A newly released Voice Assistance Application Market analysis report by Future Market Insights shows that global sales of the Voice Assistance Application Market in 2021 were held at US$ 2.8 Billion. With 18.5% projected growth from 2022 to 2032, the market is expected to reach a valuation of US$ 20.2 Billion by 2032. Voice Assistance Application Solutions is expected to be the highest revenue-generating category, projected to register a CAGR of 16.5% from 2022 to 2032.
| Attributes | Details |
|---|---|
| Global Voice Assistance Application Market Size (2022) | US$ 3.7 Billion |
| Global Voice Assistance Application Market Size (2032) | US$ 20.2 Billion |
| Global Voice Assistance Application Market CAGR (2022 to 2032) | 18.5% |
| USA Voice Assistance Application Market Size (2032) | US$ 7.2 Billion |
| USA Voice Assistance Application Market CAGR (2022 to 2032) | 18.2% |
| Key Companies Covered |
|
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As per the Voice Assistance Application Market research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2015 to 2021, the market value of the Voice Assistance Application Market increased by around 32% CAGR.
Voice Assistance Application uses speech recognition technology, voice commands, and computational linguistics to help users with a variety of tasks in their homes, automobiles, educational institutions, healthcare services, and telecommunication settings. Increased market demand for voice assistant apps has stemmed from the growing usage of the Internet of Things including linked devices. AI, language processing, robotic support, and pattern recognition have all advanced owing to technological developments, lower technology costs, and the capacity to improve existing business processes.
Cerence ARK Assistance, a modern turnkey automotive voice-enabled assistant in USA English, was presented by Cerence Inc. This new solution is based on Cerence's speech and AI technologies, and it builds on the company's first off-the-shelf assistance for the Chinese market, which was released late last year. Terence intends to provide the solution in a variety of languages.
Terence ARK Assistant enables OEMs to swiftly design, implement, and maintain an automotive digital assistant. It is a turnkey solution that blends in-car technology with cloud assistance to support automakers speed up the development of voice assistants. Terence ARK Assistant meets a unique market demand by merging decades of development, knowledge, as well as service into a ready-to-use assistant for mainstream automobiles.
The voice assistant applications market is projected to grow significantly as computational linguistics and robotic speech-based technologies progress. Voice Assistants aid in the interpretation of natural language and may assist with tasks such as scheduling meetings, providing sports scores, and sharing weather forecasts. The surging widespread use of smartphones, along with the growing need for advanced assistive devices, will provide significant development potential for such voice assistant applications.
Saykara has released Kara 2.0, the AI-powered medical assistant that makes data gathering for doctors easier. Kara 2.0, which includes Ambient Mode, is an AI-powered voice software for a healthcare system that allows doctors and patients to interact as usual while Saykara needs to listen, transcribe to the message, decode text into structured information, and intelligently fulfills each structure in a patient's electronic medical record.
Saykara then creates a clinic note that includes the patient's medical history, physical examination, evaluation, plan, orders, as well as recommendations. Saykara seems to be the only digital medical assistant which can be utilized passively 'inside the room' throughout physician-patient consultations with no vocal instructions, owing to the debut of Ambient Mode. Ambient Mode expands Saykara's diversity and agnostic capabilities, providing it to improve up to 18 different healthcare disciplines, such as primary care, pediatrics, internal medicine, orthopedics, and urology, among others.
Principal Consultant
The voice assistant is built on natural language processing technology, which allows for easier interaction between gadgets and humans while also resolving inquiries in real time. Voice assistants aid call centers in obtaining information about consumers' opinions, interests, and purchasing habits. The data is processed using voice assistant technology, allowing businesses to offer consumers with a more customized experience and proactive product and service suggestions.
