What is scope of the report?

The base year for the study has been considered 2019, historic year 2014 and 2018. Read More

What are the significant segments operating in the market?

Market is segmented on the basis. Read More

What are the vital market dynamics?

The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. Read More

What does a company profile includes?

The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering. Read More

Global Intelligent Virtual Assistant Market 2020 by Company, Regions, Type and Application, Forecast to 2025

Publish Date: Feb, 2020
Report ID: 411166
Category: Business Services
Pages: 121

$3480

Market Overview

The global Intelligent Virtual Assistant market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 16.4% in the forecast period of 2020 to 2025 and will expected to reach USD 2159.6 million by 2025, from USD 1174.7 million in 2019.

The Intelligent Virtual Assistant market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Market segmentation

Intelligent Virtual Assistant market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, Intelligent Virtual Assistant market has been segmented into:

Rule based

Conversational AI based

By Application, Intelligent Virtual Assistant has been segmented into:

Consumer Electronics

BFSI

Healthcare

Education

Retail

Government

Utilities

Travel and Hospitality

Others

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Intelligent Virtual Assistant market presented in the report. This section sheds light on the sales growth of different regional and country-level Intelligent Virtual Assistant markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Intelligent Virtual Assistant market.

The report offers in-depth assessment of the growth and other aspects of the Intelligent Virtual Assistant market in important countries (regions), including:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Competitive Landscape and Intelligent Virtual Assistant Market Share Analysis

Intelligent Virtual Assistant competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Intelligent Virtual Assistant sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Intelligent Virtual Assistant sales, revenue and market share for each player covered in this report.

The major players covered in Intelligent Virtual Assistant are:

Microsoft

Baidu

Alphabet

Nuance

IBM

Samsung Electronics

Inbenta Technologies

Amazon

Apple

Blackberry

Mycroft Ai

Facebook

Unified Computer Intelligence

Cognitive Code

Artificial Solutions

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Table of Contents

1 Intelligent Virtual Assistant Market Overview

1.1 Product Overview and Scope of Intelligent Virtual Assistant

1.2 Classification of Intelligent Virtual Assistant by Type

1.2.1 Global Intelligent Virtual Assistant Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Intelligent Virtual Assistant Revenue Market Share by Type in 2019

1.2.3 Rule based

1.2.4 Conversational AI based

1.3 Global Intelligent Virtual Assistant Market by Application

1.3.1 Overview: Global Intelligent Virtual Assistant Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Consumer Electronics

1.3.3 BFSI

1.3.4 Healthcare

1.3.5 Education

1.3.6 Retail

1.3.7 Government

1.3.8 Utilities

1.3.9 Travel and Hospitality

1.3.10 Others

1.4 Global Intelligent Virtual Assistant Market by Regions

1.4.1 Global Intelligent Virtual Assistant Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Intelligent Virtual Assistant (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Intelligent Virtual Assistant Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) Intelligent Virtual Assistant Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Intelligent Virtual Assistant Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) Intelligent Virtual Assistant Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Intelligent Virtual Assistant Status and Prospect (2015-2025)

