Dublin, March 15, 2017 (GLOBE NEWSWIRE) -- Research and Markets has announced the addition of the "Virtual Digital Assistants: Virtual Agents, Chatbots and Virtual Assistants for Consumer and Enterprise Markets" report to their offering.

Consumer and Enterprise Adoption is Expanding to Include Multiple Access Modes Including Mobile Devices, Wearables, PCs, Smart Home, and Automobiles

Virtual digital assistants (VDAs), which are automated software applications or platforms that assist the human user through understanding natural language in written or spoken form, are rapidly gaining traction in consumer and enterprise markets alike. According to a new report, while smartphone-based consumer VDAs are currently the best-known offerings, virtual assistant technologies are also beginning to penetrate other device types including smart watches, fitness trackers, PCs, smart home systems, and automobiles.

The report forecasts that unique active consumer VDA users will grow from 390 million in 2015 to 1.8 billion worldwide by the end of 2021. During the same period, unique active enterprise VDA users will rise from 155 million in 2015 to 843 million by 2021. The market intelligence firm forecasts that total VDA revenue will grow from $1.6 billion in 2015 to $15.8 billion in 2021.

The consumer and enterprise use cases for virtual digital assistants are proliferating rapidly thanks to accelerated innovation and scalability of underlying technologies, such as natural language processing and artificial intelligence, says principal analyst Mark Beccue. Meanwhile, most of the world's technology giants believe VDAs will be vital to their businesses in the future, and they are investing significant resources to capture market share at this early stage.

The report, Virtual Digital Assistants, examines the global market opportunity for consumer and enterprise VDAs, providing market sizing and forecasts for active users and revenue for the period from 2015 through 2021. The report includes an analysis of market drivers and barriers, use cases, technology issues, and key industry players.

Key Topics Covered:

1. Executive Summary
1.1. Introduction
1.2. Market Drivers and Barriers
1.3. Market Observations
1.3.1. Enterprise VDAs
1.3.2. Consumer VDAs
1.4. Key Industry Players
1.5. Market Forecast
1.5.1. Overall Market Forecast
1.5.2. Enterprise User VDA Forecasts
1.5.3. Enterprise VDA Revenue Forecasts
1.5.4. Consumer VDA Forecasts

2. Market Issues
2.1. Introduction
2.1.1. Scope
2.2. Enterprise VDAs
2.2.1. Market Overview
2.2.2. Market Trends
2.2.3. Market Drivers
2.2.3.1. Cost Savings
2.2.3.2. Self Service
2.2.3.3. Customer Satisfaction
2.2.3.4. Revenue Generation
2.2.4. Market Barriers
2.2.4.1. Effectiveness
2.2.4.2. Development Cycles
2.2.4.3. Consumer Awareness
2.2.4.4. Integration
2.2.4.5. Cost of Multiple Language Capabilities
2.2.4.6. Authentication
2.2.5. Access
2.2.6. Competitive Landscape
2.2.7. Use Cases
2.2.7.1. Banking and Financial Services
2.2.7.2. Healthcare
2.2.7.3. Retail
2.2.7.4. Drive-through Food Ordering
2.3. Market Overview of Consumer VDAs
2.3.1. Market Overview
2.3.2. Market Trends
2.3.3. Market Drivers
2.3.3.1. Data Fatigue
2.3.3.2. Search Fatigue
2.3.3.3. Desire to Automate Tasks
2.3.3.4. Use Case Evolution
2.3.3.5. Improving Voice Recognition, NLP
2.3.3.6. Improving AI Builds Context
2.3.3.7. Consumer Expectations of Connected
Devices
2.3.4. Market Barriers
2.3.4.1. Speech Recognition Challenges
2.3.4.2. Understanding Language Context
2.3.4.3. User Context
2.3.4.4. Limited Developer Communities
2.3.5. Use Cases
2.3.5.1. Smart Home and the Internet of Things
2.3.5.2. Automobiles
2.3.6. Revenue Models

3. Technology Issues
3.1. Introduction: Underlying Technologies
3.2. Natural Language Processing
3.3. Artificial Intelligence
3.4. Voice and Speech Recognition
3.5. APIs and SDKs

4. Key Industry Players
4.1. Introduction
4.2. [24]7 Inc.
4.3. Amazon
4.4. Api.ai
4.5. Apple
4.6. Applied Voice & Speech Technologies
4.7. Artificial Solutions
4.8. Baidu
4.9. Botego
4.10. CodeBaby
4.11. CogniCor
4.12. Creative Virtual
4.13. CX Company
4.14. EasilyDo
4.15. Facebook
4.16. Google
4.17. IBM
4.18. Inbenta Technologies
4.19. Interactions
4.20. IPsoft
4.21. Ivee
4.22. Jibo
4.23. Living Actor (Cantoche)
4.24. Microsoft
4.25. MindMeld
4.26. Next IT
4.27. Nuance
4.28. Openstream
4.29. Samsung
4.30. Sensory
4.31. SmartAction
4.32. SoundHound
4.33. Synthetix
4.34. Talla
4.35. True Image Interactive
4.36. Viv
4.37. WDS (Xerox)
4.38. Witlingo
4.39. x.ai

5. Market Forecasts
5.1. Introduction
5.2. Forecast Methodology and Assumptions
5.3. Overall Market Forecast
5.4. Enterprise VDA Forecasts
5.4.1. Unique Active Enterprise VDA Users by Region
5.4.2. Unique Active Enterprise VDA Users by Businesses
With or Without Call Centers
5.4.3. Active Enterprise VDA Users by Device Type
5.4.4. Enterprise VDA Revenue
5.5. Consumer VDA Forecasts
5.5.1. Unique Active Consumer VDA Users by Region
5.5.2. Active Consumer VDA Users by Platform
5.5.2.1. Amazon
5.5.2.2. Apple
5.5.2.3. Google
5.5.2.4. Microsoft
5.5.2.5. Facebook
5.5.2.6. Baidu
5.5.2.7. All Other Platforms
5.5.3. Active Consumer VDA Users by Device Type
5.5.4. Consumer VDA Revenue by Region
5.5.5. Consumer VDA Revenue by Platform
5.5.5.1. Amazon
5.5.5.2. Apple
5.5.5.3. Google
5.5.5.4. Microsoft
5.5.5.5. Facebook
5.5.5.6. Baidu
5.6. Conclusions and Recommendations
5.6.1. Conclusions
5.6.2. Recommendations

6. Company Directory

7. Acronym and Abbreviation List

8. Table of Contents

9. Table of Charts and Figures

10. Scope of Study, Sources and Methodology, Notes

Companies Mentioned

- [24]7 Inc.
- Amazon
- Api.ai
- Apple
- Artificial Solutions
- Baidu
- Botego
- CX Company
- CodeBaby
- CogniCor
- Creative Virtual
- EasilyDo
- Facebook
- Google
- IBM
- IPsoft
- Inbenta Technologies
- Interactions
- Ivee
- Jibo
- Living Actor (Cantoche)
- Microsoft
- MindMeld
- Next IT
- Nuance
- Openstream
- Samsung
- Sensory
- SmartAction
- SoundHound
- Synthetix
- Talla
- True Image Interactive
- Viv
- WDS (Xerox)
- Witlingo
- x.ai

For more information about this report visit http://www.researchandmarkets.com/research/8qf956/virtual_digital