한글목차

세계 자연언어처리(NLP) 시장 규모는 2023년 189억 달러에서 예측 기간 동안 29.3%의 CAGR을 기록하며 2028년에는 681억 달러 규모로 성장할 것으로 예상됩니다.

NLP 기술은 기계가 인간의 언어를 이해할 수 있는 능력을 부여하여 비정형 데이터를 정형화된 형식으로 변환할 수 있게 합니다. 감정 분석 기술을 통해 NLP는 텍스트와 음성 뒤에 숨어있는 감정을 이해할 수 있습니다. 이 기술을 통해 기업은 고객을 더 잘 이해하고 고객 서비스에 대한 접근 방식을 개선할 수 있습니다. 많은 기업들이 NLP의 고급 도구와 애플리케이션을 사용하여 자체적인 음성 기반 인터페이스를 만들 수 있게 되었습니다. 이를 통해 고객 문의를 이해하고 적시에 자동화된 응답을 제공하는 데 도움이 되고 있습니다. 또한, NLP 기술을 통해 기업은 비지니스 인텔리전스 소프트웨어를 다양한 부서로 확장하여 중요한 데이터 인사이트를 얻을 수 있게 되었습니다.

제공 부문별로는 솔루션 부문이 예측 기간 동안 가장 큰 규모를 유지할 것으로 예상되며, AI 솔루션의 잠재적 이점에 대한 인식이 높아짐에 따라 전 세계적으로 AI 솔루션의 채택이 증가하고 있습니다.

유형별로는 하이브리드 부문이 예측 기간 동안 가장 큰 CAGR로 성장할 것으로 예상됩니다. 하이브리드 NLP는 보다 정확한 언어 이해와 처리를 제공하기 위해 규칙 기반 방법과 통계적 NLP 방법의 장점을 결합한 고급 접근 방식입니다. 사전 정의된 언어 규칙을 통계 모델 및 ML 기법과 통합하여 방대한 양의 데이터를 더 잘 분석할 수 있습니다.

지역별로는 아시아태평양이 예측 기간 동안 가장 높은 CAGR을 기록할 것으로 예상됩니다. 이 지역에서는 AI 및 ML 기술의 상용화와 함께 정부 이니셔티브, 정책 및 투자로 인해 NLP 소프트웨어 및 서비스 채택이 크게 증가할 것으로 예상됩니다. 중국, 인도, 일본 등 많은 아시아 국가들은 정보 집약적인 AI 기술을 활용하고 있으며, 대화형 AI는 주요 기술 트렌드 중 하나입니다.

세계의 자연언어처리(NLP) 시장을 조사했으며, 시장 개요, 시장 영향요인 및 시장 기회 분석, 기술 및 특허 동향, 사례 연구, 규제 환경, 시장 규모 추이 및 예측, 각종 부문별·지역별 상세 분석, 경쟁 구도, 주요 기업 개요 등의 정보를 정리하여 전해드립니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 주요 인사이트

제5장 시장 개요와 업계 동향

• 시장 역학
  • 성장 촉진요인
  • 성장 억제요인
  • 기회
  • 과제
• 업계 동향
  • 자연언어처리(NLP) : 진화
  • 자연언어처리(NLP) : 아키텍처
  • 밸류체인 분석
  • 공급망 분석
  • 생태계
  • 가격 분석
  • Porter's Five Forces 분석
  • 바이어·고객의 사업에 영향을 미치는 동향·디스럽션
  • 기술 분석
  • 사례 연구 분석
  • 특허 분석
  • 주요 회의와 이벤트
  • 관세와 규제 상황
  • 주요 이해관계자와 구입 기준
  • 베스트 프랙티스
  • 기술 로드맵
  • 자연언어처리 스텝
  • 비지니스 모델

제6장 자연언어처리(NLP) 시장 : 제공별

• 솔루션
  • 플랫폼
  • 소프트웨어 툴
• 도입 모드
  • 클라우드
  • 온프레미스
• 서비스
  • 전문 서비스
  • 매니지드 서비스

제7장 자연언어처리(NLP) 시장 : 유형별

• 규칙 기반
• 통계적
• 하이브리드

제8장 자연언어처리(NLP) 시장 : 용도별

• 고객 경험 관리
• 가상 어시스턴트/챗봇
• 소셜 미디어 감시
• 감정 분석
• 텍스트 분류·요약
• 직원 신인 연수·채용
• 언어 생성·음성 인식
• 기계 번역
• 기타