2 Company Profiles

2.1 Microsoft

2.1.1 Microsoft Details

2.1.2 Microsoft Major Business and Total Revenue (Financial Highlights) Analysis

2.1.3 Microsoft SWOT Analysis

2.1.4 Microsoft Product and Services

2.1.5 Microsoft Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.2 Baidu

2.2.1 Baidu Details

2.2.2 Baidu Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 Baidu SWOT Analysis

2.2.4 Baidu Product and Services

2.2.5 Baidu Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.3 Alphabet

2.3.1 Alphabet Details

2.3.2 Alphabet Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 Alphabet SWOT Analysis

2.3.4 Alphabet Product and Services

2.3.5 Alphabet Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.4 Nuance

2.4.1 Nuance Details

2.4.2 Nuance Major Business and Total Revenue (Financial Highlights) Analysis

2.4.3 Nuance SWOT Analysis

2.4.4 Nuance Product and Services

2.4.5 Nuance Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.5 IBM

2.5.1 IBM Details

2.5.2 IBM Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 IBM SWOT Analysis

2.5.4 IBM Product and Services

2.5.5 IBM Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.6 Samsung Electronics

2.6.1 Samsung Electronics Details

2.6.2 Samsung Electronics Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 Samsung Electronics SWOT Analysis

2.6.4 Samsung Electronics Product and Services

2.6.5 Samsung Electronics Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.7 Inbenta Technologies

2.7.1 Inbenta Technologies Details

2.7.2 Inbenta Technologies Major Business and Total Revenue (Financial Highlights) Analysis

2.7.3 Inbenta Technologies SWOT Analysis

2.7.4 Inbenta Technologies Product and Services

2.7.5 Inbenta Technologies Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.8 Amazon

2.8.1 Amazon Details

2.8.2 Amazon Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 Amazon SWOT Analysis

2.8.4 Amazon Product and Services

2.8.5 Amazon Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.9 Apple

2.9.1 Apple Details

2.9.2 Apple Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 Apple SWOT Analysis

2.9.4 Apple Product and Services

2.9.5 Apple Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.10 Blackberry

2.10.1 Blackberry Details

2.10.2 Blackberry Major Business and Total Revenue (Financial Highlights) Analysis

2.10.3 Blackberry SWOT Analysis

2.10.4 Blackberry Product and Services

2.10.5 Blackberry Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.11 Mycroft Ai

2.11.1 Mycroft Ai Details

2.11.2 Mycroft Ai Major Business and Total Revenue (Financial Highlights) Analysis

2.11.3 Mycroft Ai SWOT Analysis

2.11.4 Mycroft Ai Product and Services

2.11.5 Mycroft Ai Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.12 Facebook

2.12.1 Facebook Details

2.12.2 Facebook Major Business and Total Revenue (Financial Highlights) Analysis

2.12.3 Facebook SWOT Analysis

2.12.4 Facebook Product and Services

2.12.5 Facebook Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.13 Unified Computer Intelligence

2.13.1 Unified Computer Intelligence Details

2.13.2 Unified Computer Intelligence Major Business and Total Revenue (Financial Highlights) Analysis

2.13.3 Unified Computer Intelligence SWOT Analysis

2.13.4 Unified Computer Intelligence Product and Services

2.13.5 Unified Computer Intelligence Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.14 Cognitive Code

2.14.1 Cognitive Code Details

2.14.2 Cognitive Code Major Business and Total Revenue (Financial Highlights) Analysis

2.14.3 Cognitive Code SWOT Analysis

2.14.4 Cognitive Code Product and Services

2.14.5 Cognitive Code Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

2.15 Artificial Solutions

2.15.1 Artificial Solutions Details

2.15.2 Artificial Solutions Major Business and Total Revenue (Financial Highlights) Analysis

2.15.3 Artificial Solutions SWOT Analysis

2.15.4 Artificial Solutions Product and Services

2.15.5 Artificial Solutions Intelligent Virtual Assistant Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global Intelligent Virtual Assistant Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Intelligent Virtual Assistant Players Market Share

3.2.2 Top 10 Intelligent Virtual Assistant Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Intelligent Virtual Assistant Revenue and Market Share by Regions

