Market Highlights
The global artificial intelligence (AI) chipset market is set to exhibit a compound annual growth rate of 31.03% during the forecast period (2018-2023) projects Market Research Future (MRFR) in its latest report. Artificial intelligence (AI) chipsets supports an array of AI technologies include machine learning, deep learning, natural language processing, and neural network processing.
Primary Drivers and Main Barriers
Artificial Intelligence (AI) solutions are expected to contribute considerably while handling the COVID-19 outbreak and also address the subsequent emergence of challenges. The pandemic has prompted numerous pharmaceutical firms as well as healthcare establishments to boost their research and development (R&D) funding in AI. AI solutions help in e-learning, the demand for which is anticipated to skyrocket with the closure of various educational institutes like universities and schools. The technology also helps in offering remote assistance while preventing unnecessary travel, which is the main focus during the outbreak. The rising use of smartphones as well as smart devices also seems to be working favor of the artificial intelligence chip market all over the world.
Artificial intelligence chipsets are anticipated to be one of the most important components of the future smart devices. The AI technology is of high economic significance, as it stimulates the intelligence of products as well as services. For this reason, its demand has risen significantly in industries like education, finance, logistics, transportation and healthcare. Chipsets act as the physical aspect of all the AI-backed applications, making it a valuable tool when it comes to development of AI applications.
A huge number of tech giants across the world are working on the development of artificial intelligence chipset to create high-speed computing processors that can back voluminous data and applications at the same time. To cite a reference, Intel Corporation recently built Intel Nervana Neural Network Processors that are used in inference and training workload domains. These AI chipsets have been particularly made to fulfill the high-speed need of artificial intelligence computing, with better performance. This factor has significantly boosted the adoption of AI chipsets in automotive, consumer electronics, manufacturing, healthcare, and more, leading to better business expansion.
Leading Competitors
IBM Corporation (US), Huawei Technologies Co. Ltd (China), Advanced Micro Devices (US), Samsung Electronics Co., Ltd (South Korea), Micro Technology (US), Intel Corporation (US), Qualcomm Technologies Inc. (US), NVIDIA Corporation (US), are the leading AI chipset market companies.
Segmentation:
MRFR reports includes a detailed segmental analysis of the market based on component, technology, application, vertical and region.
By component, the market has been segmented into hardware and software. The hardware segment is further sub-segmented into processors, CPU, GPU, ASIC, FPGA, memory and network. The hardware segment is expected to remain highly attractive during the assessment period. In addition, the segment currently accounts for more than 80% market share in terms of value. In 2017, the segment stood at a market valuation of USD 2.97 Billion and is expected to witness a CAGR of 31.45% during the review period.
By technology, the market has been segmented into machine learning, natural language processing (NLP), and others (deep learning and computer vision). In terms of value, the machine learning segment accounted for 59.48% in 2017 and is project to capture a CAGR of 30.95% during the assessment period. Machine learning is one of the core technology of AI chipset.
By application, the market has been segmented into smartphones, smart wearable, robotics, automobile, security systems, and medical imaging. In 2017, the smartphones segment accounted for 26.92% market share in terms of value. The segment holds the leading position and is expected to witness a robust CAGR of 29.33% till 2023. The automobile segment is projected to exhibit a relatively higher CAGR.
By vertical, the market has been segmented into consumer electronics, automotive, retail, IT & Telecommunication, media & telecommunication, medical & entertainment, healthcare, and BFSI. The consumer electronics segment is expected to remain highly attractive during the foreseeable future. The segment was valued at USD 901.80 Million in 2017 and is likely to post a CAGR 28.36% from 2018 to 2023.
Regional Insight
The top markets for AI chipset are APAC or Asia Pacific, MEA or Middle East & Africa, North America, Europe, and South America.
North America can possibly emerge as the most profitable market for AI chipsets in the years ahead, thanks to the existence of a huge number of celebrated tech giants like Google, Amazon.com Inc. and IBM Corporation. The region holds a vast population with high purchasing power, which adds to the market strength as well. High investments in infrastructure, along with the rising focus on building in-house production sites for AI applications also benefits the regional market. The region is also observing a surge in the number of start-ups that develop advanced AI chipsets, one of which is Cerebras in the U.S. that has developed a large AI chip to be used in data centers.
The APAC market is largely backed by the frequent advancements in the developing nations like India and China, with respect to industries like finance, automotive & transportation, media & advertising, healthcare, retail, and others. The significant industrial expansion in these countries has booted the growth potential for AI.
Latest News
April 2020
Google recently made use of artificial intelligence to boost their AI chip production. The team use reinforcement-learning algorithm to develop thousands of chip floor plans in just a second or less.
Browse Complete Report @ https://www.marketresearchfuture.com/reports/artificial-intelligence-chipset-market-4987
Mobile Encryption Market - OverviewThe global Mobile Encryption Market is expected to exhibit a solid 27.75% CAGR over the forecast period from 2018 to 2023, according to the latest research report from Market Research Future (MRFR).
The global mobile encryption market was valued at USD 705.2 million in 2017 and is expected to undergo robust growth over the forecast period to reach a valuation of more than USD 3 billion by 2023, according to the report.
