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自然語言理解 (NLU) 市場預測至 2030 年：按類型、產品、部署模式、技術、應用、最終用戶和地區進行的全球分析

Natural Language Understanding (NLU) Market Forecasts to 2030 - Global Analysis by Type (Rule-Based, Statistical and Hybrid), Offering, Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球自然語言理解（NLU）市場預計在 2024 年達到 224 億美元，到 2030 年將達到 746 億美元，預測期內的複合年成長率為 22.2%。自然語言理解 (NLU) 是人工智慧 (AI) 和自然語言處理 (NLP) 的一個分支，旨在使機器人能夠以有意義的方式理解、解釋和回應人類語言。它透過理解語法、語義、上下文和意圖將語音和文字等非結構化語言輸入轉換為結構化資料。情緒分析、實體辨識、語言翻譯和意圖偵測都是透過 NLU 實現的任務。

人工智慧應用的採用率不斷提高

人工智慧應用程式的使用日益增多，推動了自然語言理解 (NLU) 市場的發展，增加了對虛擬助理、聊天機器人和語音介面等智慧系統的需求。為了提高用戶參與度和業務效率，這些應用程式依賴 NLU 來有效地讀取和回應人類語言。醫療保健、零售和金融等行業使用人工智慧產品實現自動化和客製化客戶互動，進一步推動了 NLU 的整合。

人類語言的複雜性

人類語言的複雜性導致難以正確捕捉不同的語言模式、慣用表達和上下文含義，從而阻礙了自然語言理解 (NLU) 市場的發展。 NLU 模型中的誤解和錯誤可能源自於語言、語調和俚語的變化。這種複雜性需要更大的資料、更複雜的演算法和持續的訓練，從而增加了開發成本並減緩了更廣泛行業對 NLU 技術的採用。

提高資料可用性

透過利用大量非結構化資料（例如文字、語音和社交媒體）來訓練和改進機器學習模型，不斷提高資料可用性正在推動自然語言理解 (NLU) 行業的發展。由於豐富的資料，NLU 系統可以更準確地理解上下文、含義和意圖。該公司正在利用這些資料來開發複雜的應用程式，如虛擬助理、聊天機器人和情緒分析工具。用戶生成內容的穩定成長正在推動 NLU 產業的創新和發展。

實施成本高

高進入成本，特別是對於中小企業而言，阻礙了該行業的發展。實施先進的人工智慧模型、將其整合到現有系統中以及與維護基礎設施相關的費用可能會高得令人望而卻步。這樣的預算障礙通常會阻礙 NLU 技術的廣泛採用，尤其是在預算受限的領域，這限制了其在資料分析和客戶服務自動化等領域的前景。

COVID-19 的影響

隨著企業轉向遠端營運和數位客戶支持，COVID-19 疫情加速了自然語言理解 (NLU) 技術的採用。對聊天機器人、虛擬助理和自動化服務的日益依賴導致對 NLU 解決方案的需求激增。此外，在醫療保健領域，NLU 用於患者互動和資料處理。這場疫情凸顯了對高效、可擴展的人工智慧解決方案的需求，從而刺激了 NLU 市場的成長。

預測期內自動編碼市場規模預計最大

由於部署 NLU 系統的速度加快以及開發複雜性降低，預計自動編碼部分將在預測期內佔據最大的市場佔有率。這將使語音助理、聊天機器人和情感分析系統等人工智慧產品的整合更加快捷。透過提高效率和可擴展性，自動編碼使公司更容易將 NLU 應用於醫療保健和客戶服務等各個行業，從而促進更廣泛的採用和市場擴展。

預測期內，統計部門預計以最高複合年成長率成長

預計統計部分將在預測期內實現最高成長。這些技術利用大型資料集來識別語言中的模式、機率和關係，為情緒分析、機器翻譯和意圖識別等 NLU 應用程式提供支援。隱馬可夫模型 (HMM) 和條件隨機場 (CRF) 等統計模型為理解複雜的語言結構提供了堅實的基礎。這種資料驅動的方法將加速創新，使 NLU 系統更加有效和可擴展，從而得到各行業的廣泛應用。

比最大的地區

由於醫療保健和客戶支援等行業擴大採用人工智慧解決方案，預計北美將在預測期內佔據最大的市場佔有率。先進的聊天機器人、虛擬助理和情緒分析技術對於提高消費者參與和業務效率變得越來越必要。該地區強大的技術基礎設施、對人工智慧研究的投資以及對自動化和機器學習創新的早期採用是推動北美 NLU 市場快速成長的進一步因素。

複合年成長率最高的地區

預計預測期內亞太地區將呈現最高的複合年成長率。這是因為客戶服務、醫療保健和金融等多個領域都需要基於人工智慧的解決方案。隨著雲端運算、巨量資料分析和機器學習的發展，NLU 功能正在不斷提高。聊天機器人、語音助理、自動化客戶支援服務的出現以及數位轉型支出的增加進一步促進了市場擴張。該地區 NLU 市場的擴張也是政府鼓勵人工智慧發展的計劃的結果。

提供免費客製化

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場參與企業（最多 3 家公司）進行全面分析
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球自然語言理解 (NLU) 市場按類型分類

  • 介紹
  • 基於規則
  • 統計數據
  • 混合

6. 全球自然語言理解 (NLU) 市場依產品分類

  • 介紹
  • 軟體
  • 服務

7. 全球自然語言理解 (NLU) 市場以部署模式分類

  • 介紹
  • 本地
  • 雲端基礎

8. 全球自然語言理解 (NLU) 市場（按技術分類）

  • 介紹
  • 互動式語音應答
  • 自動編碼
  • 文字分析
  • 語音分析
  • 影像和模式識別

9. 全球自然語言理解 (NLU) 市場（按應用）

  • 介紹
  • 客戶體驗管理
  • 虛擬助理/聊天機器人
  • 社群媒體監控
  • 情緒分析
  • 文字分類和摘要
  • 員工入職和招聘
  • 語言生成
  • 機器翻譯
  • 其他

第 10 章。

  • 介紹
  • IT 和 ITeS
  • 零售與電子商務
  • 醫療保健和生命科學
  • 運輸和物流
  • 政府和公共部門
  • 媒體和娛樂
  • 製造業
  • 通訊
  • 其他

第 11 章。

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司概況

  • OpenAI
  • Google Cloud AI
  • IBM Watson
  • Microsoft Azure Cognitive Services
  • Amazon Web Services（AWS）
  • Baidu Research
  • Facebook AI Research（FAIR）
  • Hugging Face
  • Appen
  • Cohere
  • Tractable
  • Primer
  • Eleos Health
  • PolyAI
  • Rasa Technologies ss
  • Upstage
  • Cognigy
  • Deepgram
  • Kustomer
Product Code: SMRC28542

According to Stratistics MRC, the Global Natural Language Understanding (NLU) Market is accounted for $22.4 billion in 2024 and is expected to reach $74.6 billion by 2030 growing at a CAGR of 22.2% during the forecast period. Natural Language Understanding (NLU) is an area of artificial intelligence (AI) and natural language processing (NLP) that aims to help robots understand, interpret, and respond to human language in meaningful ways. By comprehending syntax, semantics, context, and intent, it transforms unstructured language input-like voice or text-into structured data. Sentiment analysis, entity recognition, language translation, and intent detection are among the tasks made possible by NLU.

Market Dynamics:

Driver:

Growing Adoption of AI-Powered Applications

The increased usage of AI-powered applications is driving the Natural Language Understanding (NLU) market, increasing demand for intelligent systems such as virtual assistants, chatbots, and voice interfaces. In order to improve user engagement and operational efficiency, these apps rely on NLU to efficiently read and react to human language. NLU integration is further fueled by industries like healthcare, retail, and finance that use AI-powered products for automation and tailored client interactions.

Restraint:

Complexity of Human Language

The complexity of human language impedes the Natural Language Understanding (NLU) market by making it difficult to properly grasp various linguistic patterns, idiomatic idioms, and contextual meanings. Misunderstandings and mistakes in NLU models can result from variations in language, tone, and slang. Larger datasets, more complicated algorithms, and ongoing training are necessary for this complexity, which raises development costs and delays the broad industry adoption of NLU technology.

Opportunity:

Increased Data Availability

Increased data availability is driving the Natural Language Understanding (NLU) industry by supplying massive volumes of unstructured data, such as text, audio, and social media material, for training and improving machine learning models. NLU systems can comprehend context, semantics, and intent more accurately thanks to its abundance. Businesses use this data to create sophisticated apps such as virtual assistants, chatbots, and sentiment analysis tools. User-generated content's steady expansion encourages innovation and uptake in the NLU industry.

Threat:

High Implementation Costs

High implementation costs are impeding the growth of the industry, particularly for small and medium-sized organizations (SMEs). The expenditures associated with implementing sophisticated AI models, integrating them into existing systems, and maintaining infrastructure might be prohibitive. These budgetary obstacles frequently prevent NLU technology from being widely used, particularly in sectors with tight budgets, which limits its promise in fields like data analysis and customer service automation.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of Natural Language Understanding (NLU) technologies as businesses shifted to remote operations and digital customer support. Increased reliance on chatbots, virtual assistants, and automated services led to a surge in demand for NLU solutions. Moreover, the healthcare sector leveraged NLU for patient interaction and data processing. The pandemic highlighted the need for efficient, scalable AI solutions, driving growth in the NLU market.

The auto coding segment is expected to be the largest during the forecast period

The auto coding segment is expected to account for the largest market share during the forecast period because this speeds up the deployment of NLU systems and lowers the complexity of their development. It makes it possible to integrate AI-powered products like voice assistants, chatbots, and sentiment analysis systems more quickly. By increasing efficiency and scalability, auto coding makes it easier for companies to apply NLU in a variety of industries, such as healthcare, and customer service, which promotes wider acceptance and market expansion.

The statistical segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the statistical segment is predicted to witness the highest growth as these techniques leverage large datasets to identify patterns, probabilities, and relationships within language, enhancing NLU applications like sentiment analysis, machine translation, and intent recognition. Statistical models, such as Hidden Markov Models (HMM) and Conditional Random Fields (CRF), provide robust foundations for understanding complex linguistic structures. This data-driven approach accelerates innovation, making NLU systems more effective, scalable, and widely adopted across industries.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share because AI-powered solutions are increasingly being utilized in industries including healthcare, and customer support. Advanced chatbots, virtual assistants, and sentiment analysis technologies are becoming more necessary to increase consumer engagement and operational efficiency. The region's strong technological infrastructure, investments in AI research, and early adoption of automation and machine learning innovations are further factors contributing to North America's rapid growth in the NLU market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to the need for AI-powered solutions across a range of sectors, such as customer service, healthcare, and finance. NLU's capabilities are being improved by developments in cloud computing, big data analytics, and machine learning. Market expansion is further aided by the emergence of chatbots, voice assistants, and automated customer support services as well as rising expenditures in digital transformation. The growing NLU market in the area is also a result of government programs encouraging AI development.

Key players in the market

Some of the key players in Natural Language Understanding (NLU) market include OpenAI, Google Cloud AI, IBM Watson, Microsoft Azure Cognitive Services, Amazon Web Services (AWS), Baidu Research, Facebook AI Research (FAIR), Hugging Face, Appen, Cohere, Tractable, Primer, Eleos Health, PolyAI, Rasa Technologies, Upstage, Cognigy, Deepgram and Kustomer.

Key Developments:

In June 2023, IBM announced a new collaboration with will.i.am and FYI to leverage the transformative power of secure and trustworthy generative AI for creatives.

In May 2023, IBM has established a Center of Excellence for generative AI. It stands alongside IBM Consulting's existing global AI and Automation practice, which includes 21,000 data and AI consultants who have conducted over 40,000 enterprise client engagements.

In April 2021, IBM announced new capabilities for IBM Watson designed to help businesses build trustworthy AI. These capabilities further expand Watson tools designed to help businesses govern and explain AI-led decisions, increase insight accuracy, mitigate risks and meet their privacy and compliance requirements.

Types Covered:

  • Rule-Based
  • Statistical
  • Hybrid

Offerings Covered:

  • Software
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based

Technologies Covered:

  • Interactive Voice Response
  • Auto Coding
  • Text Analytics
  • Speech Analytics
  • Image & Pattern Recognition

Applications Covered:

  • Customer Experience Management
  • Virtual Assistants/Chatbots
  • Social Media Monitoring
  • Sentiment Analysis
  • Text Classification & Summarization
  • Employee Onboarding & Recruiting
  • Language Generation
  • Machine Translation
  • Other Applications

End Users Covered:

  • IT & ITeS
  • Retail & eCommerce
  • Healthcare and Life Sciences
  • Transportation and Logistics
  • Government and Public Sector
  • Media & Entertainment
  • Manufacturing
  • Telecom
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Natural Language Understanding (NLU) Market, By Type

  • 5.1 Introduction
  • 5.2 Rule-Based
  • 5.3 Statistical
  • 5.4 Hybrid

6 Global Natural Language Understanding (NLU) Market, By Offering

  • 6.1 Introduction
  • 6.2 Software
  • 6.3 Services

7 Global Natural Language Understanding (NLU) Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud-Based

8 Global Natural Language Understanding (NLU) Market, By Technology

  • 8.1 Introduction
  • 8.2 Interactive Voice Response
  • 8.3 Auto Coding
  • 8.4 Text Analytics
  • 8.5 Speech Analytics
  • 8.6 Image & Pattern Recognition

9 Global Natural Language Understanding (NLU) Market, By Application

  • 9.1 Introduction
  • 9.2 Customer Experience Management
  • 9.3 Virtual Assistants/Chatbots
  • 9.4 Social Media Monitoring
  • 9.5 Sentiment Analysis
  • 9.6 Text Classification & Summarization
  • 9.7 Employee Onboarding & Recruiting
  • 9.8 Language Generation
  • 9.9 Machine Translation
  • 9.10 Other Applications

10 Global Natural Language Understanding (NLU) Market, By End User

  • 10.1 Introduction
  • 10.2 IT & ITeS
  • 10.3 Retail & eCommerce
  • 10.4 Healthcare and Life Sciences
  • 10.5 Transportation and Logistics
  • 10.6 Government and Public Sector
  • 10.7 Media & Entertainment
  • 10.8 Manufacturing
  • 10.9 Telecom
  • 10.10 Other End Users

11 Global Natural Language Understanding (NLU) Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 OpenAI
  • 13.2 Google Cloud AI
  • 13.3 IBM Watson
  • 13.4 Microsoft Azure Cognitive Services
  • 13.5 Amazon Web Services (AWS)
  • 13.6 Baidu Research
  • 13.7 Facebook AI Research (FAIR)
  • 13.8 Hugging Face
  • 13.9 Appen
  • 13.10 Cohere
  • 13.11 Tractable
  • 13.12 Primer
  • 13.13 Eleos Health
  • 13.14 PolyAI
  • 13.15 Rasa Technologies ss
  • 13.16 Upstage
  • 13.17 Cognigy
  • 13.18 Deepgram
  • 13.19 Kustomer

List of Tables

  • Table 1 Global Natural Language Understanding (NLU) Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Natural Language Understanding (NLU) Market Outlook, By Type (2022-2030) ($MN)
  • Table 3 Global Natural Language Understanding (NLU) Market Outlook, By Rule-Based (2022-2030) ($MN)
  • Table 4 Global Natural Language Understanding (NLU) Market Outlook, By Statistical (2022-2030) ($MN)
  • Table 5 Global Natural Language Understanding (NLU) Market Outlook, By Hybrid (2022-2030) ($MN)
  • Table 6 Global Natural Language Understanding (NLU) Market Outlook, By Offering (2022-2030) ($MN)
  • Table 7 Global Natural Language Understanding (NLU) Market Outlook, By Software (2022-2030) ($MN)
  • Table 8 Global Natural Language Understanding (NLU) Market Outlook, By Services (2022-2030) ($MN)
  • Table 9 Global Natural Language Understanding (NLU) Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 10 Global Natural Language Understanding (NLU) Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 11 Global Natural Language Understanding (NLU) Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 12 Global Natural Language Understanding (NLU) Market Outlook, By Technology (2022-2030) ($MN)
  • Table 13 Global Natural Language Understanding (NLU) Market Outlook, By Interactive Voice Response (2022-2030) ($MN)
  • Table 14 Global Natural Language Understanding (NLU) Market Outlook, By Auto Coding (2022-2030) ($MN)
  • Table 15 Global Natural Language Understanding (NLU) Market Outlook, By Text Analytics (2022-2030) ($MN)
  • Table 16 Global Natural Language Understanding (NLU) Market Outlook, By Speech Analytics (2022-2030) ($MN)
  • Table 17 Global Natural Language Understanding (NLU) Market Outlook, By Image & Pattern Recognition (2022-2030) ($MN)
  • Table 18 Global Natural Language Understanding (NLU) Market Outlook, By Application (2022-2030) ($MN)
  • Table 19 Global Natural Language Understanding (NLU) Market Outlook, By Customer Experience Management (2022-2030) ($MN)
  • Table 20 Global Natural Language Understanding (NLU) Market Outlook, By Virtual Assistants/Chatbots (2022-2030) ($MN)
  • Table 21 Global Natural Language Understanding (NLU) Market Outlook, By Social Media Monitoring (2022-2030) ($MN)
  • Table 22 Global Natural Language Understanding (NLU) Market Outlook, By Sentiment Analysis (2022-2030) ($MN)
  • Table 23 Global Natural Language Understanding (NLU) Market Outlook, By Text Classification & Summarization (2022-2030) ($MN)
  • Table 24 Global Natural Language Understanding (NLU) Market Outlook, By Employee Onboarding & Recruiting (2022-2030) ($MN)
  • Table 25 Global Natural Language Understanding (NLU) Market Outlook, By Language Generation (2022-2030) ($MN)
  • Table 26 Global Natural Language Understanding (NLU) Market Outlook, By Machine Translation (2022-2030) ($MN)
  • Table 27 Global Natural Language Understanding (NLU) Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 28 Global Natural Language Understanding (NLU) Market Outlook, By End User (2022-2030) ($MN)
  • Table 29 Global Natural Language Understanding (NLU) Market Outlook, By IT & ITeS (2022-2030) ($MN)
  • Table 30 Global Natural Language Understanding (NLU) Market Outlook, By Retail & eCommerce (2022-2030) ($MN)
  • Table 31 Global Natural Language Understanding (NLU) Market Outlook, By Healthcare and Life Sciences (2022-2030) ($MN)
  • Table 32 Global Natural Language Understanding (NLU) Market Outlook, By Transportation and Logistics (2022-2030) ($MN)
  • Table 33 Global Natural Language Understanding (NLU) Market Outlook, By Government and Public Sector (2022-2030) ($MN)
  • Table 34 Global Natural Language Understanding (NLU) Market Outlook, By Media & Entertainment (2022-2030) ($MN)
  • Table 35 Global Natural Language Understanding (NLU) Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 36 Global Natural Language Understanding (NLU) Market Outlook, By Telecom (2022-2030) ($MN)
  • Table 37 Global Natural Language Understanding (NLU) Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.