Oracle officially released a new version of Oracle Digital Assistant, which includes an AI-trained voice. With this the consumers can interface with their corporate apps using voice control to drive specific actions and outcomes, enhancing the overall consumer experience through conversational AI, automating interactions, and increasing productivity. Oracle Digital Assistance uses AI using semantically processing for natural language processing, and natural language understanding, including bespoke machine learning algorithms, and therefore, is built on Oracle's upcoming infrastructure. This combination enables Oracle Digital Assistant to deduce purpose from a user's natural dialogue, build compositional logical forms, and recognize and recall user behavioral traits in order to take prompt measures on the user's behalf. Oracle Digital Assistant is a no-code method that enables businesses to create conversational interactions. It can also interface with human agent workflows and business operations without requiring any coding.
North America dominates the global voice assistant applications market. Smart speakers are used by over 20% of individuals in the USA. The country uses voice-enabled PCs, cell phones, and other devices. Furthermore, the growing popularity and acceptance of voice-first technology, along with a well-established framework that enables greater penetration of devices that deliver high-speed internet, is likely to boost regional growth in the coming years.
Avaya, a provider of communication and collaborative technologies, has revised its advertising architecture to bring its entire portfolio under the Avaya OneCloud banner. The company's multi-cloud applications platform and its speed in bringing innovative solutions to market, providing the potential for employee and customer engagement, are reflected in the new identity.
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The USA is expected to have the highest market of US$ 7.2 Billion by the end of 2032. CTIntegrations, a specialist contact center technology development and system integration firm located in Texas, is acquired by Avaya, a provider of solutions that improve and automate communication and collaboration. Avaya's large contact center client base will benefit from CTIntegrations' expanded digital capabilities, which will be added to the Avaya OneCloud artificial intelligence experience platform. CTIntegrations, the firm powering CT Suite and its connections have long been a member of the Avaya DevConnect provider network, offering comprehensive knowledge of the Avaya OneCloud system as well as a grasp of its clients' changing demands. CT Suite technologies that interact with Avaya contact centers are available to many current Avaya customers.
The Voice Assistant Application Solution segment is forecasted to grow at the highest CAGR of over 16.5% from 2022 to 2032. Voice assistant application solutions are able to comprehend the context and feelings of a conversation, allowing them to effortlessly interface with back-end information and third-party systems to provide deeper personalization. The global usage of voice-enabled application solutions is driven by the increased requirement for consumer involvement across numerous channels.
Amazon has added a new speech option for Alexa-enabled devices and speakers. Unlike Alexa, who has a woman voice, Echo speakers now have a new masculine-sounding audio option called Ziggy. Likewise, instead of using current prefixes like Alexa, Computer, Echo, or Amazon, people may use a new Ziggy wake-up keyword to activate Amazon's virtual assistant.
However, Amazon has yet to publicly announce the news, and the functionality is yet to be confined to a few locations. The Verge was able to modify the voice of Amazon's virtual assistant and utilize the new wakeup command Ziggy. All of the functions of the different Echo smart devices may remain the same if consumers switch to the male voice. The voice that responds to you, however, will have a slightly synthetic American accent.
The Cloud segment is forecasted to grow at the highest CAGR of over 15.1% from 2022 to 2032. Sensory, a company that develops artificial intelligence for cloud services, has announced the availability of a home appliance-specific model of its TrulyNatural voice recognition platform. Appliance makers can utilize the technology to integrate voice control into their products. Sensory speech processing, according to the company's news release, is done entirely on the gadget itself, rather than on the cloud.
Among the leading players in the global Voice Assistance Application market are Amazon Web Services., Apple Inc., Avaya Inc., Baidu, Inc., Cisco, Google, IBM Corporation, Microsoft Corporation, Nuance Communications, Oracle Corporation, Salesforce.com, Inc., Samsung, Google LLC, SAP, and Verbio Technologies.
Similarly, recent developments related to companies in Voice Assistance Application services have been tracked by the team at Future Market Insights, which are available in the full report.
The global Voice Assistance Application Market is worth more than US$ 2.8 Billion at present.
