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市场调查报告书
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1843916

2025年全球自然语言处理（NLP）市场报告

Natural Language Processing (NLP) Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，自然语言处理（NLP）市场发展迅速，预计将从2024年的304.5亿美元成长到2025年的383亿美元，复合年增长率达25.8%。这段时期的成长主要受以下因素驱动：非结构化资料量不断增加、对进阶资料分析的需求不断增长、客户体验不断改善、社群媒体和线上内容的兴起以及医疗保健资讯撷取。

预计未来几年自然语言处理 (NLP) 市场将呈指数级增长，到 2029 年市场规模将达到 1,122.4 亿美元，年复合成长率（CAGR）为 30.8%。预测期内的成长可归因于数位助理的持续发展、商业智慧应用的日益广泛、多语言 NLP 解决方案的普及以及对监管合规性的重视。预测期内的关键趋势包括：与巨量资料分析的整合、跨渠道和跨平台 NLP、对隐私和伦理 NLP 的关注、与虚拟实境和扩增实境的集成，以及持续学习和自适应 NLP 模型。

自然语言处理（NLP）是人工智慧的一个分支，它使电脑能够理解和改进人类语言。 NLP利用人工智慧技术，使电脑能够解释现实世界的输入，并以更接近人类理解的方式进行理解。电脑透过麦克风或程式接收讯息。

自然语言处理（NLP）包含多种主要类型，例如文字处理、语音处理和影像处理。文字分析是NLP中的一种人工智慧（AI）技术，它将文件和资料库中的非结构化文字转换为规范化的结构化数据，以便进行分析并输入到机器学习（ML）演算法中。 NLP的部署方式包括本地部署、云端部署或混合部署，其统计元件可用于自动摘要、情感分析、风险和威胁侦测。包括教育、银行、金融服务和保险（BFSI）、医疗保健、IT和电信、零售、製造以及媒体和娱乐在内的众多终端用户行业都受益于NLP的应用。

美国在2025年春季突然提高关税及其引发的贸易摩擦，对资讯科技产业，特别是硬体製造、资料基础设施和软体部署领域，产生了重大影响。进口半导体、电路基板和网路设备的关税上涨，推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品的公司面临更长的前置作业时间和价格压力。同时，对专用软体征收的关税以及主要国际市场的报復性措施，扰乱了全球IT供应链，并降低了海外对美国製造技术的需求。为了应对这些挑战，该产业正在加大对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化技术来增强韧性，更有效地控製成本。

这份自然语言处理 (NLP) 市场研究报告是商业研究公司最新报告系列的一部分，提供自然语言处理 (NLP) 市场统计数据，例如全球市场规模、区域份额、竞争对手及其市场份额、详细的市场细分、市场趋势以及自然语言处理 (NLP) 行业的商机。本自然语言处理 (NLP) 市场研究报告对该行业的现状和未来发展趋势进行了详细分析，为您提供所需的一切全面观点。

未来五年30.8%的成长率预测较我们先前对该市场的预测略微下调了0.4%。这一下调主要归因于美国与其他国家之间的关税影响。与关税相关的成本压力会推高运算基础设施（尤其是人工智慧加速器）的成本，这可能会限制美国公司开发自然语言处理（NLP）应用，特别是那些依赖海外云端资料中心的公司。此外，相互关税以及日益加剧的贸易紧张局势和限制措施对全球经济和贸易的负面影响也可能产生更广泛的影响。

智慧型设备使用量的快速成长正在推动自然语言处理（NLP）市场的扩张。智慧型设备的特点是能够透过无线方式连接到网路和其他设备，并利用NLP技术来解释和分析使用者发出的语音指令。例如，线上数据和洞察机构DataReportal报告称，智慧型手机的使用量保持着5.7%的年增长率，平均每天新增100万部智慧型手机。预计智慧型设备使用量的趋势将成为未来几年NLP市场持续成长的关键驱动力。

快速成长的电子商务产业预计将在不久的将来成为自然语言处理（NLP）市场成长的关键驱动力。电子商务涉及商品和服务的线上买卖，在推动NLP市场发展方面发挥重要作用。 NLP在电子商务领域广泛应用，可用于情感建议、客户支援聊天机器人、个人化推荐和高效产品搜寻。这些NLP主导的功能有助于改善用户体验，促进无缝互动，并提高客户满意度和参与度。值得注意的是，根据国际贸易组织2021年10月发布的报告，预计到2024年，消费品电子商务将占全球零售额的约22%，并维持平均超过1%的稳定成长。此外，预计2024年，零售电子商务销售额将长期稳定成长，占全球零售电子商务总额的8%。因此，不断扩张的电子商务产业正在推动自然语言处理（NLP）市场的成长。

技术进步是自然语言处理 (NLP) 市场的关键趋势。行业主要企业正在升级并推出先进的 NLP 软体，从而推动市场成长。例如，总部位于美国的人工智慧公司 Kensho Technologies 于 2023 年 3 月推出了名为 Kensho Classify 的全新自然语言处理 (NLP) 解决方案。这款创新工具旨在从概念上理解和分类文檔，简化使用者从大量文字中提取洞见的过程。此解决方案提高了文字和文件的可发现性，从而促进更有效率的分析和更精简的研究。

自然语言处理 (NLP) 市场的领导者正积极寻求包括 NLP 解决方案在内的先进技术，以拓展基本客群、提升销售额并提高整体收入。在此语境下，NLP 解决方案指的是旨在增强电脑理解、解释和生成人类语言能力的技术和系统。一个值得关注的例子是美国人工智慧公司 Kensho Technologies Inc.，该公司于 2023 年 3 月发布了 Kensho Classify。 Kensho Classify 是一款强大的解决方案，能够从大量文字和文件资料集中提取价值，增强内容髮现能力，并促进高级文字分析。其独特功能包括智慧搜寻、内容调查以及高效的研究和分析工具。无论是虚拟资料室 (VDR) 和内容管理系统 (CMS) 等文件平台，或是金融专业人士在庞大的文件库中寻找市场讯号，Kensho Classify 都能简化流程，确保内容的组织、发现和可操作性。

2022年3月，总部位于美国的科技公司微软成功收购了Nuance Communications。此次策略性收购将协助微软推动更有效率、更经济、更便利的医疗保健解决方案，并促进各产业打造高度个人化的客户体验。 Nuance Communications是一家总部位于美国的科技公司，专注于环境智慧、自然语言处理（NLP）和对话式人工智慧（AI），业务遍及金融服务、医疗保健、零售和通讯等多个领域。 Nuance的专业技术融入微软的产品组合，将增强两家公司的实力，推动创新，并使其能够满足不断变化的技术格局的需求。

自然语言处理市场包括提供软体工具的营业单位产生的收入，这些工具能够利用机器学习和人工智慧技术自动完成文字摘要、文字撷取、文字分类、使用者语言伙伴分析和智慧助理等流程。市场价值还包括服务提供者销售的或包含在其服务产品中的相关商品的价值。仅包括在营业单位之间交易或销售给最终消费者的商品和服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第 4 章 市场 - 宏观经济情境 宏观经济情境包括利率、通货膨胀、地缘政治、贸易战和关税，以及 COVID-19 疫情和復苏对市场的影响。

第五章 全球成长分析与策略分析框架

  • 自然语言处理（NLP）全球：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球自然语言处理（NLP）市场：成长率分析
  • 全球自然语言处理（NLP）市场表现：规模与成长，2019-2024年
  • 全球自然语言处理（NLP）市场预测：规模与成长，2024-2029年，2034年
  • 全球自然语言处理（NLP）：潜在市场规模（TAM）

第六章 市场细分

  • 全球自然语言处理 (NLP) 市场按处理类型、表现和预测划分，2019-2024 年、2024-2029 年、2034 年
  • 文字
  • 言语或声音
  • 影像
  • 全球自然语言处理 (NLP) 市场：按部署、效能和预测划分，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 云
  • 全球自然语言处理 (NLP) 市场按组件、效能和预测划分，2019-2024 年、2024-2029 年、2034 年
  • 统计数据
  • 杂交种
  • 全球自然语言处理 (NLP) 市场按应用、效能和预测划分，2019-2024 年、2024-2029 年、2034 年
  • 自动摘要
  • 情绪分析
  • 风险和威胁侦测
  • 全球自然语言处理 (NLP) 市场按最终用户产业划分、表现及预测（2019-2024 年、2024-2029 年、2034 年）
  • 教育
  • BFSI
  • 卫生保健
  • 资讯科技和通讯
  • 零售
  • 製造业
  • 媒体与娱乐
  • 其他终端用户产业
  • 全球自然语言处理 (NLP) 市场：按文本类型细分、表现和预测（2019-2024 年、2024-2029 年、2034 年）
  • 文字分析
  • 情绪分析
  • 文字分类
  • 命名实体识别（NER）
  • 全球自然语言处理 (NLP) 市场：按语音或语音类型细分、表现和预测（2019-2024 年、2024-2029 年、2034 年）
  • 语音辨识
  • 语音助理
  • 语音控制系统
  • 语音转文字
  • 全球自然语言处理 (NLP) 市场：按图像、类型、表现和预测进行细分，2019-2024 年、2024-2029 年、2034 年
  • 影像识别
  • 光学字元辨识（OCR）
  • 图片说明
  • 视觉问答

第七章 区域和国家分析

  • 全球自然语言处理（NLP）市场：按地区、绩效和预测划分，2019-2024年、2024-2029年、2034年
  • 全球自然语言处理 (NLP) 市场：按国家、绩效和预测划分，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 自然语言处理（NLP）市场：竞争格局
  • 自然语言处理（NLP）市场：公司概况
    • Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Alibaba Group Overview, Products and Services, Strategy and Financial Analysis
    • Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • The Hewlett-Packard Company
  • IBM
  • Cisco Systems Inc.
  • NVIDIA Corp
  • Salesforce.com Inc.
  • Toshiba Corporation
  • Baidu Research
  • Adobe Inc.
  • SAS Institute Inc.
  • OpenAI
  • Amazon.com Inc.
  • Apple Inc.
  • Meta Platforms Inc.
  • NetBase Quid Inc.
  • Observe.AI

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年自然语言处理（NLP）市场：提供新机会的国家
  • 2029年自然语言处理（NLP）市场：新兴细分市场机会
  • 自然语言处理 (NLP) 市场 2029 年：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r26780u

Natural Language Processing (NLP) is an artificial intelligence field that empowers computers to comprehend and scrutinize human language. NLP enables computers, using artificial intelligence, to interpret real-world input and comprehend it in a manner akin to human understanding. Computers acquire information through microphones and programs.

NLP encompasses primary types such as text, speech/voice, and image processing. Text analytics, an artificial intelligence (AI) technique within NLP, transforms unstructured text in documents and databases into normalized, structured data, suitable for analysis or input to machine learning (ML) algorithms. NLP deployment options include on-premise, cloud, or a hybrid approach, with statistical components applicable in automatic summarization, sentiment analysis, risk, and threat detection. Various end-user sectors, including education, BFSI, healthcare, IT and telecom, retail, manufacturing, media and entertainment, among others, benefit from NLP applications.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The natural language processing (NLP) market research report is one of a series of new reports from The Business Research Company that provides natural language processing (NLP) market statistics, including natural language processing (NLP) industry global market size, regional shares, competitors with a natural language processing (NLP) market share, detailed natural language processing (NLP) market segments, market trends and opportunities, and any further data you may need to thrive in the natural language processing (NLP) industry. This natural language processing (NLP) 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 natural language processing (nlp) market size has grown exponentially in recent years. It will grow from $30.45 billion in 2024 to $38.3 billion in 2025 at a compound annual growth rate (CAGR) of 25.8%. The growth in the historic period can be attributed to increasing volume of unstructured data, demand for advanced data analytics, enhanced customer experience, rise of social media and online content, healthcare information extraction.

The natural language processing (nlp) market size is expected to see exponential growth in the next few years. It will grow to $112.24 billion in 2029 at a compound annual growth rate (CAGR) of 30.8%. The growth in the forecast period can be attributed to continued growth in digital assistants, expanding use in business intelligence, multilingual NLP solutions, focus on regulatory compliance. Major trends in the forecast period include integration with big data analytics, cross-channel and cross-platform NLP, emphasis on privacy and ethical NLP, integration with virtual and augmented reality, continuous learning and adaptive NLP models.

The forecast of 30.8% growth over the next five years reflects a modest reduction of 0.4% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff-related cost pressures on compute infrastructure especially AI accelerators may constrain U.S. firms developing NLP applications, particularly those relying on offshore cloud data centers. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The surge in the utilization of smart devices is fueling the expansion of the Natural Language Processing (NLP) market. Smart devices, characterized by their connection to networks or other devices through wireless modes, leverage NLP to interpret and analyze voice commands provided by users. As an illustration, DataReportal, an online data and insights agency, reports a consistent 5.7% annual growth rate in the number of smartphones in use, with an average addition of 1 million new smartphones daily. This upward trend in smart device usage is anticipated to be a significant driver for the continued growth of the NLP market in the future.

The burgeoning e-commerce sector is poised to be a significant driver for the growth of the Natural Language Processing (NLP) market in the foreseeable future. E-commerce, involving the online buying and selling of goods and services, is instrumental in propelling the NLP market forward. NLP finds extensive application in the e-commerce domain, facilitating sentiment analysis, customer support chatbots, personalized recommendations, and efficient product searches. These NLP-driven functionalities contribute to an enhanced user experience, fostering seamless interactions, and elevating customer satisfaction and engagement. Notably, a report from the International Trade Administration in October 2021 anticipates that e-commerce for consumer goods will represent approximately 22% of global retail sales by 2024, exhibiting a steady average growth rate exceeding 1%. Furthermore, retail e-commerce sales are expected to maintain a consistent long-term increase of 8% in the overall global retail e-commerce sales through 2024. Consequently, the expanding e-commerce sector stands as a driving force behind the growth of the Natural Language Processing (NLP) market.

Technological advancements have become a significant trend in the NLP market. Leading companies in this sector are upgrading and introducing advanced NLP software to drive market growth. For example, in March 2023, Kensho Technologies, a US-based artificial intelligence company, launched a new Natural Language Processing (NLP) solution called Kensho Classify. This innovative tool is designed to conceptually understand and classify documents, simplifying the process for users to extract insights from large volumes of text. The solution improves the discoverability of text and documents, facilitating more efficient analysis and streamlined research.

Leading enterprises in the natural language processing (NLP) market are actively pursuing advanced technologies, including NLP solutions, to broaden their customer base, boost sales, and augment overall revenue. NLP solutions, in this context, refer to technologies or systems designed to empower computers in understanding, interpreting, and generating human-such as language. A noteworthy example is Kensho Technologies Inc., a US-based artificial intelligence company, which introduced Kensho Classify in March 2023. Kensho Classify distinguishes itself as a robust solution adept at extracting value from extensive text and document datasets, elevating content discoverability, and facilitating sophisticated text analysis. Its distinctive features encompass intelligent search functionality, content recommendations, and efficient research and analysis tools. Whether employed by document platforms such as Virtual Data Rooms (VDRs) and Content Management Systems (CMSs) or by finance professionals seeking market signals within vast document repositories, Kensho Classify streamlines the process, ensuring that content becomes more organized, discoverable, and actionable.

In March 2022, Microsoft Corp., a technology company based in the United States, successfully acquired Nuance Communications Inc. for an undisclosed sum. This strategic acquisition positions Microsoft to contribute to the advancement of more efficient, cost-effective, and accessible healthcare solutions, as well as facilitate the creation of highly personalized customer experiences across various industries. Nuance Communications, a U.S.-based company specializing in ambient intelligence, natural language processing (NLP), and conversational artificial intelligence (AI), operates in diverse sectors such as financial services, healthcare, retail, and telecommunications. The integration of Nuance's expertise into Microsoft's portfolio enhances the capabilities of both entities, fostering innovation and addressing evolving needs in the technology landscape.

Major companies operating in the natural language processing (NLP) market include Google LLC, Microsoft Corporation, Alibaba Group, Dell Technologies Inc., Intel Corporation, The Hewlett-Packard Company, IBM, Cisco Systems Inc., NVIDIA Corp, Salesforce.com Inc., Toshiba Corporation, Baidu Research, Adobe Inc., SAS Institute Inc., OpenAI, Amazon.com Inc., Apple Inc., Meta Platforms Inc., NetBase Quid Inc., Observe.AI, Allen Institute for AI, Gnani Innovations Private Limited.

North America was the largest region in the NLP market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the natural language processing (nlp) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the natural language processing (nlp) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The natural language processing market includes revenues earned by entities by providing software tools that automate the processes for text summarization, text extraction, text classification, analyzing user language partners, and smart assistance using machine learning and artificial intelligence technology. 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 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.

Natural Language Processing (NLP) Global Market Report 2025 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 natural language processing (nlp) 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.

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Where is the largest and fastest growing market for natural language processing (nlp) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The natural language processing (nlp) 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 forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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 Processing Type: Text; Speech Or Voice; Image
  • 2) By Deployment: On-Premise; Cloud
  • 3) By Component: Statistical; Hybrid
  • 4) By Application: Automatic Summarization; Sentiment Analysis; Risk And Threat Detection
  • 5) By End User Industry: Education; BFSI; Healthcare; IT And Telecom; Retail; Manufacturing; Media And Entertainment; Other End User Industries
  • Subsegments:
  • 1) By Text: Text Analysis; Sentiment Analysis; Text Classification; Named Entity Recognition (NER)
  • 2) By Speech or Voice: Speech Recognition; Voice Assistants; Voice Command Systems; Speech-to-Text Conversion
  • 3) By Image: Image Recognition; Optical Character Recognition (OCR); Image Captioning; Visual Question Answering
  • Companies Mentioned: Google LLC; Microsoft Corporation; Alibaba Group; Dell Technologies Inc.; Intel Corporation; The Hewlett-Packard Company; IBM; Cisco Systems Inc.; NVIDIA Corp; Salesforce.com Inc.; Toshiba Corporation; Baidu Research; Adobe Inc.; SAS Institute Inc.; OpenAI; Amazon.com Inc.; Apple Inc.; Meta Platforms Inc.; NetBase Quid Inc.; Observe.AI; Allen Institute for AI; Gnani Innovations Private Limited.
  • 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. Natural Language Processing (NLP) Market Characteristics

3. Natural Language Processing (NLP) Market Trends And Strategies

4. Natural Language Processing (NLP) Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Natural Language Processing (NLP) Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Natural Language Processing (NLP) PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Natural Language Processing (NLP) Market Growth Rate Analysis
  • 5.4. Global Natural Language Processing (NLP) Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Natural Language Processing (NLP) Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Natural Language Processing (NLP) Total Addressable Market (TAM)

6. Natural Language Processing (NLP) Market Segmentation

  • 6.1. Global Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Text
  • Speech Or Voice
  • Image
  • 6.2. Global Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premise
  • Cloud
  • 6.3. Global Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Statistical
  • Hybrid
  • 6.4. Global Natural Language Processing (NLP) Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Automatic Summarization
  • Sentiment Analysis
  • Risk And Threat Detection
  • 6.5. Global Natural Language Processing (NLP) Market, Segmentation By End User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Education
  • BFSI
  • Healthcare
  • IT And Telecom
  • Retail
  • Manufacturing
  • Media And Entertainment
  • Other End User Industries
  • 6.6. Global Natural Language Processing (NLP) Market, Sub-Segmentation Of Text, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Text Analysis
  • Sentiment Analysis
  • Text Classification
  • Named Entity Recognition (NER)
  • 6.7. Global Natural Language Processing (NLP) Market, Sub-Segmentation Of Speech or Voice, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Speech Recognition
  • Voice Assistants
  • Voice Command Systems
  • Speech-to-Text Conversion
  • 6.8. Global Natural Language Processing (NLP) Market, Sub-Segmentation Of Image, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Image Recognition
  • Optical Character Recognition (OCR)
  • Image Captioning
  • Visual Question Answering

