Go AI Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Go AI Software - Market

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.

The global market for Go AI Software was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.

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.

Report Scope

This report aims to provide a comprehensive presentation of the global market for Go AI Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Go AI Software by region & country, by Type, and by Application.

The Go AI Software market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Go AI Software.

Market Segmentation

Scope of Go AI Software - Market Report

Chapter Outline

1.1 Go AI Software Product Introduction

1.2 Global Go AI Software Market Size Forecast

1.3 Go AI Software Market Trends & Drivers

1.3.1 Go AI Software Industry Trends

1.3.2 Go AI Software Market Drivers & Opportunity

1.3.3 Go AI Software Market Challenges

1.3.4 Go AI Software Market Restraints

1.4 Assumptions and Limitations

1.5 Study Objectives

1.6 Years Considered

2.1 Global Go AI Software Players Revenue Ranking (2023)

2.2 Global Go AI Software Revenue by Company (2019-2024)

2.3 Key Companies Go AI Software Manufacturing Base Distribution and Headquarters

2.4 Key Companies Go AI Software Product Offered

2.5 Key Companies Time to Begin Mass Production of Go AI Software

2.6 Go AI Software Market Competitive Analysis

2.6.1 Go AI Software Market Concentration Rate (2019-2024)

2.6.2 Global 5 and 10 Largest Companies by Go AI Software Revenue in 2023

2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Go AI Software as of 2023)

