Report Content
Chapter 1. Methodology and Scope
1.1. Definition and forecast parameters
1.1.1. Definitions
1.1.2. Assumptions, methodology & forecast parameters
1.2. Data Sources
1.2.1. Primary
1.2.2. Secondary
Chapter 2. Executive Summary
2.1. Intelligent virtual assistant industry 3600 synopsis, 2013 - 2024
2.1.1. Business trends
2.1.2. Regional trends
2.1.3. Technology trends
2.1.4. End-use trends
2.1.5. Application trends
Chapter 3. intelligent virtual assistant Industry Insights
3.1. Industry segmentation
3.2. Industry landscape, 2013 – 2024
3.2.1. Smart homes industry landscape
3.2.2. Global artificial intelligence (AI) industry landscape
3.2.3. Smart speakers industry landscape
3.2.4. IoT industry landscape
3.2.5. Global smart wearables industry landscape
3.3. Industry ecosystem analysis
3.3.1. Technology providers
3.3.2. Device manufacturers
3.3.3. System integrators
3.3.4. End-user landscape
3.3.5. Vendor matrix
3.4. Technology and innovation landscape
3.4.1. Evolution of the virtual assistant industry
3.4.2. Intelligent virtual assistant architecture
3.4.3. Technological advancements in AI
3.4.4. Advancements and innovation in NLP
3.5. Regulatory landscape
3.6. Industry impact forces
3.6.1. Growth drivers
3.6.1.1. Increasing adoption across several industry verticals
3.6.1.2. Growing adoption of smartphones across the globe
3.6.1.3. Growing adoption of IoT and M2M technology in North America and Europe
3.6.1.4. Increasing demand by the consumers due to features such as flexibility and rapidity
3.6.1.5. Rising emphasis to enhance customer satisfaction in Asia Pacific
3.6.1.6. High demand for outsourced assistance in India
3.6.1.7. Growing popularity and demand for smart speakers in Latin America and MEA
3.6.2. Industry pitfalls & challenges
3.6.2.1. High initial costs of products
3.6.2.2. High risk pertaining to security flaws
3.6.2.3. Lack of skilled professionals
3.7. Growth potential analysis
3.7.1. Growth potential, by application
3.7.2. Growth potential, by end-use
3.8. Porter's analysis
3.8.1. Supplier power
3.8.2. Buyer power
3.8.3. Threat of new entrants
3.8.4. Threat of substitutes
3.8.5. Internal rivalry
3.9. Competitive landscape, 2017
3.9.1. Company market share analysis
3.9.2. Strategy dashboard
3.10. PESTEL analysis
Chapter 4. Intelligent Virtual Assistant Market, By Technology
4.1. Key trends in intelligent virtual assistant market by technology
4.2. Speech recognition
4.2.1. Market estimates and forecast, 2013 – 2024
4.3. Text-to-speech
4.3.1. Market estimates and forecast, 2013 – 2024
4.4. Voice recognition
4.4.1. Market estimates and forecast, 2013 – 2024
Chapter 5. Intelligent Virtual Assistant Market, By Service
5.1. Key trends in intelligent virtual assistant market by service
5.2. Customer service
5.2.1. Market estimates and forecast, 2013 – 2024
5.3. Marketing assistant
5.3.1. Market estimates and forecast, 2013 – 2024
Chapter 6. Intelligent Virtual Assistant Market, By End-Use
6.1. Key trends in intelligent virtual assistant market by end-use
6.2. SMBs
6.2.1. Market estimates and forecast, 2013 – 2024
6.3. Large enterprises
6.3.1. Market estimates and forecast, 2013 – 2024
6.4. Individual users
6.4.1. Market estimates and forecast, 2013 – 2024
Chapter 7. Intelligent Virtual Assistant Market, By Application
