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市場調查報告書
商品編碼
2058707

語音技術（VoIP AI）市場預測至2034年：按組件、部署模式、應用、最終用戶和地區分類的全球分析

Voice Tech (VoIP AI) Market Forecasts to 2034 - Global Analysis By Component (Solutions and Services), Deployment, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球語音技術（VoIP AI）市場規模將達到 126 億美元，並在預測期內以 9.1% 的複合年成長率成長，到 2034 年將達到 253 億美元。

融合 VoIP 和人工智慧的語音技術指的是一個整合的通訊和機器學習平台，它能夠即時處理、分析和產生人類語音，用於自動化客戶服務、詐欺檢測、生物識別和對話智慧應用。這些系統將對話啟動協定(SIP) 的 VoIP 通訊基礎設施與大規模語音辨識引擎、自然語言理解模型、語音生物識別分類器、情緒分析演算法和即時語音合成功能相結合，從而在客服中心環境、企業整合通訊平台、金融服務詐欺預防系統以及消費者虛擬助理應用中實現智慧語音自動化，並能適應各種語言和聲學環境。

人工智慧助力客服中心轉型

經營大規模客戶服務和客服中心的公司正在系統性地採用人工智慧語音技術平台。這使他們能夠自動化處理日常客戶互動，降低客服人員的營運成本，並透過人工智慧輔助工具改善客戶體驗。這些工具可為客服人員提供即時轉錄、情感分析和基於知識的建議，從而更快地解決問題。客服中心營運商透過人工智慧語音自動化將平均處理時間縮短了30%至50%，並記錄了其投資回報率，這正在推動全球金融服務、電信、醫療保健和零售等行業的客戶服務營運系統性地採用人工智慧語音平台。

口音和方言辨識的準確性

商用人工智慧語音辨識系統主要基於標準方言訓練資料集進行訓練，在處理區域口音、非母語人士的語音模式以及模型訓練語料庫中代表性不足的小眾語言變體時，準確率會顯著降低。這會導致服務品質不穩定，並削弱企業在地域分散的客戶服務應用中部署的信心。對於語音模式非標準的客戶，語音認證系統若出現較高的誤拒率，則會在金融服務和政府應用中引發無障礙存取問題和合規風險，因為這些領域的生物識別準確性必須滿足所有目標族群的監管要求。

語音生物識別的發展

語音生物識別在電話銀行、客服中心身份驗證和行動支付核准等領域的日益普及，為服務金融服務、政府和醫療保健行業的AI語音技術供應商帶來了巨大且快速成長的商機。在這些領域，無需依賴實體令牌的安全客戶身份驗證能夠顯著提高營運效率。語音生物識別系統可在不到一秒的時間內完成說話人身分驗證，且詐欺偵測準確率超過99%，正在取代基於知識的身份驗證問題和「錢包外」檢驗流程。這些傳統方法不僅增加了客戶流失率，而且容易受到針對客服中心操作員的社交工程攻擊。

使用合成語音進行深度造假的風險

人工智慧語音克隆和合成語音技術的快速發展，使得僅需少量語音樣本即可創建逼真的深度造假語音成為可能，這給語音生物識別系統和基於手機的身份驗證流程帶來了嚴重的安全漏洞。語音人工智慧平台供應商必須透過生物特徵檢測和語音偽影分析功能來解決這個問題，但這增加了部署解決方案的複雜性和成本。利用合成語音深度造假技術冒充高階主管並核准欺詐性資金轉移的高調社交工程攻擊，導致監管機構對語音認證的可靠性進行了更嚴格的審查。這造成了合規性的不確定性，並影響了企業在採用語音生物識別方面的決策。

新冠疫情的感染疾病：

疫情催生了對語音AI自動化前所未有的需求。在人員縮減的情況下，客服中心營運商面臨著呼叫量激增的局面，因此迅速部署了對話式AI來處理日常客戶諮詢。遠距辦公的興起促使企業對VoIP基礎設施進行了大量投資，並以基於雲端的整合通訊平台取代了本地PBX系統。疫情後，在混合辦公模式的持續發展和對AI驅動的客戶服務自動化的持續關注的推動下，對語音技術平台的投資仍然強勁。生成式AI功能的出現顯著擴展了語音AI系統能夠自主處理的對話複雜性。

