Leading Technologies are Machine Learning, Deep Learning, NLP, and Automated Speech Recognition

DUBLIN, Aug. 19, 2022 /PRNewswire/ — The “Conversational Artificial Intelligence (AI) and Voice Cloning Market: Next Generation Enterprise Solutions by Use Case, Application, and Industry Verticals 2020 – 2027” report has been added to ResearchAndMarkets.com’s offering.

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This report evaluates the market drivers and use cases for conversational AI and voice cloning solutions to execute various business functions such as CRM. The report analyzes the core technologies used to build conversational AI and voice cloning solutions along with the potential application areas across industry verticals.

The report provides an analysis of leading company strategies, capabilities, and offerings. Forecasts include technologies, solutions, services, applications, tools, and platforms from 2022 to 2027. It also provides forecasts by deployment type, business type (enterprise, SMB, government), industry vertical, and specific applications.

Select Report Findings:

  • The conversational AI platform market will reach $13.2 billion by 2027

  • North America will lead the market, followed by Europe and the Asia Pacific region

  • 36% of enterprises will shift their customer support function entirely to virtual assistants by 2027

  • Leading technologies are machine learning, deep learning, NLP, and automated speech recognition

  • Call centers are evolving to become AI-enabled customer contact service providers for enterprise services

  • Enterprise services companies are increasingly leveraging AI for CRM as well as inbound and outbound marketing and sales operations

Traditional peer-to-peer communication systems consisting of emails, phone calls, text messages, and face to face meetings have been hugely disrupted with the widespread adoption of next-generation platforms such as social media, messaging apps, and voice-based assistants.

This has triggered a major paradigm shift in customer behavior to prefer these alternative communications platforms, providing omnichannel experience regardless of devices. Not surprisingly, younger people are at the tip of the spear of the adoption curve for text but also voice, video, and image sharing.

For additional market segments, a shift occurs in terms of customers’ business engagement expectations when they realize they may engage over their favorite chat platform using text, voice, and video communications. Conversational AI plays a profound role here, automatically communicating with customers as if a real human being, but in actuality an authentically human-sounding, AI-powered bot.

Conversational AI leverages natural language, machine learning, and other technologies to help omnichannel engagement platforms better understand and interact with customers, providing automated and personalized experiences across any channel including web, applications, mobile, and other platforms. Businesses can leverage opportunities to automate customer service operations as well as marketing and sales initiatives.

Businesses are beginning to integrate conversational AI through voice assistants, chatbots, and messaging apps. We expect that 36% of enterprises will shift their customer support function entirely to virtual assistants by 2027. This prediction is supported by our findings that indicate most customers prefer to shop with business through chat applications. This represents a massive shift from five years ago.

Whereas conversational AI merely sounds like an actual human, voice cloning mimics a known person’s voice that is distinguishable as someone that a person would believe is the real person that they know. Like basic conversational AI, it may be used with various applications and industry verticals, particularly retail and other consumer services-oriented business areas.

With voice cloning, businesses can introduce a customer familiar voice to build a long-term relationship and ensure a better customer experience. Voice cloning models are trained through some data set, typically within only a few hours of recorded speech. It also leverages AI and machine learning technologies to train models so that it can engage in natural-sounding, real-time conversations with customers.

In addition to shifting customer behaviors and expectations, there are some other factors that drive enterprises and contact service providers towards leveraging conversational AI and voice cloning solutions. Some of the factors include saving time for customer service, improving real-time accessibility, increasing efficiency, reducing customer acquisition costs, building long-term relationships, handling customer queries effectively, and reducing customer complaints.

Pandemic mitigation is expected to add a significant growth factor to the conversational AI and voice cloning market as businesses seek to automate operations and enhance worker safety as well as support governmental rules and regulations. As social distancing, remote work and operation, and massive digitization continue to grow, businesses will be more reliant on providing remote services to customers.

Key Topics Covered:

1.0 Executive Summary

2.0 Introduction
2.1 Conversational AI
2.1.1 What is Conversational AI
2.1.2 Conversational AI Architecture
2.1.3 Core Challenges
2.1.4 Core Principles
2.1.5 Technology Component
2.1.6 Conversational AI and Chatbot
2.1.7 Automatic Speech Recognition
2.1.8 Growth Drivers
2.2 Voice Cloning
2.2.1 What is Voice Cloning
2.2.2 Voice Cloning Architecture
2.2.3 AI Voice Cloning
2.2.4 Voice Anti-Spoofing and Fraud Detection
2.2.5 Core Challenges
2.2.6 Growth Drivers
2.3 Building Conversational AI and Voice Cloning Solutions
2.4 AI-Enabled Personalization
2.5 Enterprise and Customer Benefits
2.6 Artificial General Intelligence
2.7 Artificial Super Intelligence
2.8 Market Drivers and Challenges
2.9 Value Chain
2.9.1 AI Companies
2.9.2 Software/Platform Companies
2.9.3 Analytics Providers
2.9.4 IoT Companies
2.9.5 Connectivity Providers
2.9.6 Enterprises and End Users
2.10 Regulatory Implications
2.11 Pandemic Impact

