Covid-19 Impact on Global Machine Learning in Communication Market Size, Status and Forecast 2020-2026
The field of communications is traditionally built on precise mathematical models that are well understood and have been shown to work exceptionally well for many practical applications. Unfortunately, communication systems designers have been forced to push the boundaries to such an extent that in many applications conventional mathematical models and signal processing techniques are no longer sufficient to accurately describe the encountered complex scenarios. Specifically, there is an increasing number of cases where rigorous mathematical models are either not known or are entirely impractical from a computational perspective. Machine learning methods can come to the rescue as they do not require rigid pre-defined models and can extract meaningful structure from large amounts of data to provide useful results.
Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 100 countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Machine Learning in Communication market in 2020.
COVID-19 can affect the global economy in three main ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on firms and financial markets.
The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.
This report also analyses the impact of Coronavirus COVID-19 on the Machine Learning in Communication industry.
Based on our recent survey, we have several different scenarios about the Machine Learning in Communication YoY growth rate for 2020. The probable scenario is expected to grow by a xx% in 2020 and the revenue will be xx in 2020 from US$ xx million in 2019. The market size of Machine Learning in Communication will reach xx in 2026, with a CAGR of xx% from 2020 to 2026.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Machine Learning in Communication market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Machine Learning in Communication market in terms of revenue.
Players, stakeholders, and other participants in the global Machine Learning in Communication market will be able to gain the upper hand as they use the report as a powerful resource. For this version of the report, the segmental analysis focuses on revenue and forecast by each application segment in terms of revenue and forecast by each type segment in terms of revenue for the period 2015-2026.
Regional and Country-level Analysis
The report offers an exhaustive geographical analysis of the global Machine Learning in Communication market, covering important regions, viz, North America, Europe, China, Japan, Southeast Asia, India and Central & South America. It also covers key countries (regions), viz, U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by each application segment in terms of revenue for the period 2015-2026.
Competition Analysis
In the competitive analysis section of the report, leading as well as prominent players of the global Machine Learning in Communication market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Machine Learning in Communication market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Machine Learning in Communication market.
The following players are covered in this report:
Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 100 countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Machine Learning in Communication market in 2020.
COVID-19 can affect the global economy in three main ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on firms and financial markets.
The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future.
This report also analyses the impact of Coronavirus COVID-19 on the Machine Learning in Communication industry.
Based on our recent survey, we have several different scenarios about the Machine Learning in Communication YoY growth rate for 2020. The probable scenario is expected to grow by a xx% in 2020 and the revenue will be xx in 2020 from US$ xx million in 2019. The market size of Machine Learning in Communication will reach xx in 2026, with a CAGR of xx% from 2020 to 2026.
With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Machine Learning in Communication market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Machine Learning in Communication market in terms of revenue.
Players, stakeholders, and other participants in the global Machine Learning in Communication market will be able to gain the upper hand as they use the report as a powerful resource. For this version of the report, the segmental analysis focuses on revenue and forecast by each application segment in terms of revenue and forecast by each type segment in terms of revenue for the period 2015-2026.
Regional and Country-level Analysis
The report offers an exhaustive geographical analysis of the global Machine Learning in Communication market, covering important regions, viz, North America, Europe, China, Japan, Southeast Asia, India and Central & South America. It also covers key countries (regions), viz, U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by each application segment in terms of revenue for the period 2015-2026.
Competition Analysis
In the competitive analysis section of the report, leading as well as prominent players of the global Machine Learning in Communication market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.
On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Machine Learning in Communication market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Machine Learning in Communication market.
The following players are covered in this report:
- Amazon
- IBM
- Microsoft
- Nextiva
- Nexmo
- Twilio
- Dialpad
- Cisco
- RingCentral
- Cloud-Based
- On-Premise
- Network Optimization
- Predictive Maintenance
