Global Go AI Software Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Global Go AI Software Market 2023 by Company, Regions, Type and Application, Forecast to 2029

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Published Date: 17 Jun 2023

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  • sp_icon1 sp_icon1_b Description
  • sp_icon2 sp_icon2_b Table of Contents
  • sp_icon3 sp_icon3_b Table of Figures
  • sp_icon4 sp_icon4_b Research Methodology
  • sp_icon1 sp_icon1_b Companies Mentioned
  • sp_icon1 sp_icon1_b Related Reports
  • sp_icon1 sp_icon1_b Product Tags
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Description

According to our (Global Info Research) latest study, the global Go AI Software market size was valued at USD million in 2022 and is forecast to a readjusted size of USD million by 2029 with a CAGR of % during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

The market prospects of Go AI software are highly promising due to several key factors: 1. Rising popularity of Go: The global popularity of the ancient board game Go has been on the rise, driven in part by the success of Go AI software applications such as AlphaGo. As more people become interested in playing and learning the game, the demand for Go AI software as a learning tool and opponent will continue to grow. 2. Advancements in artificial intelligence: Go AI software represents a notable achievement in the field of artificial intelligence. The successful development of powerful AI algorithms capable of playing and analyzing Go has sparked interest and excitement among AI researchers and enthusiasts. This technological progress and the potential for further advancements further enhance the market prospects of Go AI software. 3. Competitive and learning opportunities: Go AI software provides players at all skill levels with valuable opportunities for improvement and engagement. Beginners can learn from the analysis and insights provided by these programs, while more experienced players can challenge themselves against strong virtual opponents. The accessibility and availability of Go AI software make it a valuable tool for honing skills and participating in competitive play. 4. Integration with online platforms: Go AI software can be seamlessly integrated into online platforms and applications, allowing players to engage with the software from various devices and locations. This integration facilitates online learning, competitive play, and even participation in global tournaments. The convenience and portability of Go AI software through online platforms contribute to its market prospects. 5. Potential for broader AI applications: The success of Go AI software has implications beyond the game itself. The techniques and algorithms developed for Go AI have the potential for application in other complex problem-solving domains, driving further interest and investment in the field.

In conclusion, the market prospects of Go AI software are highly promising, driven by the rising popularity of Go, advancements in artificial intelligence, the appeal of competitive and learning opportunities, integration with online platforms, and the potential for broader AI applications. As the demand for Go AI software continues to grow, it presents both commercial opportunities for developers and valuable tools for players seeking to enhance their Go skills and engagement.

Go AI software refers to advanced artificial intelligence programs specifically designed to play and analyze the ancient board game of Go. Go is a highly complex and strategic game with a vast number of possible moves and board configurations, making it a challenging task for traditional AI algorithms.

Go AI software utilizes cutting-edge machine learning and deep neural network techniques to develop algorithms that can effectively play and analyze the game. These programs have demonstrated remarkable proficiency in playing against human players and even top professional Go players. Go AI software is typically trained using large data sets of expert human games, enabling the algorithm to learn from experienced players' strategies and decision-making processes. Additionally, reinforcement learning techniques are employed to refine the software's performance through self-play. The key features of Go AI software include the ability to evaluate board positions, search for optimal moves, and provide analysis and insights into game variations and strategies. It can simulate countless future moves and assess their potential outcomes, aiding players in their decision-making processes and enhancing their understanding of the game.

The development and success of Go AI software, such as AlphaGo and its successors, have significantly influenced the game of Go. It has provided new insights and strategies, challenging human players to further improve their skills and approach to the game. Moreover, Go AI software has expanded the accessibility of the game. Players of all levels can play against strong virtual opponents, receive analysis and feedback on their games, and learn from the software's strategic prowess. This has opened up new avenues for online learning, training, and competitive play.

In conclusion, Go AI software represents a groundbreaking use of artificial intelligence in the context of the complex game of Go. It leverages machine learning techniques to provide players with powerful analysis tools, challenging opponents, and opportunities for learning and improvement. As the technology evolves, Go AI software continues to play an influential role in the world of Go, pushing the boundaries of strategic possibilities and engaging players of all levels.

This report is a detailed and comprehensive analysis for global Go AI Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.

Key Features:
Global Go AI Software market size and forecasts, in consumption value ($ Million), 2018-2029
Global Go AI Software market size and forecasts by region and country, in consumption value ($ Million), 2018-2029
Global Go AI Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029
Global Go AI Software market shares of main players, in revenue ($ Million), 2018-2023
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Go AI Software
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Go AI Software market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include DeepMind (Google), Tencent, Shanghai Tianrang Intelligence Technology, Facebook (Meta Platforms) and Beijing Thinker Technology, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Market segmentation
Go AI Software market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Cloud-Based
On-Premises

Market segment by Application
Professional Training
Amateur Training

Market segment by players, this report covers
DeepMind (Google)
Tencent
Shanghai Tianrang Intelligence Technology
Facebook (Meta Platforms)
Beijing Thinker Technology
KataGo
Globis Corporation

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Go AI Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Go AI Software, with revenue, gross margin and global market share of Go AI Software from 2018 to 2023.
Chapter 3, the Go AI Software competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Go AI Software market forecast, by regions, type and application, with consumption value, from 2024 to 2029.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War
Chapter 12, the key raw materials and key suppliers, and industry chain of Go AI Software.
Chapter 13, to describe Go AI Software research findings and conclusion.
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Table of Contents

1 Market Overview
1.1 Product Overview and Scope of Go AI Software
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Go AI Software by Type
1.3.1 Overview: Global Go AI Software Market Size by Type: 2018 Versus 2022 Versus 2029
1.3.2 Global Go AI Software Consumption Value Market Share by Type in 2022
1.3.3 Cloud-Based
1.3.4 On-Premises
1.4 Global Go AI Software Market by Application
1.4.1 Overview: Global Go AI Software Market Size by Application: 2018 Versus 2022 Versus 2029
1.4.2 Professional Training
1.4.3 Amateur Training
1.5 Global Go AI Software Market Size & Forecast
1.6 Global Go AI Software Market Size and Forecast by Region
1.6.1 Global Go AI Software Market Size by Region: 2018 VS 2022 VS 2029
1.6.2 Global Go AI Software Market Size by Region, (2018-2029)
1.6.3 North America Go AI Software Market Size and Prospect (2018-2029)
1.6.4 Europe Go AI Software Market Size and Prospect (2018-2029)
1.6.5 Asia-Pacific Go AI Software Market Size and Prospect (2018-2029)
1.6.6 South America Go AI Software Market Size and Prospect (2018-2029)
1.6.7 Middle East and Africa Go AI Software Market Size and Prospect (2018-2029)

2 Company Profiles
2.1 DeepMind (Google)
2.1.1 DeepMind (Google) Details
2.1.2 DeepMind (Google) Major Business
2.1.3 DeepMind (Google) Go AI Software Product and Solutions
2.1.4 DeepMind (Google) Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.1.5 DeepMind (Google) Recent Developments and Future Plans
2.2 Tencent
2.2.1 Tencent Details
2.2.2 Tencent Major Business
2.2.3 Tencent Go AI Software Product and Solutions
2.2.4 Tencent Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.2.5 Tencent Recent Developments and Future Plans
2.3 Shanghai Tianrang Intelligence Technology
2.3.1 Shanghai Tianrang Intelligence Technology Details
2.3.2 Shanghai Tianrang Intelligence Technology Major Business
2.3.3 Shanghai Tianrang Intelligence Technology Go AI Software Product and Solutions
2.3.4 Shanghai Tianrang Intelligence Technology Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.3.5 Shanghai Tianrang Intelligence Technology Recent Developments and Future Plans
2.4 Facebook (Meta Platforms)
2.4.1 Facebook (Meta Platforms) Details
2.4.2 Facebook (Meta Platforms) Major Business
2.4.3 Facebook (Meta Platforms) Go AI Software Product and Solutions
2.4.4 Facebook (Meta Platforms) Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.4.5 Facebook (Meta Platforms) Recent Developments and Future Plans
2.5 Beijing Thinker Technology
2.5.1 Beijing Thinker Technology Details
2.5.2 Beijing Thinker Technology Major Business
2.5.3 Beijing Thinker Technology Go AI Software Product and Solutions
2.5.4 Beijing Thinker Technology Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.5.5 Beijing Thinker Technology Recent Developments and Future Plans
2.6 KataGo
2.6.1 KataGo Details
2.6.2 KataGo Major Business
2.6.3 KataGo Go AI Software Product and Solutions
2.6.4 KataGo Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.6.5 KataGo Recent Developments and Future Plans
2.7 Globis Corporation
2.7.1 Globis Corporation Details
2.7.2 Globis Corporation Major Business
2.7.3 Globis Corporation Go AI Software Product and Solutions
2.7.4 Globis Corporation Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.7.5 Globis Corporation Recent Developments and Future Plans

3 Market Competition, by Players
3.1 Global Go AI Software Revenue and Share by Players (2018-2023)
3.2 Market Share Analysis (2022)
3.2.1 Market Share of Go AI Software by Company Revenue
3.2.2 Top 3 Go AI Software Players Market Share in 2022
3.2.3 Top 6 Go AI Software Players Market Share in 2022
3.3 Go AI Software Market: Overall Company Footprint Analysis
3.3.1 Go AI Software Market: Region Footprint
3.3.2 Go AI Software Market: Company Product Type Footprint
3.3.3 Go AI Software Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type
4.1 Global Go AI Software Consumption Value and Market Share by Type (2018-2023)
4.2 Global Go AI Software Market Forecast by Type (2024-2029)

5 Market Size Segment by Application
5.1 Global Go AI Software Consumption Value Market Share by Application (2018-2023)
5.2 Global Go AI Software Market Forecast by Application (2024-2029)

6 North America
6.1 North America Go AI Software Consumption Value by Type (2018-2029)
6.2 North America Go AI Software Consumption Value by Application (2018-2029)
6.3 North America Go AI Software Market Size by Country
6.3.1 North America Go AI Software Consumption Value by Country (2018-2029)
6.3.2 United States Go AI Software Market Size and Forecast (2018-2029)
6.3.3 Canada Go AI Software Market Size and Forecast (2018-2029)
6.3.4 Mexico Go AI Software Market Size and Forecast (2018-2029)

7 Europe
7.1 Europe Go AI Software Consumption Value by Type (2018-2029)
7.2 Europe Go AI Software Consumption Value by Application (2018-2029)
7.3 Europe Go AI Software Market Size by Country
7.3.1 Europe Go AI Software Consumption Value by Country (2018-2029)
7.3.2 Germany Go AI Software Market Size and Forecast (2018-2029)
7.3.3 France Go AI Software Market Size and Forecast (2018-2029)
7.3.4 United Kingdom Go AI Software Market Size and Forecast (2018-2029)
7.3.5 Russia Go AI Software Market Size and Forecast (2018-2029)
7.3.6 Italy Go AI Software Market Size and Forecast (2018-2029)

8 Asia-Pacific
8.1 Asia-Pacific Go AI Software Consumption Value by Type (2018-2029)
8.2 Asia-Pacific Go AI Software Consumption Value by Application (2018-2029)
8.3 Asia-Pacific Go AI Software Market Size by Region
8.3.1 Asia-Pacific Go AI Software Consumption Value by Region (2018-2029)
8.3.2 China Go AI Software Market Size and Forecast (2018-2029)
8.3.3 Japan Go AI Software Market Size and Forecast (2018-2029)
8.3.4 South Korea Go AI Software Market Size and Forecast (2018-2029)
8.3.5 India Go AI Software Market Size and Forecast (2018-2029)
8.3.6 Southeast Asia Go AI Software Market Size and Forecast (2018-2029)
8.3.7 Australia Go AI Software Market Size and Forecast (2018-2029)