제9장 자연언어처리(NLP) 시장 : 기술별

• OCR
• 인터랙티브 음성 응답
• 자동 코딩
• 텍스트 애널리틱스
• 스피치 애널리틱스
• 영상&패턴 인식
• 시뮬레이션&모델링

제10장 자연언어처리(NLP) 시장 : 산업별

• BFSI
• IT·ITES
• 소매·E-Commerce
• 헬스케어·생명과학
• 수송·물류
• 정부·공공부문
• 미디어·엔터테인먼트
• 제조
• 통신
• 기타

제11장 자연언어처리(NLP) 시장 : 지역별

• 북미
• 유럽
• 아시아태평양
• 중동 및 아프리카
• 라틴아메리카

제12장 경쟁 상황

• 개요
• 주요 기업의 채용 전략
• 매출 분석
• 시장 점유율 분석
• 주요 기업 평가 매트릭스
• 주요 기업의 경쟁 벤치마킹
• 스타트업/중소기업의 기업 평가 매트릭스
• 스타트업/중소기업 경쟁 벤치마킹
• 브랜드/제품의 비교 분석
• 주요 벤더의 평가와 재무 지표
• 기업 재무 지표
• 경쟁 시나리오와 동향

제13장 기업 개요

• 주요 기업
  • IBM
  • MICROSOFT
  • GOOGLE
  • AWS
  • META
  • 3M
  • BAIDU
  • APPLE
  • SAS INSTITUTE
  • ORACLE
  • SALESFORCE
  • OPENAI
  • IQVIA
  • LIVEPERSON
  • SOUNDHOUND AI
  • DOLBEY
  • INBENTA
  • VERITONE
  • MINDMELD, INC
  • AUTOMATED INSIGHTS
  • BITEXT
  • CONVERSICA
  • UIPATH
• 스타트업 /SME
  • ADDEPTO
  • RAGAVERA
  • OBSERVE.AI
  • EIGEN TECHNOLOGIES
  • GNANI.AI
  • CRAYON DATA
  • NARRATIVA
  • DEEPSET
  • ELLIPSIS HEALTH
  • DHEEYANTRA
  • VERBIT.AI
  • RASA
  • TEXTRAZOR
  • MONKEYLEARN
  • COHERE

제14장 인접 시장 및 관련 시장

제15장 부록

영문목차

The global natural language processing market is valued at USD 18.9 billion in 2023 and is estimated to reach USD 68.1 billion by 2028, registering a CAGR of 29.3% during the forecast period. Businesses gather a vast amount of complex data from various sources, such as social media sites and customer interactions. However, this data is often unstructured, making it difficult to derive meaning from it. NLP technology offers machines the ability to understand human languages, enabling companies to transform unstructured data into structured formats. By using sentiment analytics techniques, NLP can also understand the sentiment behind human texts or voice. This technology has enabled businesses to better understand their customers and improve their approaches to customer service. Many companies have even been able to create their own voice-driven interfaces using NLP's advanced tools and applications. This has helped them understand customer queries and provide timely and automated responses. NLP technology has also allowed organizations to expand the use of business intelligence software across different departments and receive important data insights.

The Solution segment is projected to hold the largest market size during the forecast period

The adoption of AI solutions is increasing worldwide, as people become more aware of their potential benefits. NLP is a branch of AI that deals with unstructured data processing and mining. It is commonly used to analyze text, voice, and video content, enabling AI agents to understand the nuances and contexts of human language. Companies like IBM, Microsoft, and Google offer NLP solutions with innovative features, such as sentiment analysis, text classification, summarization, and speech recognition. Some vendors provide sophisticated NLP software tools or APIs with customized features tailored to individual user demands in the market.

By Type, Hybrid Segment is registered to grow at the highest CAGR during the forecast period

Hybrid NLP is an advanced approach that combines the strengths of rule-based and statistical NLP methods to provide more accurate language understanding and processing. This fusion integrates predefined linguistic rules with statistical models and ML techniques, enabling for better analysis of vast amounts of data. Hybrid NLP provides several advantages, especially when users do not have proper datasets and need to implement the statistical method with the least dataset. For instance, in the grammar correction system, a module identifies multi-word expressions and then uses the rule-based method to identify incorrect patterns and generate correct ones. Hybrid NLP is particularly effective in scenarios where precise rule-based processing is essential but also benefits from the flexibility and adaptability of statistical approaches. Hybrid NLP is widely used in various NLP applications, such as chatbots, virtual assistants, sentiment analysis, and text classification, providing a versatile solution to tackle the diverse challenges of language understanding and generation. It is also used in eCRM, sentiment analysis, machine translation, and report generation.