- Virtual Assistants
- Robotic Process Automation (RPA)
1 REPORT OVERVIEW
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Machine Learning in Communication Revenue
1.4 Market Analysis by Type
1.4.1 Global Machine Learning in Communication Market Size Growth Rate by Type: 2020 VS 2026
1.4.2 Cloud-Based
1.4.3 On-Premise
1.5 Market by Application
1.5.1 Global Machine Learning in Communication Market Share by Application: 2020 VS 2026
1.5.2 Network Optimization
1.5.3 Predictive Maintenance
1.5.4 Virtual Assistants
1.5.5 Robotic Process Automation (RPA)
1.6 Coronavirus Disease 2019 (Covid-19): Machine Learning in Communication Industry Impact
1.6.1 How the Covid-19 is Affecting the Machine Learning in Communication Industry
1.6.1.1 Machine Learning in Communication Business Impact Assessment - Covid-19
1.6.1.2 Supply Chain Challenges
1.6.1.3 COVID-19’s Impact On Crude Oil and Refined Products
1.6.2 Market Trends and Machine Learning in Communication Potential Opportunities in the COVID-19 Landscape
1.6.3 Measures / Proposal against Covid-19
1.6.3.1 Government Measures to Combat Covid-19 Impact
1.6.3.2 Proposal for Machine Learning in Communication Players to Combat Covid-19 Impact
1.7 Study Objectives
1.8 Years Considered
2 GLOBAL GROWTH TRENDS BY REGIONS
2.1 Machine Learning in Communication Market Perspective (2015-2026)
2.2 Machine Learning in Communication Growth Trends by Regions
2.2.1 Machine Learning in Communication Market Size by Regions: 2015 VS 2020 VS 2026
2.2.2 Machine Learning in Communication Historic Market Share by Regions (2015-2020)
2.2.3 Machine Learning in Communication Forecasted Market Size by Regions (2021-2026)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Machine Learning in Communication Market Growth Strategy
2.3.6 Primary Interviews with Key Machine Learning in Communication Players (Opinion Leaders)
3 COMPETITION LANDSCAPE BY KEY PLAYERS
3.1 Global Top Machine Learning in Communication Players by Market Size
3.1.1 Global Top Machine Learning in Communication Players by Revenue (2015-2020)
3.1.2 Global Machine Learning in Communication Revenue Market Share by Players (2015-2020)
3.1.3 Global Machine Learning in Communication Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
3.2 Global Machine Learning in Communication Market Concentration Ratio
3.2.1 Global Machine Learning in Communication Market Concentration Ratio (CR5 and HHI)
3.2.2 Global Top 10 and Top 5 Companies by Machine Learning in Communication Revenue in 2019
3.3 Machine Learning in Communication Key Players Head office and Area Served
3.4 Key Players Machine Learning in Communication Product Solution and Service
3.5 Date of Enter into Machine Learning in Communication Market
3.6 Mergers & Acquisitions, Expansion Plans
4 BREAKDOWN DATA BY TYPE (2015-2026)
4.1 Global Machine Learning in Communication Historic Market Size by Type (2015-2020)
4.2 Global Machine Learning in Communication Forecasted Market Size by Type (2021-2026)
5 MACHINE LEARNING IN COMMUNICATION BREAKDOWN DATA BY APPLICATION (2015-2026)
5.1 Global Machine Learning in Communication Market Size by Application (2015-2020)
5.2 Global Machine Learning in Communication Forecasted Market Size by Application (2021-2026)
6 NORTH AMERICA
6.1 North America Machine Learning in Communication Market Size (2015-2020)
6.2 Machine Learning in Communication Key Players in North America (2019-2020)
6.3 North America Machine Learning in Communication Market Size by Type (2015-2020)
6.4 North America Machine Learning in Communication Market Size by Application (2015-2020)
7 EUROPE
7.1 Europe Machine Learning in Communication Market Size (2015-2020)
7.2 Machine Learning in Communication Key Players in Europe (2019-2020)
7.3 Europe Machine Learning in Communication Market Size by Type (2015-2020)
7.4 Europe Machine Learning in Communication Market Size by Application (2015-2020)
8 CHINA
8.1 China Machine Learning in Communication Market Size (2015-2020)
8.2 Machine Learning in Communication Key Players in China (2019-2020)
8.3 China Machine Learning in Communication Market Size by Type (2015-2020)
8.4 China Machine Learning in Communication Market Size by Application (2015-2020)
9 JAPAN
9.1 Japan Machine Learning in Communication Market Size (2015-2020)
9.2 Machine Learning in Communication Key Players in Japan (2019-2020)
9.3 Japan Machine Learning in Communication Market Size by Type (2015-2020)
9.4 Japan Machine Learning in Communication Market Size by Application (2015-2020)
10 SOUTHEAST ASIA
10.1 Southeast Asia Machine Learning in Communication Market Size (2015-2020)
10.2 Machine Learning in Communication Key Players in Southeast Asia (2019-2020)
10.3 Southeast Asia Machine Learning in Communication Market Size by Type (2015-2020)
10.4 Southeast Asia Machine Learning in Communication Market Size by Application (2015-2020)
11 INDIA
11.1 India Machine Learning in Communication Market Size (2015-2020)
11.2 Machine Learning in Communication Key Players in India (2019-2020)
11.3 India Machine Learning in Communication Market Size by Type (2015-2020)
11.4 India Machine Learning in Communication Market Size by Application (2015-2020)
12 CENTRAL & SOUTH AMERICA
12.1 Central & South America Machine Learning in Communication Market Size (2015-2020)
12.2 Machine Learning in Communication Key Players in Central & South America (2019-2020)
12.3 Central & South America Machine Learning in Communication Market Size by Type (2015-2020)
12.4 Central & South America Machine Learning in Communication Market Size by Application (2015-2020)
13 KEY PLAYERS PROFILES
13.1 Amazon
13.1.1 Amazon Company Details
13.1.2 Amazon Business Overview and Its Total Revenue
13.1.3 Amazon Machine Learning in Communication Introduction
13.1.4 Amazon Revenue in Machine Learning in Communication Business (2015-2020))
13.1.5 Amazon Recent Development
13.2 IBM
13.2.1 IBM Company Details
13.2.2 IBM Business Overview and Its Total Revenue
13.2.3 IBM Machine Learning in Communication Introduction
13.2.4 IBM Revenue in Machine Learning in Communication Business (2015-2020)
13.2.5 IBM Recent Development
13.3 Microsoft
13.3.1 Microsoft Company Details
13.3.2 Microsoft Business Overview and Its Total Revenue
13.3.3 Microsoft Machine Learning in Communication Introduction
13.3.4 Microsoft Revenue in Machine Learning in Communication Business (2015-2020)
13.3.5 Microsoft Recent Development
13.4 Google
13.4.1 Google Company Details
13.4.2 Google Business Overview and Its Total Revenue
13.4.3 Google Machine Learning in Communication Introduction
13.4.4 Google Revenue in Machine Learning in Communication Business (2015-2020)
13.4.5 Google Recent Development
13.5 Nextiva
13.5.1 Nextiva Company Details
13.5.2 Nextiva Business Overview and Its Total Revenue
13.5.3 Nextiva Machine Learning in Communication Introduction
13.5.4 Nextiva Revenue in Machine Learning in Communication Business (2015-2020)
13.5.5 Nextiva Recent Development
13.6 Nexmo
13.6.1 Nexmo Company Details
13.6.2 Nexmo Business Overview and Its Total Revenue
13.6.3 Nexmo Machine Learning in Communication Introduction
13.6.4 Nexmo Revenue in Machine Learning in Communication Business (2015-2020)
13.6.5 Nexmo Recent Development
13.7 Twilio
13.7.1 Twilio Company Details
13.7.2 Twilio Business Overview and Its Total Revenue
13.7.3 Twilio Machine Learning in Communication Introduction
13.7.4 Twilio Revenue in Machine Learning in Communication Business (2015-2020)
13.7.5 Twilio Recent Development
13.8 Dialpad
13.8.1 Dialpad Company Details
13.8.2 Dialpad Business Overview and Its Total Revenue
13.8.3 Dialpad Machine Learning in Communication Introduction
13.8.4 Dialpad Revenue in Machine Learning in Communication Business (2015-2020)
13.8.5 Dialpad Recent Development
13.9 Cisco
13.9.1 Cisco Company Details
13.9.2 Cisco Business Overview and Its Total Revenue
13.9.3 Cisco Machine Learning in Communication Introduction
13.9.4 Cisco Revenue in Machine Learning in Communication Business (2015-2020)
13.9.5 Cisco Recent Development
13.10 RingCentral
13.10.1 RingCentral Company Details
13.10.2 RingCentral Business Overview and Its Total Revenue
13.10.3 RingCentral Machine Learning in Communication Introduction
13.10.4 RingCentral Revenue in Machine Learning in Communication Business (2015-2020)
13.10.5 RingCentral Recent Development
14 ANALYST'S VIEWPOINTS/CONCLUSIONS
15 APPENDIX
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.2 Data Source
15.2 Disclaimer
15.3 Author Details
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Machine Learning in Communication Revenue
1.4 Market Analysis by Type
1.4.1 Global Machine Learning in Communication Market Size Growth Rate by Type: 2020 VS 2026
1.4.2 Cloud-Based
1.4.3 On-Premise
1.5 Market by Application
1.5.1 Global Machine Learning in Communication Market Share by Application: 2020 VS 2026
1.5.2 Network Optimization
1.5.3 Predictive Maintenance
1.5.4 Virtual Assistants
1.5.5 Robotic Process Automation (RPA)
1.6 Coronavirus Disease 2019 (Covid-19): Machine Learning in Communication Industry Impact
1.6.1 How the Covid-19 is Affecting the Machine Learning in Communication Industry
1.6.1.1 Machine Learning in Communication Business Impact Assessment - Covid-19
1.6.1.2 Supply Chain Challenges
1.6.1.3 COVID-19’s Impact On Crude Oil and Refined Products
1.6.2 Market Trends and Machine Learning in Communication Potential Opportunities in the COVID-19 Landscape
1.6.3 Measures / Proposal against Covid-19
1.6.3.1 Government Measures to Combat Covid-19 Impact
1.6.3.2 Proposal for Machine Learning in Communication Players to Combat Covid-19 Impact
1.7 Study Objectives
1.8 Years Considered
2 GLOBAL GROWTH TRENDS BY REGIONS
2.1 Machine Learning in Communication Market Perspective (2015-2026)
2.2 Machine Learning in Communication Growth Trends by Regions
2.2.1 Machine Learning in Communication Market Size by Regions: 2015 VS 2020 VS 2026
2.2.2 Machine Learning in Communication Historic Market Share by Regions (2015-2020)
2.2.3 Machine Learning in Communication Forecasted Market Size by Regions (2021-2026)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Machine Learning in Communication Market Growth Strategy
2.3.6 Primary Interviews with Key Machine Learning in Communication Players (Opinion Leaders)
3 COMPETITION LANDSCAPE BY KEY PLAYERS
3.1 Global Top Machine Learning in Communication Players by Market Size
3.1.1 Global Top Machine Learning in Communication Players by Revenue (2015-2020)
3.1.2 Global Machine Learning in Communication Revenue Market Share by Players (2015-2020)
3.1.3 Global Machine Learning in Communication Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
3.2 Global Machine Learning in Communication Market Concentration Ratio
3.2.1 Global Machine Learning in Communication Market Concentration Ratio (CR5 and HHI)
3.2.2 Global Top 10 and Top 5 Companies by Machine Learning in Communication Revenue in 2019
3.3 Machine Learning in Communication Key Players Head office and Area Served
3.4 Key Players Machine Learning in Communication Product Solution and Service
3.5 Date of Enter into Machine Learning in Communication Market
3.6 Mergers & Acquisitions, Expansion Plans
4 BREAKDOWN DATA BY TYPE (2015-2026)
4.1 Global Machine Learning in Communication Historic Market Size by Type (2015-2020)
4.2 Global Machine Learning in Communication Forecasted Market Size by Type (2021-2026)
5 MACHINE LEARNING IN COMMUNICATION BREAKDOWN DATA BY APPLICATION (2015-2026)