The value of the Voice Assistance Application Market is projected to increase at a CAGR of around 18.5% from 2022 to 2032.
The value of the Voice Assistance Application Market increased at a CAGR of around 32% from 2015 to 2021.
The adoption of smart homes and the rise of the gaming sector have motivated firms to provide better platforms to customers, boosting the usage of voice assistant apps.
The market for Voice Assistance Application Market in the USA is projected to expand at a CAGR of around 18.2% from 2022 to 2032.
1. Executive Summary | Voice Assistance Application Market
1.1. Global Market Outlook
1.2. Summary of Statistics
1.3. Key Market Characteristics & Attributes
1.4. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Risks and Trends Assessment
3.1. Risk Assessment
3.1.1. COVID-19 Crisis and Impact on Voice Assistant Application
3.1.2. COVID-19 Impact Benchmark with Previous Crisis
3.1.3. Impact on Market Value (US$ Million)
3.1.4. Assessment by Key Countries
3.1.5. Assessment by Key Market Segments
3.1.6. Action Points and Recommendation for Suppliers
3.2. Key Trends Impacting the Market
3.3. Formulation and Product Development Trends
4. Market Background
4.1. Market, by Key Countries
4.2. Market Opportunity Assessment (US$ Million)
4.2.1. Total Available Market
4.2.2. Serviceable Addressable Market
4.2.3. Serviceable Obtainable Market
4.3. Market Scenario Forecast
4.3.1. Demand in Optimistic Scenario
4.3.2. Demand in Likely Scenario
4.3.3. Demand in Conservative Scenario
4.4. Investment Feasibility Analysis
4.4.1. Investment in Established Markets
4.4.1.1. In Short Term
4.4.1.2. In Long Term
4.4.2. Investment in Emerging Markets
4.4.2.1. In Short Term
4.4.2.2. In Long Term
4.5. Forecast Factors - Relevance & Impact
4.5.1. Top Companies Historical Growth
4.5.2. Growth in Automation, By Country
4.5.3. Blockchain Adoption Rate, By Country
4.6. Market Dynamics
4.6.1. Market Driving Factors and Impact Assessment
4.6.2. Prominent Market Challenges and Impact Assessment
4.6.3. Market Opportunities
4.6.4. Prominent Trends in the Global Market & Their Impact Assessment
5. Key Success Factors
5.1. Manufacturers’ Focus on Low Penetration High Growth Markets
5.2. Banking on with Segments High Incremental Opportunity
5.3. Peer Benchmarking
6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032
6.1. Historical Market Analysis, 2015 to 2021
6.2. Current and Future Market Projections, 2022 to 2032
6.3. Y-o-Y Growth Trend Analysis
7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032
7.1. Historical Market Value (US$ Million) Analysis, 2015 to 2021
7.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032
7.2.1. Y-o-Y Growth Trend Analysis
7.2.2. Absolute $ Opportunity Analysis
8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Component
8.1. Introduction / Key Findings
8.2. Historical Market Value (US$ Million) and Analysis By Component, 2015 to 2021
8.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Component, 2022 to 2032
8.3.1. Solutions
8.3.1.1. Standalone
8.3.1.2. Integrated
8.3.2. Services
8.3.2.1. Consulting
8.3.2.2. Implementation
8.3.2.3. Support and maintenance
8.4. Market Attractiveness Analysis By Component
9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Deployment Mode
9.1. Introduction / Key Findings
9.2. Historical Market Value (US$ Million) and Analysis By Deployment Mode, 2015 to 2021
9.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Deployment Mode, 2022 to 2032
9.3.1. On-premises
9.3.2. Cloud
9.4. Market Attractiveness Analysis By Deployment Mode
10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Organization Size
10.1. Introduction / Key Findings
10.2. Historical Market Value (US$ Million) and AnalysisBy Organization Size, 2015 to 2021