在預測期內，服務業預計將佔據最大佔有率。

預計在預測期內，服務領域將佔據最大的市場佔有率。這是因為，針對人工智慧語音平台的整合服務、對話模型的客製化以及持續的模型改進管理服務，能夠提供遠高於一次性語音軟體授權銷售的優質經常性價值，從而帶來更高的終身收入。企業客戶在客服中心營運中部署人工智慧語音自動化時，需要一系列專業服務，例如使用特定領域的詞彙訓練自訂語言模型、將語音平台與現有的客戶關係管理 (CRM) 和電話基礎設施整合，以及基於通話分析持續改進對話流程設計。基於服務等級協定 (SLA) 並提供效能保證的託管式人工智慧語音服務能夠帶來可觀的經常性合約收入。

在預測期內，基於雲端的細分市場預計將呈現最高的複合年成長率。

在預測期內，雲端語音AI平台預計將呈現最高的成長率，這主要得益於雲端原生語音AI平台的普及。這些平台無需初始基礎設施投資，即可在企業客服中心中心和整合通訊環境中快速部署互動式AI功能。支援彈性擴展以應對聯絡客服中心尖峰時段流量、利用聚合的客戶互動數據持續更新模型，以及中型企業也能負擔得起的付費使用制的雲端語音AI平台，正在推動企業語音AI的普及，其應用範圍已超越大型企業。來自AWS、Google和微軟等超大規模資料中心業者大規模雲端服務供應商的語音AI服務，正透過整合開發者生態系統加速雲端語音AI的採用。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其集中了全球最大的企業客服中心，匯聚了許多領先的語音人工智慧技術公司，並在金融服務、醫療保健和電信行業擁有最成熟的人工智慧語音平台部署。美國是許多主要語音人工智慧平台供應商的所在地，包括 Nuance Communications、亞馬遜和谷歌，以及許多客服中心人工智慧專家。北美大型企業客服中心中心外包業務的集中，催生了對人工智慧語音自動化平台的大量採購，旨在降低成本並提升客戶體驗。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要歸功於印度、菲律賓和中國龐大的客服中心營運規模，這些中心服務於全球企業客戶；同時，國內人工智慧投資的快速成長也催生了大規模的語音人工智慧部署計畫。印度作為全球最大的客服中心服務供應商，正推動其系統性地部署人工智慧語音自動化技術，以在人事費用上升的情況下保持成本競爭力。在中國，以百度、阿里巴巴和科大訊飛主導的國內人工智慧語音技術生態系統，正推動政府服務和金融機構的大規模部署。

免費客製化服務優勢：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
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  • 區域細分
    • 應客戶要求，我們提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球語音技術（VoIP AI）市場：依組件分類

  • 解決方案
    • 語音助理
    • 語音分析
    • 語音生物識別
  • 服務
    • 一體化
    • 諮詢
    • 支援

第6章：全球語音技術（VoIP AI）市場：依部署方式分類

  • 基於雲端的
  • 現場

第7章 全球語音科技（VoIP AI）市場：依應用領域分類

  • 客戶支援
  • 客服中心
  • 私人助理
  • 詐欺偵測

第8章：全球語音技術（VoIP AI）市場：依最終用戶分類

  • 公司
  • 通訊業者
  • SME
  • BFSI
  • 零售
  • 衛生保健
  • IT/通訊

第9章 全球語音科技（VoIP AI）市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第10章 戰略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第11章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第12章：公司簡介

  • Cisco Systems Inc.
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services Inc.
  • Avaya Inc.
  • 8x8 Inc.
  • RingCentral Inc.
  • Zoom Video Communications Inc.
  • Genesys Telecommunications
  • Nuance Communications Inc.
  • Twilio Inc.
  • Vonage Holdings Corp.
  • Mitel Networks Corporation
  • Oracle Corporation
  • IBM Corporation
  • Alcatel-Lucent Enterprise
  • Dialpad Inc.
Product Code: SMRC36310

According to Stratistics MRC, the Global Voice Tech (VoIP AI) Market is accounted for $12.6 billion in 2026 and is expected to reach $25.3 billion by 2034 growing at a CAGR of 9.1% during the forecast period. Voice technology incorporating VoIP and artificial intelligence refers to integrated telecommunications and machine learning platforms that process, analyze, and generate human speech in real-time for automated customer interaction, fraud detection, biometric authentication, and conversational intelligence applications. These systems combine session initiation protocol-based voice over IP communication infrastructure with large-scale speech recognition engines, natural language understanding models, voice biometric classifiers, sentiment analysis algorithms, and real-time speech synthesis capabilities to enable intelligent voice automation across contact center environments, enterprise unified communications platforms, financial services fraud prevention systems, and consumer virtual assistant applications spanning diverse languages and acoustic environments.

Market Dynamics:

Driver:

Contact center AI transformation

Enterprises operating large customer service contact centers are systematically deploying AI voice technology platforms to automate routine customer interaction handling, reduce agent operational costs, and improve customer experience through faster issue resolution enabled by real-time AI assistance tools that provide agents with live transcription, sentiment analysis, and knowledge base recommendations. Contact center operators achieving a 30 to 50 percent reduction in average handle time through AI voice automation are generating documented ROI cases that are driving systematic enterprise procurement of AI voice platforms across financial services, telecommunications, healthcare, and retail customer service operations globally.

Restraint:

Accent and dialect recognition accuracy

Commercial AI voice recognition systems trained predominantly on standard dialect training datasets demonstrate significantly degraded accuracy when processing regional accents, non-native speaker speech patterns, and low-resource language variants that are underrepresented in model training corpora, creating service quality disparities that limit enterprise deployment confidence in geographically diverse customer service applications. Voice authentication systems experiencing elevated false rejection rates for customers with non-standard speech patterns create accessibility concerns and compliance risks for financial services and government applications where biometric authentication accuracy must meet regulatory specifications across all served population demographics.

Opportunity:

Voice biometric authentication growth

Expanding adoption of voice biometric authentication for telephone banking, call center identity verification, and mobile payment authorization represents a large and growing revenue opportunity for AI voice technology vendors serving financial services, government, and healthcare sectors, where secure customer authentication without physical token dependency creates significant operational efficiency gains. Voice biometric systems achieving sub-second speaker verification with fraud detection accuracy exceeding 99 percent are displacing knowledge-based authentication questions and out-of-wallet verification processes that generate high customer abandonment rates while providing weaker security against social engineering attacks targeting call center agents.

Threat:

Synthetic voice deepfake risk

Rapid advancement of AI voice cloning and synthetic speech generation technology, enabling convincing voice deepfake creation with minimal sample audio, is creating serious security vulnerabilities for voice biometric authentication systems and telephone-based identity verification processes that voice AI platform vendors must address through liveness detection and audio artifact analysis capabilities that add complexity and cost to deployed solutions. High-profile social engineering attacks using synthetic voice deepfakes to impersonate executives and deceive financial transfer authorizations are generating regulatory scrutiny of voice authentication reliability that creates compliance uncertainty, affecting enterprise voice biometric procurement decisions.

Covid-19 Impact:

The pandemic created unprecedented demand for voice AI automation as contact center operators managing massive call volume surges with reduced on-site staffing rapidly deployed conversational AI to handle routine customer inquiries. Remote work transition drove substantial VoIP infrastructure investment, replacing on-premises PBX systems with cloud-based unified communications platforms. Post-pandemic, permanent hybrid work infrastructure and sustained interest in AI-powered customer service automation are maintaining strong investment in voice technology platforms, with generative AI capabilities significantly expanding the complexity of conversations that voice AI systems can handle autonomously.

The services segment is expected to be the largest during the forecast period

The services segment is expected to account for the largest market share during the forecast period, due to the premium recurring value of AI voice platform integration services, conversational model customization, and ongoing managed services for continuous model improvement that represent higher lifetime revenue than one-time voice software license sales. Enterprise customers deploying AI voice automation for contact center operations require extensive professional services to train custom language models for domain-specific vocabulary, integrate voice platforms with existing CRM and telephony infrastructure, and continuously refine conversation flow designs based on call analytics. Managed voice AI services with SLA-backed performance guarantees generate substantial recurring contract revenue.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate, driven by the adoption of cloud-native voice AI platforms that eliminate upfront infrastructure investment and enable rapid deployment of conversational AI capabilities across enterprise contact centers and unified communications environments. Cloud voice AI platforms supporting elastic scaling for peak contact center volume periods, continuous model updates leveraging aggregated customer interaction data, and consumption-based pricing accessible to mid-market organizations are democratizing enterprise voice AI adoption beyond large corporations. Hyperscaler voice AI services from AWS, Google, and Microsoft are accelerating cloud deployment through integrated developer ecosystems.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the world's highest concentration of enterprise contact center operations, leading voice AI technology companies, and most mature AI voice platform adoption across financial services, healthcare, and telecommunications sectors. The United States hosts major voice AI platform providers, including Nuance Communications, Amazon, Google, and numerous contact center AI specialists. Large enterprise call center outsourcing industry concentration in North America generates substantial procurement volumes for AI voice automation platforms targeting cost reduction and customer experience improvement.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to the massive scale of contact center operations across India, the Philippines, and China serving global enterprise customers, combined with rapidly expanding domestic AI investment creating large voice AI deployment programs. India's position as the world's largest contact center services provider is driving systematic deployment of AI voice automation to maintain cost competitiveness as labor costs increase. China's domestic AI voice technology ecosystem, led by Baidu, Alibaba, and iFlytek is generating large-scale domestic deployment across government services and financial institutions.

