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到 2030 年的語音分析市場預測 - 按組件、業務功能、組織規模、部署型態、用途、最終用戶和區域進行的全球分析
市場調查報告書
商品編碼
1340010

到 2030 年的語音分析市場預測 - 按組件、業務功能、組織規模、部署型態、用途、最終用戶和區域進行的全球分析

Speech Analytics Market Forecasts to 2030 - Global Analysis By Component, Business Function, Organization Size, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2023 年全球語音分析市場規模將達到 27.4 億美元，預計到 2030 年將達到 94.4 億美元，預測期內年複合成長率為 19.3%。

語音分析是一種使用人工智慧和自然語言處理 (NLP) 從即時或錄製的語音資料中解釋和分析消費者對話的系統。聯絡中心經理通常利用語音分析來識別客戶交互過程中常用的詞語，以識別和了解主要的促進因素促進因素。與組織的營運問題和戰略相關的資訊是使用這些資料確定的。語音分析軟體使企業能夠了解有關其營運和產品的重要詳細資訊，從而提高消費者滿意度並增加出貨量。

市場動態：

促進因素：

  • 在電訊領域的使用不斷增加。
  • 語音分析的使用預計將提高電訊行業的盈利能力。此外，電信業者聯絡中心正在利用雲端基礎的語音分析來即時追蹤客戶旅程並確定消費者模式、行為和趨勢。語音分析使您能夠輕鬆且經濟地檢查和評估許多通話錄音。語音分析還有其他好處，可以改善客戶體驗 (CX)、客戶獲取和客戶維繫。這些好處包括減少欺詐、改進服務、提高客戶滿意度、降低風險和提高盈利能力。

抑制因素

  • 需要與現有系統整合。
  • 決定最有效的語音分析軟體可能很困難。語音、轉錄和匹配用戶所說的關鍵術語只是您從資料中提取見解的一些方法。選擇最適合您公司需求的策略可能很困難。由於有許多提供商提供類似的服務，選擇最佳的語音分析解決方案變得越來越困難。因此，阻礙採用語音分析的關鍵要素之一是需要將語音分析與當前的 CRM 系統整合以獲取資料洞察，並需要決定如何做到這一點。

機會

  • 利用人工智慧和機器學習技術提供及時且可操作的消費者洞察。
  • 現代企業正在利用人工智慧和自然語言處理技術來補充企業營運並降低營運成本。由人工智慧驅動的語音分析工具提供即時客戶洞察。該工具可幫助聯絡中心座席專注於呼叫者、監控客戶情緒並使用轉錄資料來提案響應和提案解決方案。例如，銀行業的大多數聯絡中心都不堪重負，無法提供最好的客戶服務。因此，在銀行業，語音分析與NLP技術的結合將使人工座席能夠更好地了解消費者，甚至預測他們的需求。

威脅

  • 整合。
  • 預測分析是一種準確預測客戶行為的方法。分析客戶的聲音和對話模式，並將其與正常行為模式聯繫起來，以提供客製化的行為。通過了解行為趨勢，預測分析技術可以預測消費者生活、工作文化、社交習慣、娛樂和醫療保健中的未來行為。語音分析側重於韻律語音模式，例如重音、速度和語調。語音分析現在經常以基本語音辨識工具和軟體的形式使用。

