.4.2 Product Portfolio
- 13.4.3 Business Strategies
- 13.4.4 SWOT Analysis
- 13.4.5 Major News and Events
- 13.5 Company E
- 13.5.1 Business Overview
- 13.5.2 Product Portfolio
- 13.5.3 Business Strategies
- 13.5.4 SWOT Analysis
- 13.5.5 Major News and Events
14 Japan Conversational AI Market - Industry Analysis
- 14.1 Drivers, Restraints, and Opportunities
- 14.1.1 Overview
- 14.1.2 Drivers
- 14.1.3 Restraints
- 14.1.4 Opportunities
- 14.2 Porters Five Forces Analysis
- 14.2.1 Overview
- 14.2.2 Bargaining Power of Buyers
- 14.2.3 Bargaining Power of Suppliers
- 14.2.4 Degree of Competition
- 14.2.5 Threat of New Entrants
- 14.2.6 Threat of Substitutes
- 14.3 Value Chain Analysis
15 Appendix
