Natural Language Processing (NLP) Market

Natural Language Processing (NLP) Market by Offering (Solutions, Services), Type (Rule-based, Statistical, Hybrid), Application (Sentiment Analysis, Social Media Monitoring), Technology (IVR, OCR, Auto Coding), Vertical & Region - Global Forecast to 2028

Report Code: TC 3492 Sep, 2023, by marketsandmarkets.com

The global Natural Language Processing Market is projected to grow from $18.9 billion in 2023 to $68.1 billion by 2028, at a CAGR of 29.3% during the forecast period. The growth of the natural language processing market is driven by various factors, including advancements in text-analyzing computer programs, rising need for enterprise solutions to streamline business operations for better customer experience, surging demand for cloud-based NLP solutions to reduce overall costs and enhance scalability and demand for predictive analytics to reduce risks and identify growth opportunities.

Natural Language Processing (NLP) Market

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Natural Language Processing (NLP) Market

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Market Dynamics

Driver: Advancements in text-analyzing computer programs

NLP is a technology that enables the processing of human language in the form of text or voice data. It is used in various applications, such as voice-operated GPS systems, digital assistants, speech-to-text dictation software, and customer service chatbots. NLP combines computational linguistics with statistical, machine learning, and deep learning models to create a comprehensive understanding of human language, including the speaker or writer's intention and sentiment. IBM's Watson Natural Language Understanding (NLU) is a tool that analyzes unstructured data formats, including HTML, webpages, and social media, to identify concepts, keywords, categories, semantics, and emotions. It also performs text classification, entity extraction, Named Entity Recognition (NER), sentiment analysis, and summarization.

Restraint : Lack of contextual understanding leading to ambiguity

Natural Language Understanding (NLU) is a process that involves comprehending the context in which language is used. However, understanding the context can be quite challenging due to certain obstacles. Firstly, some words can have multiple meanings, resulting in ambiguity. To eliminate such ambiguities and ensure that such words are precisely understood in a specific document, linguistics has been continuously working on resolving the issue of word sense disambiguation. Secondly, text documents often use domain-specific discourse models, such as legal contracts, news articles, research reports, and many others. These documents have certain properties, such as domain discourse models, that need to be added to AI technology to enhance NLU.

Opportunity: Generative AI acting as catalyst for transforming NLP Market

Generative AI is a revolutionary technology that has transformed the Natural Language Processing (NLP) market. With advanced language models, such as GPT-3 and its successors, generative AI enables the automatic creation of human-like text, which opens doors to several innovative applications. It powers chatbots that can engage in coherent conversations, content generation for marketing and journalism, and personalized recommendations for users. Generative AI offers businesses a cost-effective way to engage their audiences by generating creative and contextually relevant content at scale.

Challenge: Lack of multilingual proficiency

The potential of NLP technology to revolutionize language-based technology has gained significant attention in recent years. However, most of the research and development in NLP has been focused on English and a few other popular languages, leaving a vast number of the world's languages underserved. With approximately 7,000 languages spoken globally, primarily in regions like Asia, addressing this linguistic diversity is crucial to ensure that technological advancements benefit a more inclusive global audience.

Natural Language Processing Market Ecosystem

The natural language processing market report covers market ecosystem which comprises platform providers, software providers, service providers, framework & toolkit providers, end users and regulatory bodies.

Natural Language Processing (NLP) Market

By Vertical, BFSI segment accounts for the largest market size during the forecast period

Businesses in the BFSI sector strive to retain customers, reduce expenses, increase revenue, and abide by changing regulations. NLP-based products aid BFSI firms in mitigating risks through tasks such as information retrieval, intent parsing, customer service, and compliance process automation. Major BFSI companies have implemented NLP solutions, such as JP Morgan Chase's COIN, which uses ML software to help its legal teams parse through legal documents. SAS Platform, through its cloud solution integration, claims to have assisted the Royal Bank of Scotland (RBS) in analyzing customer feedback and improving customer experiences using NLP.

Managed Services segment is projected to grow at the highest CAGR during the forecast period

Companies understand the importance of providing excellent client experiences, which is why they often seek out the best players in the market to provide managed services. However, managing these services while also focusing on core business procedures can be challenging. This is where managed services come in. They offer specialized skills to maintain and update NLP software and services, as well as providing pre- and post-deployment support to clients. Many organizations outsource these services to ensure timely support for their clients. MSPs are third-party companies that manage and provide support to the IT infrastructure of NLP providers under a subscription model or Service-Level Agreement (SLA). They are responsible for resolving all hardware and software-related issues.

North America to account for the largest market size during the forecast period

North America comprises developed economies, such as the United States and Canada. Both countries have identified AI as a national policy priority area. Many organizations in the region, especially in the US, have integrated AI, ML, and deep learning technologies into their business processes to stay ahead of the market. AI-based technologies in customer support offer significant financial benefits to organizations that primarily offer call center services. The region's NLP market is experiencing rapid growth due to favorable conditions such as infrastructure development and high adoption of digital technologies. Large-scale investments in AI-enabled infrastructure by startups and established companies have resulted in the development of innovative AI-enabled solutions across various verticals.

Natural Language Processing (NLP) Market Size, and Share

Key Market Players

The major natural language processing solutions and service providers include IBM (US), Microsoft (US), Google (US), AWS (US), Meta (US), 3M (US), Baidu (China), Apple (US), SAS Institute (US), IQVIA (UK), Oracle (US), Salesforce (US), OpenAI (US), Inbenta (US), LivePerson (US), SoundHound AI (US), MindMeld (US), Veritone (US), Dolbey (US), Automated Insights (US), Bitext (US), Conversica (US), UiPath (US), Addepto (US), RaGaVeRa (India), Observe.ai (US), Eigen (US), Gnani.ai (India), Crayon Data (Singapore), Narrativa (US), deepset (US), Ellipsis Health (US), DheeYantra (US), Verbit.ai (US), Rasa (US), MonkeyLearn (US), TextRazor (England), and Cohere (Canada).  These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the natural language processingmarket.

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Scope of the Report

Report Metrics

Details

Market size available for years

2017–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

USD Billion

Segments covered

Offering (Solutions – [Deployment Mode], Services), Type, Application, Technology, Vertical, and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

IBM (US), Microsoft (US), Google (US), AWS (US), Meta (US), 3M (US), Baidu (China), Apple (US), SAS Institute (US), IQVIA (UK), Oracle (US), Salesforce (US), OpenAI (US), Inbenta (US), LivePerson (US), SoundHound AI (US), MindMeld (US), Veritone (US), Dolbey (US), Automated Insights (US), Bitext (US), Conversica (US), UiPath (US), Addepto (US), RaGaVeRa (India), Observe.ai (US), Eigen (US), Gnani.ai (India), Crayon Data (Singapore), Narrativa (US), deepset (US), Ellipsis Health (US), DheeYantra (US), Verbit.ai (US), Rasa (US), MonkeyLearn (US), TextRazor (England), and Cohere (Canada).

This research report categorizes the natural language processing market based on Offering, Application, End User, and Region.

By Offering:
  • Solutions
    • Type
      • Platforms
      • Software tools
    • Deployment Mode
      • Cloud
      • On Premises
  • Services
    • Professional Services
      • Training & Consulting
      • System Integration & Implementation
      • Support & Maintenance
    • Managed Services
By Type:
  • Rule-Based
  • Statistical
  • Hybrid
By Application:
  • Customer Experience Management  
  • Virtual Assistants/Chatbots
  • Social Media Monitoring
  • Sentiment Analysis
  • Text Classification & Summarization
  • Employee Onboarding & Recruiting
  • Language Generation & Speech Recognition
  • Machine Translation
  • Other Applications
By Technology:
  • Optical Character Recognition   
  • Interactive Voice Response
  • Auto Coding
  • Text Analytics
  • Speech Analytics
  • Image & Pattern Recognition
  • Simulation & Modeling
By Vertical:
  • BFSI
  • IT & ITeS
  • Retail & eCommerce
  • Healthcare and Life Sciences
  • Transportation and Logistics
  • Government and Public Sector
  • Media & Entertainment
  • Manufacturing
  • Telecom
  • Others (Education, Travel & Hospitality, Automotive, and Energy & Utilities)
By Region:
  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Recent Developments:

  • In August 2023, Meta introduced SeamlessM4T, a groundbreaking AI translation model that stands as the first to offer comprehensive multimodal and multilingual capabilities. This innovative model empowers individuals to communicate across languages through both speech and text effortlessly. Its impressive features include speech recognition for nearly 100 languages, speech-to-text translation for nearly 100 input and output languages, and speech-to-speech translation supporting almost 100 input languages and 36 output languages (including English).
  • In August 2023, Google Cloud announced a partnership with AI21 Labs, an Israeli startup revolutionizing reading and writing through generative AI and large language models (LLMs). AI21 Labs utilizes Google Cloud's specialized AI/ML infrastructure to expedite model training and inferencing. This partnership enables customers to seamlessly integrate industry-specific generative AI capabilities through BigQuery connectors and functions.
  • In March 2023, Baidu unveiled ERNIE Bot, its latest innovation in generative AI, featuring a knowledge-enhanced LLM. This cutting-edge technology can understand human intentions and provide precise, coherent, and fluent responses that approach human-level comprehension and communication.
  • In February 2022, SoundHound AI expanded its partnership with Snap to offer automatic captioning for Snapchat videos. By utilizing SoundHound's Automatic Speech Recognition (ASR) software, Snapchatters can easily generate transcriptions of the audio content in their Snaps in real time. This feature enhances the accessibility and user experience for individuals who may prefer or require captions while viewing videos on the platform.
  • In February 2022, Meta announced its latest innovation, the Universal Speech Translator, where Meta is designing novel approaches to translating from a speech in one language to another in real time so it can support languages without a standard writing system as well as those that are both written and spoken.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 53)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
    1.4 YEARS CONSIDERED 
    1.5 CURRENCY CONSIDERED 
    1.6 STAKEHOLDERS 
    1.7 SUMMARY OF CHANGES 
           1.7.1 RECESSION IMPACT
 
2 RESEARCH METHODOLOGY (Page No. - 60)
    2.1 RESEARCH DATA 
           FIGURE 1 NATURAL LANGUAGE PROCESSING MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 1 PRIMARY INTERVIEWS WITH EXPERTS
                    2.1.2.1 Breakup of primary profiles
                               FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY NAME, DESIGNATION, AND REGION
                    2.1.2.2 Key insights from industry experts
    2.2 DATA TRIANGULATION AND MARKET BREAKUP 
           FIGURE 3 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 4 NATURAL LANGUAGE PROCESSING MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): FLOWCHART USING REVENUE FROM NLP SOLUTIONS/SERVICES
                    FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL NLP SOLUTION/SERVICE COMPANIES
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): REVENUES OF TOP PLAYERS AND SOURCES OF DATA
                    FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE THROUGH OVERALL NLP SPENDING
    2.4 MARKET FORECAST 
           TABLE 2 FACTOR ANALYSIS
    2.5 RESEARCH ASSUMPTIONS 
    2.6 LIMITATIONS 
    2.7 RECESSION IMPACT ANALYSIS 
           TABLE 3 IMPACT OF RECESSION
 
3 EXECUTIVE SUMMARY (Page No. - 74)
    TABLE 4 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y) 
    TABLE 5 MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y) 
    FIGURE 9 SOLUTIONS SEGMENT TO ACCOUNT FOR LARGER MARKET IN 2023 
    FIGURE 10 SOFTWARE TOOLS SEGMENT TO ACCOUNT FOR LARGER MARKET IN 2023 
    FIGURE 11 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET IN 2023 
    FIGURE 12 SYSTEM INTEGRATION & IMPLEMENTATION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023 
    FIGURE 13 STATISTICAL TYPE SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2023 
    FIGURE 14 IVR TECHNOLOGY SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023 
    FIGURE 15 SENTIMENT ANALYSIS SEGMENT TO ACCOUNT FOR THE LARGEST APPLICATION IN 2023 
    FIGURE 16 CLOUD DEPLOYMENT SEGMENT TO BE LARGER MARKET IN 2023 
    FIGURE 17 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023 
    FIGURE 18 ASIA PACIFIC TO GROW AT HIGHEST CAGR IN MARKET DURING FORECAST PERIOD 
 
4 PREMIUM INSIGHTS (Page No. - 80)
    4.1 ATTRACTIVE OPPORTUNITIES IN NATURAL LANGUAGE PROCESSING MARKET 
           FIGURE 19 SURGING DEMAND FOR VIRTUAL ASSISTANTS AND CHATBOTS POWERED BY GENERATIVE AI TO BOOST ADOPTION OF NLP SOLUTIONS
    4.2 OVERVIEW OF RECESSION IN GLOBAL MARKET 
           FIGURE 20 MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
    4.3 MARKET: TOP THREE APPLICATIONS 
           FIGURE 21 SENTIMENT ANALYSIS APPLICATION TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
    4.4 MARKET: KEY OFFERING & TOP THREE VERTICALS 
           FIGURE 22 SOLUTIONS AND BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET SHARES RESPECTIVELY IN 2023
    4.5 MARKET, BY REGION 
           FIGURE 23 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
 
