音声アナリティクスの日本市場：タイプ別、展開モード別、企業規模別、エンドユーザー別、地域別、2025年～2033年

日本の音声アナリティクス市場規模は2024年に1億4,330万米ドルに達しました。今後、IMARC Groupは、同市場が2033年までに4億9,230万米ドルに達し、2025年から2033年にかけて13.7%の成長率（CAGR）を示すと予測しています。音声アナリティクスソリューションの機能を大幅に強化した音声認識および自然言語処理（NLP）技術の継続的な向上が、市場を牽引しています。

本レポートで扱う主な質問

• 日本の音声アナリティクス市場はこれまでどのように推移し、今後どのように推移していくのか？
• COVID-19が日本の音声アナリティクス市場に与えた影響は？
• 日本の音声アナリティクス市場のタイプ別区分は？
• 日本の音声アナリティクス市場の展開モード別区分は？
• 日本の音声アナリティクス市場の企業規模別区分は？
• 日本の音声アナリティクス市場のエンドユーザー別区分は？
• 日本の音声アナリティクス市場のバリューチェーンにおける各ステージとは？
• 日本の音声アナリティクスの主要な促進要因と課題は何か？
• 日本の音声アナリティクス市場の構造と主要プレーヤーは？
• 日本の音声アナリティクス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 日本の音声アナリティクス市場 - 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 日本の音声アナリティクス市場情勢

• 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 日本の音声アナリティクス市場- タイプ別内訳

• ソリューション
• サービス

第7章 日本の音声アナリティクス市場 - 展開モード別内訳

• オンプレミス
• クラウドベース

第8章 日本の音声アナリティクス市場 - 企業規模別内訳

• 大企業
• 中小企業

第9章 日本の音声アナリティクス市場 - エンドユーザー別内訳

• BFSI
• IT・通信
• 政府
• 小売
• ヘルスケア
• ホスピタリティ
• その他

第10章 日本の音声アナリティクス市場 - 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11章 主要企業のプロファイル

第12章 日本の音声アナリティクス市場 - 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13章 付録

Japan speech analytics market size reached USD 143.3 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 492.3 Million by 2033, exhibiting a growth rate (CAGR) of 13.7% during 2025-2033. The ongoing improvement in speech recognition and natural language processing (NLP) technologies that have significantly enhanced the capabilities of speech analytics solutions, is driving the market.

Speech analytics is a technology that analyzes spoken language, typically in the context of customer service interactions or recorded conversations. It employs advanced algorithms and natural language processing techniques to transcribe, process, and extract valuable insights from spoken words. This technology enables organizations to gain a deeper understanding of customer interactions, detect patterns, and identify trends. Speech analytics can help businesses improve customer satisfaction by uncovering areas for process improvement, training needs, and compliance issues. It can also assist in identifying customer sentiments, such as satisfaction or frustration, and track key performance indicators like call resolution times or sales conversion rates. Overall, speech analytics provides organizations with a powerful tool to enhance their customer service, make data-driven decisions, and enhance operational efficiency by leveraging the wealth of information contained within spoken conversations. It is increasingly essential in today's data-driven business landscape, enabling companies to gain a competitive edge through better customer understanding and improved communication strategies.

Japan Speech Analytics Market Trends:

The speech analytics market in Japan is growing substantially due to several key drivers. Firstly, the increasing volume of customer interactions across various channels, such as phone calls, chat, and social media, has propelled the demand for speech analytics solutions. Consequently, organizations are turning to these tools to gain valuable insights into customer sentiments and preferences. Furthermore, the ever-evolving regulatory landscape plays a significant role in driving the speech analytics market. Compliance requirements, like GDPR and HIPAA, necessitate robust data management and privacy measures, prompting businesses to invest in analytics solutions that ensure compliance while improving customer service. Moreover, the competitive landscape and the pursuit of operational excellence are driving organizations to leverage speech analytics. By analyzing customer interactions, companies can identify areas for improvement, optimize processes, and enhance the overall customer experience. Additionally, the ongoing advancement of artificial intelligence and machine learning technologies, which have enhanced the capabilities of speech analytics, making it more accurate and efficient, is expected to drive the market in Japan during the forecast period.

Japan Speech Analytics Market Segmentation:

Type Insights:

• Solution
• Services

Deployment Mode Insights:

• On-premises
• Cloud-based

Enterprise Size Insights:

• Large Enterprises
• Small and Medium Enterprises

End User Insights:

• BFSI
• IT and Telecommunication
• Government
• Retail
• Healthcare
• Hospitality
• Others

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape. 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 speech analytics market performed so far and how will it perform in the coming years?
• What has been the impact of COVID-19 on the Japan speech analytics market?
• What is the breakup of the Japan speech analytics market on the basis of type?
• What is the breakup of the Japan speech analytics market on the basis of deployment mode?
• What is the breakup of the Japan speech analytics market on the basis of enterprise size?
• What is the breakup of the Japan speech analytics market on the basis of end user?
• What are the various stages in the value chain of the Japan speech analytics market?
• What are the key driving factors and challenges in the Japan speech analytics?
• What is the structure of the Japan speech analytics market and who are the key players?
• What is the degree of competition in the Japan speech analytics 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 Speech Analytics Market - Introduction

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

5 Japan Speech Analytics Market Landscape

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

6 Japan Speech Analytics Market - Breakup by Type

• 6.1 Solution
  • 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 Forecast (2025-2033)

7 Japan Speech Analytics Market - Breakup by Deployment Mode

• 7.1 On-premises
  • 7.1.1 Overview
  • 7.1.2 Historical and Current Market Trends (2019-2024)
  • 7.1.3 Market Forecast (2025-2033)
• 7.2 Cloud-based
  • 7.2.1 Overview
  • 7.2.2 Historical and Current Market Trends (2019-2024)
  • 7.2.3 Market Forecast (2025-2033)

8 Japan Speech Analytics Market - Breakup by Enterprise Size

• 8.1 Large Enterprises
  • 8.1.1 Overview
  • 8.1.2 Historical and Current Market Trends (2019-2024)
  • 8.1.3 Market Forecast (2025-2033)
• 8.2 Small and Medium Enterprises
  • 8.2.1 Overview
  • 8.2.2 Historical and Current Market Trends (2019-2024)
  • 8.2.3 Market Forecast (2025-2033)

9 Japan Speech Analytics Market - Breakup by End User

• 9.1 BFSI
  • 9.1.1 Overview
  • 9.1.2 Historical and Current Market Trends (2019-2024)
  • 9.1.3 Market Forecast (2025-2033)
• 9.2 IT and Telecommunication
  • 9.2.1 Overview
  • 9.2.2 Historical and Current Market Trends (2019-2024)
  • 9.2.3 Market Forecast (2025-2033)
• 9.3 Government
  • 9.3.1 Overview
  • 9.3.2 Historical and Current Market Trends (2019-2024)
  • 9.3.3 Market Forecast (2025-2033)
• 9.4 Retail
  • 9.4.1 Overview
  • 9.4.2 Historical and Current Market Trends (2019-2024)
  • 9.4.3 Market Forecast (2025-2033)
• 9.5 Healthcare
  • 9.5.1 Overview
  • 9.5.2 Historical and Current Market Trends (2019-2024)
  • 9.5.3 Market Forecast (2025-2033)
• 9.6 Hospitality
  • 9.6.1 Overview
  • 9.6.2 Historical and Current Market Trends (2019-2024)
  • 9.6.3 Market Forecast (2025-2033)
• 9.7 Others
  • 9.7.1 Historical and Current Market Trends (2019-2024)
  • 9.7.2 Market Forecast (2025-2033)

10 Japan Speech Analytics Market - Competitive Landscape

• 10.1 Overview
• 10.2 Market Structure
• 10.3 Market Player Positioning
• 10.4 Top Winning Strategies
• 10.5 Competitive Dashboard
• 10.6 Company Evaluation Quadrant

11 Profiles of Key Players

• 11.1 Company A
  • 11.1.1 Business Overview
  • 11.1.2 Services Offered
  • 11.1.3 Business Strategies
  • 11.1.4 SWOT Analysis
  • 11.1.5 Major News and Events
• 11.2 Company B
  • 11.2.1 Business Overview
  • 11.2.2 Services Offered
  • 11.2.3 Business Strategies
  • 11.2.4 SWOT Analysis
  • 11.2.5 Major News and Events
• 11.3 Company C
  • 11.3.1 Business Overview
  • 11.3.2 Services Offered
  • 11.3.3 Business Strategies
  • 11.3.4 SWOT Analysis
  • 11.3.5 Major News and Events
• 11.4 Company D
  • 11.4.1 Business Overview
  • 11.4.2 Services Offered
  • 11.4.3 Business Strategies
  • 11.4.4 SWOT Analysis
  • 11.4.5 Major News and Events
• 11.5 Company E
  • 11.5.1 Business Overview
  • 11.5.2 Services Offered
  • 11.5.3 Business Strategies
  • 11.5.4 SWOT Analysis
  • 11.5.5 Major News and Events

12 Japan Speech Analytics Market - Industry Analysis

• 12.1 Drivers, Restraints, and Opportunities
  • 12.1.1 Overview
  • 12.1.2 Drivers
  • 12.1.3 Restraints
  • 12.1.4 Opportunities
• 12.2 Porters Five Forces Analysis
  • 12.2.1 Overview
  • 12.2.2 Bargaining Power of Buyers
  • 12.2.3 Bargaining Power of Suppliers
  • 12.2.4 Degree of Competition
  • 12.2.5 Threat of New Entrants
  • 12.2.6 Threat of Substitutes
• 12.3 Value Chain Analysis

13 Appendix