Key players in the market

Some of the key players in Voice Tech (VoIP AI) Market include Cisco Systems Inc., Microsoft Corporation, Google LLC, Amazon Web Services Inc., Avaya Inc., 8x8 Inc., RingCentral Inc., Zoom Video Communications Inc., Genesys Telecommunications, Nuance Communications Inc., Twilio Inc., Vonage Holdings Corp., Mitel Networks Corporation, Oracle Corporation, IBM Corporation, Alcatel-Lucent Enterprise, and Dialpad Inc.

Key Developments:

In April 2026, Uniphore Technologies Inc. announced a major enterprise deployment of conversational AI automation across a global financial institution contact center handling millions of customer voice interactions monthly.

In February 2026, NICE Systems Ltd. introduced an AI-powered real-time agent guidance platform using voice analytics to deliver live coaching recommendations during customer calls, reducing average handle time significantly.

In January 2026, Nuance Communications Inc. expanded its Dragon Ambient eXperience AI voice documentation platform into new clinical specialties, enabling hands-free patient encounter documentation across hospital outpatient departments.

Components Covered:

  • Solutions
  • Services

Deployments Covered:

  • Cloud-Based
  • On-Premises

Applications Covered:

  • Customer Support
  • Call Centers
  • Personal Assistants
  • Fraud Detection

End Users Covered:

  • Enterprises
  • Telecom Providers
  • SMEs
  • BFSI
  • Retail
  • Healthcare
  • IT & Telecom

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Voice Tech (VoIP AI) Market, By Component

  • 5.1 Solutions
    • 5.1.1 Voice Assistants
    • 5.1.2 Speech Analytics
    • 5.1.3 Voice Biometrics
  • 5.2 Services
    • 5.2.1 Integration
    • 5.2.2 Consulting
    • 5.2.3 Support

6 Global Voice Tech (VoIP AI) Market, By Deployment

  • 6.1 Cloud-Based
  • 6.2 On-Premises

7 Global Voice Tech (VoIP AI) Market, By Application

  • 7.1 Customer Support
  • 7.2 Call Centers
  • 7.3 Personal Assistants
  • 7.4 Fraud Detection

8 Global Voice Tech (VoIP AI) Market, By End User

  • 8.1 Enterprises
  • 8.2 Telecom Providers
  • 8.3 SMEs
  • 8.4 BFSI
  • 8.5 Retail
  • 8.6 Healthcare
  • 8.7 IT & Telecom

9 Global Voice Tech (VoIP AI) Market, By Geography

  • 9.1 North America
    • 9.1.1 United States
    • 9.1.2 Canada
    • 9.1.3 Mexico
  • 9.2 Europe
    • 9.2.1 United Kingdom
    • 9.2.2 Germany
    • 9.2.3 France
    • 9.2.4 Italy
    • 9.2.5 Spain
    • 9.2.6 Netherlands
    • 9.2.7 Belgium
    • 9.2.8 Sweden
    • 9.2.9 Switzerland
    • 9.2.10 Poland
    • 9.2.11 Rest of Europe
  • 9.3 Asia Pacific
    • 9.3.1 China
    • 9.3.2 Japan
    • 9.3.3 India
    • 9.3.4 South Korea
    • 9.3.5 Australia
    • 9.3.6 Indonesia
    • 9.3.7 Thailand
    • 9.3.8 Malaysia
    • 9.3.9 Singapore
    • 9.3.10 Vietnam
    • 9.3.11 Rest of Asia Pacific
  • 9.4 South America
    • 9.4.1 Brazil
    • 9.4.2 Argentina
    • 9.4.3 Colombia
    • 9.4.4 Chile
    • 9.4.5 Peru
    • 9.4.6 Rest of South America
  • 9.5 Rest of the World (RoW)
    • 9.5.1 Middle East
      • 9.5.1.1 Saudi Arabia
      • 9.5.1.2 United Arab Emirates
      • 9.5.1.3 Qatar
      • 9.5.1.4 Israel
      • 9.5.1.5 Rest of Middle East
    • 9.5.2 Africa
      • 9.5.2.1 South Africa
      • 9.5.2.2 Egypt
      • 9.5.2.3 Morocco
      • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

