Artificial Intelligence Chips Market Highlights, Recent Trends, Market Growth and Opportunities till 2027– AMD (Advanced Micro Device), Google, Intel, NVIDIA, Baidu, Graphcore

The Artificial Intelligence Chips Market report provides the overall structure and business outlook of the global and regional industries. The study also involves the important Achievements of the market, Research & Development, new product launch, product responses, and regional growth of the leading competitors operating in the market on a global and local scale. This study provides information about the growth and revenue during the historic and forecasted period of 2026 to 2027. The structured analysis contains graphical as well as a diagrammatic representation of the global Artificial Intelligence Chips Market with its specific geographical regions.

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“Artificial Intelligence Chips Market was valued at $6,638 million in 2018, and is projected to reach $91,185 million by 2025, registering a CAGR of 45.2% from 2019 to 2025.”

Top leading Companies Profiled in Artificial Intelligence Chips Market Report are AMD (Advanced Micro Device), Google, Intel, NVIDIA, Baidu, Graphcore, Qualcomm,

Industry Recent Developments and Updates

11 February 2020 ARM to Launch New AI Chip for Small Devices- ARM, a semiconductor technology firm owned by SoftBank Group, unveiled a chip technology aimed at putting artificial intelligence functions on tiny devices such as sensors designed to detect patterns in human speech or other streams of data.

AUG 18 2021 China’s Baidu launches second chip and a ‘robocar’ as it sets up future in AI and autonomous driving- GUANGZHOU, China — Chinese internet giant Baidu unveiled its second-generation artificial intelligence chip, its first “robocar” and a rebranded driverless taxi app, underscoring how these new areas of technology are key to the company’s future growth.

In May 2020, NVIDIA launched two powerful products for its EGX Edge AI platform — the EGX A100 for larger commercial off-the-shelf servers and the tiny EGX Jetson Xavier NX for micro-edge servers — delivering high-performance, secure AI processing at the edge. With the NVIDIA EGX Edge AI platform, hospitals, stores, farms, and factories can carry out real-time processing and protection of massive amounts of data streaming from trillions of edge sensors. The platform makes it possible to securely deploy, manage, and update fleets of servers remotely.

In May 2020, NVIDIA announced that the first GPU based on the NVIDIA Ampere architecture, the NVIDIA A100, is in full production and shipping to customers worldwide. The A100 draws on design breakthroughs in the NVIDIA Ampere architecture — offering the company’s largest leap in performance to date within its eight generations of GPUs — to unify AI training and inference and boost performance by up to 20x over its predecessors. A universal workload accelerator, the A100 is also built for data analytics, scientific computing, and cloud graphics.

Market Overview

Artificial intelligence (AI) chips are specialized silicon chips, which incorporate AI technology and are used for machine learning. AI helps to eliminate or minimize the risk to human life in many industry verticals. The need for more efficient systems to solve mathematical and computational problems is becoming crucial owing to the increase in volume of the data. Thus, the majority of the key players in the IT industry have focused on developing AI chips and applications. Furthermore, emergence of quantum computing and increase in implementation of AI chips in robotics drive the growth of the global artificial intelligence chip market. In addition, emergence of autonomous robotics—robots that develop and control themselves autonomously—is anticipated to provide potential growth opportunities for the market.

AI Chips are made up of 16 NVIDIA V100 Tensor Core GPUs. The NVIDIA DGX A100 is the first computer in New Zealand and is the world’s most advanced system for powering universal AI workloads. Examples of applications that people interact with every day that require training include Facebook photos or Google translate. There are four kinds of artificial intelligence: reactive machines, limited memory, theory of mind, and self-awareness. Because of their unique features, AI chips are tens or even thousands of times faster and more efficient than CPUs for the training and inference of AI algorithms. Customer inclination towards the Internet of Things devices is one of the major factors driving the tech giants to develop high-speed processors. AI chips can also be integrated with handheld devices such as smartphones. Such chips offer various benefits like speed, usability, and data privacy & security. Some of the applications of AI chips are intelligent robots, voice recognition, autonomous vehicles, and smart hardware.

Market Research Study Focus on these Types:          

GPU

ASIC

FPGA

CPU

Market Research Study Focus on these Applications:

HPC AI Chips

Terminal AI Chips

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Regional Analysis:

Asia-Pacific (China, India, Japan, South Korea, Australia, Indonesia, Malaysia, and Others), North America (United States, Canada, and Mexico), Central & South America (Brazil, and Rest of South America), Europe (Germany, France, UK, Italy, Russia, and Rest of Europe), Middle East & Africa (GCC Countries, Turkey, Egypt, South Africa and Other)

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Key Takeaways from Artificial Intelligence Chips Report

─Evaluate market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level – for product types, end use applications and by different industry verticals

─Understand the different dynamics influencing the Artificial Intelligence Chips market – key driving factors, challenges and hidden opportunities.

─Get in-depth insights on your competitor performance – Artificial Intelligence Chips market shares, strategies, financial benchmarking, product benchmarking, SWOT and more

─Analyze the sales and distribution channels across key geographies to improve top-line revenues.

─Understand the industry supply chain with a deep dive on the value augmentation at each step, in order to optimize value and bring efficiencies in your processes.

─Get a quick outlook on the market entropy – M&A’s, deals, partnerships, product launches of all key players for the past 4 years.

─Evaluate the supply-demand gaps, import-export statistics and regulatory landscape for more than top 20 countries globally for the Artificial Intelligence Chips

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In conclusion, the Artificial Intelligence Chips market report presents the descriptive analysis of the parent market supported elite players, present, past and artistic movement information which is able to function as a profitable guide for all the Artificial Intelligence Chips Industry business competitors. Our expert research analyst’s team has been trained to provide in-depth market research reports from every individual sector which will be helpful to understand the industry data in the most precise way.

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