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Global Tiny Machine Learning (TinyML) Market Research Report 2022

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Table of Contents

    1 Report Overview

    • 1.1 Study Scope
    • 1.2 Market Analysis by Type
      • 1.2.1 Global Tiny Machine Learning (TinyML) Market Size Growth Rate by Type: 2017 VS 2021 VS 2028
      • 1.2.2 C Language
      • 1.2.3 Java
    • 1.3 Market by Application
      • 1.3.1 Global Tiny Machine Learning (TinyML) Market Share by Application: 2017 VS 2021 VS 2028
      • 1.3.2 Manufacturing
      • 1.3.3 Retail
      • 1.3.4 Agriculture
      • 1.3.5 Healthcare
    • 1.4 Study Objectives
    • 1.5 Years Considered

    2 Global Growth Trends

    • 2.1 Global Tiny Machine Learning (TinyML) Market Perspective (2017-2028)
    • 2.2 Tiny Machine Learning (TinyML) Growth Trends by Region
      • 2.2.1 Tiny Machine Learning (TinyML) Market Size by Region: 2017 VS 2021 VS 2028
      • 2.2.2 Tiny Machine Learning (TinyML) Historic Market Size by Region (2017-2022)
      • 2.2.3 Tiny Machine Learning (TinyML) Forecasted Market Size by Region (2023-2028)
    • 2.3 Tiny Machine Learning (TinyML) Market Dynamics
      • 2.3.1 Tiny Machine Learning (TinyML) Industry Trends
      • 2.3.2 Tiny Machine Learning (TinyML) Market Drivers
      • 2.3.3 Tiny Machine Learning (TinyML) Market Challenges
      • 2.3.4 Tiny Machine Learning (TinyML) Market Restraints

    3 Competition Landscape by Key Players

    • 3.1 Global Top Tiny Machine Learning (TinyML) Players by Revenue
      • 3.1.1 Global Top Tiny Machine Learning (TinyML) Players by Revenue (2017-2022)
      • 3.1.2 Global Tiny Machine Learning (TinyML) Revenue Market Share by Players (2017-2022)
    • 3.2 Global Tiny Machine Learning (TinyML) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
    • 3.3 Players Covered: Ranking by Tiny Machine Learning (TinyML) Revenue
    • 3.4 Global Tiny Machine Learning (TinyML) Market Concentration Ratio
      • 3.4.1 Global Tiny Machine Learning (TinyML) Market Concentration Ratio (CR5 and HHI)
      • 3.4.2 Global Top 10 and Top 5 Companies by Tiny Machine Learning (TinyML) Revenue in 2021
    • 3.5 Tiny Machine Learning (TinyML) Key Players Head office and Area Served
    • 3.6 Key Players Tiny Machine Learning (TinyML) Product Solution and Service
    • 3.7 Date of Enter into Tiny Machine Learning (TinyML) Market
    • 3.8 Mergers & Acquisitions, Expansion Plans

    4 Tiny Machine Learning (TinyML) Breakdown Data by Type

    • 4.1 Global Tiny Machine Learning (TinyML) Historic Market Size by Type (2017-2022)
    • 4.2 Global Tiny Machine Learning (TinyML) Forecasted Market Size by Type (2023-2028)

    5 Tiny Machine Learning (TinyML) Breakdown Data by Application

    • 5.1 Global Tiny Machine Learning (TinyML) Historic Market Size by Application (2017-2022)
    • 5.2 Global Tiny Machine Learning (TinyML) Forecasted Market Size by Application (2023-2028)

    6 North America

    • 6.1 North America Tiny Machine Learning (TinyML) Market Size (2017-2028)
    • 6.2 North America Tiny Machine Learning (TinyML) Market Size by Country (2017-2022)
    • 6.3 North America Tiny Machine Learning (TinyML) Market Size by Country (2023-2028)
    • 6.4 United States
    • 6.5 Canada

    7 Europe

    • 7.1 Europe Tiny Machine Learning (TinyML) Market Size (2017-2028)
    • 7.2 Europe Tiny Machine Learning (TinyML) Market Size by Country (2017-2022)
    • 7.3 Europe Tiny Machine Learning (TinyML) Market Size by Country (2023-2028)
    • 7.4 Germany
    • 7.5 France
    • 7.6 U.K.
    • 7.7 Italy
    • 7.8 Russia
    • 7.9 Nordic Countries

