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全球金融NLP市场：按产品（软件、服务）、应用（客户服务和支持、风险管理和欺诈检测、情绪分析）、技术（机器学习、深度学习）、行业、地区预测到2028
市场调查报告书
商品编码
1272858

全球金融NLP市场：按产品（软件、服务）、应用（客户服务和支持、风险管理和欺诈检测、情绪分析）、技术（机器学习、深度学习）、行业、地区预测到2028

NLP in Finance Market by Offering (Software, Services), Application (Customer Service and Support, Risk Management and Fraud Detection, Sentiment Analysis), Technology (Machine Learning, Deep Learning), Vertical and Region - Global Forecast to 2028
出版日期: | 出版商: MarketsandMarkets | 英文 364 Pages | 订单完成后即时交付

价格
简介目录

全球金融 NLP 市场预计将从 2023 年的 55 亿美元扩大到 2028 年的 188 亿美元，复合年增长率为 27.6%。

对自动化和高效金融服务的需求不断增长，以及对复杂金融数据的准确和实时分析的需求不断增长，预计将推动市场增长。

通过提供，服务领域的託管服务将在预测期内实现最高的市场增长率

由于金融行业对 NLP 功能的需求不断增长，预计未来几年金融 NLP 託管服务市场将显着增长。 该市场竞争激烈，多家老牌企业为各种规模的金融机构提供范围广泛的 NLP 服务。 这个市场的主要参与者包括 IBM、亚马逊网络服务、谷歌、微软和 SAS。 这些服务使金融机构能够专注于其核心业务，同时将 NLP 任务外包给具有必要基础设施、技术和专业知识的专业人员，以提供准确高效的 NLP 解决方案。。

按行业划分，保险板块将在预测期内实现最快的复合年增长率

保险是一种金融产品，可以保护您免受不可预见的情况和损失。 保险业越来越多地使用 NLP 来改进承保、索赔处理、客户服务和欺诈检测等流程。 NLP 在保险中使用的关键领域之一是承保。 保险公司使用 NLP 分析来自各种来源的大量数据，包括社交媒体、信用评分和医疗记录，以评估风险并确定保费。

在预测期内，北美将占据最大的市场规模

越来越多的精通技术的人、高互联网普及率和人工智能的进步正在推动金融领域使用的 NLP 解决方案的增加。 我们的许多北美客户依靠 NLP 来提高效率、降低成本、改善客户体验并最终改善业务成果。 NLP 的日益普及和渗透使该地区的中小企业和初创企业有可能找到一种具有成本效益和技术效率的方式来建立和推广他们的业务，扩大他们的消费者基础，并接触到更多的人。它进一步鼓励使用 NLP 技术作为技术先进的工具。

内容

第一章介绍

第二章研究方法论

第 3 章执行摘要

第 4 章重要注意事项

第 5 章市场概述和行业趋势

  • 简介
  • 市场动态
    • 司机
    • 约束因素
    • 机会
    • 任务
  • NLP 对金融的伦理和影响
  • 金融 NLP 简史
  • 生态系统分析
  • 金融工具和框架中的 NLP
  • 案例研究分析
  • 供应链分析
  • 监管状况
  • 专利分析
  • 主要会议和活动 (2023-2024)
  • 价格分析
  • 波特的五力分析
  • 主要利益相关者和采购标准
  • 影响金融 NLP 市场买家/客户的趋势/颠覆
  • 金融 NLP 市场的最佳实践
  • 金融领域的 NLP 技术路线图
  • 当前和新兴的商业模式
  • 金融 NLP 对邻近利基技术的影响

第 6 章金融 NLP 市场：通过提供

  • 简介
  • 软件
  • 服务
    • 专业服务
    • 託管服务

第 7 章金融 NLP 市场：按应用

  • 简介
  • 情绪分析
  • 风险管理和欺诈检测
  • 合规监控
  • 投资分析
  • 财经新闻和市场分析
  • 客户服务和支持
  • 文件/合同分析
  • 语音识别/注音符号
  • 语言翻译
  • 其他

第 8 章金融 NLP 市场：按技术分类

  • 简介
  • 机器学习
  • 深度学习
  • 自然语言生成
  • 文本分类
  • 主题模型
  • 情绪检测
  • 其他

第 9 章金融 NLP 市场：按行业分类

  • 简介
  • 银行业
  • 保险
  • 金融服务
  • 其他

第 10 章金融 NLP 市场：按地区

  • 简介
  • 北美
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 意大利
    • 西班牙
    • 瑞士
    • 其他欧洲
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 新加坡
    • 新西兰
    • 亚太其他地区
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 南非
    • 以色列
    • 其他中东和非洲地区
  • 拉丁美洲

第11章竞争格局

  • 概览
  • 主要公司采用的主要战略
  • 利润分析
  • 市场份额分析
  • 企业评估象限
  • 竞争基准
  • 初创公司/中小企业评估象限
  • 初创公司/中小企业的竞争基准
  • 金融 NLP 产品的现状
  • 金融领域主要 NLP 供应商的评估和财务指标
  • 竞争情景和趋势

第12章公司简介

  • 主要公司
    • MICROSOFT
    • IBM
    • GOOGLE
    • AWS
    • ORACLE
    • SAS INSTITUTE
    • QUALTRICS
    • BAIDU
    • INBENTA
    • BASIS TECHNOLOGY
    • NUANCE COMMUNICATIONS
    • EXPERT.AI
    • LIVEPERSON
    • VERITONE
    • AUTOMATED INSIGHTS
    • BITEXT
    • CONVERSICA
    • ACCERN
    • KASISTO
    • KENSHO
    • ABBYY
    • MOSAIC
    • UNIPHORE
  • 新兴/中小企业
    • OBSERVE.AI
    • LILT
    • COGNIGY
    • ADDEPTO
    • SKIT.AI
    • MINDTITAN
    • SUPERTEXT.AI
    • NARRATIVA
    • CRESTA

第 13 章相邻和相关市场

  • 用于医学和生命科学的 NLP
  • 语音分析市场

第14章附录

简介目录
Product Code: TC 8620

The NLP in finance market is projected to grow from USD 5.5 billion in 2023 to USD 18.8 billion by 2028 at a compound annual growth rate (CAGR) of 27.6%. The market is anticipated to grow due to the increasing demand for automated and efficient financial services and rising need for accurate and real-time analysis of complex financial data.

By offering, managed services under services segment to register for fastest growing market rate during forecast period

The market for managed services in NLP in finance is expected to grow significantly in the coming years due to the increasing demand for NLP capabilities in the finance industry. The market is highly competitive, with several established players offering a wide range of NLP services to financial institutions of all sizes. Some of the key players in this market include IBM, Amazon Web Services, Google, Microsoft, and SAS. These services allow financial institutions to focus on their core business while outsourcing NLP tasks to experts who have the necessary infrastructure, technology, and expertise to provide accurate and efficient NLP solutions.

By vertical, insurance segment to register fastest growing CAGR during forecast period

Insurance is a financial product that protects against unforeseen events or losses. NLP is increasingly used in the insurance industry to improve various processes, including underwriting, claims processing, customer service, and fraud detection. One of the key areas where NLP is used in insurance is underwriting. Insurance companies use NLP to analyze large amounts of data from various sources, such as social media, credit scores, and medical records, to assess risk and determine premiums.

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

The presence of a growing tech-savvy population, high internet penetration, and advances in AI has resulted in the growth of NLP solutions used in the finance sector. Most of the customers in North America have been leveraging NLP to improve their efficiency, reduce costs, and enhance the customer experience, ultimately leading to better business outcomes. The rising popularity and higher reach of NLP further empower SMEs and startups in the region to harness NLP technology as a cost-effective and technologically advanced tool for building and promoting business, growing consumer base, and reaching out to a wider audience.

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 in finance market.

  • By Company: Tier I: 38%, Tier II: 50%, and Tier III: 12%
  • By Designation: C-Level Executives: 35%, D-Level Executives: 40%, and Managers: 25%
  • By Region: Asia Pacific: 20%, Europe: 26%, North America: 42%, and the Rest of the World: 12%

The report includes the study of key players offering NLP in finance solutions. It profiles major vendors in the NLP in finance market. The major players in the NLP in finance market include Microsoft (US), IBM (US), Google (US), AWS (US), Oracle (US), SAS Institute (US), Qualtrics (US), Baidu (China), Inbenta (US), Basis Technology (US), Nuance Communications (US), Expert.ai (Italy), LivePerson (US), Veritone (US), Automated Insights (US), Bitext (US), Conversica (US), Accern (US), Kasisto (US), Kensho (US), ABBYY (US), Mosaic (US), Uniphore (US), Observe.AI (US), Lilt (US), Cognigy (Germany), Addepto (Poland), Skit.ai (US), MindTitan (Estonia), Supertext.ai (India), Narrativa (US), and Cresta (US).

Research coverage

The research study for the NLP in finance market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred NLP in finance providers, third-party service providers, consulting service providers, end-users, and other commercial enterprises. In-depth interviews were conducted with primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market's prospects.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall NLP in Finance 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 provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Increasing demand for automated and efficient financial services across the globe, rising need for accurate and real-time analysis of complex financial data, and the emergence of AI and ML models enabling enhanced NLP capabilities in finance), restraints (The lack of standardization in NLP-based financial applications and services, difficulty in managing large volumes of unstructured data, and complexity in developing and training sophisticated NLP models), opportunities (The development of customized NLP solutions for specific financial services and use cases, integration of NLP with blockchain and big data to enhance the accuracy and efficiency of financial operations, and growing adoption of NLP-powered chatbots and virtual assistants), and challenges (The high implementation costs associated with NLP, limited availability of skilled professionals and data privacy concerns associated with the use of NLP in finance).
  • Product Development/Innovation: Detailed insights on upcoming technologies, R&D activities, and product & service launches in the NLP in finance market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the NLP in finance market across regions
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the NLP in finance market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players include Microsoft (US), IBM (US), Google (US), AWS (US), Oracle (US), SAS Institute (US), Qualtrics (US), Baidu (China), Inbenta (US), Basis Technology (US), Nuance Communications (US), Expert.ai (Italy), among others in the NLP in finance market strategies. The report also helps stakeholders understand the pulse of the NLP in finance market and provides them with information on key market drivers, restraints, challenges, and opportunities.

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
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
    • TABLE 1 US DOLLAR EXCHANGE RATE, 2019-2022
  • 1.5 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 NLP IN FINANCE MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Primary interviews
      • 2.1.2.2 Breakup of primary profiles
      • 2.1.2.3 Key industry insights
  • 2.2 DATA TRIANGULATION
    • FIGURE 2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • FIGURE 3 NLP IN FINANCE 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): REVENUE FROM SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET
    • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET
    • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET
    • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF NLP IN FINANCE THROUGH OVERALL SPENDING
  • 2.4 MARKET FORECAST
    • TABLE 2 FACTOR ANALYSIS
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 STUDY LIMITATIONS
  • 2.7 IMPLICATIONS OF RECESSION IMPACT ON NLP IN FINANCE

3 EXECUTIVE SUMMARY

    • TABLE 3 NLP IN FINANCE MARKET SIZE AND GROWTH RATE, 2019-2022 (USD MILLION, Y-O-Y %)
    • TABLE 4 GLOBAL NLP IN FINANCE MARKET SIZE AND GROWTH RATE, 2023-2028 (USD MILLION, Y-O-Y %)
    • FIGURE 8 SOFTWARE SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023
    • FIGURE 9 STATISTICAL NLP SOFTWARE TO ACCOUNT FOR MAJOR MARKET SHARE IN 2023
    • FIGURE 10 PROFESSIONAL SERVICES TO DOMINATE MARKET IN 2023
    • FIGURE 11 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES TO DOMINATE MARKET IN 2023
    • FIGURE 12 RISK MANAGEMENT AND FRAUD DETECTION TO BE LEADING APPLICATION IN 2023
    • FIGURE 13 MACHINE LEARNING TO BE MOST DEPLOYED TECHNOLOGY IN 2023
    • FIGURE 14 INSURANCE VERTICAL SET TO WITNESS FASTEST GROWTH RATE
    • FIGURE 15 NORTH AMERICA TO HOLD LARGEST MARKET SHARE