COVID-19 的影響：

  • 在 COVID-19 爆發期間，潛在的最終用戶行業採用了最尖端科技支持的語音分析解決方案，從而導致市場成長加快。雖然呼叫中心長期以來一直是一個關鍵領域，但 COVID-19 的爆發加速了職場自動化的總體發展。此外，人工智慧和機器學習極大地提高了公司使用語音分析將通訊分類為適當組以了解對話內容的速度。
  • 電信和 IT 行業預計將在預測期內成為最大的行業
  • 預測期內，電信和 IT 行業佔據最大佔有率。由於互聯世界概念的引入產生了大量資料，語音分析在通訊業越來越受歡迎。通訊服務提供商普遍使用語音分析工具。隨著您的業務市場的成長，增加利潤、減少欺​​詐、降低風險、改進服務和提高客戶滿意度等眾多好處可幫助您吸引並留住更多客戶。
  • 預計解決方案行業在預測期內年複合成長率最高
  • 預計解決方案行業在預測期內將出現良好成長。通過結合分析、NLP 和 AI 等多種技術，語音分析系統可以提供對語音通訊的更深入的見解，並為您的業務提供有用的見解。大多數企業使用語音分析工具來理解和利用生成的對話資料來提高營運效率。語音分析解決方案提供商提供端到端解決方案，以滿足 BFSI、零售和電子商務、電信、製造、旅遊和酒店、醫療保健和生命科學、媒體和娛樂等行業的需求。

佔比最大的地區

在整個統治時期，北美佔據了最大的佔有率。美國語音分析行業受到多種要素的推動，包括數位行銷支出的增加、政府對技術的投資增加以及對該地區精神疾病治療的日益關注。此外，像中央情報局這樣的組織積極支持可能有助於定位恐怖分子和外國特工的概念。這也大大增加了矽谷新興企業主動設計和創新現有語音分析技術的機會，以創建尖端且引人注目的解決方案。

複合年複合成長率最高的地區：

隨著越來越多的人在聯網電視、個人電腦、平板電腦、汽車和穿戴式設備等各種平台上利用語音控制，預計北美地區在預測期內將實現盈利成長。此外，該地區的企業通常依賴這些解決方案來改善客戶服務。美國最大的保險公司之一大都會人壽部署了人工智慧系統來自主響應消費者的情感需求和要求。此外，該技術的開發是為了幫助公司員工通過對話追蹤和監控客戶情緒，從而提高客戶支持的品質。

免費客製化服務：

訂閱此報告的客戶將收到以下免費客製化選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（注：基於可行性檢查）
  • 競爭標杆管理
    • 根據產品系列、地域分佈和戰略聯盟對主要企業進行基準測試

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 資料挖掘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球語音分析市場：按組成部分

  • 服務
  • 解決方案

第6章 全球語音分析市場：按業務功能分類

  • 營運和供應鏈
  • 聯絡中心/呼叫中心
  • 銷售和行銷
  • 財會

第7章 全球語音分析市場：按組織規模

  • 中小企業
  • 主要企業

第8章 全球語音分析市場：按部署型態

  • 雲
  • 本地
  • 一經請求

第9章 全球語音分析市場：按用途

  • 營運效率
  • 收入/潛在客戶開發
  • 客戶體驗管理
  • 呼叫監控和摘要
  • 品管
  • 代理績效管理
  • 風險與合規管理
  • 其他用途

第10章 全球語音分析市場：按最終用戶分類

  • 旅遊和招待
  • 媒體和娛樂
  • 醫療保健和生命科學
  • 汽車和交通
  • 零售和電子商務
  • 電信與資訊技術
  • 其他最終用戶

第11章全球語音分析市場：按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第12章進展

  • 契約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章公司簡介

  • OpenText Corp
  • VoiceBase Inc.
  • Calabrio Inc.
  • Raytheon BBN Technologies
  • Callminer Inc
  • Genesys Telecommunications Laboratories Inc.
  • Micro Focus International PLC
  • Avaya Inc
  • Verint System Inc
Product Code: SMRC23717

According to Stratistics MRC, the Global Speech Analytics Market is accounted for $2.74 billion in 2023 and is expected to reach $9.44 billion by 2030 growing at a CAGR of 19.3% during the forecast period. Speech analytics is a system that uses artificial intelligence and natural language processing (NLP) to interpret and analyze consumer conversations from real-time or recorded audio data. Managers of contact centers generally utilize speech analytics to determine the words that are frequently used during customer interactions in order to identify and comprehend their top contact drivers. Information related to organizational operational concerns and strategy is determined using this data. With the aid of speech analytics software, businesses can learn vital details about their operations and products, increasing consumer satisfaction and elevating shipments.

