サンプル依頼リスト カート
  • English
  • Korean
  • Traditional Chinese
  • Simplified Chinese
デフォルト表紙
市場調査レポート
商品コード
1455506

金融におけるNLPの世界市場レポート 2024

NLP in Finance Global Market Report 2024
出版日: 受注後更新 | 発行: The Business Research Company | ページ情報: 英文 175 Pages | 納期: 2～10営業日

● お客様のご希望に応じて、既存データの加工や未掲載情報（例：国別セグメント）の追加などの対応が可能です。　 詳細はお問い合わせください。

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=156.76円
金融におけるNLPの世界市場レポート 2024
出版日: 受注後更新
発行: The Business Research Company
ページ情報: 英文 175 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 目次
概要

金融におけるNLP市場規模は、今後数年間で急激に成長すると予想されています。 2028年には24.8%の年間複合成長率（CAGR）で161億4,000万米ドルに成長すると予想されます。予測期間中に予想される成長は、人工知能（AI）の採用が増加していること、自動化された効率的な金融サービスへの需要が高まっていること、金融領域におけるAIと機械学習（ML）モデルの出現、データ抽出と分析への注目の高まり、不正検知とセキュリティ対策の重視の高まりなど、いくつかの要因に起因しています。この期間に予想される主な動向には、クラウドストレージソリューションの革新、金融分野におけるNLP内の継続的な製品革新、継続的な技術進歩、金融分野における自然言語処理アプリケーションのさらなる進歩を促進するための業界関係者間のコラボレーションの増加などが含まれます。

人工知能（AI）の採用の増加により、金融におけるNLP市場の成長が促進されようとしています。人間の知能を機械に複製するAIは、金融を含むさまざまな業界に不可欠なものになりつつあります。 AIを活用したNLPは、ニュース記事、財務報告書、ソーシャルメディアコンテンツなどの広範なテキストデータソースから貴重な洞察を抽出できるようにすることで、金融機関において重要な役割を果たしています。これにより、効率的な分析が容易になり、金融専門家が情報に基づいた意思決定を行えるようになります。 2022年 1月の政府デジタルサービスによると、AIの導入率は2020年の15.1%から2025年には22.7%に上昇し、日常業務にAIを導入する企業は267,000社増加しました。このAIの導入の増加は、金融におけるNLP市場の成長を推進する重要な推進力です。

金融におけるNLP市場の大手企業は、AIテクノロジーを活用して高度な機能で顧客サービスを強化するなど、革新的なテクノロジーの開発を積極的に行っています。 AIテクノロジーは、通常は人間の知能を必要とするタスクをコンピューターシステムで実行できるように設計されており、金融サービスの情勢を変革するために活用されています。 2023年 5月、英国に本拠を置く銀行および金融サービス会社HSBCは、機関投資家の国際市場との関わりを強化するために、専用のNLPを利用したデジタルサービスであるAI Marketsを開始しました。 AI Markets内の独自のNLPエンジンにより、ユーザーはパーソナライズされた金融市場分析を作成し、HSBCからの最新および過去のクロスアセットデータセットにアクセスし、簡単なコマンドを通じて最新の市場洞察を探索できます。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界市場規模と成長

  • 世界の市場促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 世界の市場規模実績と成長、2018年～2023年
  • 世界の市場規模予測と成長、2023年～2028年、2033年

第6章 市場セグメンテーション

  • 世界の金融におけるNLP市場、提供物別のセグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • サービス
  • ソフトウェア
  • 世界の金融におけるNLP市場、技術別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • 機械学習
  • ディープラーニング
  • 自然言語の生成
  • テキストの分類
  • トピックモデリング
  • 感情の検出
  • その他の技術
  • 世界の金融におけるNLP市場、業界別セグメンテーション、実績および予測、2018-2023、2023-2028年、2033年
  • 銀行業
  • 保険
  • 金融業務
  • その他のエンタープライズ分野

第7章 地域および国の分析

  • 世界の金融におけるNLP市場、地域別、実績および予測、2018-2023年、2023-2028年、2033年
  • 世界の金融におけるNLP市場、国別、実績および予測、2018～2023年、2023～2028年、2033年

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • 市場の競合情勢
  • 市場企業プロファイル
    • Google LLC
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • IBM Corporation
    • Oracle Corporation

第31章 その他の主要および革新的な企業

  • Mosaic
  • Baidu
  • SAS Institute
  • Qualtrics
  • LivePerson
  • Nuance Communications
  • Veritone
  • Basis Technology
  • Uniphore
  • Expert.ai
  • Bitext
  • ABBYY
  • Automated Insights
  • Conversica
  • Skit.ai

第32章 競合ベンチマーキング

第33章 競合ダッシュボード

第34章 主要な合併と買収

第35章 将来の見通しと可能性の分析

第36章 付録

目次
Product Code: r16507

Natural Language Processing (NLP) in Finance refers to the utilization of language understanding and processing techniques within the financial domain. This involves leveraging computational algorithms to analyze, interpret, and extract insights from textual data in the financial sector. NLP in finance enables the automation of tasks such as information extraction, sentiment analysis, and language translation, contributing to more efficient and informed decision-making processes within the financial industry.