2.7 Mergers & Acquisitions, Expansion

3.1 Introduction by Type

3.1.1 Cloud-Based

3.1.2 On-Premises

3.2 Global Go AI Software Sales Value by Type

3.2.1 Global Go AI Software Sales Value by Type (2019 VS 2023 VS 2030)

3.2.2 Global Go AI Software Sales Value, by Type (2019-2030)

3.2.3 Global Go AI Software Sales Value, by Type (%) (2019-2030)

4.1 Introduction by Application

4.1.1 Professional Training

4.1.2 Amateur Training

4.2 Global Go AI Software Sales Value by Application

4.2.1 Global Go AI Software Sales Value by Application (2019 VS 2023 VS 2030)

4.2.2 Global Go AI Software Sales Value, by Application (2019-2030)

4.2.3 Global Go AI Software Sales Value, by Application (%) (2019-2030)

5.1 Global Go AI Software Sales Value by Region

5.1.1 Global Go AI Software Sales Value by Region: 2019 VS 2023 VS 2030

5.1.2 Global Go AI Software Sales Value by Region (2019-2024)

5.1.3 Global Go AI Software Sales Value by Region (2025-2030)

5.1.4 Global Go AI Software Sales Value by Region (%), (2019-2030)

5.2 North America

5.2.1 North America Go AI Software Sales Value, 2019-2030

5.2.2 North America Go AI Software Sales Value by Country (%), 2023 VS 2030

5.3 Europe

5.3.1 Europe Go AI Software Sales Value, 2019-2030

5.3.2 Europe Go AI Software Sales Value by Country (%), 2023 VS 2030

5.4 Asia Pacific

5.4.1 Asia Pacific Go AI Software Sales Value, 2019-2030

5.4.2 Asia Pacific Go AI Software Sales Value by Country (%), 2023 VS 2030

5.5 South America

5.5.1 South America Go AI Software Sales Value, 2019-2030

5.5.2 South America Go AI Software Sales Value by Country (%), 2023 VS 2030

5.6 Middle East & Africa

5.6.1 Middle East & Africa Go AI Software Sales Value, 2019-2030

5.6.2 Middle East & Africa Go AI Software Sales Value by Country (%), 2023 VS 2030

6.1 Key Countries/Regions Go AI Software Sales Value Growth Trends, 2019 VS 2023 VS 2030

6.2 Key Countries/Regions Go AI Software Sales Value

6.3 United States

6.3.1 United States Go AI Software Sales Value, 2019-2030

6.3.2 United States Go AI Software Sales Value by Type (%), 2023 VS 2030

6.3.3 United States Go AI Software Sales Value by Application, 2023 VS 2030

6.4 Europe

6.4.1 Europe Go AI Software Sales Value, 2019-2030

6.4.2 Europe Go AI Software Sales Value by Type (%), 2023 VS 2030

6.4.3 Europe Go AI Software Sales Value by Application, 2023 VS 2030

6.5 China

6.5.1 China Go AI Software Sales Value, 2019-2030

6.5.2 China Go AI Software Sales Value by Type (%), 2023 VS 2030

6.5.3 China Go AI Software Sales Value by Application, 2023 VS 2030

6.6 Japan

6.6.1 Japan Go AI Software Sales Value, 2019-2030

6.6.2 Japan Go AI Software Sales Value by Type (%), 2023 VS 2030

6.6.3 Japan Go AI Software Sales Value by Application, 2023 VS 2030

6.7 South Korea

6.7.1 South Korea Go AI Software Sales Value, 2019-2030

6.7.2 South Korea Go AI Software Sales Value by Type (%), 2023 VS 2030

6.7.3 South Korea Go AI Software Sales Value by Application, 2023 VS 2030

6.8 Southeast Asia

6.8.1 Southeast Asia Go AI Software Sales Value, 2019-2030

6.8.2 Southeast Asia Go AI Software Sales Value by Type (%), 2023 VS 2030

6.8.3 Southeast Asia Go AI Software Sales Value by Application, 2023 VS 2030

6.9 India

6.9.1 India Go AI Software Sales Value, 2019-2030

6.9.2 India Go AI Software Sales Value by Type (%), 2023 VS 2030

6.9.3 India Go AI Software Sales Value by Application, 2023 VS 2030

7.1 DeepMind (Google)

7.1.1 DeepMind (Google) Profile

7.1.2 DeepMind (Google) Main Business

7.1.3 DeepMind (Google) Go AI Software Products, Services and Solutions

7.1.4 DeepMind (Google) Go AI Software Revenue (US$ Million) & (2019-2024)

7.1.5 DeepMind (Google) Recent Developments

7.2 Tencent

7.2.1 Tencent Profile

7.2.2 Tencent Main Business

7.2.3 Tencent Go AI Software Products, Services and Solutions

7.2.4 Tencent Go AI Software Revenue (US$ Million) & (2019-2024)

7.2.5 Tencent Recent Developments

7.3 Shanghai Tianrang Intelligence Technology

7.3.1 Shanghai Tianrang Intelligence Technology Profile

7.3.2 Shanghai Tianrang Intelligence Technology Main Business

7.3.3 Shanghai Tianrang Intelligence Technology Go AI Software Products, Services and Solutions

7.3.4 Shanghai Tianrang Intelligence Technology Go AI Software Revenue (US$ Million) & (2019-2024)

7.3.5 Facebook (Meta Platforms) Recent Developments

7.4 Facebook (Meta Platforms)

7.4.1 Facebook (Meta Platforms) Profile

7.4.2 Facebook (Meta Platforms) Main Business

7.4.3 Facebook (Meta Platforms) Go AI Software Products, Services and Solutions

7.4.4 Facebook (Meta Platforms) Go AI Software Revenue (US$ Million) & (2019-2024)

7.4.5 Facebook (Meta Platforms) Recent Developments

7.5 Beijing Thinker Technology

7.5.1 Beijing Thinker Technology Profile

7.5.2 Beijing Thinker Technology Main Business

7.5.3 Beijing Thinker Technology Go AI Software Products, Services and Solutions

7.5.4 Beijing Thinker Technology Go AI Software Revenue (US$ Million) & (2019-2024)

7.5.5 Beijing Thinker Technology Recent Developments

7.6 KataGo

7.6.1 KataGo Profile

7.6.2 KataGo Main Business

7.6.3 KataGo Go AI Software Products, Services and Solutions

7.6.4 KataGo Go AI Software Revenue (US$ Million) & (2019-2024)

7.6.5 KataGo Recent Developments

7.7 Globis Corporation

7.7.1 Globis Corporation Profile

7.7.2 Globis Corporation Main Business

7.7.3 Globis Corporation Go AI Software Products, Services and Solutions

7.7.4 Globis Corporation Go AI Software Revenue (US$ Million) & (2019-2024)

7.7.5 Globis Corporation Recent Developments

8.1 Go AI Software Industrial Chain

8.2 Go AI Software Upstream Analysis

8.2.1 Key Raw Materials

8.2.2 Raw Materials Key Suppliers

8.2.3 Manufacturing Cost Structure

8.3 Midstream Analysis

8.4 Downstream Analysis (Customers Analysis)

8.5 Sales Model and Sales Channels

8.5.1 Go AI Software Sales Model

8.5.2 Sales Channel

8.5.3 Go AI Software Distributors

10.1 Research Methodology

10.1.1 Methodology/Research Approach

10.1.2 Data Source

10.2 Author Details

10.3 Disclaimer

List of Tables

    Table 1. Go AI Software Market Trends

    Table 2. Go AI Software Market Drivers & Opportunity

    Table 3. Go AI Software Market Challenges

    Table 4. Go AI Software Market Restraints

    Table 5. Global Go AI Software Revenue by Company (2019-2024) & (US$ Million)

    Table 6. Global Go AI Software Revenue Market Share by Company (2019-2024)

    Table 7. Key Companies Go AI Software Manufacturing Base Distribution and Headquarters

    Table 8. Key Companies Go AI Software Product Type

    Table 9. Key Companies Time to Begin Mass Production of Go AI Software

    Table 10. Global Go AI Software Companies Market Concentration Ratio (CR5 and HHI)

