日本のチャットボット市場レポート：タイプ、製品、用途、組織規模、業界別、地域別、2025年～2033年

日本のチャットボットの市場規模は2024年に4億1,400万米ドルに達しました。今後、IMARC Groupは、2033年には20億4,060万米ドルに達し、2025年から2033年にかけて19.4％の成長率（CAGR）を示すと予測しています。AI研究開発の推進と資金調達の拡大、顧客サービスにおけるチャットボットの広範な統合、デジタルプラットフォームへの移行を企業に促すCOVID-19の流行などが、市場を牽引する主な要因となっています。

本レポートで扱う主な質問

• 日本のチャットボット市場はこれまでどのように推移し、今後どのように推移するのか？
• COVID-19が日本のチャットボット市場に与えた影響は？
• 日本のチャットボット市場のタイプ別区分は？
• 日本のチャットボット市場の製品別区分は？
• 日本のチャットボット市場の用途別区分は？
• 日本のチャットボット市場の組織規模別区分は？
• 日本のチャットボット市場の業界別区分は？
• 日本のチャットボット市場のバリューチェーンにおける様々なステージとは？
• 日本のチャットボットの主な促進要因と課題は何か？
• 日本のチャットボット市場の構造と主要プレーヤーは？
• 日本のチャットボット市場における競合の程度は？

目次

第1章 序文

第2章 調査範囲と調査手法

• 調査の目的
• ステークホルダー
• データソース
• 市場推定
• 調査手法

第3章 エグゼクティブサマリー

第4章 日本のチャットボット市場- イントロダクション

• 概要
• 市場力学
• 業界動向
• 競合情報

第5章 日本のチャットボット市場情勢

• 過去および現在の市場動向（2019～2024年）
• 市場予測（2025～2033年）

第6章 日本のチャットボット市場- タイプ別の内訳

• スタンドアロン
• ウェブベース
• メッセンジャーベース/サードパーティ

第7章 日本のチャットボット市場- 製品別の内訳

• 人工知能
• マーケティング
• 人間の知能

第8章 日本のチャットボット市場- 用途別の内訳

• サービス用ボット
• ソーシャルメディア用ボット
• 支払い/注文処理用ボット
• マーケティング用ボット
• その他

第9章 日本のチャットボット市場- 組織規模別の内訳

• 小規模企業
• 中規模企業
• 大企業

第10章 日本のチャットボット市場- 業界別の内訳

• ヘルスケア
• 小売り
• 銀行、金融サービス、保険
• メディアとエンターテイメント
• 旅行と観光
• eコマース
• その他

第11章 日本のチャットボット市場- 競合情勢

• 概要
• 市場構造
• 市場企業のポジショニング
• 主要成功戦略
• 競合ダッシュボード
• 企業評価象限

第12章 主要企業のプロファイル

第13章 日本のチャットボット市場- 業界分析

• 促進要因、抑制要因、機会
• ポーターのファイブフォース分析
• バリューチェーン分析

第14章 付録

The Japan chatbot market size reached USD 414.0 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 2,040.6 Million by 2033, exhibiting a growth rate (CAGR) of 19.4% during 2025-2033. The escalating promotion and funding of AI research and development, the widespread integration of chatbots in customer service, and the COVID-19 pandemic prompting businesses to shift towards digital platforms represent some of the key factors driving the market.

A chatbot is a software application designed to simulate human conversation. It interacts with users through text or voice communication, mimicking human responses to questions and commands. Chatbots utilize natural language processing (NLP) algorithms, allowing them to understand and process human language, thereby engaging in meaningful dialogues. They can be integrated into various platforms such as websites, mobile apps, and messaging applications. Numerous businesses utilize chatbots to provide immediate, 24/7 customer service, addressing common inquiries without human intervention. This enhances efficiency and offers a consistent user experience. They are also used in other fields such as healthcare for patient assistance or in finance for personal financial management. The growing sophistication of AI technology enables chatbots to provide increasingly complex and personalized interactions. They can be rule-based, where responses are pre-determined, or more advanced, leveraging machine learning to understand context and intent for more nuanced communication. The use of chatbots has seen significant growth in recent years, driven by technological advancements and the growing need for on-demand, virtual services. They are becoming a vital tool in enhancing customer engagement and are seen as a crucial part of the future digital landscape.

