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市场调查报告书
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1534206

全球自然语言处理金融市场规模研究，按组件、技术、应用、产业垂直和区域预测 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个工作天内

价格
简介目录

2023 年，全球金融市场自然语言处理 (NLP) 价值约为 55.7 亿美元，预计在 2024-2032 年预测期间将以超过 25.01% 的复合年增长率成长。金融领域的自然语言处理利用人工智慧和机器学习来解释和分析金融资料中的人类语言，促进从新闻文章、财务报告和社交媒体等大量非结构化资料中提取见解。这种定性资讯向定量资料的转化显着提高了财务分析和营运的效率、准确性和速度，从而推动了行业内的创新。

全球自然语言处理（NLP）在金融市场的成长主要是由人工智慧和机器学习的不断进步、非结构化资料量的不断增加、对自动化和效率的需求激增、向基于云端的服务的转变以及对金融科技新创公司的认识和投资不断增长。此外，人工智慧和机器学习技术的进步正在从根本上改变金融公司和机构的营运框架。这些人工智慧驱动的自然语言处理系统支援对客户资料的全面分析，从而能够提供个人化的财务建议和推荐。此功能使客户能够就投资、储蓄和支出做出明智的决策。然而，资料隐私和安全问题等挑战以及将 NLP 系统与遗留基础设施整合相关的复杂性是市场成长的潜在障碍。

金融市场研究中的全球自然语言处理 (NLP) 考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲和世界其他地区。 2023年，亚太地区金融市场中的自然语言处理将显着成长，这归因于该地区金融机构不断扩大使用人工智慧驱动的资源和工具。利用 NLP 的聊天机器人被广泛用于以客户的母语与客户互动，提供个人化帮助并解决与帐户余额、交易历史相关的财务查询，并提供财务建议。

目录

第 1 章：金融市场中的全球自然语言处理 (NLP) 执行摘要

  • 全球自然语言处理（NLP）金融市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 按组件
    • 依技术
    • 按申请
    • 按行业分类
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：金融市场中的全球自然语言处理 (NLP) 定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包容与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：金融市场动态中的全球自然语言处理 (NLP)

  • 市场驱动因素
    • AI 和 ML 不断进步
    • 非结构化资料量不断增加
    • 对自动化和效率的需求激增
    • 越来越多地转向基于云端的服务
    • 对金融科技新创企业的认识与投资不断增强
  • 市场挑战
    • 资料隐私和安全
    • 与遗留系统整合的复杂性
  • 市场机会
    • 扩展到新兴经济体
    • 越来越多采用人工智慧驱动的资源和工具

第 4 章：金融市场产业分析中的全球自然语言处理 (NLP)

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的 5 力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：金融市场规模和预测中的全球自然语言处理 (NLP)：按组成部分 - 2022-2032

  • 细分仪表板
  • 金融市场中的全球自然语言处理 (NLP)：2022 年和 2032 年组件收入趋势分析
    • 软体
    • 服务

第 6 章：金融领域的全球自然语言处理 (NLP) 市场规模与预测：按技术分类 - 2022-2032

  • 细分仪表板
  • 金融市场中的全球自然语言处理 (NLP)：2022 年和 2032 年技术收入趋势分析
    • 机器学习
    • 深度学习
    • 自然语言生成
    • 文字分类
    • 主题建模
    • 情绪侦测
    • 其他的

第 7 章：全球自然语言处理 (NLP) 在金融市场规模与预测：按应用分类 - 2022-2032

  • 细分仪表板
  • 金融市场中的全球自然语言处理 (NLP)：2022 年和 2032 年应用收入趋势分析
    • 情绪分析
    • 风险管理和诈欺侦测
    • 合规监控
    • 投资分析
    • 财经新闻及市场分析
    • 客户服务与支援
    • 文件和合约分析
    • 语音辨识与转录
    • 语言翻译
    • 其他的

第 8 章：金融市场规模和预测中的全球自然语言处理 (NLP)：按行业垂直 - 2022-2032

  • 细分仪表板
  • 金融市场中的全球自然语言处理 (NLP)：2022 年和 2032 年产业垂直收入趋势分析
    • 银行业
    • 保险
    • 金融服务
    • 其他的

第 9 章：全球自然语言处理 (NLP) 在金融市场规模与预测：按地区 - 2022-2032

  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 中东和非洲其他地区

第 10 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • Baidu, Inc.
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • 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：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

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