Over the years, with the PC technology growing into popularity and maturity, the convergence of AI (Artificial Intelligence) and IoT (Internet of Things), collectively called AIoT (Artificial Intelligence of Things), has become the next area of focus. With an increasing number of IoT applications adopted in people’s everyday lives, individual industries have been connecting physical and virtual space using IoT technology while using sensors to acquire data. The acquired data is then computed and processed further using AI chips to ensure better and faster operations. This report provides an overview of AI chips in support of IoT, looks into deployment strategies of leading companies such as Intel, NVidia, MediaTek, and Qualcomm, and their solutions, as well as major players of Taiwan’s semiconductor industry in AIoT; examines future trends of AIoT chips.
List of Topics:
- Development of AI and IoT and includes global IoT connected device forecast for the period 2020-2023 with market volume breakdown by product category: PCs, TV, smartphones, M2M, tablet, etc
- Development of major AIoT chipmakers, including Intel, NVidia, MediaTek, and Qualcomm
- Development strategies of Taiwan's semiconductor industry in AIoT and includes the ecosystem built around AIoT
Table of Contents
1. Development of AIoT
1.1 Scenario Analysis Strengthened to Improve UX
1.2 AIoT Increases the Demand for Edging Computer
2. Deployment Strategies of Major AIoT Chipmakers
2.1 Intel
2.1.1 Hybrid Processor Architecture to Compensate for the Disadvantage of CPU Parallel Computing
2.2 NVidia
2.3 MediaTek
2.4 Qualcomm
3. Deployment Strategies of Taiwan's Semiconductor Industry in AIoT
3.1 AI on Chip Taiwan Alliance Established in Response to AIoT Trends
4. Author's Perspective
Appendix
List of Companies
List of Tables
Table 1 Taiwanese IC Design Companies with AI Investments
Table 2 AITA (AI on Chip Taiwan Alliance) and its Members
List of Figures
Figure 1 Global IoT Connected Devices, 2018-2023
Figure 2 AIOT Features of Amazon Alexa
Figure 3 Computing Architecture of Amazon Alexa
Figure 4 Illustration of an Embedded IoT Device with Intel Movidius
Figure 5 Server Platform of Nvidia HGX-2
Figure 6 Qualcomm Cloud AI 100 Designed for Processing High Efficient Inference Workloads
Samples
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Aaeon Technology
- AIMobile
- Altera
- Amazon
- Andes Technology
- ASE
- ASUS
- Bridgestone
- Cadence
- Chicony Electronics
- Chipbond
- Delta
- Egis Technology
- eMemory Technology
- ESMT
- Etron
- FocalTech
- GUC
- Himax Technologies
- Holtek
- Intel
- Intelligent Factory
- Macronix
- MediaTek
- Mellanox
- Microsoft
- Movidius
- Nanya
- Nervana Systems
- Novatek
- Nvidia
- Peakhills Group
- Phison
- Powerchip
- Qualcomm
- Quanta
- Ralytek
- Realtek
- Silicon Motion
- Sitronix
- Skymizer
- Sonix Technology
- SPIL
- Sunplus
- Synopsys
- TongHsing Electronics
- UMC
- VIA Technologies
- Wave Computing
- Windbond
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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