시장보고서
상품코드
1114604

세계의 자연언어처리(NLP) 시장 : 구성요소별(솔루션, 서비스), 용도별(감정 분석, 소셜미디어 모니터링), 기술별(IVR, OCR, 자동 코딩), 업종별(은행/금융서비스/보험(BFSI), 소매업/E-Commerce, IT/ITeS), 지역별 예측(2027년)

Natural Language Processing (NLP) Market by Component (Solutions & Services), Application (Sentiment Analysis, Social Media Monitoring), Technology (IVR, OCR, Auto Coding), Vertical (BFSI, Retail & eCommerce, IT & ITES) & Region -Global Forecast -2027

발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 323 Pages | 배송안내 : 즉시배송

※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

자연언어처리(NLP) 시장 규모는 2022년 157억 달러에서 2027년에는 494억 달러에 달하고, 예측 기간에 25.7%의 연평균 복합 성장률(CAGR)을 나타낼 것으로 예상됩니다..

리스크 감소와 성장 기회 특정을 목적으로 한 예측 분석 요구 증가, 클라우드 기반 NLP 솔루션에 대한 수요 증가, 빅데이터 기술의 발전 등 다양한 요인이 NLP 채택을 가속할 것으로 예상됩니다.

목차

제1장 서론

제2장 조사 방법

제3장 개요

제4장 프리미엄 인사이트

제5장 시장 인사이트

  • 시장 역학
    • 성장 촉진요인
    • 성장 억제요인
    • 기회
  • 해결해야 할 과제
  • COVID-19의 누적 영향

    제6장 자연언어처리(NLP) 시장 : 구성요소별

    • 서론
    • 솔루션
      • 플랫폼
      • 소프트웨어 툴
    • 서비스
      • 전문 서비스
      • 매니지드 서비스

    제7장 자연언어처리(NLP) 시장 : 유형별

    • 서론
    • 룰 기반
    • 통계
    • 하이브리드

    제8장 자연언어처리(NLP) 시장 : 전개 방식별

    • 서론
    • 온프레미스
    • 클라우드

    제9장 자연언어처리(NLP) 시장 : 조직 규모별

    • 서론
    • 중소기업
    • 대기업

    제10장 자연언어처리(NLP) 시장 : 용도별

    • 서론
    • 고객 경험(CX) 관리
    • 가상 비서/챗봇
    • 소셜미디어 모니터링
    • 감정 분석
    • 텍스트 분류 및 요약
    • 직원 온보딩 및 모집
    • 기타 용도

    제11장 자연언어처리(NLP) 시장 : 기술별

    • 서론
    • OCR
    • IVR(음성자동응답)
    • 자동 코딩
    • 텍스트 분석
    • 음성 분석
    • 영상 및 패턴 인식
    • 시뮬레이션 및 모델링

    제12장 자연언어처리(NLP) 시장 : 업종별

    • 서론
    • 은행/금융서비스/보험(BFSI)
    • IT/ITeS
    • 소매업/E-Commerce
    • 의료/생명과학
    • 운송/물류
    • 정부/공공 부문
    • 미디어/엔터테인먼트
    • 제조업
    • 기타 업종

    제13장 자연언어처리(NLP) 시장 : 지역별

    • 서론
    • 북미
      • 미국
      • 캐나다
    • 유럽
      • 영국
      • 독일
      • 프랑스
      • 스페인
      • 기타 유럽 국가
    • 아시아태평양
      • 중국
      • 일본
      • 인도
      • ASEAN 국가
      • 기타 아시아태평양 국가
    • 중동 및 아프리카
      • 사우디아라비아 왕국
      • 아랍에미리트(UAE)
      • 남아프리카공화국
      • 기타 중동 및 아프리카 국가
    • 라틴아메리카
      • 브라질
      • 멕시코
      • 기타 라틴아메리카 국가

    제14장 경쟁 구도

    • 개요
    • 주요 기업 전략
    • 매출 분석
      • 과거 매출 분석
    • 시장 점유율 분석
    • 시장 평가 프레임워크
    • 주요 기업 평가 쿼드런트
    • 경쟁 벤치마킹
    • 스타트업/중소기업 평가 쿼드런트
    • 스타트업/중소기업 경쟁 벤치마킹
    • 경쟁 시나리오와 동향
      • 신제품 발매와 기능 강화
      • 자본거래

    제15장 기업 개요

    • 서론
    • 주요 기업
      • IBM
      • MICROSOFT
      • GOOGLE
      • AWS
      • META
      • 3M
      • BAIDU
      • APPLE
      • SAS INSTITUTE
      • IQVIA
      • ORACLE
      • INBENTA
      • HEALTH FIDELITY
      • LIVEPERSON
      • SOUNDHOUND
      • MINDMELD
      • VERITONE
      • DOLBEY
      • AUTOMATED INSIGHTS
      • BITEXT
      • CONVERSICA
    • 스타트업/중소기업
      • ADDEPTO
      • RAGAVERA
      • OBSERVE.AI
      • EIGEN TECHNOLOGIES
      • GNANI.AI
      • CRAYON DATA
      • NARRATIVA
      • DEEPSET
      • ELLIPSIS HEALTH
      • DHEEYANTRA

    제16장 인접 시장 및 관련 시장

    • 서론
    • 회화형 AI 시장 : 세계 시장 예측(-2026년)
    • 챗봇 시장 : 세계 시장 예측(-2026년)

    제17장 부록

    LSH 22.08.24

    The natural language processing (NLP) market size to grow from USD 15.7 billion in 2022 to USD 49.4 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 25.7% during the forecast period. Various factors such as increasing need for predictive analytics to reduce risks and identify growth opportunities, rising demand for cloud-based NLP solutions, and advancements in big data technologies are expected to drive the adoption of NLP.

    NLP leverages ML-based techniques to derive the meaningful insights from the text so that the organizations can analyze and extract information related to customers, location. Moreover, the NLP-based solutions offers organizations to recognize events to better understand customer sentiments and their conversations across social media channel. NLP-based business applications are used to derive insights from unstructured voice or audio data and deliver users the visibility to extract vital information to enhance customer experience and reduce overall operational costs.

    Factors such as advancements in computer programs that analyze text, rise in 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, greater urge for predictive analytics to reduce risks and identify growth opportunities, surge in the developments of big data technology for actionable business intelligence, and increase in investments across healthcare are some of the factors driving the growth of NLP market. Organizations across the globe are dedicatedly investing in AI and ML technologies to improve user experience and stay competitive in the changing market environment.

    The platform segment to register for the highest CAGR during the forecast period

    Based on solutions, the NLP market is segmented into software tools and platform. The CAGR of the platform segment is estimated to be the highest during the forecast period. Platform providers in the NLP market provide users with a tool kit to create and deploy AI applications for analyzing speech and text data. NLP platforms help build document search, text summarization, and sentiment analysis. Microsoft offers Azure, which is a managed bot-building platform that uses NLP technology to offer users the ability to develop, deploy, and host a chatbot in an uncomplicated manner.

    The Managed Services to record the highest CAGR during forecast period

    Based on services, the NLP market is segmented into professional services and managed services. The managed services segment is expected grow at a higher CAGR during the forecast period. Managed services mainly deal with client experiences. The managed services offer specialized skills to maintain and update NLP software and services. All pre-and post-deployment questions and needs of clients are covered under the managed services. Managed Service Providers (MSPs) consist of third-party companies that manage and provide support to the IT infrastructure of NLP providers under a subscription model or Service-Level Agreement (SLA).

    Asia Pacific to hold highest CAGR during the forecast period

    The Asia Pacific NLP market is expected to grow at the highest CAGR during the forecast period owing to the growing industrialization in this region. Countries such as China, Japan, and India are leveraging advanced AI technologies, and NLP is one of the leading technology trends adopted across key industry verticals. IBM, Google, and AWS are the key vendors operating in the market in the region, along with several other significant NLP solutions and service providers. The adoption of AI technologies by companies across different verticals, such as BFSI, travel, hospitality, and retail, is expected to contribute to the growth of the NLP market across Asia Pacific.

    Breakdown of primaries

    In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the NLP market.

    • By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
    • By Designation: C-Level Executives: 35%, D-Level Executives: 25%, and Managers: 40%
    • By Region: APAC: 25%, Europe: 30%, North America: 30%, MEA: 10%, Latin America: 5%

    The report includes the study of key players offering NLP solutions and services. It profiles major vendors in the NLP market. The major players in the NLP market include IBM (US), Microsoft (US), Google (US), AWS (US), Meta (US), 3M (US), Baidu (China), Apple (US), SAS Institute (US), IQVIA (UK), Oracle (US), Inbenta (US), Health Fidelity (US), LivePerson (US), SoundHound (US), MindMeld (US), Veritone (US), Dolbey (US), Automated Insights (US), Bitext (US), Conversica (US), Addepto (US), RaGaVeRa (India), Observe.ai (US), Eigen (US), Gnani.ai (India), Crayon Data (Singapore), Narrativa (US), deepset (US), Ellipsis Health (US), and DheeYantra (US).

    Research Coverage

    The market study covers the NLP market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as components, type, deployment mode, organization size, application, technology, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

    Key Benefits of Buying the Report

    The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall NLP market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

    TABLE OF CONTENTS

    1 INTRODUCTION

    • 1.1 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
      • 1.3.3 YEARS CONSIDERED
    • 1.4 CURRENCY CONSIDERED
      • TABLE 1 USD EXCHANGE RATES, 2018-2020
    • 1.5 STAKEHOLDERS
    • 1.6 SUMMARY OF CHANGES

    2 RESEARCH METHODOLOGY

    • 2.1 RESEARCH DATA
      • FIGURE 1 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 DATA TRIANGULATION
      • FIGURE 2 DATA TRIANGULATION
    • 2.3 MARKET SIZE ESTIMATION
      • FIGURE 3 NLP MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
      • 2.3.1 TOP-DOWN APPROACH
      • 2.3.2 BOTTOM-UP APPROACH
      • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): FLOWCHART USING REVENUE FROM NLP SOLUTIONS/SERVICES
      • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL NLP SOLUTION/ SERVICE COMPANIES
      • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): REVENUES OF TOP PLAYERS AND SOURCES OF DATA
      • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE THROUGH OVERALL NLP SPENDING
    • 2.4 MARKET FORECAST
      • TABLE 3 FACTOR ANALYSIS
    • 2.5 KEY COMPANY EVALUATION MATRIX METHODOLOGY
      • FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    • 2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
      • FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
    • 2.7 ASSUMPTIONS
    • 2.8 LIMITATIONS

    3 EXECUTIVE SUMMARY

      • TABLE 4 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2016-2021 (USD MILLION, Y-O-Y)
      • TABLE 5 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2022-2027 (USD MILLION, Y-O-Y)
      • FIGURE 10 NATURAL LANGUAGE PROCESSING SOLUTIONS TO BE A LARGER MARKET IN 2022
      • FIGURE 11 SOFTWARE TOOLS TO ACCOUNT FOR A GREATER SHARE AMONG SOLUTIONS IN 2022
      • FIGURE 12 PROFESSIONAL SERVICES TO ACCOUNT FOR A LARGER SERVICE MARKET IN 2022
      • FIGURE 13 SYSTEM INTEGRATION & IMPLEMENTATION TO ACCOUNT FOR THE LARGEST PROFESSIONAL SERVICE SHARE IN 2022
      • FIGURE 14 STATISTICAL TYPE TO ACCOUNT FOR THE LARGEST MARKET IN 2022
      • FIGURE 15 IVR TECHNOLOGY TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2022
      • FIGURE 16 TEXT CLASSIFICATION & SUMMARIZATION TO ACCOUNT FOR THE LARGEST APPLICATION IN 2022
      • FIGURE 17 CLOUD DEPLOYMENT TO BE A LARGER MARKET IN 2022
      • FIGURE 18 LARGE ENTERPRISES TO BE A LARGER MARKET IN 2022
      • FIGURE 19 BFSI VERTICAL TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2022
      • FIGURE 20 ASIA PACIFIC TO GROW AT THE HIGHEST CAGR IN THE NATURAL LANGUAGE PROCESSING MARKET

    4 PREMIUM INSIGHTS

    • 4.1 ATTRACTIVE OPPORTUNITIES IN THE NATURAL LANGUAGE PROCESSING MARKET
      • FIGURE 21 SURGING DEMAND FOR CLOUD-BASED NLP SOLUTIONS TO REDUCE OVERALL COSTS AND ENHANCE SCALABILITY
    • 4.2 NATURAL LANGUAGE PROCESSING MARKET: TOP 3 APPLICATIONS
      • FIGURE 22 EMPLOYEE ONBOARDING & RECRUITING APPLICATION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
    • 4.3 NATURAL LANGUAGE PROCESSING MARKET: BY COMPONENT & KEY VERTICAL
      • FIGURE 23 SOLUTIONS AND BFSI VERTICAL TO ACCOUNT FOR THE LARGEST SHARES RESPECTIVELY IN 2022
    • 4.4 NATURAL LANGUAGE PROCESSING MARKET: BY REGION
      • FIGURE 24 NORTH AMERICA TO ACCOUNT FOR THE LARGEST SHARE IN 2022

    5 MARKET OVERVIEW AND INDUSTRY TRENDS

    • 5.1 INTRODUCTION
    • 5.2 NATURAL LANGUAGE PROCESSING: EVOLUTION
      • FIGURE 25 NATURAL LANGUAGE PROCESSING MARKET EVOLUTION
    • 5.3 NATURAL LANGUAGE PROCESSING: ARCHITECTURE
      • FIGURE 26 NATURAL LANGUAGE PROCESSING MARKET ARCHITECTURE
    • 5.4 MARKET DYNAMICS
      • FIGURE 27 MARKET DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
      • 5.4.1 DRIVERS
        • 5.4.1.1 Advancements in computer programs that analyze text
        • 5.4.1.2 Rise in need for enterprise solutions to streamline business operations for better customer experience
        • 5.4.1.3 Surging demand for cloud-based NLP solutions to reduce overall costs and enhance scalability
        • 5.4.1.4 Greater urge for predictive analytics to reduce risks and identify growth opportunities
      • 5.4.2 RESTRAINTS
        • 5.4.2.1 Lack of contextual understanding leading to ambiguity
        • 5.4.2.2 Complexities due to the usage of code-mixed language while implementing NLP solutions
        • 5.4.2.3 Limitations in the development of NLP technology using neural networks that may restrict the usage of cloud-based services
      • 5.4.3 OPPORTUNITIES
        • 5.4.3.1 Surge in the developments of big data technology for actionable business intelligence
        • 5.4.3.2 Increase in investments across healthcare
      • 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 VALUE CHAIN ANALYSIS
      • FIGURE 28 NATURAL LANGUAGE PROCESSING MARKET: VALUE CHAIN ANALYSIS
    • 5.6 SUPPLY CHAIN ANALYSIS
      • FIGURE 29 NATURAL LANGUAGE PROCESSING MARKET: SUPPLY CHAIN ANALYSIS
      • TABLE 6 NATURAL LANGUAGE PROCESSING MARKET: SUPPLY CHAIN
    • 5.7 CASE STUDY ANALYSIS
      • 5.7.1 BANKING, FINANCIAL SERVICES, AND INSURANCE
        • 5.7.1.1 Case Study 1: National Bank of Greece Transformed with SAS Viya on Azure
        • 5.7.1.2 Case Study 2: HSBC implemented LivePerson's conversational AI solutions with intelligent automation
      • 5.7.2 HEALTHCARE & LIFE SCIENCES
        • 5.7.2.1 Case Study 3: Value-based care at Atrius Health with Linguamatics
        • 5.7.2.2 Case Study 4: Huntsman Cancer Institute optimized research with Linguamatics NLP platform
        • 5.7.2.3 Case Study 5: Humana, a leading health insurance provider, reduced costly pre-service calls with conversational AI
      • 5.7.3 IT & ITES
        • 5.7.3.1 Case Study 6: Telenor adapts to rapidly changing customer expectations using a hybrid cloud approach
      • 5.7.4 RETAIL & ECOMMERCE
        • 5.7.4.1 Case Study 7: schuh stepped up customer experience with AWS
      • 5.7.5 GOVERNMENT & PUBLIC SECTOR
        • 5.7.5.1 Case Study 8: Smart city uses analytics and IoT to predict and manage flood events
      • 5.7.6 MEDIA & ENTERTAINMENT
        • 5.7.6.1 Case Study 9: The Associated Press used NLG to automate NCAA Division I men's basketball previews during the 2018 season
        • 5.7.6.2 Case Study 10: Yahoo! Sports uses NLG to produce over 70 million reports and match recaps
      • 5.7.7 TRAVEL & HOSPITALITY
        • 5.7.7.1 Case Study 11: SAS gives Foxwoods Resort Casino a holistic view of resort operations
    • 5.8 ECOSYSTEM
      • FIGURE 30 NATURAL LANGUAGE PROCESSING MARKET: ECOSYSTEM
    • 5.9 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF THE NLP MARKET
      • FIGURE 31 NATURAL LANGUAGE PROCESSING MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
    • 5.10 TECHNOLOGY ANALYSIS
      • 5.10.1 ARTIFICIAL INTELLIGENCE
      • 5.10.2 DEEP LEARNING
      • 5.10.3 BIG DATA
      • 5.10.4 BLOCKCHAIN
      • 5.10.5 CYBERSECURITY
      • 5.10.6 IOT
    • 5.11 PATENT ANALYSIS
      • 5.11.1 METHODOLOGY
      • 5.11.2 DOCUMENT TYPE
      • TABLE 7 PATENTS FILED, 2018-2021
      • 5.11.3 INNOVATION AND PATENT APPLICATIONS
      • FIGURE 32 ANNUAL NUMBER OF PATENTS GRANTED, 2018-2021
      • 5.11.4 TOP APPLICANTS
      • FIGURE 33 TOP 10 PATENT APPLICANTS, 2019-2022
    • 5.12 PORTER'S FIVE FORCES ANALYSIS
      • TABLE 8 IMPACT OF EACH FORCE ON THE NATURAL LANGUAGE PROCESSING MARKET
      • FIGURE 34 PORTER'S FIVE FORCES ANALYSIS
      • 5.12.1 THREAT FROM NEW ENTRANTS
      • 5.12.2 THREAT FROM SUBSTITUTES
      • 5.12.3 BARGAINING POWER OF SUPPLIERS
      • 5.12.4 BARGAINING POWER OF BUYERS
      • 5.12.5 INTENSITY OF COMPETITIVE RIVALRY
    • 5.13 REGULATORY IMPLICATIONS
      • 5.13.1 GENERAL DATA PROTECTION REGULATION
      • 5.13.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
      • 5.13.3 PAYMENT CARD INDUSTRY DATA SECURITY STANDARD
      • 5.13.4 SARBANES-OXLEY ACT OF 2002
      • 5.13.5 SOC 2 TYPE II COMPLIANCE
      • 5.13.6 ISO/IEC 27001
      • 5.13.7 THE GRAMM-LEACH-BLILEY ACT
      • 5.13.8 EUROPEAN UNION DATA PROTECTION REGULATION
      • 5.13.9 CAN-SPAM ACT
    • 5.14 TARIFF AND REGULATORY LANDSCAPE
      • 5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
      • TABLE 9 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
      • TABLE 10 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
      • TABLE 11 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
      • TABLE 12 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
      • TABLE 13 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.15 PRICING ANALYSIS
      • TABLE 14 AVERAGE SELLING PRICE RANGES OF SUBSCRIPTION-BASED/PAY-AS-YOU-GO NLP SERVICES
    • 5.16 KEY STAKEHOLDERS & BUYING CRITERIA
      • 5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
      • FIGURE 35 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS
      • TABLE 15 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS
      • 5.16.2 BUYING CRITERIA
      • FIGURE 36 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
      • TABLE 16 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS

    6 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT

    • 6.1 INTRODUCTION
      • 6.1.1 COMPONENT: MARKET DRIVERS
      • FIGURE 37 NATURAL LANGUAGE PROCESSING SOLUTIONS TO BE A LARGER MARKET DURING THE FORECAST PERIOD
      • TABLE 17 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 18 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • 6.2 SOLUTIONS
      • TABLE 19 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 20 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 21 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 22 NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY REGION, 2022-2027 (USD MILLION)
      • 6.2.1 PLATFORMS
      • TABLE 23 NATURAL LANGUAGE PROCESSING PLATFORMS MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 24 NATURAL LANGUAGE PROCESSING PLATFORMS MARKET, BY REGION, 2022-2027 (USD MILLION)
      • 6.2.2 SOFTWARE TOOLS
      • TABLE 25 NATURAL LANGUAGE PROCESSING SOFTWARE TOOLS MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 26 NATURAL LANGUAGE PROCESSING SOFTWARE TOOLS MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 6.3 SERVICES
      • FIGURE 38 MANAGED SERVICES TO RECORD HIGHER CAGR DURING FORECAST PERIOD
      • TABLE 27 NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 28 NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • 6.3.1 PROFESSIONAL SERVICES
      • FIGURE 39 TRAINING & CONSULTING SERVICES TO BE FASTEST-GROWING DURING FORECAST PERIOD
      • TABLE 29 PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 30 PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 31 PROFESSIONAL SERVICES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 32 PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY REGION, 2022-2027 (USD MILLION)
        • 6.3.1.1 Training & Consulting
      • TABLE 33 NATURAL LANGUAGE PROCESSING TRAINING & CONSULTING SERVICES MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 34 NATURAL LANGUAGE PROCESSING TRAINING & CONSULTING SERVICES MARKET, BY REGION, 2022-2027 (USD MILLION)
        • 6.3.1.2 System Integration & Implementation
      • TABLE 35 NATURAL LANGUAGE PROCESSING SYSTEM INTEGRATION & IMPLEMENTATION SERVICES MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 36 NATURAL LANGUAGE PROCESSING SYSTEM INTEGRATION & IMPLEMENTATION SERVICES MARKET, BY REGION, 2022-2027 (USD MILLION)
        • 6.3.1.3 Support & Maintenance
      • TABLE 37 NATURAL LANGUAGE PROCESSING SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 38 NATURAL LANGUAGE PROCESSING SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2022-2027(USD MILLION)
      • 6.3.2 MANAGED SERVICES
      • TABLE 39 MANAGED NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 40 MANAGED NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY REGION, 2022-2027(USD MILLION)

    7 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE

    • 7.1 INTRODUCTION
      • 7.1.1 TYPE: MARKET DRIVERS
      • FIGURE 40 HYBRID NATURAL LANGUAGE PROCESSING TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
      • TABLE 41 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 42 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022-2027 (USD MILLION)
    • 7.2 RULE-BASED
      • TABLE 43 RULED-BASED NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 44 RULED-BASED NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 7.3 STATISTICAL
      • TABLE 45 STATISTICAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 46 STATISTICAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 7.4 HYBRID
      • TABLE 47 HYBRID NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 48 HYBRID NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022-2027 (USD MILLION)

    8 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE

    • 8.1 INTRODUCTION
      • 8.1.1 DEPLOYMENT MODE: MARKET DRIVERS
      • FIGURE 41 ON-PREMISE DEPLOYMENT TO EXPERIENCE HIGHER CAGR DURING FORECAST PERIOD
      • TABLE 49 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
      • TABLE 50 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
    • 8.2 ON-PREMISES
      • TABLE 51 ON-PREMISES DEPLOYMENT MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 52 ON-PREMISES DEPLOYMENT MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 8.3 CLOUD
      • TABLE 53 CLOUD DEPLOYMENT MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 54 CLOUD DEPLOYMENT MARKET, BY REGION, 2022-2027 (USD MILLION)

    9 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE

    • 9.1 INTRODUCTION
      • 9.1.1 ORGANIZATION SIZE: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
      • FIGURE 42 SMALL & MEDIUM-SIZED ENTERPRISES TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
      • TABLE 55 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
      • TABLE 56 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
    • 9.2 SMALL & MEDIUM-SIZED ENTERPRISES
      • TABLE 57 SMALL & MEDIUM-SIZED ENTERPRISES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 58 SMALL & MEDIUM-SIZED ENTERPRISES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 9.3 LARGE ENTERPRISES
      • TABLE 59 LARGE ENTERPRISES MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 60 LARGE ENTERPRISES MARKET, BY REGION, 2022-2027(USD MILLION)

    10 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION

    • 10.1 INTRODUCTION
      • 10.1.1 APPLICATION: MARKET DRIVERS
      • FIGURE 43 EMPLOYEE ONBOARDING & RECRUITING TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
      • TABLE 61 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
      • TABLE 62 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
    • 10.2 CUSTOMER EXPERIENCE MANAGEMENT
      • TABLE 63 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 64 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 10.3 VIRTUAL ASSISTANTS/CHATBOTS
      • TABLE 65 VIRTUAL ASSISTANTS/CHATBOTS MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 66 VIRTUAL ASSISTANTS/CHATBOTS MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 10.4 SOCIAL MEDIA MONITORING
      • TABLE 67 SOCIAL MEDIA MONITORING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 68 SOCIAL MEDIA MONITORING MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 10.5 SENTIMENT ANALYSIS
      • TABLE 69 SENTIMENT ANALYSIS MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 70 SENTIMENT ANALYSIS MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 10.6 TEXT CLASSIFICATION & SUMMARIZATION
      • TABLE 71 TEXT CLASSIFICATION & SUMMARIZATION MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 72 TEXT CLASSIFICATION & SUMMARIZATION MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 10.7 EMPLOYEE ONBOARDING & RECRUITING
      • TABLE 73 EMPLOYEE ONBOARDING & RECRUITING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 74 EMPLOYEE ONBOARDING & RECRUITING MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 10.8 OTHER APPLICATIONS
      • TABLE 75 OTHER APPLICATIONS MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 76 OTHER APPLICATIONS MARKET, BY REGION, 2022-2027 (USD MILLION)

    11 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY

    • 11.1 INTRODUCTION
      • 11.1.1 TECHNOLOGY: MARKET DRIVERS
      • FIGURE 44 IMAGE & PATTERN RECOGNITION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
      • TABLE 77 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016-2021 (USD MILLION)
      • TABLE 78 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2022-2027 (USD MILLION)
    • 11.2 OPTICAL CHARACTER RECOGNITION
      • TABLE 79 OPTICAL CHARACTER RECOGNITION MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 80 OPTICAL CHARACTER RECOGNITION MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 11.3 INTERACTIVE VOICE RESPONSE
      • TABLE 81 INTERACTIVE VOICE RESPONSE MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 82 INTERACTIVE VOICE RESPONSE MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 11.4 AUTO CODING
      • TABLE 83 AUTO CODING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 84 AUTO CODING MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 11.5 TEXT ANALYTICS
      • TABLE 85 TEXT ANALYTICS MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 86 TEXT ANALYTICS MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 11.6 SPEECH ANALYTICS
      • TABLE 87 SPEECH ANALYTICS MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 88 SPEECH ANALYTICS MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 11.7 IMAGE & PATTERN RECOGNITION
      • TABLE 89 IMAGE & PATTERN RECOGNITION MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 90 IMAGE & PATTERN RECOGNITION MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 11.8 SIMULATION & MODELING
      • TABLE 91 SIMULATION & MODELING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 92 SIMULATION & MODELING MARKET, BY REGION, 2022-2027 (USD MILLION)

    12 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL

    • 12.1 INTRODUCTION
      • 12.1.1 VERTICAL: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
      • TABLE 93 MAJOR USE CASES, BY VERTICAL
      • FIGURE 45 HEALTHCARE & LIFE SCIENCES VERTICAL TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
      • TABLE 94 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
      • TABLE 95 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
    • 12.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
      • TABLE 96 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 97 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 12.3 IT & ITES
      • TABLE 98 IT & ITES VERTICAL MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 99 IT & ITES VERTICAL MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 12.4 RETAIL & ECOMMERCE
      • TABLE 100 RETAIL & ECOMMERCE VERTICAL MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 101 RETAIL & ECOMMERCE VERTICALS MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 12.5 HEALTHCARE & LIFE SCIENCES
      • TABLE 102 HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 103 HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 12.6 TRANSPORTATION & LOGISTICS
      • TABLE 104 TRANSPORTATION & LOGISTICS VERTICAL MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 105 TRANSPORTATION & LOGISTICS VERTICAL MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 12.7 GOVERNMENT & PUBLIC SECTOR
      • TABLE 106 GOVERNMENT & PUBLIC SECTOR VERTICAL MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 107 GOVERNMENT & PUBLIC SECTOR VERTICAL MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 12.8 MEDIA & ENTERTAINMENT
      • TABLE 108 MEDIA & ENTERTAINMENT VERTICAL MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 109 MEDIA & ENTERTAINMENT VERTICAL MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 12.9 MANUFACTURING
      • TABLE 110 MANUFACTURING VERTICAL MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 111 MANUFACTURING VERTICAL MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 12.10 OTHER VERTICALS
      • TABLE 112 OTHER VERTICALS MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 113 OTHER VERTICALS MARKET, BY REGION, 2022-2027 (USD MILLION)

    13 NATURAL LANGUAGE PROCESSING MARKET, BY REGION

    • 13.1 INTRODUCTION
      • FIGURE 46 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022 VS. 2027 (USD MILLION)
      • FIGURE 47 INDIA TO BE FASTEST-GROWING DURING FORECAST PERIOD
      • TABLE 114 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016-2021 (USD MILLION)
      • TABLE 115 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022-2027 (USD MILLION)
    • 13.2 NORTH AMERICA
      • 13.2.1 NORTH AMERICA: MARKET DRIVERS
      • 13.2.2 NORTH AMERICA: REGULATIONS
        • 13.2.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
        • 13.2.2.2 Gramm-Leach-Bliley Act
        • 13.2.2.3 Federal Information Security Management Act
        • 13.2.2.4 Health Insurance Portability and Accountability Act of 1996
        • 13.2.2.5 Health Level Seven (HL7)
        • 13.2.2.6 Occupational Safety and Health Administration (OSHA)
        • 13.2.2.7 California Consumer Privacy Act
      • FIGURE 48 NORTH AMERICA: MARKET SNAPSHOT
      • TABLE 116 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 117 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • TABLE 118 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 119 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 120 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 121 NORTH AMERICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 122 NORTH AMERICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 123 NORTH AMERICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 124 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 125 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 126 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
      • TABLE 127 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
      • TABLE 128 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
      • TABLE 129 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
      • TABLE 130 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
      • TABLE 131 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 132 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016-2021 (USD MILLION)
      • TABLE 133 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 134 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
      • TABLE 135 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
      • TABLE 136 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2016-2021 (USD MILLION)
      • TABLE 137 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2022-2027 (USD MILLION)
      • 13.2.3 US
      • TABLE 138 US: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 139 US: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.2.4 CANADA
      • TABLE 140 CANADA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 141 CANADA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • 13.3 EUROPE
      • 13.3.1 EUROPE: MARKET DRIVERS
      • 13.3.2 EUROPE: REGULATIONS
        • 13.3.2.1 European Market Infrastructure Regulation
        • 13.3.2.2 General Data Protection Regulation
        • 13.3.2.3 European Committee for Standardization
        • 13.3.2.4 European Technical Standards Institute
      • TABLE 142 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 143 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • TABLE 144 EUROPE: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 145 EUROPE: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 146 EUROPE: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 147 EUROPE: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 148 EUROPE: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 149 EUROPE: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 150 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 151 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 152 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
      • TABLE 153 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
      • TABLE 154 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
      • TABLE 155 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
      • TABLE 156 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
      • TABLE 157 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 158 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016-2021 (USD MILLION)
      • TABLE 159 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 160 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
      • TABLE 161 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
      • TABLE 162 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2016-2021 (USD MILLION)
      • TABLE 163 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2022-2027 (USD MILLION)
      • 13.3.3 UK
      • TABLE 164 UK: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 165 UK: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.3.4 GERMANY
      • TABLE 166 GERMANY: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 167 GERMANY: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.3.5 FRANCE
      • TABLE 168 FRANCE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 169 FRANCE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.3.6 SPAIN
      • TABLE 170 SPAIN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 171 SPAIN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.3.7 REST OF EUROPE
      • TABLE 172 REST OF EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 173 REST OF EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • 13.4 ASIA PACIFIC
      • 13.4.1 ASIA PACIFIC: MARKET DRIVERS
      • 13.4.2 ASIA PACIFIC: REGULATIONS
        • 13.4.2.1 Privacy Commissioner for Personal Data
        • 13.4.2.2 Act on the Protection of Personal Information
        • 13.4.2.3 Critical Information Infrastructure
        • 13.4.2.4 International Organization for Standardization 27001
        • 13.4.2.5 Personal Data Protection Act
      • FIGURE 49 ASIA PACIFIC: MARKET SNAPSHOT
      • TABLE 174 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 175 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • TABLE 176 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 177 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 178 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 179 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 180 ASIA PACIFIC: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 181 ASIA PACIFIC: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 182 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 183 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 184 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
      • TABLE 185 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
      • TABLE 186 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
      • TABLE 187 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
      • TABLE 188 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
      • TABLE 189 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 190 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016-2021 (USD MILLION)
      • TABLE 191 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 192 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
      • TABLE 193 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
      • TABLE 194 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2016-2021 (USD MILLION)
      • TABLE 195 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2022-2027 (USD MILLION)
      • 13.4.3 CHINA
      • TABLE 196 CHINA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 197 CHINA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.4.4 JAPAN
      • TABLE 198 JAPAN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 199 JAPAN: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.4.5 INDIA
      • TABLE 200 INDIA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 201 INDIA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.4.6 ASEAN COUNTRIES
      • TABLE 202 ASEAN COUNTRIES: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 203 ASEAN COUNTRIES: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.4.7 REST OF ASIA PACIFIC
      • TABLE 204 REST OF ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 205 REST OF ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • 13.5 MIDDLE EAST & AFRICA
      • 13.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
      • 13.5.2 MIDDLE EAST & AFRICA: REGULATIONS
        • 13.5.2.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
        • 13.5.2.2 Cloud Computing Framework
        • 13.5.2.3 GDPR Applicability in the Kingdom of Saudi Arabia (KSA)
        • 13.5.2.4 Protection of Personal Information Act
        • 13.5.2.5 Protection of Personal Information (POPI) Act
      • TABLE 206 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 207 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • TABLE 208 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 209 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 210 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 211 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 212 MIDDLE EAST & AFRICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 213 MIDDLE EAST & AFRICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 214 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 215 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 216 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
      • TABLE 217 MIDDLE & AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
      • TABLE 218 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
      • TABLE 219 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
      • TABLE 220 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
      • TABLE 221 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 222 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016-2021 (USD MILLION)
      • TABLE 223 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 224 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
      • TABLE 225 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
      • TABLE 226 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2016-2021 (USD MILLION)
      • TABLE 227 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2022-2027 (USD MILLION)
      • 13.5.3 KINGDOM OF SAUDI ARABIA
      • TABLE 228 KSA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 229 KSA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.5.4 UNITED ARAB EMIRATES
      • TABLE 230 UAE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 231 UAE: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.5.5 SOUTH AFRICA
      • TABLE 232 SOUTH AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 233 SOUTH AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.5.6 REST OF THE MIDDLE EAST & AFRICA
      • TABLE 234 REST OF MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 235 REST OF MIDDLE EAST AND AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • 13.6 LATIN AMERICA
      • 13.6.1 LATIN AMERICA: MARKET DRIVERS
      • 13.6.2 LATIN AMERICA: REGULATIONS
        • 13.6.2.1 Brazil Data Protection Law
      • TABLE 236 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 237 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • TABLE 238 LATIN AMERICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 239 LATIN AMERICA: NATURAL LANGUAGE PROCESSING SOLUTIONS MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 240 LATIN AMERICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 241 LATIN AMERICA: NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 242 LATIN AMERICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 243 LATIN AMERICA: PROFESSIONAL NATURAL LANGUAGE PROCESSING SERVICES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 244 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016-2021 (USD MILLION)
      • TABLE 245 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • TABLE 246 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016-2021 (USD MILLION)
      • TABLE 247 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
      • TABLE 248 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016-2021 (USD MILLION)
      • TABLE 249 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
      • TABLE 250 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016-2021 (USD MILLION)
      • TABLE 251 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 252 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016-2021 (USD MILLION)
      • TABLE 253 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • TABLE 254 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016-2021 (USD MILLION)
      • TABLE 255 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
      • TABLE 256 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2016-2021 (USD MILLION)
      • TABLE 257 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2022-2027 (USD MILLION)
      • 13.6.3 BRAZIL
      • TABLE 258 BRAZIL: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 259 BRAZIL: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.6.4 MEXICO
      • TABLE 260 MEXICO: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 261 MEXICO: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
      • 13.6.5 REST OF LATIN AMERICA
      • TABLE 262 REST OF LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016-2021 (USD MILLION)
      • TABLE 263 REST OF LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022-2027 (USD MILLION)