9 South America
9.1 South America Go AI Software Consumption Value by Type (2018-2029)
9.2 South America Go AI Software Consumption Value by Application (2018-2029)
9.3 South America Go AI Software Market Size by Country
9.3.1 South America Go AI Software Consumption Value by Country (2018-2029)
9.3.2 Brazil Go AI Software Market Size and Forecast (2018-2029)
9.3.3 Argentina Go AI Software Market Size and Forecast (2018-2029)

10 Middle East & Africa
10.1 Middle East & Africa Go AI Software Consumption Value by Type (2018-2029)
10.2 Middle East & Africa Go AI Software Consumption Value by Application (2018-2029)
10.3 Middle East & Africa Go AI Software Market Size by Country
10.3.1 Middle East & Africa Go AI Software Consumption Value by Country (2018-2029)
10.3.2 Turkey Go AI Software Market Size and Forecast (2018-2029)
10.3.3 Saudi Arabia Go AI Software Market Size and Forecast (2018-2029)
10.3.4 UAE Go AI Software Market Size and Forecast (2018-2029)

11 Market Dynamics
11.1 Go AI Software Market Drivers
11.2 Go AI Software Market Restraints
11.3 Go AI Software Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
11.5 Influence of COVID-19 and Russia-Ukraine War
11.5.1 Influence of COVID-19
11.5.2 Influence of Russia-Ukraine War

12 Industry Chain Analysis
12.1 Go AI Software Industry Chain
12.2 Go AI Software Upstream Analysis
12.3 Go AI Software Midstream Analysis
12.4 Go AI Software Downstream Analysis

13 Research Findings and Conclusion

14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
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Table of Figures

List of Tables
Table 1. Global Go AI Software Consumption Value by Type, (USD Million), 2018 & 2022 & 2029
Table 2. Global Go AI Software Consumption Value by Application, (USD Million), 2018 & 2022 & 2029
Table 3. Global Go AI Software Consumption Value by Region (2018-2023) & (USD Million)
Table 4. Global Go AI Software Consumption Value by Region (2024-2029) & (USD Million)
Table 5. DeepMind (Google) Company Information, Head Office, and Major Competitors
Table 6. DeepMind (Google) Major Business
Table 7. DeepMind (Google) Go AI Software Product and Solutions
Table 8. DeepMind (Google) Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 9. DeepMind (Google) Recent Developments and Future Plans
Table 10. Tencent Company Information, Head Office, and Major Competitors
Table 11. Tencent Major Business
Table 12. Tencent Go AI Software Product and Solutions
Table 13. Tencent Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 14. Tencent Recent Developments and Future Plans
Table 15. Shanghai Tianrang Intelligence Technology Company Information, Head Office, and Major Competitors
Table 16. Shanghai Tianrang Intelligence Technology Major Business
Table 17. Shanghai Tianrang Intelligence Technology Go AI Software Product and Solutions
Table 18. Shanghai Tianrang Intelligence Technology Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 19. Shanghai Tianrang Intelligence Technology Recent Developments and Future Plans
Table 20. Facebook (Meta Platforms) Company Information, Head Office, and Major Competitors
Table 21. Facebook (Meta Platforms) Major Business
Table 22. Facebook (Meta Platforms) Go AI Software Product and Solutions
Table 23. Facebook (Meta Platforms) Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 24. Facebook (Meta Platforms) Recent Developments and Future Plans
Table 25. Beijing Thinker Technology Company Information, Head Office, and Major Competitors
Table 26. Beijing Thinker Technology Major Business
Table 27. Beijing Thinker Technology Go AI Software Product and Solutions
Table 28. Beijing Thinker Technology Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 29. Beijing Thinker Technology Recent Developments and Future Plans
Table 30. KataGo Company Information, Head Office, and Major Competitors
Table 31. KataGo Major Business
Table 32. KataGo Go AI Software Product and Solutions
Table 33. KataGo Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 34. KataGo Recent Developments and Future Plans
Table 35. Globis Corporation Company Information, Head Office, and Major Competitors
Table 36. Globis Corporation Major Business
Table 37. Globis Corporation Go AI Software Product and Solutions
Table 38. Globis Corporation Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 39. Globis Corporation Recent Developments and Future Plans
Table 40. Global Go AI Software Revenue (USD Million) by Players (2018-2023)
Table 41. Global Go AI Software Revenue Share by Players (2018-2023)
Table 42. Breakdown of Go AI Software by Company Type (Tier 1, Tier 2, and Tier 3)
Table 43. Market Position of Players in Go AI Software, (Tier 1, Tier 2, and Tier 3), Based on Revenue in 2022
Table 44. Head Office of Key Go AI Software Players
Table 45. Go AI Software Market: Company Product Type Footprint
Table 46. Go AI Software Market: Company Product Application Footprint
Table 47. Go AI Software New Market Entrants and Barriers to Market Entry
Table 48. Go AI Software Mergers, Acquisition, Agreements, and Collaborations
Table 49. Global Go AI Software Consumption Value (USD Million) by Type (2018-2023)
Table 50. Global Go AI Software Consumption Value Share by Type (2018-2023)
Table 51. Global Go AI Software Consumption Value Forecast by Type (2024-2029)
Table 52. Global Go AI Software Consumption Value by Application (2018-2023)
Table 53. Global Go AI Software Consumption Value Forecast by Application (2024-2029)
Table 54. North America Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 55. North America Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 56. North America Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 57. North America Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 58. North America Go AI Software Consumption Value by Country (2018-2023) & (USD Million)
Table 59. North America Go AI Software Consumption Value by Country (2024-2029) & (USD Million)
Table 60. Europe Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 61. Europe Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 62. Europe Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 63. Europe Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 64. Europe Go AI Software Consumption Value by Country (2018-2023) & (USD Million)
Table 65. Europe Go AI Software Consumption Value by Country (2024-2029) & (USD Million)
Table 66. Asia-Pacific Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 67. Asia-Pacific Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 68. Asia-Pacific Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 69. Asia-Pacific Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 70. Asia-Pacific Go AI Software Consumption Value by Region (2018-2023) & (USD Million)
Table 71. Asia-Pacific Go AI Software Consumption Value by Region (2024-2029) & (USD Million)
Table 72. South America Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 73. South America Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 74. South America Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 75. South America Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 76. South America Go AI Software Consumption Value by Country (2018-2023) & (USD Million)
Table 77. South America Go AI Software Consumption Value by Country (2024-2029) & (USD Million)
Table 78. Middle East & Africa Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 79. Middle East & Africa Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 80. Middle East & Africa Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 81. Middle East & Africa Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 82. Middle East & Africa Go AI Software Consumption Value by Country (2018-2023) & (USD Million)
Table 83. Middle East & Africa Go AI Software Consumption Value by Country (2024-2029) & (USD Million)
Table 84. Go AI Software Raw Material
Table 85. Key Suppliers of Go AI Software Raw Materials
List of Figures
Figure 1. Go AI Software Picture
Figure 2. Global Go AI Software Consumption Value by Type, (USD Million), 2018 & 2022 & 2029
Figure 3. Global Go AI Software Consumption Value Market Share by Type in 2022
Figure 4. Cloud-Based
Figure 5. On-Premises
Figure 6. Global Go AI Software Consumption Value by Type, (USD Million), 2018 & 2022 & 2029
Figure 7. Go AI Software Consumption Value Market Share by Application in 2022
Figure 8. Professional Training Picture
Figure 9. Amateur Training Picture
Figure 10. Global Go AI Software Consumption Value, (USD Million): 2018 & 2022 & 2029
Figure 11. Global Go AI Software Consumption Value and Forecast (2018-2029) & (USD Million)
Figure 12. Global Market Go AI Software Consumption Value (USD Million) Comparison by Region (2018 & 2022 & 2029)
Figure 13. Global Go AI Software Consumption Value Market Share by Region (2018-2029)
Figure 14. Global Go AI Software Consumption Value Market Share by Region in 2022
Figure 15. North America Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 16. Europe Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 17. Asia-Pacific Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 18. South America Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 19. Middle East and Africa Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 20. Global Go AI Software Revenue Share by Players in 2022
Figure 21. Go AI Software Market Share by Company Type (Tier 1, Tier 2 and Tier 3) in 2022
Figure 22. Global Top 3 Players Go AI Software Market Share in 2022
Figure 23. Global Top 6 Players Go AI Software Market Share in 2022
Figure 24. Global Go AI Software Consumption Value Share by Type (2018-2023)
Figure 25. Global Go AI Software Market Share Forecast by Type (2024-2029)
Figure 26. Global Go AI Software Consumption Value Share by Application (2018-2023)
Figure 27. Global Go AI Software Market Share Forecast by Application (2024-2029)
Figure 28. North America Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 29. North America Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 30. North America Go AI Software Consumption Value Market Share by Country (2018-2029)
Figure 31. United States Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 32. Canada Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 33. Mexico Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 34. Europe Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 35. Europe Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 36. Europe Go AI Software Consumption Value Market Share by Country (2018-2029)
Figure 37. Germany Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 38. France Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 39. United Kingdom Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 40. Russia Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 41. Italy Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 42. Asia-Pacific Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 43. Asia-Pacific Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 44. Asia-Pacific Go AI Software Consumption Value Market Share by Region (2018-2029)
Figure 45. China Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 46. Japan Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 47. South Korea Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 48. India Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 49. Southeast Asia Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 50. Australia Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 51. South America Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 52. South America Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 53. South America Go AI Software Consumption Value Market Share by Country (2018-2029)
Figure 54. Brazil Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 55. Argentina Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 56. Middle East and Africa Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 57. Middle East and Africa Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 58. Middle East and Africa Go AI Software Consumption Value Market Share by Country (2018-2029)
Figure 59. Turkey Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 60. Saudi Arabia Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 61. UAE Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 62. Go AI Software Market Drivers
Figure 63. Go AI Software Market Restraints
Figure 64. Go AI Software Market Trends
Figure 65. Porters Five Forces Analysis
Figure 66. Manufacturing Cost Structure Analysis of Go AI Software in 2022
Figure 67. Manufacturing Process Analysis of Go AI Software
Figure 68. Go AI Software Industrial Chain
Figure 69. Methodology
Figure 70. Research Process and Data Source
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Research Methodology

Client Requirements

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Review and analyze client requirements

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Discussion of all the project requirements and queries

Flexibility Check

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Project Feasibility Analysis

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Finalizing tentative research programme

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Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

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Determination of key drivers, restraints, challenge, and opportunity

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Identifies market needs and trends

Market Size Estimation & Forecast

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Estimation of historical data based on secondary and primary data

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Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

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Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

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Consideration of geography, region-specific product/service demand for region segments

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Consideration of product utilization rates, product demand outlook for segments by application or end-user.

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Data Source

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Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

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Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts to verify insights.

Validation and
triangulation of
secondary and primary source.

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Collection of data

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Cumulating and collating the essential qualitative and quantitative data

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Generation of report in client requested format by research analysts

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Reviews by expert analysts

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Final quality check

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Clarifying queries

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Receiving feedback

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Ensuring satisfaction

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    01 Identification of data

    This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.

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    02 Evaluation of Market Dynamic

    This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.

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    03 Collection of Data

    This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.

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    04 Collaboration of Data

    This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.

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    05 Verification and Analysis

    This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

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Companies Mentioned

DeepMind (Google)
Tencent
Shanghai Tianrang Intelligence Technology
Facebook (Meta Platforms)
Beijing Thinker Technology
KataGo
Globis Corporation
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Global Go AI Software Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Global Go AI Software Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Page: 87

Published Date: 17 Jun 2023

Category: Service & Software

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Description

According to our (Global Info Research) latest study, the global Go AI Software market size was valued at USD million in 2022 and is forecast to a readjusted size of USD million by 2029 with a CAGR of % during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

The market prospects of Go AI software are highly promising due to several key factors: 1. Rising popularity of Go: The global popularity of the ancient board game Go has been on the rise, driven in part by the success of Go AI software applications such as AlphaGo. As more people become interested in playing and learning the game, the demand for Go AI software as a learning tool and opponent will continue to grow. 2. Advancements in artificial intelligence: Go AI software represents a notable achievement in the field of artificial intelligence. The successful development of powerful AI algorithms capable of playing and analyzing Go has sparked interest and excitement among AI researchers and enthusiasts. This technological progress and the potential for further advancements further enhance the market prospects of Go AI software. 3. Competitive and learning opportunities: Go AI software provides players at all skill levels with valuable opportunities for improvement and engagement. Beginners can learn from the analysis and insights provided by these programs, while more experienced players can challenge themselves against strong virtual opponents. The accessibility and availability of Go AI software make it a valuable tool for honing skills and participating in competitive play. 4. Integration with online platforms: Go AI software can be seamlessly integrated into online platforms and applications, allowing players to engage with the software from various devices and locations. This integration facilitates online learning, competitive play, and even participation in global tournaments. The convenience and portability of Go AI software through online platforms contribute to its market prospects. 5. Potential for broader AI applications: The success of Go AI software has implications beyond the game itself. The techniques and algorithms developed for Go AI have the potential for application in other complex problem-solving domains, driving further interest and investment in the field.

In conclusion, the market prospects of Go AI software are highly promising, driven by the rising popularity of Go, advancements in artificial intelligence, the appeal of competitive and learning opportunities, integration with online platforms, and the potential for broader AI applications. As the demand for Go AI software continues to grow, it presents both commercial opportunities for developers and valuable tools for players seeking to enhance their Go skills and engagement.

Go AI software refers to advanced artificial intelligence programs specifically designed to play and analyze the ancient board game of Go. Go is a highly complex and strategic game with a vast number of possible moves and board configurations, making it a challenging task for traditional AI algorithms.

Go AI software utilizes cutting-edge machine learning and deep neural network techniques to develop algorithms that can effectively play and analyze the game. These programs have demonstrated remarkable proficiency in playing against human players and even top professional Go players. Go AI software is typically trained using large data sets of expert human games, enabling the algorithm to learn from experienced players' strategies and decision-making processes. Additionally, reinforcement learning techniques are employed to refine the software's performance through self-play. The key features of Go AI software include the ability to evaluate board positions, search for optimal moves, and provide analysis and insights into game variations and strategies. It can simulate countless future moves and assess their potential outcomes, aiding players in their decision-making processes and enhancing their understanding of the game.

The development and success of Go AI software, such as AlphaGo and its successors, have significantly influenced the game of Go. It has provided new insights and strategies, challenging human players to further improve their skills and approach to the game. Moreover, Go AI software has expanded the accessibility of the game. Players of all levels can play against strong virtual opponents, receive analysis and feedback on their games, and learn from the software's strategic prowess. This has opened up new avenues for online learning, training, and competitive play.

In conclusion, Go AI software represents a groundbreaking use of artificial intelligence in the context of the complex game of Go. It leverages machine learning techniques to provide players with powerful analysis tools, challenging opponents, and opportunities for learning and improvement. As the technology evolves, Go AI software continues to play an influential role in the world of Go, pushing the boundaries of strategic possibilities and engaging players of all levels.

This report is a detailed and comprehensive analysis for global Go AI Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.

Key Features:
Global Go AI Software market size and forecasts, in consumption value ($ Million), 2018-2029
Global Go AI Software market size and forecasts by region and country, in consumption value ($ Million), 2018-2029
Global Go AI Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029
Global Go AI Software market shares of main players, in revenue ($ Million), 2018-2023
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Go AI Software
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Go AI Software market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include DeepMind (Google), Tencent, Shanghai Tianrang Intelligence Technology, Facebook (Meta Platforms) and Beijing Thinker Technology, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Market segmentation
Go AI Software market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Cloud-Based
On-Premises

Market segment by Application
Professional Training
Amateur Training

Market segment by players, this report covers
DeepMind (Google)
Tencent
Shanghai Tianrang Intelligence Technology
Facebook (Meta Platforms)
Beijing Thinker Technology
KataGo
Globis Corporation

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Go AI Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Go AI Software, with revenue, gross margin and global market share of Go AI Software from 2018 to 2023.
Chapter 3, the Go AI Software competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Go AI Software market forecast, by regions, type and application, with consumption value, from 2024 to 2029.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War
Chapter 12, the key raw materials and key suppliers, and industry chain of Go AI Software.
Chapter 13, to describe Go AI Software research findings and conclusion.
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Table of Contents

1 Market Overview
1.1 Product Overview and Scope of Go AI Software
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Go AI Software by Type
1.3.1 Overview: Global Go AI Software Market Size by Type: 2018 Versus 2022 Versus 2029
1.3.2 Global Go AI Software Consumption Value Market Share by Type in 2022
1.3.3 Cloud-Based
1.3.4 On-Premises
1.4 Global Go AI Software Market by Application
1.4.1 Overview: Global Go AI Software Market Size by Application: 2018 Versus 2022 Versus 2029
1.4.2 Professional Training
1.4.3 Amateur Training
1.5 Global Go AI Software Market Size & Forecast
1.6 Global Go AI Software Market Size and Forecast by Region
1.6.1 Global Go AI Software Market Size by Region: 2018 VS 2022 VS 2029
1.6.2 Global Go AI Software Market Size by Region, (2018-2029)
1.6.3 North America Go AI Software Market Size and Prospect (2018-2029)
1.6.4 Europe Go AI Software Market Size and Prospect (2018-2029)
1.6.5 Asia-Pacific Go AI Software Market Size and Prospect (2018-2029)
1.6.6 South America Go AI Software Market Size and Prospect (2018-2029)
1.6.7 Middle East and Africa Go AI Software Market Size and Prospect (2018-2029)

2 Company Profiles
2.1 DeepMind (Google)
2.1.1 DeepMind (Google) Details
2.1.2 DeepMind (Google) Major Business
2.1.3 DeepMind (Google) Go AI Software Product and Solutions
2.1.4 DeepMind (Google) Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.1.5 DeepMind (Google) Recent Developments and Future Plans
2.2 Tencent
2.2.1 Tencent Details
2.2.2 Tencent Major Business
2.2.3 Tencent Go AI Software Product and Solutions
2.2.4 Tencent Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.2.5 Tencent Recent Developments and Future Plans
2.3 Shanghai Tianrang Intelligence Technology
2.3.1 Shanghai Tianrang Intelligence Technology Details
2.3.2 Shanghai Tianrang Intelligence Technology Major Business
2.3.3 Shanghai Tianrang Intelligence Technology Go AI Software Product and Solutions
2.3.4 Shanghai Tianrang Intelligence Technology Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.3.5 Shanghai Tianrang Intelligence Technology Recent Developments and Future Plans
2.4 Facebook (Meta Platforms)
2.4.1 Facebook (Meta Platforms) Details
2.4.2 Facebook (Meta Platforms) Major Business
2.4.3 Facebook (Meta Platforms) Go AI Software Product and Solutions
2.4.4 Facebook (Meta Platforms) Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.4.5 Facebook (Meta Platforms) Recent Developments and Future Plans
2.5 Beijing Thinker Technology
2.5.1 Beijing Thinker Technology Details
2.5.2 Beijing Thinker Technology Major Business
2.5.3 Beijing Thinker Technology Go AI Software Product and Solutions
2.5.4 Beijing Thinker Technology Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.5.5 Beijing Thinker Technology Recent Developments and Future Plans
2.6 KataGo
2.6.1 KataGo Details
2.6.2 KataGo Major Business
2.6.3 KataGo Go AI Software Product and Solutions
2.6.4 KataGo Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.6.5 KataGo Recent Developments and Future Plans
2.7 Globis Corporation
2.7.1 Globis Corporation Details
2.7.2 Globis Corporation Major Business
2.7.3 Globis Corporation Go AI Software Product and Solutions
2.7.4 Globis Corporation Go AI Software Revenue, Gross Margin and Market Share (2018-2023)
2.7.5 Globis Corporation Recent Developments and Future Plans

3 Market Competition, by Players
3.1 Global Go AI Software Revenue and Share by Players (2018-2023)
3.2 Market Share Analysis (2022)
3.2.1 Market Share of Go AI Software by Company Revenue
3.2.2 Top 3 Go AI Software Players Market Share in 2022
3.2.3 Top 6 Go AI Software Players Market Share in 2022
3.3 Go AI Software Market: Overall Company Footprint Analysis
3.3.1 Go AI Software Market: Region Footprint
3.3.2 Go AI Software Market: Company Product Type Footprint
3.3.3 Go AI Software Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type
4.1 Global Go AI Software Consumption Value and Market Share by Type (2018-2023)
4.2 Global Go AI Software Market Forecast by Type (2024-2029)

5 Market Size Segment by Application
5.1 Global Go AI Software Consumption Value Market Share by Application (2018-2023)
5.2 Global Go AI Software Market Forecast by Application (2024-2029)

6 North America
6.1 North America Go AI Software Consumption Value by Type (2018-2029)
6.2 North America Go AI Software Consumption Value by Application (2018-2029)
6.3 North America Go AI Software Market Size by Country
6.3.1 North America Go AI Software Consumption Value by Country (2018-2029)
6.3.2 United States Go AI Software Market Size and Forecast (2018-2029)
6.3.3 Canada Go AI Software Market Size and Forecast (2018-2029)
6.3.4 Mexico Go AI Software Market Size and Forecast (2018-2029)

7 Europe
7.1 Europe Go AI Software Consumption Value by Type (2018-2029)
7.2 Europe Go AI Software Consumption Value by Application (2018-2029)
7.3 Europe Go AI Software Market Size by Country
7.3.1 Europe Go AI Software Consumption Value by Country (2018-2029)
7.3.2 Germany Go AI Software Market Size and Forecast (2018-2029)
7.3.3 France Go AI Software Market Size and Forecast (2018-2029)
7.3.4 United Kingdom Go AI Software Market Size and Forecast (2018-2029)
7.3.5 Russia Go AI Software Market Size and Forecast (2018-2029)
7.3.6 Italy Go AI Software Market Size and Forecast (2018-2029)

8 Asia-Pacific
8.1 Asia-Pacific Go AI Software Consumption Value by Type (2018-2029)
8.2 Asia-Pacific Go AI Software Consumption Value by Application (2018-2029)
8.3 Asia-Pacific Go AI Software Market Size by Region
8.3.1 Asia-Pacific Go AI Software Consumption Value by Region (2018-2029)
8.3.2 China Go AI Software Market Size and Forecast (2018-2029)
8.3.3 Japan Go AI Software Market Size and Forecast (2018-2029)
8.3.4 South Korea Go AI Software Market Size and Forecast (2018-2029)
8.3.5 India Go AI Software Market Size and Forecast (2018-2029)
8.3.6 Southeast Asia Go AI Software Market Size and Forecast (2018-2029)
8.3.7 Australia Go AI Software Market Size and Forecast (2018-2029)

9 South America
9.1 South America Go AI Software Consumption Value by Type (2018-2029)
9.2 South America Go AI Software Consumption Value by Application (2018-2029)
9.3 South America Go AI Software Market Size by Country
9.3.1 South America Go AI Software Consumption Value by Country (2018-2029)
9.3.2 Brazil Go AI Software Market Size and Forecast (2018-2029)
9.3.3 Argentina Go AI Software Market Size and Forecast (2018-2029)

10 Middle East & Africa
10.1 Middle East & Africa Go AI Software Consumption Value by Type (2018-2029)
10.2 Middle East & Africa Go AI Software Consumption Value by Application (2018-2029)
10.3 Middle East & Africa Go AI Software Market Size by Country
10.3.1 Middle East & Africa Go AI Software Consumption Value by Country (2018-2029)
10.3.2 Turkey Go AI Software Market Size and Forecast (2018-2029)
10.3.3 Saudi Arabia Go AI Software Market Size and Forecast (2018-2029)
10.3.4 UAE Go AI Software Market Size and Forecast (2018-2029)

11 Market Dynamics
11.1 Go AI Software Market Drivers
11.2 Go AI Software Market Restraints
11.3 Go AI Software Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
11.5 Influence of COVID-19 and Russia-Ukraine War
11.5.1 Influence of COVID-19
11.5.2 Influence of Russia-Ukraine War

12 Industry Chain Analysis
12.1 Go AI Software Industry Chain
12.2 Go AI Software Upstream Analysis
12.3 Go AI Software Midstream Analysis
12.4 Go AI Software Downstream Analysis

13 Research Findings and Conclusion

14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
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Table of Figures

List of Tables
Table 1. Global Go AI Software Consumption Value by Type, (USD Million), 2018 & 2022 & 2029
Table 2. Global Go AI Software Consumption Value by Application, (USD Million), 2018 & 2022 & 2029
Table 3. Global Go AI Software Consumption Value by Region (2018-2023) & (USD Million)
Table 4. Global Go AI Software Consumption Value by Region (2024-2029) & (USD Million)
Table 5. DeepMind (Google) Company Information, Head Office, and Major Competitors
Table 6. DeepMind (Google) Major Business
Table 7. DeepMind (Google) Go AI Software Product and Solutions
Table 8. DeepMind (Google) Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 9. DeepMind (Google) Recent Developments and Future Plans
Table 10. Tencent Company Information, Head Office, and Major Competitors
Table 11. Tencent Major Business
Table 12. Tencent Go AI Software Product and Solutions
Table 13. Tencent Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 14. Tencent Recent Developments and Future Plans
Table 15. Shanghai Tianrang Intelligence Technology Company Information, Head Office, and Major Competitors
Table 16. Shanghai Tianrang Intelligence Technology Major Business
Table 17. Shanghai Tianrang Intelligence Technology Go AI Software Product and Solutions
Table 18. Shanghai Tianrang Intelligence Technology Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 19. Shanghai Tianrang Intelligence Technology Recent Developments and Future Plans
Table 20. Facebook (Meta Platforms) Company Information, Head Office, and Major Competitors
Table 21. Facebook (Meta Platforms) Major Business
Table 22. Facebook (Meta Platforms) Go AI Software Product and Solutions
Table 23. Facebook (Meta Platforms) Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 24. Facebook (Meta Platforms) Recent Developments and Future Plans
Table 25. Beijing Thinker Technology Company Information, Head Office, and Major Competitors
Table 26. Beijing Thinker Technology Major Business
Table 27. Beijing Thinker Technology Go AI Software Product and Solutions
Table 28. Beijing Thinker Technology Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 29. Beijing Thinker Technology Recent Developments and Future Plans
Table 30. KataGo Company Information, Head Office, and Major Competitors
Table 31. KataGo Major Business
Table 32. KataGo Go AI Software Product and Solutions
Table 33. KataGo Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 34. KataGo Recent Developments and Future Plans
Table 35. Globis Corporation Company Information, Head Office, and Major Competitors
Table 36. Globis Corporation Major Business
Table 37. Globis Corporation Go AI Software Product and Solutions
Table 38. Globis Corporation Go AI Software Revenue (USD Million), Gross Margin and Market Share (2018-2023)
Table 39. Globis Corporation Recent Developments and Future Plans
Table 40. Global Go AI Software Revenue (USD Million) by Players (2018-2023)
Table 41. Global Go AI Software Revenue Share by Players (2018-2023)
Table 42. Breakdown of Go AI Software by Company Type (Tier 1, Tier 2, and Tier 3)
Table 43. Market Position of Players in Go AI Software, (Tier 1, Tier 2, and Tier 3), Based on Revenue in 2022
Table 44. Head Office of Key Go AI Software Players
Table 45. Go AI Software Market: Company Product Type Footprint
Table 46. Go AI Software Market: Company Product Application Footprint
Table 47. Go AI Software New Market Entrants and Barriers to Market Entry
Table 48. Go AI Software Mergers, Acquisition, Agreements, and Collaborations
Table 49. Global Go AI Software Consumption Value (USD Million) by Type (2018-2023)
Table 50. Global Go AI Software Consumption Value Share by Type (2018-2023)
Table 51. Global Go AI Software Consumption Value Forecast by Type (2024-2029)
Table 52. Global Go AI Software Consumption Value by Application (2018-2023)
Table 53. Global Go AI Software Consumption Value Forecast by Application (2024-2029)
Table 54. North America Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 55. North America Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 56. North America Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 57. North America Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 58. North America Go AI Software Consumption Value by Country (2018-2023) & (USD Million)
Table 59. North America Go AI Software Consumption Value by Country (2024-2029) & (USD Million)
Table 60. Europe Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 61. Europe Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 62. Europe Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 63. Europe Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 64. Europe Go AI Software Consumption Value by Country (2018-2023) & (USD Million)
Table 65. Europe Go AI Software Consumption Value by Country (2024-2029) & (USD Million)
Table 66. Asia-Pacific Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 67. Asia-Pacific Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 68. Asia-Pacific Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 69. Asia-Pacific Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 70. Asia-Pacific Go AI Software Consumption Value by Region (2018-2023) & (USD Million)
Table 71. Asia-Pacific Go AI Software Consumption Value by Region (2024-2029) & (USD Million)
Table 72. South America Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 73. South America Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 74. South America Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 75. South America Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 76. South America Go AI Software Consumption Value by Country (2018-2023) & (USD Million)
Table 77. South America Go AI Software Consumption Value by Country (2024-2029) & (USD Million)
Table 78. Middle East & Africa Go AI Software Consumption Value by Type (2018-2023) & (USD Million)
Table 79. Middle East & Africa Go AI Software Consumption Value by Type (2024-2029) & (USD Million)
Table 80. Middle East & Africa Go AI Software Consumption Value by Application (2018-2023) & (USD Million)
Table 81. Middle East & Africa Go AI Software Consumption Value by Application (2024-2029) & (USD Million)
Table 82. Middle East & Africa Go AI Software Consumption Value by Country (2018-2023) & (USD Million)
Table 83. Middle East & Africa Go AI Software Consumption Value by Country (2024-2029) & (USD Million)
Table 84. Go AI Software Raw Material
Table 85. Key Suppliers of Go AI Software Raw Materials
List of Figures
Figure 1. Go AI Software Picture
Figure 2. Global Go AI Software Consumption Value by Type, (USD Million), 2018 & 2022 & 2029
Figure 3. Global Go AI Software Consumption Value Market Share by Type in 2022
Figure 4. Cloud-Based
Figure 5. On-Premises
Figure 6. Global Go AI Software Consumption Value by Type, (USD Million), 2018 & 2022 & 2029
Figure 7. Go AI Software Consumption Value Market Share by Application in 2022
Figure 8. Professional Training Picture
Figure 9. Amateur Training Picture
Figure 10. Global Go AI Software Consumption Value, (USD Million): 2018 & 2022 & 2029
Figure 11. Global Go AI Software Consumption Value and Forecast (2018-2029) & (USD Million)
Figure 12. Global Market Go AI Software Consumption Value (USD Million) Comparison by Region (2018 & 2022 & 2029)
Figure 13. Global Go AI Software Consumption Value Market Share by Region (2018-2029)
Figure 14. Global Go AI Software Consumption Value Market Share by Region in 2022
Figure 15. North America Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 16. Europe Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 17. Asia-Pacific Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 18. South America Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 19. Middle East and Africa Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 20. Global Go AI Software Revenue Share by Players in 2022
Figure 21. Go AI Software Market Share by Company Type (Tier 1, Tier 2 and Tier 3) in 2022
Figure 22. Global Top 3 Players Go AI Software Market Share in 2022
Figure 23. Global Top 6 Players Go AI Software Market Share in 2022
Figure 24. Global Go AI Software Consumption Value Share by Type (2018-2023)
Figure 25. Global Go AI Software Market Share Forecast by Type (2024-2029)
Figure 26. Global Go AI Software Consumption Value Share by Application (2018-2023)
Figure 27. Global Go AI Software Market Share Forecast by Application (2024-2029)
Figure 28. North America Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 29. North America Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 30. North America Go AI Software Consumption Value Market Share by Country (2018-2029)
Figure 31. United States Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 32. Canada Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 33. Mexico Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 34. Europe Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 35. Europe Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 36. Europe Go AI Software Consumption Value Market Share by Country (2018-2029)
Figure 37. Germany Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 38. France Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 39. United Kingdom Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 40. Russia Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 41. Italy Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 42. Asia-Pacific Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 43. Asia-Pacific Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 44. Asia-Pacific Go AI Software Consumption Value Market Share by Region (2018-2029)
Figure 45. China Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 46. Japan Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 47. South Korea Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 48. India Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 49. Southeast Asia Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 50. Australia Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 51. South America Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 52. South America Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 53. South America Go AI Software Consumption Value Market Share by Country (2018-2029)
Figure 54. Brazil Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 55. Argentina Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 56. Middle East and Africa Go AI Software Consumption Value Market Share by Type (2018-2029)
Figure 57. Middle East and Africa Go AI Software Consumption Value Market Share by Application (2018-2029)
Figure 58. Middle East and Africa Go AI Software Consumption Value Market Share by Country (2018-2029)
Figure 59. Turkey Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 60. Saudi Arabia Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 61. UAE Go AI Software Consumption Value (2018-2029) & (USD Million)
Figure 62. Go AI Software Market Drivers
Figure 63. Go AI Software Market Restraints
Figure 64. Go AI Software Market Trends
Figure 65. Porters Five Forces Analysis
Figure 66. Manufacturing Cost Structure Analysis of Go AI Software in 2022
Figure 67. Manufacturing Process Analysis of Go AI Software
Figure 68. Go AI Software Industrial Chain
Figure 69. Methodology
Figure 70. Research Process and Data Source
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Research Methodology

Client Requirements

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Review and analyze client requirements

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Discussion of all the project requirements and queries

Flexibility Check

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Project Feasibility Analysis

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Finalizing tentative research programme

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Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

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Determination of key drivers, restraints, challenge, and opportunity

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Identifies market needs and trends

Market Size Estimation & Forecast

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Estimation of historical data based on secondary and primary data

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Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

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Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

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Consideration of geography, region-specific product/service demand for region segments

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Consideration of product utilization rates, product demand outlook for segments by application or end-user.

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Data Source

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Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

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Discussion of all the project requirements and queries

Validation and triangulation of secondary and primary source.

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Collection of data

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Cumulating and collating the essential qualitative and quantitative data

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Generation of report in client requested format by research analysts

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Reviews by expert analysts

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Final quality check

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Clarifying queries

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Receiving feedback

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Ensuring satisfaction

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    01 Identification of data

    This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.

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    02 Evaluation of Market Dynamic

    This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.

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    03 Collection of Data

    This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.

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    04 Collaboration of Data

    This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.

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    05 Verification and Analysis

    This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

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Companies Mentioned

DeepMind (Google)
Tencent
Shanghai Tianrang Intelligence Technology
Facebook (Meta Platforms)
Beijing Thinker Technology
KataGo
Globis Corporation
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