Natural Language Processing Market

Natural Language Processing Market by Component, Type (Statistical, Hybrid), Application (Automatic Summarization, Sentiment Analysis, Risk & Threat Detection), Deployment Mode, Organization Size, Vertical, and Region - Global Forecast to 2026

Report Code: TC 3492 Feb, 2021, by marketsandmarkets.com

[271 Pages Report] The global Natural Language Processing (NLP) market size to grow from USD  11.6 billion in 2020 to USD 35.1 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 20.3% during the forecast period. Growing demand for cloud-based NLP solutions to reduce overall costs and better scalability and increasing usage of smart devices to facilitate smart enviroments are expected to drive the NLP market growth. The rise in the adoption of NLP-based applications across verticals to enhance customer experience and increase in investments in the healthcare vertical is expected to offer opportunities for NLP vendors.

Natural Language Processing Market

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COVID-19 Impact on Global NLP Market

The NLP market is expected to witness a slowdown in 2020 due to the global lockdown. The COVID-19 pandemic has increased the churn rate and shuddered almost every vertical. The lockdown is impacting global manufacturing, and supply chain and logistics as the continuity of operations for various verticals is getting badly impacted. The verticals facing the greatest drawbacks are manufacturing, transportation and logistics, and retail and consumer goods. The availability of essential items is impacted due to the lack of manpower to work on production lines, supply chains, and transportation, although the essential items are exempted from the lockdown. The condition is expected to come under control by early 2021, while the demand for NLP solutions and services is expected to increase due to the increased demand for enhancing customer experiences and building personalized relationships with prospects. Several verticals are already planning to deploy a diverse array of NLP solutions and services for enabling digital transformation initiatives, which address mission-critical processes, improve operations, and differentiate customer viewing experiences. The reduction in operational costs, better customer experiences, and improved customer churn rate, enhanced visibility into processes and operations, and improved real-time decision-making are key business and operational priorities expected to drive the adoption of NLP.

Market Dynamics

Driver: Increasing usage of smart devices to facilitate smart environments

With the advancement in IoT and communication technologies, it has become possible to set up communication between various devices. Such a concept has grown to facilitate a smart home environment and connected vehicles. Technological advancement and digital transformation have changed the way industries perform their operations and communicate with their customers. NLP has proven extremely beneficial in facilitating interactions between users and systems or machines. The smart device can be a mobile phone, an industrial device installed in a plant, or a device operating home/building environment. The rising demand for voice-based solutions interfaces with NLP-based applications offers users enhanced functionalities, such as the verbal command capability with instant query management. . The smart home consists of numerous smart devices, such as thermostats, lights, security and monitoring devices, and climate control devices. Consumers prefer voice mode to give commands to such smart devices.

Restraint: Complexities due to the usage of code-mixed language while implementing NLP solutions

Code-switching or Code-Mixed (CM) language is the alternation of languages within a conversation or utterance and is a common communicative phenomenon that occurs in multilingual communities across the world. Traditionally, CM language has been associated with informal or casual speech. There is evidence that in several societies, such as urban India and Mexico, CM language has become the default code of communication. It has also pervaded written text, especially in computer-mediated communication and social media. NLP tasks, such as normalization, language identification, language modeling, part-of-speech tagging, and dependency parsing, machine translation, and Automatic Speech Recognition (ASR), face issues while working on non-canonical multilingual data in which two or more languages are mixed. The characteristics of mixed data affect tasks in different ways, sometimes by changing the definition (for example, in language identification, the shift from document-level to word-level), and sometimes by creating new lexical and syntactic structures (for example, mixed words that consist of morphemes from two different languages).

Opportunity: Increase in investments in the healthcare vertical

The healthcare industry is generating a huge amount of data nowadays, with an increased pace of digitalization among hospitals and other healthcare premises. Healthcare organizations are betting high on such enormous useful data with the analytics-driven approach. However, such organizations are finding it difficult without sophisticated systems as it is challenging to analyze the text data. However, NLP has appeared as an important technology to extract meaningful insights from such a large volume of data. The consequent demand for effective data management and advanced data analytics has also seen a significant rise in the healthcare industry over the last ten years. Moreover, it is expected that there will be a huge scope of opportunities for NLP technologies in the healthcare industry in the next five years. Personal Health Records (PHRs) are becoming widely accepted, and new initiatives have been taken to make it easier to download and share medical records with different medical and insurance providers. It is expected that this market will further flourish with the growing trend of superior data management and analytics mobile apps. NLP has enabled predictive analytics and helped minimize population health concerns. Moreover, the adoption of NLP in healthcare is rising because of its recognized potential to search, analyze, and interpret massive amounts of patient datasets. By means of advanced medical algorithms, ML, along with NLP technology, has the potential to harness relevant insights from data that was previously hidden in text form. In the current COVID-19 pandemic situation, organizations are using NLP to access the landscape of scientific papers relevant to the coronavirus pandemic.

Challenge: Interoperability and reliability issues while deploying NLP algorithms

AI is implemented through ML using a computer to run specific software that can be trained. ML can help systems process data with the help of algorithms and identify certain features from that dataset. NLP enables computers to understand human language; however, it works on the algorithms designed for specific tasks. There are a lot of system connectivity issues, such as interoperability, inaccessibility, and non-contextual answers. . In July 2017, researchers at the Facebook AI Research (FAIR) lab found that chatbots had deviated from the script and were communicating in a language created by themselves that humans could not understand. Moreover, there are few tasks that can be only performed by humans and not machines and vice versa. For instance, the proliferation of smartphones and social media has introduced a new level of derived languages, which can either be used as jargon or shorten a sentence. NLP techniques would not be able to identify these texts that are grammatically incorrect. Hence, this kind of gap between humans and machines can be considered a challenge in the market. To apply NLP techniques appropriately, a computer system must be able to understand the input in various languages, and similarly, the machine must be able to analyze and assimilate the extended communication.