Based on this information, accurate and reliable projections for the market’s likely growth trajectory over the forecast period till 2022 are presented in the report.
The competitive landscape of the global mobile encryption market is thus examined in detail in the report.
The growing threat of data theft has been a major driver for the global mobile encryption market over the last few years.
The increasing proliferation of consumer electronics such as smartphones and tablets is likely to remain a major driver for the global mobile encryption market over the forecast period.
The increasing adoption of Industrial IoT and Industry 4.0 and increasing need for real-time communication for various applications are the major drivers for the TSN market.According to research report Time-Sensitive Networking Market is segmented by Component (Switches, Hubs, Routers, and Gateways, and Memory), Application (Industrial Automation, Power and Energy, Automotive, Transportation, Oil & Gas, Aerospace), and Geography - Global Forecast to 2024.Browse 32 Market Data Tables and 43 Figures spread through 141 Pages and in-depth TOC on "Time-Sensitive Networking Market - Global Forecast to 2024"Download FREE PDF Copy:https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=215000493Switches expected to hold a major share of the TSN market during the forecast periodSwitches are expected to lead the time-sensitive networking (TSN) market in 2019.
The use of switches has been increasing to build a wider industrial network.
Recently in April 2017, Broadcom Limited (Singapore) introduced a family of Ethernet switches (BCM53570) that supports TSN.
Industrial automation application is important for TSN because of the increasing interest in the industrial IoT (IIoT) and its related data, specifically, the mission-critical, time-sensitive data that must be transferred and shared within strict bounds of latency and reliability.
Hence, TSN is expected to provide ample of opportunities for industrial automation application.
TSN is used in industrial automation application for various segments such as machine-to-machine communication and motion control applications.
Artificial intelligence in supply chain market is a rise in demand for greater visibility and transparency in the supply chain and logistics data maintained by the companies and hence this factor will be the driving factor for the growth of the market.
Artificial Intelligence stores high amount of data and information and hence to avoid traditional data monitoring artificial intelligence in supply chain will be the opportunity factor for the market.The lack of workforce and the increasing cost for the same is one of the most important factor for driving the market towards adoption of artificial intelligence in the supply chain market.
The artificial intelligence requires coding which will be restraining factor for the market growth as the skilled workforce which are specialised in coding are required.Artificial intelligence in supply chain market is expected to reach USD 46.22 million by 2027 at a CAGR of 8.1% in the forecast period of 2020 to 2027.
Data Bridge Market Research report on artificial intelligence in supply chain market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.This Artificial Intelligence in Supply Chain Market research report intensely analyses the potential of the market with respect to current scenario and the future prospects by considering several industry aspects of Cardinal Health industry.
The report also recognizes and analyses the rising trends along with major drivers, challenges and opportunities in the market.
This Artificial Intelligence in Supply Chain Market report provides major statistics on the market status of global and regional manufacturers and is a helpful source of assistance and direction for companies and individuals interested in Healthcare industry.
It includes the size, share, growth, trends, key players, segments and regional analysis in detail during the study year 2020-2027.The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide.
The major players in the 5g in healthcare market include AT, Capsule Technologies, Huawei Technologies, Intel Corporation, Samsung Electronics, Telefonaktiebolaget LM Ericsson, Verizon Communications Inc.
This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.Get more information on "Global 5G in Healthcare Market Research Report" by requesting FREE Sample Copy at https://www.valuemarketresearch.com/contact/5g-in-healthcare-market/download-sampleMarket DynamicsThe healthcare sector on the constant lookout for new ways and advanced technology to play a more impactful role in transforming healthcare delivery will be the primary impetus for market growth.
The possibility to deliver critical healthcare services over a wireless network, especially for chronically ill or quarantined patients using 5G, will provide lucrative opportunities for market growth.
The complex demands in terms of volume, variety, and velocity of healthcare requests witnessed during the ongoing COVID-19 pandemic will boost the adoption of 5G in healthcare.
This market's main challenge is the healthcare industry's inability to stay adaptable to leverage the novel applications enabled by 5G networks fully.The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis.
Market Research Future (MRFR) believes that the global operational analytics market can achieve a CAGR of 15% during the forecast period (2018-2023).
It also has the potential to reach a valuation of approximately 11 billion by 2023.Primary Drivers and Top Barriers The global operational analytics market size is set to expand in the coming years, with the transition from traditional business to sophisticated business intelligence methods.
Operational analytics offer a host of benefits that help optimize daily business operations.
In addition, it helps reduce the operating time and also provides real-time data streaming.A number of industries are witnessing digitization due to technological advancements, which helps the operational analytics market advance all across the globe.
It aids in elevating the transactional effectiveness by enhancing transactions, reducing the risk of fraudulent practices, surging competitive spirit, and improved decision-making efficiency.More INformation@ https://www.marketresearchfuture.com/reports/operational-analytics-market-1887Rising adoption of cloud-based technology also benefits the market.
Market Segmentation The primary segments in the operational analytics market are type, business utility, application, deployment type, and verticals.