    8 Asia-Pacific

    • 8.1 Asia-Pacific Tiny Machine Learning (TinyML) Market Size (2017-2028)
    • 8.2 Asia-Pacific Tiny Machine Learning (TinyML) Market Size by Country (2017-2022)
    • 8.3 Asia-Pacific Tiny Machine Learning (TinyML) Market Size by Country (2023-2028)
    • 8.4 China
    • 8.5 Japan
    • 8.6 South Korea
    • 8.7 Southeast Asia
    • 8.8 India
    • 8.9 Australia

    9 Latin America

    • 9.1 Latin America Tiny Machine Learning (TinyML) Market Size (2017-2028)
    • 9.2 Latin America Tiny Machine Learning (TinyML) Market Size by Country (2017-2022)
    • 9.3 Latin America Tiny Machine Learning (TinyML) Market Size by Country (2023-2028)
    • 9.4 Mexico
    • 9.5 Brazil

    10 Middle East & Africa

    • 10.1 Middle East & Africa Tiny Machine Learning (TinyML) Market Size (2017-2028)
    • 10.2 Middle East & Africa Tiny Machine Learning (TinyML) Market Size by Country (2017-2022)
    • 10.3 Middle East & Africa Tiny Machine Learning (TinyML) Market Size by Country (2023-2028)
    • 10.4 Turkey
    • 10.5 Saudi Arabia
    • 10.6 UAE

    11 Key Players Profiles

    • 11.1 Google
      • 11.1.1 Google Company Detail
      • 11.1.2 Google Business Overview
      • 11.1.3 Google Tiny Machine Learning (TinyML) Introduction
      • 11.1.4 Google Revenue in Tiny Machine Learning (TinyML) Business (2017-2022)
      • 11.1.5 Google Recent Development
    • 11.2 Microsoft
      • 11.2.1 Microsoft Company Detail
      • 11.2.2 Microsoft Business Overview
      • 11.2.3 Microsoft Tiny Machine Learning (TinyML) Introduction
      • 11.2.4 Microsoft Revenue in Tiny Machine Learning (TinyML) Business (2017-2022)
      • 11.2.5 Microsoft Recent Development
    • 11.3 ARM
      • 11.3.1 ARM Company Detail
      • 11.3.2 ARM Business Overview
      • 11.3.3 ARM Tiny Machine Learning (TinyML) Introduction
      • 11.3.4 ARM Revenue in Tiny Machine Learning (TinyML) Business (2017-2022)
      • 11.3.5 ARM Recent Development
    • 11.4 STMicroelectronics
      • 11.4.1 STMicroelectronics Company Detail
      • 11.4.2 STMicroelectronics Business Overview
      • 11.4.3 STMicroelectronics Tiny Machine Learning (TinyML) Introduction
      • 11.4.4 STMicroelectronics Revenue in Tiny Machine Learning (TinyML) Business (2017-2022)
      • 11.4.5 STMicroelectronics Recent Development
    • 11.5 Cartesian
      • 11.5.1 Cartesian Company Detail
      • 11.5.2 Cartesian Business Overview
      • 11.5.3 Cartesian Tiny Machine Learning (TinyML) Introduction
      • 11.5.4 Cartesian Revenue in Tiny Machine Learning (TinyML) Business (2017-2022)
      • 11.5.5 Cartesian Recent Development
    • 11.6 Meta Platforms/Facebook
      • 11.6.1 Meta Platforms/Facebook Company Detail
      • 11.6.2 Meta Platforms/Facebook Business Overview
      • 11.6.3 Meta Platforms/Facebook Tiny Machine Learning (TinyML) Introduction
      • 11.6.4 Meta Platforms/Facebook Revenue in Tiny Machine Learning (TinyML) Business (2017-2022)
      • 11.6.5 Meta Platforms/Facebook Recent Development
    • 11.7 EdgeImpulse Inc.
      • 11.7.1 EdgeImpulse Inc. Company Detail
      • 11.7.2 EdgeImpulse Inc. Business Overview
      • 11.7.3 EdgeImpulse Inc. Tiny Machine Learning (TinyML) Introduction
      • 11.7.4 EdgeImpulse Inc. Revenue in Tiny Machine Learning (TinyML) Business (2017-2022)
      • 11.7.5 EdgeImpulse Inc. Recent Development

    12 Analyst's Viewpoints/Conclusions

      13 Appendix

      • 13.1 Research Methodology
        • 13.1.1 Methodology/Research Approach
        • 13.1.2 Data Source
      • 13.2 Disclaimer

