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1534206

全球自然語言處理金融市場規模研究，按組件、技術、應用、產業垂直和區域預測 2022-2032

Global Natural Language Processing in Finance Market Size study, by Component by Technology, by Application, by Industry Vertical and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年，全球金融市場自然語言處理 (NLP) 價值約為 55.7 億美元，預計在 2024-2032 年預測期間將以超過 25.01% 的複合年成長率成長。金融領域的自然語言處理利用人工智慧和機器學習來解釋和分析金融資料中的人類語言，促進從新聞文章、財務報告和社交媒體等大量非結構化資料中提取見解。這種定性資訊向定量資料的轉化顯著提高了財務分析和營運的效率、準確性和速度，從而推動了行業內的創新。

全球自然語言處理（NLP）在金融市場的成長主要是由人工智慧和機器學習的不斷進步、非結構化資料量的不斷增加、對自動化和效率的需求激增、向基於雲端的服務的轉變以及對金融科技新創公司的認知和投資不斷成長。此外，人工智慧和機器學習技術的進步正在從根本上改變金融公司和機構的營運框架。這些人工智慧驅動的自然語言處理系統支援對客戶資料的全面分析，從而能夠提供個人化的財務建議和推薦。此功能使客戶能夠就投資、儲蓄和支出做出明智的決策。然而，資料隱私和安全問題等挑戰以及將 NLP 系統與遺留基礎設施整合相關的複雜性是市場成長的潛在障礙。

金融市場研究中的全球自然語言處理 (NLP) 考慮的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。 2023年，亞太地區金融市場中的自然語言處理將顯著成長，這歸因於該地區金融機構不斷擴大使用人工智慧驅動的資源和工具。利用 NLP 的聊天機器人被廣泛用於以客戶的母語與客戶互動，提供個人化幫助並解決與帳戶餘額、交易歷史相關的財務查詢，並提供財務建議。

目錄

第 1 章：金融市場中的全球自然語言處理 (NLP) 執行摘要

  • 全球自然語言處理（NLP）金融市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 按組件
    • 依技術
    • 按申請
    • 按行業分類
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：金融市場中的全球自然語言處理 (NLP) 定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包容與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：金融市場動態中的全球自然語言處理 (NLP)

  • 市場促進因素
    • AI 和 ML 不斷進步
    • 非結構化資料量不斷增加
    • 對自動化和效率的需求激增
    • 擴大轉向基於雲端的服務
    • 對金融科技新創企業的認知與投資不斷增強
  • 市場挑戰
    • 資料隱私和安全
    • 與遺留系統整合的複雜性
  • 市場機會
    • 擴展到新興經濟體
    • 越來越多採用人工智慧驅動的資源和工具

第 4 章：金融市場產業分析中的全球自然語言處理 (NLP)

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的 5 力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：金融市場規模和預測中的全球自然語言處理 (NLP)：按組成部分 - 2022-2032

  • 細分儀表板
  • 金融市場中的全球自然語言處理 (NLP)：2022 年和 2032 年組件收入趨勢分析
    • 軟體
    • 服務

第 6 章：金融領域的全球自然語言處理 (NLP) 市場規模與預測：按技術分類 - 2022-2032

  • 細分儀表板
  • 金融市場中的全球自然語言處理 (NLP)：2022 年和 2032 年技術收入趨勢分析
    • 機器學習
    • 深度學習
    • 自然語言生成
    • 文字分類
    • 主題建模
    • 情緒偵測
    • 其他

第 7 章：全球自然語言處理 (NLP) 在金融市場規模與預測：按應用分類 - 2022-2032

  • 細分儀表板
  • 金融市場中的全球自然語言處理 (NLP)：2022 年和 2032 年應用收入趨勢分析
    • 情緒分析
    • 風險管理和詐欺偵測
    • 合規監控
    • 投資分析
    • 財經新聞及市場分析
    • 客戶服務與支援
    • 文件和合約分析
    • 語音辨識與轉錄
    • 語言翻譯
    • 其他

第 8 章：金融市場規模和預測中的全球自然語言處理 (NLP)：按行業垂直 - 2022-2032

  • 細分儀表板
  • 金融市場中的全球自然語言處理 (NLP)：2022 年和 2032 年產業垂直收入趨勢分析
    • 銀行業
    • 保險
    • 金融服務
    • 其他

第 9 章：全球自然語言處理 (NLP) 在金融市場規模與預測：按地區 - 2022-2032

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 中東和非洲其他地區

第 10 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • Baidu, Inc.
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • Amazon Web Services, Inc.
    • IBM Corporation
    • Google LLC
    • Microsoft Corporation
    • SAS Institute Inc.
    • Facebook, Inc.
    • Nuance Communications, Inc.
    • Intel Corporation
    • OpenAI
    • H2O.ai
    • Narrative Science
    • Lexalytics, Inc.
    • Yseop
    • Adarga