  • 10.1 Industry Value Network and Supply Chain Assessment
  • 10.2 White-Space and Opportunity Mapping
  • 10.3 Product Evolution and Market Life Cycle Analysis
  • 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

  • 11.1 Mergers and Acquisitions
  • 11.2 Partnerships, Alliances, and Joint Ventures
  • 11.3 New Product Launches and Certifications
  • 11.4 Capacity Expansion and Investments
  • 11.5 Other Strategic Initiatives

12 Company Profiles

  • 12.1 Cisco Systems Inc.
  • 12.2 Microsoft Corporation
  • 12.3 Google LLC
  • 12.4 Amazon Web Services Inc.
  • 12.5 Avaya Inc.
  • 12.6 8x8 Inc.
  • 12.7 RingCentral Inc.
  • 12.8 Zoom Video Communications Inc.
  • 12.9 Genesys Telecommunications
  • 12.10 Nuance Communications Inc.
  • 12.11 Twilio Inc.
  • 12.12 Vonage Holdings Corp.
  • 12.13 Mitel Networks Corporation
  • 12.14 Oracle Corporation
  • 12.15 IBM Corporation
  • 12.16 Alcatel-Lucent Enterprise
  • 12.17 Dialpad Inc.

List of Tables

  • Table 1 Global Voice Tech (VoIP AI) Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Voice Tech (VoIP AI) Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Voice Tech (VoIP AI) Market Outlook, By Solutions (2023-2034) ($MN)
  • Table 4 Global Voice Tech (VoIP AI) Market Outlook, By Voice Assistants (2023-2034) ($MN)
  • Table 5 Global Voice Tech (VoIP AI) Market Outlook, By Speech Analytics (2023-2034) ($MN)
  • Table 6 Global Voice Tech (VoIP AI) Market Outlook, By Voice Biometrics (2023-2034) ($MN)
  • Table 7 Global Voice Tech (VoIP AI) Market Outlook, By Services (2023-2034) ($MN)
  • Table 8 Global Voice Tech (VoIP AI) Market Outlook, By Integration (2023-2034) ($MN)
  • Table 9 Global Voice Tech (VoIP AI) Market Outlook, By Consulting (2023-2034) ($MN)
  • Table 10 Global Voice Tech (VoIP AI) Market Outlook, By Support (2023-2034) ($MN)
  • Table 11 Global Voice Tech (VoIP AI) Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 12 Global Voice Tech (VoIP AI) Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 13 Global Voice Tech (VoIP AI) Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 14 Global Voice Tech (VoIP AI) Market Outlook, By Application (2023-2034) ($MN)
  • Table 15 Global Voice Tech (VoIP AI) Market Outlook, By Customer Support (2023-2034) ($MN)
  • Table 16 Global Voice Tech (VoIP AI) Market Outlook, By Call Centers (2023-2034) ($MN)
  • Table 17 Global Voice Tech (VoIP AI) Market Outlook, By Personal Assistants (2023-2034) ($MN)
  • Table 18 Global Voice Tech (VoIP AI) Market Outlook, By Fraud Detection (2023-2034) ($MN)
  • Table 19 Global Voice Tech (VoIP AI) Market Outlook, By End User (2023-2034) ($MN)
  • Table 20 Global Voice Tech (VoIP AI) Market Outlook, By Enterprises (2023-2034) ($MN)
  • Table 21 Global Voice Tech (VoIP AI) Market Outlook, By Telecom Providers (2023-2034) ($MN)
  • Table 22 Global Voice Tech (VoIP AI) Market Outlook, By SMEs (2023-2034) ($MN)
  • Table 23 Global Voice Tech (VoIP AI) Market Outlook, By BFSI (2023-2034) ($MN)
  • Table 24 Global Voice Tech (VoIP AI) Market Outlook, By Retail (2023-2034) ($MN)
  • Table 25 Global Voice Tech (VoIP AI) Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 26 Global Voice Tech (VoIP AI) Market Outlook, By IT & Telecom (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.