Global Tensor Processing Unit (TPU) Market Research Report 2023

Publication ID:

PB504245921

Publication Date:

April 28, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Internet [2]

Computing & Electronics [3]

Description:

Highlights
The global Tensor Processing Unit (TPU) market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Tensor Processing Unit (TPU) is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Tensor Processing Unit (TPU) is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Tensor Processing Unit (TPU) in Deep Learning is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Tensor Processing Unit (TPU) include Google Cloud and AGM Micro etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Tensor Processing Unit (TPU), 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 Tensor Processing Unit (TPU).
The Tensor Processing Unit (TPU) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Tensor Processing Unit (TPU) 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 Tensor Processing Unit (TPU) companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Google Cloud
AGM Micro
Segment by Type
TPU v2
TPU v3
Others
Segment by Application
Deep Learning
Others
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
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, 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 Tensor Processing Unit (TPU) 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 key companies in the market in detail, including product revenue, 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 Tensor Processing Unit (TPU) Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 TPU v2
1.2.3 TPU v3
1.2.4 Others
1.3 Market by Application
1.3.1 Global Tensor Processing Unit (TPU) Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Deep Learning
1.3.3 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Tensor Processing Unit (TPU) Market Perspective (2018-2029)
2.2 Tensor Processing Unit (TPU) Growth Trends by Region
2.2.1 Global Tensor Processing Unit (TPU) Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Tensor Processing Unit (TPU) Historic Market Size by Region (2018-2023)
2.2.3 Tensor Processing Unit (TPU) Forecasted Market Size by Region (2024-2029)
2.3 Tensor Processing Unit (TPU) Market Dynamics
2.3.1 Tensor Processing Unit (TPU) Industry Trends
2.3.2 Tensor Processing Unit (TPU) Market Drivers
2.3.3 Tensor Processing Unit (TPU) Market Challenges
2.3.4 Tensor Processing Unit (TPU) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Tensor Processing Unit (TPU) Players by Revenue
3.1.1 Global Top Tensor Processing Unit (TPU) Players by Revenue (2018-2023)
3.1.2 Global Tensor Processing Unit (TPU) Revenue Market Share by Players (2018-2023)
3.2 Global Tensor Processing Unit (TPU) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Tensor Processing Unit (TPU) Revenue
3.4 Global Tensor Processing Unit (TPU) Market Concentration Ratio
3.4.1 Global Tensor Processing Unit (TPU) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Tensor Processing Unit (TPU) Revenue in 2022
3.5 Tensor Processing Unit (TPU) Key Players Head office and Area Served
3.6 Key Players Tensor Processing Unit (TPU) Product Solution and Service
3.7 Date of Enter into Tensor Processing Unit (TPU) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Tensor Processing Unit (TPU) Breakdown Data by Type
4.1 Global Tensor Processing Unit (TPU) Historic Market Size by Type (2018-2023)
4.2 Global Tensor Processing Unit (TPU) Forecasted Market Size by Type (2024-2029)
5 Tensor Processing Unit (TPU) Breakdown Data by Application
5.1 Global Tensor Processing Unit (TPU) Historic Market Size by Application (2018-2023)
5.2 Global Tensor Processing Unit (TPU) Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Tensor Processing Unit (TPU) Market Size (2018-2029)
6.2 North America Tensor Processing Unit (TPU) Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Tensor Processing Unit (TPU) Market Size by Country (2018-2023)
6.4 North America Tensor Processing Unit (TPU) Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Tensor Processing Unit (TPU) Market Size (2018-2029)
7.2 Europe Tensor Processing Unit (TPU) Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Tensor Processing Unit (TPU) Market Size by Country (2018-2023)
7.4 Europe Tensor Processing Unit (TPU) Market Size by Country (2024-2029)
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 Tensor Processing Unit (TPU) Market Size (2018-2029)
8.2 Asia-Pacific Tensor Processing Unit (TPU) Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Tensor Processing Unit (TPU) Market Size by Region (2018-2023)
8.4 Asia-Pacific Tensor Processing Unit (TPU) Market Size by Region (2024-2029)
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 Tensor Processing Unit (TPU) Market Size (2018-2029)
9.2 Latin America Tensor Processing Unit (TPU) Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Tensor Processing Unit (TPU) Market Size by Country (2018-2023)
9.4 Latin America Tensor Processing Unit (TPU) Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Tensor Processing Unit (TPU) Market Size (2018-2029)
10.2 Middle East & Africa Tensor Processing Unit (TPU) Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Tensor Processing Unit (TPU) Market Size by Country (2018-2023)
10.4 Middle East & Africa Tensor Processing Unit (TPU) Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google Cloud
11.1.1 Google Cloud Company Detail
11.1.2 Google Cloud Business Overview
11.1.3 Google Cloud Tensor Processing Unit (TPU) Introduction
11.1.4 Google Cloud Revenue in Tensor Processing Unit (TPU) Business (2018-2023)
11.1.5 Google Cloud Recent Development
11.2 AGM Micro
11.2.1 AGM Micro Company Detail
11.2.2 AGM Micro Business Overview
11.2.3 AGM Micro Tensor Processing Unit (TPU) Introduction
11.2.4 AGM Micro Revenue in Tensor Processing Unit (TPU) Business (2018-2023)
11.2.5 AGM Micro 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 Cloud
AGM Micro

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