4.2 North America Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

4.3 Europe Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

4.5 South America Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

5 North America Intelligent Virtual Assistant Revenue by Countries

5.1 North America Intelligent Virtual Assistant Revenue by Countries (2015-2020)

5.2 USA Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

5.3 Canada Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

5.4 Mexico Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

6 Europe Intelligent Virtual Assistant Revenue by Countries

6.1 Europe Intelligent Virtual Assistant Revenue by Countries (2015-2020)

6.2 Germany Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

6.3 UK Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

6.4 France Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

6.5 Russia Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

6.6 Italy Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Intelligent Virtual Assistant Revenue by Countries

7.1 Asia-Pacific Intelligent Virtual Assistant Revenue by Countries (2015-2020)

7.2 China Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

7.3 Japan Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

7.4 Korea Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

7.5 India Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

8 South America Intelligent Virtual Assistant Revenue by Countries

8.1 South America Intelligent Virtual Assistant Revenue by Countries (2015-2020)

8.2 Brazil Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

8.3 Argentina Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Intelligent Virtual Assistant by Countries

9.1 Middle East & Africa Intelligent Virtual Assistant Revenue by Countries (2015-2020)

9.2 Saudi Arabia Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

9.3 UAE Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

9.4 Egypt Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

9.5 South Africa Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Intelligent Virtual Assistant Revenue and Market Share by Type (2015-2020)

10.2 Global Intelligent Virtual Assistant Market Forecast by Type (2019-2024)

10.3 Rule based Revenue Growth Rate (2015-2025)

10.4 Conversational AI based Revenue Growth Rate (2015-2025)

11 Global Intelligent Virtual Assistant Market Segment by Application

11.1 Global Intelligent Virtual Assistant Revenue Market Share by Application (2015-2020)

11.2 Intelligent Virtual Assistant Market Forecast by Application (2019-2024)

11.3 Consumer Electronics Revenue Growth (2015-2020)

11.4 BFSI Revenue Growth (2015-2020)

11.5 Healthcare Revenue Growth (2015-2020)

11.6 Education Revenue Growth (2015-2020)

11.7 Retail Revenue Growth (2015-2020)

11.8 Government Revenue Growth (2015-2020)

11.9 Utilities Revenue Growth (2015-2020)

11.10 Travel and Hospitality Revenue Growth (2015-2020)

11.11 Others Revenue Growth (2015-2020)

12 Global Intelligent Virtual Assistant Market Size Forecast (2021-2025)

12.1 Global Intelligent Virtual Assistant Market Size Forecast (2021-2025)

12.2 Global Intelligent Virtual Assistant Market Forecast by Regions (2021-2025)

12.3 North America Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

12.4 Europe Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

12.6 South America Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

14.3 Disclaimer

14.4 About US

List of Tables

Table 1. Global Intelligent Virtual Assistant Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Intelligent Virtual Assistant by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global Intelligent Virtual Assistant Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market Intelligent Virtual Assistant Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. Microsoft Corporate Information, Location and Competitors

Table 6. Microsoft Intelligent Virtual Assistant Major Business

Table 7. Microsoft Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 8. Microsoft SWOT Analysis

Table 9. Microsoft Intelligent Virtual Assistant Product and Solutions

Table 10. Microsoft Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. Baidu Corporate Information, Location and Competitors

Table 12. Baidu Intelligent Virtual Assistant Major Business

Table 13. Baidu Intelligent Virtual Assistant Total Revenue (USD Million) (2018-2019)

Table 14. Baidu SWOT Analysis

Table 15. Baidu Intelligent Virtual Assistant Product and Solutions

Table 16. Baidu Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. Alphabet Corporate Information, Location and Competitors

Table 18. Alphabet Intelligent Virtual Assistant Major Business

Table 19. Alphabet Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 20. Alphabet SWOT Analysis

Table 21. Alphabet Intelligent Virtual Assistant Product and Solutions

Table 22. Alphabet Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. Nuance Corporate Information, Location and Competitors

Table 24. Nuance Intelligent Virtual Assistant Major Business

Table 25. Nuance Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 26. Nuance SWOT Analysis

Table 27. Nuance Intelligent Virtual Assistant Product and Solutions

Table 28. Nuance Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. IBM Corporate Information, Location and Competitors

Table 30. IBM Intelligent Virtual Assistant Major Business

Table 31. IBM Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 32. IBM SWOT Analysis

Table 33. IBM Intelligent Virtual Assistant Product and Solutions

Table 34. IBM Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. Samsung Electronics Corporate Information, Location and Competitors

Table 36. Samsung Electronics Intelligent Virtual Assistant Major Business

Table 37. Samsung Electronics Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 38. Samsung Electronics SWOT Analysis

Table 39. Samsung Electronics Intelligent Virtual Assistant Product and Solutions

Table 40. Samsung Electronics Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Inbenta Technologies Corporate Information, Location and Competitors

Table 42. Inbenta Technologies Intelligent Virtual Assistant Major Business

Table 43. Inbenta Technologies Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 44. Inbenta Technologies SWOT Analysis

Table 45. Inbenta Technologies Intelligent Virtual Assistant Product and Solutions

Table 46. Inbenta Technologies Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. Amazon Corporate Information, Location and Competitors

Table 48. Amazon Intelligent Virtual Assistant Major Business

Table 49. Amazon Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 50. Amazon SWOT Analysis

Table 51. Amazon Intelligent Virtual Assistant Product and Solutions

Table 52. Amazon Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. Apple Corporate Information, Location and Competitors

Table 54. Apple Intelligent Virtual Assistant Major Business

Table 55. Apple Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 56. Apple SWOT Analysis

Table 57. Apple Intelligent Virtual Assistant Product and Solutions

Table 58. Apple Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Blackberry Corporate Information, Location and Competitors

Table 60. Blackberry Intelligent Virtual Assistant Major Business

Table 61. Blackberry Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 62. Blackberry SWOT Analysis

Table 63. Blackberry Intelligent Virtual Assistant Product and Solutions

Table 64. Blackberry Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. Mycroft Ai Corporate Information, Location and Competitors

Table 66. Mycroft Ai Intelligent Virtual Assistant Major Business

Table 67. Mycroft Ai Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 68. Mycroft Ai SWOT Analysis

Table 69. Mycroft Ai Intelligent Virtual Assistant Product and Solutions

Table 70. Mycroft Ai Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 71. Facebook Corporate Information, Location and Competitors

Table 72. Facebook Intelligent Virtual Assistant Major Business

Table 73. Facebook Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 74. Facebook SWOT Analysis

Table 75. Facebook Intelligent Virtual Assistant Product and Solutions

Table 76. Facebook Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 77. Unified Computer Intelligence Corporate Information, Location and Competitors

Table 78. Unified Computer Intelligence Intelligent Virtual Assistant Major Business

Table 79. Unified Computer Intelligence Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 80. Unified Computer Intelligence SWOT Analysis

Table 81. Unified Computer Intelligence Intelligent Virtual Assistant Product and Solutions

Table 82. Unified Computer Intelligence Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 83. Cognitive Code Corporate Information, Location and Competitors

Table 84. Cognitive Code Intelligent Virtual Assistant Major Business

Table 85. Cognitive Code Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 86. Cognitive Code SWOT Analysis

Table 87. Cognitive Code Intelligent Virtual Assistant Product and Solutions

Table 88. Cognitive Code Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 89. Artificial Solutions Corporate Information, Location and Competitors

Table 90. Artificial Solutions Intelligent Virtual Assistant Major Business

Table 91. Artificial Solutions Intelligent Virtual Assistant Total Revenue (USD Million) (2017-2018)

Table 92. Artificial Solutions SWOT Analysis

Table 93. Artificial Solutions Intelligent Virtual Assistant Product and Solutions

Table 94. Artificial Solutions Intelligent Virtual Assistant Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 95. Global Intelligent Virtual Assistant Revenue (Million USD) by Players (2015-2020)

Table 96. Global Intelligent Virtual Assistant Revenue Share by Players (2015-2020)

Table 97. Global Intelligent Virtual Assistant Revenue (Million USD) by Regions (2015-2020)

Table 98. Global Intelligent Virtual Assistant Revenue Market Share by Regions (2015-2020)

Table 99. North America Intelligent Virtual Assistant Revenue by Countries (2015-2020)

Table 100. North America Intelligent Virtual Assistant Revenue Market Share by Countries (2015-2020)

Table 101. Europe Intelligent Virtual Assistant Revenue (Million USD) by Countries (2015-2020)

Table 102. Asia-Pacific Intelligent Virtual Assistant Revenue (Million USD) by Countries (2015-2020)