Japan Chatbot Market Trends:

The market for chatbots in Japan is experiencing substantial growth, driven by the country's focus on technological innovation and artificial intelligence. Additionally, the Japanese government is actively promoting and funding AI research and development. Therefore, this is significantly supporting the market. Along with this, the integration of chatbots in customer service has been a response to the increasing demand for 24/7 support, especially in industries such as banking, retail, and healthcare. Japan's aging population is also contributing to the rise of chatbots, as businesses seek to streamline operations and manage labor shortages through automation. In addition, cultural factors also play a part, as the Japanese market often prefers indirect and non-intrusive customer service, a niche where chatbots excel. Apart from this, the COVID-19 pandemic has prompted businesses to shift towards digital platforms, further driving the need for virtual communication tools. The rise of smartphone usage in Japan has made access to chatbot services easier and more widespread, contributing to their popularity. In confluence with this, significant investments in machine learning and natural language processing technologies have enhanced the efficiency and human-like interaction of chatbots. Furthermore, collaborations between tech companies and traditional industries are fostering innovative applications for chatbots, such as personal finance management or mental health support. The advancement in secure and robust cloud infrastructure in Japan has also enabled the seamless integration of chatbots across various platforms. Some of the other factors driving the market include the growing penetration of the Internet of Things (IoT), rapid digitization, and inflating disposable income levels of individuals.

Japan Chatbot Market Segmentation:

Type Insights:

• Standalone
• Web-based
• Messenger-based/Third Party

Product Insights:

• Artificial Intelligence
• Marketing
• Human Intelligence

Application Insights:

• Bots for Service
• Bots for Social Media
• Bots for Payments/Order Processing
• Bots for Marketing
• Others

Organization Size Insights:

• Small Enterprises
• Medium Enterprises
• Large Enterprises

Vertical Insights:

• Healthcare
• Retail
• Banking, Financial Services, and Insurance
• Media and Entertainment
• Travel and Tourism
• E-Commerce
• Others

Competitive Landscape:

• The 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 chatbot market performed so far and how will it perform in the coming years?
• What has been the impact of COVID-19 on the Japan chatbot market?
• What is the breakup of the Japan chatbot market on the basis of type?
• What is the breakup of the Japan chatbot market on the basis of product?
• What is the breakup of the Japan chatbot market on the basis of application?
• What is the breakup of the Japan chatbot market on the basis of organization size?
• What is the breakup of the Japan chatbot market on the basis of vertical?
• What are the various stages in the value chain of the Japan chatbot market?
• What are the key driving factors and challenges in the Japan chatbot?
• What is the structure of the Japan chatbot market and who are the key players?
• What is the degree of competition in the Japan chatbot 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 Chatbot Market - Introduction

• 4.1 Overview
• 4.2 Market Dynamics
• 4.3 Industry Trends
• 4.4 Competitive Intelligence

5 Japan Chatbot Market Landscape

• 5.1 Historical and Current Market Trends (2019-2024)
• 5.2 Market Forecast (2025-2033)

6 Japan Chatbot Market - Breakup by Type

• 6.1 Standalone
  • 6.1.1 Overview
  • 6.1.2 Historical and Current Market Trends (2019-2024)
  • 6.1.3 Market Forecast (2025-2033)
• 6.2 Web-based
  • 6.2.1 Overview
  • 6.2.2 Historical and Current Market Trends (2019-2024)
  • 6.2.3 Market Forecast (2025-2033)
• 6.3 Messenger-based/Third Party
  • 6.3.1 Overview
  • 6.3.2 Historical and Current Market Trends (2019-2024)
  • 6.3.3 Market Forecast (2025-2033)

7 Japan Chatbot Market - Breakup by Product

• 7.1 Artificial Intelligence
  • 7.1.1 Overview
  • 7.1.2 Historical and Current Market Trends (2019-2024)
  • 7.1.3 Market Forecast (2025-2033)
• 7.2 Marketing
  • 7.2.1 Overview
  • 7.2.2 Historical and Current Market Trends (2019-2024)
  • 7.2.3 Market Forecast (2025-2033)
• 7.3 Human Intelligence
  • 7.3.1 Overview
  • 7.3.2 Historical and Current Market Trends (2019-2024)
  • 7.3.3 Market Forecast (2025-2033)

8 Japan Chatbot Market - Breakup by Application

• 8.1 Bots for Service
  • 8.1.1 Overview
  • 8.1.2 Historical and Current Market Trends (2019-2024)
  • 8.1.3 Market Forecast (2025-2033)
• 8.2 Bots for Social Media
  • 8.2.1 Overview
  • 8.2.2 Historical and Current Market Trends (2019-2024)
  • 8.2.3 Market Forecast (2025-2033)
• 8.3 Bots for Payments/Order Processing
  • 8.3.1 Overview
  • 8.3.2 Historical and Current Market Trends (2019-2024)
  • 8.3.3 Market Forecast (2025-2033)
• 8.4 Bots for Marketing
  • 8.4.1 Overview
  • 8.4.2 Historical and Current Market Trends (2019-2024)
  • 8.4.3 Market Forecast (2025-2033)
• 8.5 Others
  • 8.5.1 Historical and Current Market Trends (2019-2024)
  • 8.5.2 Market Forecast (2025-2033)