    Table 11. Global Top Companies Market Share by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Go AI Software as of 2023)

    Table 12. Mergers & Acquisitions, Expansion Plans

    Table 13. Global Go AI Software Sales Value by Type: 2019 VS 2023 VS 2030 (US$ Million)

    Table 14. Global Go AI Software Sales Value by Type (2019-2024) & (US$ Million)

    Table 15. Global Go AI Software Sales Value by Type (2025-2030) & (US$ Million)

    Table 16. Global Go AI Software Sales Market Share in Value by Type (2019-2024) & (%)

    Table 17. Global Go AI Software Sales Market Share in Value by Type (2025-2030) & (%)

    Table 18. Global Go AI Software Sales Value by Application: 2019 VS 2023 VS 2030 (US$ Million)

    Table 19. Global Go AI Software Sales Value by Application (2019-2024) & (US$ Million)

    Table 20. Global Go AI Software Sales Value by Application (2025-2030) & (US$ Million)

    Table 21. Global Go AI Software Sales Market Share in Value by Application (2019-2024) & (%)

    Table 22. Global Go AI Software Sales Market Share in Value by Application (2025-2030) & (%)

    Table 23. Global Go AI Software Sales Value by Region: 2019 VS 2023 VS 2030 (US$ Million)

    Table 24. Global Go AI Software Sales Value by Region (2019-2024) & (US$ Million)

    Table 25. Global Go AI Software Sales Value by Region (2025-2030) & (US$ Million)

    Table 26. Global Go AI Software Sales Value by Region (2019-2024) & (%)

    Table 27. Global Go AI Software Sales Value by Region (2025-2030) & (%)

    Table 28. Key Countries/Regions Go AI Software Sales Value Growth Trends, (US$ Million): 2019 VS 2023 VS 2030

    Table 29. Key Countries/Regions Go AI Software Sales Value, (2019-2024) & (US$ Million)

    Table 30. Key Countries/Regions Go AI Software Sales Value, (2025-2030) & (US$ Million)

    Table 31. DeepMind (Google) Basic Information List

    Table 32. DeepMind (Google) Description and Business Overview

    Table 33. DeepMind (Google) Go AI Software Products, Services and Solutions

    Table 34. Revenue (US$ Million) in Go AI Software Business of DeepMind (Google) (2019-2024)

    Table 35. DeepMind (Google) Recent Developments

    Table 36. Tencent Basic Information List

    Table 37. Tencent Description and Business Overview

    Table 38. Tencent Go AI Software Products, Services and Solutions

    Table 39. Revenue (US$ Million) in Go AI Software Business of Tencent (2019-2024)

    Table 40. Tencent Recent Developments

    Table 41. Shanghai Tianrang Intelligence Technology Basic Information List

    Table 42. Shanghai Tianrang Intelligence Technology Description and Business Overview

    Table 43. Shanghai Tianrang Intelligence Technology Go AI Software Products, Services and Solutions

    Table 44. Revenue (US$ Million) in Go AI Software Business of Shanghai Tianrang Intelligence Technology (2019-2024)

    Table 45. Shanghai Tianrang Intelligence Technology Recent Developments

    Table 46. Facebook (Meta Platforms) Basic Information List

    Table 47. Facebook (Meta Platforms) Description and Business Overview

    Table 48. Facebook (Meta Platforms) Go AI Software Products, Services and Solutions

    Table 49. Revenue (US$ Million) in Go AI Software Business of Facebook (Meta Platforms) (2019-2024)

    Table 50. Facebook (Meta Platforms) Recent Developments

    Table 51. Beijing Thinker Technology Basic Information List

    Table 52. Beijing Thinker Technology Description and Business Overview

    Table 53. Beijing Thinker Technology Go AI Software Products, Services and Solutions

    Table 54. Revenue (US$ Million) in Go AI Software Business of Beijing Thinker Technology (2019-2024)

    Table 55. Beijing Thinker Technology Recent Developments

    Table 56. KataGo Basic Information List

    Table 57. KataGo Description and Business Overview

    Table 58. KataGo Go AI Software Products, Services and Solutions

    Table 59. Revenue (US$ Million) in Go AI Software Business of KataGo (2019-2024)

    Table 60. KataGo Recent Developments

    Table 61. Globis Corporation Basic Information List

    Table 62. Globis Corporation Description and Business Overview

    Table 63. Globis Corporation Go AI Software Products, Services and Solutions

    Table 64. Revenue (US$ Million) in Go AI Software Business of Globis Corporation (2019-2024)