      Summary:

      Tiny Machine Learning (TinyML) is a field of study in Machine Learning and Embedded Systems that explores the types of models you can run on small, low-powered devices like microcontrollers.
      Industry Insights
      The global Tiny Machine Learning (TinyML) market size is projected to reach US$ million by 2028, from US$ million in 2021, at a CAGR of % during 2022-2028.
      Fully considering the economic change by this health crisis, C Language accounting for % of the Tiny Machine Learning (TinyML) global market in 2021, is projected to value US$ million by 2028, growing at a revised % CAGR from 2022 to 2028. While Manufacturing segment is altered to an % CAGR throughout this forecast period.
      China Tiny Machine Learning (TinyML) market size is valued at US$ million in 2021, while the North America and Europe Tiny Machine Learning (TinyML) are US$ million and US$ million, severally. The proportion of the North America is % in 2021, while China and Europe are % and respectively, and it is predicted that China proportion will reach % in 2028, trailing a CAGR of % through the analysis period 2022-2028. Japan, South Korea, and Southeast Asia are noteworthy markets in Asia, with CAGR %, %, and % respectively for the next 6-year period. As for the Europe Tiny Machine Learning (TinyML) landscape, Germany is projected to reach US$ million by 2028 trailing a CAGR of % over the forecast period 2022-2028.
      With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Tiny Machine Learning (TinyML) market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Tiny Machine Learning (TinyML) market in terms of revenue.
      Overall, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Tiny Machine Learning (TinyML) market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Tiny Machine Learning (TinyML) market.
      Impact of Covid-19 Outbreak
      This section of the report has explored the overall status of the Covid scenario and has offered valuable insights into the changes in supply chain disruption, fluctuations in demand, etc. The analysts have also focused on the key measures that the companies are opting to withstand the harsh scenario.
      Segmental Analysis
      The report has been segmented into product and application segments. The researchers have documented all the products present today in the Tiny Machine Learning (TinyML) market. They have also shed light on the new product innovations and launches by the key players. In the segmental analysis, the analysts have provided revenue forecast figures based on type and application for the period 2017-2028. They have also discussed about the growth rate and potential of each segment for the period 2017-2028.
      Tiny Machine Learning (TinyML) Breakdown Data by Type
      C Language
      Java
      Tiny Machine Learning (TinyML) Breakdown Data by Application
      Manufacturing
      Retail
      Agriculture
      Healthcare
      Regional Analysis
      North America
      United States
      Canada
      Europe
      Germany
      France
      UK
      Italy
      Russia
      Nordic Countries
      Rest of Europe
      Asia-Pacific
      China
      Japan
      South Korea
      Southeast Asia
      India
      Australia
      Rest of Asia
      Latin America
      Mexico
      Brazil
      Rest of Latin America
      Middle East & Africa
      Turkey
      Saudi Arabia
      UAE
      Rest of MEA
      Competitive Landscape
      This segment focuses on the key players operating in the industry. It underlines all the current and future activities by the prominent manufacturers. By understanding various initiatives being taken up by different players, readers will gain the ability to settle on correct business choices. The authors of the report have provided accurate revenue figures of the companies for the period 2017-2022. The clients are sure to gain the upper hand once they get hold of this report. Key players studied in the research report include:
      Google
      Microsoft
      ARM
      STMicroelectronics
      Cartesian
      Meta Platforms/Facebook
      EdgeImpulse Inc.
      Frequently Asked Questions
      What factors will challenge the Tiny Machine Learning (TinyML) market growth?
      Which end-use segment will expand at the fastest CAGR in the Tiny Machine Learning (TinyML) market?
      Which are the emerging players in the Tiny Machine Learning (TinyML) market?
      How concentrated is the Tiny Machine Learning (TinyML) market?
      Which factors are positively contributing to the Tiny Machine Learning (TinyML) market growth?
      Which are the novel product innovations in the Tiny Machine Learning (TinyML) market?
      Which product segment will emerge as the most lucrative in the Tiny Machine Learning (TinyML) market?
      Which factors are increasing the competition in the Tiny Machine Learning (TinyML) market?
      Which are the strategic measures taken by the Tiny Machine Learning (TinyML) industry players?
      Which region will witness inactive growth during the forecast period?
      What key trends are likely to emerge in the Tiny Machine Learning (TinyML) market in the coming years?
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