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市场调查报告书

商品编码

1620556

自然语言理解市场机会、成长驱动因素、产业趋势分析与预测 2024 - 2032 年

Natural Language Understanding Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: 2024年10月18日 | 出版商:

Global Market Insights Inc. | 英文 175 Pages | 商品交期: 2-3个工作天内

价格

简介目录

2023 年，全球自然语言理解市场估值为 193 亿美元，预计 2024 年至 2032 年复合年增长率为 20.1%。这种增长主要是由人工智慧驱动的解决方案在各个领域的日益整合所推动，对改善客户体验的需求以及对高效资料分析的日益增长的需求。市场可以分为两个主要组成部分：解决方案和服务。 2023 年，解决方案领域的销售额将超过 160 亿美元。对聊天机器人、虚拟助理和文字分析工具等 NLU 增强型应用程式的需求激增是推动这一成长的关键因素。

这些复杂的解决方案利用深度学习和变压器模型等先进技术来有效分析和解释不同背景下的人类语言。透过提供意图识别、实体提取和情绪分析等功能，这些工具使组织能够自动化客户互动、增强决策流程并从非结构化文字资料中提取有价值的见解。部署模式是 NLU 市场的另一个重要方面，提供基于云端和本地的选项。预计 2024 年至 2032 年间，基于云端的细分市场的复合年增长率将超过 18%。

基于云端的部署具有多种优势，包括降低前期成本、无缝可扩展性以及无需大量基础设施投资即可存取高级 NLU 功能。这种灵活性使组织能够快速实施 NLU 技术，并随着创新的出现轻鬆更新它们。此外，基于云端的 NLU 与其他云端技术（例如资料分析和机器学习平台）的结合提高了其整体价值，使其成为各种规模企业的有吸引力的选择。北美在 NLU 市场处于领先地位，到 2023 年将占据超过 35% 的显着份额。

市场范围
开始年份	2023年
预测年份	2024-2032
起始值	193 亿美元
预测值	998 亿美元
复合年增长率	20.1%

大量的研发投资，加上人工智慧技术的早期采用，使美国成为自然语言处理创新领域的领导者。此外，各行业对改善客户体验和自动化业务流程的日益重视，正在加速 NLU 解决方案在全国范围内的采用。

产业生态系统分析
供应商格局
- 软体供应商
- 服务提供者
- 配销通路
- 最终用户
利润率分析
技术与创新格局
专利分析
案例研究
NLP、NLU、NLG 的比较分析
监管环境
衝击力
- 成长动力
  - 越来越多采用人工智慧驱动的解决方案
  - 对增强客户体验的需求不断增长
  - 对高效资料分析的需求不断增长
  - 机器学习和大型语言模型的进步
- 产业陷阱与挑战
  - 资料隐私和安全问题
  - 缺乏 NLU 技术熟练的专业人员
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

主要趋势
解决方案
- 软体
- 平台
服务
- 咨询服务
- 实施与整合
- 培训与支援

第 6 章：市场估计与预测：依部署模式，2021 - 2032 年

主要趋势
基于云端
本地

第 7 章：市场估计与预测：依组织规模，2021 - 2032 年

主要趋势
中小企业
大型企业

第 8 章：市场估计与预测：依技术分类，2021 - 2032

主要趋势
统计
基于规则的
杂交种

第 9 章：市场估计与预测：依应用分类，2021 - 2032

主要趋势
虚拟助理
客户体验管理
情绪分析
资讯撷取
问答系统
其他的

第 10 章：市场估计与预测：依最终用途，2021 - 2032 年

主要趋势
BFSI
卫生保健
零售与电子商务
电信
资讯科技与电信
汽车
政府
其他的

第 11 章：市场估计与预测：按地区，2021 - 2032

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 俄罗斯
- 北欧人
亚太地区
- 中国
- 印度
- 日本
- 澳洲
- 韩国
- 东南亚
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯

第 12 章：公司简介

Alibaba Cloud
Amazon Web Services
Apple
Baidu
Cerebras Systems
Cloudera
Cognitivescale
Google
Hugging Face
IBM
Infosys Limited
Meta Platforms (Facebook)
Microsoft Azure
Nuance Communications
OpenAI
Oracle
Salesforce
SAP SE
SAS Institute
Tata Consultancy Services

简介目录

Product Code: 11898

The Global Natural Language Understanding Market was valued at USD 19.3 billion in 2023 and is projected to grow at a CAGR of 20.1% from 2024 to 2032. This growth is largely driven by the increasing integration of AI-powered solutions across various sectors, a heightened demand for improved customer experiences, and a growing necessity for efficient data analysis. The market can be segmented into two main components: solutions and services. In 2023, the solutions segment accounted for over USD 16 billion. The surge in demand for NLU-enhanced applications, such as chatbots, virtual assistants, and text analytics tools, is a key factor contributing to this growth.

