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EDA World - Chip Design & Verification

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Arshiya Shaikh Narrowband IoT (NB-IoT) Market 2019-2024 Industry Innovation, Demand, Growth, Development trends & Research by Top Key Players –Huawei Technologies, Qualcomm Technologies, Ericsson Corporation, Vodafone Group
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Need for low-power consumption and low cost is expected to drive the NB-IoT market.
Asset tracking is expected to be the fastest growing market in the NB-IoT smart application market as wireless asset tracking, sensing, and control of products would provide a round-the-clock visibility concerning the whereabouts and state of assets in the supply chain.
Market Segment by Companies, this report covers
Huawei Technologies, Qualcomm Technologies, Ericsson Corporation, Vodafone Group, Nokia Corporation, SEQUANS Communications, Quectel Wireless Solutions, ZTE Corporation, Sierra Wireless, Intel Corporation, Deutsche Telekom, China Telecom, China Unicom, Etisalat Corporation
Market Segment by Type, covers
Hardware, Software, Services
Market Segment by Applications, can be divided into
Healthcare, Retail, Energy & utilities, Transportation & logistics, Agriculture, Smart Cities, Others
Abhi Salunkhe Machine Learning Chip Market to 2027 - Global Analysis and Forecasts
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The key players influencing the machine learning chip market are Alphabet Inc., Advanced Micro Devices, Inc.,, Inc., Baidu Inc., Bitmain Technologies Ltd., Intel Corporation, Nvidia Corporation, Samsung Electronics Co Ltd., Qualcomm Incorporated, Xilinx, Inc. among others.
The rising complex and large dataset has steered the need for artificial intelligence solutions has majorly driven the machine learning chip market. Further, declining hardware cost has supplemented the demand for machine learning chip across diverse verticals. However, lack of skilled workforce is hindering the growth of the market.
Machine learning is a branch of artificial intelligence that enables machine to develop the ability for self-learning and adaption through experience without being explicitly programmed. It is considered as a method of data analysis that automates analytical model building. Machine learning has been present from decades but not been widely used due to lack of big data it requires for processing. Over the last several decades, enterprises have been dependent greatly on analytics to provide them with competitive advantage and enable them to be more effective. But, enterprises now want real time analytics and the capability to transform data into actionable insight. This has steered the development of machine learning chip.
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Janie Lobo Machine Learning Chip Industry Growth in Near Future
Improved productivity, diversified application areas, and trending Artificial Intelligence (AI) have increased the rate of adoption of machine learning chip in robotics, automotive, healthcare, and other sectors. Hence, the global machine learning chip market is expected to witness moderate growth in the near future, owing to compact size and enhanced durability. However, lack of skilled workforce hampers the market growth. Popularity of Internet of Things (IoT) and increase in demand for automated devices are expected to provide lucrative opportunities to the market.
The global machine learning chip market is segmented on the basis of type, application, and geography. Based on packaging type, the market is classified into GPU chip, neuromorphic chip, flash-based memory chip, and FPGA chip.
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