Cloud Natural Language Processing Market

Cloud Natural Language Processing (NLP) Market 2022 - By Product, By Deployment model, By Technology, By Application, By End-User & Global Region - Market Size, Trends, Opportunity, Forecast 2027

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  • Status : Ongoing
  • Published on: July 2022
  • Report ID: KDMI-7079
  • Available Format: PDF/Excel/DOC


Pandemic disrupted the entire world and affected many industries.

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Natural language processing (NLP) is the subdivision of computer science and artificial intelligence (AI) that gives computers an ability to understand text and spoken words in the same way human beings can. It is an automatic manipulation of natural language, such as speech and text, by software. It combines computational linguistics with machine learning, statistical, and deep learning models. It drives computer programs to translate text from one language to another, summarize large volumes of text rapidly, and respond to spoken commands. For instance, IBM Watson Natural Language Understanding uses deep learning to extract metadata and meaning from unstructured text data.

The rising number of companies are using natural language processing (NLP) applications, such as sentiment analysis, to identify sentiment and opinions online to understand what customers think about their products and services.

Covid Impact Analysis

The COVID-19 epidemic has significantly pushed demand for the Cloud Natural Language Processing (NLP). This is attributed to the proliferation of digital technologies, making digital infrastructure more important than ever before. In addition, ongoing integration of machine learning technologies such as NLP in healthcare settings boosts growth of the market. For instance, to understand the relationship among pre-existing conditions and complications of COVID-19 infection, researchers around the globe are using NLP to examine unstructured electronic health record (EHR) data.

Various countries around the globe have imposed a complete lockdown for more than two months as a result of the COVID-19 epidemic, which has had an impact on most of the industry verticals. However, the impact on the technology sector has been comparatively low. For instance, the manufacturing plants all across the world have been shut down, and automobile sales have plummeted. On the contrary, despite the downturn, the areas such as artificial intelligence, internet service providers (ISPs), and information technology (IT) infrastructure providers have experienced huge demand increase as a result of the shift towards home and remote working.

On the other hand, several companies are launching new natural language processing services in the healthcare domain, further boosting growth of the market. For instance, in December 2020, Google launched Healthcare Natural Language API and AutoML Entity Extraction, two new fully-managed AI tools for Healthcare. Both if these tools can help healthcare professionals in reviewing and analyzing medical documents in a scalable way.

Top Impacting Factors

Various factors such as upsurge in adoption of smart devices along with the increasing adoption of cloud natural language processing technology in healthcare settings drives growth of the market. For instance, in January 2021, Pryon Inc., a an AI company focused on enterprise knowledge management, launched an NLP platform that helps the companies to add no-code AI capabilities as well as deploy NLP projects with the help of smart devices and virtual assistants. IN addition to this, surge in digitisation across the hospitals and healthcare facilities has generated massive amount of data. Hence, these facilities are making significant investments in analytics-driven NLP technologies to gain insight from the valuable data. 

Moreover, increase in demand for cloud-based NLP solutions to reduce overall costs is expected to drive the NLP market growth. However, complexities owing to the usage of code-mixed language while implementing cloud NLP may hamper growth of the market to some extent. 

On the other hand, rise in demand for advanced text analytics coupled with the growing machine-to-machine technology creates lucrative growth opportunities for the market growth.  

Regional Analysis

On the basis region, the Global Cloud Natural Language Processing (NLP) Market is segmented into North America, Asia Pacific, Europe, Latin America and Middle East and Africa. North America accounted for the largest share in the Cloud Natural Language Processing (NLP) Market. This is mainly attributed to the surge in adoption of advanced technologies in countries such as Canada and the U.S. along with the increasing usage of associated services. For instance, as per the study by RichRelevance, the provider of personalized shopping experiences, online shoppers in the United States are more inclined to use Google Assistant than the other platforms. In addition to this, increasing data generation and the growing advances in cloud computing platforms has boosted demand for cloud natural language processing in the region., 

However, the Asia-Pacific is expected to grow at the highest growth rate during the forecast period. Growth of this region is mainly driven by the growing popularity and adoption of cloud computing technology, mainly across China and India. In addition to this growth in purchasing capabilities of people along with the increased usage of voice recognition applications has boosted growth of this region. 

Latest Trends

The increasing scalability among businesses as well as the extensive adoption of advanced technologies, such as cloud-based services, artificial intelligence (AI), and machine learning (ML) have boosted demand for Cloud Natural Language Processing (NLP). In addition, cloud NLP is experiencing growth in healthcare centres, as many healthcare facilities are using this technology to analyse and ingest massive amounts of patient data. 

In addition to this, most of the cloud NLP advances had been focused on English language. However, there is rising trend among the companies such as Google and Facebook who are publishing pre-trained multilingual models, which perform same as the monolingual models. 

Moreover, there is rising demand to automate customer service tasks to help them handle customer enquiries in a faster and effective way. Hence, there is growing trend of integrating the NLP tools with help desk software to automate tedious tasks such as tagging and routing customer support tickets, freeing agents from time-consuming & tedious tasks, and enabling them to focus on higher-value tasks.


Global Cloud Natural Language Processing (NLP) market segmentation is based on the product, deployment model, technology, application, and end-use and region.  Based on the product, the Cloud Natural Language Processing (NLP) market is segmented into rule based, statistical, hybrid. Based on the deployment mode, it is segregated into public, private, and hybrid. According to the technology, the market is divided into recognition, analytics, and operational. As per the applications, it is categorized into information extraction, processing & visualization, machine translation, and question answering. According to the industry bertical, the market is segmented into BFSI, retail & e-commerce, it & telecommunication, defence, government, healthcare, energy & utility. Based on the region, it is segregated into North America, Asia Pacific, Europe, Latin America and Middle East and Africa. 

Key Companies 

The global Cloud Natural Language Processing (NLP) market is consolidated with the presence of major players in the market such as Google, Microsoft, Amazon Web Services, Apple Inc., IBM, HPE, SAP SE, and Nuance Communication, Baidu, Dolbey Systems, Facebook, Netbase Solutions, Fuji Xerox, Lexalytics, SAS, and Verint systems and other players.

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