Among verticals, the healthcare and life sciences segment to grow at the highest CAGR during the forecast period

The NLP market is segmented into the various verticals, particularly BFSI, IT and telecom, retail and ecommerce, healthcare and life sciences, transportation and logistics , government and public sector, energy and utilities, manufacturing, others (education, travel and hospitality, and media and entertainment). The healthcare and life sciences vertical is expected to grow at the highest CAGR during the forecast period. The vertical’s high growth rate can be attributed to the increasing healthcare complexities and growing need for advanced NLP-driven EHRs to extract meaningful insights from unstructured clinical data. To address the COVID-19 impact on the BFSI vertical, the adoption of digital technologies such as video banking facilities, AI-supported tools, and conversational platforms has become essential.

North America to hold the largest market size during the forecast period

The NLP market has been segmented into five regions: North America, Europe, APAC, MEA, and Latin America. Among these regions, North America is projected to hold the largest market size during the forecast period. Improvements in cloud computing platforms, which are now more efficient, affordable, and capable of processing complex information, have led to the growth of inexpensive software development tools and plentiful datasets, which play a vital role in the development of AI technology in the US market. APAC is expected to grow at the highest CAGR during the forecast period on account of the rising awareness and increasing AI investments.

Natural Language Processing Market by Region

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Key Market Players

The NLP vendors have implemented various types of organic as well as inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global NLP market include IBM (US), Microsoft (US), Google (US), AWS (US), Facebook (US), Apple (US), 3M (US), Intel (US), SAS Institute (US), Baidu (China), Inbenta (US), Veritone (US), Dolbey (US), Narrative Science (US), Bitext (Spain), Health Fidelity (US), Linguamatics (UK), Conversica (US), SparkCognition (US), Automated Insights (US), Gnani.ai (India), Niki (India), Mihup (India), Observe.AI (US), Hyro (US), Just AI (England), RaGaVeRa (India). The study includes an in-depth competitive analysis of these key players in the NLP market with their company profiles, recent developments, and key market strategies.

Scope of the Report

Report Metric

Details

Market size available for years

2015–2026

Base year considered

2019

Forecast period

2020–2026

Forecast units

 USD Million

Segments covered

Component, type, application, deployment mode, organization size, vertical, and region

Geographies covered

North America, Europe, APAC, Latin America, and MEA

Companies covered

IBM (US), Microsoft (US), Google (US), AWS (US), Facebook (US), Apple (US), 3M (US), Intel (US), SAS Institute (US), Baidu (China), Inbenta (US), Veritone (US), Dolbey (US), Narrative Science (US), Bitext (Spain), Health Fidelity (US), Linguamatics (UK), Conversica (US), SparkCognition (US), Automated Insights (US), Gnani.ai (India), Niki (India), Mihup (India), Observe.AI (US), Hyro (US), Just AI (England), RaGaVeRa (India)

This research report categorizes the NLP market based on component, type, application, deployment mode, organization size, vertical, and region.

By component:

  • Solutions
    • Platform
    • Software tools
  • Services
    • Professional Services
      • Consulting
      • System Integration and  Implementation
      • Support and Maintenance
    • Managed Services

By deployment mode:

  • On-premises
  • Cloud
    • Public Cloud
    • Private Cloud
    • Hybrid Cloud

By organization size:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By type:

  • Rule-based
  • Statistical
  • Hybrid

By application:

  • Sentiment Analysis
  • Data Extraction
  • Risk and Threat Detection
  • Automatic Summarization
  • Content Management
  • Language Scoring
  • Others (Portfolio Monitoring, HR and Recruiting, and Branding and Advertising).

By vertical:

  • BFSI, IT and Telecom,
  • Retail and Ecommerce
  • Healthcare and Life Sciences
  • Transportation and Logistics
  • Government and Public Sector
  • Energy and Utilities
  • Manufacturing
  • Others ( Education, Travel and Hospitality, and Media and Entertainment).

By region:

  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe 
  • APAC
    • China
    • India
    • Japan
    • Rest of APAC
  • MEA
    • KSA 
    • UAE
    • South Africa
    • Rest of MEA
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In June 2020,IBM launched Watson Works to address the challenges of returning to workplaces. Watson Works would address the challenges, such as managing facilities and optimizing space allocation by using real-time data, prioritizing employee health by enabling employers to make evidence-based decisions, and maximizing the effectiveness of contact tracing by providing organizations with care agents and contact tracers.
  • In June 2020, Microsoft partnered with Adaptive Biotechnologies to launch the ImmuneCODE database to share a population-wide immune response of the COVID-19 virus.
  • In April 2020, AWS expanded its business in Italy. With this expansion, AWS now spans 76 Availability Zones in 24 geographic regions around the world and announced plans for nine more Availability Zones and three more AWS Regions in Indonesia, Japan, and Spain.
  • In June 2019, Intel and Baidu collaborated on Neural Network Processor for training and optimizing the hardware based on 2nd generation Intel Xeon Scalable processors to speed up performance for workloads incorporating NLP, visual applications, speech synthesis, and other scenarios.
  • In April 2019, AWS enhanced AI services for NLP, speech-to-text transcription, and image detection. AWS added new features to its AI services, such as Amazon Comprehend. The new features allow users to process texts in the encrypted format as well.   
  • In February 2019, Microsoft announced the general availability of the Microsoft Healthcare Bot in the Azure Marketplace. The Microsoft Healthcare Bot is a cloud service that powers conversational AI for healthcare-related processes.
  • In October 2018, Inbenta collaborated with Alphanumeric Systems to provide flexibility and adaptability to the customer in any environment by integrating and building upon its AI software into the products and services provided by the consultancy.