These sophisticated solutions utilize advanced technologies like deep learning and transformer models to effectively analyze and interpret human language in diverse contexts. By providing functionalities such as intent recognition, entity extraction, and sentiment analysis, these tools empower organizations to automate customer interactions, enhance decision-making processes, and extract valuable insights from unstructured text data. Deployment mode is another critical aspect of the NLU market, with cloud-based and on-premises options available. The cloud-based segment is expected to experience a CAGR of over 18% between 2024 and 2032. The rapid adoption of cloud computing, along with the increasing demand for scalable and flexible NLU solutions, is propelling this trend.

Cloud-based deployment offers multiple advantages, including reduced upfront costs, seamless scalability, and access to advanced NLU capabilities without substantial infrastructure investments. This flexibility allows organizations to implement NLU technologies quickly and update them easily as innovations emerge. Additionally, the incorporation of cloud-based NLU with other cloud technologies, such as data analytics and ML platforms, improves their overall value, making them an appealing choice for businesses of all sizes. North America leads the NLU market, capturing a significant share of over 35% in 2023. The region is experiencing notable growth, driven by the presence of major technology firms and a dynamic startup ecosystem.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$19.3 Billion
Forecast Value	$99.8 Billion
CAGR	20.1%

Substantial investments in research and development, combined with early adoption of AI technologies, have established the U.S. as a leader in NLU innovation. Furthermore, an increasing emphasis on improving customer experiences and automating business processes across various sectors is accelerating the adoption of NLU solutions throughout the country.

Chapter 1 Methodology & Scope

1.1 Research design
- 1.1.1 Research approach
- 1.1.2 Data collection methods
1.2 Base estimates & calculations
- 1.2.1 Base year calculation
- 1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
- 1.4.1 Primary sources
- 1.4.2 Data mining sources
1.5 Market scope & definition

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Software providers
- 3.2.2 Service providers
- 3.2.3 Distribution channel
- 3.2.4 End users
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Patent analysis
3.6 Case study
3.7 Comparative analysis of NLP, NLU, and NLG
3.8 Regulatory landscape
3.9 Impact forces
- 3.9.1 Growth drivers
  - 3.9.1.1 Increasing adoption of AI-powered solutions
  - 3.9.1.2 Growing demand for enhanced customer experience
  - 3.9.1.3 Rising need for efficient data analysis
  - 3.9.1.4 Advancements in machine learning and large language models
- 3.9.2 Industry pitfalls & challenges
  - 3.9.2.1 Data privacy and security concerns
  - 3.9.2.2 Lack of skilled professionals in NLU technologies
3.10 Growth potential analysis
3.11 Porter's analysis
3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Solution
- 5.2.1 Software
- 5.2.2 Platform
5.3 Service
- 5.3.1 Consulting services
- 5.3.2 Implementation & integration
- 5.3.3 Training & support

Chapter 6 Market Estimates & Forecast, By Deployment Mode, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 Cloud-based
6.3 On-premises

Chapter 7 Market Estimates & Forecast, By Organization Size, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 SME
7.3 Large enterprise

Chapter 8 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Statistical
8.3 Rule-based
8.4 Hybrid

Chapter 9 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

9.1 Key trends
9.2 Virtual assistants
9.3 Customer experience management
9.4 Sentiment analysis
9.5 Information extraction
9.6 Question answering systems
9.7 Others

Chapter 10 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

10.1 Key trends
10.2 BFSI
10.3 Healthcare
10.4 Retail & e-commerce
10.5 Telecommunications
10.6 IT & telecom
10.7 Automotive
10.8 Government
10.9 Others

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

11.1 Key trends
11.2 North America
- 11.2.1 U.S.
- 11.2.2 Canada
11.3 Europe
- 11.3.1 UK
- 11.3.2 Germany
- 11.3.3 France
- 11.3.4 Italy
- 11.3.5 Spain
- 11.3.6 Russia
- 11.3.7 Nordics
11.4 Asia Pacific
- 11.4.1 China
- 11.4.2 India
- 11.4.3 Japan
- 11.4.4 Australia
- 11.4.5 South Korea
- 11.4.6 Southeast Asia
11.5 Latin America
- 11.5.1 Brazil
- 11.5.2 Mexico
- 11.5.3 Argentina
11.6 MEA
- 11.6.1 UAE
- 11.6.2 South Africa
- 11.6.3 Saudi Arabia