Global Go AI Software Supply, Demand and Key Producers, 2024-2030

Global Go AI Software Supply, Demand and Key Producers, 2024-2030

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Published Date: 29 Feb 2024

Category: Service & Software

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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
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Description

The global Go AI Software market size is expected to reach $ million by 2030, rising at a market growth of % CAGR 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.

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 studies the global Go AI Software demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Go AI Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2023 as the base year. This report explores demand trends and competition, as well as details the characteristics of Go AI Software that contribute to its increasing demand across many markets.

Highlights and key features of the study
Global Go AI Software total market, 2019-2030, (USD Million)
Global Go AI Software total market by region & country, CAGR, 2019-2030, (USD Million)
U.S. VS China: Go AI Software total market, key domestic companies and share, (USD Million)
Global Go AI Software revenue by player and market share 2019-2024, (USD Million)
Global Go AI Software total market by Type, CAGR, 2019-2030, (USD Million)
Global Go AI Software total market by Application, CAGR, 2019-2030, (USD Million).

This reports profiles major players in the global Go AI Software market based on the following parameters – company overview, revenue, 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), Beijing Thinker Technology, KataGo and Globis Corporation, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Go AI Software market.

Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2019-2030 by year with 2023 as the base year, 2024 as the estimate year, and 2025-2030 as the forecast year.

Global Go AI Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Go AI Software Market, Segmentation by Type
Cloud-Based
On-Premises

Global Go AI Software Market, Segmentation by Application
Professional Training
Amateur Training

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

Key Questions Answered
1. How big is the global Go AI Software market?
2. What is the demand of the global Go AI Software market?
3. What is the year over year growth of the global Go AI Software market?
4. What is the total value of the global Go AI Software market?
5. Who are the major players in the global Go AI Software market?
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Table of Contents

1 Supply Summary
1.1 Go AI Software Introduction
1.2 World Go AI Software Market Size & Forecast (2019 & 2023 & 2030)
1.3 World Go AI Software Total Market by Region (by Headquarter Location)
1.3.1 World Go AI Software Market Size by Region (2019-2030), (by Headquarter Location)
1.3.2 United States Go AI Software Market Size (2019-2030)
1.3.3 China Go AI Software Market Size (2019-2030)
1.3.4 Europe Go AI Software Market Size (2019-2030)
1.3.5 Japan Go AI Software Market Size (2019-2030)
1.3.6 South Korea Go AI Software Market Size (2019-2030)
1.3.7 ASEAN Go AI Software Market Size (2019-2030)
1.3.8 India Go AI Software Market Size (2019-2030)
1.4 Market Drivers, Restraints and Trends
1.4.1 Go AI Software Market Drivers
1.4.2 Factors Affecting Demand
1.4.3 Go AI Software Major Market Trends

2 Demand Summary
2.1 World Go AI Software Consumption Value (2019-2030)
2.2 World Go AI Software Consumption Value by Region
2.2.1 World Go AI Software Consumption Value by Region (2019-2024)
2.2.2 World Go AI Software Consumption Value Forecast by Region (2025-2030)
2.3 United States Go AI Software Consumption Value (2019-2030)
2.4 China Go AI Software Consumption Value (2019-2030)
2.5 Europe Go AI Software Consumption Value (2019-2030)
2.6 Japan Go AI Software Consumption Value (2019-2030)
2.7 South Korea Go AI Software Consumption Value (2019-2030)
2.8 ASEAN Go AI Software Consumption Value (2019-2030)
2.9 India Go AI Software Consumption Value (2019-2030)

3 World Go AI Software Companies Competitive Analysis
3.1 World Go AI Software Revenue by Player (2019-2024)
3.2 Industry Rank and Concentration Rate (CR)
3.2.1 Global Go AI Software Industry Rank of Major Players
3.2.2 Global Concentration Ratios (CR4) for Go AI Software in 2023
3.2.3 Global Concentration Ratios (CR8) for Go AI Software in 2023
3.3 Go AI Software Company Evaluation Quadrant
3.4 Go AI Software Market: Overall Company Footprint Analysis
3.4.1 Go AI Software Market: Region Footprint
3.4.2 Go AI Software Market: Company Product Type Footprint
3.4.3 Go AI Software Market: Company Product Application Footprint
3.5 Competitive Environment
3.5.1 Historical Structure of the Industry
3.5.2 Barriers of Market Entry
3.5.3 Factors of Competition
3.6 Mergers, Acquisitions Activity

4 United States VS China VS Rest of the World (by Headquarter Location)
4.1 United States VS China: Go AI Software Revenue Comparison (by Headquarter Location)
4.1.1 United States VS China: Go AI Software Market Size Comparison (2019 & 2023 & 2030) (by Headquarter Location)
4.1.2 United States VS China: Go AI Software Revenue Market Share Comparison (2019 & 2023 & 2030)
4.2 United States Based Companies VS China Based Companies: Go AI Software Consumption Value Comparison
4.2.1 United States VS China: Go AI Software Consumption Value Comparison (2019 & 2023 & 2030)
4.2.2 United States VS China: Go AI Software Consumption Value Market Share Comparison (2019 & 2023 & 2030)
4.3 United States Based Go AI Software Companies and Market Share, 2019-2024
4.3.1 United States Based Go AI Software Companies, Headquarters (States, Country)
4.3.2 United States Based Companies Go AI Software Revenue, (2019-2024)
4.4 China Based Companies Go AI Software Revenue and Market Share, 2019-2024
4.4.1 China Based Go AI Software Companies, Company Headquarters (Province, Country)
4.4.2 China Based Companies Go AI Software Revenue, (2019-2024)
4.5 Rest of World Based Go AI Software Companies and Market Share, 2019-2024
4.5.1 Rest of World Based Go AI Software Companies, Headquarters (States, Country)
4.5.2 Rest of World Based Companies Go AI Software Revenue, (2019-2024)

5 Market Analysis by Type
5.1 World Go AI Software Market Size Overview by Type: 2019 VS 2023 VS 2030
5.2 Segment Introduction by Type
5.2.1 Cloud-Based
5.2.2 On-Premises
5.3 Market Segment by Type
5.3.1 World Go AI Software Market Size by Type (2019-2024)
5.3.2 World Go AI Software Market Size by Type (2025-2030)
5.3.3 World Go AI Software Market Size Market Share by Type (2019-2030)

6 Market Analysis by Application
6.1 World Go AI Software Market Size Overview by Application: 2019 VS 2023 VS 2030
6.2 Segment Introduction by Application
6.2.1 Professional Training
6.2.2 Amateur Training
6.3 Market Segment by Application
6.3.1 World Go AI Software Market Size by Application (2019-2024)
6.3.2 World Go AI Software Market Size by Application (2025-2030)
6.3.3 World Go AI Software Market Size by Application (2019-2030)

7 Company Profiles
7.1 DeepMind (Google)
7.1.1 DeepMind (Google) Details
7.1.2 DeepMind (Google) Major Business
7.1.3 DeepMind (Google) Go AI Software Product and Services
7.1.4 DeepMind (Google) Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.1.5 DeepMind (Google) Recent Developments/Updates
7.1.6 DeepMind (Google) Competitive Strengths & Weaknesses
7.2 Tencent
7.2.1 Tencent Details
7.2.2 Tencent Major Business
7.2.3 Tencent Go AI Software Product and Services
7.2.4 Tencent Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.2.5 Tencent Recent Developments/Updates
7.2.6 Tencent Competitive Strengths & Weaknesses
7.3 Shanghai Tianrang Intelligence Technology
7.3.1 Shanghai Tianrang Intelligence Technology Details
7.3.2 Shanghai Tianrang Intelligence Technology Major Business
7.3.3 Shanghai Tianrang Intelligence Technology Go AI Software Product and Services
7.3.4 Shanghai Tianrang Intelligence Technology Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.3.5 Shanghai Tianrang Intelligence Technology Recent Developments/Updates
7.3.6 Shanghai Tianrang Intelligence Technology Competitive Strengths & Weaknesses
7.4 Facebook (Meta Platforms)
7.4.1 Facebook (Meta Platforms) Details
7.4.2 Facebook (Meta Platforms) Major Business
7.4.3 Facebook (Meta Platforms) Go AI Software Product and Services
7.4.4 Facebook (Meta Platforms) Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.4.5 Facebook (Meta Platforms) Recent Developments/Updates
7.4.6 Facebook (Meta Platforms) Competitive Strengths & Weaknesses
7.5 Beijing Thinker Technology
7.5.1 Beijing Thinker Technology Details
7.5.2 Beijing Thinker Technology Major Business
7.5.3 Beijing Thinker Technology Go AI Software Product and Services
7.5.4 Beijing Thinker Technology Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.5.5 Beijing Thinker Technology Recent Developments/Updates
7.5.6 Beijing Thinker Technology Competitive Strengths & Weaknesses
7.6 KataGo
7.6.1 KataGo Details
7.6.2 KataGo Major Business
7.6.3 KataGo Go AI Software Product and Services
7.6.4 KataGo Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.6.5 KataGo Recent Developments/Updates
7.6.6 KataGo Competitive Strengths & Weaknesses
7.7 Globis Corporation
7.7.1 Globis Corporation Details
7.7.2 Globis Corporation Major Business
7.7.3 Globis Corporation Go AI Software Product and Services
7.7.4 Globis Corporation Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.7.5 Globis Corporation Recent Developments/Updates
7.7.6 Globis Corporation Competitive Strengths & Weaknesses

8 Industry Chain Analysis
8.1 Go AI Software Industry Chain
8.2 Go AI Software Upstream Analysis
8.3 Go AI Software Midstream Analysis
8.4 Go AI Software Downstream Analysis

9 Research Findings and Conclusion

10 Appendix
10.1 Methodology
10.2 Research Process and Data Source
10.3 Disclaimer
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Table of Figures

List of Tables
Table 1. World Go AI Software Revenue by Region (2019, 2023 and 2030) & (USD Million), (by Headquarter Location)
Table 2. World Go AI Software Revenue by Region (2019-2024) & (USD Million), (by Headquarter Location)
Table 3. World Go AI Software Revenue by Region (2025-2030) & (USD Million), (by Headquarter Location)
Table 4. World Go AI Software Revenue Market Share by Region (2019-2024), (by Headquarter Location)
Table 5. World Go AI Software Revenue Market Share by Region (2025-2030), (by Headquarter Location)
Table 6. Major Market Trends
Table 7. World Go AI Software Consumption Value Growth Rate Forecast by Region (2019 & 2023 & 2030) & (USD Million)
Table 8. World Go AI Software Consumption Value by Region (2019-2024) & (USD Million)
Table 9. World Go AI Software Consumption Value Forecast by Region (2025-2030) & (USD Million)
Table 10. World Go AI Software Revenue by Player (2019-2024) & (USD Million)
Table 11. Revenue Market Share of Key Go AI Software Players in 2023
Table 12. World Go AI Software Industry Rank of Major Player, Based on Revenue in 2023
Table 13. Global Go AI Software Company Evaluation Quadrant
Table 14. Head Office of Key Go AI Software Player
Table 15. Go AI Software Market: Company Product Type Footprint
Table 16. Go AI Software Market: Company Product Application Footprint
Table 17. Go AI Software Mergers & Acquisitions Activity
Table 18. United States VS China Go AI Software Market Size Comparison, (2019 & 2023 & 2030) & (USD Million)
Table 19. United States VS China Go AI Software Consumption Value Comparison, (2019 & 2023 & 2030) & (USD Million)
Table 20. United States Based Go AI Software Companies, Headquarters (States, Country)
Table 21. United States Based Companies Go AI Software Revenue, (2019-2024) & (USD Million)
Table 22. United States Based Companies Go AI Software Revenue Market Share (2019-2024)
Table 23. China Based Go AI Software Companies, Headquarters (Province, Country)
Table 24. China Based Companies Go AI Software Revenue, (2019-2024) & (USD Million)
Table 25. China Based Companies Go AI Software Revenue Market Share (2019-2024)
Table 26. Rest of World Based Go AI Software Companies, Headquarters (States, Country)
Table 27. Rest of World Based Companies Go AI Software Revenue, (2019-2024) & (USD Million)
Table 28. Rest of World Based Companies Go AI Software Revenue Market Share (2019-2024)
Table 29. World Go AI Software Market Size by Type, (USD Million), 2019 & 2023 & 2030
Table 30. World Go AI Software Market Size by Type (2019-2024) & (USD Million)
Table 31. World Go AI Software Market Size by Type (2025-2030) & (USD Million)
Table 32. World Go AI Software Market Size by Application, (USD Million), 2019 & 2023 & 2030
Table 33. World Go AI Software Market Size by Application (2019-2024) & (USD Million)
Table 34. World Go AI Software Market Size by Application (2025-2030) & (USD Million)
Table 35. DeepMind (Google) Basic Information, Area Served and Competitors
Table 36. DeepMind (Google) Major Business
Table 37. DeepMind (Google) Go AI Software Product and Services
Table 38. DeepMind (Google) Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 39. DeepMind (Google) Recent Developments/Updates
Table 40. DeepMind (Google) Competitive Strengths & Weaknesses
Table 41. Tencent Basic Information, Area Served and Competitors
Table 42. Tencent Major Business
Table 43. Tencent Go AI Software Product and Services
Table 44. Tencent Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 45. Tencent Recent Developments/Updates
Table 46. Tencent Competitive Strengths & Weaknesses
Table 47. Shanghai Tianrang Intelligence Technology Basic Information, Area Served and Competitors
Table 48. Shanghai Tianrang Intelligence Technology Major Business
Table 49. Shanghai Tianrang Intelligence Technology Go AI Software Product and Services
Table 50. Shanghai Tianrang Intelligence Technology Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 51. Shanghai Tianrang Intelligence Technology Recent Developments/Updates
Table 52. Shanghai Tianrang Intelligence Technology Competitive Strengths & Weaknesses
Table 53. Facebook (Meta Platforms) Basic Information, Area Served and Competitors
Table 54. Facebook (Meta Platforms) Major Business
Table 55. Facebook (Meta Platforms) Go AI Software Product and Services
Table 56. Facebook (Meta Platforms) Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 57. Facebook (Meta Platforms) Recent Developments/Updates
Table 58. Facebook (Meta Platforms) Competitive Strengths & Weaknesses