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 25)
    1.1 INTRODUCTION TO COVID-19
    1.2 COVID-19 HEALTH ASSESSMENT
        FIGURE 1 COVID-19: GLOBAL PROPAGAT ION
        FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
    1.3 COVID-19 ECONOMIC ASSESSMENT
        FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
           1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
                 FIGURE 4 FACTORS IMPACTING GLOBAL ECONOMY
                 FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF GLOBAL ECONOMY
    1.4 OBJECTIVES OF THE STUDY
    1.5 MARKET DEFINITION
           1.5.1 INCLUSIONS AND EXCLUSIONS
    1.6 MARKET SCOPE
           1.6.1 MARKET SEGMENTATION
           1.6.2 REGIONS COVERED
           1.6.3 YEARS CONSIDERED FOR THE STUDY
    1.7 CURRENCY CONSIDERED
        TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2017–2019
    1.8 STAKEHOLDERS
    1.9 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY (Page No. - 35)
    2.1 RESEARCH DATA
        FIGURE 6 NATURAL LANGUAGE PROCESSING MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                 TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key industry insights
    2.2 MARKET BREAKUP AND DATA TRIANGULATION
        FIGURE 7 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION
        FIGURE 8 NLP MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                 FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY ̶ APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF NATURAL LANGUAGE PROCESSING MARKET
                 FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY ̶ APPROACH 2– BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF NLP MARKET
                 FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 3—BOTTOM-UP (DEMAND SIDE): SHARE OF NATURAL LANGUAGE PROCESSING THROUGH OVERALL NATURAL LANGUAGE PROCESSING SPENDING
    2.4 MARKET FORECAST
        TABLE 3 FACTOR ANALYSIS
    2.5 COMPANY EVALUATION MATRIX METHODOLOGY
        FIGURE 12 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
        FIGURE 13 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
    2.7 ASSUMPTIONS FOR THE STUDY
    2.8 LIMITATIONS OF THE STUDY
    2.9 IMPLICATIONS OF COVID-19 ON NATURAL LANGUAGE PROCESSING MARKET

3 EXECUTIVE SUMMARY (Page No. - 51)
  TABLE 4 GLOBAL MARKET SIZE AND GROWTH RATE,  2015–2019 (USD MILLION, Y-O-Y %)
  TABLE 5 GLOBAL NLP MARKET SIZE AND GROWTH RATE,  2019–2026 (USD MILLION, Y-O-Y %)
  FIGURE 14 SOLUTIONS SEGMENT TO HOLD LARGER MARKET SIZE IN 2020
  FIGURE 15 SOFTWARE TOOLS SEGMENT TO HOLD HIGHER MARKET SHARE IN 2020
  FIGURE 16 PROFESSIONAL SERVICES SEGMENT TO HOLD LARGER MARKET SIZE IN 2020
  FIGURE 17 SYSTEM INTEGRATION AND IMPLEMENTATION SEGMENT TO HOLD HIGHEST MARKET SHARE IN 2020
  FIGURE 18 STATISTICAL SEGMENT TO HOLD LARGEST MARKET SIZE IN 2020
  FIGURE 19 AUTOMATIC SUMMARIZATION SEGMENT TO HOLD HIGHEST MARKET  SHARE IN 2020
  FIGURE 20 CLOUD SEGMENT TO HOLD HIGHER MARKET SHARE IN 2020
  FIGURE 21 LARGE ENTERPRISES SEGMENT TO HOLD LARGER MARKET SIZE IN 2020
  FIGURE 22 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL TO HOLD HIGHEST MARKET SHARE IN 2020
  FIGURE 23 NORTH AMERICA TO HOLD HIGHEST MARKET SHARE AND ASIA PACIFIC TO GROW AT HIGHEST CAGR IN 2020

4 PREMIUM INSIGHTS (Page No. - 59)
    4.1 ATTRACTIVE OPPORTUNITIES IN NATURAL LANGUAGE PROCESSING MARKET
        FIGURE 24 GROWING DEMAND FOR CLOUD-BASED NLP SOLUTIONS TO REDUCE OVERALL COSTS AND BETTER SCALABILITY TO DRIVE NLP MARKET GROWTH
    4.2 MARKET: TOP THREE APPLICATIONS
        FIGURE 25 SENTIMENT ANALYSIS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    4.3 MARKET: BY COMPONENT AND TOP THREE VERTICALS
        FIGURE 26 SOLUTIONS SEGMENT AND BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL TO HOLD HIGHEST MARKET SHARES IN 2020
    4.4 MARKET, BY REGION
        FIGURE 27 NORTH AMERICA TO HOLD HIGHEST MARKET SHARE IN 2020

5 MARKET OVERVIEW (Page No. - 62)
    5.1 INTRODUCTION
    5.2 NATURAL LANGUAGE PROCESSING: EVOLUTION
        FIGURE 28 EVOLUTION OF NATURAL LANGUAGE PROCESSING MARKET
    5.3 NATURAL LANGUAGE PROCESSING: ARCHITECTURE
        FIGURE 29 MARKET ARCHITECTURE
    5.4 MARKET DYNAMICS
        FIGURE 30 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: NLP MARKET
           5.4.1 DRIVERS
                    5.4.1.1 Increasing usage of smart devices to facilitate smart environments
                            FIGURE 31 BRAND-WISE SMART SPEAKER USER PENETRATION IN THE UNITED STATES (2018 VS 2019)
                    5.4.1.2 Growing demand for cloud-based NLP solutions to reduce overall costs and better scalability
                    5.4.1.3 Rising urge of predictive analytics to reduce risks and identify growth opportunities
           5.4.2 RESTRAINTS
                    5.4.2.1 Complexities due to the usage of code-mixed language while implementing NLP solutions
                    5.4.2.2 Limitations in the development of NLP technology using neural networks restricting the usage of cloud-based services
           5.4.3 OPPORTUNITIES
                    5.4.3.1 Increase in investments in the healthcare vertical
                    5.4.3.2 Rise in the adoption of NLP-based applications across verticals to enhance customer experience
           5.4.4 CHALLENGES
                    5.4.4.1 Regulatory and privacy concerns over data security
                    5.4.4.2 Interoperability and reliability issues while deploying NLP algorithms
           5.4.5 CUMULATIVE GROWTH ANALYSIS
    5.5 CASE STUDY ANALYSIS
           5.5.1 INTRODUCTION
                    5.5.1.1 Use Case: Scenario 1
                    5.5.1.2 Use Case: Scenario 2
                    5.5.1.3 Use Case: Scenario 3
                    5.5.1.4 Use Case: Scenario 4
                    5.5.1.5 Use Case: Scenario 5
                    5.5.1.6 Use Case: Scenario 6
    5.6 NATURAL LANGUAGE PROCESSING MARKET: COVID-19 IMPACT
        FIGURE 32 NLP MARKET TO WITNESS SLOWDOWN IN GROWTH IN 2020
    5.7 PATENT ANALYSIS
    5.8 SUPPLY CHAIN ANALYSIS
        FIGURE 33 SUPPLY CHAIN ANALYSIS
    5.9 VALUE CHAIN ANALYSIS
        FIGURE 34 VALUE CHAIN ANALYSIS
    5.1 REGULATORY LANDSCAPE
           5.10.1 GENERAL DATA PROTECTION REGULATION
           5.10.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996
           5.10.3 GOVERNANCE, RISK, AND COMPLIANCE
           5.10.4 EUROPEAN UNION DATA PROTECTION REGULATION
           5.10.5 CAN-SPAM ACT
           5.10.6 SARBANES-OXLEY ACT OF 2002
    5.11 PRICING MODEL ANALYSIS
    5.12 PORTER’S FIVE FORCES ANALYSIS
         FIGURE 35 PORTER’S FIVE FORCES ANALYSIS
           5.12.1 THREAT OF NEW ENTRANTS
           5.12.2 THREAT OF SUBSTITUTES
           5.12.3 BARGAINING POWER OF SUPPLIERS
           5.12.4 BARGAINING POWER OF BUYERS
           5.12.5 INTENSITY OF COMPETITIVE RIVALRY
    5.13 TECHNOLOGY ANALYSIS
           5.13.1 ARTIFICIAL INTELLIGENCE AND NATURAL LANGUAGE PROCESSING
           5.13.2 DEEP LEARNING AND NATURAL LANGUAGE PROCESSING
           5.13.3 BIG DATA AND NATURAL LANGUAGE PROCESSING