5.1 Global Machine Learning in Communication Market Size by Application (2015-2020)
5.2 Global Machine Learning in Communication Forecasted Market Size by Application (2021-2026)
6 NORTH AMERICA
6.1 North America Machine Learning in Communication Market Size (2015-2020)
6.2 Machine Learning in Communication Key Players in North America (2019-2020)
6.3 North America Machine Learning in Communication Market Size by Type (2015-2020)
6.4 North America Machine Learning in Communication Market Size by Application (2015-2020)
7 EUROPE
7.1 Europe Machine Learning in Communication Market Size (2015-2020)
7.2 Machine Learning in Communication Key Players in Europe (2019-2020)
7.3 Europe Machine Learning in Communication Market Size by Type (2015-2020)
7.4 Europe Machine Learning in Communication Market Size by Application (2015-2020)
8 CHINA
8.1 China Machine Learning in Communication Market Size (2015-2020)
8.2 Machine Learning in Communication Key Players in China (2019-2020)
8.3 China Machine Learning in Communication Market Size by Type (2015-2020)
8.4 China Machine Learning in Communication Market Size by Application (2015-2020)
9 JAPAN
9.1 Japan Machine Learning in Communication Market Size (2015-2020)
9.2 Machine Learning in Communication Key Players in Japan (2019-2020)
9.3 Japan Machine Learning in Communication Market Size by Type (2015-2020)
9.4 Japan Machine Learning in Communication Market Size by Application (2015-2020)
10 SOUTHEAST ASIA
10.1 Southeast Asia Machine Learning in Communication Market Size (2015-2020)
10.2 Machine Learning in Communication Key Players in Southeast Asia (2019-2020)
10.3 Southeast Asia Machine Learning in Communication Market Size by Type (2015-2020)
10.4 Southeast Asia Machine Learning in Communication Market Size by Application (2015-2020)
11 INDIA
11.1 India Machine Learning in Communication Market Size (2015-2020)
11.2 Machine Learning in Communication Key Players in India (2019-2020)
11.3 India Machine Learning in Communication Market Size by Type (2015-2020)
11.4 India Machine Learning in Communication Market Size by Application (2015-2020)
12 CENTRAL & SOUTH AMERICA
12.1 Central & South America Machine Learning in Communication Market Size (2015-2020)
12.2 Machine Learning in Communication Key Players in Central & South America (2019-2020)
12.3 Central & South America Machine Learning in Communication Market Size by Type (2015-2020)
12.4 Central & South America Machine Learning in Communication Market Size by Application (2015-2020)
13 KEY PLAYERS PROFILES
13.1 Amazon
13.1.1 Amazon Company Details
13.1.2 Amazon Business Overview and Its Total Revenue
13.1.3 Amazon Machine Learning in Communication Introduction
13.1.4 Amazon Revenue in Machine Learning in Communication Business (2015-2020))
13.1.5 Amazon Recent Development
13.2 IBM
13.2.1 IBM Company Details
13.2.2 IBM Business Overview and Its Total Revenue
13.2.3 IBM Machine Learning in Communication Introduction
13.2.4 IBM Revenue in Machine Learning in Communication Business (2015-2020)
13.2.5 IBM Recent Development
13.3 Microsoft
13.3.1 Microsoft Company Details
13.3.2 Microsoft Business Overview and Its Total Revenue
13.3.3 Microsoft Machine Learning in Communication Introduction
13.3.4 Microsoft Revenue in Machine Learning in Communication Business (2015-2020)
13.3.5 Microsoft Recent Development
13.4 Google
13.4.1 Google Company Details
13.4.2 Google Business Overview and Its Total Revenue
13.4.3 Google Machine Learning in Communication Introduction
13.4.4 Google Revenue in Machine Learning in Communication Business (2015-2020)
13.4.5 Google Recent Development
13.5 Nextiva
13.5.1 Nextiva Company Details
13.5.2 Nextiva Business Overview and Its Total Revenue
13.5.3 Nextiva Machine Learning in Communication Introduction
13.5.4 Nextiva Revenue in Machine Learning in Communication Business (2015-2020)
13.5.5 Nextiva Recent Development
13.6 Nexmo
13.6.1 Nexmo Company Details
13.6.2 Nexmo Business Overview and Its Total Revenue
13.6.3 Nexmo Machine Learning in Communication Introduction
13.6.4 Nexmo Revenue in Machine Learning in Communication Business (2015-2020)
13.6.5 Nexmo Recent Development
13.7 Twilio
13.7.1 Twilio Company Details
13.7.2 Twilio Business Overview and Its Total Revenue
13.7.3 Twilio Machine Learning in Communication Introduction
13.7.4 Twilio Revenue in Machine Learning in Communication Business (2015-2020)
13.7.5 Twilio Recent Development
13.8 Dialpad
13.8.1 Dialpad Company Details
13.8.2 Dialpad Business Overview and Its Total Revenue
13.8.3 Dialpad Machine Learning in Communication Introduction
13.8.4 Dialpad Revenue in Machine Learning in Communication Business (2015-2020)
13.8.5 Dialpad Recent Development
13.9 Cisco
13.9.1 Cisco Company Details
13.9.2 Cisco Business Overview and Its Total Revenue
13.9.3 Cisco Machine Learning in Communication Introduction
13.9.4 Cisco Revenue in Machine Learning in Communication Business (2015-2020)
13.9.5 Cisco Recent Development
13.10 RingCentral
13.10.1 RingCentral Company Details
13.10.2 RingCentral Business Overview and Its Total Revenue
13.10.3 RingCentral Machine Learning in Communication Introduction
13.10.4 RingCentral Revenue in Machine Learning in Communication Business (2015-2020)
13.10.5 RingCentral Recent Development
14 ANALYST'S VIEWPOINTS/CONCLUSIONS
15 APPENDIX
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.2 Data Source
15.2 Disclaimer
15.3 Author Details
LIST OF TABLES
Table 1. Machine Learning in Communication Key Market Segments
Table 2. Key Players Covered: Ranking by Machine Learning in Communication Revenue
Table 3. Ranking of Global Top Machine Learning in Communication Manufacturers by Revenue (US$ Million) in 2019
Table 4. Global Machine Learning in Communication Market Size Growth Rate by Type (US$ Million): 2020 VS 2026