5 MARKET OVERVIEW AND NATURAL LANGUAGE PROCESSING INDUSTRY TRENDS (Page No. - 83)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 24 MARKET DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: NATURAL LANGUAGE PROCESSING MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Advancements in text-analyzing computer programs
                    5.2.1.2 Rising need to streamline business operations for better customer experience
                    5.2.1.3 Surging demand for cloud-based NLP solutions to reduce overall costs and enhance scalability
                    5.2.1.4 Demand for predictive analytics to reduce risks and identify growth opportunities
           5.2.2 RESTRAINTS
                    5.2.2.1 Lack of contextual understanding leading to ambiguity
                    5.2.2.2 Complexities due to code-mixed language
                    5.2.2.3 Limitations in developing NLP technology using neural networks
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Generative AI acting as catalyst for transforming NLP market
                    5.2.3.2 Need for developing big data technology for actionable business intelligence
                    5.2.3.3 Increasing demand for effective data management and advanced data analytics in healthcare sector
           5.2.4 CHALLENGES
                    5.2.4.1 Lack of multilingual proficiency
                    5.2.4.2 Regulatory and privacy concerns over data security
                    5.2.4.3 Interoperability and reliability issues while deploying NLP algorithms
    5.3 NATURAL LANGUAGE PROCESSING INDUSTRY TRENDS 
           5.3.1 NATURAL LANGUAGE PROCESSING: EVOLUTION
                    FIGURE 25 NATURAL LANGUAGE PROCESSING MARKET: EVOLUTION
           5.3.2 NATURAL LANGUAGE PROCESSING: ARCHITECTURE
                    FIGURE 26 MARKET: ARCHITECTURE
           5.3.3 VALUE CHAIN ANALYSIS
                    FIGURE 27 MARKET: VALUE CHAIN ANALYSIS
           5.3.4 SUPPLY CHAIN ANALYSIS
                    FIGURE 28 MARKET: SUPPLY CHAIN ANALYSIS
           5.3.5 ECOSYSTEM
                    FIGURE 29 MARKET: ECOSYSTEM
                    TABLE 6 MARKET: PLATFORM PROVIDERS
                    TABLE 7 MARKET: SOFTWARE PROVIDERS
                    TABLE 8 MARKET: SERVICE PROVIDERS
                    TABLE 9 MARKET: FRAMEWORK AND TOOLKIT PROVIDERS
                    TABLE 10 NATURAL LANGUAGE PROCESSING MARKET: REGULATORY BODIES
           5.3.6 PRICING ANALYSIS
                    5.3.6.1 Selling prices of key players, by application
                               FIGURE 30 SELLING PRICES OF KEY PLAYERS FOR TOP THREE APPLICATIONS
                               TABLE 11 SELLING PRICES OF KEY PLAYERS FOR TOP THREE APPLICATIONS (USD)
                    5.3.6.2 Indicative pricing analysis of NLP software
                               TABLE 12 NATURAL LANGUAGE PROCESSING PRODUCTS: PRICING LEVELS
    5.4 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 31 PORTER’S FIVE FORCES ANALYSIS
           TABLE 13 PORTER’S FIVE FORCES ANALYSIS
           5.4.1 THREAT OF NEW ENTRANTS
           5.4.2 THREAT OF SUBSTITUTES
           5.4.3 BARGAINING POWER OF SUPPLIERS
           5.4.4 BARGAINING POWER OF BUYERS
           5.4.5 INTENSITY OF COMPETITIVE RIVALRY
           5.4.6 TRENDS/DISRUPTIONS IMPACTING BUYER/CLIENT BUSINESS
                    FIGURE 32 NATURAL LANGUAGE PROCESSING MARKET: TRENDS/DISRUPTIONS IMPACTING BUYER/CLIENT BUSINESS
           5.4.7 TECHNOLOGY ANALYSIS
                    FIGURE 33 MARKET: TECHNOLOGY ANALYSIS
                    5.4.7.1 Key Technologies
                               5.4.7.1.1 AI
                               5.4.7.1.2 Deep Learning
                               5.4.7.1.3 Speech Recognition
                               5.4.7.1.4 Speech-to-Text
                               5.4.7.1.5 Text-to-Speech
                    5.4.7.2 Complementary Technologies
                               5.4.7.2.1 Big Data
                               5.4.7.2.2 Cloud Computing
                               5.4.7.2.3 IoT
                    5.4.7.3 Adjacent Technologies
                               5.4.7.3.1 Blockchain
                               5.4.7.3.2 Cybersecurity
                               5.4.7.3.3 Graph Databases
           5.4.8 CASE STUDY ANALYSIS
                    5.4.8.1 Banking, financial services, and insurance
                               5.4.8.1.1 Case Study 1: National Bank of Greece modernized its analytics platform with SAS Viya on Azure
                               5.4.8.1.2 Case Study 2: HSBC implemented LivePerson’s conversational AI solutions with intelligent automation
                               5.4.8.1.3 Case Study 3: Observe.AI's Auto QA revolutionized compliance and performance optimization of financial services company
                    5.4.8.2 Healthcare & life sciences
                               5.4.8.2.1 Case Study 4: TGH Urgent Care streamlined operations and improved patient experience with LivePerson's Voice Bot
                               5.4.8.2.2 Case Study 5: Atrius Health created queries to extract clinical data from free-text fields using Linguamatics I2E
                               5.4.8.2.3 Case Study 6: Huntsman Cancer Institute optimized research with Linguamatics NLP platform
                               5.4.8.2.4 Case Study 7: Humana’s Voice Agent reduced costly pre-service calls with conversational AI
                    5.4.8.3 IT & ITeS
                               5.4.8.3.1 Case Study 8: Telenor adapted to rapidly changing customer expectations using SAS Viya
                    5.4.8.4 Retail & eCommerce
                               5.4.8.4.1 Case Study 9: Wehkamp generated high-quality product descriptions while maintaining SEO focus with NLG
                               5.4.8.4.2 Case Study 10: Bitext's Multilingual Synthetic Training Data transformed customer service
                    5.4.8.5 Government & public sector
                               5.4.8.5.1 Case Study 11: Azure Maps Weather forecasted data and SAS Event Stream Processing predicted flooding time
                    5.4.8.6 Media & entertainment
                               5.4.8.6.1 Case Study 12: Sweetwater enhanced customer experience with VoiceBase Conversation Intelligence
                               5.4.8.6.2 Case Study 13: Hearst Newspapers used Google Cloud Natural Language API for content classification
                    5.4.8.7 Travel & hospitality
                               5.4.8.7.1 Case Study 14: SAS gave Foxwoods Resort Casino holistic view of resort operations
           5.4.9 PATENT ANALYSIS
                    5.4.9.1 Methodology
                    5.4.9.2 Document Type
                               TABLE 14 PATENTS FILED, 2013–2023
                    5.4.9.3 Innovation and Patent Applications
                               FIGURE 34 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023
                               5.4.9.3.1 Top applicants
                               FIGURE 35 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2013–2023
                               TABLE 15 TOP TWENTY PATENT OWNERS, 2013–2023
                               TABLE 16 LIST OF PATENTS IN NATURAL LANGUAGE PROCESSING MARKET, 2021–2023
           5.4.10 KEY CONFERENCES & EVENTS, 2023–2024
                    TABLE 17 DETAILED LIST OF CONFERENCES & EVENTS, 2023–2024
           5.4.11 TARIFFS AND REGULATORY LANDSCAPE
                    5.4.11.1 Regulatory bodies, government agencies, and other organizations
                               TABLE 18 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                               TABLE 19 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                               TABLE 20 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                               TABLE 21 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                               5.4.11.1.1 North America
                                             5.4.11.1.1.1 US
                                             5.4.11.1.1.2 Canada
                               5.4.11.1.2 Europe
                               5.4.11.1.3 Asia Pacific
                                             5.4.11.1.3.1 South Korea
                                             5.4.11.1.3.2 China
                                             5.4.11.1.3.3 India
                                             5.4.11.1.4.1 UAE
                                             5.4.11.1.4.2 KSA
                                             5.4.11.1.4.3 Bahrain
                               5.4.11.1.5 Latin America
                                             5.4.11.1.5.1 Brazil
                                             5.4.11.1.5.2 Mexico
           5.4.12 KEY STAKEHOLDERS AND BUYING CRITERIA
                    FIGURE 36 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
                    TABLE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
                    5.4.12.1 Buying Criteria
                               FIGURE 37 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
                               TABLE 23 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
           5.4.13 BEST PRACTICES IN NATURAL LANGUAGE PROCESSING MARKET
           5.4.14 TECHNOLOGY ROADMAP OF MARKET
                    TABLE 24 SHORT-TERM ROADMAP, 2023–2025
                    TABLE 25 MID-TERM ROADMAP, 2026–2028
                    TABLE 26 LONG-TERM ROADMAP, 2029–2030
           5.4.15 STEPS IN NATURAL LANGUAGE PROCESSING
           5.4.16 BUSINESS MODELS OF MARKET
                    5.4.16.1 NLP as a Service (NLPaaS)
                    5.4.16.2 NLP Software and Tools Licensing
                    5.4.16.3 NLP Content Generation and Publishing
                    5.4.16.4 NLP Analytics and Insights
                    5.4.16.5 NLP Consulting and Custom Solutions
 
6 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING (Page No. - 137)
    6.1 INTRODUCTION 
           6.1.1 OFFERING: MARKET DRIVERS
                    FIGURE 38 SERVICES SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 27 MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 28 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
    6.2 SOLUTIONS 
           6.2.1 NLP SOLUTIONS TO ANALYZE TEXT, VOICE, AND VIDEO CONTENT, ENABLING AI AGENTS TO UNDERSTAND NUANCES AND CONTEXTS OF HUMAN LANGUAGE
                    FIGURE 39 SOFTWARE TOOLS SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
                    TABLE 29 MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                    TABLE 30 MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                    TABLE 31 SOLUTIONS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 32 SOLUTIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.2 PLATFORMS
                    6.2.2.1 NLP platforms to provide comprehensive tools and infrastructure
                               TABLE 33 PLATFORMS: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 34 PLATFORMS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.2.3 SOFTWARE TOOLS
                    6.2.3.1 NLP software tools to enable users to integrate NLP capabilities with existing software
                               TABLE 35 SOFTWARE TOOLS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 36 SOFTWARE TOOLS: MARKET, BY REGION, 2023–2028 (USD MILLION)
    6.3 BY DEPLOYMENT MODE 
           6.3.1 CLOUD DEPLOYMENT MODE TO DOMINATE MARKET DUE TO ITS SCALABILITY, EASY AVAILABILITY, AND COST SAVINGS
                    FIGURE 40 CLOUD SEGMENT TO HOLD LARGER MARKET SIZE DURING FORECAST PERIOD
                    TABLE 37 MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                    TABLE 38 MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
           6.3.2 CLOUD
                    6.3.2.1 Cloud system to offer flexibility for business operations and real-time deployment ease
                               TABLE 39 CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 40 CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.3.3 ON-PREMISES
                    6.3.3.1 On-premises solutions to help in data validation, standardization, and robust matching
                               TABLE 41 ON-PREMISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 42 ON-PREMISES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    6.4 SERVICES 
           6.4.1 SERVICES TO ACHIEVE EFFECTIVE SOFTWARE OPERATIONS AND INCREASE EFFICIENCY
                    FIGURE 41 PROFESSIONAL SERVICES SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
                    TABLE 43 MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                    TABLE 44 MARKET, BY SERVICE, 2023–2028 (USD MILLION)
           6.4.2 PROFESSIONAL SERVICES
                    6.4.2.1 Professional services to support, maintain, and manage installed software
                               FIGURE 42 TRAINING & CONSULTING SEGMENT TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
                               TABLE 45 PROFESSIONAL SERVICES: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017–2022 (USD MILLION)
                               TABLE 46 PROFESSIONAL SERVICES: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                               TABLE 47 PROFESSIONAL SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 48 PROFESSIONAL SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.4.2.2 Training & Consulting
                               TABLE 49 TRAINING & CONSULTING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 50 TRAINING & CONSULTING: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.4.2.3 System Integration & Implementation
                               TABLE 51 SYSTEM INTEGRATION & IMPLEMENTATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 52 SYSTEM INTEGRATION & IMPLEMENTATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.4.2.4 Support & Maintenance
                               TABLE 53 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 54 SUPPORT & MAINTENANCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
           6.4.3 MANAGED SERVICES
                    6.4.3.1 Managed services to offer specialized skills to maintain and update NLP software and services
                               TABLE 55 MANAGED SERVICES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 56 MANAGED SERVICES: MARKET, BY REGION, 2023–2028 (USD MILLION)
                    6.4.3.2 NLP Model as a Service (MaaS)
                    6.4.3.3 Chatbot as a Service (CaaS)
                    6.4.3.4 Sentiment Analysis as a Service
                    6.4.3.5 Other managed services
 