6 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT (Page No. - 83)
    6.1 INTRODUCTION
           6.1.1 COMPONENTS: COVID-19 IMPACT
           6.1.2 COMPONENTS: MARKET DRIVERS
                 FIGURE 36 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                 TABLE 6 MARKET SIZE, BY COMPONENT, 2015–2019 (USD MILLION)
                 TABLE 7 MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
    6.2 SOLUTIONS
        TABLE 8 SOLUTIONS: MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
        TABLE 9 SOLUTIONS: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
        TABLE 10 SOLUTIONS: NLP MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
        TABLE 11 SOLUTIONS: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
           6.2.1 PLATFORM
                 TABLE 12 PLATFORM: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
                 TABLE 13 PLATFORM: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
           6.2.2 SOFTWARE TOOLS
                 TABLE 14 SOFTWARE TOOLS: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
                 TABLE 15 SOFTWARE TOOLS: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
    6.3 SERVICES
        FIGURE 37 MANAGED SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
        TABLE 16 SERVICES: MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
        TABLE 17 SERVICES: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
           6.3.1 PROFESSIONAL SERVICES
                 FIGURE 38 CONSULTING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                 TABLE 18 PROFESSIONAL SERVICES: NLP MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
                 TABLE 19 PROFESSIONAL SERVICES: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
                 TABLE 20 PROFESSIONAL SERVICES: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
                 TABLE 21 PROFESSIONAL SERVICES: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
                    6.3.1.1 Consulting
                            TABLE 22 CONSULTING MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
                            TABLE 23 CONSULTING MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
                    6.3.1.2 System Integration and Implementation
                            TABLE 24 SYSTEM INTEGRATION AND IMPLEMENTATION: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
                            TABLE 25 SYSTEM INTEGRATION AND IMPLEMENTATION: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
                    6.3.1.3 Support and Maintenance
                            TABLE 26 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
                            TABLE 27 SUPPORT AND MAINTENANCE MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
           6.3.2 MANAGED SERVICES
                 TABLE 28 MANAGED SERVICES MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
                 TABLE 29 MANAGED SERVICES MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)

7 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE (Page No. - 97)
    7.1 INTRODUCTION
           7.1.1 DEPLOYMENT MODES: COVID-19 IMPACT
           7.1.2 DEPLOYMENT MODES: MARKET DRIVERS
                 FIGURE 39 ON-PREMISES SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
                 TABLE 30 MARKET SIZE, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
                 TABLE 31 NLP MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
    7.2 ON-PREMISES
        TABLE 32 ON-PREMISES: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
        TABLE 33 ON-PREMISES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
    7.3 CLOUD
        TABLE 34 CLOUD: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
        TABLE 35 CLOUD: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)

8 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE (Page No. - 102)
    8.1 INTRODUCTION
           8.1.1 ORGANIZATION SIZE: COVID-19 IMPACT
           8.1.2 ORGANIZATION SIZE: MARKET DRIVERS
                 FIGURE 40 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
                 TABLE 36 MARKET SIZE, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
                 TABLE 37 MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
    8.2 SMALL AND MEDIUM-SIZED ENTERPRISES
        TABLE 38 SMALL AND MEDIUM-SIZED ENTERPRISES: NLP MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
        TABLE 39 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
    8.3 LARGE ENTERPRISES
        TABLE 40 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
        TABLE 41 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)

9 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE (Page No. - 108)
    9.1 INTRODUCTION
           9.1.1 TYPES: COVID-19 IMPACT
           9.1.2 TYPES: MARKET DRIVERS
                 FIGURE 41 HYBRID SEGMENT TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
                 TABLE 42 MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
                 TABLE 43 MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
    9.2 RULE-BASED
        TABLE 44 RULED-BASED: NLP MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
        TABLE 45 RULED-BASED: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
    9.3 STATISTICAL
        TABLE 46 STATISTICAL: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
        TABLE 47 STATISTICAL: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
    9.4 HYBRID
        TABLE 48 HYBRID: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
        TABLE 49 HYBRID: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)