Table 5. Key Players of Cloud-Based
Table 6. Key Players of On-Premise
Table 7. COVID-19 Impact Global Market: (Four Machine Learning in Communication Market Size Forecast Scenarios)
Table 8. Opportunities and Trends for Machine Learning in Communication Players in the COVID-19 Landscape
Table 9. Present Opportunities in China & Elsewhere Due to the Coronavirus Crisis
Table 10. Key Regions/Countries Measures against Covid-19 Impact
Table 11. Proposal for Machine Learning in Communication Players to Combat Covid-19 Impact
Table 12. Global Machine Learning in Communication Market Size Growth by Application (US$ Million): 2020 VS 2026
Table 13. Global Machine Learning in Communication Market Size by Regions (US$ Million): 2020 VS 2026
Table 14. Global Machine Learning in Communication Market Size by Regions (2015-2020) (US$ Million)
Table 15. Global Machine Learning in Communication Market Share by Regions (2015-2020)
Table 16. Global Machine Learning in Communication Forecasted Market Size by Regions (2021-2026) (US$ Million)
Table 17. Global Machine Learning in Communication Market Share by Regions (2021-2026)
Table 18. Market Top Trends
Table 19. Key Drivers: Impact Analysis
Table 20. Key Challenges
Table 21. Machine Learning in Communication Market Growth Strategy
Table 22. Main Points Interviewed from Key Machine Learning in Communication Players
Table 23. Global Machine Learning in Communication Revenue by Players (2015-2020) (Million US$)
Table 24. Global Machine Learning in Communication Market Share by Players (2015-2020)
Table 25. Global Top Machine Learning in Communication Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Machine Learning in Communication as of 2019)
Table 26. Global Machine Learning in Communication by Players Market Concentration Ratio (CR5 and HHI)
Table 27. Key Players Headquarters and Area Served
Table 28. Key Players Machine Learning in Communication Product Solution and Service
Table 29. Date of Enter into Machine Learning in Communication Market
Table 30. Mergers & Acquisitions, Expansion Plans
Table 31. Global Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 32. Global Machine Learning in Communication Market Size Share by Type (2015-2020)
Table 33. Global Machine Learning in Communication Revenue Market Share by Type (2021-2026)
Table 34. Global Machine Learning in Communication Market Size Share by Application (2015-2020)
Table 35. Global Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 36. Global Machine Learning in Communication Market Size Share by Application (2021-2026)
Table 37. North America Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 38. North America Key Players Machine Learning in Communication Market Share (2019-2020)
Table 39. North America Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 40. North America Machine Learning in Communication Market Share by Type (2015-2020)
Table 41. North America Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 42. North America Machine Learning in Communication Market Share by Application (2015-2020)
Table 43. Europe Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 44. Europe Key Players Machine Learning in Communication Market Share (2019-2020)
Table 45. Europe Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 46. Europe Machine Learning in Communication Market Share by Type (2015-2020)
Table 47. Europe Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 48. Europe Machine Learning in Communication Market Share by Application (2015-2020)
Table 49. China Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 50. China Key Players Machine Learning in Communication Market Share (2019-2020)
Table 51. China Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 52. China Machine Learning in Communication Market Share by Type (2015-2020)
Table 53. China Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 54. China Machine Learning in Communication Market Share by Application (2015-2020)
Table 55. Japan Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 56. Japan Key Players Machine Learning in Communication Market Share (2019-2020)
Table 57. Japan Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 58. Japan Machine Learning in Communication Market Share by Type (2015-2020)
Table 59. Japan Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 60. Japan Machine Learning in Communication Market Share by Application (2015-2020)
Table 61. Southeast Asia Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 62. Southeast Asia Key Players Machine Learning in Communication Market Share (2019-2020)
Table 63. Southeast Asia Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 64. Southeast Asia Machine Learning in Communication Market Share by Type (2015-2020)
Table 65. Southeast Asia Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 66. Southeast Asia Machine Learning in Communication Market Share by Application (2015-2020)
Table 67. India Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 68. India Key Players Machine Learning in Communication Market Share (2019-2020)
Table 69. India Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 70. India Machine Learning in Communication Market Share by Type (2015-2020)
Table 71. India Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 72. India Machine Learning in Communication Market Share by Application (2015-2020)
Table 73. Central & South America Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 74. Central & South America Key Players Machine Learning in Communication Market Share (2019-2020)
Table 75. Central & South America Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 76. Central & South America Machine Learning in Communication Market Share by Type (2015-2020)
