Artificial Intelligence (AI) Chipset Market 2018 Leading Growth Drivers, Opportunity Assessment, Future Scope and Potential of Industry by 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 Research Future published a Half Cooked research report on “Global Artificial Intelligence Chipset Market Research Report - Forecast to 2023” – Market Analysis, Scope, Stake, Progress, Trends and Forecast to 2023

Market Highlights:

The engineering and deployment of machines to make them to perform tasks with intelligence similar to human intelligence is referred as artificial intelligence (AI). AI has witnessed significant growth in recent years due the innovations and developments of big players like IBM, Amazon, and Apple into artificial intelligence (AI). Additionally, the evolution of various other supplementary technologies such as cloud computing, machine learning, and cognitive computing is collectively increasing the growth of the market for AI.

Artificial Intelligence (AI) chipset is expected grow due to the amalgamation of various technologies such as digital personal assistance, deep learning, natural language processing, and context-aware processing to develop an AI-featured product. The major growth driver for the Artificial Intelligence Chipset market is the algorithms like deep learning and its hierarchical pattern recognition acts as a major force driving the adoption of AI. Software such as RStudio and Sentient, were the first to adopt Artificial Intelligence Chipset. Adoption of AI in hardware is most significant factor boosting market growth. For example Qualcomm’s new neural processing unit (NPU), Nvidia’s deep learning chip, and IBM’s TrueNorth neuromorphic computing platform, more chips are being developed to enable faster and more powerful AI.

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Major Key Players

The artificial intelligence chipset market largely comprises of chipset manufacturers delivering a major proportion of services to smartphone manufacturers and smart device manufacturers. Many of the smartphone manufacturers have their in-house chipset manufacturing, yet other manufacturers acquire services from other firms. Some of the prominent players in artificial intelligence chipset market include 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.

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.


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.

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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: 395650