10 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION (Page No. - 114)
     10.1 INTRODUCTION
             10.1.1 APPLICATIONS: COVID-19 IMPACT
             10.1.2 APPLICATIONS: MARKET DRIVERS
                    FIGURE 42 SENTIMENT ANALYSIS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 50 MARKET SIZE, BY APPLICATION, 2015–2019 (USD MILLION)
                    TABLE 51 MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
     10.2 SENTIMENT ANALYSIS
          TABLE 52 SENTIMENT ANALYSIS: NLP MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 53 SENTIMENT ANALYSIS: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     10.3 DATA EXTRACTION
          TABLE 54 DATA EXTRACTION: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 55 DATA EXTRACTION: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     10.4 RISK AND THREAT DETECTION
          TABLE 56 RISK AND THREAT DETECTION: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 57 RISK AND THREAT DETECTION: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     10.5 AUTOMATIC SUMMARIZATION
          TABLE 58 AUTOMATIC SUMMARIZATION: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 59 AUTOMATIC SUMMARIZATION: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     10.6 CONTENT MANAGEMENT
          TABLE 60 CONTENT MANAGEMENT: NLP MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 61 CONTENT MANAGEMENT: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     10.7 LANGUAGE SCORING
          TABLE 62 LANGUAGE SCORING: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 63 LANGUAGE SCORING: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     10.8 OTHERS
          TABLE 64 OTHERS APPLICATION: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 65 OTHERS APPLICATION: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)

11 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL (Page No. - 126)
     11.1 INTRODUCTION
             11.1.1 VERTICALS: COVID-19 IMPACT
             11.1.2 VERTICALS: MARKET DRIVERS
                    FIGURE 43 HEALTHCARE AND LIFE SCIENCES VERTICAL TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 66 MARKET SIZE, BY VERTICAL, 2015–2019 (USD MILLION)
                    TABLE 67 NLP MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
     11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
          TABLE 68 BANKING, FINANCIAL SERVICES AND INSURANCE: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 69 BFSI: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     11.3 IT AND TELECOM
          TABLE 70 IT AND TELECOM: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 71 IT AND TELECOM: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     11.4 RETAIL AND ECOMMERCE
          TABLE 72 RETAIL AND ECOMMERCE: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 73 RETAIL AND ECOMMERCE: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     11.5 HEALTHCARE AND LIFE SCIENCES
          TABLE 74 HEALTHCARE AND LIFE SCIENCES: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 75 HEALTHCARE AND LIFE SCIENCES: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     11.6 TRANSPORTATION AND LOGISTICS
          TABLE 76 TRANSPORTATION AND LOGISTICS: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 77 TRANSPORTATION AND LOGISTICS: NLP MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     11.7 GOVERNMENT AND PUBLIC SECTOR
          TABLE 78 GOVERNMENT AND PUBLIC SECTOR: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 79 GOVERNMENT AND PUBLIC SECTOR: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     11.8 ENERGY AND UTILITIES
          TABLE 80 ENERGY AND UTILITIES: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 81 ENERGY AND UTILITIES: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     11.9 MANUFACTURING
          TABLE 82 MANUFACTURING: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 83 MANUFACTURING: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     11.10 OTHERS
           TABLE 84 OTHERS VERTICAL: MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
           TABLE 85 OTHERS VERTICAL: MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)

