Tensor Processing Unit Global Market Report 2025

Tensor Processing Unit Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on tensor processing unit market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

• Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
• Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
• Create regional and country strategies on the basis of local data and analysis.
• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on the latest market shares.
• Benchmark performance against key competitors.
• Suitable for supporting your internal and external presentations with reliable high quality data and analysis
• Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
• All data from the report will also be delivered in an excel dashboard format.

Description:

Where is the largest and fastest growing market for tensor processing unit ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The tensor processing unit market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:1) By Tensor Core: FP16; FP32; FP64; INT8; INT16; INT32

2) By Architecture: Scalable Vector Extension (SVX); Matrix Multiply (MXM); Mixed Precision; Cross-bar Interconnect

3) By Form Factor: PCIe; PCIe Riser Card; Embedded System

4) By Application: Cloud Computing; Data Centers; Machine Learning; Data Analytics; Artificial Intelligence

5) By Vertical: Healthcare; Automotive; Financial Services; Retail; Telecommunications

Subsegments:

1) By FP16: Inference Workloads; Training Workloads

2) By FP32: High Precision Training; High Performance Computing (HPC)

3) By FP64: Scientific Computing; High-Performance Simulation

4) By INT8: Edge AI Inference; Image Recognition

5) By INT16: Mixed Precision Workloads; Machine Learning Inference

6) By INT32: Data Processing and Analytics; Complex Computational Tasks

Companies Mentioned:Google LLC; Samsung Electronics Co.; Microsoft Corporation; Intel Corporation; International Business Machines Corporation; Qualcomm Technologies Inc.; Fujitsu Ltd.; NVIDIA Corporation; Texas Instruments Inc.; STMicroelectronics; Infineon Technologies AG; NXP Semiconductors NV; Analog Devices Inc.; Renesas Electronics Corp.; Harman International Industries Inc.; Microchip Technology Inc.; ROHM Semiconductor Co. Ltd.; Tessolve Semiconductor Pvt. Ltd.; ADLINK Technology Inc.; 4D Systems; Alif Semiconductor; Cypress Technology Co. Ltd.; ARM Holdings LP; GHI Electronics LLC; Amulet Technologies LLC

Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain

Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa

Time Series: Five years historic and ten years forecast.

Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,

Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.

Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.

Delivery Format: PDF, Word and Excel Data Dashboard.

Please Note: Report will be updated with the latest data and delivered to you within 3-5 working days of order. Show more