Table 59. Beijing Thinker Technology Basic Information, Area Served and Competitors
Table 60. Beijing Thinker Technology Major Business
Table 61. Beijing Thinker Technology Go AI Software Product and Services
Table 62. Beijing Thinker Technology Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 63. Beijing Thinker Technology Recent Developments/Updates
Table 64. Beijing Thinker Technology Competitive Strengths & Weaknesses
Table 65. KataGo Basic Information, Area Served and Competitors
Table 66. KataGo Major Business
Table 67. KataGo Go AI Software Product and Services
Table 68. KataGo Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 69. KataGo Recent Developments/Updates
Table 70. Globis Corporation Basic Information, Area Served and Competitors
Table 71. Globis Corporation Major Business
Table 72. Globis Corporation Go AI Software Product and Services
Table 73. Globis Corporation Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 74. Global Key Players of Go AI Software Upstream (Raw Materials)
Table 75. Go AI Software Typical Customers
List of Figure
Figure 1. Go AI Software Picture
Figure 2. World Go AI Software Total Market Size: 2019 & 2023 & 2030, (USD Million)
Figure 3. World Go AI Software Total Market Size (2019-2030) & (USD Million)
Figure 4. World Go AI Software Revenue Market Share by Region (2019, 2023 and 2030) & (USD Million) , (by Headquarter Location)
Figure 5. World Go AI Software Revenue Market Share by Region (2019-2030), (by Headquarter Location)
Figure 6. United States Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 7. China Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 8. Europe Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 9. Japan Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 10. South Korea Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 11. ASEAN Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 12. India Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 13. Go AI Software Market Drivers
Figure 14. Factors Affecting Demand
Figure 15. World Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 16. World Go AI Software Consumption Value Market Share by Region (2019-2030)
Figure 17. United States Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 18. China Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 19. Europe Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 20. Japan Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 21. South Korea Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 22. ASEAN Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 23. India Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 24. Producer Shipments of Go AI Software by Player Revenue ($MM) and Market Share (%): 2023
Figure 25. Global Four-firm Concentration Ratios (CR4) for Go AI Software Markets in 2023
Figure 26. Global Four-firm Concentration Ratios (CR8) for Go AI Software Markets in 2023
Figure 27. United States VS China: Go AI Software Revenue Market Share Comparison (2019 & 2023 & 2030)
Figure 28. United States VS China: Go AI Software Consumption Value Market Share Comparison (2019 & 2023 & 2030)
Figure 29. World Go AI Software Market Size by Type, (USD Million), 2019 & 2023 & 2030
Figure 30. World Go AI Software Market Size Market Share by Type in 2023
Figure 31. Cloud-Based
Figure 32. On-Premises
Figure 33. World Go AI Software Market Size Market Share by Type (2019-2030)
Figure 34. World Go AI Software Market Size by Application, (USD Million), 2019 & 2023 & 2030
Figure 35. World Go AI Software Market Size Market Share by Application in 2023
Figure 36. Professional Training
Figure 37. Amateur Training
Figure 38. Go AI Software Industrial Chain
Figure 39. Methodology
Figure 40. Research Process and Data Source
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Research Methodology

Client Requirements

yuan2

Review and analyze client requirements

yuan2

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

yuan2

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

yuan2

Determination of key drivers, restraints, challenge, and opportunity

yuan2

Identifies market needs and trends

Market Size Estimation & Forecast

yuan2

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)

yuan2

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

yuan2

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.

tuBiao1

Data Source

yuan2

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

yuan2

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

Validation and
triangulation of
secondary and primary source.

yuan2

Collection of data

yuan2

Cumulating and collating the essential qualitative and quantitative data

yuan2

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

yuan2

Clarifying queries

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Receiving feedback

yuan2

Ensuring satisfaction

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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.