Table 77. Central & South America Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 78. Central & South America Machine Learning in Communication Market Share by Application (2015-2020)
Table 79. Amazon Company Details
Table 80. Amazon Business Overview
Table 81. Amazon Product
Table 82. Amazon Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 83. Amazon Recent Development
Table 84. IBM Company Details
Table 85. IBM Business Overview
Table 86. IBM Product
Table 87. IBM Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 88. IBM Recent Development
Table 89. Microsoft Company Details
Table 90. Microsoft Business Overview
Table 91. Microsoft Product
Table 92. Microsoft Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 93. Microsoft Recent Development
Table 94. Google Company Details
Table 95. Google Business Overview
Table 96. Google Product
Table 97. Google Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 98. Google Recent Development
Table 99. Nextiva Company Details
Table 100. Nextiva Business Overview
Table 101. Nextiva Product
Table 102. Nextiva Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 103. Nextiva Recent Development
Table 104. Nexmo Company Details
Table 105. Nexmo Business Overview
Table 106. Nexmo Product
Table 107. Nexmo Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 108. Nexmo Recent Development
Table 109. Twilio Company Details
Table 110. Twilio Business Overview
Table 111. Twilio Product
Table 112. Twilio Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 113. Twilio Recent Development
Table 114. Dialpad Business Overview
Table 115. Dialpad Product
Table 116. Dialpad Company Details
Table 117. Dialpad Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 118. Dialpad Recent Development
Table 119. Cisco Company Details
Table 120. Cisco Business Overview
Table 121. Cisco Product
Table 122. Cisco Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 123. Cisco Recent Development
Table 124. RingCentral Company Details
Table 125. RingCentral Business Overview
Table 126. RingCentral Product
Table 127. RingCentral Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 128. RingCentral Recent Development
Table 129. Research Programs/Design for This Report
Table 130. Key Data Information from Secondary Sources
Table 131. Key Data Information from Primary Sources
Table 1. Machine Learning in Communication Key Market Segments
Table 2. Key Players Covered: Ranking by Machine Learning in Communication Revenue
Table 3. Ranking of Global Top Machine Learning in Communication Manufacturers by Revenue (US$ Million) in 2019
Table 4. Global Machine Learning in Communication Market Size Growth Rate by Type (US$ Million): 2020 VS 2026
Table 5. Key Players of Cloud-Based
Table 6. Key Players of On-Premise
Table 7. COVID-19 Impact Global Market: (Four Machine Learning in Communication Market Size Forecast Scenarios)
Table 8. Opportunities and Trends for Machine Learning in Communication Players in the COVID-19 Landscape
Table 9. Present Opportunities in China & Elsewhere Due to the Coronavirus Crisis
Table 10. Key Regions/Countries Measures against Covid-19 Impact
Table 11. Proposal for Machine Learning in Communication Players to Combat Covid-19 Impact
Table 12. Global Machine Learning in Communication Market Size Growth by Application (US$ Million): 2020 VS 2026
Table 13. Global Machine Learning in Communication Market Size by Regions (US$ Million): 2020 VS 2026
Table 14. Global Machine Learning in Communication Market Size by Regions (2015-2020) (US$ Million)
Table 15. Global Machine Learning in Communication Market Share by Regions (2015-2020)
Table 16. Global Machine Learning in Communication Forecasted Market Size by Regions (2021-2026) (US$ Million)
Table 17. Global Machine Learning in Communication Market Share by Regions (2021-2026)
Table 18. Market Top Trends
Table 19. Key Drivers: Impact Analysis
Table 20. Key Challenges
Table 21. Machine Learning in Communication Market Growth Strategy
Table 22. Main Points Interviewed from Key Machine Learning in Communication Players
Table 23. Global Machine Learning in Communication Revenue by Players (2015-2020) (Million US$)
Table 24. Global Machine Learning in Communication Market Share by Players (2015-2020)
Table 25. Global Top Machine Learning in Communication Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Machine Learning in Communication as of 2019)
Table 26. Global Machine Learning in Communication by Players Market Concentration Ratio (CR5 and HHI)
Table 27. Key Players Headquarters and Area Served
Table 28. Key Players Machine Learning in Communication Product Solution and Service
Table 29. Date of Enter into Machine Learning in Communication Market
Table 30. Mergers & Acquisitions, Expansion Plans
Table 31. Global Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 32. Global Machine Learning in Communication Market Size Share by Type (2015-2020)
Table 33. Global Machine Learning in Communication Revenue Market Share by Type (2021-2026)
Table 34. Global Machine Learning in Communication Market Size Share by Application (2015-2020)
Table 35. Global Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 36. Global Machine Learning in Communication Market Size Share by Application (2021-2026)
Table 37. North America Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 38. North America Key Players Machine Learning in Communication Market Share (2019-2020)
Table 39. North America Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 40. North America Machine Learning in Communication Market Share by Type (2015-2020)
Table 41. North America Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 42. North America Machine Learning in Communication Market Share by Application (2015-2020)
