Very Edge AI Chipset for TinyML Applications Image

Very Edge AI Chipset for TinyML Applications

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Actionable Benefits

  • Identify and better target growth opportunities for AI in IoT space.
  • Identify the right solution partners and suppliers for go-to-market strategies to be successful in the TinyML market.
  • Educate decision makers and product developers on the impact that TinyML on IoT market.

Critical Questions Answered

  • What are the current trends and key applications of TinyML?
  • Who are the key players in the TinyML market?
  • What is the size of market opportunities for MCU, FPGA and ASIC vendors?

Research Highlights

  • Existing dynamics between the TinyML market and the wider AI chipset industry and potential future developments.
  • Key ingredients to the success in the TinyML market.
  • A complete list of key players in the TinyML chipset market.

Who Should Read This?

  • AI chipset solution providers that are looking to expand their presence into TinyML.
  • Device manufacturers who are looking for partners and solution providers in the TinyML market.
  • Software developers and system integrators that are developing software and services around TinyML.

Table of Contents

Table of Contents

1. EXECUTIVE SUMMARY

2. DEFINITIONS OF VERY EDGE AI

3. CHARACTERISTICS AND BENEFITS OF VERY EDGE AI

4. KEY ENABLING TECHNOLOGIES OF VERY EDGE AI CHIPSET

4.1. Hardware Architecture
4.2. Software Tools and Libraries
4.3. Binary and Ternary Neural Networks

5. KEY VENDORS

5.1. IP Vendors
5.2. MCU Vendors
5.3. FPGA Vendors
5.4. ASIC Vendors

6. MARKET FORECAST

7. KEY RECOMMENDATIONS

8. RELATED RESEARCH