第 11 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

Global Natural Language Processing (NLP) in Finance Market was valued at approximately USD 5.57 billion in 2023 and is expected to grow at a remarkable CAGR of over 25.01% during the forecast period 2024-2032. NLP in finance harnesses AI and machine learning to interpret and analyze human language in financial data, facilitating the extraction of insights from vast amounts of unstructured data such as news articles, financial reports, and social media. This transformation of qualitative information into quantitative data significantly enhances the efficiency, accuracy, and speed of financial analysis and operations, thereby driving innovation within the industry.

The growth of the Global Natural Language Processing (NLP) in Finance Market is primarily driven by increasing advancements in AI and ML, the rising volume of unstructured data, the surge in demand for automation and efficiency, the shift towards cloud-based services, and the growing awareness and investment in fintech startups. Moreover, the advancement of AI and ML technologies is fundamentally altering the operational frameworks of financial firms and institutions. These AI-driven NLP systems support the comprehensive analysis of customer data, enabling the provision of personalized financial advice and recommendations. This capability empowers clients to make informed decisions regarding investments, savings, and spending. However, challenges such as data privacy and security concerns and the complexities associated with integrating NLP systems with legacy infrastructure are potential obstacles to market growth.

The key regions considered for the Global Natural Language Processing (NLP) in Finance Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, Asia Pacific region is witnessing significant growth in the NLP in finance market, attributed to the expanding use of AI-powered resources and tools in financial institutions across the region. Chatbots, utilizing NLP, are extensively employed to interact with customers in their native languages, providing personalized assistance and resolving financial inquiries related to account balances, transaction histories, and offering financial advice.

Major market players included in this report are:

  • Baidu, Inc.
  • Amazon Web Services, Inc.
  • IBM Corporation
  • Google LLC
  • Microsoft Corporation
  • SAS Institute Inc.
  • Facebook, Inc.
  • Nuance Communications, Inc.
  • Intel Corporation
  • OpenAI
  • H2O.ai
  • Narrative Science
  • Lexalytics, Inc.
  • Yseop
  • Adarga

The detailed segments and sub-segment of the market are explained below:

By Component:

  • Software
  • Services

By Technology:

  • Machine Learning
  • Deep Learning
  • Natural Language Generation
  • Text Classification
  • Topic Modeling
  • Emotion Detection
  • Others

By Application:

  • Sentiment Analysis
  • Risk Management and Fraud Detection
  • Compliance Monitoring
  • Investment Analysis
  • Financial News and Market Analysis
  • Customer Service and Support
  • Document and Contract Analysis
  • Speech Recognition and Transcription
  • Language Translation
  • Others

By Industry Vertical:

  • Banking
  • Insurance
  • Financial Services
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • RoLA
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with country-level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Natural Language Processing (NLP) in Finance Market Executive Summary

  • 1.1. Global Natural Language Processing (NLP) in Finance Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Component
    • 1.3.2. By Technology
    • 1.3.3. By Application
    • 1.3.4. By Industry Vertical
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Natural Language Processing (NLP) in Finance Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Natural Language Processing (NLP) in Finance Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing advancements in AI and ML
    • 3.1.2. Rising volume of unstructured data
    • 3.1.3. Surge in the demand for automation and efficiency
    • 3.1.4. Rising shift toward cloud-based services
    • 3.1.5. Growing awareness and investment in fintech startups
  • 3.2. Market Challenges
    • 3.2.1. Data privacy and security
    • 3.2.2. Complexities in integration with legacy systems
  • 3.3. Market Opportunities
    • 3.3.1. Expansion into emerging economies
    • 3.3.2. Growing adoption of AI-powered resources and tools

Chapter 4. Global Natural Language Processing (NLP) in Finance Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Natural Language Processing (NLP) in Finance Market Size & Forecasts by Component 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Natural Language Processing (NLP) in Finance Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Software
    • 5.2.2. Services

Chapter 6. Global Natural Language Processing (NLP) in Finance Market Size & Forecasts by Technology 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Natural Language Processing (NLP) in Finance Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Machine Learning
    • 6.2.2. Deep Learning
    • 6.2.3. Natural Language Generation
    • 6.2.4. Text Classification
    • 6.2.5. Topic Modeling
    • 6.2.6. Emotion Detection
    • 6.2.7. Others