Table 43. Europe Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 44. Europe Key Players Machine Learning in Communication Market Share (2019-2020)
Table 45. Europe Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 46. Europe Machine Learning in Communication Market Share by Type (2015-2020)
Table 47. Europe Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 48. Europe Machine Learning in Communication Market Share by Application (2015-2020)
Table 49. China Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 50. China Key Players Machine Learning in Communication Market Share (2019-2020)
Table 51. China Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 52. China Machine Learning in Communication Market Share by Type (2015-2020)
Table 53. China Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 54. China Machine Learning in Communication Market Share by Application (2015-2020)
Table 55. Japan Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 56. Japan Key Players Machine Learning in Communication Market Share (2019-2020)
Table 57. Japan Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 58. Japan Machine Learning in Communication Market Share by Type (2015-2020)
Table 59. Japan Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 60. Japan Machine Learning in Communication Market Share by Application (2015-2020)
Table 61. Southeast Asia Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 62. Southeast Asia Key Players Machine Learning in Communication Market Share (2019-2020)
Table 63. Southeast Asia Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 64. Southeast Asia Machine Learning in Communication Market Share by Type (2015-2020)
Table 65. Southeast Asia Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 66. Southeast Asia Machine Learning in Communication Market Share by Application (2015-2020)
Table 67. India Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 68. India Key Players Machine Learning in Communication Market Share (2019-2020)
Table 69. India Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 70. India Machine Learning in Communication Market Share by Type (2015-2020)
Table 71. India Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 72. India Machine Learning in Communication Market Share by Application (2015-2020)
Table 73. Central & South America Key Players Machine Learning in Communication Revenue (2019-2020) (Million US$)
Table 74. Central & South America Key Players Machine Learning in Communication Market Share (2019-2020)
Table 75. Central & South America Machine Learning in Communication Market Size by Type (2015-2020) (Million US$)
Table 76. Central & South America Machine Learning in Communication Market Share by Type (2015-2020)
Table 77. Central & South America Machine Learning in Communication Market Size by Application (2015-2020) (Million US$)
Table 78. Central & South America Machine Learning in Communication Market Share by Application (2015-2020)
Table 79. Amazon Company Details
Table 80. Amazon Business Overview
Table 81. Amazon Product
Table 82. Amazon Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 83. Amazon Recent Development
Table 84. IBM Company Details
Table 85. IBM Business Overview
Table 86. IBM Product
Table 87. IBM Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 88. IBM Recent Development
Table 89. Microsoft Company Details
Table 90. Microsoft Business Overview
Table 91. Microsoft Product
Table 92. Microsoft Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 93. Microsoft Recent Development
Table 94. Google Company Details
Table 95. Google Business Overview
Table 96. Google Product
Table 97. Google Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 98. Google Recent Development
Table 99. Nextiva Company Details
Table 100. Nextiva Business Overview
Table 101. Nextiva Product
Table 102. Nextiva Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 103. Nextiva Recent Development
Table 104. Nexmo Company Details
Table 105. Nexmo Business Overview
Table 106. Nexmo Product
Table 107. Nexmo Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 108. Nexmo Recent Development
Table 109. Twilio Company Details
Table 110. Twilio Business Overview
Table 111. Twilio Product
Table 112. Twilio Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 113. Twilio Recent Development
Table 114. Dialpad Business Overview
Table 115. Dialpad Product
Table 116. Dialpad Company Details
Table 117. Dialpad Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 118. Dialpad Recent Development
Table 119. Cisco Company Details
Table 120. Cisco Business Overview
Table 121. Cisco Product
Table 122. Cisco Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 123. Cisco Recent Development
Table 124. RingCentral Company Details
Table 125. RingCentral Business Overview
Table 126. RingCentral Product
Table 127. RingCentral Revenue in Machine Learning in Communication Business (2015-2020) (Million US$)
Table 128. RingCentral Recent Development
Table 129. Research Programs/Design for This Report
Table 130. Key Data Information from Secondary Sources
Table 131. Key Data Information from Primary Sources
LIST OF FIGURES
Figure 1. Global Machine Learning in Communication Market Share by Type: 2020 VS 2026
Figure 2. Cloud-Based Features
Figure 3. On-Premise Features
Figure 4. Global Machine Learning in Communication Market Share by Application: 2020 VS 2026
Figure 5. Network Optimization Case Studies
Figure 6. Predictive Maintenance Case Studies
Figure 7. Virtual Assistants Case Studies
Figure 8. Robotic Process Automation (RPA) Case Studies
Figure 9. Machine Learning in Communication Report Years Considered
Figure 10. Global Machine Learning in Communication Market Size YoY Growth 2015-2026 (US$ Million)
