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Growth Insights Report: GPU as a Service Market CAGR of +30% by 2025: Know about Influencing Factors by Focusing on Top Companies like NVIDIA, AMD, Google, Microsoft, Samsung, Amazon, IBM, Intel, ScaleMatrix, Nimbix, Peer1 Hosting

The GPU as a service market is characterized by R&D for vector processing and parallelism capabilities resulting in new algorithms and graphics design. Moreover, the increasing investments in AI platform and VR by players such as NVIDIA, Google, Intel, and Microsoft will improve the market potential and reliability on their GPU products.
Published 14 August 2018
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The Global Over the GPU as a Service Market to Grow steadily at a CAGR of +30% during the forecast period.

With Artificial Intelligence (AI), Augmented Reality (AR), & Virtual Reality (VR) having metamorphosed every industry vertical, GPU as a Service market is witnessing extensive set of applications across the automotive, gaming, real estate, healthcare, design and manufacturing sectors. GPU as a Service industry’s fortune continues to rise, as multicore processing is proving to be a huge benefit for scaling visual contents, deep learning, natural language processing, speech recognition, and real-time information in the aforementioned applications. However, when it comes to utilizing the GPU technology, the automotive, gaming and manufacturing industries are far ahead of others.

The objective of the report is to gather important market data and offer insights into the trends and opportunities of the global GPU as a Service market to its readers. The report categorizes the market in a detailed manner to offer comprehensive insights into the factors responsible for enhancing as well as confining the market growth. The statistical surveying report on the global market also inspects the indicators in the market that are vital to represent the revenue forecast of the market over the given forecast period

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Top Companies Profiled in this Report includes, NVIDIA, AMD, Google, Microsoft, Samsung, Amazon, IBM, Intel, ScaleMatrix, Nimbix, Peer1 Hosting, Penguin Computing and among others.

GPU as a service is gaining momentum due to increase in the number of applications and use cases on hardware, that includes deep learning, speech recognition, natural language processing, data mining, and real-time information. Moreover, these applications are going to benefit from scaling to multi-GPU servers and then to GPU server clusters with network interconnects.

The manufacturing cost structure analysis provided by this report offers details about the industry chain structure, manufacturing process analysis, manufacturing cost structure analysis, and raw materials required; and provides descriptions about the prominent suppliers of the raw materials.

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Also, regional data of the key geographic segments with respect to GPU as a Service market is explained in detail for the readers. This gives an idea about which region is leading in this particular market helping make a better future investment plan. Further, the upcoming challenges, ongoing trends, strengths, and weaknesses are meticulously researched and discussed.

Moreover, aspects that affect the growth of the market, have been cleared out in the best possible manner to understand precisely this market. Each year in the forecast period is examined for better precise data with respect to every aspect affecting the market. This report is done on the competitive landscape of the global GPU as a Service market has been given, presenting insights into the recent developments, mergers & acquisitions, company profiles, financial status, product portfolio, and the SWOT analysis. 

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Table of Contents

Global GPU as a Service Market Research Report 2018

Chapter 1         GPU as a Service Market Overview   
Chapter 2        Global Economic Impact on Industry   
Chapter 3        Global Market Competition by Manufacturers 
Chapter 4        Global Production, Revenue (Value) by Region
Chapter 5        Global Supply (Production), Consumption, Export, Import by Regions 
Chapter 6        Global Production, Revenue (Value), Price Trend by Type   
Chapter 7        Global Market Analysis by Application   
Chapter 8        Manufacturing Cost Analysis   
Chapter 9        Industrial Chain, Sourcing Strategy and Downstream Buyers   
Chapter 10      Marketing Strategy Analysis, Distributors/Traders 
Chapter 11       Market Effect Factors Analysis   
Chapter 12       Global GPU as a Service Market Forecast

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