Artificial Intelligence (AI) Chipset Market 2018: Global Analysis, Business Strategy, Development Status, Emerging Technologies, Future Plans and Trends by Forecast 2023

Artificial Intelligence (AI) Chipset Market, Application (Robotics, Smartphones, Security systems, Vehicles), Technology (Deep Learning, Neural networks, Natural language processing), Component (Software, Hardware, Services), End-User - Forecast 2023

Market Highlights:

Due to high growth in artificial intelligence applications, enterprises tend to demand machine learning specialized devices, equipped with specialized chipsets. These AI enabled chipsets are expected to drive the growth of hardware chipset manufacturing into next stage of progress in this field. These technologies, after installation on any smart device, would have a great impact that can be seen in retail, healthcare, automotive and transportation, smartphones, robotics and many more. Many of the start-ups like Cerebras Systems have emerged in the past years in arrears to significant technological advancements.

Artificial Intelligence is expected to disrupt every business and enterprises across the world. One of the major factors that drive the growth of artificial intelligence chipset market is the growing advancement in big data, and adoption of artificial intelligence enabled devices and services across various different domains. These products and services tend to improve the consumer experience and further improve by machine learning integration with artificial intelligence. Artificial intelligence learns from itself to improve the next encounter with the user.

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Major Key Players

Huawei Technologies Co. Ltd (China),
Qualcomm, Inc (U.S.),
FinGenius Ltd. (U.K.),
General Vision, Inc. (U.S.),
NVIDIA Corporation (U.S.),
Intel Corporation (U.S.),
MediaTek Inc (Taiwan),
Samsung Electronics Co., Ltd (South Korea),
Advanced Micro Devices (U.S.),
Apple Inc (U.S.).
The other key players in the market include Numenta, Inc. (U.S.), Sentient Technologies (U.S.), Inbenta Technologies, Inc. (U.S.), Cerebras Systems (U.S.), Microsoft Corporation (U.S.), Google Inc (U.S.), IBM Corporation (U.S.) among others.

According to MRFR, The global Artificial Intelligence Chipset Market is expected to reach approximately USD 18 billion by the end of 2023 with 49% CAGR during forecast period 2017-2023.

Industry News

Feb 2018 – ARM, the British chip designer, is the latest firm to prime the AI pump with specialized hardware, unveiling two new processor design which would deliver transformational amount of compute capability for companies building machine learning-powered gadgets. The designs are for the ARM Machine Learning (ML) Processor, which will speed up general AI applications from machine translation to facial recognition; and the ARM Object Detection (OD) Processor, a second-generation design optimized for processing visual data and detecting people and objects.

Nov 2017 – China’s government has issued a new strategy which aims to draw level with the US in artificial intelligence technology within three years, and become the world leader by 2030.

Jul.18.17- MasterCard Acquires Brighterion For AI Technologies. Brighterion has developed an AI- and machine learning-based suite of technologies that would assist MasterCard in preventing any type of fraud. The deal is a continuation of MasterCard's focus on acquiring risk-quantifying and predictive technologies in response to greater financial security threats.

Competitive Analysis

The Market of Artificial Intelligence Chipset appears to be highly competitive. To maintain their market position and to drive the market growth, various dynamic and diversified international organizations, domestic organizations and as well as new entrants form a competitive landscape. Market leaders are innovating continuously and increasingly seeking market expansion through various strategic mergers and acquisitions, innovation, increasing investments in research and development and cost-effective product portfolio. Major players are investing on internal R&D and, most of all, in acquiring other firms. The companies like Tesla, Apple and IBM are innovating to install artificial intelligence enabled chipsets in automobiles, smartphones and medical equipment.

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Segmentation

The market of artificial intelligence chipset is segmented into components, technology, application, and end-user. The AI chipset hold almost more than 50% of the applications in smartphones and smart wearable. Companies like Samsung, Apple and Google have already made their presence in artificial intelligence chipsets for smartphones and wearable. The AI technology helps the smartphone application to integrate with the outside environment and consumer preference, and accordingly optimize the system performance.

On the basis of technology, the market is segmented into deep learning, neural networks, natural language processing, and facial recognition. Among these, the natural language processing (NLP) is having the largest market share. This is majorly due to the increasing application of natural language processing for the improvement of consumer services in the retail sector.

Regional Analysis

By geography, the market is segmented into North America, Europe, Asia Pacific and the rest of the world. North America holds the largest market share of the artificial intelligence chipset. North America is a fastest-growing market in terms of technological development, production operations and processes, and others. The higher implementation of AI technologies in various industrial sectors like manufacturing, media and entertainment, healthcare is the major reason adding to the growth of the artificial intelligence market in North America. Companies like Tesla, Apple and IBM are innovating to install artificial intelligence enabled chipsets in automobiles, smartphones and medical equipment.

Intended Audience

Artificial Intelligence Chipset services providers
Software Solution providers
Semiconductor services providers
Imaging Analytics vendors
Cloud Service providers
Project accounting solution providers
Value-added resellers
Research firms

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Release ID: 449096