Figure 11. Global Machine Learning in Communication Market Share by Regions: 2020 VS 2026
Figure 12. Global Machine Learning in Communication Market Share by Regions (2021-2026)
Figure 13. Porter's Five Forces Analysis
Figure 14. Global Machine Learning in Communication Market Share by Players in 2019
Figure 15. Global Top Machine Learning in Communication Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Machine Learning in Communication as of 2019
Figure 16. The Top 10 and 5 Players Market Share by Machine Learning in Communication Revenue in 2019
Figure 17. North America Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 18. Europe Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 19. China Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 20. Japan Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 21. Southeast Asia Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 22. India Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 23. Central & South America Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 24. Amazon Total Revenue (US$ Million): 2019 Compared with 2018
Figure 25. Amazon Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 26. IBM Total Revenue (US$ Million): 2019 Compared with 2018
Figure 27. IBM Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 28. Microsoft Total Revenue (US$ Million): 2019 Compared with 2018
Figure 29. Microsoft Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 30. Google Total Revenue (US$ Million): 2019 Compared with 2018
Figure 31. Google Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 32. Nextiva Total Revenue (US$ Million): 2019 Compared with 2018
Figure 33. Nextiva Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 34. Nexmo Total Revenue (US$ Million): 2019 Compared with 2018
Figure 35. Nexmo Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 36. Twilio Total Revenue (US$ Million): 2019 Compared with 2018
Figure 37. Twilio Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 38. Dialpad Total Revenue (US$ Million): 2019 Compared with 2018
Figure 39. Dialpad Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 40. Cisco Total Revenue (US$ Million): 2019 Compared with 2018
Figure 41. Cisco Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 42. RingCentral Total Revenue (US$ Million): 2019 Compared with 2018
Figure 43. RingCentral Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 44. Bottom-up and Top-down Approaches for This Report
Figure 45. Data Triangulation
Figure 46. Key Executives Interviewed
Figure 1. Global Machine Learning in Communication Market Share by Type: 2020 VS 2026
Figure 2. Cloud-Based Features
Figure 3. On-Premise Features
Figure 4. Global Machine Learning in Communication Market Share by Application: 2020 VS 2026
Figure 5. Network Optimization Case Studies
Figure 6. Predictive Maintenance Case Studies
Figure 7. Virtual Assistants Case Studies
Figure 8. Robotic Process Automation (RPA) Case Studies
Figure 9. Machine Learning in Communication Report Years Considered
Figure 10. Global Machine Learning in Communication Market Size YoY Growth 2015-2026 (US$ Million)
Figure 11. Global Machine Learning in Communication Market Share by Regions: 2020 VS 2026
Figure 12. Global Machine Learning in Communication Market Share by Regions (2021-2026)
Figure 13. Porter's Five Forces Analysis
Figure 14. Global Machine Learning in Communication Market Share by Players in 2019
Figure 15. Global Top Machine Learning in Communication Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Machine Learning in Communication as of 2019
Figure 16. The Top 10 and 5 Players Market Share by Machine Learning in Communication Revenue in 2019
Figure 17. North America Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 18. Europe Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 19. China Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 20. Japan Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 21. Southeast Asia Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 22. India Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 23. Central & South America Machine Learning in Communication Market Size YoY Growth (2015-2020) (Million US$)
Figure 24. Amazon Total Revenue (US$ Million): 2019 Compared with 2018
Figure 25. Amazon Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 26. IBM Total Revenue (US$ Million): 2019 Compared with 2018
Figure 27. IBM Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 28. Microsoft Total Revenue (US$ Million): 2019 Compared with 2018
Figure 29. Microsoft Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 30. Google Total Revenue (US$ Million): 2019 Compared with 2018
Figure 31. Google Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 32. Nextiva Total Revenue (US$ Million): 2019 Compared with 2018
Figure 33. Nextiva Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 34. Nexmo Total Revenue (US$ Million): 2019 Compared with 2018
Figure 35. Nexmo Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 36. Twilio Total Revenue (US$ Million): 2019 Compared with 2018
Figure 37. Twilio Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 38. Dialpad Total Revenue (US$ Million): 2019 Compared with 2018
Figure 39. Dialpad Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 40. Cisco Total Revenue (US$ Million): 2019 Compared with 2018
Figure 41. Cisco Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 42. RingCentral Total Revenue (US$ Million): 2019 Compared with 2018
Figure 43. RingCentral Revenue Growth Rate in Machine Learning in Communication Business (2015-2020)
Figure 44. Bottom-up and Top-down Approaches for This Report
Figure 45. Data Triangulation
Figure 46. Key Executives Interviewed
