AI Computing Hardware Market Research Methodologies Offers High Business Outlook growth 2021-2026

The AI Computing Hardware Market report offers an in-depth assessment of market dynamics, the competitive landscape, segments, and regions in order to help readers to become familiar with the AI Computing Hardware market. It particularly sheds light on market fluctuations, pricing structure, uncertainties, potential risks, and growth prospects to help players to plan effective strategies for gaining successful in the AI Computing Hardware market. Importantly, it allows players to gain deep insights into the business development and market growth of leading companies operating in the AI Computing Hardware market.

The AI computing hardware market is expected to record a CAGR of 26% during the forecast period (2021 - 2026).

Get a Free Sample Copy of This Report:

https://www.marketinsightsreports.com/reports/02082593140/ai-computing-hardware-market-growth-trends-covid-19-impact-and-forecasts-2021-2026/inquiry?Mode=namita

Top Leading Companies of AI Computing Hardware Market are - Cadence Design Systems Inc., Synopsys Inc., NXP Semiconductors NV, CEVA Inc., Allied Vision Technologies GmbH, Arm Limited, Knowles Electronics LLC, GreenWaves Technologies, Andrea Electronics Corporation, Basler AG and others.

Industry News and Updates:

- In 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.

Key Market Trends:

Automotive Sector to Witness Significant Growth

- The automotive industry is going through a decade of rapid changes, as vehicles become more connected, new propulsion systems, such as electric motors, reach the mainstream, and the level of vehicle autonomy rises. Many car makers have already responded by announcing pilot projects in autonomous driving, which may need AI computing hardware.

- For instance, NVIDIA DRIVE AGX self-driving compute platforms are built on NVIDIA Xavier, the world’s first processor designed for autonomous driving. The auto-grade Xavier system-on-a-chip (SoC) is in production, and it is architected for safety, incorporating six different types of processors to run redundant and diverse algorithms for AI, sensor processing, mapping, and driving.

- Further, Xpeng P7 is the first L3 autonomy-ready production vehicle in the Chinese market, powered by NVIDIA’s DRIVE AGX Xavier system-on-a-chip, delivering 30 TOPS (trillions of operations per second) performance while consuming only 30 Watts of power. Its autonomous driving system, XPILOT3.0, is made for China’s challenging roads. It contains 12 ultrasonic sensors, five millimeter-wave radars, 14 cameras, and the industry’s only 360◦ multi-perception integrated system.

Asia-Pacific to Register the Fastest Growth Rate

- Asia-Pacific is expected to register a significant growth rate due to advancements in AI technology in countries, such as China and Japan, where players are focused on integrating computing hardware in the devices through partnerships.

- In April 2020, the Chinese AI chip maker, Intellifusion, completed a pre-IPO round of financing of nearly CNY 1 billion (USD 141 million), led by Utrust VC, Forebright Capital, and its existing investor, Walden International. Intellifusion focuses on the field of visual intelligence. Its chip platform, Moss, recently launched the second-generation artificial intelligence chip, DeepEye1000, which is a heterogeneous multi-core visual analysis SoC with a custom instruction set neural network processor embedded.

Investigator Observers Strong Growth in Specific Regions:

– Europe Market (Germany, UK, France, Russia, Italy)

– Center East and Africa Market (Saudi Arabia, UAE, Egypt, Nigeria, South Africa)

– South America Market (Brazil, Argentina, Colombia)

– North America Market (United States, Canada, Mexico)

– Asia Pacific Market (China, Japan, Korea, India, Southeast Asia).

The Latest Industry Data Included in this Report:
- AI Computing Hardware Market Size & Analysis (2016 - 2026)
- Market Share Analysis of AI Computing Hardware Market (%),2016 - 2026
- AI Computing Hardware Market Share, By Brand
- AI Computing Hardware Market Share, By Company
- AI Computing Hardware Market Assessment & Opportunity (Value),2016 - 2026
- Major Companies AI Computing Hardware Market Value Analysis & Forecast
- Promising AI Computing Hardware Development by Major Companies
- Detailed AI Computing Hardware Portfolio of the Major Companies
- Major Deals in the AI Computing Hardware Market
- Major Companies Analysis

Browse Full Report at:

https://www.marketinsightsreports.com/reports/02082593140/ai-computing-hardware-market-growth-trends-covid-19-impact-and-forecasts-2021-2026?Mode=namita

We Offer Customization on Report Based on Specific Client Requirement:

- Country Level analysis for any 5 countries of your choice.

- Competitive analysis of any 5 key market players.

- 40 analyst hours to cover any other data point.

Contact Us:
Irfan Tamboli (Head of Sales) – Market Insights Reports
Phone: + 1704 266 3234 | +91-750-707-8687
sales@marketinsightsreports.com | irfan@marketinsightsreports.com

About Us:

MarketInsightsReports provides syndicated market research on industry verticals including Healthcare, Information and Communication Technology (ICT), Technology and Media, Chemicals, Materials, Energy, Heavy Industry, etc. MarketInsightsReports provides global and regional market intelligence coverage, a 360-degree market view which includes statistical forecasts, competitive landscape, detailed segmentation, key trends, and strategic recommendations.

This release was published on openPR.