Tencent is a member of the Baidu, Alibaba, and Tencent trio of Chinese internet giants (together termed BAT) who are competing vigorously to prepare for the AI economy. Tencent's AI ambitions over the next few years are defined by a strategy called 'Make AI Everywhere.' This report discusses Tencent's organizational development, product strategy, application areas, and investments in light of this strategy, and analyzes how it is implementing this vision.
List of Topics
- Company profile of Tencent, touching on its organizational development and deployment strategies in AI such as the establishment of AI teams (e.g. Tencent AI Lab and Youtu Lab), public security solutions, facial recognition, online content review, and smart retail (e.g. WeChat AI).
- Product and technology development strategies of Tencent and includes its six resources for AI ecosystem and Open AI Platform, and smart hardware program and smart hiring program.
- An overview of AI accelerators of Tencent and their investment strategies, including Cowarobot, Readstar.ai, Huiyihuiying, Atman, Tensorise, Zhuiyi, GMEMS, Leju Robotics, GJS Robot, Cloudbrain, Kiwi, Equota, Lavector, Versa.
- An overview of Tencent's AI investment in robotics, smart transport, smart medicine, smart life, data services, incubators, audio recognition, and information security.
Table of Contents
1. Tencent's Basic Operating Model
2. Organizational Development and AI Team
2.1 Organizational Resource Integration
2.2 AI Teams
2.2.1 Tencent AI Lab
2.2.2 Youtu Lab
2.3 Public Security
2.4 Facial Recognition
2.5 Online Content Review
2.6 Smart Retail
2.6.1 WeChat AI
3. Tencent's AI Products and Technologies
3.1 The Six Resources of Tencent's AI Ecosystem
3.2 AI Products
3.2.1 Smart Hardware
3.2.2 Smart Hiring
4. Tencent's AI Accelerator and Investment Strategy
4.1 AI Accelerator
4.2 Tencent's AI Investment Strategy
Appendix
Glossary of Terms
List of Companies
List of Tables
Table 1 Basic Information on Tencent
Table 2 Organizational Structure of Tencent
Table 3 Applications of Tencent AI Lab
Table 4 Research Plans of Tencent AI Lab
Table 5 Shared Technologies on the Tencent Open AI Platform
Table 6 Smart Hardware Application Scenarios
Table 7 Investment Targets of Tencent's AI Accelerator
Table 8 Tencent's AI Investment Strategy
List of Figures
Figure 1 The Grandeye Security Platform
Figure 2 Facial Recognition Verification Process
Figure 3 Youtu’s AI Applications in Smart Retail
Figure 4 The Six Resources of Tencent's AI Ecosystem
Figure 5 Smart Hardware Program15
Figure 6 Features of Tencent's Smart Recruitment Technology
Samples
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- 58.com
- AISEC
- Alibaba
- Amazon
- Atman
- Atomwise
- Baidu
- BMW
- Byton
- Career Executive
- China Everbright Bank
- China Unicom
- Cloudbrain
- Cowarobot
- DiDi Chuxing
- Element AI
- Equota
- GJS Robot
- GMEMS
- Harbin Institute of Technology
- Huiyihuiying
- iCarbonX
- Kiwi
- L'Oréal
- Lancôme
- Lavector
- Leju Robotics
- Leshi Zhixin
- Marble
- McGill University
- Mi Live
- Mininglamp
- Moji
- NIO
- Pacewear
- Qzone
- Roadstar.ai
- SF Express
- Shangri-La Hotels & Resorts
- Sinovation Ventures
- SoundHound
- Stratifyd
- Tencent
- Tensorise
- Tesla
- Tu
- UBTECH
- University of Montreal
- Versa Inc.
- VoxelCloud
- WeBank
- Weltmeister
- Wonder Workshop
- Yingyongbao
- Yunji Technology
- Zhuiyi
Methodology
Primary research with a holistic, cross-domain approach
The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.
Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:
Method
- Component supplier interviews
- System supplier interviews
- User interviews
- Channel interviews
- IPO interviews
- Focus groups
- Consumer surveys
- Production databases
- Financial data
- Custom databases
Methodology
- Technology forecasting and assessment
- Product assessment and selection
- Product life cycles
- Added value analysis
- Market trends
- Scenario analysis
- Competitor analysis
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