What is the current AI Computing Hardware Market size?

The AI Computing Hardware Market is projected to register a CAGR of 26% during the forecast period (2024-2029) Read More

Who are the key players in AI Computing Hardware Market?

Cadence Design Systems, Inc., Synopsys, Inc., NXP Semiconductors N.V., CEVA, Inc. and Allied Vision Technologies GmbH are the major companies operating in the AI Computing Hardware Market. Read More

Which is the fastest growing region in AI Computing Hardware Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029). Read More

Which region has the biggest share in AI Computing Hardware Market?

In 2024, the North America accounts for the largest market share in AI Computing Hardware Market. Read More

What years does this AI Computing Hardware Market cover?

The report covers the AI Computing Hardware Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the AI Computing Hardware Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029. Read More

AI Computing Hardware Market - Size, Share & Companies

AI Computing Hardware Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)

The Global Artificial Intelligence Computing Hardware Market is segmented by Type (Stand-alone Vision Processor, Embedded Vision Processor, Stand-alone Sound Processor, and Embedded Sound Processor), End User (BFSI, Automotive, Healthcare, IT and Telecom, Aerospace and Defense, Energy and Utilities, and Government and Public Services), and Geography.

AI Computing Hardware Industry Overview

The AI computing hardware market is highly fragmented, and the major players have used various strategies, such as new product launches, agreements, joint ventures, partnerships, and acquisitions, to increase their footprints in this market. Key players are Cadence Design Systems Inc., Synopsys Inc., etc. Recent developments in the market include -

2020 - Tenstorrent funded over USD 34 million for all-in-one computer system dubbed to Grayskull. Grayskull's architecture eliminates unnecessary computation to deliver a performance improvement on today's most-used AI models, allowing data scientists to train sophisticated AI without having to pay through the nose for cloud-hosted resources. The system features 120 of Tenstorrent's proprietary Tensix cores, each of which comprises a high-utilization packet processor, a single instruction multiple data (SIMD) processor, a dense math computational block and five reduced instruction set computer (RISC) cores.