    Table 65. Globis Corporation Recent Developments

    Table 66. Key Raw Materials Lists

    Table 67. Raw Materials Key Suppliers Lists

    Table 68. Go AI Software Downstream Customers

    Table 69. Go AI Software Distributors List

    Table 70. Research Programs/Design for This Report

    Table 71. Key Data Information from Secondary Sources

    Table 72. Key Data Information from Primary Sources

    Table 73. Business Unit and Senior & Team Lead Analysts

List of Figures

    Figure 1. Go AI Software Product Picture

    Figure 2. Global Go AI Software Sales Value, 2019 VS 2023 VS 2030 (US$ Million)

    Figure 3. Global Go AI Software Sales Value (2019-2030) & (US$ Million)

    Figure 4. Go AI Software Report Years Considered

    Figure 5. Global Go AI Software Players Revenue Ranking (2023) & (US$ Million)

    Figure 6. The 5 and 10 Largest Manufacturers in the World: Market Share by Go AI Software Revenue in 2023

    Figure 7. Go AI Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3): 2019 VS 2023

    Figure 8. Cloud-Based Picture

    Figure 9. On-Premises Picture

    Figure 10. Global Go AI Software Sales Value by Type (2019 VS 2023 VS 2030) & (US$ Million)

    Figure 11. Global Go AI Software Sales Value Market Share by Type, 2023 & 2030

    Figure 12. Product Picture of Professional Training

    Figure 13. Product Picture of Amateur Training

    Figure 14. Global Go AI Software Sales Value by Application (2019 VS 2023 VS 2030) & (US$ Million)

    Figure 15. Global Go AI Software Sales Value Market Share by Application, 2023 & 2030

    Figure 16. North America Go AI Software Sales Value (2019-2030) & (US$ Million)

    Figure 17. North America Go AI Software Sales Value by Country (%), 2023 VS 2030

    Figure 18. Europe Go AI Software Sales Value (2019-2030) & (US$ Million)

    Figure 19. Europe Go AI Software Sales Value by Country (%), 2023 VS 2030

    Figure 20. Asia Pacific Go AI Software Sales Value (2019-2030) & (US$ Million)

    Figure 21. Asia Pacific Go AI Software Sales Value by Country (%), 2023 VS 2030

    Figure 22. South America Go AI Software Sales Value (2019-2030) & (US$ Million)

    Figure 23. South America Go AI Software Sales Value by Country (%), 2023 VS 2030

    Figure 24. Middle East & Africa Go AI Software Sales Value (2019-2030) & (US$ Million)

    Figure 25. Middle East & Africa Go AI Software Sales Value by Country (%), 2023 VS 2030

    Figure 26. Key Countries/Regions Go AI Software Sales Value (%), (2019-2030)

    Figure 27. United States Go AI Software Sales Value, (2019-2030) & (US$ Million)

    Figure 28. United States Go AI Software Sales Value by Type (%), 2023 VS 2030

    Figure 29. United States Go AI Software Sales Value by Application (%), 2023 VS 2030

    Figure 30. Europe Go AI Software Sales Value, (2019-2030) & (US$ Million)

    Figure 31. Europe Go AI Software Sales Value by Type (%), 2023 VS 2030

    Figure 32. Europe Go AI Software Sales Value by Application (%), 2023 VS 2030

    Figure 33. China Go AI Software Sales Value, (2019-2030) & (US$ Million)

    Figure 34. China Go AI Software Sales Value by Type (%), 2023 VS 2030

    Figure 35. China Go AI Software Sales Value by Application (%), 2023 VS 2030

    Figure 36. Japan Go AI Software Sales Value, (2019-2030) & (US$ Million)

    Figure 37. Japan Go AI Software Sales Value by Type (%), 2023 VS 2030

    Figure 38. Japan Go AI Software Sales Value by Application (%), 2023 VS 2030

    Figure 39. South Korea Go AI Software Sales Value, (2019-2030) & (US$ Million)

    Figure 40. South Korea Go AI Software Sales Value by Type (%), 2023 VS 2030

    Figure 41. South Korea Go AI Software Sales Value by Application (%), 2023 VS 2030

    Figure 42. Southeast Asia Go AI Software Sales Value, (2019-2030) & (US$ Million)

    Figure 43. Southeast Asia Go AI Software Sales Value by Type (%), 2023 VS 2030

    Figure 44. Southeast Asia Go AI Software Sales Value by Application (%), 2023 VS 2030

    Figure 45. India Go AI Software Sales Value, (2019-2030) & (US$ Million)

    Figure 46. India Go AI Software Sales Value by Type (%), 2023 VS 2030

    Figure 47. India Go AI Software Sales Value by Application (%), 2023 VS 2030

    Figure 48. Go AI Software Industrial Chain

    Figure 49. Go AI Software Manufacturing Cost Structure

    Figure 50. Channels of Distribution (Direct Sales, and Distribution)

    Figure 51. Bottom-up and Top-down Approaches for This Report

    Figure 52. Data Triangulation