Market Dynamics:

Driver:

  • Increasing use in the telecom sector.
  • With the use of voice analytics, the telecom industry is expected to be more profitable. Additionally, cloud-based audio analytics are being used by contact centers for telecom companies to track customer journeys in real time and determine consumer patterns, behaviors, and trends. Many call recordings can be easily and affordably examined and evaluated using speech analytics. Speech analytics has additional benefits that have improved customer experience (CX), customer acquisition, and customer retention. These benefits include less fraud, better service, more customer satisfaction, lower risk, and higher profitability.

Restraint:

  • Integration is necessary for the existing system.
  • It can be difficult to decide on the most effective voice analytics software. Phonetics, transcription, and matching important terms spoken by users are just a few methods for drawing insights from data. It might be difficult to select the strategy that will best meet the needs of a firm. Selecting the best speech analytics solution is made more challenging by the abundance of providers offering services of an equivalent caliber. Therefore, one of the main obstacles to the widespread adoption of speech analytics is the requirement to integrate speech analytics with current CRM systems for data insights and to settle on a method to accomplish this.

Opportunity:

  • Utilization of AI and ML technology to enable timely, actionable consumer insights.
  • Modern businesses are utilizing AI and NLP technology to supplement corporate operations and cut operational costs. Real-time customer insights are provided by AI-powered speech analytics tools, which help support contact center agents concentrate on the caller, monitor customer sentiment, and use transcribed data to suggest responses and suggest solutions. For instance, the majority of contact centers in the banking industry became overwhelmed with consumer calls, making it impossible for them to deliver the best possible customer care. Thus, in the banking industry, voice analytics combined with NLP technology can aid human representatives in better understanding consumers and even foreseeing their demands.

Threat:

  • Integration of speech analytics with other analytics.
  • Predictive analytics is a precise method of predicting client behavior. In order to provide behavioral customization, it analyzes a customer's voice or speech patterns and connects them to usual behavioral patterns. Predictive analytics technology can foresee future behavior in consumerism, work culture, social habits, entertainment, and healthcare by understanding behavioral trends. Speech analytics concentrates on prosodic speech patterns, including emphasis, speed, and intonation. Currently, speech analytics are frequently used in the form of basic voice recognition tools or software.

COVID-19 Impact:

  • The potential end-user industries adopted cutting-edge technology-enabled speech analytics solutions during the COVID-19 epidemic, thus increasing market growth. The epidemic has hastened the general development of workplace automation, even though call centers have long been a major frontier. Additionally, AI and machine learning have dramatically increased the speed at which businesses may use speech analytics to categorize communications into pertinent groups in order to comprehend what's going on in a conversation.
  • The Telecom & IT segment is expected to be the largest during the forecast period
  • Telecom & IT segment commanded the largest share over the forecast period. Speech analytics has gained more and more traction in the telecom industry as a result of the enormous number of data produced by the introduction of the connected world concept. Speech analytics tools are commonly used by telecom service providers. Numerous benefits, such as higher profits, lower fraud, lower risk, better service, and more customer happiness, are aiding in attracting and keeping more customers as the business market grows.
  • The Solutions segment is expected to have the highest CAGR during the forecast period
  • Solutions segment is estimated to witness lucrative growth during the projection period. By combining several technologies, including analytics, NLP, and AI, speech analytics systems can further build a deep analysis of voice communication and provide business-useful insights. The majority of businesses use speech analytics tools to comprehend the conversational data produced and use it to improve operational effectiveness. To meet the needs of verticals including BFSI, retail and eCommerce, telecom, manufacturing, travel and hospitality, healthcare and life sciences, and media and entertainment, speech analytics solution providers offer end-to-end solutions.