9 Japan Chatbot Market - Breakup by Organization Size

• 9.1 Small Enterprises
  • 9.1.1 Overview
  • 9.1.2 Historical and Current Market Trends (2019-2024)
  • 9.1.3 Market Forecast (2025-2033)
• 9.2 Medium Enterprises
  • 9.2.1 Overview
  • 9.2.2 Historical and Current Market Trends (2019-2024)
  • 9.2.3 Market Forecast (2025-2033)
• 9.3 Large Enterprises
  • 9.3.1 Overview
  • 9.3.2 Historical and Current Market Trends (2019-2024)
  • 9.3.3 Market Forecast (2025-2033)

10 Japan Chatbot Market - Breakup by Vertical

• 10.1 Healthcare
  • 10.1.1 Overview
  • 10.1.2 Historical and Current Market Trends (2019-2024)
  • 10.1.3 Market Forecast (2025-2033)
• 10.2 Retail
  • 10.2.1 Overview
  • 10.2.2 Historical and Current Market Trends (2019-2024)
  • 10.2.3 Market Forecast (2025-2033)
• 10.3 Banking, Financial Services and Insurance
  • 10.3.1 Overview
  • 10.3.2 Historical and Current Market Trends (2019-2024)
  • 10.3.3 Market Forecast (2025-2033)
• 10.4 Media and Entertainment
  • 10.4.1 Overview
  • 10.4.2 Historical and Current Market Trends (2019-2024)
  • 10.4.3 Market Forecast (2025-2033)
• 10.5 Travel and Tourism
  • 10.5.1 Overview
  • 10.5.2 Historical and Current Market Trends (2019-2024)
  • 10.5.3 Market Forecast (2025-2033)
• 10.6 E-Commerce
  • 10.6.1 Overview
  • 10.6.2 Historical and Current Market Trends (2019-2024)
  • 10.6.3 Market Forecast (2025-2033)
• 10.7 Others
  • 10.7.1 Historical and Current Market Trends (2019-2024)
  • 10.7.2 Market Forecast (2025-2033)

11 Japan Chatbot Market - Competitive Landscape

• 11.1 Overview
• 11.2 Market Structure
• 11.3 Market Player Positioning
• 11.4 Top Winning Strategies
• 11.5 Competitive Dashboard
• 11.6 Company Evaluation Quadrant

12 Profiles of Key Players

• 12.1 Company A
  • 12.1.1 Business Overview
  • 12.1.2 Services Offered
  • 12.1.3 Business Strategies
  • 12.1.4 SWOT Analysis
  • 12.1.5 Major News and Events
• 12.2 Company B
  • 12.2.1 Business Overview
  • 12.2.2 Services Offered
  • 12.2.3 Business Strategies
  • 12.2.4 SWOT Analysis
  • 12.2.5 Major News and Events
• 12.3 Company C
  • 12.3.1 Business Overview
  • 12.3.2 Services Offered
  • 12.3.3 Business Strategies
  • 12.3.4 SWOT Analysis
  • 12.3.5 Major News and Events
• 12.4 Company D
  • 12.4.1 Business Overview
  • 12.4.2 Services Offered
  • 12.4.3 Business Strategies
  • 12.4.4 SWOT Analysis
  • 12.4.5 Major News and Events
• 12.5 Company E
  • 12.5.1 Business Overview
  • 12.5.2 Services Offered
  • 12.5.3 Business Strategies
  • 12.5.4 SWOT Analysis
  • 12.5.5 Major News and Events

13 Japan Chatbot Market - Industry Analysis

• 13.1 Drivers, Restraints and Opportunities
  • 13.1.1 Overview
  • 13.1.2 Drivers
  • 13.1.3 Restraints
  • 13.1.4 Opportunities
• 13.2 Porters Five Forces Analysis
  • 13.2.1 Overview
  • 13.2.2 Bargaining Power of Buyers
  • 13.2.3 Bargaining Power of Suppliers
  • 13.2.4 Degree of Competition
  • 13.2.5 Threat of New Entrants
  • 13.2.6 Threat of Substitutes
• 13.3 Value Chain Analysis

14 Appendix