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금융 시장에서의 NLP(NLP in Finance) 조사 보고서

출판 : MarketsandMarkets (마켓츠앤마켓츠)   출판년월 : 2023년05월

금융 시장에서의 NLP(NLP in Finance) : 오퍼링(소프트웨어, 서비스), 애플리케이션(고객 서비스 및 지원, 위험 관리 및 사기 감지, 감정 분석), 기술(기계 학습, 심층 학습), 산업 및 지역별 – 2028년까지의 세계 예측
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

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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%.
금융 시장의 NLP는 2023년 55억 달러에서 2028년 188억 달러로 연평균 27.6% 성장할 것으로 예상됩니다.
금융 시장에서의 NLP(NLP in Finance) : 오퍼링(소프트웨어, 서비스), 애플리케이션(고객 서비스 및 지원, 위험 관리 및 사기 감지, 감정 분석), 기술(기계 학습, 심층 학습), 산업 및 지역별 - 2028년까지의 세계 예측 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 2028The 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.
자동화되고 효율적인 금융 서비스에 대한 수요 증가와 복잡한 금융 데이터의 정확한 실시간 분석에 대한 요구가 증가함에 따라 시장은 성장할 것으로 예상됩니다.

금융 시장에서의 NLP(NLP in Finance) : 오퍼링(소프트웨어, 서비스), 애플리케이션(고객 서비스 및 지원, 위험 관리 및 사기 감지, 감정 분석), 기술(기계 학습, 심층 학습), 산업 및 지역별 - 2028년까지의 세계 예측 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

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.

금융 시장에서의 NLP(NLP in Finance) : 오퍼링(소프트웨어, 서비스), 애플리케이션(고객 서비스 및 지원, 위험 관리 및 사기 감지, 감정 분석), 기술(기계 학습, 심층 학습), 산업 및 지역별 - 2028년까지의 세계 예측 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

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.

금융 시장에서의 NLP(NLP in Finance) : 오퍼링(소프트웨어, 서비스), 애플리케이션(고객 서비스 및 지원, 위험 관리 및 사기 감지, 감정 분석), 기술(기계 학습, 심층 학습), 산업 및 지역별 - 2028년까지의 세계 예측 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

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).

금융 시장에서의 NLP(NLP in Finance) : 오퍼링(소프트웨어, 서비스), 애플리케이션(고객 서비스 및 지원, 위험 관리 및 사기 감지, 감정 분석), 기술(기계 학습, 심층 학습), 산업 및 지역별 - 2028년까지의 세계 예측 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
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.


목차

1 INTRODUCTION 46
1.1 STUDY OBJECTIVES 46
1.2 MARKET DEFINITION 46
1.2.1 INCLUSIONS AND EXCLUSIONS 47
1.3 MARKET SCOPE 48
1.3.1 MARKET SEGMENTATION 48
1.3.2 REGIONS COVERED 49
1.3.3 YEARS CONSIDERED 49
1.4 CURRENCY CONSIDERED 50
TABLE 1 US DOLLAR EXCHANGE RATE, 2019–2022 50
1.5 STAKEHOLDERS 50
2 RESEARCH METHODOLOGY 51
2.1 RESEARCH DATA 51
FIGURE 1 NLP IN FINANCE MARKET: RESEARCH DESIGN 51
2.1.1 SECONDARY DATA 52
2.1.2 PRIMARY DATA 52
2.1.2.1 Primary interviews 52
2.1.2.2 Breakup of primary profiles 53
2.1.2.3 Key industry insights 53
2.2 DATA TRIANGULATION 54
FIGURE 2 DATA TRIANGULATION 54
2.3 MARKET SIZE ESTIMATION 55
FIGURE 3 NLP IN FINANCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 55
2.3.1 TOP-DOWN APPROACH 55
2.3.2 BOTTOM-UP APPROACH 56
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET 56
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET 57
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET 58
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF NLP IN FINANCE THROUGH OVERALL SPENDING 58
2.4 MARKET FORECAST 59
TABLE 2 FACTOR ANALYSIS 59
2.5 RESEARCH ASSUMPTIONS 60

2.6 STUDY LIMITATIONS 62
2.7 IMPLICATIONS OF RECESSION IMPACT ON NLP IN FINANCE 62
3 EXECUTIVE SUMMARY 64
TABLE 3 NLP IN FINANCE MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %) 66
TABLE 4 GLOBAL NLP IN FINANCE MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %) 66
FIGURE 8 SOFTWARE SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023 66
FIGURE 9 STATISTICAL NLP SOFTWARE TO ACCOUNT FOR MAJOR MARKET SHARE IN 2023 66
FIGURE 10 PROFESSIONAL SERVICES TO DOMINATE MARKET IN 2023 67
FIGURE 11 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES TO DOMINATE MARKET IN 2023 67
FIGURE 12 RISK MANAGEMENT AND FRAUD DETECTION TO BE LEADING APPLICATION IN 2023 68
FIGURE 13 MACHINE LEARNING TO BE MOST DEPLOYED TECHNOLOGY IN 2023 68
FIGURE 14 INSURANCE VERTICAL SET TO WITNESS FASTEST GROWTH RATE 69
FIGURE 15 NORTH AMERICA TO HOLD LARGEST MARKET SHARE 69
4 PREMIUM INSIGHTS 70
4.1 ATTRACTIVE OPPORTUNITIES IN NLP IN FINANCE MARKET 70
FIGURE 16 INCREASING POPULARITY OF CHATBOTS ACROSS FINANCE AND IMPROVING PERFORMANCE OF NLP MODELS TO DRIVE MARKET GROWTH 70
4.2 NLP IN FINANCE MARKET: TOP THREE APPLICATIONS 71
FIGURE 17 CUSTOMER SERVICE AND SUPPORT APPLICATION SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE 71
4.3 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING AND VERTICAL 71
FIGURE 18 SOFTWARE AND BANKING TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2023 71
4.4 NLP IN FINANCE MARKET, BY REGION 72
FIGURE 19 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023 72
5 MARKET OVERVIEW AND INDUSTRY TRENDS 73
5.1 INTRODUCTION 73
5.2 MARKET DYNAMICS 73
FIGURE 20 NLP IN FINANCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 74
5.2.1 DRIVERS 74
5.2.1.1 Increasing demand for automated and efficient financial services worldwide 74
5.2.1.2 Rising need for accurate and real-time analysis of complex financial data 75
5.2.1.3 Emergence of AI and ML models 75

5.2.2 RESTRAINTS 76
5.2.2.1 Lack of standardization in NLP-based financial applications and services 76
5.2.2.2 Difficulty in managing large volumes of unstructured data 76
5.2.2.3 Complexity in developing and training sophisticated NLP models 77
5.2.3 OPPORTUNITIES 77
5.2.3.1 Development of customized NLP solutions for specific financial services and use cases 77
5.2.3.2 Integration of NLP with blockchain and big data to enhance accuracy and efficiency of financial operations 78
5.2.3.3 Growing adoption of NLP-powered chatbots and virtual assistants 78
5.2.4 CHALLENGES 79
5.2.4.1 High implementation costs associated with NLP 79
5.2.4.2 Limited availability of skilled professionals 79
5.2.4.3 Data privacy concerns associated with use of NLP 80
5.3 ETHICS AND IMPLICATIONS OF NLP IN FINANCE 80
5.3.1 BIAS AND FAIRNESS 80
5.3.2 PRIVACY AND SECURITY 81
5.3.3 INTELLECTUAL PROPERTY 81
5.3.4 ACCOUNTABILITY AND RESPONSIBILITY 81
5.3.5 SOCIETAL AND ECONOMIC IMPACT 81
5.4 BRIEF HISTORY OF NLP IN FINANCE 82
FIGURE 21 BRIEF HISTORY OF NLP IN FINANCE 82
5.5 ECOSYSTEM ANALYSIS 83
FIGURE 22 KEY PLAYERS IN NLP IN FINANCE MARKET ECOSYSTEM 83
5.5.1 NLP IN FINANCE TECHNOLOGY PROVIDERS 84
5.5.2 NLP IN FINANCE CLOUD PLATFORM PROVIDERS 84
5.5.3 NLP IN FINANCE API AND AS-A-SERVICE PROVIDERS 85
5.5.4 NLP IN FINANCE HARDWARE PROVIDERS 86
5.5.5 NLP IN FINANCE END USERS 86
5.5.6 NLP IN FINANCE REGULATORS 87
5.6 NLP IN FINANCE TOOLS AND FRAMEWORK 88
5.6.1 TENSORFLOW 88
5.6.2 PYTORCH 88
5.6.3 KERAS 88
5.6.4 NLTK 88
5.6.5 APACHE OPENNLP 88
5.6.6 SPACY 89
5.6.7 GENSIM 89
5.6.8 ALLENNLP 89
5.6.9 FLAIR 89
5.6.10 STANFORD CORENLP 89

5.7 CASE STUDY ANALYSIS 90
5.7.1 CASE STUDY 1: NATWEST IMPROVED SPEED AND ACCURACY OF COMPLAINT-HANDLING PROCESS THROUGH IBM 90
5.7.2 CASE STUDY 2: AYASDI’S NLP PLATFORM HELPED J.P. MORGAN CHASE RAMP UP RISK ASSESSMENT TECHNIQUES 90
5.7.3 CASE STUDY 3: CAPITAL ONE ELIMINATED INEFFICIENCIES IN CUSTOMER QUERY RESOLUTION THROUGH NLP 91
5.7.4 CASE STUDY 4: BLACKROCK IDENTIFIED NEW INVESTMENT AVENUES BY ANALYZING LARGE VOLUMES OF UNSTRUCTURED DATA 91
5.7.5 CASE STUDY 5: YSEOP ASSISTED TD AMERITRADE IN DISCOVERING NEW CUSTOMER INSIGHTS 92
5.7.6 CASE STUDY 6: ALLIANZ WITNESSED SUBSTANTIAL IMPROVEMENT IN INSURANCE CLAIMS PROCESSING THROUGH NLP 92
5.7.7 CASE STUDY 7: UBS TRAINED DATASETS THROUGH NLP TO AUGMENT RISK MANAGEMENT PROCESSES 93
5.7.8 CASE STUDY 8: CITI ADDED PERSONALIZED TOUCH TO CUSTOMER RECOMMENDATIONS VIA NLP-BASED QUERY ANALYSIS 93
5.7.9 CASE STUDY 9: BARCLAYS SCALED ITS TRADING AND INVESTMENT ANALYSIS PROCESSES VIA AYASDI’S NLP TOOL 94
5.7.10 CASE STUDY 10: GOLDMAN SACHS AUGMENTED ITS FINANCIAL R&D PROWESS 94
5.7.11 CASE STUDY 11: NLP EMPOWERED KABBAGE WITH SMARTER DECISION-MAKING FOR LOAN DISBURSAL 95
5.7.12 CASE STUDY 12: CHAINALYSIS DEPLOYED NLP FOR FRAUD PREVENTION IN CRYPTO TRADING 95
5.8 SUPPLY CHAIN ANALYSIS 96
FIGURE 23 NLP IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS 96
TABLE 5 NLP IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS 96
5.9 REGULATORY LANDSCAPE 98
5.9.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 98
TABLE 6 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 98
TABLE 7 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 99
TABLE 8 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 99
TABLE 9 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 100
TABLE 10 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 100
5.9.2 NORTH AMERICA 100
5.9.2.1 Fair Credit Reporting Act (FCRA) 100
5.9.2.2 Consumer Financial Protection Act (CFPA) 101
5.9.2.3 Gramm-Leach-Bliley Act (GLBA) 101
5.9.2.4 Sarbanes-Oxley Act (SOX) 101
5.9.2.5 Dodd-Frank Wall Street Reform and Consumer Protection Act 101
5.9.3 EUROPE 101
5.9.3.1 Markets in Financial Instruments Directive II (MiFID II) 101
5.9.3.2 General Data Protection Regulation (GDPR) 102
5.9.3.3 Payment Services Directive 2 (PSD2) 102
5.9.3.4 Markets in Financial Instruments Regulation (MiFIR) 102
5.9.3.5 Anti-Money Laundering (AML) Directive 102
5.9.4 ASIA PACIFIC 102
5.9.4.1 Personal Information Protection Act (PIPA) – Japan 102
5.9.4.2 Personal Data Protection Act (PDPA) – Singapore 103
5.9.4.3 Information Technology Act (ITA) – India 103
5.9.4.4 Personal Information Protection Law (PIPL) – China 103
5.9.4.5 Privacy Act – Australia 103
5.9.5 LATIN AMERICA 103
5.9.5.1 General Data Protection Law (LGPD) – Brazil 103
5.9.5.2 Data Protection Law (Ley de Proteccion de Datos Personales) – Mexico 103
5.9.5.3 Financial Institutions Law (Ley de Instituciones de Credito) – Mexico 103
5.9.5.4 Anti-Money Laundering (AML) Law – Colombia 104
5.9.5.5 Financial Sector Law (Ley del Sector Financiero) – Colombia 104
5.9.6 MIDDLE EAST AND AFRICA 104
5.9.6.1 Dubai Financial Services Authority (DFSA) Regulations 104
5.9.6.2 Financial Sector Regulation (FSR) – South Africa 104
5.9.6.3 Anti-Money Laundering and Countering Financing of Terrorism (AML/CFT) Regulations – Saudi Arabia 104
5.9.6.4 Data Protection and Privacy Regulations – Egypt 104
5.9.6.5 Financial Services Authority (FSA) Regulations – Morocco 104
5.10 PATENT ANALYSIS 105
5.10.1 METHODOLOGY 105
5.10.2 PATENTS FILED, BY DOCUMENT TYPE, 2019–2022 105
TABLE 11 PATENTS FILED, 2019–2022 105
5.10.3 INNOVATION AND PATENT APPLICATIONS 105
FIGURE 24 TOTAL NUMBER OF PATENTS GRANTED, 2013–2022 105
5.10.4 TOP APPLICANTS 106
FIGURE 25 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS, 2013–2022 106
TABLE 12 TOP 20 PATENT OWNERS IN NLP IN FINANCE MARKET, 2013–2022 106
TABLE 13 LIST OF PATENTS IN NLP IN FINANCE MARKET, 2021–2023 107
FIGURE 26 REGIONAL ANALYSIS OF PATENTS GRANTED FOR NLP IN FINANCE MARKET, 2013-2022 112
5.11 KEY CONFERENCES AND EVENTS, 2023–2024 113
TABLE 14 NLP IN FINANCE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS 113
5.12 PRICING ANALYSIS 114
FIGURE 27 INDICATIVE SELLING PRICES OF KEY PLAYERS FOR TOP 3 APPLICATIONS 115
TABLE 15 AVERAGE SELLING PRICING ANALYSIS OF KEY PLAYERS FOR TOP 3 APPLICATIONS (USD) 115
5.13 PORTER’S FIVE FORCES ANALYSIS 116
TABLE 16 IMPACT OF EACH FORCE ON NLP IN FINANCE MARKET 116
FIGURE 28 NLP IN FINANCE MARKET: PORTER’S FIVE FORCES ANALYSIS 117
5.13.1 THREAT OF NEW ENTRANTS 117
5.13.2 THREAT OF SUBSTITUTES 118
5.13.3 BARGAINING POWER OF SUPPLIERS 118
5.13.4 BARGAINING POWER OF BUYERS 118
5.13.5 INTENSITY OF COMPETITIVE RIVALRY 118
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA 119
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS 119
FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS 119
TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS 119
5.14.2 BUYING CRITERIA 119
FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 119
TABLE 18 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 120
5.15 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF NLP IN FINANCE MARKET 120
FIGURE 31 NLP IN FINANCE MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS 120
5.16 BEST PRACTICES IN NLP IN FINANCE MARKET 120
5.16.1 DOMAIN-SPECIFIC DATA SELECTION AND DATA CLEANING 120
5.16.2 FEATURE ENGINEERING 121
5.16.3 MODEL SELECTION 121
5.16.4 EVALUATION METRICS 121
5.16.5 CROSS-VALIDATION 122
5.16.6 REGULARIZATION 122
5.16.7 HYPERPARAMETER TUNING 122
5.16.8 TRANSFER LEARNING 122
5.16.9 INTERPRETABILITY 122
5.16.10 REGULATORY COMPLIANCE 122
5.16.11 BACKTESTING AND DEPLOYMENT 123
5.17 TECHNOLOGY ROADMAP OF NLP IN FINANCE 123
5.17.1 NLP IN FINANCE ROADMAP TILL 2030 123
TABLE 19 NLP IN FINANCE ROADMAP TILL 2030 123
5.17.1.1 Pre-2020 124
5.17.1.2 2020-2022 124
5.17.1.3 Short-term (2023-2025) 124
5.17.1.4 Mid-term (2026-2028) 124
5.17.1.5 Long-term (2029-2030) 125

5.18 CURRENT AND EMERGING BUSINESS MODELS 125
5.18.1 SAAS MODEL 125
5.18.2 CONSULTING SERVICES MODEL 125
5.18.3 PARTNER PROGRAMS (REVENUE SHARING MODEL) 125
5.18.4 PAY-PER-USE MODEL 126
5.19 NLP IN FINANCE’S IMPACT ON ADJACENT NICHE TECHNOLOGIES 126
5.19.1 HIGH-FREQUENCY TRADING AND ELECTRONIC TRADING PLATFORMS 126
5.19.2 FINANCIAL CYBERSECURITY 126
5.19.3 REGULATORY TECHNOLOGY (REGTECH) 127
6 NLP IN FINANCE MARKET, BY OFFERING 128
6.1 INTRODUCTION 129
6.1.1 OFFERING: NLP IN FINANCE MARKET DRIVERS 129
FIGURE 32 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 130
TABLE 20 NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 130
TABLE 21 NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 130
6.2 SOFTWARE 131
TABLE 22 SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 131
TABLE 23 SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 131
6.2.1 NLP IN FINANCE SOFTWARE, BY SOFTWARE TYPE 132
FIGURE 33 STATISTICAL NLP SOFTWARE TO HOLD LARGEST MARKET SHARE IN 2023 132
TABLE 24 SOFTWARE: NLP IN FINANCE MARKET, BY SOFTWARE TYPE, 2019–2022 (USD MILLION) 132
TABLE 25 SOFTWARE: NLP IN FINANCE MARKET, BY SOFTWARE TYPE, 2023–2028 (USD MILLION) 132
6.2.1.1 Rule-based NLP Software 133
6.2.1.1.1 Rule-based NLP software to help financial institutions automate compliance and risk management processes 133
TABLE 26 RULE-BASED NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 133
TABLE 27 RULE-BASED NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 133
6.2.1.1.1.1 Regular Expression (Regex) 134
6.2.1.1.1.2 Finite State Machines (FSMs) 134
6.2.1.1.1.3 Named Entity Recognition (NER) 134
6.2.1.1.1.4 Part-of-Speech (POS) Tagging 135
6.2.1.2 Statistical NLP Software 135
6.2.1.2.1 Statistical NLP software to analyze large volumes of unstructured data 135
TABLE 28 STATISTICAL NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 136
TABLE 29 STATISTICAL NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 136
6.2.1.2.1.1 Naive Bayes 136
6.2.1.2.1.2 Logistic Regression 137
6.2.1.2.1.3 Support Vector Machines (SVMs) 137
6.2.1.2.1.4 Recurrent Neural Networks (RNNs) 137
6.2.1.3 Hybrid NLP Software 138
6.2.1.3.1 Hybrid NLP to combine strengths of rule-based and statistical approaches 138
TABLE 30 HYBRID NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 138
TABLE 31 HYBRID NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 139
6.2.1.3.1.1 Latent Dirichlet Allocation (LDA) 139
6.2.1.3.1.2 Hidden Markov Models (HMMs) 139
6.2.1.3.1.3 Conditional Random Fields (CRFs) 140
6.3 SERVICES 140
FIGURE 34 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR IN NLP IN FINANCE MARKET FOR SERVICES DURING FORECAST PERIOD 140
TABLE 32 NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 141
TABLE 33 NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 141
TABLE 34 SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 141
TABLE 35 SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 141
6.3.1 PROFESSIONAL SERVICES 142
6.3.1.1 Professional services to offer specialized expertise in NLP in finance 142
FIGURE 35 TRAINING AND CONSULTING SERVICES SUB-SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 142
TABLE 36 SERVICES: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 142
TABLE 37 SERVICES: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 143
TABLE 38 PROFESSIONAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 143
TABLE 39 PROFESSIONAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 143
6.3.1.1.1 Training and consulting services 143
TABLE 40 TRAINING AND CONSULTING SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 144
TABLE 41 TRAINING AND CONSULTING SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 144
6.3.1.1.2 System integration and implementation services 144
TABLE 42 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 145
TABLE 43 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 145
6.3.1.1.3 Support and maintenance services 145
TABLE 44 SUPPORT AND MAINTENANCE SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 146
TABLE 45 SUPPORT AND MAINTENANCE SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 146
6.3.2 MANAGED SERVICES 146
6.3.2.1 Managed services to provide end-to-end management to help businesses focus on core competencies 146
TABLE 46 MANAGED SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 147
TABLE 47 MANAGED SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 147
7 NLP IN FINANCE MARKET, BY APPLICATION 148
7.1 INTRODUCTION 149
7.1.1 APPLICATION: NLP IN FINANCE MARKET DRIVERS 149
FIGURE 36 NATURAL LANGUAGE GENERATION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023 150
TABLE 48 NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 151
TABLE 49 NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 151
7.2 SENTIMENT ANALYSIS 152
7.2.1 SENTIMENT ANALYSIS TO IDENTIFY AND MITIGATE POTENTIAL FINANCIAL RISKS 152
TABLE 50 SENTIMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 152
TABLE 51 SENTIMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 153
7.2.1.1 Brand reputation management 153
7.2.1.2 Market sentiment analysis 153
7.2.1.3 Customer feedback analysis 153
7.2.1.4 Product review analysis 154
7.2.1.5 Social media monitoring 154
7.3 RISK MANAGEMENT AND FRAUD DETECTION 154
7.3.1 NLP TO IMPROVE SPEED AND ACCURACY OF RISK IDENTIFICATION AND FRAUD DETECTION 154
TABLE 52 RISK MANAGEMENT AND FRAUD DETECTION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 155
TABLE 53 RISK MANAGEMENT AND FRAUD DETECTION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 155
7.3.1.1 Credit risk assessment 155
7.3.1.2 Fraud Detection and Prevention 155
7.3.1.3 Anti-money laundering (AML) 156
7.3.1.4 Compliance monitoring 156
7.3.1.5 Cybersecurity threat detection 156
7.4 COMPLIANCE MONITORING 157
7.4.1 NLP TO ANALYZE FINANCIAL TRANSACTIONS AND IDENTIFY POTENTIAL NON-COMPLIANCE ISSUES 157
TABLE 54 COMPLIANCE MONITORING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 157
TABLE 55 COMPLIANCE MONITORING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 157
7.4.1.1 Regulatory compliance monitoring 158
7.4.1.2 KYC/AML compliance monitoring 158
7.4.1.3 Legal and policy compliance monitoring 158
7.4.1.4 Audit trail monitoring 159
7.4.1.5 Trade surveillance 159
7.5 INVESTMENT ANALYSIS 159
7.5.1 FINANCIAL INSTITUTIONS INVESTING IN NLP TECHNOLOGY TO HAVE COMPETITIVE EDGE 159
TABLE 56 INVESTMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 160
TABLE 57 INVESTMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 160
7.5.1.1 Asset allocation and portfolio optimization 160
7.5.1.2 Equity research and analysis 161
7.5.1.3 Quantitative analysis and modeling 161
7.5.1.4 Investment recommendations and planning 161
7.5.1.5 Risk management and prediction 162
7.5.1.6 Investment opportunity identification 162
7.6 FINANCIAL NEWS AND MARKET ANALYSIS 162
7.6.1 NLP ALGORITHMS TO PREDICT HOW MARKETS REACT AND HELP INVESTORS MAKE INFORMED INVESTMENT DECISIONS 162
TABLE 58 FINANCIAL NEWS AND MARKET ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 163
TABLE 59 FINANCIAL NEWS AND MARKET ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 163
7.6.1.1 Financial news analysis 163
7.6.1.2 Stock market prediction 164
7.6.1.3 Macroeconomic analysis 164
7.7 CUSTOMER SERVICE AND SUPPORT 164
7.7.1 ADOPTION OF INTELLIGENT CHATBOTS AND CUSTOMER SUPPORT SYSTEMS TO DRIVE GROWTH 164
TABLE 60 CUSTOMER SERVICE AND SUPPORT: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 165
TABLE 61 CUSTOMER SERVICE AND SUPPORT: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 165
7.7.1.1 Chatbots and virtual assistants 165
7.7.1.2 Personalized support and service 166
7.7.1.3 Compliant resolution 166
7.7.1.4 Query resolution and escalation management 166
7.7.1.5 Self-service options 167
7.7.1.6 Multilingual customer service and support 167
7.8 DOCUMENT AND CONTRACT ANALYSIS 168
7.8.1 DOCUMENT AND CONTRACT ANALYSIS TO STREAMLINE DATA PROCESSING WORKFLOWS 168
TABLE 62 DOCUMENT AND CONTRACT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 168
TABLE 63 DOCUMENT AND CONTRACT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 168
7.8.1.1 Contract management 169
7.8.1.2 Legal document analysis 169
7.8.1.3 Due diligence analysis 169
7.8.1.4 Data extraction and normalization 169
7.9 SPEECH RECOGNITION AND TRANSCRIPTION 170
7.9.1 POWERFUL TOOL TO CAPTURE AND ANALYZE VOICE DATA AND ENSURE COMPLIANCE 170
TABLE 64 SPEECH RECOGNITION AND TRANSCRIPTION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 170
TABLE 65 SPEECH RECOGNITION AND TRANSCRIPTION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 171
7.9.1.1 Voice-enabled search and navigation 171
7.9.1.2 Speech-to-text conversion 171
7.9.1.3 Call transcription and analysis 172
7.9.1.4 Voice biometrics and authentication 172
7.9.1.5 Speech-enabled virtual assistants 173
7.10 LANGUAGE TRANSLATION 173
7.10.1 AUTOMATING REPORT WRITING AND PERSONALIZED FINANCIAL ADVICE TO DRIVE UPTAKE OF LANGUAGE TRANSLATION TOOLS 173
TABLE 66 LANGUAGE TRANSLATION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 174
TABLE 67 LANGUAGE TRANSLATION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 174
7.10.1.1 Financial document translation 174
7.10.1.2 Investment research translation 175
7.10.1.3 Cross-border business communication 175
7.10.1.4 Localization and internationalization 175
7.11 OTHER APPLICATIONS 176
TABLE 68 OTHER APPLICATIONS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 176
TABLE 69 OTHER APPLICATIONS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 177
8 NLP IN FINANCE MARKET, BY TECHNOLOGY 178
8.1 INTRODUCTION 179
8.1.1 TECHNOLOGY: NLP IN FINANCE MARKET DRIVERS 179
FIGURE 37 DEEP LEARNING SEGMENT TO GROW AT HIGHER CAGR 180
TABLE 70 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 180
TABLE 71 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 181
8.2 MACHINE LEARNING 181
8.2.1 MACHINE LEARNING TO BE EXTENSIVELY DEPLOYED TO PREDICT FINANCIAL MARKET INSIGHTS 181
TABLE 72 MACHINE LEARNING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 182
TABLE 73 MACHINE LEARNING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 182
8.2.1.1 Supervised learning 182
8.2.1.2 Unsupervised learning 182
8.2.1.3 Reinforcement learning 183
8.3 DEEP LEARNING 183
8.3.1 DEEP LEARNING TO PLAY CRITICAL ROLE IN ADVANCING NLP DEVELOPMENTS 183
TABLE 74 DEEP LEARNING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 184
TABLE 75 DEEP LEARNING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 184
8.3.1.1 Convolutional neural networks (CNN) 184
8.3.1.2 Recurrent neural networks (RNN) 184
8.3.1.3 Transformer models (BERT, GPT-3, etc.) 185
8.4 NATURAL LANGUAGE GENERATION 185
8.4.1 FINANCIAL INSTITUTIONS TO INCREASINGLY ADOPT NLG TO IMPROVE EFFICIENCY AND REDUCE COSTS 185
TABLE 76 NATURAL LANGUAGE GENERATION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 186
TABLE 77 NATURAL LANGUAGE GENERATION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 186
8.4.1.1 Automated report writing 186
8.4.1.2 Customer communication 187
8.4.1.3 Financial document generation 187
8.5 TEXT CLASSIFICATION 187
8.5.1 TEXT CLASSIFICATION TO ANALYZE MARKET SENTIMENTS IN FINANCE 187
TABLE 78 TEXT CLASSIFICATION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 188
TABLE 79 TEXT CLASSIFICATION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 188
8.5.1.1 Sentiment classification 188
8.5.1.2 Intent classification 189
8.6 TOPIC MODELING 189
8.6.1 TOPIC MODELING TO EXTRACT INSIGHTS FROM FINANCIAL NEWS ARTICLES 189
TABLE 80 TOPIC MODELING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 189
TABLE 81 TOPIC MODELING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 190
8.6.1.1 Topic identification 190
8.6.1.2 Topic clustering 190
8.6.1.3 Topic visualization 190
8.7 EMOTION DETECTION 191
8.7.1 EMOTION DETECTION TO IMPROVE SENTIMENT ANALYSIS IN FINANCIAL DISCOURSE 191
TABLE 82 EMOTION DETECTION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 191
TABLE 83 EMOTION DETECTION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 192
8.7.1.1 Emotion recognition 192
8.7.1.2 Emotion classification 192
8.8 OTHER TECHNOLOGIES 193
8.8.1 NER AND EVENT EXTRACTION TO FACE SPIKE IN HANDLING UNSTRUCTURED FINANCIAL DATA 193
TABLE 84 OTHER TECHNOLOGIES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 193
TABLE 85 OTHER TECHNOLOGIES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 193
9 NLP IN FINANCE MARKET, BY VERTICAL 194
9.1 INTRODUCTION 195
9.1.1 VERTICAL: NLP IN FINANCE MARKET DRIVERS 195
FIGURE 38 INSURANCE SEGMENT TO GROW AT HIGHEST CAGR 195
TABLE 86 NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 196
TABLE 87 NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 196
9.2 BANKING 196
9.2.1 NLP TO IMPROVE EFFICIENCY, ACCURACY, AND CUSTOMER EXPERIENCE 196
9.2.2 NLP IN FINANCE: BANKING USE CASES 197
TABLE 88 BANKING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 197
TABLE 89 BANKING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 197
9.2.2.1 Retail banking 197
9.2.2.2 Corporate banking 198
9.2.2.3 Investment banking 199
9.2.2.4 Wealth management 200
9.3 INSURANCE 200
9.3.1 INSURANCE COMPANIES TO ANALYZE LARGE AMOUNTS OF DATA USING NLP 200
9.3.2 NLP IN FINANCE: INSURANCE USE CASES 201
TABLE 90 INSURANCE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 201
TABLE 91 INSURANCE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 201
9.3.2.1 Life insurance 201
9.3.2.2 Property and casualty insurance 202
9.3.2.3 Health insurance 202
9.4 FINANCIAL SERVICES 203
9.4.1 USE OF NLP TO GROW IN FINTECH 203
9.4.2 NLP IN FINANCE: FINANCIAL SERVICES USE CASES 203
TABLE 92 FINANCIAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 203
TABLE 93 FINANCIAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 204
9.4.2.1 Credit rating 204
9.4.2.2 Payment processing and remitting 204
9.4.2.3 Accounting and auditing 205
9.4.2.4 Personal finance management 205
9.4.2.5 Robo-advisory 206
9.4.2.6 Cryptocurrencies and blockchain 206
9.4.2.7 Stock movement prediction 206
9.4.2.8 Others 207
9.5 OTHER ENTERPRISE VERTICALS 207
9.5.1 NLP IN FINANCE TO MAKE INROADS ACROSS FINANCIAL OPERATIONS 207
9.5.1.1 Healthcare and life sciences 208
9.5.1.2 Manufacturing 208
9.5.1.3 Retail and eCommerce 208
9.5.1.4 Energy & utilities 209
9.5.1.5 Transportation and logistics 209
9.5.1.6 Others 209
10 NLP IN FINANCE MARKET, BY REGION 210
10.1 INTRODUCTION 211
FIGURE 39 ASIA PACIFIC NLP IN FINANCE MARKET TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 211
FIGURE 40 INDIA TO REGISTER HIGHEST CAGR IN NLP IN FINANCE 212
TABLE 94 NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION) 212
TABLE 95 NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION) 212
10.2 NORTH AMERICA 213
10.2.1 NORTH AMERICA: NLP IN FINANCE MARKET DRIVERS 213
10.2.2 NORTH AMERICA: RECESSION IMPACT 214
FIGURE 41 NORTH AMERICA: SNAPSHOT OF NLP IN FINANCE MARKET 214
TABLE 96 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 215
TABLE 97 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 215
TABLE 98 NORTH AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION) 215
TABLE 99 NORTH AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 215
TABLE 100 NORTH AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 216
TABLE 101 NORTH AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 216
TABLE 102 NORTH AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 216
TABLE 103 NORTH AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 216
TABLE 104 NORTH AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 217
TABLE 105 NORTH AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 217
TABLE 106 NORTH AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 218
TABLE 107 NORTH AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 218
TABLE 108 NORTH AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 219
TABLE 109 NORTH AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 219
TABLE 110 NORTH AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 219
TABLE 111 NORTH AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 219
10.2.3 US 220
10.2.3.1 US to implement NLP for real-time data analysis 220
TABLE 112 US: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 220
TABLE 113 US: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 220
10.2.4 CANADA 221
10.2.4.1 Canadian banks to use NLP-powered chatbots to interact with customers 221
TABLE 114 CANADA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 221
TABLE 115 CANADA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 221
10.3 EUROPE 222
10.3.1 EUROPE: NLP IN FINANCE MARKET DRIVERS 222
10.3.2 EUROPE: RECESSION IMPACT 222
TABLE 116 EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 223
TABLE 117 EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 223
TABLE 118 EUROPE: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION) 223
TABLE 119 EUROPE: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 224
TABLE 120 EUROPE: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 224
TABLE 121 EUROPE: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 224
TABLE 122 EUROPE: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 224
TABLE 123 EUROPE: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 225
TABLE 124 EUROPE: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 225
TABLE 125 EUROPE: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 225
TABLE 126 EUROPE: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 226
TABLE 127 EUROPE: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 226
TABLE 128 EUROPE: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 227
TABLE 129 EUROPE: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 227
TABLE 130 EUROPE: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 227
TABLE 131 EUROPE: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 228
10.3.3 UK 228
10.3.3.1 UK companies to leverage NLP to improve operations and gain competitive edge 228
TABLE 132 UK: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 228
TABLE 133 UK: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 229
10.3.4 GERMANY 229
10.3.4.1 Adoption of NLP to be driven by regulatory compliance, cost reduction, and better customer experience 229
TABLE 134 GERMANY: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 229
TABLE 135 GERMANY: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 229
10.3.5 FRANCE 230
10.3.5.1 France to witness emergence of AI-based chatbots using NLP 230
TABLE 136 FRANCE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 230
TABLE 137 FRANCE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 230
10.3.6 ITALY 231
10.3.6.1 NLP to help financial institutions analyze large volumes of data efficiently and accurately 231
TABLE 138 ITALY: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 231
TABLE 139 ITALY: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 231
10.3.7 SPAIN 232
10.3.7.1 NLP to significantly improve customer service and reduce operating costs in banking 232
TABLE 140 SPAIN: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 232
TABLE 141 SPAIN: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 232

10.3.8 SWITZERLAND 233
10.3.8.1 Swiss banks and financial institutions to invest in NLP to gain competitive advantage 233
TABLE 142 SWITZERLAND: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 233
TABLE 143 SWITZERLAND: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 233
10.3.9 REST OF EUROPE 234
TABLE 144 REST OF EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 234
TABLE 145 REST OF EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 234

10.4 ASIA PACIFIC 235
10.4.1 ASIA PACIFIC: NLP IN FINANCE MARKET DRIVERS 235
10.4.2 ASIA PACIFIC: RECESSION IMPACT 235
FIGURE 42 ASIA PACIFIC: SNAPSHOT OF NLP IN FINANCE MARKET 236
TABLE 146 ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 236
TABLE 147 ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 237
TABLE 148 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION) 237
TABLE 149 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 237
TABLE 150 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 237
TABLE 151 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 237
TABLE 152 ASIA PACIFIC: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 238
TABLE 153 ASIA PACIFIC: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 238
TABLE 154 ASIA PACIFIC: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 238
TABLE 155 ASIA PACIFIC: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 239
TABLE 156 ASIA PACIFIC: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 239
TABLE 157 ASIA PACIFIC: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 240
TABLE 158 ASIA PACIFIC: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 240
TABLE 159 ASIA PACIFIC: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 240
TABLE 160 ASIA PACIFIC: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 241
TABLE 161 ASIA PACIFIC: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 241
10.4.3 CHINA 241
10.4.3.1 NLP solutions to develop as demand for digital transformation increases 241
TABLE 162 CHINA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 242
TABLE 163 CHINA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 242
10.4.4 INDIA 242
10.4.4.1 Adoption of NLP in banking to be influenced by startups and Digital India movement 242
TABLE 164 INDIA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 243
TABLE 165 INDIA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 243
10.4.5 JAPAN 243
10.4.5.1 NLP potential to be unlocked in Japan’s finance markets 243
TABLE 166 JAPAN: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 244
TABLE 167 JAPAN: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 244
10.4.6 SOUTH KOREA 244
10.4.6.1 NLP to change financial sector by improving consumer experience 244
TABLE 168 SOUTH KOREA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 244
TABLE 169 SOUTH KOREA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 245
10.4.7 SINGAPORE 245
10.4.7.1 Singapore to improve its financial services and stay competitive using NLP 245
TABLE 170 SINGAPORE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 245
TABLE 171 SINGAPORE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 246
10.4.8 ANZ 246
10.4.8.1 NLP solutions to gain more prominence due to technology development 246
TABLE 172 ANZ: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 246
TABLE 173 ANZ: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 246
10.4.9 REST OF ASIA PACIFIC 247
TABLE 174 REST OF ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 247
TABLE 175 REST OF ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 247
10.5 MIDDLE EAST & AFRICA 248
10.5.1 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET DRIVERS 248
10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT 248
TABLE 176 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 249
TABLE 177 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 249
TABLE 178 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION) 249
TABLE 179 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 249
TABLE 180 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 250
TABLE 181 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 250
TABLE 182 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 250
TABLE 183 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 250
TABLE 184 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 251
TABLE 185 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 251
TABLE 186 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 252
TABLE 187 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 252
TABLE 188 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 253
TABLE 189 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 253
TABLE 190 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 253
TABLE 191 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 254
10.5.3 SAUDI ARABIA 254
10.5.3.1 Saudi Arabia to embrace NLP to drive economic growth 254
TABLE 192 SAUDI ARABIA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 254
TABLE 193 SAUDI ARABIA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 255
10.5.4 UAE 255
10.5.4.1 Several UAE startups to leverage NLP to drive innovation 255
TABLE 194 UAE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 255
TABLE 195 UAE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 255
10.5.5 SOUTH AFRICA 256
10.5.5.1 South Africa to witness several developments in NLP 256
TABLE 196 SOUTH AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 256
TABLE 197 SOUTH AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 256
10.5.6 ISRAEL 257
10.5.6.1 Adoption of NLP to position country as leader in technological advancements 257
TABLE 198 ISRAEL: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 257
TABLE 199 ISRAEL: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 257
10.5.7 REST OF MIDDLE EAST & AFRICA 258
TABLE 200 REST OF MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 258
TABLE 201 REST OF MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 258
10.6 LATIN AMERICA 259
10.6.1 LATIN AMERICA: NLP IN FINANCE MARKET DRIVERS 259
10.6.2 LATIN AMERICA: RECESSION IMPACT 259
TABLE 202 LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 260
TABLE 203 LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 260
TABLE 204 LATIN AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION) 260
TABLE 205 LATIN AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION) 260
TABLE 206 LATIN AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 260
TABLE 207 LATIN AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 261
TABLE 208 LATIN AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 261
TABLE 209 LATIN AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 261
TABLE 210 LATIN AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 261
TABLE 211 LATIN AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 262
TABLE 212 LATIN AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 262
TABLE 213 LATIN AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 263
TABLE 214 LATIN AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 263
TABLE 215 LATIN AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 263
TABLE 216 LATIN AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 264
TABLE 217 LATIN AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 264
10.6.2.1 Brazil 264
10.6.2.1.1 NLP to be used in customer service 264
TABLE 218 BRAZIL: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 265
TABLE 219 BRAZIL: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 265
10.6.2.2 Mexico 265
10.6.2.2.1 NLP to witness wide adoption in finance 265
TABLE 220 MEXICO: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 265
TABLE 221 MEXICO: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 266
10.6.2.3 Argentina 266
10.6.2.3.1 Advancements in NLP to change ways how financial institutions interact with customers 266
TABLE 222 ARGENTINA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 266
TABLE 223 ARGENTINA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 266
10.6.2.4 Rest of Latin America 267
TABLE 224 REST OF LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 267
TABLE 225 REST OF LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 267
11 COMPETITIVE LANDSCAPE 268
11.1 OVERVIEW 268
11.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS 268
TABLE 226 OVERVIEW OF STRATEGIES ADOPTED BY KEY NLP IN FINANCE VENDORS 268
11.3 REVENUE ANALYSIS 270
11.3.1 HISTORIC REVENUE ANALYSIS 270
FIGURE 43 HISTORIC REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2022 (USD MILLION) 270
11.4 MARKET SHARE ANALYSIS 271
FIGURE 44 MARKET SHARE ANALYSIS FOR KEY COMPANIES IN 2022 271
TABLE 227 NLP IN FINANCE MARKET: DEGREE OF COMPETITION 272
11.5 COMPANY EVALUATION QUADRANT 272
11.5.1 STARS 272
11.5.2 EMERGING LEADERS 272
11.5.3 PERVASIVE PLAYERS 273
11.5.4 PARTICIPANTS 273
FIGURE 45 NLP IN FINANCE MARKET: COMPANY EVALUATION QUADRANT, 2022 273
11.6 COMPETITIVE BENCHMARKING 274
TABLE 228 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022 274
TABLE 229 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022 275
11.7 STARTUP/SME EVALUATION QUADRANT 275
11.7.1 PROGRESSIVE COMPANIES 276
11.7.2 RESPONSIVE COMPANIES 276
11.7.3 DYNAMIC COMPANIES 276
11.7.4 STARTING BLOCKS 276
FIGURE 46 STARTUPS/SMES: COMPANY EVALUATION QUADRANT, 2022 277

11.8 STARTUP/SME COMPETITIVE BENCHMARKING 278
TABLE 230 NLP IN FINANCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES 278
TABLE 231 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/ SMES, 2022 279
11.9 NLP IN FINANCE PRODUCT LANDSCAPE 280
11.9.1 PROMINENT NAMED SENTIMENT ANALYSIS PRODUCTS 280
TABLE 232 COMPARATIVE ANALYSIS OF PROMINENT NAMED SENTIMENT ANALYSIS PRODUCTS 280
11.9.1.1 Lexalytics 281
11.9.1.2 Aylien 281
11.9.1.3 Google Cloud 281
11.9.1.4 IBM Watson 281
11.9.1.5 Amazon Comprehend 281
11.9.2 PROMINENT NAMED ENTITY RECOGNITION PRODUCTS 282
TABLE 233 COMPARATIVE ANALYSIS OF PROMINENT NAMED ENTITY RECOGNITION PRODUCTS 282
11.9.2.1 Rosette 282
11.9.2.2 Spacy 282
11.9.2.3 Basis Tech 282
11.9.2.4 Expert.AI 283
11.9.2.5 MeaningCloud 283
11.9.3 PROMINENT TOPIC MODELING PRODUCTS 283
TABLE 234 COMPARATIVE ANALYSIS OF PROMINENT TOPIC MODELING PRODUCTS 283
11.9.3.1 Gensim 283
11.9.3.2 Mallet 284
11.9.3.3 LDAvis 284
11.9.3.4 bigARTM 284
11.9.3.5 Stanford NLP 284
11.9.4 PROMINENT TEXT CLASSIFICATION PRODUCTS 285
TABLE 235 COMPARATIVE ANALYSIS OF PROMINENT TEXT CLASSIFICATION PRODUCTS 285
11.9.4.1 MonkeyLearn 285
11.9.4.2 Datumbox 285
11.9.4.3 OpenAI 286
11.9.4.4 Hugging Face 286
11.9.4.5 TensorFlow 286
11.9.5 PROMINENT DOCUMENT CLASSIFICATION PRODUCTS 286
TABLE 236 COMPARATIVE ANALYSIS OF PROMINENT DOCUMENT CLASSIFICATION PRODUCTS 286
11.9.5.1 Azure Cognitive Services Text Analytics 287
11.9.5.2 OpenText Magellan 287
11.9.5.3 RapidMiner 287
11.9.5.4 Prodigy By Explosion AI 287
11.9.5.5 KNIME Analytics Platform 287
11.10 VALUATION AND FINANCIAL METRICS OF KEY NLP IN FINANCE VENDORS 288
FIGURE 47 VALUATION AND FINANCIAL METRICS OF KEY NLP IN FINANCE VENDORS 288
11.11 COMPETITIVE SCENARIO AND TRENDS 288
11.11.1 PRODUCT LAUNCHES AND ENHANCEMENTS 288
TABLE 237 SERVICE/PRODUCT LAUNCHES, 2020–2023 288
11.11.2 DEALS 292
TABLE 238 DEALS, 2021–2023 292
12 COMPANY PROFILES 298
12.1 INTRODUCTION 298
(Business Overview, Software/Services offered, Recent Developments, MnM view, Key strengths, Strategic choices, Weakness and competitive threats)*
12.2 KEY PLAYERS 298
12.2.1 MICROSOFT 298
TABLE 239 MICROSOFT: BUSINESS OVERVIEW 299
FIGURE 48 MICROSOFT: COMPANY SNAPSHOT 299
TABLE 240 MICROSOFT: SOFTWARE/SERVICES OFFERED 300
TABLE 241 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS 300
TABLE 242 MICROSOFT: DEALS 301
12.2.2 IBM 302
TABLE 243 IBM: BUSINESS OVERVIEW 302
FIGURE 49 IBM: COMPANY SNAPSHOT 303
TABLE 244 IBM: SOFTWARE/SERVICES OFFERED 303
TABLE 245 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS 304
TABLE 246 IBM: DEALS 304
12.2.3 GOOGLE 306
TABLE 247 GOOGLE: BUSINESS OVERVIEW 306
FIGURE 50 GOOGLE: COMPANY SNAPSHOT 307
TABLE 248 GOOGLE: SOFTWARE/SERVICES OFFERED 307
TABLE 249 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS 308
TABLE 250 GOOGLE: DEALS 308
12.2.4 AWS 311
TABLE 251 AWS: BUSINESS OVERVIEW 311
FIGURE 51 AWS: COMPANY SNAPSHOT 312
TABLE 252 AWS: SOFTWARE/SERVICES OFFERED 312
TABLE 253 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS 312
TABLE 254 AWS: DEALS 313
12.2.5 ORACLE 315
TABLE 255 ORACLE: BUSINESS OVERVIEW 315
FIGURE 52 ORACLE: COMPANY SNAPSHOT 316
TABLE 256 ORACLE: SOFTWARE/SERVICES OFFERED 316
TABLE 257 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS 317
TABLE 258 ORACLE: DEALS 317
12.2.6 SAS INSTITUTE 319
TABLE 259 SAS INSTITUTE: BUSINESS OVERVIEW 319
TABLE 260 SAS INSTITUTE: SOFTWARE/SERVICES OFFERED 320
TABLE 261 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS 320
TABLE 262 SAS INSTITUTE: DEALS 321
12.2.7 QUALTRICS 322
TABLE 263 QUALTRICS: BUSINESS OVERVIEW 322
FIGURE 53 QUALTRICS: COMPANY SNAPSHOT 323
TABLE 264 QUALTRICS: SOFTWARE/SERVICES OFFERED 323
TABLE 265 QUALTRICS: PRODUCT LAUNCHES AND ENHANCEMENTS 324
TABLE 266 QUALTRICS: DEALS 324
12.2.8 BAIDU 325
TABLE 267 BAIDU: BUSINESS OVERVIEW 325
FIGURE 54 BAIDU: COMPANY SNAPSHOT 326
TABLE 268 BAIDU: SOFTWARE/SERVICES OFFERED 326
TABLE 269 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS 326
12.2.9 INBENTA 327
TABLE 270 INBENTA: BUSINESS OVERVIEW 327
TABLE 271 INBENTA: SOFTWARE/SERVICES OFFERED 328
TABLE 272 INBENTA: PRODUCT LAUNCHES AND ENHANCEMENTS 328
TABLE 273 INBENTA: DEALS 329
12.2.10 BASIS TECHNOLOGY 330
TABLE 274 BASIS TECHNOLOGY: BUSINESS OVERVIEW 330
TABLE 275 BASIS TECHNOLOGY: SOFTWARE/SERVICES OFFERED 330
TABLE 276 BASIS TECHNOLOGY: PRODUCT LAUNCHES AND ENHANCEMENTS 331
TABLE 277 BASIS TECHNOLOGY: DEALS 331
12.2.11 NUANCE COMMUNICATIONS 332
TABLE 278 NUANCE COMMUNICATIONS: BUSINESS OVERVIEW 332
FIGURE 55 NUANCE COMMUNICATIONS: COMPANY SNAPSHOT 333
TABLE 279 NUANCE COMMUNICATIONS: SOFTWARE/SERVICES OFFERED 333
TABLE 280 NUANCE COMMUNICATIONS: PRODUCT LAUNCHES AND ENHANCEMENTS 334
TABLE 281 NUANCE COMMUNICATIONS: DEALS 335
12.2.12 EXPERT.AI 336
TABLE 282 EXPERT.AI: BUSINESS OVERVIEW 336
FIGURE 56 EXPERT.AI: COMPANY SNAPSHOT 336
TABLE 283 EXPERT.AI: SOFTWARE/SERVICES OFFERED 337
TABLE 284 EXPERT.AI: PRODUCT LAUNCHES AND ENHANCEMENTS 337
TABLE 285 EXPERT.AI: DEALS 338
12.2.13 LIVEPERSON 339
12.2.14 VERITONE 339
12.2.15 AUTOMATED INSIGHTS 340
12.2.16 BITEXT 340
12.2.17 CONVERSICA 341
12.2.18 ACCERN 341
12.2.19 KASISTO 342
12.2.20 KENSHO 342
12.2.21 ABBYY 343
12.2.22 MOSAIC 343
12.2.23 UNIPHORE 344
*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 345
12.3.1 OBSERVE.AI 345
12.3.2 LILT 345
12.3.3 COGNIGY 346
12.3.4 ADDEPTO 346
12.3.5 SKIT.AI 347
12.3.6 MINDTITAN 347
12.3.7 SUPERTEXT.AI 348
12.3.8 NARRATIVA 348
12.3.9 CRESTA 349
13 ADJACENT AND RELATED MARKETS 350
13.1 NLP IN HEALTHCARE & LIFE SCIENCES 350
13.1.1 MARKET DEFINITION 350
13.1.2 MARKET OVERVIEW 350
13.1.2.1 NLP in healthcare & life sciences market, by component 350
TABLE 286 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY COMPONENT, 2017–2021 (USD MILLION) 351
TABLE 287 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 351
TABLE 288 SOLUTIONS: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017–2021 (USD MILLION) 351
TABLE 289 SOLUTIONS: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022–2027 (USD MILLION) 351
TABLE 290 NLP IN HEALTHCARE & LIFE SCIENCES SOLUTIONS MARKET, BY TYPE, 2017–2021 (USD MILLION) 352
TABLE 291 NLP IN HEALTHCARE & LIFE SCIENCES SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION) 352
TABLE 292 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2017–2021 (USD MILLION) 352
TABLE 293 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2022–2027 (USD MILLION) 352
TABLE 294 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017–2021 (USD MILLION) 353
TABLE 295 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022–2027 (USD MILLION) 353
13.1.2.2 NLP in healthcare & life sciences market, by type 353
TABLE 296 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2017–2021 (USD MILLION) 353
TABLE 297 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2022–2027 (USD MILLION) 354
13.1.2.3 NLP in healthcare & life sciences market, by application 354
TABLE 298 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY APPLICATION, 2017–2021 (USD MILLION) 354
TABLE 299 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 355
13.1.2.4 NLP in healthcare & life sciences market, by size 355
TABLE 300 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY SIZE, 2017–2021 (USD MILLION) 355
TABLE 301 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY SIZE, 2022–2027 (USD MILLION) 355
13.1.2.5 NLP in healthcare & life sciences market, by deployment mode 356
TABLE 302 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION) 356
TABLE 303 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 356
13.1.2.6 NLP in healthcare & life sciences market, by technique 356
TABLE 304 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TECHNIQUE, 2017–2021 (USD MILLION) 357
TABLE 305 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TECHNIQUE, 2022–2027 (USD MILLION) 357
13.1.2.7 NLP in healthcare & life sciences market, by end user 357
TABLE 306 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY END USER, 2017–2021 (USD MILLION) 358
TABLE 307 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY END USER, 2022–2027 (USD MILLION) 358
13.1.2.8 NLP in healthcare & life sciences market, by region 358
TABLE 308 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017–2021 (USD MILLION) 359
TABLE 309 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022–2027 (USD MILLION) 359
13.2 SPEECH ANALYTICS MARKET 359
13.2.1 MARKET DEFINITION 359
13.2.2 MARKET OVERVIEW 360
13.2.2.1 Speech analytics market, by component 360
TABLE 310 SPEECH ANALYTICS MARKET, BY COMPONENT, 2018–2021(USD MILLION) 360
TABLE 311 SPEECH ANALYTICS MARKET, BY COMPONENT, 2022–2027(USD MILLION) 360
TABLE 312 SOLUTIONS: SPEECH ANALYTICS MARKET, BY REGION, 2018–2021(USD MILLION) 361
TABLE 313 SOLUTIONS: SPEECH ANALYTICS MARKET, BY REGION, 2022–2027(USD MILLION) 361
TABLE 314 SPEECH ANALYTICS MARKET, BY SERVICE, 2018–2021 (USD MILLION) 361
TABLE 315 SPEECH ANALYTICS MARKET, BY SERVICE, 2022–2027 (USD MILLION) 361
TABLE 316 SERVICES: SPEECH ANALYTICS MARKET, BY REGION, 2018–2021 (USD MILLION) 362
TABLE 317 SERVICES: SPEECH ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION) 362
13.2.2.2 Speech analytics market, by business function 362
TABLE 318 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2018–2021(USD MILLION) 362
TABLE 319 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD MILLION) 363
13.2.2.3 Speech analytics market, by organization size 363
TABLE 320 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION) 363
TABLE 321 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 363
13.2.2.4 Speech analytics market, by deployment mode 364
TABLE 322 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2018–2021(USD MILLION) 364
TABLE 323 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2022–2027(USD MILLION) 364
13.2.2.5 Speech analytics market, by application 364
TABLE 324 SPEECH ANALYTICS MARKET, BY APPLICATION, 2017–2021 (USD MILLION) 364
TABLE 325 SPEECH ANALYTICS MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 365
13.2.2.6 Speech analytics market, by vertical 365
TABLE 326 SPEECH ANALYTICS MARKET BY VERTICAL, 2017–2021 (USD MILLION) 365
TABLE 327 SPEECH ANALYTICS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 366
13.2.2.7 Speech analytics market, by region 366
TABLE 328 SPEECH ANALYTICS MARKET, BY REGION, 2017–2021 (USD MILLION) 366
TABLE 329 SPEECH ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION) 367
14 APPENDIX 368
14.1 DISCUSSION GUIDE 368
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 373
14.3 CUSTOMIZATION OPTIONS 375
14.4 RELATED REPORTS 375
14.5 AUTHOR DETAILS 376


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