NLP in Finance Market Share, Size, Trends, Industry Analysis Report, By Offering (Software, Services); By Application; By Technology (Machine Learning, Rule-Based, Hybrid); By Vertical; By Region; Segment Forecast, 2023 - 2032
The global NLP in finance market size is expected to reach USD 47.92 billion by 2032, according to a new study by Polaris Market Research. The report “NLP in Finance Market Share, Size, Trends, Industry Analysis Report, By Offering (Software, Services); By Application; By Technology (Machine Learning, Rule-Based, Hybrid); By Vertical; By Region; Segment Forecast, 2023 - 2032” gives a detailed insight into current market dynamics and provides analysis on future market growth.
The significant rise in payment frauds, amounting to over Rs 800 crore, during the fourth quarter ended March 2023, as reported by the Reserve Bank of India, is a compelling driving factor fueling the growth of NLP in the finance market. Financial institutions are increasingly recognizing the urgent need to combat such fraudulent activities and are turning to NLP technology for effective solutions. By leveraging NLP algorithms, these institutions can analyze and interpret vast volumes of textual data, including fraud reports and transaction records, to detect patterns, anomalies, and suspicious behaviors. This proactive approach facilitated by NLP empowers financial organizations to enhance their fraud detection capabilities, mitigate risks, and protect their customers' financial assets.
According to International Data Corporation (IDC), From 2022 to 2026, the size of the Global DataSphere is anticipated too more than double. This expansion signifies the increasing volume of data being generated worldwide, leading to a demand for NLP technology to efficiently process, analyze, and extract insights from this vast amount of data. The growth of the Global DataSphere fuels the adoption of NLP in finance, enabling data-driven decision-making, customer understanding and personalization, and enhanced risk management and compliance. This will further fuel the growth of the market in coming years.
NLP in Finance Market Report Highlights
Service segment is anticipated to witness faster growth in the coming years due to the increasing demand for system integration.
Fraud Detection & Prevention segment accounted for the larger market share owing to the growing fraudulent activities.
Machine learning segment is expected to have higher growth due to increasing availability of unstructured data and the need for real-time insights.
Banking segment is projected to experience a larger revenue share due to the increasing need to extract meaningful insights from unstructured data.
Asia Pacific is projected to register a higher growth rate in the study period owing to increasing adoption of digital banking.
North America is expected to grow larger revenue share owing to the growing investments by the fintech companies.
The global players include IBM, Google, Microsoft, Intel, Amazon, NVIDIA, Facebook, Apple, SAP, Nuance Communications, Megvii Technologies, DigitalGenius, Smartlogic Semaphore & Basis Technology.
Polaris Market Research has segmented the NLP in finance market report based on offering, application, technology, vertical and region:
NLP in Finance, Offering Outlook (Revenue - USD Billion, 2019 - 2032)
Software
Rule-based NLP Software
Regular Expression (Regex)
Finite State Machines (FSMs)
Named Entity Recognition (NER)
Part-of-speech (POS) Tagging
Statistical NLP Software
Naive Bayes
Logistic Regression
Support Vector Machines (SVMs)
Recurrent Neural Networks (RNNs),
Hybrid NLP software
Latent Dirichlet Allocation (LDA) • Hidden Markov Models (HMMs)
Conditional Random Fields (CRFs)
Services
Professional Services
Training and Consulting
System Integration and Implementation
Support and Maintenance
Managed Services
NLP in Finance, Application Outlook (Revenue - USD Billion, 2019 - 2032)
Sentiment Analysis
Brand Monitoring
Customer Feedback Analysis
Brand Reputation Management
Customer Service & Support
Chatbots
Interactive Voice Response (IVR)
Email Response
Fraud Detection & Prevention
Payment Fraud Detection
Account Takeover Detection
Identity Theft Detection
Risk Management
Credit Risk Analysis
Market Risk Analysis
Operational Risk Analysis
Others (e.g., Trading, Compliance)
Algorithmic Trading
Trade Surveillance
Regulatory Compliance
NLP in Finance, Technology Outlook (Revenue - USD Billion, 2019 - 2032)
Machine Learning
Natural Language Processing (NLP) Algorithms
Deep Learning Algorithms
Others (e.g., Random Forest, SVM)
Rule-Based
Pattern Matching
Keyword-Based
Hybrid (Combination of Machine Learning and Rule-Based)
Supervised Machine Learning
Semi-Supervised Machine Learning
NLP in Finance, Vertical Outlook (Revenue - USD Billion, 2019 - 2032)
Banking
Retail Banking
Corporate Banking
Investment Banking
Insurance
Life Insurance
Property & Casualty Insurance
Investment & Wealth Management
Asset Management
Wealth Management
Others (e.g., Accounting, Financial Planning)
Accounting & Bookkeeping
Financial Planning & Analysis to
NLP in Finance, Regional Outlook (Revenue - USD Billion, 2019 - 2032)
North America
U.S.
Canada
Europe
Germany
UK
France
Italy
Spain
Russia
Netherlands
Asia Pacific
China
India
Japan
South Korea
Indonesia
Malaysia
Latin America
Argentina
Brazil
Mexico
Middle East & Africa
UAE
Saudi Arabia
Israel
South Africa