The primary offerings in the realm of NLP in finance consist of services and software. Services can be defined as acts or utilities for which consumers, firms, or governments are willing to pay. Various technologies are employed in NLP applications, including machine learning, deep learning, natural language generation, text classification, topic modeling, emotion detection, and other related technologies. These technologies find applications across various verticals, including banking, insurance, financial services, and other enterprise sectors. The integration of NLP technologies in finance facilitates advanced analysis and decision-making processes by extracting valuable insights from textual data.

The NLP in finance market research report is one of a series of new reports from The Business Research Company that provides NLP in finance market statistics, including the NLP in finance industry global market size, regional shares, competitors with an NLP in finance market share, detailed NLP in finance market segments, market trends and opportunities, and any further data you may need to thrive in the NLP in finance industry. This NLP in finance market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The nlp in finance market size has grown exponentially in recent years. It will grow from $5.34 billion in 2023 to $6.65 billion in 2024 at a compound annual growth rate (CAGR) of 24.3%. The growth observed in the historical period can be attributed to several factors, including the rise in content creation, evolution in artificial intelligence (AI) and deep learning technologies, acceleration in the deployment of large language models (LLMs), and the enhanced customer experiences facilitated by these advancements. Additionally, the application of sentiment analysis in the finance industry has played a significant role in leveraging natural language processing (NLP) to gain insights from textual data, contributing to informed decision-making and improved customer engagement.

The nlp in finance market size is expected to see exponential growth in the next few years. It will grow to $16.14 billion in 2028 at a compound annual growth rate (CAGR) of 24.8%. The anticipated growth in the forecast period can be attributed to several factors, including the increasing adoption of artificial intelligence (AI), a growing demand for automated and efficient financial services, the emergence of AI and machine learning (ML) models in the financial domain, heightened focus on data extraction and analysis, and the increasing emphasis on fraud detection and security measures. Major trends expected in this period include the innovation of cloud storage solutions, continuous product innovations within the NLP in finance sector, ongoing technological advancements, and a rise in collaborations among industry players to drive further advancements in natural language processing applications within the financial domain.

The increasing adoption of Artificial Intelligence (AI) is poised to drive the growth of the Natural Language Processing (NLP) in the finance market. AI, which involves replicating human intelligence in machines, is becoming integral to various industries, including finance. AI-powered NLP plays a crucial role in financial institutions by enabling them to extract valuable insights from extensive textual data sources such as news articles, financial reports, and social media content. This facilitates efficient analysis and empowers financial professionals to make informed decisions. According to the Government Digital Service in January 2022, the adoption rate of AI rose to 22.7% in 2025 from 15.1% in 2020, with 267,000 more companies implementing AI in their daily operations. This increasing adoption of AI is a key driver propelling the growth of the NLP in the finance market.

Leading companies in the NLP in the finance market are actively developing innovative technologies, including leveraging AI technologies to enhance customer service with advanced features. AI technology, designed to enable computer systems to perform tasks that typically require human intelligence, is being harnessed to transform the financial services landscape. In May 2023, HSBC, a UK-based banking and financial services company, launched AI Markets, a digital service utilizing purpose-built NLP to enhance institutional investors' engagement with international markets. The proprietary NLP engine within AI Markets enables users to create personalized financial market analytics, access up-to-the-minute and historical cross-asset data sets from HSBC, and explore the latest market insights through simple commands.

In March 2023, Microsoft Corporation, a US-based technology corporation, acquired Nuance Communications Inc. for $19.7 billion. This acquisition presents opportunities to integrate Nuance's advanced NLP and speech recognition capabilities into various financial services, potentially enhancing customer experiences, security measures, data analysis, and overall innovation within the finance market. Nuance Communications Inc. is a US-based computer software technology corporation specializing in AI applications in the field of financial services.

Major companies operating in the nlp in finance market report are Google LLC, Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, Mosaic, Baidu, SAS Institute, Qualtrics, LivePerson, NuanceCommunications, Veritone, Basis Technology, Uniphore, Expert.ai, Bitext, ABBYY, Automated Insights, Conversica, Skit.ai, Kensho, Kasisto, Inbenta, Observe.Al, Addepto, Accern

North America was the largest region in the nlp in finance market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the nlp in finance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the NLP in finance market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The NLP in finance market includes revenues earned by entities by dataset analyzing, recognizing trends, customer interaction analyzing. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The NLP in finance market consists of sales of central processing units (CPUs), graphics processing units (GPUs), and application-specific integrated circuits (ASICs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

NLP in Finance Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on nlp in finance market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for nlp in finance ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The nlp in finance market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

  • 1) By Offering: Services; Software
  • 2) By Technology: Machine learning; Deep learning; Natural language generation; Text classification; Topic modeling; Emotion detection; Other Technologies
  • 3) By Vertical: Banking; Insurance; Financial services; Other Enterprise Verticals
  • Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc.; IBM Corporation; Oracle Corporation
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. NLP in Finance Market Characteristics

3. NLP in Finance Market Trends And Strategies

4. NLP in Finance Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global NLP in Finance Market Size and Growth

  • 5.1. Global NLP in Finance Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global NLP in Finance Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global NLP in Finance Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. NLP in Finance Market Segmentation

  • 6.1. Global NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Services
  • Software
  • 6.2. Global NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Machine learning
  • Deep learning
  • Natural language generation
  • Text classification
  • Topic modeling
  • Emotion detection
  • Other Technologies
  • 6.3. Global NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Banking
  • Insurance
  • Financial services
  • Other Enterprise Verticals

7. NLP in Finance Market Regional And Country Analysis

  • 7.1. Global NLP in Finance Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global NLP in Finance Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific NLP in Finance Market

  • 8.1. Asia-Pacific NLP in Finance Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China NLP in Finance Market

  • 9.1. China NLP in Finance Market Overview
  • 9.2. China NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India NLP in Finance Market

  • 10.1. India NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan NLP in Finance Market

  • 11.1. Japan NLP in Finance Market Overview
  • 11.2. Japan NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia NLP in Finance Market

  • 12.1. Australia NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia NLP in Finance Market

  • 13.1. Indonesia NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea NLP in Finance Market

  • 14.1. South Korea NLP in Finance Market Overview
  • 14.2. South Korea NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe NLP in Finance Market

  • 15.1. Western Europe NLP in Finance Market Overview
  • 15.2. Western Europe NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK NLP in Finance Market

  • 16.1. UK NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany NLP in Finance Market

  • 17.1. Germany NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France NLP in Finance Market

  • 18.1. France NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy NLP in Finance Market

  • 19.1. Italy NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain NLP in Finance Market

  • 20.1. Spain NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe NLP in Finance Market

  • 21.1. Eastern Europe NLP in Finance Market Overview
  • 21.2. Eastern Europe NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia NLP in Finance Market

  • 22.1. Russia NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America NLP in Finance Market

  • 23.1. North America NLP in Finance Market Overview
  • 23.2. North America NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA NLP in Finance Market

  • 24.1. USA NLP in Finance Market Overview
  • 24.2. USA NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada NLP in Finance Market

  • 25.1. Canada NLP in Finance Market Overview
  • 25.2. Canada NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America NLP in Finance Market

  • 26.1. South America NLP in Finance Market Overview
  • 26.2. South America NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil NLP in Finance Market

  • 27.1. Brazil NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East NLP in Finance Market

  • 28.1. Middle East NLP in Finance Market Overview
  • 28.2. Middle East NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa NLP in Finance Market

  • 29.1. Africa NLP in Finance Market Overview
  • 29.2. Africa NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. NLP in Finance Market Competitive Landscape And Company Profiles

  • 30.1. NLP in Finance Market Competitive Landscape
  • 30.2. NLP in Finance Market Company Profiles
    • 30.2.1. Google LLC
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Microsoft Corporation
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Amazon Web Services Inc.
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. IBM Corporation
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Oracle Corporation
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. NLP in Finance Market Other Major And Innovative Companies

  • 31.1. Mosaic
  • 31.2. Baidu
  • 31.3. SAS Institute
  • 31.4. Qualtrics
  • 31.5. LivePerson
  • 31.6. Nuance Communications
  • 31.7. Veritone
  • 31.8. Basis Technology
  • 31.9. Uniphore
  • 31.10. Expert.ai
  • 31.11. Bitext
  • 31.12. ABBYY
  • 31.13. Automated Insights
  • 31.14. Conversica
  • 31.15. Skit.ai

32. Global NLP in Finance Market Competitive Benchmarking

33. Global NLP in Finance Market Competitive Dashboard

34. Key Mergers And Acquisitions In The NLP in Finance Market

35. NLP in Finance Market Future Outlook and Potential Analysis

  • 35.1 NLP in Finance Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 NLP in Finance Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 NLP in Finance Market In 2028 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer