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Phase-Xs | Biologics & Biosimilars | Coherent Market Insights

Natural language processing is a branch of artificial intelligence, which is developed to make machine understand words or statements written and spoken in human language.The increasing adoption of natural language processing by various organization helps reduce customer effort, improve organization's analytical capabilities, and enable automation. Virtual assistants enable customers to communicate with organizations through online chat box in vernacular language and improve customer experience. In addition to this, NPL helps organizations to enhance their analytical capabilities. The increasing demand for text analytics in various organizations, rising demand for machine learning process, and increasing social media monitoring are some of the key driving factors leading to growth of the natural language processing market.

The global natural language processing (NLP) market is expected to witness significant growth during the forecast period (2021–2028) due to rising need for enhanced customer services. Enterprises are focusing on enhancing their business processes and continuously looking forward to improve customer experience. Therefore use of AI (Artificial intelligence) and Natural Language Processing (NLP) will help in analyzing the client's query, comments, and provide response accordingly. With the use of advanced technologies such as Artificial intelligence, seamless communication can be established between the client and the system. The communication is saved in the system for future references. The integration of AI and NLP can make suggestions based on the available customer data, history of information, and from the instant responses send by the client. The advanced technologies integrated in the system will provide customized or unique solution to solve the customer queries. Moreover, in the healthcare sector, integrating NLP platform has made it possible for physicians to dedicate maximum time to their patients and provide undivided attention to patients. Several physicians prefer voice notes instead of typed ones or handwritten.

Therefore, NLP platform can be use to easily interpret the speech and update records accurately. Furthermore, NLP platform is used to extract and interpret clinical note, which helps physician to better understand patient’s health profile and diagnostic results and provide suitable treatment. The changing regulatory guidelines and shifts of healthcare industry to patient-centric approach such as catering individual needs, getting feedback from patients and their loved ones and providing other health solution centered around the patient, has given rise to patient involvement in the care delivery. Patient portals can help patients to maintain track of their health record. This portal has limitation to explain and educate patients without manual involvement of physician and thus, NLP can aid patients to maintain Electronic Health Records (EHR). In the e-commerce sector, Natural Language Processing (NLP) is used for improving customer experience with better customer query handling and providing high level of personalization. Therefore, the growing adoption of the natural language processing across different industries such as e-commerce, healthcare, and customer care centers is driving the overall natural language processing market growth.

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Natural Language Processing (NLP) Market Report Coverage

Report Coverage Details
Base Year: 2019 Market Size in 2020: US$ 11,500.0 Mn
Historical Data for: 2017 to 2019 Forecast Period: 2021 to 2028
Forecast Period 2021 to 2028 CAGR: 20.4% 2028 Value Projection: US$ 49,023.2 Mn
Geographies covered:
  • North America: U.S. and Canada
  • Latin America: Brazil, Argentina, Mexico, and Rest of Latin America
  • Europe: Germany, U.K., Spain, France, Italy, Russia, and Rest of Europe
  • Asia Pacific: China, India, Japan, Australia, South Korea, ASEAN, and Rest of Asia Pacific
  • Middle East and Africa: GCC Countries, South Africa, and Rest of Middle East and Africa
Segments covered:
  • By Component: Platform/Solution and Services
  • By Application: Machine Translation, Information Extraction, Report Generation And Predictive Risk Analytics
  • By Industry: Automotive, BFSI, Government, Healthcare, Media and Entertainment Retail &  E-commerce and Others
  • By Deployment: On-premise and Cloud
Companies covered:

IBM Corporation, Microsoft Corporation, Dolbey Systems, Inc., Google LLC, Apple Inc., IQVIA Holdings Inc., Inovalon, 3M, Hewlett-Packard Enterprise Company, SAS Institute Inc., NetBase Quid

Growth Drivers:
  • Rising need for enhanced customer services 
  • Emerging data operations and increasing usage of smart devices
  • Rising emphasis on clinical documentation improvement (CDI) by health organizations
Restraints & Challenges:
  • Interoperability And Vocabulary Issues While Deploying NLP Algorithms And Regulatory Hurdles

Global Natural Language Processing (NLP) Market - Impact of Coronavirus (Covid-19) Pandemic

Natural language processing (NLP) is a process by which computers understand and interact with the user. The technology like Google Search, Alexa, Siri, or Google Assistant operates on NLP process. Software developers are constantly focusing on incorporating NLP in many applications such as speech recognition, machine translation, sentiment analysis, market intelligence, chatbots, spell checking, and text classification. There is rapid increase in adoption of NLP services due to the ability of natural language processing (NLP) to organize data at the time of addressing the feedbacks and queries from customers with the help of chatbots. The process of collection, organizing, and providing solution of data has helped many companies to understand and serve their customers in a better way during the COVID-19 crisis. The rapid outbreak of COVID-19 has significantly affected all the industries globally. The situation caused significant deterioration in economic conditions and governments had to shut down commercial as well as educational sectors for a specific period. To combat COVID-19 pandemic, most of the countries implemented lockdown, and are now easing it phase-wise and industry wise. Due to the unexpected outbreak of COVID-19, different industries faced various issues such as loss of business and drop in revenue generation due to the sudden shutdown guidelines put by the government bodies. All the companies across the world had to WFH (work from home) triggering complete dependency on software-based solutions and services. This has rapidly increased the adoption of NLP services during the lockdown.

North America held dominant position in the global natural language processing (NLP) market during the forecast period

Statistics:

North America held dominant position in the global natural language processing (NLP) market in 2020, accounting for 39.6% share in terms of value, followed by Europe, Asia-Pacific and Rest of the World.

Figure 1: Global Natural Language Processing (NLP) Market Share (%), By Region, 2020

Natural Language Processing (NLP)  | Coherent Market Insights

North America is expected to account for the largest market share during the forecast period. The natural language processing (NLP) market has witnessed significant growth in the North America region. The increasing number of new product launches is expected to further increase the demand of NLP products and services in North America region. For instance, in March 2019, Inference Solutions, a U.S.-based intelligent virtual agents for sales and service providing company, launched Studio 6.0, which integrates NLP and conversational artificial intelligence (AI) technologies from Google and IBM to help businesses eliminate complex interactive voice response (IVR) menus, and simple speech-enabled, directed dialogue systems.

 Asia Pacific region is expected to exhibit highest growth during the forecast period, Asia Pacific is expected to hold a prominent position in the global natural language processing (NLP) market over the forecast period, owing to increasing new launches of NLP platforms. For instance, in July 2018, e-Aksharayan, an optical character recognition (OCR) engine for seven Indian languages, was launched in India. The tool converts printed document images to editable text with up to 90-95% recognition accuracy. In August 2020, Baidu, Inc., a China-based technology company, launched worlds largest Chinese natural language processing (NLP) database known as Qian Yan – or “thousand words”.

Predictive Risk Analytics segment is expected to drive the market growth during the forecast period

Among application, the predictive risk analytics segment is expected to hold dominant position in the global natural language processing (NLP) market during the forecast period. Predictive risk analytics in the healthcare industry is an integrated program of artificial intelligence and natural language processing (NLP), which helps to predict health and related risks in patients. The predictive analytics segment is expected to witness growth during the forecast period, owing to the increasing application of predictive risk analytics such as predicting risk scores for healthcare insurers, preventing hospital readmissions, and clinical variation management. In January 2017, IBM Watson Health partnered with Illumina, Inc. to simplify and standardize genomic data interpretation. The partnership is expected to combine IBM Watson Health’s Watson for Genomics software with Illumina’s tumor sequencing and BaseSpace sequencing Hub.

Figure 2: Global Natural Language Processing (NLP) Market Value (US$ Bn) Analysis and Forecast and Y-o-Y Growth (%), 2017 - 2028

Natural Language Processing (NLP)  | Coherent Market Insights

The global natural language processing (NLP) market was valued at US$ 11,500.0 Mn in 2020 and is expected to reach US$ 49,023.2 Mn by 2028 at a CAGR of 20.4% between 2021 and 2028.

Major players operating in the global natural language processing (NLP) market include IBM Corporation, Microsoft Corporation, Dolbey Systems, Inc., Google LLC, Apple Inc., IQVIA Holdings Inc., Inovalon, 3M, Hewlett-Packard Enterprise Company, SAS Institute Inc., NetBase Quid

Natural language processing (NLP) is a process by which computers understand and interact with the user. The technology like Google Search, Alexa, Siri, or Google Assistant operates on NLP process. Software developers are constantly focusing on incorporating NLP in many applications such as speech recognition, machine translation, sentiment analysis, market intelligence, chatbots, spell checking, and text classification. There is rapid increase in adoption of NLP services due to the ability of natural language processing (NLP) to organize data at the time of addressing the feedbacks and queries from customers with the help of chatbots.

Market Dynamics

Rising emphasis on clinical documentation improvement (CDI) by health organizations is driving the market growth during the forecast period. Health organizations are emphasizing on clinical documentation improvement in order to run their operations effectively and efficiently. Health systems across administrative, financial, operational and clinical delivery tasks, are increasingly using NLP to maintain proper record of medicines, patient profile including past medical history and other information. For instance, compliance and regulations such as health care access, portability, and renewability clauses have been developed in the Health Insurance Portability and Accountability Act (HIPAA), in order to protect the security and privacy of patients and customers, and these mandates a standard format for transactions among health organization to simplify administrative processes. The implementation of clinical documentation helps organizations eliminate incidental errors, financial losses, and improve patient care. Also, the adoption of clinical documentation helps enhance patient engagement and enable better patient outcomes.

Moreover, natural language processing (NLP) enables the processing of text directly with computer applications, which helps healthcare organizations enhance the value of patient information in clinical data and reduces the cost by eliminating the conventional clinical documentation process. It also allows healthcare professionals to cope with the clinical narratives, which is a form of clinical communication technique that helps enhance the overall performance of healthcare processes. The impact of this driver is expected to remain high throughout the forecast period, primarily due to rising emphasis on healthcare process enhancement and automation.

Key features of the study:

  • This report provides in-depth analysis of the global natural language processing (NLP) market size (US$ Million) and compound annual growth rate (CAGR %) for the forecast period (2021– 2028), considering 2020 as the base year
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategies adopted by the leading  market players
  • It profiles leading players in the global natural language processing (NLP) market based on the following parameters – company overview, financial performance, product portfolio, geographical presence, market capital, key developments, strategies, and future plans
  • Companies covered as a part of this study include IBM Corporation, Microsoft Corporation, Dolbey Systems, Inc., Google LLC, Apple Inc., IQVIA Holdings Inc., Inovalon, 3M, Hewlett-Packard Enterprise Company, SAS Institute Inc., NetBase Quid
  • Insights from this report would allow marketers and management authorities of companies to make informed decisions regarding future product launches, product upgrades, market expansion, and marketing tactics
  • The global natural language processing (NLP) market report caters to various stakeholders in this industry including investors, suppliers, managed service providers, third-party service providers, distributors, new entrants, and value-added resellers
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global natural language processing (NLP) market

Detailed Segmentation

  • Global Natural Language Processing (NLP) Market, By Component:
    • Platform/Solution
    • Services
  • Global Natural Language Processing (NLP) Market, By Application:
    • Machine Translation
    •  Information Extraction
    •  Report Generation
    • Predictive Risk Analytics
  • Global Natural Language Processing (NLP) Market, By Industry:
    • Automotive
    • BFSI
    • Government
    • Healthcare
    • Media and Entertainment
    • Retail &  E-commerce
    • Others
  • Global Natural Language Processing (NLP) Market, By Deployment Type:
    • On-premise
    • Cloud
  • Global Natural Language Processing (NLP) Market, By Region:
    • North America
      • By Component:
        • Platform/Solution
        • Services
      • By Application:
        • Machine Translation
        • Information Extraction
        • Report Generation
        • And Predictive Risk Analytics
      • By Industry:
        • Automotive
        • BFSI
        • Government
        • Healthcare
        • Media and Entertainment
        • Retail & E-commerce
        • Others
      • By Deployment Type:
        • On-premise
        • Cloud
      • By Country:
        • U.S.
        • Canada
    • Europe
      • By Component:
      • By Component:
        • Platform/Solution
        • Services
      • By Application:
        • Machine Translation
        • Information Extraction
        • Report Generation
        • And Predictive Risk Analytics
      • By Industry:
        • Automotive
        • BFSI
        • Government
        • Healthcare
        • Media and Entertainment
        • Retail & E-commerce
        • Others
      • By Deployment Type:
        • On-premise
        • Cloud
      • By Country:
        • Germany
        • U.K.
        • France
        • Italy
        • Spain
        • Russia
        • Rest of Europe
    • Asia Pacific
      • By Component:
        • Platform/Solution
        • Services
      • By Application:
        • Machine Translation
        • Information Extraction
        • Report Generation
        • And Predictive Risk Analytics
      • By Industry:
        • Automotive
        • BFSI
        • Government
        • Healthcare
        • Media and Entertainment
        • Retail & E-commerce
        • Others
      • By Deployment Type:
        • On-premise
        • Cloud
      • By Country:
        • China
        • India
        • Japan
        • Australia
        • South Korea
        • ASEAN
        • Rest of Asia Pacific
    • Latin America
      • By Component:
        • Platform/Solution
        • Services
      • By Application:
        • Machine Translation
        • Information Extraction
        • Report Generation
        • And Predictive Risk Analytics
      • By Industry:
        • Automotive
        • BFSI
        • Government
        • Healthcare
        • Media and Entertainment
        • Retail & E-commerce
        • Others
      • By Deployment Type:
        • On-premise
        • Cloud
      • By Country:
        • Brazil
        • Mexico
        • Argentina
        • Rest of Latin America
    • Middle East and Africa
      • By Component:
        • Platform/Solution
        • Services
      • By Application:
        • Machine Translation
        • Information Extraction
        • Report Generation
        • And Predictive Risk Analytics
      • By Industry:
        • Automotive
        • BFSI
        • Government
        • Healthcare
        • Media and Entertainment
        • Retail & E-commerce
        • Others
      • By Deployment Type:
        • On-premise
        • Cloud
      • By Country/Region:
        • GCC Countries
        • South Africa
        • Rest of Middle East and Africa
  • Company Profiles
    • IBM Corporation*
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/ Updates
    • Microsoft Corporation
    • Dolbey Systems, Inc.
    • Google LLC, Apple Inc.
    • IQVIA Holdings Inc.
    • Inovalon
    • 3M
    • Hewlett-Packard Enterprise Company
    • SAS Institute Inc.
    • NetBase Quid

 “*” marked represents similar segmentation in other categories in the respective section.

