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Market Leader - Artificial Intelligence Chipsets Market

Artificial intelligence (AI) refers to the theory and development of computer systems capable of performing tasks that usually require human intelligence. AI constitutes various technologies that play a vital role in developing its ecosystem. As AI enables machines to perform activities similar to those performed by human beings, enormous market opportunities have opened up. The AI (chipsets) market is expected to grow at a CAGR of 35.5% between 2018 and 2025, from USD 7.06 Billion in 2018 to USD 59.23 Billion by 2025. Improving computing efficiency of chipsets and reducing hardware cost are supplementing the growth of the AI (chipsets) market.

The AI (chipsets) market is gaining momentum as a result of organic as well as inorganic growth strategies followed by the players operating in this market. Product launch is the most prominent growth strategy adopted by players in this market. Product developments and launches are mainly focused on improving computing power, memory capacity, and consumer experience. Moreover, companies adopted collaborations and strategic partnerships as key growth strategies in the AI (chipsets) market. The key players following these strategies are NVIDIA, IBM, Microsoft, Qualcomm, AWS, Xilinx, Microsoft, and Google, among others.

Intel (US) was an important player in the AI (chipsets) market in 2017. Intel designs and develops key products and technologies that power the cloud and smart, connected world. The company has dominated the market for microprocessors for many years. The company’s dominant market position ensures a large addressable market. Intel’s market position also provides increased scale and related benefits. The established market position provides competitive advantages and allows the company to effectively penetrate the adjacent markets. In the past 2 years, Intel has significantly demonstrated its strong inorganic growth strategy. For instance, in March 2017, Intel announced the acquisition of Mobileye for USD 15.3 billion. The acquisition will couple the best-in-class technologies from both companies, including Intel’s high-performance computing and connectivity expertise and Mobileye’s leading computer vision expertise, to create automated driving solutions from the cloud through the network to the car. In addition to this, in June 2016, Intel acquired Nervana Systems of San Diego, California, US. With this, Intel plans to further penetrate into the AI market using Nervana’s ML algorithms and integrating them with stand-alone accelerators.

NVIDIA is among the key players involved in the development of AI (chipsets) in recent years. It develops GPUs and delivers value to its consumers through PC, mobile, and cloud architectures. The company’s GPU segment consists of GeForce, Quadro, GeForce NOW, Quadro, Tesla, and GRID. The company strongly relies on its organic growth capabilities. In December 2017, NVIDIA introduced TITAN V, the world’s most powerful GPU for PC, driven by the world’s most advanced GPU architecture, NVIDIA Volta. TITAN V excels at computational processing for scientific simulation. Its 21.1-billion transistors deliver 110 teraflops of raw horsepower, 9x that of its predecessor, and extreme energy efficiency.

Related Reports:

Artificial Intelligence Chipsets Market by Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision), Hardware (Processor, Memory, Network), End-User Industry, and Geography - Global Forecast to 2025

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