Table 103. South America Intelligent Virtual Assistant Revenue by Countries (2015-2020)

Table 104. South America Intelligent Virtual Assistant Revenue Market Share by Countries (2015-2020)

Table 105. Middle East and Africa Intelligent Virtual Assistant Revenue (Million USD) by Countries (2015-2020)

Table 106. Middle East and Africa Intelligent Virtual Assistant Revenue Market Share by Countries (2015-2020)

Table 107. Global Intelligent Virtual Assistant Revenue (Million USD) by Type (2015-2020)

Table 108. Global Intelligent Virtual Assistant Revenue Share by Type (2015-2020)

Table 109. Global Intelligent Virtual Assistant Revenue Forecast by Type (2021-2025)

Table 110. Global Intelligent Virtual Assistant Revenue by Application (2015-2020)

Table 111. Global Intelligent Virtual Assistant Revenue Share by Application (2015-2020)

Table 112. Global Intelligent Virtual Assistant Revenue Forecast by Application (2021-2025)

Table 113. Global Intelligent Virtual Assistant Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Intelligent Virtual Assistant Picture

Figure 2. Global Intelligent Virtual Assistant Revenue Market Share by Type in 2019

Figure 3. Rule based Picture

Figure 4. Conversational AI based Picture

Figure 5. Intelligent Virtual Assistant Revenue Market Share by Application in 2019

Figure 6. Consumer Electronics Picture

Figure 7. BFSI Picture

Figure 8. Healthcare Picture

Figure 9. Education Picture

Figure 10. Retail Picture

Figure 11. Government Picture

Figure 12. Utilities Picture

Figure 13. Travel and Hospitality Picture

Figure 14. Others Picture

Figure 15. Global Intelligent Virtual Assistant Revenue (USD Million) and Growth Rate (2015-2025)

Figure 16. North America Intelligent Virtual Assistant Revenue (Million USD) and Growth Rate (2015-2025)

Figure 17. Europe Intelligent Virtual Assistant Revenue (Million USD) and Growth Rate (2015-2025)

Figure 18. Asia-Pacific Intelligent Virtual Assistant Revenue (Million USD) and Growth Rate (2015-2025)

Figure 19. South America Intelligent Virtual Assistant Revenue (Million USD) and Growth Rate (2015-2025)

Figure 20. Middle East and Africa Intelligent Virtual Assistant Revenue (Million USD) and Growth Rate (2015-2025)

Figure 21. Global Intelligent Virtual Assistant Revenue (Million USD) and Growth Rate (2015-2025)

Figure 22. Global Intelligent Virtual Assistant Revenue Share by Players in 2019

Figure 23. Global Top 5 Players Intelligent Virtual Assistant Revenue Market Share in 2019

Figure 24. Global Top 10 Players Intelligent Virtual Assistant Revenue Market Share in 2019

Figure 25. Key Players Market Share Trend

Figure 26. Global Intelligent Virtual Assistant Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 27. Global Intelligent Virtual Assistant Revenue Market Share by Regions (2015-2020)

Figure 28. Global Intelligent Virtual Assistant Revenue Market Share by Regions in 2018

Figure 29. North America Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 30. Europe Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 31. Asia-Pacific Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 32. South America Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 33. Middle East and Africa Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 34. North America Intelligent Virtual Assistant Revenue Market Share by Countries (2015-2020)

Figure 35. North America Intelligent Virtual Assistant Revenue Market Share by Countries in 2019

Figure 36. USA Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 37. Canada Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 38. Mexico Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 39. Europe Intelligent Virtual Assistant Revenue Market Share by Countries (2015-2020)

Figure 40. Europe Intelligent Virtual Assistant Revenue Market Share by Countries in 2019

Figure 41. Germany Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 42. UK Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 43. France Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 44. Russia Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 45. Italy Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 46. Asia-Pacific Intelligent Virtual Assistant Revenue Market Share by Countries (2015-2020)

Figure 47. Asia-Pacific Intelligent Virtual Assistant Revenue Market Share by Countries in 2019

Figure 48. China Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 49. Japan Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 50. Korea Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 51. India Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 52. Southeast Asia Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 53. South America Intelligent Virtual Assistant Revenue Market Share by Countries (2015-2020)

Figure 54. South America Intelligent Virtual Assistant Revenue Market Share by Countries in 2019

Figure 55. Brazil Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 56. Argentina Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 57. Middle East and Africa Intelligent Virtual Assistant Revenue Market Share by Countries (2015-2020)

Figure 58. Middle East and Africa Intelligent Virtual Assistant Revenue Market Share by Countries in 2019

Figure 59. Saudi Arabia Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 60. UAE Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 61. Egypt Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 62. South Africa Intelligent Virtual Assistant Revenue and Growth Rate (2015-2020)

Figure 63. Global Intelligent Virtual Assistant Revenue Share by Type (2015-2020)

Figure 64. Global Intelligent Virtual Assistant Revenue Share by Type in 2019

Figure 65. Global Intelligent Virtual Assistant Market Share Forecast by Type (2021-2025)

Figure 66. Global Rule based Revenue Growth Rate (2015-2020)

Figure 67. Global Conversational AI based Revenue Growth Rate (2015-2020)

Figure 68. Global Intelligent Virtual Assistant Revenue Share by Application (2015-2020)

Figure 69. Global Intelligent Virtual Assistant Revenue Share by Application in 2019

Figure 70. Global Intelligent Virtual Assistant Market Share Forecast by Application (2021-2025)

Figure 71. Global Consumer Electronics Revenue Growth Rate (2015-2020)

Figure 72. Global BFSI Revenue Growth Rate (2015-2020)

Figure 73. Global Healthcare Revenue Growth Rate (2015-2020)

Figure 74. Global Education Revenue Growth Rate (2015-2020)

Figure 75. Global Retail Revenue Growth Rate (2015-2020)

Figure 76. Global Government Revenue Growth Rate (2015-2020)

Figure 77. Global Utilities Revenue Growth Rate (2015-2020)

Figure 78. Global Travel and Hospitality Revenue Growth Rate (2015-2020)

Figure 79. Global Others Revenue Growth Rate (2015-2020)

Figure 80. Global Intelligent Virtual Assistant Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 81. Global Intelligent Virtual Assistant Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 82. Global Intelligent Virtual Assistant Revenue Market Share Forecast by Regions (2021-2025)

Figure 83. North America Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

Figure 84. Europe Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

Figure 85. Asia-Pacific Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

Figure 86. South America Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

Figure 87. Middle East and Africa Intelligent Virtual Assistant Revenue Market Forecast (2021-2025)

Figure 88. Sales Channel: Direct Channel vs Indirect Channel

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

Market research helps businesses strengthen a company’s position
Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
Market research helps in identifying the potential threats and opportunities associated with the business industry
Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

Data Collection
Data Synthesis
Market Deduction & Formulation
Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends.
Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information.

We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:

Export & Import Data
Business Information related to trade and its statistics
Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.

In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
Examining demographic along with psychographic segmentation for market evaluation
Analyzing the macro and micro-economic indicators for each demography
Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology.

Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.

The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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Testimonials

Hi John,
Thanks for the report. We've been going through it and see some good data on the market and players. –

Kennedy Brown
Health Technology Innovation
United States

Hi Rahul,
Thank You for the report it is good and beneficial for me.
Thank You in Advance

Mika Salomäki

Dear Siddhartha,
Thank you for your fast reply. The report arrived safe and sound, evrything looks all right.
Thank you very much for your assitance and I will be looking forward to another opportunity for cooperation.

ONDŘEJ ŠUPKA
Analytics Department
ČESKÁ ZBROJOVKA A.S.

Dear Siddhartha,
The report looks good, and we believe the material mix is more realistic now. It is good to know you report “Net” Manufacturing Selling Price, as that can make a difference in how we view the numbers. The reports were great and we appreciate your working with us.
Thanks for all your help!