Region with largest share:

North America commanded the largest share throughout the domination period. The speech analytics industry in the US is driven by a number of factors, including rising digital marketing expenditures, greater government investment in technology, and a rising emphasis on the treatment of mental illness in the area. Additionally, organizations like the CIA aggressively support concepts that could aid in locating terrorists and foreign agents. The opportunity for Silicon Valley startups to actively design and innovate existing speech analytics technologies in order to create cutting-edge and appealing solutions is also greatly increased by this.

Region with highest CAGR:

Because more people are using voice controls on a variety of platforms, including connected TVs, PCs, tablets, cars, and wearables, North America is predicted to experience profitable growth over the projected period. Additionally, businesses in the area typically use these solutions to improve customer service. One of the biggest insurance companies in the US, MetLife, deployed an AI system largely to respond spontaneously to the emotional needs and demands of its consumers. Moreover, the technology was created with the specific goal of assisting the company's staff in tracking and monitoring clients' emotions throughout conversations, improving the caliber of customer support interactions.

Key players in the market:

Some of the key players in Speech Analytics market include: OpenText Corp, VoiceBase Inc., Calabrio Inc., Raytheon BBN Technologies, Callminer Inc, Genesys Telecommunications Laboratories Inc., Micro Focus International PLC, Avaya Inc and Verint System Inc.

Key Developments:

  • In February 2023, Nvidia and Airtel have announced the launch of a speech analytics solution for call center operations. Bharti Airtel has announced a solution based on artificial intelligence to improve the customer experience for all inbound calls to its contact center. The voice analytics system, which is built in conjunction with Nvidia, is designed to assist call center workers and customers better while lowering computer costs. Airtel used Nvidia's conversational AI toolkit NvidiaNeMo and a multi-framework inference serving software Triton Inference Server to create this specialized voice application.
  • In June 2022, Aural Analytics, Inc., a leader in clinical-grade speech analytics, announced a partnership with Koneksa in digital biomarker development to further strengthen its platform and research capabilities using Aural Analytics' technology, Speech Vitals. The premier research-grade technologies from Aural Analytics and Koneksa are optimized to enable clinical trials at scale throughout development and commercial pharma pipelines. This integration aims to make it simple to incorporate speech metrics into Koneksa research and digital biomarker development initiatives.

Components Covered:

  • Services
  • Solutions

Business Functions Covered:

  • Operations and Supply Chain
  • Contact Center/ Call Center
  • Sales and Marketing
  • Finance and Accounting

Organization Sizes Covered:

  • SMEs
  • Large Enterprises

Deployment Modes Covered:

  • Cloud
  • On-Premises
  • On-Demand

Applications Covered:

  • Operational Efficiency
  • Revenue/ Lead Generation
  • Customer Experience Management
  • Call Monitoring and Summarization
  • Quality Management
  • Agent Performance Management
  • Risk and Compliance Management
  • Other Applications

End Users Covered:

  • Travel and Hospitality
  • Media and Entertainment
  • Healthcare and Life Sciences
  • Automotive and Transportation
  • Retail and eCommerce
  • Telecom & IT
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Speech Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Services
  • 5.3 Solutions

6 Global Speech Analytics Market, By Business Function

  • 6.1 Introduction
  • 6.2 Operations and Supply Chain
  • 6.3 Contact Center/ Call Center
  • 6.4 Sales and Marketing
  • 6.5 Finance and Accounting

7 Global Speech Analytics Market, By Organization Size

  • 7.1 Introduction
  • 7.2 SMEs
  • 7.3 Large Enterprises

8 Global Speech Analytics Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 Cloud
  • 8.3 On-Premises
  • 8.4 On-Demand

9 Global Speech Analytics Market, By Application

  • 9.1 Introduction
  • 9.2 Operational Efficiency
  • 9.3 Revenue/ Lead Generation
  • 9.4 Customer Experience Management
  • 9.5 Call Monitoring and Summarization
  • 9.6 Quality Management
  • 9.7 Agent Performance Management
  • 9.8 Risk and Compliance Management
  • 9.9 Other Applications

10 Global Speech Analytics Market, By End User

  • 10.1 Introduction
  • 10.2 Travel and Hospitality
  • 10.3 Media and Entertainment
  • 10.4 Healthcare and Life Sciences
  • 10.5 Automotive and Transportation
  • 10.6 Retail and eCommerce
  • 10.7 Telecom & IT
  • 10.8 Other End Users

11 Global Speech Analytics Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 OpenText Corp
  • 13.2 VoiceBase Inc.
  • 13.3 Calabrio Inc.
  • 13.4 Raytheon BBN Technologies
  • 13.5 Callminer Inc
  • 13.6 Genesys Telecommunications Laboratories Inc.
  • 13.7 Micro Focus International PLC
  • 13.8 Avaya Inc
  • 13.9 Verint System Inc

List of Tables

  • Table 1 Global Speech Analytics Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Speech Analytics Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Speech Analytics Market Outlook, By Services (2021-2030) ($MN)
  • Table 4 Global Speech Analytics Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 5 Global Speech Analytics Market Outlook, By Business Function (2021-2030) ($MN)
  • Table 6 Global Speech Analytics Market Outlook, By Operations and Supply Chain (2021-2030) ($MN)
  • Table 7 Global Speech Analytics Market Outlook, By Contact Center/ Call Center (2021-2030) ($MN)
  • Table 8 Global Speech Analytics Market Outlook, By Sales and Marketing (2021-2030) ($MN)
  • Table 9 Global Speech Analytics Market Outlook, By Finance and Accounting (2021-2030) ($MN)
  • Table 10 Global Speech Analytics Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 11 Global Speech Analytics Market Outlook, By SMEs (2021-2030) ($MN)
  • Table 12 Global Speech Analytics Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 13 Global Speech Analytics Market Outlook, By Deployment Mode (2021-2030) ($MN)
  • Table 14 Global Speech Analytics Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 15 Global Speech Analytics Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 16 Global Speech Analytics Market Outlook, By On-Demand (2021-2030) ($MN)
  • Table 17 Global Speech Analytics Market Outlook, By Application (2021-2030) ($MN)
  • Table 18 Global Speech Analytics Market Outlook, By Operational Efficiency (2021-2030) ($MN)
  • Table 19 Global Speech Analytics Market Outlook, By Revenue/ Lead generation (2021-2030) ($MN)
  • Table 20 Global Speech Analytics Market Outlook, By Customer Experience Management (2021-2030) ($MN)
  • Table 21 Global Speech Analytics Market Outlook, By Call Monitoring and Summarization (2021-2030) ($MN)
  • Table 22 Global Speech Analytics Market Outlook, By Quality Management (2021-2030) ($MN)
  • Table 23 Global Speech Analytics Market Outlook, By Agent Performance Management (2021-2030) ($MN)
  • Table 24 Global Speech Analytics Market Outlook, By Risk and Compliance Management (2021-2030) ($MN)
  • Table 25 Global Speech Analytics Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 26 Global Speech Analytics Market Outlook, By End User (2021-2030) ($MN)
  • Table 27 Global Speech Analytics Market Outlook, By Travel and Hospitality (2021-2030) ($MN)
  • Table 28 Global Speech Analytics Market Outlook, By Media and Entertainment (2021-2030) ($MN)
  • Table 29 Global Speech Analytics Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 30 Global Speech Analytics Market Outlook, By Automotive and Transportation (2021-2030) ($MN)
  • Table 31 Global Speech Analytics Market Outlook, By Retail and eCommerce (2021-2030) ($MN)
  • Table 32 Global Speech Analytics Market Outlook, By Telecom & IT (2021-2030) ($MN)
  • Table 33 Global Speech Analytics Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.