3.0 Technology and Application Analysis
3.1 Conversational AI and Voice Cloning Technology
3.1.1 Machine Learning and Deep Learning
3.1.2 Natural Language Processing
3.1.3 Automatic Speech Recognition
3.1.4 Computer Vision
3.2 Conversational AI and Voice Cloning Application
3.2.1 Chatbots
3.2.2 Intelligent Voice Assistants (IVA) System
3.2.3 Accessibility/Messaging Application
3.2.4 Digital Games
3.2.5 Interactive Learning Application
3.3 Conversational AI and Voice Cloning Functions
3.3.1 Customer Support
3.3.2 Personal Assistant
3.3.3 Branding and Advertising
3.3.4 Customer Engagement and Retention
3.3.5 Employee Engagement and Onboarding
3.3.6 Data Privacy and Compliance
3.3.7 Campaign Analysis and Data Aggregation
3.4 Conversational AI and Voice Cloning Use Cases
3.4.1 Healthcare and Life Science
3.4.2 Education
3.4.3 Telecom, IT, and Internet
3.4.4 Bank and Financial Institution
3.4.5 Travel and Hospitality/Tourism
3.4.6 Media and Entertainment
3.4.7 Energy and Utilities
3.4.8 Government and Defense
3.4.9 Retail and E-commerce
3.4.10 Manufacturing
3.4.11 Automotive
3.5 Cloud Deployment and Enterprise AI Adoption
3.6 Software Platform and Tools
3.7 5G Deployment and Edge Computing
3.8 Smart Workplace and Service Automation
3.9 Public Safety and Governments
3.10 Ethical Implications
3.11 Social Scam, Theft, and Call Fraud
3.12 Augmented Reality and RCS Messaging
3.13 Multilingualism
3.14 M2M Communications

4.0 Company Analysis
4.1 Acapella Group
4.2 Alt Inc.
4.3 Amazon
4.4 Aristech GmbH
4.5 Artificial Solutions
4.6 AT&T
4.7 Avaamo
4.8 AmplifyReach
4.9 Baidu
4.10 CandyVoice
4.11 Cepstral
4.12 CereProc
4.13 Conversica
4.14 Creative Virtual
4.15 Cognify
4.16 Clinc
4.17 Descript Inc.
4.18 exClone
4.19 Exceed.ai
4.20 Facebook
4.21 FIS
4.22 Google
4.23 Haptic
4.24 IBM
4.25 Inbenta
4.26 iSpeech
4.27 Interactions
4.28 Kata.ai
4.29 Korea.ai
4.30 Casisto (KAI)
4.31 LumenVox
4.32 Lyrebird
4.33 Microsoft
4.34 Mindsay
4.35 ReadSpeaker (rSpeak)
4.36 Nuance Communications
4.37 Oracle
4.38 Pipestream
4.39 Quosphere
4.40 Rasa
4.41 Rulai
4.42 Resemble AI
4.43 Saarthi.ai
4.44 SAP
4.45 Smartbox Assistive Technology
4.46 Solvvy
4.47 SoundHound
4.48 VivoTek
4.49 VocaliD
4.50 Voctro Labs
4.51 Voicery

5.0 Conversational AI and Voice Cloning Market Analysis and Forecasts
5.1 Global Conversational AI and Voice Cloning Market 2022 – 2027
5.1.1 Combined Conversational AI and Voice Cloning Market 2022 – 2027
5.1.2 Conversational AI vs. Voice Cloning Markets 2022 – 2027
5.1.3 Conversational AI and Voice Cloning Market by Solutions and Services 2022 – 2027 Conversational AI and Voice Cloning Market by Tools and Platforms 2022 – 2027 Conversational AI and Voice Cloning Market by Service Type 2022 – 2027 Conversational AI and Voice Cloning Market by Professional Services 2022 – 2027
5.1.4 Conversational AI and Voice Cloning Market by Technology 2022 – 2027
5.1.5 Conversational AI and Voice Cloning Market by Application Type 2022 – 2027
5.1.6 Conversational AI and Voice Cloning Market by Application 2022 – 2027
5.1.7 Conversational AI and Voice Cloning Market by Deployment 2022 – 2027
5.1.8 Conversational AI and Voice Cloning Market by Business Type 2022 – 2027
5.1.9 Conversational AI and Voice Cloning Market by Industry Vertical 2022 – 2027
5.2 Regional Conversational AI and Voice Cloning Market 2022 – 2027

6.0 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/r/dw0va7

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