Global Tiny Machine Learning (TinyML) Market Research Report 2024

Publication ID:

PB504244697

Publication Date:

April 17, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
The global Tiny Machine Learning (TinyML) market was valued at US$ 1025 million in 2023 and is anticipated to reach US$ 3478.4 million by 2030, witnessing a CAGR of 9.8% during the forecast period 2024-2030.
The market size has grown at a moderate pace over the past few years with a high growth rate, and the market is expected to grow significantly over the forecast period.
This report aims to provide a comprehensive presentation of the global market for Tiny Machine Learning (TinyML), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Tiny Machine Learning (TinyML).
Report Scope
The Tiny Machine Learning (TinyML) market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Tiny Machine Learning (TinyML) market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Tiny Machine Learning (TinyML) companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Google
Microsoft
ARM
STMicroelectronics
Cartesian
Meta Platforms/Facebook
EdgeImpulse Inc.
Segment by Type
C Language
Java
Segment by Application
Manufacturing
Retail
Agriculture
Healthcare
By Region
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
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Tiny Machine Learning (TinyML) companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

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: 2019 VS 2023 VS 2030
1.2.2 C Language
1.2.3 Java
1.3 Market by Application
1.3.1 Global Tiny Machine Learning (TinyML) Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Manufacturing
1.3.3 Retail
1.3.4 Agriculture
1.3.5 Healthcare
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Tiny Machine Learning (TinyML) Market Perspective (2019-2030)
2.2 Tiny Machine Learning (TinyML) Growth Trends by Region
2.2.1 Global Tiny Machine Learning (TinyML) Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Tiny Machine Learning (TinyML) Historic Market Size by Region (2019-2024)
2.2.3 Tiny Machine Learning (TinyML) Forecasted Market Size by Region (2025-2030)
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 (2019-2024)
3.1.2 Global Tiny Machine Learning (TinyML) Revenue Market Share by Players (2019-2024)
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 2023
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 (2019-2024)
4.2 Global Tiny Machine Learning (TinyML) Forecasted Market Size by Type (2025-2030)
5 Tiny Machine Learning (TinyML) Breakdown Data by Application
5.1 Global Tiny Machine Learning (TinyML) Historic Market Size by Application (2019-2024)
5.2 Global Tiny Machine Learning (TinyML) Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Tiny Machine Learning (TinyML) Market Size (2019-2030)
6.2 North America Tiny Machine Learning (TinyML) Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Tiny Machine Learning (TinyML) Market Size by Country (2019-2024)
6.4 North America Tiny Machine Learning (TinyML) Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Tiny Machine Learning (TinyML) Market Size (2019-2030)
7.2 Europe Tiny Machine Learning (TinyML) Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Tiny Machine Learning (TinyML) Market Size by Country (2019-2024)
7.4 Europe Tiny Machine Learning (TinyML) Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Tiny Machine Learning (TinyML) Market Size (2019-2030)
8.2 Asia-Pacific Tiny Machine Learning (TinyML) Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Tiny Machine Learning (TinyML) Market Size by Region (2019-2024)
8.4 Asia-Pacific Tiny Machine Learning (TinyML) Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Tiny Machine Learning (TinyML) Market Size (2019-2030)
9.2 Latin America Tiny Machine Learning (TinyML) Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Tiny Machine Learning (TinyML) Market Size by Country (2019-2024)
9.4 Latin America Tiny Machine Learning (TinyML) Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Tiny Machine Learning (TinyML) Market Size (2019-2030)
10.2 Middle East & Africa Tiny Machine Learning (TinyML) Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Tiny Machine Learning (TinyML) Market Size by Country (2019-2024)
10.4 Middle East & Africa Tiny Machine Learning (TinyML) Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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 (2019-2024)
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
13.3 Author Details

Companies Mentioned:

Google
Microsoft
ARM
STMicroelectronics
Cartesian
Meta Platforms/Facebook
EdgeImpulse Inc.

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