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN NLP IN FINANCE MARKET
    • FIGURE 16 INCREASING POPULARITY OF CHATBOTS ACROSS FINANCE AND IMPROVING PERFORMANCE OF NLP MODELS TO DRIVE MARKET GROWTH
  • 4.2 NLP IN FINANCE MARKET: TOP THREE APPLICATIONS
    • FIGURE 17 CUSTOMER SERVICE AND SUPPORT APPLICATION SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE
  • 4.3 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING AND VERTICAL
    • FIGURE 18 SOFTWARE AND BANKING TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2023
  • 4.4 NLP IN FINANCE MARKET, BY REGION
    • FIGURE 19 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 20 NLP IN FINANCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increasing demand for automated and efficient financial services worldwide
      • 5.2.1.2 Rising need for accurate and real-time analysis of complex financial data
      • 5.2.1.3 Emergence of AI and ML models
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Lack of standardization in NLP-based financial applications and services
      • 5.2.2.2 Difficulty in managing large volumes of unstructured data
      • 5.2.2.3 Complexity in developing and training sophisticated NLP models
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Development of customized NLP solutions for specific financial services and use cases
      • 5.2.3.2 Integration of NLP with blockchain and big data to enhance accuracy and efficiency of financial operations
      • 5.2.3.3 Growing adoption of NLP-powered chatbots and virtual assistants
    • 5.2.4 CHALLENGES
      • 5.2.4.1 High implementation costs associated with NLP
      • 5.2.4.2 Limited availability of skilled professionals
      • 5.2.4.3 Data privacy concerns associated with use of NLP
  • 5.3 ETHICS AND IMPLICATIONS OF NLP IN FINANCE
    • 5.3.1 BIAS AND FAIRNESS
    • 5.3.2 PRIVACY AND SECURITY
    • 5.3.3 INTELLECTUAL PROPERTY
    • 5.3.4 ACCOUNTABILITY AND RESPONSIBILITY
    • 5.3.5 SOCIETAL AND ECONOMIC IMPACT
  • 5.4 BRIEF HISTORY OF NLP IN FINANCE
    • FIGURE 21 BRIEF HISTORY OF NLP IN FINANCE
  • 5.5 ECOSYSTEM ANALYSIS
    • FIGURE 22 KEY PLAYERS IN NLP IN FINANCE MARKET ECOSYSTEM
    • 5.5.1 NLP IN FINANCE TECHNOLOGY PROVIDERS
    • 5.5.2 NLP IN FINANCE CLOUD PLATFORM PROVIDERS
    • 5.5.3 NLP IN FINANCE API AND AS-A-SERVICE PROVIDERS
    • 5.5.4 NLP IN FINANCE HARDWARE PROVIDERS
    • 5.5.5 NLP IN FINANCE END USERS
    • 5.5.6 NLP IN FINANCE REGULATORS
  • 5.6 NLP IN FINANCE TOOLS AND FRAMEWORK
    • 5.6.1 TENSORFLOW
    • 5.6.2 PYTORCH
    • 5.6.3 KERAS
    • 5.6.4 NLTK
    • 5.6.5 APACHE OPENNLP
    • 5.6.6 SPACY
    • 5.6.7 GENSIM
    • 5.6.8 ALLENNLP
    • 5.6.9 FLAIR
    • 5.6.10 STANFORD CORENLP
  • 5.7 CASE STUDY ANALYSIS
    • 5.7.1 CASE STUDY 1: NATWEST IMPROVED SPEED AND ACCURACY OF COMPLAINT-HANDLING PROCESS THROUGH IBM
    • 5.7.2 CASE STUDY 2: AYASDI'S NLP PLATFORM HELPED J.P. MORGAN CHASE RAMP UP RISK ASSESSMENT TECHNIQUES
    • 5.7.3 CASE STUDY 3: CAPITAL ONE ELIMINATED INEFFICIENCIES IN CUSTOMER QUERY RESOLUTION THROUGH NLP
    • 5.7.4 CASE STUDY 4: BLACKROCK IDENTIFIED NEW INVESTMENT AVENUES BY ANALYZING LARGE VOLUMES OF UNSTRUCTURED DATA
    • 5.7.5 CASE STUDY 5: YSEOP ASSISTED TD AMERITRADE IN DISCOVERING NEW CUSTOMER INSIGHTS
    • 5.7.6 CASE STUDY 6: ALLIANZ WITNESSED SUBSTANTIAL IMPROVEMENT IN INSURANCE CLAIMS PROCESSING THROUGH NLP
    • 5.7.7 CASE STUDY 7: UBS TRAINED DATASETS THROUGH NLP TO AUGMENT RISK MANAGEMENT PROCESSES
    • 5.7.8 CASE STUDY 8: CITI ADDED PERSONALIZED TOUCH TO CUSTOMER RECOMMENDATIONS VIA NLP-BASED QUERY ANALYSIS
    • 5.7.9 CASE STUDY 9: BARCLAYS SCALED ITS TRADING AND INVESTMENT ANALYSIS PROCESSES VIA AYASDI'S NLP TOOL
    • 5.7.10 CASE STUDY 10: GOLDMAN SACHS AUGMENTED ITS FINANCIAL R&D PROWESS
    • 5.7.11 CASE STUDY 11: NLP EMPOWERED KABBAGE WITH SMARTER DECISION-MAKING FOR LOAN DISBURSAL
    • 5.7.12 CASE STUDY 12: CHAINALYSIS DEPLOYED NLP FOR FRAUD PREVENTION IN CRYPTO TRADING
  • 5.8 SUPPLY CHAIN ANALYSIS
    • FIGURE 23 NLP IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS
    • TABLE 5 NLP IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS
  • 5.9 REGULATORY LANDSCAPE
    • 5.9.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 6 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 7 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 8 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 9 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 10 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.9.2 NORTH AMERICA
      • 5.9.2.1 Fair Credit Reporting Act (FCRA)
      • 5.9.2.2 Consumer Financial Protection Act (CFPA)
      • 5.9.2.3 Gramm-Leach-Bliley Act (GLBA)
      • 5.9.2.4 Sarbanes-Oxley Act (SOX)
      • 5.9.2.5 Dodd-Frank Wall Street Reform and Consumer Protection Act
    • 5.9.3 EUROPE
      • 5.9.3.1 Markets in Financial Instruments Directive II (MiFID II)
      • 5.9.3.2 General Data Protection Regulation (GDPR)
      • 5.9.3.3 Payment Services Directive 2 (PSD2)
      • 5.9.3.4 Markets in Financial Instruments Regulation (MiFIR)
      • 5.9.3.5 Anti-Money Laundering (AML) Directive
    • 5.9.4 ASIA PACIFIC
      • 5.9.4.1 Personal Information Protection Act (PIPA) - Japan
      • 5.9.4.2 Personal Data Protection Act (PDPA) - Singapore
      • 5.9.4.3 Information Technology Act (ITA) - India
      • 5.9.4.4 Personal Information Protection Law (PIPL) - China
      • 5.9.4.5 Privacy Act - Australia
    • 5.9.5 LATIN AMERICA
      • 5.9.5.1 General Data Protection Law (LGPD) - Brazil
      • 5.9.5.2 Data Protection Law (Ley de Proteccion de Datos Personales) - Mexico
      • 5.9.5.3 Financial Institutions Law (Ley de Instituciones de Credito) - Mexico
      • 5.9.5.4 Anti-Money Laundering (AML) Law - Colombia
      • 5.9.5.5 Financial Sector Law (Ley del Sector Financiero) - Colombia
    • 5.9.6 MIDDLE EAST AND AFRICA
      • 5.9.6.1 Dubai Financial Services Authority (DFSA) Regulations
      • 5.9.6.2 Financial Sector Regulation (FSR) - South Africa
      • 5.9.6.3 Anti-Money Laundering and Countering Financing of Terrorism (AML/CFT) Regulations - Saudi Arabia
      • 5.9.6.4 Data Protection and Privacy Regulations - Egypt
      • 5.9.6.5 Financial Services Authority (FSA) Regulations - Morocco
  • 5.10 PATENT ANALYSIS
    • 5.10.1 METHODOLOGY
    • 5.10.2 PATENTS FILED, BY DOCUMENT TYPE, 2019-2022
    • TABLE 11 PATENTS FILED, 2019-2022
    • 5.10.3 INNOVATION AND PATENT APPLICATIONS
    • FIGURE 24 TOTAL NUMBER OF PATENTS GRANTED, 2013-2022
    • 5.10.4 TOP APPLICANTS
    • FIGURE 25 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS, 2013-2022
    • TABLE 12 TOP 20 PATENT OWNERS IN NLP IN FINANCE MARKET, 2013-2022
    • TABLE 13 LIST OF PATENTS IN NLP IN FINANCE MARKET, 2021-2023
    • FIGURE 26 REGIONAL ANALYSIS OF PATENTS GRANTED FOR NLP IN FINANCE MARKET, 2013-2022
  • 5.11 KEY CONFERENCES AND EVENTS, 2023-2024
    • TABLE 14 NLP IN FINANCE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
  • 5.12 PRICING ANALYSIS
    • FIGURE 27 INDICATIVE SELLING PRICES OF KEY PLAYERS FOR TOP 3 APPLICATIONS
    • TABLE 15 AVERAGE SELLING PRICING ANALYSIS OF KEY PLAYERS FOR TOP 3 APPLICATIONS (USD)
  • 5.13 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 16 IMPACT OF EACH FORCE ON NLP IN FINANCE MARKET
    • FIGURE 28 NLP IN FINANCE MARKET: PORTER'S FIVE FORCES ANALYSIS
    • 5.13.1 THREAT OF NEW ENTRANTS
    • 5.13.2 THREAT OF SUBSTITUTES
    • 5.13.3 BARGAINING POWER OF SUPPLIERS
    • 5.13.4 BARGAINING POWER OF BUYERS
    • 5.13.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
    • TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
    • 5.14.2 BUYING CRITERIA
    • FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
    • TABLE 18 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
  • 5.15 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF NLP IN FINANCE MARKET
    • FIGURE 31 NLP IN FINANCE MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
  • 5.16 BEST PRACTICES IN NLP IN FINANCE MARKET
    • 5.16.1 DOMAIN-SPECIFIC DATA SELECTION AND DATA CLEANING
    • 5.16.2 FEATURE ENGINEERING
    • 5.16.3 MODEL SELECTION
    • 5.16.4 EVALUATION METRICS
    • 5.16.5 CROSS-VALIDATION
    • 5.16.6 REGULARIZATION
    • 5.16.7 HYPERPARAMETER TUNING
    • 5.16.8 TRANSFER LEARNING
    • 5.16.9 INTERPRETABILITY
    • 5.16.10 REGULATORY COMPLIANCE
    • 5.16.11 BACKTESTING AND DEPLOYMENT
  • 5.17 TECHNOLOGY ROADMAP OF NLP IN FINANCE
    • 5.17.1 NLP IN FINANCE ROADMAP TILL 2030
    • TABLE 19 NLP IN FINANCE ROADMAP TILL 2030
      • 5.17.1.1 Pre-2020
      • 5.17.1.2 2020-2022
      • 5.17.1.3 Short-term (2023-2025)
      • 5.17.1.4 Mid-term (2026-2028)
      • 5.17.1.5 Long-term (2029-2030)
  • 5.18 CURRENT AND EMERGING BUSINESS MODELS
    • 5.18.1 SAAS MODEL
    • 5.18.2 CONSULTING SERVICES MODEL
    • 5.18.3 PARTNER PROGRAMS (REVENUE SHARING MODEL)
    • 5.18.4 PAY-PER-USE MODEL
  • 5.19 NLP IN FINANCE'S IMPACT ON ADJACENT NICHE TECHNOLOGIES
    • 5.19.1 HIGH-FREQUENCY TRADING AND ELECTRONIC TRADING PLATFORMS
    • 5.19.2 FINANCIAL CYBERSECURITY
    • 5.19.3 REGULATORY TECHNOLOGY (REGTECH)

6 NLP IN FINANCE MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 OFFERING: NLP IN FINANCE MARKET DRIVERS
    • FIGURE 32 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 20 NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 21 NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 6.2 SOFTWARE
    • TABLE 22 SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 23 SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.2.1 NLP IN FINANCE SOFTWARE, BY SOFTWARE TYPE
    • FIGURE 33 STATISTICAL NLP SOFTWARE TO HOLD LARGEST MARKET SHARE IN 2023
    • TABLE 24 SOFTWARE: NLP IN FINANCE MARKET, BY SOFTWARE TYPE, 2019-2022 (USD MILLION)
    • TABLE 25 SOFTWARE: NLP IN FINANCE MARKET, BY SOFTWARE TYPE, 2023-2028 (USD MILLION)
      • 6.2.1.1 Rule-based NLP Software
        • 6.2.1.1.1 Rule-based NLP software to help financial institutions automate compliance and risk management processes
    • TABLE 26 RULE-BASED NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 27 RULE-BASED NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
          • 6.2.1.1.1.1 Regular Expression (Regex)
          • 6.2.1.1.1.2 Finite State Machines (FSMs)
          • 6.2.1.1.1.3 Named Entity Recognition (NER)
          • 6.2.1.1.1.4 Part-of-Speech (POS) Tagging
      • 6.2.1.2 Statistical NLP Software
        • 6.2.1.2.1 Statistical NLP software to analyze large volumes of unstructured data
    • TABLE 28 STATISTICAL NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 29 STATISTICAL NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
          • 6.2.1.2.1.1 Naive Bayes
          • 6.2.1.2.1.2 Logistic Regression
          • 6.2.1.2.1.3 Support Vector Machines (SVMs)
          • 6.2.1.2.1.4 Recurrent Neural Networks (RNNs)
      • 6.2.1.3 Hybrid NLP Software
        • 6.2.1.3.1 Hybrid NLP to combine strengths of rule-based and statistical approaches
    • TABLE 30 HYBRID NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 31 HYBRID NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
          • 6.2.1.3.1.1 Latent Dirichlet Allocation (LDA)
          • 6.2.1.3.1.2 Hidden Markov Models (HMMs)
          • 6.2.1.3.1.3 Conditional Random Fields (CRFs)
  • 6.3 SERVICES
    • FIGURE 34 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR IN NLP IN FINANCE MARKET FOR SERVICES DURING FORECAST PERIOD
    • TABLE 32 NLP IN FINANCE MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 33 NLP IN FINANCE MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 34 SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 35 SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.1 PROFESSIONAL SERVICES
      • 6.3.1.1 Professional services to offer specialized expertise in NLP in finance
    • FIGURE 35 TRAINING AND CONSULTING SERVICES SUB-SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 36 SERVICES: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019-2022 (USD MILLION)
    • TABLE 37 SERVICES: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 38 PROFESSIONAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 39 PROFESSIONAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
        • 6.3.1.1.1 Training and consulting services
    • TABLE 40 TRAINING AND CONSULTING SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 41 TRAINING AND CONSULTING SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
        • 6.3.1.1.2 System integration and implementation services
    • TABLE 42 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 43 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
        • 6.3.1.1.3 Support and maintenance services
    • TABLE 44 SUPPORT AND MAINTENANCE SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 45 SUPPORT AND MAINTENANCE SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.2 MANAGED SERVICES
      • 6.3.2.1 Managed services to provide end-to-end management to help businesses focus on core competencies
    • TABLE 46 MANAGED SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 47 MANAGED SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)

7 NLP IN FINANCE MARKET, BY APPLICATION

  • 7.1 INTRODUCTION
    • 7.1.1 APPLICATION: NLP IN FINANCE MARKET DRIVERS
    • FIGURE 36 NATURAL LANGUAGE GENERATION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
    • TABLE 48 NLP IN FINANCE MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 49 NLP IN FINANCE MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • 7.2 SENTIMENT ANALYSIS
    • 7.2.1 SENTIMENT ANALYSIS TO IDENTIFY AND MITIGATE POTENTIAL FINANCIAL RISKS
    • TABLE 50 SENTIMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 51 SENTIMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.2.1.1 Brand reputation management
      • 7.2.1.2 Market sentiment analysis
      • 7.2.1.3 Customer feedback analysis
      • 7.2.1.4 Product review analysis
      • 7.2.1.5 Social media monitoring
  • 7.3 RISK MANAGEMENT AND FRAUD DETECTION
    • 7.3.1 NLP TO IMPROVE SPEED AND ACCURACY OF RISK IDENTIFICATION AND FRAUD DETECTION
    • TABLE 52 RISK MANAGEMENT AND FRAUD DETECTION: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 53 RISK MANAGEMENT AND FRAUD DETECTION: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.3.1.1 Credit risk assessment
      • 7.3.1.2 Fraud Detection and Prevention
      • 7.3.1.3 Anti-money laundering (AML)
      • 7.3.1.4 Compliance monitoring
      • 7.3.1.5 Cybersecurity threat detection
  • 7.4 COMPLIANCE MONITORING
    • 7.4.1 NLP TO ANALYZE FINANCIAL TRANSACTIONS AND IDENTIFY POTENTIAL NON-COMPLIANCE ISSUES
    • TABLE 54 COMPLIANCE MONITORING: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 55 COMPLIANCE MONITORING: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.4.1.1 Regulatory compliance monitoring
      • 7.4.1.2 KYC/AML compliance monitoring
      • 7.4.1.3 Legal and policy compliance monitoring
      • 7.4.1.4 Audit trail monitoring
      • 7.4.1.5 Trade surveillance
  • 7.5 INVESTMENT ANALYSIS
    • 7.5.1 FINANCIAL INSTITUTIONS INVESTING IN NLP TECHNOLOGY TO HAVE COMPETITIVE EDGE
    • TABLE 56 INVESTMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 57 INVESTMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.5.1.1 Asset allocation and portfolio optimization
      • 7.5.1.2 Equity research and analysis
      • 7.5.1.3 Quantitative analysis and modeling
      • 7.5.1.4 Investment recommendations and planning
      • 7.5.1.5 Risk management and prediction
      • 7.5.1.6 Investment opportunity identification
  • 7.6 FINANCIAL NEWS AND MARKET ANALYSIS
    • 7.6.1 NLP ALGORITHMS TO PREDICT HOW MARKETS REACT AND HELP INVESTORS MAKE INFORMED INVESTMENT DECISIONS
    • TABLE 58 FINANCIAL NEWS AND MARKET ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 59 FINANCIAL NEWS AND MARKET ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.6.1.1 Financial news analysis
      • 7.6.1.2 Stock market prediction
      • 7.6.1.3 Macroeconomic analysis
  • 7.7 CUSTOMER SERVICE AND SUPPORT
    • 7.7.1 ADOPTION OF INTELLIGENT CHATBOTS AND CUSTOMER SUPPORT SYSTEMS TO DRIVE GROWTH
    • TABLE 60 CUSTOMER SERVICE AND SUPPORT: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 61 CUSTOMER SERVICE AND SUPPORT: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.7.1.1 Chatbots and virtual assistants
      • 7.7.1.2 Personalized support and service
      • 7.7.1.3 Compliant resolution
      • 7.7.1.4 Query resolution and escalation management
      • 7.7.1.5 Self-service options
      • 7.7.1.6 Multilingual customer service and support
  • 7.8 DOCUMENT AND CONTRACT ANALYSIS
    • 7.8.1 DOCUMENT AND CONTRACT ANALYSIS TO STREAMLINE DATA PROCESSING WORKFLOWS
    • TABLE 62 DOCUMENT AND CONTRACT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 63 DOCUMENT AND CONTRACT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.8.1.1 Contract management
      • 7.8.1.2 Legal document analysis
      • 7.8.1.3 Due diligence analysis
      • 7.8.1.4 Data extraction and normalization
  • 7.9 SPEECH RECOGNITION AND TRANSCRIPTION
    • 7.9.1 POWERFUL TOOL TO CAPTURE AND ANALYZE VOICE DATA AND ENSURE COMPLIANCE
    • TABLE 64 SPEECH RECOGNITION AND TRANSCRIPTION: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 65 SPEECH RECOGNITION AND TRANSCRIPTION: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.9.1.1 Voice-enabled search and navigation
      • 7.9.1.2 Speech-to-text conversion
      • 7.9.1.3 Call transcription and analysis
      • 7.9.1.4 Voice biometrics and authentication
      • 7.9.1.5 Speech-enabled virtual assistants
  • 7.10 LANGUAGE TRANSLATION
    • 7.10.1 AUTOMATING REPORT WRITING AND PERSONALIZED FINANCIAL ADVICE TO DRIVE UPTAKE OF LANGUAGE TRANSLATION TOOLS
    • TABLE 66 LANGUAGE TRANSLATION: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 67 LANGUAGE TRANSLATION: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 7.10.1.1 Financial document translation
      • 7.10.1.2 Investment research translation
      • 7.10.1.3 Cross-border business communication
      • 7.10.1.4 Localization and internationalization
  • 7.11 OTHER APPLICATIONS
    • TABLE 68 OTHER APPLICATIONS: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 69 OTHER APPLICATIONS: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)

8 NLP IN FINANCE MARKET, BY TECHNOLOGY

  • 8.1 INTRODUCTION
    • 8.1.1 TECHNOLOGY: NLP IN FINANCE MARKET DRIVERS
    • FIGURE 37 DEEP LEARNING SEGMENT TO GROW AT HIGHER CAGR
    • TABLE 70 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 71 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • 8.2 MACHINE LEARNING
    • 8.2.1 MACHINE LEARNING TO BE EXTENSIVELY DEPLOYED TO PREDICT FINANCIAL MARKET INSIGHTS
    • TABLE 72 MACHINE LEARNING: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 73 MACHINE LEARNING: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 8.2.1.1 Supervised learning
      • 8.2.1.2 Unsupervised learning
      • 8.2.1.3 Reinforcement learning
  • 8.3 DEEP LEARNING
    • 8.3.1 DEEP LEARNING TO PLAY CRITICAL ROLE IN ADVANCING NLP DEVELOPMENTS
    • TABLE 74 DEEP LEARNING: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 75 DEEP LEARNING: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 8.3.1.1 Convolutional neural networks (CNN)
      • 8.3.1.2 Recurrent neural networks (RNN)
      • 8.3.1.3 Transformer models (BERT, GPT-3, etc.)
  • 8.4 NATURAL LANGUAGE GENERATION
    • 8.4.1 FINANCIAL INSTITUTIONS TO INCREASINGLY ADOPT NLG TO IMPROVE EFFICIENCY AND REDUCE COSTS
    • TABLE 76 NATURAL LANGUAGE GENERATION: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 77 NATURAL LANGUAGE GENERATION: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 8.4.1.1 Automated report writing
      • 8.4.1.2 Customer communication
      • 8.4.1.3 Financial document generation
  • 8.5 TEXT CLASSIFICATION
    • 8.5.1 TEXT CLASSIFICATION TO ANALYZE MARKET SENTIMENTS IN FINANCE
    • TABLE 78 TEXT CLASSIFICATION: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 79 TEXT CLASSIFICATION: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 8.5.1.1 Sentiment classification
      • 8.5.1.2 Intent classification
  • 8.6 TOPIC MODELING
    • 8.6.1 TOPIC MODELING TO EXTRACT INSIGHTS FROM FINANCIAL NEWS ARTICLES
    • TABLE 80 TOPIC MODELING: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 81 TOPIC MODELING: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 8.6.1.1 Topic identification
      • 8.6.1.2 Topic clustering
      • 8.6.1.3 Topic visualization
  • 8.7 EMOTION DETECTION
    • 8.7.1 EMOTION DETECTION TO IMPROVE SENTIMENT ANALYSIS IN FINANCIAL DISCOURSE
    • TABLE 82 EMOTION DETECTION: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 83 EMOTION DETECTION: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 8.7.1.1 Emotion recognition
      • 8.7.1.2 Emotion classification
  • 8.8 OTHER TECHNOLOGIES
    • 8.8.1 NER AND EVENT EXTRACTION TO FACE SPIKE IN HANDLING UNSTRUCTURED FINANCIAL DATA
    • TABLE 84 OTHER TECHNOLOGIES: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 85 OTHER TECHNOLOGIES: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)

9 NLP IN FINANCE MARKET, BY VERTICAL

  • 9.1 INTRODUCTION
    • 9.1.1 VERTICAL: NLP IN FINANCE MARKET DRIVERS
    • FIGURE 38 INSURANCE SEGMENT TO GROW AT HIGHEST CAGR
    • TABLE 86 NLP IN FINANCE MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 87 NLP IN FINANCE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
  • 9.2 BANKING
    • 9.2.1 NLP TO IMPROVE EFFICIENCY, ACCURACY, AND CUSTOMER EXPERIENCE
    • 9.2.2 NLP IN FINANCE: BANKING USE CASES
    • TABLE 88 BANKING: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 89 BANKING: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 9.2.2.1 Retail banking
      • 9.2.2.2 Corporate banking
      • 9.2.2.3 Investment banking
      • 9.2.2.4 Wealth management
  • 9.3 INSURANCE
    • 9.3.1 INSURANCE COMPANIES TO ANALYZE LARGE AMOUNTS OF DATA USING NLP
    • 9.3.2 NLP IN FINANCE: INSURANCE USE CASES
    • TABLE 90 INSURANCE: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 91 INSURANCE: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 9.3.2.1 Life insurance
      • 9.3.2.2 Property and casualty insurance
      • 9.3.2.3 Health insurance
  • 9.4 FINANCIAL SERVICES
    • 9.4.1 USE OF NLP TO GROW IN FINTECH
    • 9.4.2 NLP IN FINANCE: FINANCIAL SERVICES USE CASES
    • TABLE 92 FINANCIAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 93 FINANCIAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
      • 9.4.2.1 Credit rating
      • 9.4.2.2 Payment processing and remitting
      • 9.4.2.3 Accounting and auditing
      • 9.4.2.4 Personal finance management
      • 9.4.2.5 Robo-advisory
      • 9.4.2.6 Cryptocurrencies and blockchain
      • 9.4.2.7 Stock movement prediction
      • 9.4.2.8 Others
  • 9.5 OTHER ENTERPRISE VERTICALS
    • 9.5.1 NLP IN FINANCE TO MAKE INROADS ACROSS FINANCIAL OPERATIONS
      • 9.5.1.1 Healthcare and life sciences
      • 9.5.1.2 Manufacturing
      • 9.5.1.3 Retail and eCommerce
      • 9.5.1.4 Energy & utilities
      • 9.5.1.5 Transportation and logistics
      • 9.5.1.6 Others

10 NLP IN FINANCE MARKET, BY REGION

  • 10.1 INTRODUCTION
    • FIGURE 39 ASIA PACIFIC NLP IN FINANCE MARKET TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • FIGURE 40 INDIA TO REGISTER HIGHEST CAGR IN NLP IN FINANCE
    • TABLE 94 NLP IN FINANCE MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 95 NLP IN FINANCE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: NLP IN FINANCE MARKET DRIVERS
    • 10.2.2 NORTH AMERICA: RECESSION IMPACT
    • FIGURE 41 NORTH AMERICA: SNAPSHOT OF NLP IN FINANCE MARKET
    • TABLE 96 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 97 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 98 NORTH AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 99 NORTH AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 100 NORTH AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 101 NORTH AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 102 NORTH AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019-2022 (USD MILLION)
    • TABLE 103 NORTH AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 104 NORTH AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 105 NORTH AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 106 NORTH AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 107 NORTH AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 108 NORTH AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 109 NORTH AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 110 NORTH AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 111 NORTH AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.2.3 US
      • 10.2.3.1 US to implement NLP for real-time data analysis
    • TABLE 112 US: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 113 US: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.2.4 CANADA
      • 10.2.4.1 Canadian banks to use NLP-powered chatbots to interact with customers
    • TABLE 114 CANADA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 115 CANADA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 10.3 EUROPE
    • 10.3.1 EUROPE: NLP IN FINANCE MARKET DRIVERS
    • 10.3.2 EUROPE: RECESSION IMPACT
    • TABLE 116 EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 117 EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 118 EUROPE: NLP IN FINANCE MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 119 EUROPE: NLP IN FINANCE MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 120 EUROPE: NLP IN FINANCE MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 121 EUROPE: NLP IN FINANCE MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 122 EUROPE: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019-2022 (USD MILLION)
    • TABLE 123 EUROPE: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 124 EUROPE: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 125 EUROPE: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 126 EUROPE: NLP IN FINANCE MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 127 EUROPE: NLP IN FINANCE MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 128 EUROPE: NLP IN FINANCE MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 129 EUROPE: NLP IN FINANCE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 130 EUROPE: NLP IN FINANCE MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 131 EUROPE: NLP IN FINANCE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.3.3 UK
      • 10.3.3.1 UK companies to leverage NLP to improve operations and gain competitive edge
    • TABLE 132 UK: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 133 UK: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.3.4 GERMANY
      • 10.3.4.1 Adoption of NLP to be driven by regulatory compliance, cost reduction, and better customer experience
    • TABLE 134 GERMANY: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 135 GERMANY: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.3.5 FRANCE
      • 10.3.5.1 France to witness emergence of AI-based chatbots using NLP
    • TABLE 136 FRANCE: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 137 FRANCE: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.3.6 ITALY
      • 10.3.6.1 NLP to help financial institutions analyze large volumes of data efficiently and accurately
    • TABLE 138 ITALY: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 139 ITALY: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.3.7 SPAIN
      • 10.3.7.1 NLP to significantly improve customer service and reduce operating costs in banking
    • TABLE 140 SPAIN: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 141 SPAIN: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.3.8 SWITZERLAND
      • 10.3.8.1 Swiss banks and financial institutions to invest in NLP to gain competitive advantage
    • TABLE 142 SWITZERLAND: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 143 SWITZERLAND: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.3.9 REST OF EUROPE
    • TABLE 144 REST OF EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 145 REST OF EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: NLP IN FINANCE MARKET DRIVERS
    • 10.4.2 ASIA PACIFIC: RECESSION IMPACT
    • FIGURE 42 ASIA PACIFIC: SNAPSHOT OF NLP IN FINANCE MARKET
    • TABLE 146 ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 147 ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 148 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 149 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 150 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 151 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 152 ASIA PACIFIC: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019-2022 (USD MILLION)
    • TABLE 153 ASIA PACIFIC: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 154 ASIA PACIFIC: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 155 ASIA PACIFIC: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 156 ASIA PACIFIC: NLP IN FINANCE MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 157 ASIA PACIFIC: NLP IN FINANCE MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 158 ASIA PACIFIC: NLP IN FINANCE MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 159 ASIA PACIFIC: NLP IN FINANCE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 160 ASIA PACIFIC: NLP IN FINANCE MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 161 ASIA PACIFIC: NLP IN FINANCE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.4.3 CHINA
      • 10.4.3.1 NLP solutions to develop as demand for digital transformation increases
    • TABLE 162 CHINA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 163 CHINA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.4.4 INDIA
      • 10.4.4.1 Adoption of NLP in banking to be influenced by startups and Digital India movement
    • TABLE 164 INDIA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 165 INDIA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.4.5 JAPAN
      • 10.4.5.1 NLP potential to be unlocked in Japan's finance markets
    • TABLE 166 JAPAN: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 167 JAPAN: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.4.6 SOUTH KOREA
      • 10.4.6.1 NLP to change financial sector by improving consumer experience
    • TABLE 168 SOUTH KOREA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 169 SOUTH KOREA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.4.7 SINGAPORE
      • 10.4.7.1 Singapore to improve its financial services and stay competitive using NLP
    • TABLE 170 SINGAPORE: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 171 SINGAPORE: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.4.8 ANZ
      • 10.4.8.1 NLP solutions to gain more prominence due to technology development
    • TABLE 172 ANZ: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 173 ANZ: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.4.9 REST OF ASIA PACIFIC
    • TABLE 174 REST OF ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 175 REST OF ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET DRIVERS
    • 10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
    • TABLE 176 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 177 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 178 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 179 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 180 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 181 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 182 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019-2022 (USD MILLION)
    • TABLE 183 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 184 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 185 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 186 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 187 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 188 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 189 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 190 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 191 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.5.3 SAUDI ARABIA
      • 10.5.3.1 Saudi Arabia to embrace NLP to drive economic growth
    • TABLE 192 SAUDI ARABIA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 193 SAUDI ARABIA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.5.4 UAE
      • 10.5.4.1 Several UAE startups to leverage NLP to drive innovation
    • TABLE 194 UAE: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 195 UAE: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.5.5 SOUTH AFRICA
      • 10.5.5.1 South Africa to witness several developments in NLP
    • TABLE 196 SOUTH AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 197 SOUTH AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.5.6 ISRAEL
      • 10.5.6.1 Adoption of NLP to position country as leader in technological advancements
    • TABLE 198 ISRAEL: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 199 ISRAEL: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • 10.5.7 REST OF MIDDLE EAST & AFRICA
    • TABLE 200 REST OF MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 201 REST OF MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: NLP IN FINANCE MARKET DRIVERS
    • 10.6.2 LATIN AMERICA: RECESSION IMPACT
    • TABLE 202 LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 203 LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 204 LATIN AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019-2022 (USD MILLION)
    • TABLE 205 LATIN AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023-2028 (USD MILLION)
    • TABLE 206 LATIN AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2019-2022 (USD MILLION)
    • TABLE 207 LATIN AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2023-2028 (USD MILLION)
    • TABLE 208 LATIN AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019-2022 (USD MILLION)
    • TABLE 209 LATIN AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023-2028 (USD MILLION)
    • TABLE 210 LATIN AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 211 LATIN AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 212 LATIN AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019-2022 (USD MILLION)
    • TABLE 213 LATIN AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 214 LATIN AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019-2022 (USD MILLION)
    • TABLE 215 LATIN AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 216 LATIN AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 217 LATIN AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
      • 10.6.2.1 Brazil
        • 10.6.2.1.1 NLP to be used in customer service
    • TABLE 218 BRAZIL: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 219 BRAZIL: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
      • 10.6.2.2 Mexico
        • 10.6.2.2.1 NLP to witness wide adoption in finance
    • TABLE 220 MEXICO: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 221 MEXICO: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
      • 10.6.2.3 Argentina
        • 10.6.2.3.1 Advancements in NLP to change ways how financial institutions interact with customers
    • TABLE 222 ARGENTINA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 223 ARGENTINA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
      • 10.6.2.4 Rest of Latin America
    • TABLE 224 REST OF LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019-2022 (USD MILLION)
    • TABLE 225 REST OF LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023-2028 (USD MILLION)

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS
    • TABLE 226 OVERVIEW OF STRATEGIES ADOPTED BY KEY NLP IN FINANCE VENDORS
  • 11.3 REVENUE ANALYSIS
    • 11.3.1 HISTORIC REVENUE ANALYSIS
    • FIGURE 43 HISTORIC REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020-2022 (USD MILLION)
  • 11.4 MARKET SHARE ANALYSIS
    • FIGURE 44 MARKET SHARE ANALYSIS FOR KEY COMPANIES IN 2022
    • TABLE 227 NLP IN FINANCE MARKET: DEGREE OF COMPETITION
  • 11.5 COMPANY EVALUATION QUADRANT
    • 11.5.1 STARS
    • 11.5.2 EMERGING LEADERS
    • 11.5.3 PERVASIVE PLAYERS
    • 11.5.4 PARTICIPANTS
    • FIGURE 45 NLP IN FINANCE MARKET: COMPANY EVALUATION QUADRANT, 2022
  • 11.6 COMPETITIVE BENCHMARKING
    • TABLE 228 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
    • TABLE 229 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022
  • 11.7 STARTUP/SME EVALUATION QUADRANT
    • 11.7.1 PROGRESSIVE COMPANIES
    • 11.7.2 RESPONSIVE COMPANIES
    • 11.7.3 DYNAMIC COMPANIES
    • 11.7.4 STARTING BLOCKS
    • FIGURE 46 STARTUPS/SMES: COMPANY EVALUATION QUADRANT, 2022
  • 11.8 STARTUP/SME COMPETITIVE BENCHMARKING
    • TABLE 230 NLP IN FINANCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
    • TABLE 231 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/ SMES, 2022
  • 11.9 NLP IN FINANCE PRODUCT LANDSCAPE
    • 11.9.1 PROMINENT NAMED SENTIMENT ANALYSIS PRODUCTS
    • TABLE 232 COMPARATIVE ANALYSIS OF PROMINENT NAMED SENTIMENT ANALYSIS PRODUCTS
      • 11.9.1.1 Lexalytics
      • 11.9.1.2 Aylien
      • 11.9.1.3 Google Cloud
      • 11.9.1.4 IBM Watson
      • 11.9.1.5 Amazon Comprehend
    • 11.9.2 PROMINENT NAMED ENTITY RECOGNITION PRODUCTS
    • TABLE 233 COMPARATIVE ANALYSIS OF PROMINENT NAMED ENTITY RECOGNITION PRODUCTS
      • 11.9.2.1 Rosette
      • 11.9.2.2 Spacy
      • 11.9.2.3 Basis Tech
      • 11.9.2.4 Expert.AI
      • 11.9.2.5 MeaningCloud
    • 11.9.3 PROMINENT TOPIC MODELING PRODUCTS
    • TABLE 234 COMPARATIVE ANALYSIS OF PROMINENT TOPIC MODELING PRODUCTS
      • 11.9.3.1 Gensim
      • 11.9.3.2 Mallet
      • 11.9.3.3 LDAvis
      • 11.9.3.4 bigARTM
      • 11.9.3.5 Stanford NLP
    • 11.9.4 PROMINENT TEXT CLASSIFICATION PRODUCTS
    • TABLE 235 COMPARATIVE ANALYSIS OF PROMINENT TEXT CLASSIFICATION PRODUCTS
      • 11.9.4.1 MonkeyLearn
      • 11.9.4.2 Datumbox
      • 11.9.4.3 OpenAI
      • 11.9.4.4 Hugging Face
      • 11.9.4.5 TensorFlow
    • 11.9.5 PROMINENT DOCUMENT CLASSIFICATION PRODUCTS
    • TABLE 236 COMPARATIVE ANALYSIS OF PROMINENT DOCUMENT CLASSIFICATION PRODUCTS
      • 11.9.5.1 Azure Cognitive Services Text Analytics
      • 11.9.5.2 OpenText Magellan
      • 11.9.5.3 RapidMiner
      • 11.9.5.4 Prodigy By Explosion AI
      • 11.9.5.5 KNIME Analytics Platform
  • 11.10 VALUATION AND FINANCIAL METRICS OF KEY NLP IN FINANCE VENDORS
    • FIGURE 47 VALUATION AND FINANCIAL METRICS OF KEY NLP IN FINANCE VENDORS
  • 11.11 COMPETITIVE SCENARIO AND TRENDS
    • 11.11.1 PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 237 SERVICE/PRODUCT LAUNCHES, 2020-2023
    • 11.11.2 DEALS
    • TABLE 238 DEALS, 2021-2023

12 COMPANY PROFILES

  • 12.1 INTRODUCTION
  • (Business Overview, Software/Services offered, Recent Developments, MnM view, Key strengths, Strategic choices, Weakness and competitive threats)**
  • 12.2 KEY PLAYERS
    • 12.2.1 MICROSOFT
    • TABLE 239 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 48 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 240 MICROSOFT: SOFTWARE/SERVICES OFFERED
    • TABLE 241 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 242 MICROSOFT: DEALS
    • 12.2.2 IBM
    • TABLE 243 IBM: BUSINESS OVERVIEW
    • FIGURE 49 IBM: COMPANY SNAPSHOT
    • TABLE 244 IBM: SOFTWARE/SERVICES OFFERED
    • TABLE 245 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 246 IBM: DEALS
    • 12.2.3 GOOGLE
    • TABLE 247 GOOGLE: BUSINESS OVERVIEW
    • FIGURE 50 GOOGLE: COMPANY SNAPSHOT
    • TABLE 248 GOOGLE: SOFTWARE/SERVICES OFFERED
    • TABLE 249 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 250 GOOGLE: DEALS
    • 12.2.4 AWS
    • TABLE 251 AWS: BUSINESS OVERVIEW
    • FIGURE 51 AWS: COMPANY SNAPSHOT
    • TABLE 252 AWS: SOFTWARE/SERVICES OFFERED
    • TABLE 253 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 254 AWS: DEALS
    • 12.2.5 ORACLE
    • TABLE 255 ORACLE: BUSINESS OVERVIEW
    • FIGURE 52 ORACLE: COMPANY SNAPSHOT
    • TABLE 256 ORACLE: SOFTWARE/SERVICES OFFERED
    • TABLE 257 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 258 ORACLE: DEALS
    • 12.2.6 SAS INSTITUTE
    • TABLE 259 SAS INSTITUTE: BUSINESS OVERVIEW
    • TABLE 260 SAS INSTITUTE: SOFTWARE/SERVICES OFFERED
    • TABLE 261 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 262 SAS INSTITUTE: DEALS
    • 12.2.7 QUALTRICS
    • TABLE 263 QUALTRICS: BUSINESS OVERVIEW
    • FIGURE 53 QUALTRICS: COMPANY SNAPSHOT
    • TABLE 264 QUALTRICS: SOFTWARE/SERVICES OFFERED
    • TABLE 265 QUALTRICS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 266 QUALTRICS: DEALS
    • 12.2.8 BAIDU
    • TABLE 267 BAIDU: BUSINESS OVERVIEW
    • FIGURE 54 BAIDU: COMPANY SNAPSHOT
    • TABLE 268 BAIDU: SOFTWARE/SERVICES OFFERED
    • TABLE 269 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
    • 12.2.9 INBENTA
    • TABLE 270 INBENTA: BUSINESS OVERVIEW
    • TABLE 271 INBENTA: SOFTWARE/SERVICES OFFERED
    • TABLE 272 INBENTA: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 273 INBENTA: DEALS
    • 12.2.10 BASIS TECHNOLOGY
    • TABLE 274 BASIS TECHNOLOGY: BUSINESS OVERVIEW
    • TABLE 275 BASIS TECHNOLOGY: SOFTWARE/SERVICES OFFERED
    • TABLE 276 BASIS TECHNOLOGY: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 277 BASIS TECHNOLOGY: DEALS
    • 12.2.11 NUANCE COMMUNICATIONS
    • TABLE 278 NUANCE COMMUNICATIONS: BUSINESS OVERVIEW
    • FIGURE 55 NUANCE COMMUNICATIONS: COMPANY SNAPSHOT
    • TABLE 279 NUANCE COMMUNICATIONS: SOFTWARE/SERVICES OFFERED
    • TABLE 280 NUANCE COMMUNICATIONS: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 281 NUANCE COMMUNICATIONS: DEALS
    • 12.2.12 EXPERT.AI
    • TABLE 282 EXPERT.AI: BUSINESS OVERVIEW
    • FIGURE 56 EXPERT.AI: COMPANY SNAPSHOT
    • TABLE 283 EXPERT.AI: SOFTWARE/SERVICES OFFERED
    • TABLE 284 EXPERT.AI: PRODUCT LAUNCHES AND ENHANCEMENTS
    • TABLE 285 EXPERT.AI: DEALS
    • 12.2.13 LIVEPERSON
    • 12.2.14 VERITONE
    • 12.2.15 AUTOMATED INSIGHTS
    • 12.2.16 BITEXT
    • 12.2.17 CONVERSICA
    • 12.2.18 ACCERN
    • 12.2.19 KASISTO
    • 12.2.20 KENSHO
    • 12.2.21 ABBYY
    • 12.2.22 MOSAIC
    • 12.2.23 UNIPHORE
  • *Details on Business Overview, Software/Services offered, Recent Developments, MnM view, Key strengths, Strategic choices, Weakness and competitive threats might not be captured in case of unlisted companies.
  • 12.3 STARTUP/SME PROFILES
    • 12.3.1 OBSERVE.AI
    • 12.3.2 LILT
    • 12.3.3 COGNIGY
    • 12.3.4 ADDEPTO
    • 12.3.5 SKIT.AI
    • 12.3.6 MINDTITAN
    • 12.3.7 SUPERTEXT.AI
    • 12.3.8 NARRATIVA
    • 12.3.9 CRESTA

13 ADJACENT AND RELATED MARKETS

  • 13.1 NLP IN HEALTHCARE & LIFE SCIENCES
    • 13.1.1 MARKET DEFINITION
    • 13.1.2 MARKET OVERVIEW
      • 13.1.2.1 NLP in healthcare & life sciences market, by component
    • TABLE 286 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY COMPONENT, 2017-2021 (USD MILLION)
    • TABLE 287 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
    • TABLE 288 SOLUTIONS: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017-2021 (USD MILLION)
    • TABLE 289 SOLUTIONS: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022-2027 (USD MILLION)
    • TABLE 290 NLP IN HEALTHCARE & LIFE SCIENCES SOLUTIONS MARKET, BY TYPE, 2017-2021 (USD MILLION)
    • TABLE 291 NLP IN HEALTHCARE & LIFE SCIENCES SOLUTIONS MARKET, BY TYPE, 2022-2027 (USD MILLION)
    • TABLE 292 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2017-2021 (USD MILLION)
    • TABLE 293 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2022-2027 (USD MILLION)
    • TABLE 294 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017-2021 (USD MILLION)
    • TABLE 295 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022-2027 (USD MILLION)
      • 13.1.2.2 NLP in healthcare & life sciences market, by type
    • TABLE 296 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2017-2021 (USD MILLION)
    • TABLE 297 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2022-2027 (USD MILLION)
      • 13.1.2.3 NLP in healthcare & life sciences market, by application
    • TABLE 298 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY APPLICATION, 2017-2021 (USD MILLION)
    • TABLE 299 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • 13.1.2.4 NLP in healthcare & life sciences market, by size
    • TABLE 300 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY SIZE, 2017-2021 (USD MILLION)
    • TABLE 301 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY SIZE, 2022-2027 (USD MILLION)
      • 13.1.2.5 NLP in healthcare & life sciences market, by deployment mode
    • TABLE 302 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY DEPLOYMENT MODE, 2017-2021 (USD MILLION)
    • TABLE 303 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
      • 13.1.2.6 NLP in healthcare & life sciences market, by technique
    • TABLE 304 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TECHNIQUE, 2017-2021 (USD MILLION)
    • TABLE 305 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TECHNIQUE, 2022-2027 (USD MILLION)
      • 13.1.2.7 NLP in healthcare & life sciences market, by end user
    • TABLE 306 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY END USER, 2017-2021 (USD MILLION)
    • TABLE 307 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY END USER, 2022-2027 (USD MILLION)
      • 13.1.2.8 NLP in healthcare & life sciences market, by region
    • TABLE 308 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017-2021 (USD MILLION)
    • TABLE 309 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022-2027 (USD MILLION)
  • 13.2 SPEECH ANALYTICS MARKET
    • 13.2.1 MARKET DEFINITION
    • 13.2.2 MARKET OVERVIEW
      • 13.2.2.1 Speech analytics market, by component
    • TABLE 310 SPEECH ANALYTICS MARKET, BY COMPONENT, 2018-2021(USD MILLION)
    • TABLE 311 SPEECH ANALYTICS MARKET, BY COMPONENT, 2022-2027(USD MILLION)
    • TABLE 312 SOLUTIONS: SPEECH ANALYTICS MARKET, BY REGION, 2018-2021(USD MILLION)
    • TABLE 313 SOLUTIONS: SPEECH ANALYTICS MARKET, BY REGION, 2022-2027(USD MILLION)
    • TABLE 314 SPEECH ANALYTICS MARKET, BY SERVICE, 2018-2021 (USD MILLION)
    • TABLE 315 SPEECH ANALYTICS MARKET, BY SERVICE, 2022-2027 (USD MILLION)
    • TABLE 316 SERVICES: SPEECH ANALYTICS MARKET, BY REGION, 2018-2021 (USD MILLION)
    • TABLE 317 SERVICES: SPEECH ANALYTICS MARKET, BY REGION, 2022-2027 (USD MILLION)
      • 13.2.2.2 Speech analytics market, by business function
    • TABLE 318 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2018-2021(USD MILLION)
    • TABLE 319 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2022-2027 (USD MILLION)
      • 13.2.2.3 Speech analytics market, by organization size
    • TABLE 320 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2018-2021 (USD MILLION)
    • TABLE 321 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
      • 13.2.2.4 Speech analytics market, by deployment mode
    • TABLE 322 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2018-2021(USD MILLION)
    • TABLE 323 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2022-2027(USD MILLION)
      • 13.2.2.5 Speech analytics market, by application
    • TABLE 324 SPEECH ANALYTICS MARKET, BY APPLICATION, 2017-2021 (USD MILLION)
    • TABLE 325 SPEECH ANALYTICS MARKET, BY APPLICATION, 2022-2027 (USD MILLION)
      • 13.2.2.6 Speech analytics market, by vertical
    • TABLE 326 SPEECH ANALYTICS MARKET BY VERTICAL, 2017-2021 (USD MILLION)
    • TABLE 327 SPEECH ANALYTICS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
      • 13.2.2.7 Speech analytics market, by region
    • TABLE 328 SPEECH ANALYTICS MARKET, BY REGION, 2017-2021 (USD MILLION)
    • TABLE 329 SPEECH ANALYTICS MARKET, BY REGION, 2022-2027 (USD MILLION)

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS