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市場調查報告書
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1444855

NLP - 市場佔有率分析、產業趨勢與統計、成長預測（2024 - 2029）

NLP - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

NLP 市場規模預計 2024 年為 317.6 億美元，預計到 2029 年將達到 929.9 億美元，預測期內（2024-2029 年）CAGR為 23.97%。

NLP-市場

主要亮點

  • 在過去的幾年裡，深度學習架構和演算法在影像辨識和語音處理方面取得了令人印象深刻的進展。自然語言處理（NLP）的應用做出了重大貢獻，為一些複雜的 NLP 應用任務產生了最先進的結果。由於經濟實惠、可擴展、運算能力強、資料數位化程度提高以及 NLP 與深度學習 (DL) 和機器學習 (ML) 的融合，NLP 在過去幾年中取得了長足的發展。
  • NLP 在醫療保健和呼叫中心中的使用不斷增加、對高級文字分析的需求不斷成長以及機器對機器技術的不斷發展是該市場研究的主要因素。
  • 隨著許多組織使用該技術來攝取和分析大量患者資料，NLP 正在見證醫療中心的成長。此外，網路和連接設備的日益使用，以及大量的患者資料，正在推動所研究市場的成長。除此之外，迅速增加的資料安全問題，以及組織之間基於 NLP 的軟體的可近性極低，正在阻礙產業擴張。
  • 疫情期間，醫療保健產業市場快速成長。例如，為了因應 COVID-19 大流行，白宮和領先研究小組聯盟準備了 COVID-19 開放研究資料集 (CORD-19)。 CORD-19 是一個包含超過 200,000 篇學術文章的資源，其中包括超過 100,000 篇關於 COVID-19、SARS-CoV-2 和相關冠狀病毒的全文。這個免費提供的資料集已提供給全球研究界，以應用自然語言處理和其他人工智慧技術的最新進展，以產生支持對抗這種傳染病的新見解。

自然語言處理市場趨勢

大型組織預計將顯著成長

  • 大型組織是 NLP 市場的主要推動者和投資者之一。隨著這些組織擴大在各種應用中採用深度學習以及監督和無監督機器學習技術，NLP 的採用可能會增加。成本和風險是推動大型組織採用這些技術的一些主要因素。
  • 各行業的大多數大型最終用戶組織主要利用這些技術來增強其內部和外部營運。而且，科技的投資報酬率有時只是以貨幣形式體現；因此，大多數小型組織發現投資有風險。
  • 此外，大型社群媒體平台還利用文字分析和自然語言處理技術來監控和追蹤社群媒體活動，例如政治評論和仇恨言論。 Facebook 和 Twitter 等平台正在這些工具的幫助下管理已發布的內容。由於網路資料對於有效行銷和決策的重要性日益增加，因此預計對資訊擷取產品應用的需求也會增加。在未來幾年內，行動聊天機器人預計將徹底改變行銷和商業領域。
  • 2022 年 9 月，語言內容提供者 Lexicala 為語言科技領域和學術研究推出了新的多語言詞彙資料解決方案。自然語言處理 (NLP) 應用解決方案中包含領域分類、文本註釋、專家平行語料庫、形態學和其他優質跨語言資源。

北美將見證最高的市場成長

  • 根據 RichRelevance 的數據，與其他平台相比，美國的線上購物者更傾向於使用 Google Assistant。此外，利用智慧揚聲器在不同主題上獲得結果越來越受歡迎，這反過來又有望迫使公司投資該技術。這為其他應用程式開發人員瞄準潛在客戶創造了巨大的機會。
  • NLP 還可以透過各種附加好處來增強客戶體驗計劃，從而吸引更多的消費者，進而預計將對該國的市場成長產生積極影響。總部位於美國的全球參與者研究的市場中不斷成長的創新正在推動 NLP 市場的進步，並推動該地區的產品發布速度。
  • 例如，IBM Research AI 正在探索 NLP 在企業領域的各種應用。為此，該公司開發了三個項目，第一個是高級人工智慧，系統可以從更少的資料中學習，利用外部知識，並使用包括神經符號語言方法在內的技術，這些方法結合了神經和符號處理。第二個程式是一個分析人工智慧，重點是系統如何做出決策。第三是擴展AI，能夠持續適應，更好地監控和測試系統，以支援企業嚴格期望下的語言系統部署。
  • 2022 年 10 月，IBM 宣布與美國專利商標局 (USPTO) 合作，測試人工智慧驅動的智慧財產權 (IP) 分析工具，即帶有 Watson 演示系統的 IBM IP Advisor。該演示系統將透過 IBM Watson Discovery 技術對查詢進行自然語言處理，從而幫助客戶利用自己的術語存取有用的資訊，從而消除對特定單字和複雜程式的需求。

自然語言處理產業概述

自然語言處理市場競爭非常激烈，並由幾家一直試圖獲得更大佔有率的主要參與者組成。這些在市場上佔有顯著佔有率的主要參與者一直致力於擴大其在國外的客戶群。他們提供新的創新解決方案以及交易和合併，以增加市場佔有率和獲利能力。主要參與者包括谷歌公司和微軟公司。

2022 年 10 月，紅帽和 IBM 啟動了 Project Wisdom，該專案將自然語言處理 (NLP) 整合到開源 Ansible IT 營運自動化平台中。目標是讓更多缺乏使用 YAML 檔案實現 IT 操作自動化所需的聲明性程式設計技能的最終使用者和 IT 專業人員更容易實現 IT 自動化。

額外的好處：

  • Excel 格式的市場估算 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章：簡介

  • 研究假設和市場定義
  • 研究範圍

第 2 章：研究方法

第 3 章：執行摘要

第 4 章：市場動態

  • 市場概況
  • 產業價值鏈分析
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 消費者的議價能力
    • 新進入者的威脅
    • 競爭激烈程度
    • 替代產品的威脅
  • COVID-19 對市場的影響
  • 市場促進因素
    • 趨勢從以產品為中心轉向以客戶為中心的體驗
    • 工業物聯網 (IIoT) 對智慧型設備的需求不斷成長
  • 市場限制
    • 整個行業缺乏熟練的專業人才

第 5 章：市場區隔

  • 依部署
    • 本地部署
    • 雲
  • 依組織規模
    • 大型組織
    • 中小型組織
  • 依類型
    • 硬體
    • 軟體
    • 服務
  • 依加工類型
    • 文字
    • 語音/聲音
    • 影像
  • 依最終用戶產業
    • 教育
    • BFSI
    • 衛生保健
    • 資訊科技和電信
    • 零售
    • 製造業
    • 媒體和娛樂
    • 其他最終用戶產業
  • 依地理
    • 北美洲
    • 歐洲
    • 亞太
    • 拉丁美洲
    • 中東和非洲

第 6 章：競爭格局

  • 公司簡介
    • NVIDIA Corporation
    • Intel Corporation
    • Baidu Inc.
    • Qualcomm Incorporated
    • Texas Instrument
    • Google Inc.
    • Microsoft Corporation
    • SAS Institute Inc.
    • Verint System Inc.
    • Adobe Inc.

第 7 章：投資分析

第 8 章：市場的未來

簡介目錄
Product Code: 62339

The NLP Market size is estimated at USD 31.76 billion in 2024, and is expected to reach USD 92.99 billion by 2029, growing at a CAGR of 23.97% during the forecast period (2024-2029).

NLP - Market

Key Highlights

  • Over the past few years, deep learning architectures and algorithms have made impressive advances in image recognition and speech processing. The application of natural language processing (NLP) has made significant contributions, yielding state-of-the-art results for some complex NLP application tasks. NLP has witnessed considerable growth over the past few years, owing to the affordable, scalable, and computational power, increased digitization of data, and the merger of NLP with deep learning (DL) and machine learning (ML).
  • The increasing use of NLP in healthcare and call centers, rising demand for advanced text analytics, and growing machine-to-machine technology are the primary factors responsible for the market studied.
  • NLP is witnessing growth in healthcare centers, as many organizations use the technology to ingest and analyze massive amounts of patient data. Additionally, the growing use of the internet and connected devices, along with the enormous volume of patient data, is driving the growth of the market studied. Apart from this, the rapidly increasing data security issues, along with the minimal accessibility of NLP-based software among organizations, are hampering industry expansion.
  • During the pandemic, the market witnessed high growth in the healthcare sector. For instance, in response to the COVID-19 pandemic, the White House and a coalition of leading research groups prepared the COVID-19 Open Research Dataset (CORD-19). CORD-19 is a resource of over 200,000 scholarly articles, including over 100,000 with full text, about COVID-19, SARS-CoV-2, and related coronaviruses. This freely available dataset was provided to the global research community to apply recent advances in natural language processing and other AI techniques to generate new insights supporting the fight against this infectious disease.

Natural Language Processing Market Trends

Large Organizations Expected to Register Significant Growth

  • Large organizations are one of the primary drivers and investors in the NLP market. As these organizations were increasingly adopting deep learning and supervised and unsupervised machine learning technologies for various applications, the adoption of NLP is likely to increase. Cost and risk are some of the major factors driving the adoption of these technologies among large organizations.
  • Most large end-user organizations across various industries mainly utilize these technologies to enhance their internal and external operations. Moreover, the ROI of the technology is only sometimes in the monetary form; hence, most small organizations find it risky to invest.
  • Moreover, large-scale social media platforms also utilize text analytics and NLP technologies to monitor and track social media activities, such as political reviews and hate speeches. Platforms like Facebook and Twitter are managing published content with the help of these tools. The demand for information extraction product applications is also anticipated to increase due to the growing importance of web data for effective marketing and decision-making. Within the next few years, mobile chatbots are anticipated to revolutionize the marketing and commerce sectors.
  • In September 2022, Lexicala, a language content provider, introduced new multilingual lexical data solutions for the Language Technology sector and academic research. Domain categorization, text annotation, expert parallel corpora, morphology, and other premium cross-lingual resources are included in the solutions for natural language processing (NLP) applications.

North America to Witness the Highest Market Growth

  • According to RichRelevance, online shoppers in the United States are more inclined to use Google Assistant than other platforms. Additionally, the utilization of smart speakers to obtain results on diverse topics is gaining increasing popularity, which, in turn, is expected to compel companies to invest in the technology. This creates an immense opportunity for other application developers to target potential customers.
  • NLP may also enhance the customer experience programs with various added benefits, thereby attracting more consumers, which, in turn, is projected to have a positive impact on the market growth in the country. The growing innovations in the market studied by the global players based in the United States are bringing advancement into the NLP market and fueling the rate of product launches in the region.
  • For instance, IBM Research AI is exploring various applications of NLP for enterprise domains. For this, the company developed three programs, the first being advanced AI, where systems can learn from fewer amounts of data, leverage external knowledge, and use techniques that include neuro-symbolic approaches to language, which combine neural and symbolic processing. The second program is an analyzing AI, which focuses on how a system reaches a decision. The third is scaling AI, which enables continuous adaptation, and better monitoring and testing of systems, in order to support the deployment of language systems under the rigorous expectations of enterprises.
  • In October 2022, IBM announced a collaboration with the United States Patent and Trademark Office (USPTO) to test AI-driven intellectual property (IP) analysis tool, the IBM IP Advisor with Watson Demonstration System. The Demonstration System would assist customers in accessing useful information utilizing their own terminology by allowing natural language processing of queries with IBM Watson Discovery technology, eliminating the need for specific words and complex procedures.

Natural Language Processing Industry Overview

The Natural Language Processing Market is highly competitive and consists of several major players who have been trying to gain larger shares. These major players with prominent shares in the market have been focusing on expanding their customer base across foreign countries. They are providing new innovative solutions, along with deals and mergers, to increase their market shares and profitability. Key players include Google Inc. and Microsoft Corporation.

In October 2022, Red Hat and IBM launched Project Wisdom, a project to integrate natural language processing (NLP) into the open-source Ansible IT operations automation platform. The objective is to make IT automation more accessible to a larger spectrum of end users and IT professionals who lack the declarative programming skills required to automate IT operations using YAML files.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Bargaining Power of Suppliers
    • 4.3.2 Bargaining Power of Consumers
    • 4.3.3 Threat of New Entrants
    • 4.3.4 Intensity of Competitive Rivalry
    • 4.3.5 Threat of Substitute Products
  • 4.4 Impact of COVID-19 on the Market
  • 4.5 Market Drivers
    • 4.5.1 Shifting Trend from Product-centric to Customer-centric Experience
    • 4.5.2 Increasing Demand for Smart Devices Across Industrial Internet of Things (IIoT)
  • 4.6 Market Restraints
    • 4.6.1 Lack of Skilled Professionals Across the Industry

5 MARKET SEGMENTATION

  • 5.1 By Deployment
    • 5.1.1 On-premise
    • 5.1.2 Cloud
  • 5.2 By Organization Size
    • 5.2.1 Large Organizations
    • 5.2.2 Small and Medium Organizations
  • 5.3 By Type
    • 5.3.1 Hardware
    • 5.3.2 Software
    • 5.3.3 Services
  • 5.4 By Processing Type
    • 5.4.1 Text
    • 5.4.2 Speech/Voice
    • 5.4.3 Image
  • 5.5 By End-user Industry
    • 5.5.1 Education
    • 5.5.2 BFSI
    • 5.5.3 Healthcare
    • 5.5.4 IT and Telecom
    • 5.5.5 Retail
    • 5.5.6 Manufacturing
    • 5.5.7 Media and Entertainment
    • 5.5.8 Other End-User Industries
  • 5.6 By Geography
    • 5.6.1 North America
    • 5.6.2 Europe
    • 5.6.3 Asia-Pacific
    • 5.6.4 Latin America
    • 5.6.5 Middle-East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 NVIDIA Corporation
    • 6.1.2 Intel Corporation
    • 6.1.3 Baidu Inc.
    • 6.1.4 Qualcomm Incorporated
    • 6.1.5 Texas Instrument
    • 6.1.6 Google Inc.
    • 6.1.7 Microsoft Corporation
    • 6.1.8 SAS Institute Inc.
    • 6.1.9 Verint System Inc.
    • 6.1.10 Adobe Inc.

7 INVESTMENT ANALYSIS

8 FUTURE OF THE MARKET