10.3. Current and Future Market Value (US$ Million) and Analysis and ForecastBy Organization Size, 2022 to 2032
10.3.1. Small and Medium-sized Enterprises (SMEs)
10.3.2. Large Enterprises
10.4. Market Attractiveness AnalysisBy Organization Size
11. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Channel Integration
11.1. Introduction / Key Findings
11.2. Historical Market Value (US$ Million) and Analysis By Channel Integration, 2015 to 2021
11.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Channel Integration, 2022 to 2032
11.3.1. Websites
11.3.2. Mobile Applications
11.3.3. Contact Centers
11.3.4. Smart Speakers
11.3.5. Social Media
11.4. Market Attractiveness Analysis By Channel Integration
12. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Application Area
12.1. Introduction / Key Findings
12.2. Historical Market Value (US$ Million) and Analysis By Application Area, 2015 to 2021
12.3. Current and Future Market Value (US$ Million) and Analysis and Forecast By Application Area, 2022 to 2032
12.3.1. Smart Retail and eCommerce
12.3.2. Smart Banking
12.3.3. Connected Healthcare
12.3.4. Smart Transportation
12.3.5. Smart Manufacturing
12.3.6. Smart Learning
12.3.7. Others
12.4. Market Attractiveness Analysis By Application Area
13. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region
13.1. Introduction
13.2. Historical Market Value (US$ Million) and Analysis By Region, 2015 to 2021
13.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032
13.3.1. North America
13.3.2. Latin America
13.3.3. Europe
13.3.4. Asia Pacific
13.3.5. Middle East and Africa (MEA)
13.4. Market Attractiveness Analysis By Region
14. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
14.1. Introduction
14.2. Pricing Analysis
14.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
14.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
14.4.1. By Country
14.4.1.1. United States of America
14.4.1.2. Canada
14.4.1.3. Rest of North America
14.4.2. By Organization Size
14.4.3. By Component
14.4.4. By Deployment Mode
14.4.5. By Channel Integration
14.4.6. By Application Area
14.5. Market Attractiveness Analysis
14.5.1. By Country
14.5.2. By Organization Size
14.5.3. By Component
14.5.4. By Deployment Mode
14.5.5. By Channel Integration
14.5.6. By Application Area
15. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032
15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
15.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
15.4.1. By Country
15.4.1.1. Brazil
15.4.1.2. Mexico
15.4.1.3. Rest of Latin America
15.4.2. By Organization Size
15.4.3. By Component
15.4.4. By Deployment Mode
15.4.5. By Channel Integration
15.4.6. By Application Area
15.5. Market Attractiveness Analysis
15.5.1. By Country
15.5.2. By Organization Size
15.5.3. By Component
15.5.4. By Deployment Mode
15.5.5. By Channel Integration
15.5.6. By Application Area
16. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032
16.1. Introduction
16.2. Pricing Analysis
16.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
16.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
16.4.1. By Country
16.4.1.1. Germany
16.4.1.2. France
16.4.1.3. United Kingdom
16.4.1.4. Italy
16.4.1.5. Russia
16.4.1.6. Rest of Europe
16.4.2. By Organization Size
16.4.3. By Component
16.4.4. By Deployment Mode
16.4.5. By Channel Integration
16.4.6. By Application Area
16.5. Market Attractiveness Analysis
16.5.1. By Country
16.5.2. By Organization Size
16.5.3. By Component
16.5.4. By Deployment Mode
16.5.5. By Channel Integration
16.5.6. By Application Area
17. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032
17.1. Introduction
17.2. Pricing Analysis
17.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
17.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
17.4.1. By Country
17.4.1.1. China
17.4.1.2. Japan
17.4.1.3. South Korea
17.4.1.4. Rest of Asia Pacific
17.4.2. By Organization Size
17.4.3. By Component
17.4.4. By Deployment Mode
17.4.5. By Channel Integration
17.4.6. By Application Area
17.5. Market Attractiveness Analysis
17.5.1. By Country
17.5.2. By Organization Size
17.5.3. By Component
17.5.4. By Deployment Mode
17.5.5. By Channel Integration
17.5.6. By Application Area
18. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032
18.1. Introduction
18.2. Pricing Analysis
18.3. Historical Market Value (US$ Million) and Trend Analysis By Market Taxonomy, 2015 to 2021
18.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032
18.4.1. By Country
18.4.1.1. GCC Countries
18.4.1.2. South Africa
18.4.1.3. Turkey
18.4.1.4. Rest of Middle East and Africa
18.4.2. By Organization Size
18.4.3. By Component
18.4.4. By Deployment Mode
18.4.5. By Channel Integration
18.4.6. By Application Area
18.5. Market Attractiveness Analysis
18.5.1. By Country
18.5.2. By Organization Size
18.5.3. By Component
18.5.4. By Deployment Mode
18.5.5. By Channel Integration
18.5.6. By Application Area
19. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032
19.1. Introduction
19.1.1. Market Value Proportion Analysis, By Key Countries
19.1.2. Global Vs. Country Growth Comparison
19.2. US Market Analysis
19.2.1. Value Proportion Analysis by Market Taxonomy
19.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.2.2.1. By Organization Size
19.2.2.2. By Component
19.2.2.3. By Deployment Mode
19.2.2.4. By Channel Integration
19.2.2.5. By Application Area
19.3. Canada Market Analysis
19.3.1. Value Proportion Analysis by Market Taxonomy
19.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.3.2.1. By Organization Size
19.3.2.2. By Component
19.3.2.3. By Deployment Mode
19.3.2.4. By Channel Integration
19.3.2.5. By Application Area
19.4. Mexico Market Analysis
19.4.1. Value Proportion Analysis by Market Taxonomy
19.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.4.2.1. By Organization Size
19.4.2.2. By Component
19.4.2.3. By Deployment Mode
19.4.2.4. By Channel Integration
19.4.2.5. By Application Area
19.5. Brazil Market Analysis
19.5.1. Value Proportion Analysis by Market Taxonomy
19.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.5.2.1. By Organization Size
19.5.2.2. By Component
19.5.2.3. By Deployment Mode
19.5.2.4. By Channel Integration
19.5.2.5. By Application Area
19.6. Germany Market Analysis
19.6.1. Value Proportion Analysis by Market Taxonomy
19.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.6.2.1. By Organization Size
19.6.2.2. By Component
19.6.2.3. By Deployment Mode
19.6.2.4. By Channel Integration
19.6.2.5. By Application Area
19.7. France Market Analysis
19.7.1. Value Proportion Analysis by Market Taxonomy
19.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.7.2.1. By Organization Size
19.7.2.2. By Component
19.7.2.3. By Deployment Mode
19.7.2.4. By Channel Integration
19.7.2.5. By Application Area
19.8. Italy Market Analysis
19.8.1. Value Proportion Analysis by Market Taxonomy
19.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.8.2.1. By Organization Size
19.8.2.2. By Component
19.8.2.3. By Deployment Mode
19.8.2.4. By Channel Integration
19.8.2.5. By Application Area
19.9. Russia Market Analysis
19.9.1. Value Proportion Analysis by Market Taxonomy
19.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.9.2.1. By Organization Size
19.9.2.2. By Component
19.9.2.3. By Deployment Mode
19.9.2.4. By Channel Integration
19.9.2.5. By Application Area
19.10. United Kingdom Market Analysis
19.10.1. Value Proportion Analysis by Market Taxonomy
19.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.10.2.1. By Organization Size
19.10.2.2. By Component
19.10.2.3. By Deployment Mode
19.10.2.4. By Channel Integration
19.10.2.5. By Application Area
19.11. China Market Analysis
19.11.1. Value Proportion Analysis by Market Taxonomy
19.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.11.2.1. By Organization Size
19.11.2.2. By Component
19.11.2.3. By Deployment Mode
19.11.2.4. By Channel Integration
19.11.2.5. By Application Area
19.12. Japan Market Analysis
19.12.1. Value Proportion Analysis by Market Taxonomy
19.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.12.2.1. By Organization Size
19.12.2.2. By Component
19.12.2.3. By Deployment Mode
19.12.2.4. By Channel Integration
19.12.2.5. By Application Area
19.13. South Korea Market Analysis
19.13.1. Value Proportion Analysis by Market Taxonomy
19.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.13.2.1. By Organization Size
19.13.2.2. By Component
19.13.2.3. By Deployment Mode
19.13.2.4. By Channel Integration
19.13.2.5. By Application Area
19.14. GCC Countries Market Analysis
19.14.1. Value Proportion Analysis by Market Taxonomy
19.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.14.2.1. By Organization Size
19.14.2.2. By Component
19.14.2.3. By Deployment Mode
19.14.2.4. By Channel Integration
19.14.2.5. By Application Area
19.15. South Africa Market Analysis
19.15.1. Value Proportion Analysis by Market Taxonomy
19.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.15.2.1. By Organization Size
19.15.2.2. By Component
19.15.2.3. By Deployment Mode
19.15.2.4. By Channel Integration
19.15.2.5. By Application Area
19.16. Turkey Market Analysis
19.16.1. Value Proportion Analysis by Market Taxonomy
19.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015 to 2032
19.16.2.1. By Organization Size
19.16.2.2. By Component
19.16.2.3. By Deployment Mode
19.16.2.4. By Channel Integration
19.16.2.5. By Application Area
19.16.3. Competition Landscape and Player Concentration in the Country
20. Market Structure Analysis
20.1. Market Analysis by Tier of Companies
20.2. Market Concentration
20.3. Market Share Analysis of Top Players
20.4. Market Presence Analysis
20.4.1. By Regional Footprint of Players
20.4.2. Product Footprint by Players
21. Competition Analysis
21.1. Competition Dashboard
21.2. Competition Benchmarking
21.3. Competition Deep Dive
21.3.1. Aivo
21.3.1.1. Overview
21.3.1.2. Product Portfolio
21.3.1.3. Sales Footprint
21.3.1.4. Strategy Overview
21.3.2. AWS
21.3.2.1. Overview
21.3.2.2. Product Portfolio
21.3.2.3. Sales Footprint
21.3.2.4. Strategy Overview
21.3.3. Apple
21.3.3.1. Overview
21.3.3.2. Product Portfolio
21.3.3.3. Sales Footprint
21.3.3.4. Strategy Overview
21.3.4. Avaamo
21.3.4.1. Overview
21.3.4.2. Product Portfolio
21.3.4.3. Sales Footprint
21.3.4.4. Strategy Overview
21.3.5. Avaya
21.3.5.1. Overview
21.3.5.2. Product Portfolio
21.3.5.3. Sales Footprint
21.3.5.4. Strategy Overview
21.3.6. Baidu
21.3.6.1. Overview
21.3.6.2. Product Portfolio
21.3.6.3. Sales Footprint
21.3.6.4. Strategy Overview
21.3.7. Cisco
21.3.7.1. Overview
21.3.7.2. Product Portfolio
21.3.7.3. Sales Footprint
21.3.7.4. Strategy Overview
21.3.8. Google
21.3.8.1. Overview
21.3.8.2. Product Portfolio
21.3.8.3. Sales Footprint
21.3.8.4. Strategy Overview
21.3.9. Inbenta
21.3.9.1. Overview
21.3.9.2. Product Portfolio
21.3.9.3. Sales Footprint
21.3.9.4. Strategy Overview
21.3.10. Haptik
21.3.10.1. Overview
21.3.10.2. Product Portfolio
21.3.10.3. Sales Footprint
21.3.10.4. Strategy Overview
22. Assumptions and Acronyms Used
23. Research Methodology
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Voice Assistance Application Market