  • yuan01
    liuCheng01

    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 Supply, Demand and Key Producers, 2024-2030

Global Go AI Software Supply, Demand and Key Producers, 2024-2030

Page: 102

Published Date: 29 Feb 2024

Category: Service & Software

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Description

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Description

The global Go AI Software market size is expected to reach $ million by 2030, rising at a market growth of % CAGR 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.

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 studies the global Go AI Software demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Go AI Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2023 as the base year. This report explores demand trends and competition, as well as details the characteristics of Go AI Software that contribute to its increasing demand across many markets.

Highlights and key features of the study
Global Go AI Software total market, 2019-2030, (USD Million)
Global Go AI Software total market by region & country, CAGR, 2019-2030, (USD Million)
U.S. VS China: Go AI Software total market, key domestic companies and share, (USD Million)
Global Go AI Software revenue by player and market share 2019-2024, (USD Million)
Global Go AI Software total market by Type, CAGR, 2019-2030, (USD Million)
Global Go AI Software total market by Application, CAGR, 2019-2030, (USD Million).

This reports profiles major players in the global Go AI Software market based on the following parameters – company overview, revenue, 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), Beijing Thinker Technology, KataGo and Globis Corporation, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Go AI Software market.

Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2019-2030 by year with 2023 as the base year, 2024 as the estimate year, and 2025-2030 as the forecast year.

Global Go AI Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Go AI Software Market, Segmentation by Type
Cloud-Based
On-Premises

Global Go AI Software Market, Segmentation by Application
Professional Training
Amateur Training

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

Key Questions Answered
1. How big is the global Go AI Software market?
2. What is the demand of the global Go AI Software market?
3. What is the year over year growth of the global Go AI Software market?
4. What is the total value of the global Go AI Software market?
5. Who are the major players in the global Go AI Software market?
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Table of Contents

1 Supply Summary
1.1 Go AI Software Introduction
1.2 World Go AI Software Market Size & Forecast (2019 & 2023 & 2030)
1.3 World Go AI Software Total Market by Region (by Headquarter Location)
1.3.1 World Go AI Software Market Size by Region (2019-2030), (by Headquarter Location)
1.3.2 United States Go AI Software Market Size (2019-2030)
1.3.3 China Go AI Software Market Size (2019-2030)
1.3.4 Europe Go AI Software Market Size (2019-2030)
1.3.5 Japan Go AI Software Market Size (2019-2030)
1.3.6 South Korea Go AI Software Market Size (2019-2030)
1.3.7 ASEAN Go AI Software Market Size (2019-2030)
1.3.8 India Go AI Software Market Size (2019-2030)
1.4 Market Drivers, Restraints and Trends
1.4.1 Go AI Software Market Drivers
1.4.2 Factors Affecting Demand
1.4.3 Go AI Software Major Market Trends

2 Demand Summary
2.1 World Go AI Software Consumption Value (2019-2030)
2.2 World Go AI Software Consumption Value by Region
2.2.1 World Go AI Software Consumption Value by Region (2019-2024)
2.2.2 World Go AI Software Consumption Value Forecast by Region (2025-2030)
2.3 United States Go AI Software Consumption Value (2019-2030)
2.4 China Go AI Software Consumption Value (2019-2030)
2.5 Europe Go AI Software Consumption Value (2019-2030)
2.6 Japan Go AI Software Consumption Value (2019-2030)
2.7 South Korea Go AI Software Consumption Value (2019-2030)
2.8 ASEAN Go AI Software Consumption Value (2019-2030)
2.9 India Go AI Software Consumption Value (2019-2030)

3 World Go AI Software Companies Competitive Analysis
3.1 World Go AI Software Revenue by Player (2019-2024)
3.2 Industry Rank and Concentration Rate (CR)
3.2.1 Global Go AI Software Industry Rank of Major Players
3.2.2 Global Concentration Ratios (CR4) for Go AI Software in 2023
3.2.3 Global Concentration Ratios (CR8) for Go AI Software in 2023
3.3 Go AI Software Company Evaluation Quadrant
3.4 Go AI Software Market: Overall Company Footprint Analysis
3.4.1 Go AI Software Market: Region Footprint
3.4.2 Go AI Software Market: Company Product Type Footprint
3.4.3 Go AI Software Market: Company Product Application Footprint
3.5 Competitive Environment
3.5.1 Historical Structure of the Industry
3.5.2 Barriers of Market Entry
3.5.3 Factors of Competition
3.6 Mergers, Acquisitions Activity

4 United States VS China VS Rest of the World (by Headquarter Location)
4.1 United States VS China: Go AI Software Revenue Comparison (by Headquarter Location)
4.1.1 United States VS China: Go AI Software Market Size Comparison (2019 & 2023 & 2030) (by Headquarter Location)
4.1.2 United States VS China: Go AI Software Revenue Market Share Comparison (2019 & 2023 & 2030)
4.2 United States Based Companies VS China Based Companies: Go AI Software Consumption Value Comparison
4.2.1 United States VS China: Go AI Software Consumption Value Comparison (2019 & 2023 & 2030)
4.2.2 United States VS China: Go AI Software Consumption Value Market Share Comparison (2019 & 2023 & 2030)
4.3 United States Based Go AI Software Companies and Market Share, 2019-2024
4.3.1 United States Based Go AI Software Companies, Headquarters (States, Country)
4.3.2 United States Based Companies Go AI Software Revenue, (2019-2024)
4.4 China Based Companies Go AI Software Revenue and Market Share, 2019-2024
4.4.1 China Based Go AI Software Companies, Company Headquarters (Province, Country)
4.4.2 China Based Companies Go AI Software Revenue, (2019-2024)
4.5 Rest of World Based Go AI Software Companies and Market Share, 2019-2024
4.5.1 Rest of World Based Go AI Software Companies, Headquarters (States, Country)
4.5.2 Rest of World Based Companies Go AI Software Revenue, (2019-2024)

5 Market Analysis by Type
5.1 World Go AI Software Market Size Overview by Type: 2019 VS 2023 VS 2030
5.2 Segment Introduction by Type
5.2.1 Cloud-Based
5.2.2 On-Premises
5.3 Market Segment by Type
5.3.1 World Go AI Software Market Size by Type (2019-2024)
5.3.2 World Go AI Software Market Size by Type (2025-2030)
5.3.3 World Go AI Software Market Size Market Share by Type (2019-2030)

6 Market Analysis by Application
6.1 World Go AI Software Market Size Overview by Application: 2019 VS 2023 VS 2030
6.2 Segment Introduction by Application
6.2.1 Professional Training
6.2.2 Amateur Training
6.3 Market Segment by Application
6.3.1 World Go AI Software Market Size by Application (2019-2024)
6.3.2 World Go AI Software Market Size by Application (2025-2030)
6.3.3 World Go AI Software Market Size by Application (2019-2030)

7 Company Profiles
7.1 DeepMind (Google)
7.1.1 DeepMind (Google) Details
7.1.2 DeepMind (Google) Major Business
7.1.3 DeepMind (Google) Go AI Software Product and Services
7.1.4 DeepMind (Google) Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.1.5 DeepMind (Google) Recent Developments/Updates
7.1.6 DeepMind (Google) Competitive Strengths & Weaknesses
7.2 Tencent
7.2.1 Tencent Details
7.2.2 Tencent Major Business
7.2.3 Tencent Go AI Software Product and Services
7.2.4 Tencent Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.2.5 Tencent Recent Developments/Updates
7.2.6 Tencent Competitive Strengths & Weaknesses
7.3 Shanghai Tianrang Intelligence Technology
7.3.1 Shanghai Tianrang Intelligence Technology Details
7.3.2 Shanghai Tianrang Intelligence Technology Major Business
7.3.3 Shanghai Tianrang Intelligence Technology Go AI Software Product and Services
7.3.4 Shanghai Tianrang Intelligence Technology Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.3.5 Shanghai Tianrang Intelligence Technology Recent Developments/Updates
7.3.6 Shanghai Tianrang Intelligence Technology Competitive Strengths & Weaknesses
7.4 Facebook (Meta Platforms)
7.4.1 Facebook (Meta Platforms) Details
7.4.2 Facebook (Meta Platforms) Major Business
7.4.3 Facebook (Meta Platforms) Go AI Software Product and Services
7.4.4 Facebook (Meta Platforms) Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.4.5 Facebook (Meta Platforms) Recent Developments/Updates
7.4.6 Facebook (Meta Platforms) Competitive Strengths & Weaknesses
7.5 Beijing Thinker Technology
7.5.1 Beijing Thinker Technology Details
7.5.2 Beijing Thinker Technology Major Business
7.5.3 Beijing Thinker Technology Go AI Software Product and Services
7.5.4 Beijing Thinker Technology Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.5.5 Beijing Thinker Technology Recent Developments/Updates
7.5.6 Beijing Thinker Technology Competitive Strengths & Weaknesses
7.6 KataGo
7.6.1 KataGo Details
7.6.2 KataGo Major Business
7.6.3 KataGo Go AI Software Product and Services
7.6.4 KataGo Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.6.5 KataGo Recent Developments/Updates
7.6.6 KataGo Competitive Strengths & Weaknesses
7.7 Globis Corporation
7.7.1 Globis Corporation Details
7.7.2 Globis Corporation Major Business
7.7.3 Globis Corporation Go AI Software Product and Services
7.7.4 Globis Corporation Go AI Software Revenue, Gross Margin and Market Share (2019-2024)
7.7.5 Globis Corporation Recent Developments/Updates
7.7.6 Globis Corporation Competitive Strengths & Weaknesses

8 Industry Chain Analysis
8.1 Go AI Software Industry Chain
8.2 Go AI Software Upstream Analysis
8.3 Go AI Software Midstream Analysis
8.4 Go AI Software Downstream Analysis

9 Research Findings and Conclusion

10 Appendix
10.1 Methodology
10.2 Research Process and Data Source
10.3 Disclaimer
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Table of Figures

List of Tables
Table 1. World Go AI Software Revenue by Region (2019, 2023 and 2030) & (USD Million), (by Headquarter Location)
Table 2. World Go AI Software Revenue by Region (2019-2024) & (USD Million), (by Headquarter Location)
Table 3. World Go AI Software Revenue by Region (2025-2030) & (USD Million), (by Headquarter Location)
Table 4. World Go AI Software Revenue Market Share by Region (2019-2024), (by Headquarter Location)
Table 5. World Go AI Software Revenue Market Share by Region (2025-2030), (by Headquarter Location)
Table 6. Major Market Trends
Table 7. World Go AI Software Consumption Value Growth Rate Forecast by Region (2019 & 2023 & 2030) & (USD Million)
Table 8. World Go AI Software Consumption Value by Region (2019-2024) & (USD Million)
Table 9. World Go AI Software Consumption Value Forecast by Region (2025-2030) & (USD Million)
Table 10. World Go AI Software Revenue by Player (2019-2024) & (USD Million)
Table 11. Revenue Market Share of Key Go AI Software Players in 2023
Table 12. World Go AI Software Industry Rank of Major Player, Based on Revenue in 2023
Table 13. Global Go AI Software Company Evaluation Quadrant
Table 14. Head Office of Key Go AI Software Player
Table 15. Go AI Software Market: Company Product Type Footprint
Table 16. Go AI Software Market: Company Product Application Footprint
Table 17. Go AI Software Mergers & Acquisitions Activity
Table 18. United States VS China Go AI Software Market Size Comparison, (2019 & 2023 & 2030) & (USD Million)
Table 19. United States VS China Go AI Software Consumption Value Comparison, (2019 & 2023 & 2030) & (USD Million)
Table 20. United States Based Go AI Software Companies, Headquarters (States, Country)
Table 21. United States Based Companies Go AI Software Revenue, (2019-2024) & (USD Million)
Table 22. United States Based Companies Go AI Software Revenue Market Share (2019-2024)
Table 23. China Based Go AI Software Companies, Headquarters (Province, Country)
Table 24. China Based Companies Go AI Software Revenue, (2019-2024) & (USD Million)
Table 25. China Based Companies Go AI Software Revenue Market Share (2019-2024)
Table 26. Rest of World Based Go AI Software Companies, Headquarters (States, Country)
Table 27. Rest of World Based Companies Go AI Software Revenue, (2019-2024) & (USD Million)
Table 28. Rest of World Based Companies Go AI Software Revenue Market Share (2019-2024)
Table 29. World Go AI Software Market Size by Type, (USD Million), 2019 & 2023 & 2030
Table 30. World Go AI Software Market Size by Type (2019-2024) & (USD Million)
Table 31. World Go AI Software Market Size by Type (2025-2030) & (USD Million)
Table 32. World Go AI Software Market Size by Application, (USD Million), 2019 & 2023 & 2030
Table 33. World Go AI Software Market Size by Application (2019-2024) & (USD Million)
Table 34. World Go AI Software Market Size by Application (2025-2030) & (USD Million)
Table 35. DeepMind (Google) Basic Information, Area Served and Competitors
Table 36. DeepMind (Google) Major Business
Table 37. DeepMind (Google) Go AI Software Product and Services
Table 38. DeepMind (Google) Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 39. DeepMind (Google) Recent Developments/Updates
Table 40. DeepMind (Google) Competitive Strengths & Weaknesses
Table 41. Tencent Basic Information, Area Served and Competitors
Table 42. Tencent Major Business
Table 43. Tencent Go AI Software Product and Services
Table 44. Tencent Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 45. Tencent Recent Developments/Updates
Table 46. Tencent Competitive Strengths & Weaknesses
Table 47. Shanghai Tianrang Intelligence Technology Basic Information, Area Served and Competitors
Table 48. Shanghai Tianrang Intelligence Technology Major Business
Table 49. Shanghai Tianrang Intelligence Technology Go AI Software Product and Services
Table 50. Shanghai Tianrang Intelligence Technology Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 51. Shanghai Tianrang Intelligence Technology Recent Developments/Updates
Table 52. Shanghai Tianrang Intelligence Technology Competitive Strengths & Weaknesses
Table 53. Facebook (Meta Platforms) Basic Information, Area Served and Competitors
Table 54. Facebook (Meta Platforms) Major Business
Table 55. Facebook (Meta Platforms) Go AI Software Product and Services
Table 56. Facebook (Meta Platforms) Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 57. Facebook (Meta Platforms) Recent Developments/Updates
Table 58. Facebook (Meta Platforms) Competitive Strengths & Weaknesses
Table 59. Beijing Thinker Technology Basic Information, Area Served and Competitors
Table 60. Beijing Thinker Technology Major Business
Table 61. Beijing Thinker Technology Go AI Software Product and Services
Table 62. Beijing Thinker Technology Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 63. Beijing Thinker Technology Recent Developments/Updates
Table 64. Beijing Thinker Technology Competitive Strengths & Weaknesses
Table 65. KataGo Basic Information, Area Served and Competitors
Table 66. KataGo Major Business
Table 67. KataGo Go AI Software Product and Services
Table 68. KataGo Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 69. KataGo Recent Developments/Updates
Table 70. Globis Corporation Basic Information, Area Served and Competitors
Table 71. Globis Corporation Major Business
Table 72. Globis Corporation Go AI Software Product and Services
Table 73. Globis Corporation Go AI Software Revenue, Gross Margin and Market Share (2019-2024) & (USD Million)
Table 74. Global Key Players of Go AI Software Upstream (Raw Materials)
Table 75. Go AI Software Typical Customers
List of Figure
Figure 1. Go AI Software Picture
Figure 2. World Go AI Software Total Market Size: 2019 & 2023 & 2030, (USD Million)
Figure 3. World Go AI Software Total Market Size (2019-2030) & (USD Million)
Figure 4. World Go AI Software Revenue Market Share by Region (2019, 2023 and 2030) & (USD Million) , (by Headquarter Location)
Figure 5. World Go AI Software Revenue Market Share by Region (2019-2030), (by Headquarter Location)
Figure 6. United States Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 7. China Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 8. Europe Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 9. Japan Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 10. South Korea Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 11. ASEAN Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 12. India Based Company Go AI Software Revenue (2019-2030) & (USD Million)
Figure 13. Go AI Software Market Drivers
Figure 14. Factors Affecting Demand
Figure 15. World Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 16. World Go AI Software Consumption Value Market Share by Region (2019-2030)
Figure 17. United States Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 18. China Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 19. Europe Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 20. Japan Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 21. South Korea Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 22. ASEAN Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 23. India Go AI Software Consumption Value (2019-2030) & (USD Million)
Figure 24. Producer Shipments of Go AI Software by Player Revenue ($MM) and Market Share (%): 2023
Figure 25. Global Four-firm Concentration Ratios (CR4) for Go AI Software Markets in 2023
Figure 26. Global Four-firm Concentration Ratios (CR8) for Go AI Software Markets in 2023
Figure 27. United States VS China: Go AI Software Revenue Market Share Comparison (2019 & 2023 & 2030)
Figure 28. United States VS China: Go AI Software Consumption Value Market Share Comparison (2019 & 2023 & 2030)
Figure 29. World Go AI Software Market Size by Type, (USD Million), 2019 & 2023 & 2030
Figure 30. World Go AI Software Market Size Market Share by Type in 2023
Figure 31. Cloud-Based
Figure 32. On-Premises
Figure 33. World Go AI Software Market Size Market Share by Type (2019-2030)
Figure 34. World Go AI Software Market Size by Application, (USD Million), 2019 & 2023 & 2030
Figure 35. World Go AI Software Market Size Market Share by Application in 2023
Figure 36. Professional Training
Figure 37. Amateur Training
Figure 38. Go AI Software Industrial Chain
Figure 39. Methodology
Figure 40. 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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