Table of Contents

  1. Research Objectives and Assumptions
    • Research Objectives
    • Assumptions
    • Abbreviations
  2. Market Purview
    • Report Description
      • Market Definition and Scope
    • Executive Summary
      • Market Snippet, By Component
      • Market Snippet, By Application
      • Market Snippet, By Industry
      • Market Snippet, By Deployment Type
      • Market Snippet, By Region
    • Coherent Opportunity Map (COM)
  3. Market Dynamics, Regulations, and Trends Analysis
    • Market Dynamics
      • Drivers
      • Restraints
      • Market Opportunities
      • Regulatory Scenario
      • Industry Trend
      • Merger and Acquisitions
      • New system Launch/Approvals
      • Value Chain Analysis
      • Porter’s Analysis
      • PEST Analysis
    • Impact of COVID-19
  4. Global Natural Language Processing (NLP) Market, By Component, 2021-2028 (US$ Million)
    • Introduction
      • Market Share Analysis, 2020 and 2028 (%)
      • Segment Trends
    • Platform/Solution
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
    • Services
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
  5. Global Natural Language Processing (NLP) Market, By Application, 2021-2028 (US$ Million)
    • Introduction
      • Market Share Analysis, 2020 and 2028 (%)
      • Segment Trends
    • Machine Translation
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
    •  Information Extraction
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
    • Report Generation
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
    • Predictive Risk Analytics
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
  6. Global Natural Language Processing (NLP) Market, By End User, 2021-2028 (US$ Million)
    • Introduction
      • Market Share Analysis, 2020 and 2028 (%)
      • Segment Trends
    • Automotive
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
    • BFSI
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
    • Government
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
    • Healthcare
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
    • Media & Entertainment
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
    • Others
      • Introduction
      • Market Size and Forecast, 2021-2028, (US$ Million)
  7. Global Natural Language Processing (NLP) Market, By Region, 2021-2028 (US$ Million)
    • Introduction
      • Market Share Analysis, By Region, 2020 and 2028 (%)
    • North America
      • Regional Trends
      • Market Size and Forecast, By Component, 2021-2028(US$ Million)
      • Market Size and Forecast, By Application, 2021-2028(US$ Million)
      • Market Size and Forecast, By Industry, 2021-2028(US$ Million)
      • Market Size and Forecast, By Deployment Type, 2021-2028(US$ Million)
      • Market Share Analysis, By Country, 2020 and 2028 (%)
        • U.S.
        • Canada
    • Europe
      • Regional Trends
      • Market Size and Forecast, By Component, 2021-2028(US$ Million)
      • Market Size and Forecast, By Application, 2021-2028(US$ Million)
      • Market Size and Forecast, By Industry, 2021-2028(US$ Million)
      • Market Size and Forecast, By Deployment Type, 2021-2028(US$ Million)
      • Market Share Analysis, By Country, 2020 and 2028 (%)
        • U.K.
        • Germany
        • Spain
        • Italy
        • France
        • Russia
        • Rest of Europe
    • Asia Pacific
      • Regional Trends
      • Market Size and Forecast, By Component, 2021-2028(US$ Million)
      • Market Size and Forecast, By Application, 2021-2028(US$ Million)
      • Market Size and Forecast, By Industry, 2021-2028(US$ Million)
      • Market Size and Forecast, By Deployment Type, 2021-2028(US$ Million)
      • Market Share Analysis, By Country, 2020 and 2028 (%)
        • China
        • India
        • Japan
        • ASEAN
        • Australia
        • South Korea
        • Rest of Asia Pacific
    • Latin America
      • Regional Trends
      • Market Size and Forecast, By Component, 2021-2028(US$ Million)
      • Million)
      • Market Size and Forecast, By Application, 2021-2028(US$ Million)
      • Market Size and Forecast, By End User, 2021-2028(US$ Million)
      • Market Share Analysis, By Country, 2020 and 2028 (%)
        • Brazil
        • Argentina
        • Mexico
        • Rest of Latin America
    • Middle East and Africa
      • Regional Trends
      • Market Size and Forecast, By Component, 2021-2028(US$ Million)
      • Market Size and Forecast, By Application, 2021-2028(US$ Million)
      • Market Size and Forecast, By Industry, 2021-2028(US$ Million)
      • Market Size and Forecast, By Deployment Type, 2021-2028(US$ Million)
      • Market Share Analysis, By Country/Region, 2020 and 2028 (%)
        • South Africa
        • GCC Countries
        • Rest of the Middle East and Africa
  8. Competitive Landscape
    • Company Profiles
      • IBM Corporation
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Microsoft Corporation
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Dolbey Systems, Inc.
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Google LLC, Apple Inc.
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • IQVIA Holdings Inc.
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Inovalon
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • 3M
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Hewlett-Packard Enterprise Company
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • SAS Institute Inc.
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • NetBase Quid
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
    • Analyst Views
  9. Section
    • References
    • Research Methodology
    • About us and Sales Contact

*Browse 60 market data tables and 40 figures on "Natural Language Processing (NLP) Market - Global forecast to 2028”.

Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.


Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.

Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users

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