Artificial Intelligence Chip Market: Size, Share, Growth, Analysis, Key Players, Revenue, | Valuates Reports

Artificial Intelligence Chip Market
The global artificial intelligence chip market was valued at $11.2 billion in 2021 and is projected to reach $263.6 billion by 2031, growing at a CAGR of 37.1% from 2022 to 2031.

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Top Impacting Factors
The significant factors impacting the growth of the global artificial intelligence chip market include an increase in demand for smart homes & smart cities paired with the rise in investment in AI startups. Further, the emergence of quantum computing is driving the market for artificial intelligence solutions in the coming years. However, the death of skilled workers acts as the major barrier to early adoption; thereby, hampering the growth of the market. In contrast, the increase in the adoption of AI chips in developing regions and the development of smarter robots is offering significant growth opportunities for the artificial intelligence chip market forecast.
The semiconductor industry globally has been impacted by the spread of Covid-19 and improvements are expected to be completed in the upcoming years with more efficiency in order to make up for lost opportunities during lockdowns.
The global artificial intelligence chip market outlook is highly competitive, owing to the strong presence of existing vendors. Vendors of the artificial intelligence chip market with extensive technical and financial resources are expected to gain a competitive advantage over their competitors because they can cater to market demands. The competitive environment in this market is expected to increase as technological innovations, product extensions, and different strategies adopted by key vendors increase.
NVIDIA Corporation, Advanced Micro Devices Inc. (Xilinx Inc.), Qualcomm Technologies Inc., NXP Semiconductors, and Intell Corporation are the top 5 companies holding a prime share in the artificial intelligence chip market. Top market players have adopted various strategies, such as product launches, contracts, and others to expand their foothold in the artificial intelligence chip market share.
• In September 2022, NVIDIA unveiled a new type of graphics chip that uses enhanced artificial intelligence to create more realistic images in games.
• In October 2022, Oracle and Nvidia extended the collaboration to help speed customer adoption of artificial intelligence (AI) services. As part of the deal, Oracle Cloud Infrastructure (OCI), which is Oracle's cloud service, beef up the infrastructure with tens of thousands of Nvidia GPUs, both the Ampere A100 currently on the market and the Hopper H100. Oracle also added Nvidia's AI software stack that supports AI training and deep learning.
• In September 2022, AMD introduced the RyzenTM. Embedded V3000 Series processors, adding the high-performance "Zen 3" core to the V-Series portfolio to deliver reliable, scalable processing performance for a wide range of storage and networking system applications. AMD Ryzen Embedded V3000 Series processors delivered the performance and low-power options required for some of the most demanding 24x7 operating environments and workloads.
• In August 2022, Qualcomm Technologies, Inc. announced that its Snapdragon 8+ Gen 1 Platform powered Samsung Electronics Co., Ltd.'s cutting-edge foldable smartphones. The Samsung Galaxy Z Fold4 and Galaxy Z Flip4.
• In July 2022, Mahindra & Mahindra Ltd. announced work with Visteon Corporation and brought transformative in-vehicle experiences to the Scorpio-N, utilizing the 3rd Generation SnapdragonR. Cockpit Platforms from Qualcomm Technologies, Inc. The Scorpio-N offers a cutting-edge driving and ownership experience provided by Mahindra's connected artificial intelligence (AI) technology, which utilizes Visteon's SmartCoreTM. cockpit domain controller technology based on the Snapdragon Cockpit Platforms.
• In April 2021, Avnet's development kit deployed autonomous artificial intelligence (AI) capabilities to embedded applications, thereby reducing the dependency on cloud connectivity or processing. The Avnet Edge AI Development Kit featured Avnet Embedded's robust SMARC Computer-on-module (COM), based on NXP's i.MX 8M Plus applications processor, combined with a production-ready SimpleFlex Carrier and a long-term available 10.1 touch display, provides a cost-effective, high-performance computing solution for machine learning (ML) edge applications.
• In August 2022, Intel's collaborated with Aible a cloud-based solution provider to leverage artificial intelligence and delivered rapid and measurable business impact. This deep collaboration includes engineering optimizations and an innovative benchmarking program, enhancing Aible's ability to deliver rapid results to its enterprise customers.
• In February 2022, Intel launched XeonR., which is a new dual-track roadmap of Performance-core and Efficient-core based products, moving from two optimized platforms into one common, industry-defining platform. This path maximizes performance-per-watt, segment features, and Intel's overall competitiveness within the industry. The global artificial intelligence chip market was valued at $11.2 billion in 2021 and is projected to reach $263.6 billion by 2031, growing at a CAGR of 37.1% from 2022 to 2031.

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