    14 COMPETITIVE LANDSCAPE

    • 14.1 OVERVIEW
    • 14.2 KEY PLAYER STRATEGIES
      • TABLE 264 OVERVIEW OF STRATEGIES ADOPTED BY KEY NLP VENDORS
    • 14.3 REVENUE ANALYSIS
      • 14.3.1 HISTORICAL REVENUE ANALYSIS
      • FIGURE 50 HISTORICAL REVENUE ANALYSIS OF TOP FIVE LEADING PLAYERS, 2019-2021 (USD MILLION)
    • 14.4 MARKET SHARE ANALYSIS
      • FIGURE 51 MARKET SHARE ANALYSIS, 2019-2022
      • TABLE 265 NATURAL LANGUAGE PROCESSING MARKET: DEGREE OF COMPETITION
    • 14.5 MARKET EVALUATION FRAMEWORK
      • FIGURE 52 NATURAL LANGUAGE PROCESSING MARKET EVALUATION FRAMEWORK, 2019-2022
    • 14.6 KEY COMPANY EVALUATION QUADRANT
      • 14.6.1 STARS
      • 14.6.2 EMERGING LEADERS
      • 14.6.3 PERVASIVE PLAYERS
      • 14.6.4 PARTICIPANTS
      • FIGURE 53 NATURAL LANGUAGE PROCESSING MARKET: KEY COMPANY EVALUATION QUADRANT, 2022
    • 14.7 KEY PLAYER COMPETITIVE BENCHMARKING
      • 14.7.1 COMPANY PRODUCT FOOTPRINT
      • FIGURE 54 PRODUCT PORTFOLIO ANALYSIS OF TOP PLAYERS
      • FIGURE 55 BUSINESS STRATEGY EXCELLENCE OF TOP PLAYERS
      • TABLE 266 NATURAL LANGUAGE PROCESSING MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS
    • 14.8 STARTUP/SME EVALUATION QUADRANT
      • 14.8.1 PROGRESSIVE COMPANIES
      • 14.8.2 RESPONSIVE COMPANIES
      • 14.8.3 DYNAMIC COMPANIES
      • 14.8.4 STARTING BLOCKS
      • FIGURE 56 NATURAL LANGUAGE PROCESSING MARKET: STARTUP/SME EVALUATION QUADRANT, 2022
    • 14.9 STARTUP/SME COMPETITIVE BENCHMARKING
      • 14.9.1 COMPANY PRODUCT FOOTPRINT
      • FIGURE 57 PRODUCT PORTFOLIO ANALYSIS OF STARTUPS/SMES
      • FIGURE 58 BUSINESS STRATEGY EXCELLENCE OF STARTUPS/SMES
      • TABLE 267 NATURAL LANGUAGE PROCESSING MARKET: COMPETITIVE BENCHMARKING OF STARTUP/SMES
      • TABLE 268 NATURAL LANGUAGE PROCESSING MARKET: DETAILED LIST OF KEY STARTUPS/SMES
    • 14.10 COMPETITIVE SCENARIO AND TRENDS
      • 14.10.1 NEW PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 269 NEW PRODUCT LAUNCHES AND ENHANCEMENTS, AUGUST 2018-JUNE 2022
      • 14.10.2 DEALS
      • TABLE 270 DEALS, FEBRUARY 2019-FEBRUARY 2022

    15 COMPANY PROFILES

    • 15.1 INTRODUCTION
    • 15.2 KEY PLAYERS
    • (Business overview, Solutions offered, Recent developments, COVID-19-related developments, MnM view, Key strengths/Right to win, Strategic choices made, and Weaknesses and competitive threats)**
      • 15.2.1 IBM
      • TABLE 271 IBM: BUSINESS OVERVIEW
      • FIGURE 59 IBM: COMPANY SNAPSHOT
      • TABLE 272 IBM: SOLUTIONS OFFERED
      • TABLE 273 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 274 IBM: DEALS
      • 15.2.2 MICROSOFT
      • TABLE 275 MICROSOFT: BUSINESS OVERVIEW
      • FIGURE 60 MICROSOFT: COMPANY SNAPSHOT
      • TABLE 276 MICROSOFT: SOLUTIONS OFFERED
      • TABLE 277 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 278 MICROSOFT: DEALS
      • 15.2.3 GOOGLE
      • TABLE 279 GOOGLE: BUSINESS OVERVIEW
      • FIGURE 61 GOOGLE: COMPANY SNAPSHOT
      • TABLE 280 GOOGLE: SOLUTIONS OFFERED
      • TABLE 281 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 282 GOOGLE: DEALS
      • 15.2.4 AWS
      • TABLE 283 AWS: BUSINESS OVERVIEW
      • FIGURE 62 AWS: COMPANY SNAPSHOT
      • TABLE 284 AWS: SOLUTIONS OFFERED
      • TABLE 285 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 286 AWS: DEALS
      • 15.2.5 META
      • TABLE 287 META: BUSINESS OVERVIEW
      • FIGURE 63 META: COMPANY SNAPSHOT
      • TABLE 288 META: SOLUTIONS OFFERED
      • TABLE 289 META: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 290 META: DEALS
      • 15.2.6 3M
      • TABLE 291 3M: BUSINESS OVERVIEW
      • FIGURE 64 3M: COMPANY SNAPSHOT
      • TABLE 292 3M: SOLUTIONS OFFERED
      • TABLE 293 3M: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 294 3M: DEALS
      • 15.2.7 BAIDU
      • TABLE 295 BAIDU: BUSINESS OVERVIEW
      • FIGURE 65 BAIDU: COMPANY SNAPSHOT
      • TABLE 296 BAIDU: SOLUTIONS OFFERED
      • TABLE 297 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 298 BAIDU: DEALS
      • 15.2.8 APPLE
      • TABLE 299 APPLE: BUSINESS OVERVIEW
      • FIGURE 66 APPLE: COMPANY SNAPSHOT
      • TABLE 300 APPLE: SOLUTIONS OFFERED
      • TABLE 301 APPLE: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 302 APPLE: DEALS
      • 15.2.9 SAS INSTITUTE
      • TABLE 303 SAS INSTITUTE: BUSINESS OVERVIEW
      • FIGURE 67 SAS INSTITUTE: COMPANY SNAPSHOT
      • TABLE 304 SAS INSTITUTE: SOLUTIONS OFFERED
      • TABLE 305 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 306 SAS INSTITUTE: DEALS
      • 15.2.10 IQVIA
      • TABLE 307 IQVIA: BUSINESS OVERVIEW
      • FIGURE 68 IQVIA: COMPANY SNAPSHOT
      • TABLE 308 IQVIA: SOLUTIONS OFFERED
      • TABLE 309 IQVIA: PRODUCT LAUNCHES AND ENHANCEMENTS
      • TABLE 310 IQVIA: DEALS
      • 15.2.11 ORACLE
      • 15.2.12 INBENTA
      • 15.2.13 HEALTH FIDELITY
      • 15.2.14 LIVEPERSON
      • 15.2.15 SOUNDHOUND
      • 15.2.16 MINDMELD
      • 15.2.17 VERITONE
      • 15.2.18 DOLBEY
      • 15.2.19 AUTOMATED INSIGHTS
      • 15.2.20 BITEXT
      • 15.2.21 CONVERSICA
    • 15.3 STARTUPS/SMES
      • 15.3.1 ADDEPTO
      • 15.3.2 RAGAVERA
      • 15.3.3 OBSERVE.AI
      • 15.3.4 EIGEN TECHNOLOGIES
      • 15.3.5 GNANI.AI
      • 15.3.6 CRAYON DATA
      • 15.3.7 NARRATIVA
      • 15.3.8 DEEPSET
      • 15.3.9 ELLIPSIS HEALTH
      • 15.3.10 DHEEYANTRA
    • *Details on Business overview, Solutions offered, Recent developments, COVID-19-related developments, MnM view, Key strengths/Right to win, Strategic choices made, and Weaknesses and competitive threats might not be captured in case of unlisted companies.