12 NATURAL LANGUAGE PROCESSING MARKET, BY REGION (Page No. - 139)
     12.1 INTRODUCTION
          FIGURE 44 INDIA TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
          FIGURE 45 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD 140
          TABLE 86 MARKET SIZE, BY REGION, 2015–2019 (USD MILLION)
          TABLE 87 MARKET SIZE, BY REGION, 2019–2026 (USD MILLION)
     12.2 NORTH AMERICA
             12.2.1 NORTH AMERICA: COVID-19 IMPACT
             12.2.2 NORTH AMERICA: NLP MARKET DRIVERS
             12.2.3 NORTH AMERICA: REGULATIONS
                        12.2.3.1 Gramm–Leach–Bliley Act
                        12.2.3.2 Federal Information Security Management Act
                        12.2.3.3 Federal Information Processing Standards
                                 FIGURE 46 NORTH AMERICA: MARKET SNAPSHOT
                                 TABLE 88 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY COMPONENT, 2015–2019 (USD MILLION)
                                 TABLE 89 NORTH AMERICA: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
                                 TABLE 90 NORTH AMERICA: MARKET SIZE, BY SOLUTION, 2015–2019 (USD MILLION)
                                 TABLE 91 NORTH AMERICA: MARKET SIZE, BY SOLUTION, 2019–2026 (USD MILLION)
                                 TABLE 92 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2015–2019 (USD MILLION)
                                 TABLE 93 NORTH AMERICA: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
                                 TABLE 94 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
                                 TABLE 95 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
                                 TABLE 96 NORTH AMERICA: NLP MARKET SIZE, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
                                 TABLE 97 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
                                 TABLE 98 NORTH AMERICA: MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
                                 TABLE 99 NORTH AMERICA: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
                                 TABLE 100 NORTH AMERICA: MARKET SIZE, BY APPLICATION, 2015–2019 (USD MILLION)
                                 TABLE 101 NORTH AMERICA: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
                                 TABLE 102 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2015–2019 (USD MILLION)
                                 TABLE 103 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
                                 TABLE 104 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
                                 TABLE 105 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
             12.2.4 UNITED STATES
             12.2.5 CANADA
     12.3 EUROPE
             12.3.1 EUROPE: COVID-19 IMPACT
             12.3.2 EUROPE: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
             12.3.3 EUROPE: REGULATIONS
                        12.3.3.1 European Market Infrastructure Regulation
                        12.3.3.2 General Data Protection Regulation
                        12.3.3.3 European Committee for Standardization
                        12.3.3.4 European Technical Standards Institute
                                 TABLE 106 EUROPE: MARKET SIZE, BY COMPONENT, 2015–2019 (USD MILLION)
                                 TABLE 107 EUROPE: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
                                 TABLE 108 EUROPE: MARKET SIZE, BY SOLUTION, 2015–2019 (USD MILLION)
                                 TABLE 109 EUROPE: MARKET SIZE, BY SOLUTION, 2019–2026 (USD MILLION)
                                 TABLE 110 EUROPE: MARKET SIZE, BY SERVICE, 2015–2019 (USD MILLION)
                                 TABLE 111 EUROPE: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
                                 TABLE 112 EUROPE: NLP MARKET SIZE, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
                                 TABLE 113 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
                                 TABLE 114 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
                                 TABLE 115 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
                                 TABLE 116 EUROPE: MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
                                 TABLE 117 EUROPE: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
                                 TABLE 118 EUROPE: MARKET SIZE, BY APPLICATION, 2015–2019 (USD MILLION)
                                 TABLE 119 EUROPE: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
                                 TABLE 120 EUROPE: MARKET SIZE, BY VERTICAL, 2015–2019 (USD MILLION)
                                 TABLE 121 EUROPE: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
                                 TABLE 122 EUROPE: MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
                                 TABLE 123 EUROPE: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
             12.3.4 UNITED KINGDOM
             12.3.5 GERMANY
             12.3.6 FRANCE
             12.3.7 REST OF EUROPE
     12.4 ASIA PACIFIC
             12.4.1 ASIA PACIFIC: COVID-19 IMPACT
             12.4.2 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
             12.4.3 ASIA PACIFIC: REGULATIONS
                        12.4.3.1 Privacy Commissioner for Personal Data
                        12.4.3.2 Act on the Protection of Personal Information
                        12.4.3.3 Critical Information Infrastructure
                        12.4.3.4 International Organization for Standardization 27001
                        12.4.3.5 Personal Data Protection Act
                                 FIGURE 47 ASIA PACIFIC: MARKET SNAPSHOT
                                 TABLE 124 ASIA PACIFIC: NLP MARKET SIZE, BY COMPONENT, 2015–2019 (USD MILLION)
                                 TABLE 125 ASIA PACIFIC: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
                                 TABLE 126 ASIA PACIFIC: MARKET SIZE, BY SOLUTION, 2015–2019 (USD MILLION)
                                 TABLE 127 ASIA PACIFIC: MARKET SIZE, BY SOLUTION, 2019–2026 (USD MILLION)
                                 TABLE 128 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2015–2019 (USD MILLION)
                                 TABLE 129 ASIA PACIFIC: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
                                 TABLE 130 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
                                 TABLE 131 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
                                 TABLE 132 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
                                 TABLE 133 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
                                 TABLE 134 ASIA PACIFIC: MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
                                 TABLE 135 ASIA PACIFIC: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
                                 TABLE 136 ASIA PACIFIC: MARKET SIZE, BY APPLICATION, 2015–2019 (USD MILLION)
                                 TABLE 137 ASIA PACIFIC: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
                                 TABLE 138 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2015–2019 (USD MILLION)
                                 TABLE 139 ASIA PACIFIC: NLP MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
                                 TABLE 140 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
                                 TABLE 141 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
             12.4.4 CHINA
             12.4.5 INDIA
             12.4.6 JAPAN
             12.4.7 REST OF ASIA PACIFIC
     12.5 MIDDLE EAST AND AFRICA
             12.5.1 MIDDLE EAST AND AFRICA: COVID-19 IMPACT
             12.5.2 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
             12.5.3 MIDDLE EAST AND AFRICA: REGULATIONS
                        12.5.3.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
                        12.5.3.2 Cloud Computing Framework
                        12.5.3.3 GDPR Applicability in the Kingdom of Saudi Arabia (KSA)
                        12.5.3.4 Protection of Personal Information Act
                        12.5.3.5 Protection of Personal Information (POPI) Act
                                 TABLE 142 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2015–2019 (USD MILLION)
                                 TABLE 143 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
                                 TABLE 144 MIDDLE EAST AND AFRICA: NLP MARKET SIZE, BY SOLUTION, 2015–2019 (USD MILLION)
                                 TABLE 145 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SOLUTION, 2019–2026 (USD MILLION)
                                 TABLE 146 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2015–2019 (USD MILLION)
                                 TABLE 147 MIDDLE EAST AND AFRICA: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
                                 TABLE 148 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
                                 TABLE 149 MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
                                 TABLE 150 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
                                 TABLE 151 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
                                 TABLE 152 MIDDLE EAST AND AFRICA: MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
                                 TABLE 153 MIDDLE EAST AND AFRICA: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
                                 TABLE 154 MIDDLE EAST AND AFRICA: MARKET SIZE, BY APPLICATION, 2015–2019 (USD MILLION)
                                 TABLE 155 MIDDLE EAST AND AFRICA: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
                                 TABLE 156 MIDDLE EAST AND AFRICA: NLP MARKET SIZE, BY VERTICAL, 2015–2019 (USD MILLION)
                                 TABLE 157 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
                                 TABLE 158 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
                                 TABLE 159 MIDDLE EAST AND AFRICA: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
             12.5.4 KINGDOM OF SAUDI ARABIA
             12.5.5 UNITED ARAB EMIRATES
             12.5.6 SOUTH AFRICA
             12.5.7 REST OF MIDDLE EAST AND AFRICA
     12.6 LATIN AMERICA
             12.6.1 LATIN AMERICA: COVID-19 IMPACT
             12.6.2 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
             12.6.3 LATIN AMERICA: REGULATIONS
                        12.6.3.1 Brazil Data Protection Law
                                 TABLE 160 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2015–2019 (USD MILLION)
                                 TABLE 161 LATIN AMERICA: MARKET SIZE, BY COMPONENT, 2019–2026 (USD MILLION)
                                 TABLE 162 LATIN AMERICA: MARKET SIZE, BY SOLUTION, 2015–2019 (USD MILLION)
                                 TABLE 163 LATIN AMERICA: NLP MARKET SIZE, BY SOLUTION, 2019–2026 (USD MILLION)
                                 TABLE 164 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2015–2019 (USD MILLION)
                                 TABLE 165 LATIN AMERICA: MARKET SIZE, BY SERVICE, 2019–2026 (USD MILLION)
                                 TABLE 166 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2019 (USD MILLION)
                                 TABLE 167 LATIN AMERICA: MARKET SIZE,  BY DEPLOYMENT MODE, 2019–2026 (USD MILLION)
                                 TABLE 168 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2019 (USD MILLION)
                                 TABLE 169 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2019–2026 (USD MILLION)
                                 TABLE 170 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET SIZE, BY TYPE, 2015–2019 (USD MILLION)
                                 TABLE 171 LATIN AMERICA: MARKET SIZE, BY TYPE, 2019–2026 (USD MILLION)
                                 TABLE 172 LATIN AMERICA: MARKET SIZE, BY APPLICATION, 2015–2019 (USD MILLION)
                                 TABLE 173 LATIN AMERICA: MARKET SIZE, BY APPLICATION, 2019–2026 (USD MILLION)
                                 TABLE 174 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2015–2019 (USD MILLION)
                                 TABLE 175 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2019–2026 (USD MILLION)
                                 TABLE 176 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2015–2019 (USD MILLION)
                                 TABLE 177 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2019–2026 (USD MILLION)
             12.6.4 BRAZIL
             12.6.5 MEXICO
             12.6.6 REST OF LATIN AMERICA

13 COMPETITIVE LANDSCAPE (Page No. - 192)
     13.1 OVERVIEW
     13.2 MARKET EVALUATION FRAMEWORK
          FIGURE 48 MARKET EVALUATION FRAMEWORK: PARTNERSHIPS AND EXPANSIONS FROM 2018 TO 2020
     13.3 MARKET SHARE, 2020
          FIGURE 49 IBM LED NATURAL LANGUAGE PROCESSING MARKET IN 2020
     13.4 HISTORIC REVENUE ANALYSIS OF KEY MARKET PLAYERS
          FIGURE 50 REVENUE ANALYSIS OF KEY MARKET PLAYERS
     13.5 KEY MARKET DEVELOPMENTS
             13.5.1 NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS
                    TABLE 178 NEW PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS, 2018–2020
             13.5.2 BUSINESS EXPANSIONS
                    TABLE 179 BUSINESS EXPANSIONS, 2019-2020
             13.5.3 MERGERS AND ACQUISITIONS
                    TABLE 180 MERGERS AND ACQUISITIONS, 2018–2020
             13.5.4 PARTNERSHIPS, AGREEMENTS, CONTRACTS, AND COLLABORATIONS
                    TABLE 181 PARTNERSHIPS, AGREEMENTS, CONTRACTS, AND COLLABORATIONS, 2018–2020
     13.6 COMPANY EVALUATION MATRIX DEFINITIONS AND METHODOLOGY
          FIGURE 51 RANKING OF KEY PLAYERS, 2020
     13.7 COMPANY EVALUATION MATRIX, 2020
             13.7.1 STAR
             13.7.2 EMERGING LEADERS
             13.7.3 PERVASIVE
             13.7.4 PARTICIPANTS
                    FIGURE 52 NATURAL LANGUAGE PROCESSING MARKET (GLOBAL), COMPANY EVALUATION MATRIX, 2020
             13.7.5 STRENGTH OF PRODUCT PORTFOLIO
                    FIGURE 53 PRODUCT PORTFOLIO ANALYSIS OF TOP PLAYERS IN MARKET
             13.7.6 BUSINESS STRATEGY EXCELLENCE
                    FIGURE 54 BUSINESS STRATEGY EXCELLENCE OF TOP PLAYERS IN NLP MARKET
     13.8 STARTUP/SME EVALUATION MATRIX, 2020
             13.8.1 PROGRESSIVE COMPANIES
             13.8.2 RESPONSIVE COMPANIES
             13.8.3 DYNAMIC COMPANIES
             13.8.4 STARTING BLOCKS
                    FIGURE 55 MARKET (GLOBAL), STARTUP/SME EVALUATION MATRIX, 2020
             13.8.5 STRENGTH OF PRODUCT PORTFOLIO
                    FIGURE 56 PRODUCT PORTFOLIO ANALYSIS OF TOP STARTUPS IN NATURAL LANGUAGE PROCESSING MARKET
             13.8.6 BUSINESS STRATEGY EXCELLENCE
                    FIGURE 57 BUSINESS STRATEGY EXCELLENCE OF TOP STARTUPS IN NLP MARKET

14 COMPANY PROFILES (Page No. - 206)
     14.1 INTRODUCTION
(Business Overview, Solutions & Services, Key Insights, Recent Developments, MnM View)*
     14.2 IBM
          FIGURE 58 IBM: COMPANY SNAPSHOT
     14.3 MICROSOFT
          FIGURE 59 MICROSOFT: COMPANY SNAPSHOT
     14.4 GOOGLE
          FIGURE 60 GOOGLE: COMPANY SNAPSHOT
     14.5 AMAZON WEB SERVICES
          FIGURE 61 AMAZON WEB SERVICES: COMPANY SNAPSHOT
     14.6 FACEBOOK
          FIGURE 62 FACEBOOK: COMPANY SNAPSHOT
     14.7 APPLE
          FIGURE 63 APPLE: COMPANY SNAPSHOT
     14.8 3M
          FIGURE 64 3M: COMPANY SNAPSHOT
     14.9 INTEL
          FIGURE 65 INTEL: COMPANY SNAPSHOT
     14.10 BAIDU
           FIGURE 66 BAIDU: COMPANY SNAPSHOT
     14.11 SAS INSTITUTE
           FIGURE 67 SAS INSTITUTE: COMPANY SNAPSHOT
     14.12 LINGUAMATICS
     14.13 INBENTA
     14.14 HEALTH FIDELITY
     14.15 VERITONE
     14.16 DOLBEY
     14.17 NARRATIVE SCIENCE
     14.18 BITEXT
     14.19 CONVERSICA
     14.20 SPARKCOGNITION
     14.21 AUTOMATED INSIGHTS
     14.22 GNANI.AI
     14.23 NIKI.AI
     14.24 MIHUP
     14.25 OBSERVE.AI
     14.26 HYRO
     14.27 JUST AI
     14.28 RAGAVERA

*Details on Business Overview, Solutions & Services, Key Insights, Recent Developments, MnM View might not be captured in case of unlisted companies.