7. Natural Language Processing (NLP) Market Regional And Country Analysis

  • 7.1. Global Natural Language Processing (NLP) Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Natural Language Processing (NLP) Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Natural Language Processing (NLP) Market

  • 8.1. Asia-Pacific Natural Language Processing (NLP) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Natural Language Processing (NLP) Market

  • 9.1. China Natural Language Processing (NLP) Market Overview
  • 9.2. China Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Natural Language Processing (NLP) Market

  • 10.1. India Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Natural Language Processing (NLP) Market

  • 11.1. Japan Natural Language Processing (NLP) Market Overview
  • 11.2. Japan Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Natural Language Processing (NLP) Market

  • 12.1. Australia Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Natural Language Processing (NLP) Market

  • 13.1. Indonesia Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Natural Language Processing (NLP) Market

  • 14.1. South Korea Natural Language Processing (NLP) Market Overview
  • 14.2. South Korea Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Natural Language Processing (NLP) Market

  • 15.1. Western Europe Natural Language Processing (NLP) Market Overview
  • 15.2. Western Europe Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Natural Language Processing (NLP) Market

  • 16.1. UK Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Natural Language Processing (NLP) Market

  • 17.1. Germany Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Natural Language Processing (NLP) Market

  • 18.1. France Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Natural Language Processing (NLP) Market

  • 19.1. Italy Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Natural Language Processing (NLP) Market

  • 20.1. Spain Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Natural Language Processing (NLP) Market

  • 21.1. Eastern Europe Natural Language Processing (NLP) Market Overview
  • 21.2. Eastern Europe Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Natural Language Processing (NLP) Market

  • 22.1. Russia Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Natural Language Processing (NLP) Market

  • 23.1. North America Natural Language Processing (NLP) Market Overview
  • 23.2. North America Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Natural Language Processing (NLP) Market

  • 24.1. USA Natural Language Processing (NLP) Market Overview
  • 24.2. USA Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Natural Language Processing (NLP) Market

  • 25.1. Canada Natural Language Processing (NLP) Market Overview
  • 25.2. Canada Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Natural Language Processing (NLP) Market

  • 26.1. South America Natural Language Processing (NLP) Market Overview
  • 26.2. South America Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Natural Language Processing (NLP) Market

  • 27.1. Brazil Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Natural Language Processing (NLP) Market

  • 28.1. Middle East Natural Language Processing (NLP) Market Overview
  • 28.2. Middle East Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Natural Language Processing (NLP) Market

  • 29.1. Africa Natural Language Processing (NLP) Market Overview
  • 29.2. Africa Natural Language Processing (NLP) Market, Segmentation By Processing Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Natural Language Processing (NLP) Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Natural Language Processing (NLP) Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Natural Language Processing (NLP) Market Competitive Landscape And Company Profiles

  • 30.1. Natural Language Processing (NLP) Market Competitive Landscape
  • 30.2. Natural Language Processing (NLP) Market Company Profiles
    • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Alibaba Group Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Dell Technologies Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Natural Language Processing (NLP) Market Other Major And Innovative Companies

  • 31.1. The Hewlett-Packard Company
  • 31.2. IBM
  • 31.3. Cisco Systems Inc.
  • 31.4. NVIDIA Corp
  • 31.5. Salesforce.com Inc.
  • 31.6. Toshiba Corporation
  • 31.7. Baidu Research
  • 31.8. Adobe Inc.
  • 31.9. SAS Institute Inc.
  • 31.10. OpenAI
  • 31.11. Amazon.com Inc.
  • 31.12. Apple Inc.
  • 31.13. Meta Platforms Inc.
  • 31.14. NetBase Quid Inc.
  • 31.15. Observe.AI

32. Global Natural Language Processing (NLP) Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Natural Language Processing (NLP) Market

34. Recent Developments In The Natural Language Processing (NLP) Market

35. Natural Language Processing (NLP) Market High Potential Countries, Segments and Strategies

  • 35.1 Natural Language Processing (NLP) Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Natural Language Processing (NLP) Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Natural Language Processing (NLP) Market In 2029 - 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