Chapter 7. Global Natural Language Processing (NLP) in Finance Market Size & Forecasts by Application 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Natural Language Processing (NLP) in Finance Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Sentiment Analysis
    • 7.2.2. Risk Management and Fraud Detection
    • 7.2.3. Compliance Monitoring
    • 7.2.4. Investment Analysis
    • 7.2.5. Financial News and Market Analysis
    • 7.2.6. Customer Service and Support
    • 7.2.7. Document and Contract Analysis
    • 7.2.8. Speech Recognition and Transcription
    • 7.2.9. Language Translation
    • 7.2.10. Others

Chapter 8. Global Natural Language Processing (NLP) in Finance Market Size & Forecasts by Industry Vertical 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global Natural Language Processing (NLP) in Finance Market: Industry Vertical Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 8.2.1. Banking
    • 8.2.2. Insurance
    • 8.2.3. Financial Services
    • 8.2.4. Others

Chapter 9. Global Natural Language Processing (NLP) in Finance Market Size & Forecasts by Region 2022-2032

  • 9.1. North America Natural Language Processing (NLP) in Finance Market
    • 9.1.1. U.S. Natural Language Processing (NLP) in Finance Market
      • 9.1.1.1. Component breakdown size & forecasts, 2022-2032
      • 9.1.1.2. Technology breakdown size & forecasts, 2022-2032
      • 9.1.1.3. Application breakdown size & forecasts, 2022-2032
      • 9.1.1.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.1.2. Canada Natural Language Processing (NLP) in Finance Market
      • 9.1.2.1. Component breakdown size & forecasts, 2022-2032
      • 9.1.2.2. Technology breakdown size & forecasts, 2022-2032
      • 9.1.2.3. Application breakdown size & forecasts, 2022-2032
      • 9.1.2.4. Industry Vertical breakdown size & forecasts, 2022-2032
  • 9.2. Europe Natural Language Processing (NLP) in Finance Market
    • 9.2.1. U.K. Natural Language Processing (NLP) in Finance Market
      • 9.2.1.1. Component breakdown size & forecasts, 2022-2032
      • 9.2.1.2. Technology breakdown size & forecasts, 2022-2032
      • 9.2.1.3. Application breakdown size & forecasts, 2022-2032
      • 9.2.1.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.2.2. Germany Natural Language Processing (NLP) in Finance Market
      • 9.2.2.1. Component breakdown size & forecasts, 2022-2032
      • 9.2.2.2. Technology breakdown size & forecasts, 2022-2032
      • 9.2.2.3. Application breakdown size & forecasts, 2022-2032
      • 9.2.2.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.2.3. France Natural Language Processing (NLP) in Finance Market
      • 9.2.3.1. Component breakdown size & forecasts, 2022-2032
      • 9.2.3.2. Technology breakdown size & forecasts, 2022-2032
      • 9.2.3.3. Application breakdown size & forecasts, 2022-2032
      • 9.2.3.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.2.4. Spain Natural Language Processing (NLP) in Finance Market
      • 9.2.4.1. Component breakdown size & forecasts, 2022-2032
      • 9.2.4.2. Technology breakdown size & forecasts, 2022-2032
      • 9.2.4.3. Application breakdown size & forecasts, 2022-2032
      • 9.2.4.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.2.5. Italy Natural Language Processing (NLP) in Finance Market
      • 9.2.5.1. Component breakdown size & forecasts, 2022-2032
      • 9.2.5.2. Technology breakdown size & forecasts, 2022-2032
      • 9.2.5.3. Application breakdown size & forecasts, 2022-2032
      • 9.2.5.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.2.6. Rest of Europe Natural Language Processing (NLP) in Finance Market
      • 9.2.6.1. Component breakdown size & forecasts, 2022-2032
      • 9.2.6.2. Technology breakdown size & forecasts, 2022-2032
      • 9.2.6.3. Application breakdown size & forecasts, 2022-2032
      • 9.2.6.4. Industry Vertical breakdown size & forecasts, 2022-2032
  • 9.3. Asia-Pacific Natural Language Processing (NLP) in Finance Market
    • 9.3.1. China Natural Language Processing (NLP) in Finance Market
      • 9.3.1.1. Component breakdown size & forecasts, 2022-2032
      • 9.3.1.2. Technology breakdown size & forecasts, 2022-2032
      • 9.3.1.3. Application breakdown size & forecasts, 2022-2032
      • 9.3.1.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.3.2. India Natural Language Processing (NLP) in Finance Market
      • 9.3.2.1. Component breakdown size & forecasts, 2022-2032