7 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE (Page No. - 156)
    7.1 INTRODUCTION 
           7.1.1 TYPE: MARKET DRIVERS
                    FIGURE 43 HYBRID NATURAL LANGUAGE PROCESSING TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 57 MARKET, BY TYPE, 2017–2022 (USD MILLION)
                    TABLE 58 MARKET, BY TYPE, 2023–2028 (USD MILLION)
    7.2 RULE-BASED 
           7.2.1 RULE-BASED NLP TO USE EXTENSIVE LINGUISTIC RULES TO TAG AND CATEGORIZE TEXT MORE ACCURATELY
                    TABLE 59 RULE-BASED: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 60 RULE-BASED: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 STATISTICAL 
           7.3.1 STATISTICAL NLP TO FOCUS ON STATISTICAL MODELS AND PROBABILISTIC ALGORITHMS TO UNDERSTAND AND PROCESS HUMAN LANGUAGE
                    TABLE 61 STATISTICAL: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 62 STATISTICAL: MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.4 HYBRID 
           7.4.1 HYBRID NLP TO PROVIDE VERSATILE SOLUTION TO TACKLE DIVERSE CHALLENGES OF LANGUAGE UNDERSTANDING AND GENERATION
                    TABLE 63 HYBRID: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 64 HYBRID: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION (Page No. - 162)
    8.1 INTRODUCTION 
           8.1.1 APPLICATION: MARKET DRIVERS
                    FIGURE 44 SENTIMENT ANALYSIS APPLICATION TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
                    TABLE 65 MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                    TABLE 66 MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
    8.2 CUSTOMER EXPERIENCE MANAGEMENT 
           8.2.1 CUSTOMER EXPERIENCE MANAGEMENT TO OVERSEE, ORGANIZE, AND MONITOR CUSTOMER INTERACTIONS
                    TABLE 67 CUSTOMER EXPERIENCE MANAGEMENT: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 68 CUSTOMER EXPERIENCE MANAGEMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.3 VIRTUAL ASSISTANTS/CHATBOTS 
           8.3.1 CHATBOTS TO FACILITATE CONVERSATIONS BETWEEN HUMANS AND COMPUTERS IN EVERYDAY BUSINESS PROCESSES
                    TABLE 69 VIRTUAL ASSISTANTS/CHATBOTS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 70 VIRTUAL ASSISTANTS/CHATBOTS: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.3.2 VOICE-ACTIVATED VIRTUAL ASSISTANTS
                    8.3.2.1 Voice-powered Virtual Assistants
                    8.3.2.2 Enterprise Virtual Assistants Chatbots
           8.3.3 ML-BASED CHATBOTS
                    8.3.3.1 Intent Recognition
                    8.3.3.2 Dialog Management
           8.3.4 RULE-BASED CHATBOTS
                    8.3.4.1 Decision Tree-based Chatbots
                    8.3.4.2 Scripted Chatbots
    8.4 SOCIAL MEDIA MONITORING 
           8.4.1 SOCIAL MEDIA MONITORING TO ENABLE CONNECTING WITH CUSTOMERS, PROVIDING CUSTOMER SUPPORT, AND MEASURING SOCIAL MEDIA REACH
                    TABLE 71 SOCIAL MEDIA MONITORING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 72 SOCIAL MEDIA MONITORING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.5 SENTIMENT ANALYSIS 
           8.5.1 SENTIMENT ANALYSIS TO IDENTIFY TEXT EXPRESSIONS, GAIN INSIGHTS FROM SOCIAL MEDIA COMMENTS, AND DETECT SENTIMENTS
                    TABLE 73 SENTIMENT ANALYSIS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 74 SENTIMENT ANALYSIS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.5.2 AUTOMATED SENTIMENT ANALYSIS
           8.5.3 FINE-GRAINED ANALYSIS
    8.6 TEXT CLASSIFICATION & SUMMARIZATION 
           8.6.1 TEXT CLASSIFICATION TO ANALYZE TEXT AND ASSIGN PRE-DEFINED TAGS OR CATEGORIES BASED ON ITS CONTENT
                    TABLE 75 TEXT CLASSIFICATION & SUMMARIZATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 76 TEXT CLASSIFICATION & SUMMARIZATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.7 EMPLOYEE ONBOARDING & RECRUITING 
           8.7.1 NATURAL LANGUAGE PROCESSING TO PERFORM THEME ANALYSIS, SHORTLIST BEST APPLICANTS AND JOBS, AND IMPROVE HR EFFICIENCY AND CANDIDATE EXPERIENCE
                    TABLE 77 EMPLOYEE ONBOARDING & RECRUITING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 78 EMPLOYEE ONBOARDING & RECRUITING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.8 LANGUAGE GENERATION & SPEECH RECOGNITION 
           8.8.1 LANGUAGE GENERATION AND SPEECH RECOGNITION TO IMPROVE COMMUNICATION, AUTOMATION, AND CUSTOMER ENGAGEMENT
                    TABLE 79 LANGUAGE GENERATION & SPEECH RECOGNITION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 80 LANGUAGE GENERATION & SPEECH RECOGNITION: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.8.2 GENERATIVE PRETRAINED TRANSFORMER
                    8.8.2.1 Fine-tuned Models
                    8.8.2.2 Creative Content Generation
           8.8.3 NATURAL LANGUAGE GENERATION
                    8.8.3.1 Content Templates
                    8.8.3.2 Data-to-Text Generation
           8.8.4 AUTOMATIC SPEECH RECOGNITION (ASR)
                    8.8.4.1 Speaker Recognition
                    8.8.4.2 Speech-to-Text Conversation
           8.8.5 SPEECH SYNTHESIS
                    8.8.5.1 Text-To-Speech (TTS) Conversion
                    8.8.5.2 Emotive & Expressive TTS
    8.9 MACHINE TRANSLATION 
           8.9.1 MACHINE TRANSLATION TO FACILITATE COMMUNICATION AND BREAK DOWN LANGUAGE BARRIERS ACROSS VARIOUS DOMAINS
                    TABLE 81 MACHINE TRANSLATION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 82 MACHINE TRANSLATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.9.2 NEURAL MACHINE TRANSLATION (NMT)
                    8.9.2.1 Language Pair-specific NMT
                    8.9.2.2 Domain-specific NMT
           8.9.3 STATISTICAL MACHINE TRANSLATION (SMT)
                    8.9.3.1 Phrase-based SMT
                    8.9.3.2 Rule-based SMT
    8.10 OTHER APPLICATIONS 
           TABLE 83 OTHER APPLICATIONS: MARKET, BY REGION, 2017–2022 (USD MILLION)
           TABLE 84 OTHER APPLICATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY (Page No. - 186)
    9.1 INTRODUCTION 
           9.1.1 TECHNOLOGY: MARKET DRIVERS
                    FIGURE 45 IMAGE & PATTERN RECOGNITION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 85 MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 86 MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
    9.2 OPTICAL CHARACTER RECOGNITION 
           9.2.1 OPTICAL CHARACTER RECOGNITION TO REVOLUTIONIZE TEXT ANALYSIS AND INFORMATION EXTRACTION
                    TABLE 87 OPTICAL CHARACTER RECOGNITION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 88 OPTICAL CHARACTER RECOGNITION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.3 INTERACTIVE VOICE RESPONSE 
           9.3.1 INTERACTIVE VOICE RESPONSE TO ENHANCE CUSTOMER SERVICE AND USER EXPERIENCES
                    TABLE 89 INTERACTIVE VOICE RESPONSE: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 90 INTERACTIVE VOICE RESPONSE: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.4 AUTO CODING 
           9.4.1 AUTO CODING TO STREAMLINE DATA ANALYSIS AND INFORMATION RETRIEVAL
                    TABLE 91 AUTO CODING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 92 AUTO CODING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.5 TEXT ANALYTICS 
           9.5.1 TEXT ANALYTICS TO EMPOWER INFORMED DECISION-MAKING WITH TEXT MINING
                    TABLE 93 TEXT ANALYTICS: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 94 TEXT ANALYTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
           9.5.2 ENTITY RECOGNITION
                    9.5.2.1 Named Entity Recognition (NER)
                    9.5.2.2 Entity Linking and Disambiguation
           9.5.3 TOPIC MODELING
                    9.5.3.1 Latent Dirichlet Allocation (LDA)
                    9.5.3.2 Non-negative Matrix Factorization (NMF)
           9.5.4 TEXT CLASSIFICATION
                    9.5.4.1 Binary Classification
                    9.5.4.2 Multi-class Classification
    9.6 SPEECH ANALYTICS 
           9.6.1 SPEECH ANALYTICS TO TRANSFORM CUSTOMER SERVICE AND BUSINESS INTELLIGENCE
                    TABLE 95 SPEECH ANALYTICS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 96 SPEECH ANALYTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.7 IMAGE & PATTERN RECOGNITION 
           9.7.1 IMAGE & PATTERN RECOGNITION TO BRIDGE GAP BETWEEN TEXT AND IMAGES
                    TABLE 97 IMAGE & PATTERN RECOGNITION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 98 IMAGE & PATTERN RECOGNITION: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.8 SIMULATION & MODELING 
           9.8.1 SIMULATION & MODELING TO ENABLE CREATION OF VIRTUAL LANGUAGE-BASED ENVIRONMENT
                    TABLE 99 SIMULATION & MODELLING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 100 SIMULATION & MODELLING: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
10 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL (Page No. - 200)
     10.1 INTRODUCTION 
             10.1.1 VERTICAL: MARKET DRIVERS
                       TABLE 101 MAJOR USE CASES, BY VERTICAL
                       FIGURE 46 HEALTHCARE & LIFE SCIENCES VERTICAL TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 102 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 103 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
     10.2 BFSI 
               TABLE 104 BFSI: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 105 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.2.1 FRAUD DETECTION
                       10.2.1.1 Transaction Fraud Detection
                       10.2.1.2 Identity Fraud Detection
             10.2.2 ALGORITHMIC TRADING
                       10.2.2.1 Stock Price Prediction Diagnosis
                       10.2.2.2 Trading Strategy Optimization
             10.2.3 RISK ASSESSMENT
                       10.2.3.1 Credit Scoring
                       10.2.3.2 Insurance Underwriting
     10.3 IT & ITES 
               TABLE 106 IT & ITES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 107 IT & ITES: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.3.1 HELP DESK & IT SUPPORT SERVICES
             10.3.2 CODE REVIEW & DOCUMENTATION
     10.4 RETAIL & ECOMMERCE 
               TABLE 108 RETAIL & ECOMMERCE: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 109 RETAIL & ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.4.1 PRODUCT RECOMMENDATION
                       10.4.1.1 Personalized Product Recommendation
                       10.4.1.2 Cross-selling and Upselling
             10.4.2 SEARCH ENGINE OPTIMIZATION
                       10.4.2.1 Enhanced Search Algorithm
                       10.4.2.2 Voice-enabled Shopping
             10.4.3 CUSTOMER SUPPORT & ENGAGEMENT
                       10.4.3.1 Chatbots for Customer Queries
                       10.4.3.2 Personalized Shopping Assistance
             10.4.4 INVENTORY MANAGEMENT
                       10.4.4.1 Demand Forecasting
                       10.4.4.2 Stock-level Optimization
             10.4.5 MARKET RESEARCH & COMPETITIVE ANALYSIS
                       10.4.5.1 Consumer Sentiment Analysis
                       10.4.5.2 Competitor Price Monitoring
     10.5 HEALTHCARE & LIFE SCIENCES 
               TABLE 110 HEALTHCARE & LIFE SCIENCES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 111 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.5.1 CLINICAL DOCUMENTATION
                       10.5.1.1 EHR Analysis
                       10.5.1.2 Medical Coding
             10.5.2 MEDICAL DIAGNOSIS
                       10.5.2.1 Disease Diagnosis
                       10.5.2.2 Treatment Recommendation
             10.5.3 PHARMACEUTICALS
                       10.5.3.1 Drug Discovery
                       10.5.3.2 Pharmacovigilance & Drug Safety
             10.5.4 PATIENT CARE
                       10.5.4.1 Virtual Health Assistants
                       10.5.4.2 Telemedicine Support
     10.6 TRANSPORTATION & LOGISTICS 
               TABLE 112 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 113 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.6.1 ROUTE OPTIMIZATION
                       10.6.1.1 Efficient Logistics Planning
                       10.6.1.2 Traffic Analysis
             10.6.2 FLEET MANAGEMENT
                       10.6.2.1 Predictive Maintenance
                       10.6.2.2 Driver Behavior Analysis
     10.7 GOVERNMENT & PUBLIC SECTOR 
               TABLE 114 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 115 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.7.1 PUBLIC SERVICES
                       10.7.1.1 Citizen Interaction & Support
                       10.7.1.2 Administrative Document Processing
             10.7.2 SECURITY & INTELLIGENCE
                       10.7.2.1 Text Analysis for Threat Detection
                       10.7.2.2 Intelligent Report Summarization
     10.8 MEDIA & ENTERTAINMENT 
               TABLE 116 MEDIA & ENTERTAINMENT: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 117 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.8.1 CONTENT PERSONALIZATION
                       10.8.1.1 Recommendation Engine
                       10.8.1.2 Content Tagging & Curation
             10.8.2 NEWS & CONTENT ANALYSIS
                       10.8.2.1 Automated News Summarization
                       10.8.2.2 Trend Analysis
     10.9 MANUFACTURING 
               TABLE 118 MANUFACTURING: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 119 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)
             10.9.1 QUALITY CONTROL
                       10.9.1.1 Defect Detection in Production
                       10.9.1.2 Automated Inspection
             10.9.2 SUPPLY CHAIN OPTIMIZATION
                       10.9.2.1 Demand Forecasting
                       10.9.2.2 Supplier Communication
     10.10 TELECOM 
               TABLE 120 TELECOM: MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 121 TELECOM: MARKET, BY REGION, 2023–2028 (USD MILLION)
               10.10.1 NETWORK MONITORING & MAINTENANCE
               10.10.2 AUTOMATED CUSTOMER SERVICE
     10.11 OTHER VERTICALS 
                       TABLE 122 OTHER VERTICALS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 123 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
11 NATURAL LANGUAGE PROCESSING MARKET, BY REGION (Page No. - 235)
     11.1 INTRODUCTION 
               FIGURE 47 INDIA TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
               FIGURE 48 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
               TABLE 124 MARKET, BY REGION, 2017–2022 (USD MILLION)
               TABLE 125 MARKET, BY REGION, 2023–2028 (USD MILLION)
     11.2 NORTH AMERICA 
             11.2.1 NORTH AMERICA: MARKET DRIVERS
             11.2.2 NORTH AMERICA: IMPACT OF RECESSION
                       FIGURE 49 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 126 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 127 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
                       TABLE 128 NORTH AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 129 NORTH AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 130 NORTH AMERICA: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 131 NORTH AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 132 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 133 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 134 NORTH AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 135 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 136 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 137 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 138 NORTH AMERICA: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 139 NORTH AMERICA: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 140 NORTH AMERICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 141 NORTH AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 142 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 143 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 144 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 145 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             11.2.3 US
                       11.2.3.1 Presence of leading tech companies and consciousness of AI to propel market
                                   TABLE 146 US: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 147 US: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.2.4 CANADA
                       11.2.4.1 Focus on AI and government investment to adopt new digital economy to drive market
                                   TABLE 148 CANADA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 149 CANADA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
     11.3 EUROPE 
             11.3.1 EUROPE: MARKET DRIVERS
             11.3.2 EUROPE: IMPACT OF RECESSION
                       TABLE 150 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 151 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
                       TABLE 152 EUROPE: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 153 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 154 EUROPE: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 155 EUROPE: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 156 EUROPE: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 157 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 158 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 159 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 160 EUROPE: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 161 EUROPE: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 162 EUROPE: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 163 EUROPE: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 164 EUROPE: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 165 EUROPE: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 166 EUROPE: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 167 EUROPE: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 168 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 169 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             11.3.3 UK
                       11.3.3.1 Government investments, initiatives, and strict regulations to boost demand for NLP solutions
                                   TABLE 170 UK: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 171 UK: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.3.4 GERMANY
                       11.3.4.1 Highly skilled labor force and strong infrastructure to boost demand for NLP solutions
                                   TABLE 172 GERMANY: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 173 GERMANY: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.3.5 FRANCE
                       11.3.5.1 Surge in AI startups due to significant capital inflow from investors to propel market
                                   TABLE 174 FRANCE: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 175 FRANCE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.3.6 SPAIN
                       11.3.6.1 Commitment to scientific and academic exchange in entrepreneurial sector to drive market
                                   TABLE 176 SPAIN: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 177 SPAIN: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.3.7 REST OF EUROPE
                       TABLE 178 REST OF EUROPE: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 179 REST OF EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
     11.4 ASIA PACIFIC 
             11.4.1 ASIA PACIFIC: MARKET DRIVERS
             11.4.2 ASIA PACIFIC: IMPACT OF RECESSION
                       FIGURE 50 ASIA PACIFIC: MARKET SNAPSHOT
                       TABLE 180 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
                       TABLE 181 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2023–2028 (USD MILLION)
                       TABLE 182 ASIA PACIFIC: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 183 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 184 ASIA PACIFIC: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 185 ASIA PACIFIC: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 186 ASIA PACIFIC: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 187 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 188 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 189 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 190 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 191 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 192 ASIA PACIFIC: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 193 ASIA PACIFIC: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 194 ASIA PACIFIC: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 195 ASIA PACIFIC: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 196 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 197 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 198 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 199 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             11.4.3 CHINA
                       11.4.3.1 Development of chatbots, virtual assistants, and smart devices to fuel demand for NLP solutions
                                   TABLE 200 CHINA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 201 CHINA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.4.4 JAPAN
                       11.4.4.1 Advanced technological infrastructure to fuel demand for NLP solutions
                                   TABLE 202 JAPAN: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 203 JAPAN: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.4.5 INDIA
                       11.4.5.1 Availability of skilled workforce at reasonable costs, development of infrastructure, technological capabilities, and government support to propel market
                                   TABLE 204 INDIA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 205 INDIA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.4.6 ASEAN COUNTRIES
                       11.4.6.1 Presence of big tech companies and funding from multinational corporations to drive market
                                   TABLE 206 ASEAN COUNTRIES: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 207 ASEAN COUNTRIES: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.4.7 REST OF ASIA PACIFIC
                                   TABLE 208 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 209 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
     11.5 MIDDLE EAST & AFRICA 
             11.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             11.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION
                       TABLE 210 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
                       TABLE 211 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY/REGION, 2023–2028 (USD MILLION)
                       TABLE 212 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 213 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 214 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 215 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 216 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 217 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 218 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 219 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 220 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 221 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 222 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 223 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 224 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 225 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 226 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 227 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 228 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 229 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             11.5.3 KSA
                       11.5.3.1 Technological advancement and economic diversification through Vision 2030 initiative to drive market
                                   TABLE 230 KSA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 231 KSA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.5.4 UAE
                       11.5.4.1 Implementation of National Artificial Intelligence Strategy 2031 to drive market
                                   TABLE 232 UAE: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 233 UAE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.5.5 SOUTH AFRICA
                       11.5.5.1 Strong focus on research & development and implementing the National Development Plan (NDP) and vision for 2023 to propel market
                                   TABLE 234 SOUTH AFRICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 235 SOUTH AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.5.6 REST OF MIDDLE EAST & AFRICA
                       TABLE 236 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 237 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
     11.6 LATIN AMERICA 
             11.6.1 LATIN AMERICA: MARKET DRIVERS
             11.6.2 LATIN AMERICA: IMPACT OF RECESSION
                       TABLE 238 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 239 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
                       TABLE 240 LATIN AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 241 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 242 LATIN AMERICA: MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                       TABLE 243 LATIN AMERICA: MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                       TABLE 244 LATIN AMERICA: MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 245 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
                       TABLE 246 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 247 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
                       TABLE 248 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2017–2022 (USD MILLION)
                       TABLE 249 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2023–2028 (USD MILLION)
                       TABLE 250 LATIN AMERICA: MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 251 LATIN AMERICA: MARKET, BY TYPE, 2023–2028 (USD MILLION)
                       TABLE 252 LATIN AMERICA: MARKET, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 253 LATIN AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                       TABLE 254 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 255 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 256 LATIN AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 257 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             11.6.3 BRAZIL
                       11.6.3.1 Government initiatives including digital transformation strategies and policies to drive market
                                   TABLE 258 BRAZIL: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 259 BRAZIL: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.6.4 MEXICO
                       11.6.4.1 Increasing government support for emerging technologies to propel demand for NLP solutions
                                   TABLE 260 MEXICO: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                   TABLE 261 MEXICO: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
             11.6.5 REST OF LATIN AMERICA
                       TABLE 262 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 263 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
 
12 COMPETITIVE LANDSCAPE (Page No. - 300)
     12.1 OVERVIEW 
     12.2 STRATEGIES ADOPTED BY KEY PLAYERS 
               TABLE 264 OVERVIEW OF STRATEGIES ADOPTED BY KEY NLP VENDORS
     12.3 REVENUE ANALYSIS 
             12.3.1 BUSINESS SEGMENT REVENUE ANALYSIS
                       FIGURE 51 BUSINESS SEGMENT REVENUE ANALYSIS OF TOP FIVE LEADING PLAYERS, 2020–2022 (USD MILLION)
     12.4 MARKET SHARE ANALYSIS 
               FIGURE 52 NATURAL LANGUAGE PROCESSING MARKET SHARE ANALYSIS, 2020–2022
               TABLE 265 MARKET: INTENSITY OF COMPETITIVE RIVALRY
     12.5 COMPANY EVALUATION MATRIX FOR KEY PLAYERS 
             12.5.1 STARS
             12.5.2 EMERGING LEADERS
             12.5.3 PERVASIVE PLAYERS
             12.5.4 PARTICIPANTS
                       FIGURE 53 MARKET: KEY COMPANY EVALUATION MATRIX, 2023
     12.6 COMPETITIVE BENCHMARKING FOR KEY PLAYERS 
             12.6.1 COMPANY PRODUCT FOOTPRINT
                       FIGURE 54 PRODUCT PORTFOLIO ANALYSIS OF TOP PLAYERS
                       TABLE 266 COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2023
     12.7 COMPANY EVALUATION MATRIX FOR STARTUPS/SMES 
             12.7.1 PROGRESSIVE COMPANIES
             12.7.2 RESPONSIVE COMPANIES
             12.7.3 DYNAMIC COMPANIES
             12.7.4 STARTING BLOCKS
                       FIGURE 55 NATURAL LANGUAGE PROCESSING MARKET: STARTUPS/SMES EVALUATION MATRIX, 2023
     12.8 COMPETITIVE BENCHMARKING FOR STARTUPS/SMES 
               TABLE 267 COMPETITIVE BENCHMARKING OF SMES/STARTUPS, 2023
               TABLE 268 DETAILED LIST OF KEY SMES/STARTUPS
     12.9 BRAND/PRODUCT COMPARATIVE ANALYSIS 
             12.9.1 COMPARATIVE ANALYSIS OF NATURAL LANGUAGE PROCESSING PRODUCTS
                       TABLE 269 COMPARATIVE ANALYSIS OF NATURAL LANGUAGE PROCESSING PRODUCTS
     12.10 VALUATION AND FINANCIAL METRICS OF KEY VENDORS 
               FIGURE 56 VALUATION AND FINANCIAL METRICS OF KEY VENDORS
     12.11 COMPANY FINANCIAL METRICS 
                       FIGURE 57 COMPANY FINANCIAL METRICS, 2023
     12.12 COMPETITIVE SCENARIO AND TRENDS 
               12.12.1 NEW PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 270 PRODUCT LAUNCHES AND ENHANCEMENTS, 2020–2023
               12.12.2 DEALS
                       TABLE 271 DEALS, 2020–2023
               12.12.3 OTHERS
                       TABLE 272 OTHERS, 2020–2023
 
13 COMPANY PROFILES (Page No. - 324)
(Business overview, Products/Solutions/Services offered, Recent Developments, MnM view, Right to win, Strategic choices, Weaknesses and competitive threats)*
     13.1 INTRODUCTION 
     13.2 KEY PLAYERS 
             13.2.1 IBM
                       TABLE 273 IBM: BUSINESS OVERVIEW
                       FIGURE 58 IBM: COMPANY SNAPSHOT
                       TABLE 274 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 275 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 276 IBM: DEALS
                       TABLE 277 IBM: OTHERS
             13.2.2 MICROSOFT
                       TABLE 278 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 59 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 279 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 280 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 281 MICROSOFT: DEALS
             13.2.3 GOOGLE
                       FIGURE 60 GOOGLE: COMPANY SNAPSHOT
             13.2.4 AWS
                       TABLE 287 AWS: BUSINESS OVERVIEW
                       FIGURE 61 AWS: COMPANY SNAPSHOT
                       TABLE 288 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 289 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 291 AWS: OTHERS
             13.2.5 META
                       TABLE 292 META: BUSINESS OVERVIEW
                       FIGURE 62 META: COMPANY SNAPSHOT
                       TABLE 293 META: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 294 META: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 295 META: DEALS
             13.2.6 3M
                       TABLE 296 3M: BUSINESS OVERVIEW
                       FIGURE 63 3M: COMPANY SNAPSHOT
                       TABLE 297 3M: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 298 3M: DEALS
             13.2.7 BAIDU
                       TABLE 299 BAIDU: BUSINESS OVERVIEW
                       FIGURE 64 BAIDU: COMPANY SNAPSHOT
                       TABLE 300 BAIDU: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 301 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 302 BAIDU: DEALS
             13.2.8 APPLE
                       TABLE 303 APPLE: BUSINESS OVERVIEW
                       FIGURE 65 APPLE: COMPANY SNAPSHOT
                       TABLE 304 APPLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 305 APPLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 306 APPLE: DEALS
             13.2.9 SAS INSTITUTE
                       TABLE 307 SAS INSTITUTE: BUSINESS OVERVIEW
                       TABLE 308 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 309 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 310 SAS INSTITUTE: DEALS
             13.2.10 ORACLE
                       TABLE 311 ORACLE: BUSINESS OVERVIEW
                       FIGURE 66 ORACLE: COMPANY SNAPSHOT
                       TABLE 312 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 313 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 314 ORACLE: DEALS
             13.2.11 SALESFORCE
                       TABLE 315 SALESFORCE: BUSINESS OVERVIEW
                       FIGURE 67 SALESFORCE: COMPANY SNAPSHOT
                       TABLE 316 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 317 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 318 SALESFORCE: DEALS
                       TABLE 319 SALESFORCE: OTHERS
             13.2.12 OPENAI
                       TABLE 320 OPENAI: BUSINESS OVERVIEW
                       TABLE 321 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 322 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 323 OPENAI: DEALS
                       TABLE 324 OPENAI: OTHERS
             13.2.13 IQVIA
                       TABLE 325 IQVIA: BUSINESS OVERVIEW
                       FIGURE 68 IQVIA: COMPANY SNAPSHOT
                       TABLE 326 IQVIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 327 IQVIA: DEALS
             13.2.14 LIVEPERSON
                       TABLE 328 LIVEPERSON: BUSINESS OVERVIEW
                       FIGURE 69 LIVEPERSON: COMPANY SNAPSHOT
                       TABLE 329 LIVEPERSON: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 330 LIVEPERSON: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 331 LIVEPERSON: DEALS
             13.2.15 SOUNDHOUND AI
                       TABLE 332 SOUNDHOUND AI: BUSINESS OVERVIEW
                       FIGURE 70 SOUNDHOUND AI: COMPANY SNAPSHOT
                       TABLE 333 SOUNDHOUND AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 334 SOUNDHOUND AI: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 335 SOUNDHOUND AI: DEALS
             13.2.16 DOLBEY
                       TABLE 336 DOLBEY: BUSINESS OVERVIEW
                       TABLE 337 DOLBEY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 338 DOLBEY: DEALS
             13.2.17 INBENTA
             13.2.18 VERITONE
             13.2.19 MINDMELD, INC
             13.2.20 AUTOMATED INSIGHTS
             3.2.21 BITEXT
             13.2.22 CONVERSICA
             13.2.23 UIPATH
*Details on Business overview, Products offered, Recent Developments, MNM view, Key strengths, Strategic choices, Weaknesses and competitive threats might not be captured in case of unlisted companies.
     13.3 STARTUPS/SMES 
             13.3.1 ADDEPTO
             13.3.2 RAGAVERA
             13.3.3 OBSERVE.AI
             13.3.4 EIGEN TECHNOLOGIES
             13.3.5 GNANI.AI
             13.3.6 CRAYON DATA
             13.3.7 NARRATIVA
             13.3.8 DEEPSET
             13.3.9 ELLIPSIS HEALTH
             13.3.10 DHEEYANTRA
             13.3.11 VERBIT.AI
             13.3.12 RASA
             13.3.13 TEXTRAZOR
             13.3.14 MONKEYLEARN
             13.3.15 COHERE
 
14 ADJACENT AND RELATED MARKETS (Page No. - 417)
     14.1 INTRODUCTION 
             14.1.1 CONVERSATIONAL AI MARKET – GLOBAL FORECAST TO 2028
                       14.1.1.1 Market definition
                       14.1.1.2 Market overview
                                   TABLE 339 GLOBAL CONVERSATIONAL AI MARKET SIZE AND GROWTH RATE, 2018–2022 (USD MILLION, Y-O-Y%)
                                   TABLE 340 GLOBAL CONVERSATIONAL AI MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y%)
                                   14.1.1.2.1 Conversational AI Market, By Offering
                                                 TABLE 341 CONVERSATIONAL AI MARKET, BY OFFERING, 2018–2022 (USD MILLION)
                                                 TABLE 342 CONVERSATIONAL AI MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                                   14.1.1.2.2 Conversational AI Services Market, By Type
                                                 TABLE 343 CONVERSATIONAL AI SERVICES MARKET, BY TYPE, 2018–2022 (USD MILLION)
                                                 TABLE 344 CONVERSATIONAL AI SERVICES MARKET, BY TYPE, 2023–2028 (USD MILLION)
                                   14.1.1.2.3 Conversational AI Market, By Business Function
                                                 TABLE 345 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2018–2022 (USD MILLION)
                                                 TABLE 346 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
                                   14.1.1.2.4 Conversational AI Market, By Channel
                                                 TABLE 347 CONVERSATIONAL AI MARKET, BY CHANNEL, 2018–2022 (USD MILLION)
                                                 TABLE 348 CONVERSATIONAL AI MARKET, BY CHANNEL, 2023–2028 (USD MILLION)
                                   14.1.1.2.5 Conversational AI Market, By Conversational Interface
                                                 TABLE 349 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2018–2022 (USD MILLION)
                                                 TABLE 350 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL INTERFACE, 2023–2028 (USD MILLION)
                                   14.1.1.2.6 Conversational AI Market, By Technology
                                                 TABLE 351 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2018–2022 (USD MILLION)
                                                 TABLE 352 CONVERSATIONAL AI MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                                   14.1.1.2.7 Conversational AI Market, By Vertical
                                                 TABLE 353 CONVERSATIONAL AI MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
                                                 TABLE 354 CONVERSATIONAL AI MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                                   14.1.1.2.8 Conversational AI Market, By Region
                                                 TABLE 355 CONVERSATIONAL AI MARKET, BY REGION, 2018–2022 (USD MILLION)
                                                 TABLE 356 CONVERSATIONAL AI MARKET, BY REGION, 2023–2028 (USD MILLION)
             14.1.2 CHATBOT MARKET – GLOBAL FORECAST TO 2028
                       14.1.2.1 Market definition
                       14.1.2.2 Market overview
                                   TABLE 357 GLOBAL CHATBOT MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y %)
                                   TABLE 358 GLOBAL CHATBOT MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %)
                                   14.1.2.2.1 Chatbot Market, By Offering
                                                 TABLE 359 CHATBOT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                                                 TABLE 360 CHATBOT MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                                   14.1.2.2.2 Chatbot Market, By Solution
                                                 TABLE 361 CHATBOT MARKET, BY SOLUTION, 2017–2022 (USD MILLION)
                                                 TABLE 362 CHATBOT MARKET, BY SOLUTION, 2023–2028 (USD MILLION)
                                   14.1.2.2.3 Chatbot Market, By Service
                                                 TABLE 363 SERVICES: CHATBOT MARKET, BY TYPE, 2017–2022 (USD MILLION)
                                                 TABLE 364 SERVICES: CHATBOT MARKET, BY TYPE, 2023–2028 (USD MILLION)
                                   14.1.2.2.4 Chatbot Market, By Type
                                                 TABLE 365 CHATBOT MARKET, BY TYPE, 2017–2022 (USD MILLION)
                                                 TABLE 366 CHATBOT MARKET, BY TYPE, 2023–2028 (USD MILLION)
                                   14.1.2.2.5 Chatbot Market, By Channel Integration
                                                 TABLE 367 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2017–2022 (USD MILLION)
                                                 TABLE 368 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2023–2028 (USD MILLION)
                                   14.1.2.2.6 Chatbot Market, By Bot Communication
                                                 TABLE 369 CHATBOT MARKET, BY BOT COMMUNICATION, 2017–2022 (USD MILLION)
                                                 TABLE 370 CHATBOT MARKET, BY BOT COMMUNICATION, 2023–2028 (USD MILLION)
                                   14.1.2.2.7 Chatbot Market, By Business Function
                                                 TABLE 371 CHATBOT MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                                                 TABLE 372 CHATBOT MARKET, BY BUSINESS FUNCTION, 2023–2028 (USD MILLION)
                                   14.1.2.2.8 Chatbot Market, By Vertical
                                                 TABLE 373 CHATBOT MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                                                 TABLE 374 CHATBOT MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                                   14.1.2.2.9 Chatbot Market, By Region
                                                 TABLE 375 CHATBOT MARKET, BY REGION, 2017–2022 (USD MILLION)
                                                 TABLE 376 CHATBOT MARKET, BY REGION, 2023–2028 (USD MILLION)
 
15 APPENDIX (Page No. - 437)
     15.1 DISCUSSION GUIDE 
     15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     15.3 CUSTOMIZATION OPTIONS 
     15.4 RELATED REPORTS 
     15.5 AUTHOR DETAILS 

The research study for the NLP market involved extensive secondary sources, directories, and several journals, including the Journal of the American Medical Informatics Association and The Association for Natural Language Processing Providers. Primary sources were mainly industry experts from the core and related industries, preferred NLP, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

The market size of companies offering NLP solutions and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendor websites. Additionally, NLP spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to solutions, services, deployment modes, functionality, applications, verticals, and regions, and key developments from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the 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 Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and NLP expertise; related key executives from NLP solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using NLP solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of NLP solutions and services, which would impact the overall NLP market.

The following is the breakup of primary profiles:

Natural Language Processing (NLP) Market Size, and Share

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Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the NLP market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.

Market Size Estimation Methodology- Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the NLP market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of solutions and services, deployment modes, applications, and verticals. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of NLP solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of NLP solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the NLP market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major NLP providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall natural language processing market market size and segments’ size were determined and confirmed using the study.

Top-down and Bottom-up approaches

Natural Language Processing (NLP) Market Size, and Share

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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.

Market Definition

According to IBM, Natural Language Processing (NLP) refers to the branch of computer science—and more specifically, the branch of artificial intelligence or AI concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. NLP combines computational linguistics rule-based modeling of human language with statistical, machine learning, and deep learning models.

According to the SAS Institute, NLP is a branch of artificial intelligence that helps computers understand, interpret, and manipulate human language. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.

As per Google, NLP uses ML techniques to reveal the structure and meaning of the text. With natural language processing applications, organizations can analyze text and extract information about people, places, and events to understand social media sentiment and customer conversations better. NLP applications are used to derive insights from unstructured text-based data and give you access to extracted information to generate a new understanding of that data.

Stakeholders

  • NLP Vendors
  • NLP Solution Vendors
  • Managed Service Providers
  • Support And Maintenance Service Providers
  • System Integrators (SIs)/Migration Service Providers
  • Value-added Resellers (VARs) and Distributors
  • Distributors and Value-added Resellers (VARs)
  • System Integrators (SIs)
  • Independent Software Vendors (ISV)
  • Third-party Providers
  • Technology Providers

Report Objectives

  • To define, describe, and predict the Natural Language Processing (NLP) market by offering (solutions and services), type, application, technology, organization size, vertical, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To profile 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

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 as per Feasibility

  • Further breakup of the North American Natural Language Processing Market
  • Further breakup of the European Market
  • Further breakup of the Asia Pacific Market
  • Further breakup of the Middle East & Africa Market
  • Further breakup of the Latin American Market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
Custom Market Research Services

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Report Code
TC 3492
Published ON
Sep, 2023
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