15 ADJACENT AND RELATED MARKETS (Page No. - 248)
     15.1 INTRODUCTION
     15.2 NLP IN HEALTHCARE AND LIFE SCIENCES MARKET - GLOBAL FORECAST TO 2025
             15.2.1 MARKET DEFINITION
             15.2.2 MARKET OVERVIEW
                        15.2.2.1 NLP in healthcare and life sciences market size, by component
                                 TABLE 182 NLP IN HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY COMPONENT, 2018–2025 (USD MILLION)
                        15.2.2.2 NLP in healthcare and life sciences market size, by type
                                 TABLE 183 NLP IN HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY TYPE, 2018–2025 (USD MILLION)
                        15.2.2.3 NLP in healthcare and life sciences market size, by deployment mode
                                 TABLE 184 NLP IN HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY DEPLOYMENT MODE, 2018–2025 (USD MILLION)
                        15.2.2.4 NLP in healthcare and life sciences market size, by organization size
                                 TABLE 185 NLP IN HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY ORGANIZATION SIZE, 2018–2025 (USD MILLION)
                        15.2.2.5 NLP in healthcare and life sciences market size, by application
                                 TABLE 186 NLP IN HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY APPLICATION, 2018–2025 (USD MILLION)
                        15.2.2.6 NLP in healthcare and life sciences market size, by end user
                                 TABLE 187 NLP IN HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY END USER, 2018–2025 (USD MILLION)
                        15.2.2.7 NLP in healthcare and life sciences market size, by region
                                 TABLE 188 NLP IN HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY REGION, 2018–2025 (USD MILLION)
     15.3 CONVERSATIONAL AI MARKET- GLOBAL FORECAST TO 2025
             15.3.1 MARKET DEFINITION
             15.3.2 MARKET OVERVIEW
                        15.3.2.1 Conversational AI market, by component
                                 TABLE 189 CONVERSATIONAL AI MARKET SIZE, BY COMPONENT, 2016–2019 (USD MILLION)
                                 TABLE 190 CONVERSATIONAL AI MARKET SIZE, BY COMPONENT, 2019–2025 (USD MILLION)
                        15.3.2.2 Conversational AI market, by type
                                 TABLE 191 CONVERSATIONAL AI MARKET SIZE, BY TYPE, 2016–2019 (USD MILLION)
                                 TABLE 192 CONVERSATIONAL AI MARKET SIZE, BY TYPE, 2019–2025 (USD MILLION)
                        15.3.2.3 Conversational AI market, by technology
                                 TABLE 193 CONVERSATIONAL AI MARKET SIZE, BY TECHNOLOGY, 2016–2019 (USD MILLION)
                                 TABLE 194 CONVERSATIONAL AI MARKET SIZE, BY TECHNOLOGY, 2019–2025 (USD MILLION)
                        15.3.2.4 Conversational AI market, by deployment mode
                                 TABLE 195 CONVERSATIONAL AI MARKET SIZE, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
                                 TABLE 196 CONVERSATIONAL AI MARKET SIZE, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
                        15.3.2.5 Conversational AI market, by application
                                 TABLE 197 CONVERSATIONAL AI MARKET SIZE, BY APPLICATION, 2016–2019 (USD MILLION)
                                 TABLE 198 CONVERSATIONAL AI MARKET SIZE, BY APPLICATION, 2019–2025 (USD MILLION)
                        15.3.2.6 Conversational AI market, by vertical
                                 TABLE 199 CONVERSATIONAL AI MARKET SIZE, BY VERTICAL, 2016–2019 (USD MILLION)
                                 TABLE 200 CONVERSATIONAL AI MARKET SIZE, BY VERTICAL, 2019–2025 (USD MILLION)
                        15.3.2.7 Conversational AI market, by region
                                 TABLE 201 CONVERSATIONAL AI MARKET SIZE, BY REGION, 2016–2019 (USD MILLION)
                                 TABLE 202 CONVERSATIONAL AI MARKET SIZE, BY REGION, 2019–2025(USD MILLION)

16 APPENDIX (Page No. - 260)

     16.1 INDUSTRY EXPERTS
     16.2 DISCUSSION GUIDE
     16.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
     16.4 AVAILABLE CUSTOMIZATIONS
     16.5 RELATED REPORTS
     16.6 AUTHOR DETAILS

The study involved four major activities in estimating the current market size of NLP market. Extensive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the NLP market.

Secondary Research

In the secondary research process, various secondary sources, such as Information Discovery and Delivery, Journal of Data Mining and Knowledge Discovery, and Data Science Journal, have been referred to for identifying and collecting information for this study. Secondary sources included annual reports; press releases & investor presentations of companies; whitepapers, certified publications, and articles by recognized authors; gold standard and silver standard websites; Research and Development (R&D) organizations; regulatory bodies; and databases.

Primary Research

Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from NLP solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

The following is the breakup of primary profiles:

Natural Language Processing Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the NLP market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the NLP market. The bottom-up approach was used to arrive at the overall market size of the global NLP market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market were identified through extensive secondary research.
  • The market size, in terms of value, was determined through primary and secondary research processes.
  • All percentages, shares, and breakups were determined using secondary sources and verified through primary sources.

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Report Objectives

  • To define, describe, and forecast the NLP market by component (solutions and services), organization size, deployment mode, application, vertical, and region
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
  • To profile the key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the NLP market
  • To analyze the impact of the COVID-19 pandemic on the NLP market

Available customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic analysis

  • Further breakup of the North American NLP market
  • Further breakup of the European NLP market
  • Further breakup of the APAC NLP market
  • Further breakup of the Latin American NLP market
  • Further breakup of the MEA NLP market

Company information

  • Detailed analysis and profiling of additional market players up to 5
COVID-19

Get in-depth analysis of the COVID-19 impact on the Natural Language Processing Market

Benchmarking the rapid strategy shifts of the Top 100 companies in the Natural Language Processing Market

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Related Technologies/Products

 

Adjacent Markets

Mar. Size
2018
CAGR 2018-23

Competitive Landscape

 
 
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Report Code
TC 3492
Published ON
Feb, 2021
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