7.1. Key trends in intelligent virtual assistant market by application
7.2. BFSI
7.2.1. Market estimates and forecast, 2013 – 2024
7.3. Automotive
7.3.1. Market estimates and forecast, 2013 – 2024
7.4. IT & Telecom
7.4.1. Market estimates and forecast, 2013 – 2024
7.5. Retail
7.5.1. Market estimates and forecast, 2013 – 2024
7.6. Healthcare
7.6.1. Market estimates and forecast, 2013 – 2024
7.7. Education
7.7.1. Market estimates and forecast, 2013 – 2024
7.8. Others
7.8.1. Market estimates and forecast, 2013 – 2024
Chapter 8. Intelligent Virtual Assistant Market, By Region
8.1. Key trends in intelligent virtual assistant market by region
8.2. North America
8.2.1. Market estimates and forecast by technology, 2013 – 2024
8.2.2. Market estimates and forecast by service, 2013 – 2024
8.2.3. Market estimates and forecast by end-use, 2013 – 2024
8.2.4. Market estimates and forecast by application, 2013 – 2024
8.2.5. U.S.
8.2.5.1. Market estimates and forecast by technology, 2013 – 2024
8.2.5.2. Market estimates and forecast by service, 2013 – 2024
8.2.5.3. Market estimates and forecast by end-use, 2013 – 2024
8.2.5.4. Market estimates and forecast by application, 2013 – 2024
8.2.6. Canada
8.2.6.1. Market estimates and forecast by technology, 2013 – 2024
8.2.6.2. Market estimates and forecast by service, 2013 – 2024
8.2.6.3. Market estimates and forecast by end-use, 2013 – 2024
8.2.6.4. Market estimates and forecast by application, 2013 – 2024
8.3. Europe
8.3.1. Market estimates and forecast by technology, 2013 – 2024
8.3.2. Market estimates and forecast by service, 2013 – 2024
8.3.3. Market estimates and forecast by end-use, 2013 – 2024
8.3.4. Market estimates and forecast by application, 2013 – 2024
8.3.5. Germany
8.3.5.1. Market estimates and forecast by technology, 2013 – 2024
8.3.5.2. Market estimates and forecast by service, 2013 – 2024
8.3.5.3. Market estimates and forecast by end-use, 2013 – 2024
8.3.5.4. Market estimates and forecast by application, 2013 – 2024
8.3.6. UK
8.3.6.1. Market estimates and forecast by technology, 2013 – 2024
8.3.6.2. Market estimates and forecast by service, 2013 – 2024
8.3.6.3. Market estimates and forecast by end-use, 2013 – 2024
8.3.6.4. Market estimates and forecast by application, 2013 – 2024
8.3.7. Italy
8.3.7.1. Market estimates and forecast by technology, 2013 – 2024
8.3.7.2. Market estimates and forecast by service, 2013 – 2024
8.3.7.3. Market estimates and forecast by end-use, 2013 – 2024
8.3.7.4. Market estimates and forecast by application, 2013 – 2024
8.3.8. France
8.3.8.1. Market estimates and forecast by technology, 2013 – 2024
8.3.8.2. Market estimates and forecast by service, 2013 – 2024
8.3.8.3. Market estimates and forecast by end-use, 2013 – 2024
8.3.8.4. Market estimates and forecast by application, 2013 – 2024
8.3.9. Spain
8.3.9.1. Market estimates and forecast by technology, 2013 – 2024
8.3.9.2. Market estimates and forecast by service, 2013 – 2024
8.3.9.3. Market estimates and forecast by end-use, 2013 – 2024
8.3.9.4. Market estimates and forecast by application, 2013 – 2024
8.3.10. Russia
8.3.10.1. Market estimates and forecast by technology, 2013 – 2024
8.3.10.2. Market estimates and forecast by service, 2013 – 2024
8.3.10.3. Market estimates and forecast by end-use, 2013 – 2024
8.3.10.4. Market estimates and forecast by application, 2013 – 2024