    16 ADJACENT AND RELATED MARKETS

    • 16.1 INTRODUCTION
    • 16.2 CONVERSATIONAL AI MARKET - GLOBAL FORECAST TO 2026
      • 16.2.1 MARKET DEFINITION
      • 16.2.2 MARKET OVERVIEW
        • 16.2.2.1 Conversational AI market, by component
      • TABLE 311 CONVERSATIONAL AI MARKET, BY COMPONENT, 2016-2020 (USD MILLION)
      • TABLE 312 CONVERSATIONAL AI MARKET, BY COMPONENT, 2021-2026 (USD MILLION)
        • 16.2.2.2 Conversational AI market, by type
      • TABLE 313 CONVERSATIONAL AI MARKET, BY TYPE, 2016-2020 (USD MILLION)
      • TABLE 314 CONVERSATIONAL AI MARKET, BY TYPE, 2021-2026 (USD MILLION)
        • 16.2.2.3 Conversational AI market, by deployment mode
      • TABLE 315 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2016-2020 (USD MILLION)
      • TABLE 316 CONVERSATIONAL AI MARKET, BY DEPLOYMENT MODE, 2021-2026 (USD MILLION)
        • 16.2.2.4 Conversational AI market, by organization size
      • TABLE 317 CONVERSATIONAL AI MARKET, BY ORGANIZATION SIZE, 2016-2020 (USD MILLION)
      • TABLE 318 CONVERSATIONAL AI MARKET, BY ORGANIZATION SIZE, 2021-2026 (USD MILLION)
        • 16.2.2.5 Conversational AI market, by mode of integration
      • TABLE 319 CONVERSATIONAL AI MARKET, BY MODE OF INTEGRATION, 2016-2020 (USD MILLION)
      • TABLE 320 CONVERSATIONAL AI MARKET, BY MODE OF INTEGRATION, 2021-2026 (USD MILLION)
        • 16.2.2.6 Conversational AI market, by business function
      • TABLE 321 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2016-2020 (USD MILLION)
      • TABLE 322 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2021-2026 (USD MILLION)
        • 16.2.2.7 Conversational AI market, by vertical
      • TABLE 323 CONVERSATIONAL AI MARKET, BY VERTICAL, 2016-2020 (USD MILLION)
      • TABLE 324 CONVERSATIONAL AI MARKET, BY VERTICAL, 2021-2026 (USD MILLION)
        • 16.2.2.8 Conversational AI market, by region
      • TABLE 325 CONVERSATIONAL AI MARKET, BY REGION, 2016-2020 (USD MILLION)
      • TABLE 326 CONVERSATIONAL AI MARKET, BY REGION, 2021-2026 (USD MILLION)
    • 16.3 CHATBOT MARKET - GLOBAL FORECAST TO 2026
      • 16.3.1 MARKET DEFINITION
      • 16.3.2 MARKET OVERVIEW
        • 16.3.2.1 Chatbot market, by component
      • TABLE 327 CHATBOT MARKET, BY COMPONENT, 2015-2019 (USD MILLION)
      • TABLE 328 CHATBOT MARKET, BY COMPONENT, 2020-2026 (USD MILLION)
        • 16.3.2.2 Chatbot market, by type
      • TABLE 329 CHATBOT MARKET, BY TYPE, 2015-2019 (USD MILLION)
      • TABLE 330 CHATBOT MARKET, BY TYPE, 2020-2026 (USD MILLION)
        • 16.3.2.3 Chatbot market, by deployment mode
      • TABLE 331 CHATBOT MARKET, BY DEPLOYMENT MODE, 2015-2019 (USD MILLION)
      • TABLE 332 CHATBOT MARKET, BY DEPLOYMENT MODE, 2020-2026 (USD MILLION)
        • 16.3.2.4 Chatbot market, by channel integration
      • TABLE 333 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2015-2019 (USD MILLION)
      • TABLE 334 CHATBOT MARKET, BY CHANNEL INTEGRATION, 2020-2026 (USD MILLION)
        • 16.3.2.5 Chatbot market, by business function
      • TABLE 335 CHATBOT MARKET, BY BUSINESS FUNCTION, 2015-2019 (USD MILLION)
      • TABLE 336 CHATBOT MARKET, BY BUSINESS FUNCTION, 2020-2026 (USD MILLION)
        • 16.3.2.6 Chatbot market, by application
      • TABLE 337 CHATBOT MARKET, BY APPLICATION, 2015-2019 (USD MILLION)
      • TABLE 338 CHATBOT MARKET, BY APPLICATION, 2020-2026 (USD MILLION)
        • 16.3.2.7 Chatbot market, by vertical
      • TABLE 339 CHATBOT MARKET, BY VERTICAL, 2015-2019 (USD MILLION)
      • TABLE 340 CHATBOT MARKET, BY VERTICAL, 2020-2026 (USD MILLION)
        • 16.3.2.8 Chatbot market, by region
      • TABLE 341 CHATBOT MARKET, BY REGION, 2015-2019 (USD MILLION)
      • TABLE 342 CHATBOT MARKET, BY REGION, 2020-2026 (USD MILLION)

    17 APPENDIX

    • 17.1 INDUSTRY EXPERTS
    • 17.2 DISCUSSION GUIDE
    • 17.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
    • 17.4 AVAILABLE CUSTOMIZATIONS
    • 17.5 RELATED REPORTS
    • 17.6 AUTHOR DETAILS
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