By solutions, Software tools segment is anticipated to account for the largest market size during the forecast period

Software tools offered in the NLP market in the form of SDKs, APIs, and frameworks that enable users to integrate NLP capabilities with their existing software. The NLP market witnesses significant developments due to flexible software and SDK kits. Such software tools are used with other solutions to carry out different tasks, such as text and speech analytics. NLU-based business applications are also finding the increased use of Interactive Voice Response (IVR) and virtual assistants in telecommunications and other verticals for enabling users to interact with such systems in their natural language without constraining a set of fixed responses. With statistical techniques, vendors integrate self-learning capabilities to ensure systems keep learning based on user commands and act accordingly in the future. Such techniques have also improved accuracy and helped systems deliver relevant responses. For instance, Google offers Cloud Natural Language APIs, which emphasize entity extraction, sentiment analysis, syntax analysis, and categorization applications.

Asia Pacific is projected to witness the highest CAGR during the forecast period.

The Asia Pacific Natural Language Processing Market includes countries such as China, Japan, India, ASEAN Countries, and Rest of Asia Pacific, which comprises countries like Sri Lanka, Bangladesh, and Myanmar. The region is expected to experience significant growth in the adoption of NLP software and services due to government initiatives, policies, and investments, along with the commercialization of AI and ML technologies. As the region holds more than 50% of the world's population, any technological shifts like those being heralded by AI are expected to shape the future of the region. Many Asian countries such as China, India, Japan, and others are leveraging information-intensive AI technologies, with conversational AI being one of the leading technology trends.

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 natural language processing market.

• By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
• By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
• By Region: North America: 45%, Asia Pacific: 30%, Europe: 20%, RoW: 5%

Major vendors offering natural language processing solutions and services across the globe are 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).

Research Coverage

The market study covers natural language processing across segments. It aims at estimating the market size and the growth potential across different segments, such as offering, type, 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 market for natural language processing 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.

The report provides insights on the following pointers:

• Analysis of key drivers (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), restraints (Lack of contextual understanding leading to ambiguity, Complexities due to code-mixed language usage while implementing NLP solutions and Limitations in developing NLP technology using neural networks), opportunities (Generative AI acting as catalyst for transforming NLP Market, Need for developing big data technology for actionable business intelligence and Increasing demand for effective data management and advanced data analytics across healthcare), and challenges (Lack of multilingual proficiency and Regulatory and privacy concerns over data security and Interoperability and reliability issues while deploying NLP algorithms) influencing the growth of the natural language processing market
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the natural language processing market.
• Market Development: Comprehensive information about lucrative markets - the report analyses the natural language processing market across varied regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in natural language processing market strategies; the report also helps stakeholders understand the pulse of the natural language processing market and provides them with information on key market drivers, restraints, challenges, and opportunities.
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), Microsoft (US), Google (US), AWS (US), Meta (US) and 3M (US) among others in the natural language processing market.

TABLE OF CONTENTS

1 INTRODUCTION

• 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

• 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

• TABLE 4 NATURAL LANGUAGE PROCESSING MARKET SIZE AND GROWTH RATE, 2017-2022 (USD MILLION, Y-O-Y)
• TABLE 5 NATURAL LANGUAGE PROCESSING 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

• 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 NATURAL LANGUAGE PROCESSING MARKET
  • FIGURE 20 NATURAL LANGUAGE PROCESSING MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
• 4.3 NATURAL LANGUAGE PROCESSING MARKET: TOP THREE APPLICATIONS
  • FIGURE 21 SENTIMENT ANALYSIS APPLICATION TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
• 4.4 NATURAL LANGUAGE PROCESSING MARKET: KEY OFFERING & TOP THREE VERTICALS
  • FIGURE 22 SOLUTIONS AND BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET SHARES RESPECTIVELY IN 2023
• 4.5 NATURAL LANGUAGE PROCESSING MARKET, BY REGION
  • FIGURE 23 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 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 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 NATURAL LANGUAGE PROCESSING MARKET: ARCHITECTURE
  • 5.3.3 VALUE CHAIN ANALYSIS
  • FIGURE 27 NATURAL LANGUAGE PROCESSING MARKET: VALUE CHAIN ANALYSIS
  • 5.3.4 SUPPLY CHAIN ANALYSIS
  • FIGURE 28 NATURAL LANGUAGE PROCESSING MARKET: SUPPLY CHAIN ANALYSIS
  • 5.3.5 ECOSYSTEM
  • FIGURE 29 NATURAL LANGUAGE PROCESSING MARKET: ECOSYSTEM
  • TABLE 6 NATURAL LANGUAGE PROCESSING MARKET: PLATFORM PROVIDERS
  • TABLE 7 NATURAL LANGUAGE PROCESSING MARKET: SOFTWARE PROVIDERS
  • TABLE 8 NATURAL LANGUAGE PROCESSING MARKET: SERVICE PROVIDERS
  • TABLE 9 NATURAL LANGUAGE PROCESSING 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 NATURAL LANGUAGE PROCESSING 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 NATURAL LANGUAGE PROCESSING 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 NATURAL LANGUAGE PROCESSING 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

• 6.1 INTRODUCTION
  • 6.1.1 OFFERING: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
  • FIGURE 38 SERVICES SEGMENT TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
  • TABLE 27 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 28 NATURAL LANGUAGE PROCESSING 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 NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
  • TABLE 30 NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
  • TABLE 31 SOLUTIONS: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 32 SOLUTIONS: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 36 SOFTWARE TOOLS: NATURAL LANGUAGE PROCESSING 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 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
  • TABLE 38 NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 40 CLOUD: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 42 ON-PREMISES: NATURAL LANGUAGE PROCESSING 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 NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 44 NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • TABLE 47 PROFESSIONAL SERVICES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 48 PROFESSIONAL SERVICES: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.4.2.2 Training & Consulting
  • TABLE 49 TRAINING & CONSULTING: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 50 TRAINING & CONSULTING: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.4.2.3 System Integration & Implementation
  • TABLE 51 SYSTEM INTEGRATION & IMPLEMENTATION: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 52 SYSTEM INTEGRATION & IMPLEMENTATION: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.4.2.4 Support & Maintenance
  • TABLE 53 SUPPORT & MAINTENANCE: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 54 SUPPORT & MAINTENANCE: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 56 MANAGED SERVICES: NATURAL LANGUAGE PROCESSING 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

• 7.1 INTRODUCTION
  • 7.1.1 TYPE: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
  • FIGURE 43 HYBRID NATURAL LANGUAGE PROCESSING TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
  • TABLE 57 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
  • TABLE 58 NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 60 RULE-BASED: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 62 STATISTICAL: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 64 HYBRID: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023-2028 (USD MILLION)

8 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION

• 8.1 INTRODUCTION
  • 8.1.1 APPLICATION: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
  • FIGURE 44 SENTIMENT ANALYSIS APPLICATION TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD
  • TABLE 65 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
  • TABLE 66 NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 68 CUSTOMER EXPERIENCE MANAGEMENT: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 72 SOCIAL MEDIA MONITORING: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 74 SENTIMENT ANALYSIS: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 76 TEXT CLASSIFICATION & SUMMARIZATION: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 78 EMPLOYEE ONBOARDING & RECRUITING: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 82 MACHINE TRANSLATION: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 84 OTHER APPLICATIONS: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023-2028 (USD MILLION)

9 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY

• 9.1 INTRODUCTION
  • 9.1.1 TECHNOLOGY: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
  • FIGURE 45 IMAGE & PATTERN RECOGNITION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • TABLE 85 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 86 NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 88 OPTICAL CHARACTER RECOGNITION: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 90 INTERACTIVE VOICE RESPONSE: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 92 AUTO CODING: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 96 SPEECH ANALYTICS: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 98 IMAGE & PATTERN RECOGNITION: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 100 SIMULATION & MODELLING: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023-2028 (USD MILLION)

10 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL

• 10.1 INTRODUCTION
  • 10.1.1 VERTICAL: NATURAL LANGUAGE PROCESSING MARKET DRIVERS
  • TABLE 101 MAJOR USE CASES, BY VERTICAL
  • FIGURE 46 HEALTHCARE & LIFE SCIENCES VERTICAL TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • TABLE 102 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
  • TABLE 103 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
• 10.2 BFSI
  • TABLE 104 BFSI: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 105 BFSI: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 109 RETAIL & ECOMMERCE: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 113 TRANSPORTATION & LOGISTICS: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 115 GOVERNMENT & PUBLIC SECTOR: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 119 MANUFACTURING: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 121 TELECOM: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 123 OTHER VERTICALS: NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023-2028 (USD MILLION)

11 NATURAL LANGUAGE PROCESSING MARKET, BY REGION

• 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 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
  • TABLE 125 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023-2028 (USD MILLION)

• 11.2 NORTH AMERICA
  • 11.2.1 NORTH AMERICA: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
  • TABLE 128 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 129 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • TABLE 130 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
  • TABLE 131 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
  • TABLE 132 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
  • TABLE 133 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
  • TABLE 134 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 135 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2023-2028 (USD MILLION)
  • TABLE 136 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
  • TABLE 137 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
  • TABLE 138 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
  • TABLE 139 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • TABLE 140 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
  • TABLE 141 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • TABLE 142 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 143 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 144 NORTH AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
  • TABLE 145 NORTH AMERICA: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 149 CANADA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
• 11.3 EUROPE
  • 11.3.1 EUROPE: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
  • TABLE 152 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 153 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • TABLE 154 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
  • TABLE 155 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
  • TABLE 156 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 157 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2023-2028 (USD MILLION)
  • TABLE 158 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
  • TABLE 159 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
  • TABLE 160 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
  • TABLE 161 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
  • TABLE 162 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
  • TABLE 163 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • TABLE 164 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
  • TABLE 165 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • TABLE 166 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 167 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 168 EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
  • TABLE 169 EUROPE: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 173 GERMANY: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 175 FRANCE: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 177 SPAIN: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 11.3.7 REST OF EUROPE
  • TABLE 178 REST OF EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 179 REST OF EUROPE: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
• 11.4 ASIA PACIFIC
  • 11.4.1 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2023-2028 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2023-2028 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
  • TABLE 189 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
  • TABLE 190 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
  • TABLE 191 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
  • TABLE 192 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
  • TABLE 193 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • TABLE 194 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
  • TABLE 195 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • TABLE 196 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 197 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 198 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
  • TABLE 199 ASIA PACIFIC: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 203 JAPAN: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 205 INDIA: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 207 ASEAN COUNTRIES: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 11.4.7 REST OF ASIA PACIFIC
  • TABLE 208 REST OF ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 209 REST OF ASIA PACIFIC: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
• 11.5 MIDDLE EAST & AFRICA
  • 11.5.1 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY/REGION, 2023-2028 (USD MILLION)
  • TABLE 212 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 213 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • TABLE 214 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
  • TABLE 215 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
  • TABLE 216 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 217 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2023-2028 (USD MILLION)
  • TABLE 218 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
  • TABLE 219 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
  • TABLE 220 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
  • TABLE 221 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
  • TABLE 222 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
  • TABLE 223 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • TABLE 224 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
  • TABLE 225 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • TABLE 226 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 227 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 228 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
  • TABLE 229 MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 233 UAE: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 235 SOUTH AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 11.5.6 REST OF MIDDLE EAST & AFRICA
  • TABLE 236 REST OF MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 237 REST OF MIDDLE EAST & AFRICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
• 11.6 LATIN AMERICA
  • 11.6.1 LATIN AMERICA: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
  • TABLE 240 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 241 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • TABLE 242 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2017-2022 (USD MILLION)
  • TABLE 243 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY SOLUTION, 2023-2028 (USD MILLION)
  • TABLE 244 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2017-2022 (USD MILLION)
  • TABLE 245 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY SERVICE, 2023-2028 (USD MILLION)
  • TABLE 246 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2017-2022 (USD MILLION)
  • TABLE 247 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
  • TABLE 248 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2017-2022 (USD MILLION)
  • TABLE 249 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2023-2028 (USD MILLION)
  • TABLE 250 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
  • TABLE 251 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • TABLE 252 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
  • TABLE 253 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • TABLE 254 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
  • TABLE 255 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • TABLE 256 LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
  • TABLE 257 LATIN AMERICA: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING 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: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 261 MEXICO: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 11.6.5 REST OF LATIN AMERICA
  • TABLE 262 REST OF LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
  • TABLE 263 REST OF LATIN AMERICA: NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)

12 COMPETITIVE LANDSCAPE

• 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 MARKET SHARE ANALYSIS, 2020-2022
  • TABLE 265 NATURAL LANGUAGE PROCESSING 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 NATURAL LANGUAGE PROCESSING 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

• (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
  • 13.2.21 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

• 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

• 15.1 DISCUSSION GUIDE
• 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 15.3 CUSTOMIZATION OPTIONS
• 15.4 RELATED REPORTS
• 15.5 AUTHOR DETAILS