8.4. Asia Pacific
8.4.1. Market estimates and forecast by technology, 2013 – 2024
8.4.2. Market estimates and forecast by service, 2013 – 2024
8.4.3. Market estimates and forecast by end-use, 2013 – 2024
8.4.4. Market estimates and forecast by application, 2013 – 2024
8.4.5. China
8.4.5.1. Market estimates and forecast by technology, 2013 – 2024
8.4.5.2. Market estimates and forecast by service, 2013 – 2024
8.4.5.3. Market estimates and forecast by end-use, 2013 – 2024
8.4.5.4. Market estimates and forecast by application, 2013 – 2024
8.4.6. India
8.4.6.1. Market estimates and forecast by technology, 2013 – 2024
8.4.6.2. Market estimates and forecast by service, 2013 – 2024
8.4.6.3. Market estimates and forecast by end-use, 2013 – 2024
8.4.6.4. Market estimates and forecast by application, 2013 – 2024
8.4.7. Japan
8.4.7.1. Market estimates and forecast by technology, 2013 – 2024
8.4.7.2. Market estimates and forecast by service, 2013 – 2024
8.4.7.3. Market estimates and forecast by end-use, 2013 – 2024
8.4.7.4. Market estimates and forecast by application, 2013 – 2024
8.4.8. South Korea
8.4.8.1. Market estimates and forecast by technology, 2013 – 2024
8.4.8.2. Market estimates and forecast by service, 2013 – 2024
8.4.8.3. Market estimates and forecast by end-use, 2013 – 2024
8.4.8.4. Market estimates and forecast by application, 2013 – 2024
8.5. Latin America
8.5.1. Market estimates and forecast by technology, 2013 – 2024
8.5.2. Market estimates and forecast by service, 2013 – 2024
8.5.3. Market estimates and forecast by end-use, 2013 – 2024
8.5.4. Market estimates and forecast by application, 2013 – 2024
8.5.5. Brazil
8.5.5.1. Market estimates and forecast by technology, 2013 – 2024
8.5.5.2. Market estimates and forecast by service, 2013 – 2024
8.5.5.3. Market estimates and forecast by end-use, 2013 – 2024
8.5.5.4. Market estimates and forecast by application, 2013 – 2024
8.5.6. Mexico
8.5.6.1. Market estimates and forecast by technology, 2013 – 2024
8.5.6.2. Market estimates and forecast by service, 2013 – 2024
8.5.6.3. Market estimates and forecast by end-use, 2013 – 2024
8.5.6.4. Market estimates and forecast by application, 2013 – 2024
8.6. Middle East & Africa (MEA)
8.6.1. Market estimates and forecast by technology, 2013 – 2024
8.6.2. Market estimates and forecast by service, 2013 – 2024
8.6.3. Market estimates and forecast by end-use, 2013 – 2024
8.6.4. Market estimates and forecast by application, 2013 – 2024
8.6.5. Saudi Arabia
8.6.5.1. Market estimates and forecast by technology, 2013 – 2024
8.6.5.2. Market estimates and forecast by service, 2013 – 2024
8.6.5.3. Market estimates and forecast by end-use, 2013 – 2024
8.6.5.4. Market estimates and forecast by application, 2013 – 2024
8.6.6. UAE
8.6.6.1. Market estimates and forecast by technology, 2013 – 2024
8.6.6.2. Market estimates and forecast by service, 2013 – 2024
8.6.6.3. Market estimates and forecast by end-use, 2013 – 2024
8.6.6.4. Market estimates and forecast by application, 2013 – 2024
8.6.7. South Africa
8.6.7.1. Market estimates and forecast by technology, 2013 – 2024
8.6.7.2. Market estimates and forecast by service, 2013 – 2024
8.6.7.3. Market estimates and forecast by end-use, 2013 – 2024
8.6.7.4. Market estimates and forecast by application, 2013 – 2024
Chapter 9. Company Profiles
9.1. 24/7 CUSTOMER, INC.
9.1.1. Business overview
9.1.2. Financial data
9.1.3. Product landscape
9.1.4. Strategic outlook
9.1.5. SWOT analysis
9.2. Amazon, Inc.
9.2.1. Business overview
9.2.2. Financial data
9.2.3. Product landscape
9.2.4. Strategic outlook
9.2.5. SWOT analysis
9.3. Anboto
9.3.1. Business overview
9.3.2. Financial data
9.3.3. Product landscape
9.3.4. Strategic outlook
9.3.5. SWOT analysis
9.4. Apple, Inc.
9.4.1. Business overview
9.4.2. Financial data
9.4.3. Product landscape
9.4.4. Strategic outlook
9.4.5. SWOT analysis
9.5. Artificial Solutions
9.5.1. Business overview
9.5.2. Financial data
9.5.3. Product landscape
9.5.4. Strategic outlook
9.5.5. SWOT analysis
9.6. Clara Labs
9.6.1. Business overview
9.6.2. Financial data
9.6.3. Product landscape
9.6.4. Strategic outlook
9.6.5. SWOT analysis
9.7. CodeBaby Corporation
9.7.1. Business overview
9.7.2. Financial data
9.7.3. Product landscape
9.7.4. Strategic outlook
9.7.5. SWOT analysis
9.8. Creative Virtual
9.8.1. Business overview
9.8.2. Financial data
9.8.3. Product landscape
9.8.4. Strategic outlook
9.8.5. SWOT analysis
9.9. CX Company
9.9.1. Business overview
9.9.2. Financial data
9.9.3. Product landscape
9.9.4. Strategic outlook
9.9.5. SWOT analysis
9.10. eCreation
9.10.1. Business overview
9.10.2. Financial data
9.10.3. Product landscape
9.10.4. Strategic outlook
9.10.5. SWOT analysis
9.11. eGain Communications
9.11.1. Business overview
9.11.2. Financial data
9.11.3. Product landscape
9.11.4. Strategic outlook
9.11.5. SWOT analysis
9.12. Eidoserve Inc.
9.12.1. Business overview
9.12.2. Financial data
9.12.3. Product landscape
9.12.4. Strategic outlook
9.12.5. SWOT analysis
9.13. Existor
9.13.1. Business overview
9.13.2. Financial data
9.13.3. Product landscape
9.13.4. Strategic outlook
9.13.5. SWOT analysis
9.14. GetAbby
9.14.1. Business overview
9.14.2. Financial data
9.14.3. Product landscape
9.14.4. Strategic outlook
9.14.5. SWOT analysis
9.15. Google, Inc.
9.15.1. Business overview
9.15.2. Financial data
9.15.3. Product landscape
9.15.4. Strategic outlook
9.15.5. SWOT analysis
9.16. IBM Corporation
9.16.1. Business overview
9.16.2. Financial data
9.16.3. Product landscape
9.16.4. Strategic outlook
9.16.5. SWOT analysis
9.17. Inbenta
9.17.1. Business overview
9.17.2. Financial data
9.17.3. Product landscape
9.17.4. Strategic outlook
9.17.5. SWOT analysis
9.18. Intel
9.18.1. Business overview
9.18.2. Financial data
9.18.3. Product landscape
9.18.4. Strategic outlook
9.18.5. SWOT analysis
9.19. IntelliResponse
9.19.1. Business overview
9.19.2. Financial data
9.19.3. Product landscape
9.19.4. Strategic outlook
9.19.5. SWOT analysis
9.20. Microsoft Corporation
9.20.1. Business overview
9.20.2. Financial data
9.20.3. Product landscape
9.20.4. Strategic outlook
9.20.5. SWOT analysis
9.21. Next IT
9.21.1. Business overview
9.21.2. Financial data
9.21.3. Product landscape
9.21.4. Strategic outlook
9.21.5. SWOT analysis
9.22. Nuance Communications
9.22.1. Business overview
9.22.2. Financial data
9.22.3. Product landscape
9.22.4. Strategic outlook
9.22.5. SWOT analysis
9.23. Oracle
9.23.1. Business overview
9.23.2. Financial data
9.23.3. Product landscape
9.23.4. Strategic outlook
9.23.5. SWOT analysis
9.24. SelfService Company
9.24.1. Business overview
9.24.2. Financial data
9.24.3. Product landscape
9.24.4. Strategic outlook
9.24.5. SWOT analysis
9.25. Speaktoit Inc
9.25.1. Business overview
9.25.2. Financial data
9.25.3. Product landscape
9.25.4. Strategic outlook
9.25.5. SWOT analysis
9.26. Synthetix Ltd.
9.26.1. Business overview
9.26.2. Financial data
9.26.3. Product landscape
9.26.4. Strategic outlook
9.26.5. SWOT analysis
9.27. Viclone Corporation
9.27.1. Business overview
9.27.2. Financial data
9.27.3. Product landscape
9.27.4. Strategic outlook
9.27.5. SWOT analysis