      • 9.3.2.2. Technology breakdown size & forecasts, 2022-2032
      • 9.3.2.3. Application breakdown size & forecasts, 2022-2032
      • 9.3.2.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.3.3. Japan Natural Language Processing (NLP) in Finance Market
      • 9.3.3.1. Component breakdown size & forecasts, 2022-2032
      • 9.3.3.2. Technology breakdown size & forecasts, 2022-2032
      • 9.3.3.3. Application breakdown size & forecasts, 2022-2032
      • 9.3.3.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.3.4. Australia Natural Language Processing (NLP) in Finance Market
      • 9.3.4.1. Component breakdown size & forecasts, 2022-2032
      • 9.3.4.2. Technology breakdown size & forecasts, 2022-2032
      • 9.3.4.3. Application breakdown size & forecasts, 2022-2032
      • 9.3.4.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.3.5. South Korea Natural Language Processing (NLP) in Finance Market
      • 9.3.5.1. Component breakdown size & forecasts, 2022-2032
      • 9.3.5.2. Technology breakdown size & forecasts, 2022-2032
      • 9.3.5.3. Application breakdown size & forecasts, 2022-2032
      • 9.3.5.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.3.6. Rest of Asia Pacific Natural Language Processing (NLP) in Finance Market
      • 9.3.6.1. Component breakdown size & forecasts, 2022-2032
      • 9.3.6.2. Technology breakdown size & forecasts, 2022-2032
      • 9.3.6.3. Application breakdown size & forecasts, 2022-2032
      • 9.3.6.4. Industry Vertical breakdown size & forecasts, 2022-2032
  • 9.4. Latin America Natural Language Processing (NLP) in Finance Market
    • 9.4.1. Brazil Natural Language Processing (NLP) in Finance Market
      • 9.4.1.1. Component breakdown size & forecasts, 2022-2032
      • 9.4.1.2. Technology breakdown size & forecasts, 2022-2032
      • 9.4.1.3. Application breakdown size & forecasts, 2022-2032
      • 9.4.1.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.4.2. Mexico Natural Language Processing (NLP) in Finance Market
      • 9.4.2.1. Component breakdown size & forecasts, 2022-2032
      • 9.4.2.2. Technology breakdown size & forecasts, 2022-2032
      • 9.4.2.3. Application breakdown size & forecasts, 2022-2032
      • 9.4.2.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.4.3. Rest of Latin America Natural Language Processing (NLP) in Finance Market
      • 9.4.3.1. Component breakdown size & forecasts, 2022-2032
      • 9.4.3.2. Technology breakdown size & forecasts, 2022-2032
      • 9.4.3.3. Application breakdown size & forecasts, 2022-2032
      • 9.4.3.4. Industry Vertical breakdown size & forecasts, 2022-2032
  • 9.5. Middle East & Africa Natural Language Processing (NLP) in Finance Market
    • 9.5.1. Saudi Arabia Natural Language Processing (NLP) in Finance Market
      • 9.5.1.1. Component breakdown size & forecasts, 2022-2032
      • 9.5.1.2. Technology breakdown size & forecasts, 2022-2032
      • 9.5.1.3. Application breakdown size & forecasts, 2022-2032
      • 9.5.1.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.5.2. South Africa Natural Language Processing (NLP) in Finance Market
      • 9.5.2.1. Component breakdown size & forecasts, 2022-2032
      • 9.5.2.2. Technology breakdown size & forecasts, 2022-2032
      • 9.5.2.3. Application breakdown size & forecasts, 2022-2032
      • 9.5.2.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.5.3. Rest of Middle East & Africa Natural Language Processing (NLP) in Finance Market
      • 9.5.3.1. Component breakdown size & forecasts, 2022-2032
      • 9.5.3.2. Technology breakdown size & forecasts, 2022-2032
      • 9.5.3.3. Application breakdown size & forecasts, 2022-2032
      • 9.5.3.4. Industry Vertical breakdown size & forecasts, 2022-2032

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. Baidu, Inc.
      • 10.3.1.1. Key Information
      • 10.3.1.2. Overview
      • 10.3.1.3. Financial (Subject to Data Availability)
      • 10.3.1.4. Product Summary
      • 10.3.1.5. Market Strategies
    • 10.3.2. Amazon Web Services, Inc.
    • 10.3.3. IBM Corporation
    • 10.3.4. Google LLC
    • 10.3.5. Microsoft Corporation
    • 10.3.6. SAS Institute Inc.
    • 10.3.7. Facebook, Inc.
    • 10.3.8. Nuance Communications, Inc.
    • 10.3.9. Intel Corporation
    • 10.3.10. OpenAI
    • 10.3.11. H2O.ai
    • 10.3.12. Narrative Science
    • 10.3.13. Lexalytics, Inc.
    • 10.3.14. Yseop
    • 10.3.15. Adarga

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes