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

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


1. Introduction
1.1. Report Description
1.1.1. Objectives of the Study
1.1.2. Market Scope
1.1.3. Assumptions
1.2. Stakeholders
2. Executive Summary
2.1. Market Highlights
3. Research Methodology
3.1. Overview
3.1.1. Data Mining
3.2. Data Sources
3.2.1. Primary Sources
3.2.2. Secondary Sources
4. Global NLP in Finance Market Insights
4.1. NLP in Finance – Industry Snapshot
4.2. NLP in Finance Market Dynamics
4.2.1. Drivers and Opportunities
4.2.1.1. Growing demand for financial services that are automated and efficient, as well as a need for accurate and real-time analysis of complex financial data
4.2.1.2. Emergence of AI and ML Models
4.2.2. Restraints and Challenges
4.2.2.1. Lack of Standardization in NLP-based Financial Applications and Services
4.3. Porter’s Five Forces Analysis
4.3.1. Bargaining Power of Suppliers (Moderate)
4.3.2. Threats of New Entrants: (Low)
4.3.3. Bargaining Power of Buyers (Moderate)
4.3.4. Threat of Substitute (Moderate)
4.3.5. Rivalry among existing firms (High)
4.4. PESTLE Analysis
4.5. NLP in Finance Industry Trends
4.6. Value Chain Analysis
4.7. COVID-19 Impact Analysis
5. Global NLP in Finance Market, by Offering
5.1. Key Findings
5.2. Introduction
5.2.1. Global NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
5.3. Software
5.3.1. Global NLP in Finance Market, by Software, by Region, 2019-2032 (USD Billion)
5.4. Services
5.4.1. Global NLP in Finance Market, by Services, by Region, 2019-2032 (USD Billion)
6. Global NLP in Finance Market, by Application
6.1. Key Findings
6.2. Introduction
6.2.1. Global NLP in Finance Market, by Application, 2019-2032 (USD Billion)
6.3. Sentiment Analysis
6.3.1. Global NLP in Finance Market, by Sentiment Analysis, by Region, 2019-2032 (USD Billion)
6.4. Customer Service & Support
6.4.1. Global NLP in Finance Market, by Customer Service & Support, by Region, 2019-2032 (USD Billion)
6.5. Fraud Detection & Prevention
6.5.1. Global NLP in Finance Market, by Fraud Detection & Prevention, by Region, 2019-2032 (USD Billion)
6.6. Risk Management
6.6.1. Global NLP in Finance Market, by Risk Management, by Region, 2019-2032 (USD Billion)
6.7. Others (e.g., Trading, Compliance)
6.7.1. Global NLP in Finance Market, by Others (e.g., Trading, Compliance), by Region, 2019-2032 (USD Billion)
7. Global NLP in Finance Market, by Technology
7.1. Key Findings
7.2. Introduction
7.2.1. Global NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
7.3. Machine Learning
7.3.1. Global NLP in Finance Market, by Machine Learning, by Region, 2019-2032 (USD Billion)
7.4. Rule-Based
7.4.1. Global NLP in Finance Market, by Rule-Based, by Region, 2019-2032 (USD Billion)
7.5. Hybrid (Combination of Machine Learning and Rule-Based)
7.5.1. Global NLP in Finance Market, by Hybrid (Combination of Machine Learning and Rule-Based), by Region, 2019-2032 (USD Billion)
8. Global NLP in Finance Market, by Vertical
8.1. Key Findings
8.2. Introduction
8.2.1. Global NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
8.3. Banking
8.3.1. Global NLP in Finance Market, by Banking, by Region, 2019-2032 (USD Billion)
8.4. Insurance
8.4.1. Global NLP in Finance Market, by Insurance, by Region, 2019-2032 (USD Billion)
8.5. Investment & Wealth Management
8.5.1. Global NLP in Finance Market, by Investment & Wealth Management, by Region, 2019-2032 (USD Billion)
8.6. Others (e.g., Accounting, Financial Planning)
8.6.1. Global NLP in Finance Market, by Others (e.g., Accounting, Financial Planning), by Region, 2019-2032 (USD Billion)
9. Global NLP in Finance Market, by Geography
9.1. Key findings
9.2. Introduction
9.2.1. NLP in Finance Market Assessment, By Geography, 2019-2032 (USD Billion)
9.3. NLP in Finance Market – North America
9.3.1. North America: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.3.2. North America: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.3.3. North America: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.3.4. North America: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.3.5. NLP in Finance Market – U.S.
9.3.5.1. U.S.: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.3.5.2. U.S.: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.3.5.3. U.S.: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.3.5.4. U.S.: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.3.6. NLP in Finance Market – Canada
9.3.6.1. Canada: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.3.6.2. Canada: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.3.6.3. Canada: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.3.6.4. Canada: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.4. NLP in Finance Market – Europe
9.4.1. Europe: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.4.2. Europe: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.4.3. Europe: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.4.4. Europe: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.4.5. NLP in Finance Market – UK
9.4.5.1. UK: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.4.5.2. UK: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.4.5.3. UK: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.4.5.4. UK: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.4.6. NLP in Finance Market – France
9.4.6.1. France: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.4.6.2. France: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.4.6.3. France: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.4.6.4. France: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.4.7. NLP in Finance Market – Germany
9.4.7.1. Germany: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.4.7.2. Germany: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.4.7.3. Germany: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.4.7.4. Germany: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.4.8. NLP in Finance Market – Italy
9.4.8.1. Italy: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.4.8.2. Italy: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.4.8.3. Italy: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.4.8.4. Italy: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.4.9. NLP in Finance Market – Spain
9.4.9.1. Spain: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.4.9.2. Spain: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.4.9.3. Spain: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.4.9.4. Spain: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.4.10. NLP in Finance Market – Netherlands
9.4.10.1. Netherlands: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.4.10.2. Netherlands: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.4.10.3. Netherlands: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.4.10.4. Netherlands: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.4.11. NLP in Finance Market – Russia
9.4.11.1. Russia: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.4.11.2. Russia.: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.4.11.3. Russia: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.4.11.4. Russia: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.5. NLP in Finance Market – Asia Pacific
9.5.1. Asia Pacific: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.5.2. Asia Pacific: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.5.3. Asia Pacific: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.5.4. Asia Pacific: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.5.5. NLP in Finance Market – China
9.5.5.1. China: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.5.5.2. China.: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.5.5.3. China: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.5.5.4. China: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.5.6. NLP in Finance Market – India
9.5.6.1. India: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.5.6.2. India.: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.5.6.3. India: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.5.6.4. India: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.5.7. NLP in Finance Market – Japan
9.5.7.1. Japan: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.5.7.2. Japan.: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.5.7.3. Japan: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.5.7.4. Japan: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.5.8. NLP in Finance Market – Malaysia
9.5.8.1. Malaysia: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.5.8.2. Malaysia.: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.5.8.3. Malaysia: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.5.8.4. Malaysia: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.5.9. NLP in Finance Market – Indonesia
9.5.9.1. Indonesia: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.5.9.2. Indonesia.: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.5.9.3. Indonesia: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.5.9.4. Indonesia: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.5.10. NLP in Finance Market – South Korea
9.5.10.1. South Korea: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.5.10.2. South Korea.: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.5.10.3. South Korea: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.5.10.4. South Korea: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.6. NLP in Finance Market – Middle East & Africa
9.6.1. Middle East & Africa: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.6.2. Middle East & Africa: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.6.3. Middle East & Africa: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.6.4. Middle East & Africa: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.6.5. NLP in Finance Market – Saudi Arabia
9.6.5.1. Saudi Arabia: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.6.5.2. Saudi Arabia: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.6.5.3. Saudi Arabia: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.6.5.4. Saudi Arabia: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.6.6. NLP in Finance Market – South Africa
9.6.6.1. South Africa: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.6.6.2. South Africa: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.6.6.3. South Africa: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.6.6.4. South Africa: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.6.7. NLP in Finance Market – Israel
9.6.7.1. Israel: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.6.7.2. Israel: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.6.7.3. Israel: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.6.7.4. Israel: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.6.8. NLP in Finance Market – UAE
9.6.8.1. UAE: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.6.8.2. UAE: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.6.8.3. UAE: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.6.8.4. UAE: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.7. NLP in Finance Market – Latin America
9.7.1. Latin America: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.7.2. Latin America: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.7.3. Latin America: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.7.4. Latin America: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.7.5. NLP in Finance Market – Mexico
9.7.5.1. Mexico: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.7.5.2. Mexico: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.7.5.3. Mexico: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.7.5.4. Mexico: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.7.6. NLP in Finance Market – Brazil
9.7.6.1. Brazil: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.7.6.2. Brazil: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.7.6.3. Brazil: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.7.6.4. Brazil: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
9.7.7. NLP in Finance Market – Argentina
9.7.7.1. Argentina: NLP in Finance Market, by Offering, 2019-2032 (USD Billion)
9.7.7.2. Argentina: NLP in Finance Market, by Vertical, 2019-2032 (USD Billion)
9.7.7.3. Argentina: NLP in Finance Market, by Application, 2019-2032 (USD Billion)
9.7.7.4. Argentina: NLP in Finance Market, by Technology, 2019-2032 (USD Billion)
10. Competitive Landscape
10.1. Expansion and Acquisition Analysis
10.1.1. Expansion
10.1.2. Acquisitions
10.2. Partnerships/Collaborations/Agreements/Exhibitions
11. Company Profiles
11.1. IBM
11.1.1. Company Overview
11.1.2. Financial Performance
11.1.3. Product Benchmarking
11.1.4. Recent Development
11.2. Google
11.2.1. Company Overview
11.2.2. Financial Performance
11.2.3. Product Benchmarking
11.2.4. Recent Development
11.3. Microsoft
11.3.1. Company Overview
11.3.2. Financial Performance
11.3.3. Product Benchmarking
11.3.4. Recent Development
11.4. Intel
11.4.1. Company Overview
11.4.2. Financial Performance
11.4.3. Product Benchmarking
11.4.4. Recent Development
11.5. Amazon
11.5.1. Company Overview
11.5.2. Financial Performance
11.5.3. Product Benchmarking
11.5.4. Recent Development
11.6. NVIDIA
11.6.1. Company Overview
11.6.2. Financial Performance
11.6.3. Product Benchmarking
11.6.4. Recent Development
11.7. Facebook
11.7.1. Company Overview
11.7.2. Financial Performance
11.7.3. Product Benchmarking
11.7.4. Recent Development
11.8. Apple
11.8.1. Company Overview
11.8.2. Financial Performance
11.8.3. Product Benchmarking
11.8.4. Recent Development
11.9. SAP
11.9.1. Company Overview
11.9.2. Financial Performance
11.9.3. Product Benchmarking
11.9.4. Recent Development
11.10. Nuance Communications
11.10.1. Company Overview
11.10.2. Financial Performance
11.10.3. Product Benchmarking
11.10.4. Recent Development
11.11. Digital Reasoning Systems
11.11.1. Company Overview
11.11.2. Financial Performance
11.11.3. Product Benchmarking
11.11.4. Recent Development
11.12. Ayasdi
11.12.1. Company Overview
11.12.2. Financial Performance
11.12.3. Product Benchmarking
11.12.4. Recent Development
11.13. Lexalytics
11.13.1. Company Overview
11.13.2. Financial Performance
11.13.3. Product Benchmarking
11.13.4. Recent Development
11.14. 3DiVi
11.14.1. Company Overview
11.14.2. Financial Performance
11.14.3. Product Benchmarking
11.14.4. Recent Development
11.15. Yseop
11.15.1. Company Overview
11.15.2. Financial Performance
11.15.3. Product Benchmarking
11.15.4. Recent Development
11.16. Verint Systems
11.16.1. Company Overview
11.16.2. Financial Performance
11.16.3. Product Benchmarking
11.16.4. Recent Development
11.17. Numenta
11.17.1. Company Overview
11.17.2. Financial Performance
11.17.3. Product Benchmarking
11.17.4. Recent Development
11.18. IPsoft
11.18.1. Company Overview
11.18.2. Financial Performance
11.18.3. Product Benchmarking
11.18.4. Recent Development
11.19. Mindbreeze
11.19.1. Company Overview
11.19.2. Financial Performance
11.19.3. Product Benchmarking
11.19.4. Recent Development
11.20. Expert System
11.20.1. Company Overview
11.20.2. Financial Performance
11.20.3. Product Benchmarking
11.20.4. Recent Development
11.21. Pragmatic Works
11.21.1. Company Overview
11.21.2. Financial Performance
11.21.3. Product Benchmarking
11.21.4. Recent Development
11.22. RapidMiner
11.22.1. Company Overview
11.22.2. Financial Performance
11.22.3. Product Benchmarking
11.22.4. Recent Development
11.23. Trooclick
11.23.1. Company Overview
11.23.2. Financial Performance
11.23.3. Product Benchmarking
11.23.4. Recent Development
11.24. Luminoso Technologies
11.24.1. Company Overview
11.24.2. Financial Performance
11.24.3. Product Benchmarking
11.24.4. Recent Development
11.25. Veritone
11.25.1. Company Overview
11.25.2. Financial Performance
11.25.3. Product Benchmarking
11.25.4. Recent Development
11.26. Algoworks Technologies
11.26.1. Company Overview
11.26.2. Financial Performance
11.26.3. Product Benchmarking
11.26.4. Recent Development
11.27. Bitext Innovations
11.27.1. Company Overview
11.27.2. Financial Performance
11.27.3. Product Benchmarking
11.27.4. Recent Development
11.28. Meya.ai
11.28.1. Company Overview
11.28.2. Financial Performance
11.28.3. Product Benchmarking
11.28.4. Recent Development
11.29. OpenText
11.29.1. Company Overview
11.29.2. Financial Performance
11.29.3. Product Benchmarking
11.29.4. Recent Development
11.30. KAI
11.30.1. Company Overview
11.30.2. Financial Performance
11.30.3. Product Benchmarking
11.30.4. Recent Development
11.31. Textkernel
11.31.1. Company Overview
11.31.2. Financial Performance
11.31.3. Product Benchmarking
11.31.4. Recent Development
11.32. Attivio
11.32.1. Company Overview
11.32.2. Financial Performance
11.32.3. Product Benchmarking
11.32.4. Recent Development
11.33. Squirro
11.33.1. Company Overview
11.33.2. Financial Performance
11.33.3. Product Benchmarking
11.33.4. Recent Development
11.34. SparkCognition
11.34.1. Company Overview
11.34.2. Financial Performance
11.34.3. Product Benchmarking
11.34.4. Recent Development
11.35. Idibon
11.35.1. Company Overview
11.35.2. Financial Performance
11.35.3. Product Benchmarking
11.35.4. Recent Development
11.36. NLP Logix
11.36.1. Company Overview
11.36.2. Financial Performance
11.36.3. Product Benchmarking
11.36.4. Recent Development
11.37. Megvii Technologies
11.37.1. Company Overview
11.37.2. Financial Performance
11.37.3. Product Benchmarking
11.37.4. Recent Development
11.38. DigitalGenius
11.38.1. Company Overview
11.38.2. Financial Performance
11.38.3. Product Benchmarking
11.38.4. Recent Development
11.39. Smartlogic Semaphore
11.39.1. Company Overview
11.39.2. Financial Performance
11.39.3. Product Benchmarking
11.39.4. Recent Development
11.40. Basis Technology
11.40.1. Company Overview
11.40.2. Financial Performance
11.40.3. Product Benchmarking
11.40.4. Recent Development

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