Cloud Natural Language Processing Market Growth Forecast & Competitive Analysis: 3M, Apple, Amazon Web Services, Convergys, Facebook, Fuji Xerox, Google, HP, IBM, Microsoft, Nuance Communications, SAP, SAS, Verint Systems

Cloud natural language processing market outlook is likely to witness a dynamic transformation, given the contribution of big data and IoT toward deriving powerful insights to ensure quicker decision-making in the fields of marketing, product management, competitive intelligence, etc. The robustly growing demand for content localization would also massively fuel the requirement of NLP services, thereby augmenting the revenue graph of cloud natural language processing indusrty.

One of the most noteworthy instances that affirms the participation of tech giants in cloud NLP industry is the plethora of services that Amazon Web Services has announced to provide this year. Reportedly, the retail behemoth that holds a fair proportion of cloud natural language processing market share, has launched a wide-ranging series spanning 22 all-new services that comprise everything - right from data storage to analysis, and machine learning to convenient cloud transition.

Get sample copy of this research report @ https://www.decresearch.com/request-sample/detail/2202

A glimpse of the competitive landscape of cloud natural language processing market:
The competitive spectrum of cloud natural language processing market is indeed enviable, as it encompasses a group of some of the highly established tech shots that have the resources and the zeal to further unearth the application scope of top-grade technologies. As the cloud paves its way amidst practically every end-use domain, companies in cloud natural language processing industry undoubtedly have had to realign their strategies to bring about novel product development. As per reliable estimates, cloud computing industry is likely to cross a massive valuation in the next couple of years. More than 70% of tech CFOs claim that the cloud will have a highly profitable impact on most business verticals, NLP being one of the foremost ones.

Alternatively, global AI industry has been a witness to a plethora of lucrative ventures, the impact of which has been depicted on the revenue potential of cloud Cloud natural language processing market - numerous technology giants, since the last half a decade, have been involved in rather enormous deals riding on the base of strongly developing tech based machine learning, image processing, and translation. For instance, DNNresearch, a deep-learning startup had been purchased by Google in 2013 from the University of Toronto, and enabled Google to bring about an improvisation in its image search features. A leading survey reports that nearly 30 AI startups have been purchased by accomplished players such as Twitter, Facebook, Google, IBM, AOL, Intel, Apple, Yahoo, and Salesforce since 2012 - which has no doubt, had quite some impact on cloud Cloud natural language processing market share. Google, in 2014, also acquired the DeepMind Technologies, while Twitter, in 2016, paid up USD 150 million for Magic Pony, an image-processing start-up based in UK.

The year 2017 also witnessed a slew of M&As and partnerships in cloud NLP industry, that have helped bring about a change in the commercialization scope of this business space. In October, New Tranx, a Beijing-based translation startup secured USD 7.5 million to invest in AI technologies that would contribute eventually toward enhancing machine translation. H-Farm, an Italy-based venture incubator, in June, took over CELI, a language tech service provider for USD 2.69 million, in order to expand CELI's service portfolio inclusive of proprietary chatbots, NLP, semantic search products, and data analytics across the Asian markets. With considerable advancements in the AI and cloud domains, cloud natural language processing market does not stand far distant as far as sales and revenue are concerned.

It is vitally imperative to mention that in the current era of extensive globalization, the necessity for machine translation stands as one of most pivotal driving forces for the growth of cloud Cloud natural language processing market. Renowned giants such as Google, Facebook, and Amazon have been significantly investing in machine learning technologies, which has indeed come a long way from inaccurate output processed by humans to the neural networks of today. In 2016 for instance, Microsoft provided an exhibition of how four computers helped translate Leo Tolstoy's novel - War and Peace, comprising 1,440 pages, from Russian into English. The same year witnessed the Harvard NLP Group declare their OpenNMT project - an open-source software for machine translation that accepts aligned sentences in the source language and translates them to the target language through neural networks, and is equipped with additional features such as entity extraction, document filtering, and language detection.

It is indeed irrefutable that companies partaking in cloud natural language processing market share have spared no expense as far as product innovation and R&D activities are concerned. Given the vast expanse of the cloud sphere, it is overt that companies pour in enormous investments in order to bring forth a plethora of innovative NLP products based on distinguished technologies and deployment modes. As the years roll on, cloud natural language processing market share is forecast to grow at a CAGR of 17% over 2017-2024, driven by the fact that this technology successfully closes the gap between insights and action across numerous businesses and assists in quicker decision-making in marketing and product management.

Make an inquiry for buying this report @ https://www.decresearch.com/request-sample/detail/2202

Contact Us: -
DecResearch.com
Website: - https://www.decresearch.com/
Email: info@decresearch.com

About Us: -
DecResearch.com, powered by GMI, is an online aggregator of information on market research reports. The website provides comprehensive information as well as a detailed 'Table of Contents' for reports being regularly published by GMI. Via this platform, users not only get to answers to their questions about these reports, they also have an additional avenue to talk to the sales and research teams of GMI to learn more about the topics of their interest.

This release was published on openPR.