市場調査レポート

商品コード

1556006

自然言語理解の世界市場の評価：コンポーネント別、タイプ別、用途別、産業別、地域別、機会、予測、2017年～2031年

Natural Language Understanding Market Assessment, By Component, By Type, By Application, By Industry, By Region, Opportunities and Forecast, 2017-2031F

出版日: 2024年09月17日
発行: Markets & Data
ページ情報: 英文 236 Pages
納期: 3～5営業日

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概要
図表
目次

概要

サンプル依頼リストに入れる

世界の自然言語理解の市場規模は、予測期間の2024年～2031年に24.11%のCAGRで拡大し、2023年の279億9,000万米ドルから2031年には1,575億4,000万米ドルに成長すると予測されています。自然言語理解（NLU）市場は、人工知能の進歩により増加傾向にあります。AI業界の企業や組織は51の機械学習モデルを生み出し、学術機関は15のモデルを提供しました。AI産業と学術機関のパートナーシップは、両者の協力から生まれた注目すべきモデルで21位と過去最高を記録しました。Artificial Intelligence Index Report 2023によると、2023年に発表された基盤モデルは149件で、2022年に発表された数の2倍以上であり、このペースが加速していることを示しています。さらに、これらのモデルの65.7%がオープンソースであり、アクセシビリティとコラボレーションへのシフトを示しています。

米国は、2023年のトップAIモデルのうち61モデルを発表し、人工知能の世界的リーダーとしての地位を固めました。OpenAI Generative Pre-Trained Transformer 4（GPT-4）のような最先端のAIモデルに関連するトレーニングコストの上昇は、業界参入企業が他の潜在的なアプローチにインセンティブを与えられるにつれて、自然言語理解市場の大幅な拡大に貢献すると思われます。

顧客エンゲージメントの向上は、自然言語理解（NLU）市場の主要な促進要因です。AIを活用することで、チャットボットを通じて顧客からの問い合わせをより迅速かつ正確に処理できるようになるなど、銀行業務における顧客サービスのトレンドに顕著な成果が見られます。これらのチャットボットは、人間によるやり取りを減らし、効率性、満足度、信頼性を高めるように設計された技術革新を象徴しています。銀行業務におけるAIは、2030年までに640億3,000万米ドルに達すると予測されています。チャットボットだけで、約73億米ドルの業務削減が見込まれています。インスタントで高品質な応答への移行は、変容する消費者ニーズを反映し、より良い顧客体験のための自然言語理解ソリューションの重要性の高まりを強調し、市場の成長をさらに促進します。

当レポートでは、世界の自然言語理解市場について調査し、市場の概要とともに、コンポーネント別、タイプ別、用途別、産業別、地域別動向、および市場に参入する企業のプロファイルなどを提供しています。

List of Tables

Table 1. Pricing Analysis of Products from Key Players
Table 2. Competition Matrix of Top 5 Market Leaders
Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

Figure 1. Global Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 2. Global Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 3. Global Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 4. Global Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 5. Global Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 6. Global Natural Language Understanding Market Share (%), By Region, 2017-2031F
Figure 7. North America Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 8. North America Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 9. North America Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 10. North America Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 11. North America Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 12. North America Natural Language Understanding Market Share (%), By Country, 2017-2031F
Figure 13. United States Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 14. United States Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 15. United States Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 16. United States Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 17. United States Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 18. Canada Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 19. Canada Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 20. Canada Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 21. Canada Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 22. Canada Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 23. Mexico Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 24. Mexico Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 25. Mexico Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 26. Mexico Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 27. Mexico Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 28. Europe Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 29. Europe Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 30. Europe Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 31. Europe Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 32. Europe Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 33. Europe Natural Language Understanding Market Share (%), By Country, 2017-2031F
Figure 34. Germany Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 35. Germany Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 36. Germany Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 37. Germany Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 38. Germany Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 39. France Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 40. France Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 41. France Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 42. France Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 43. France Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 44. Italy Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 45. Italy Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 46. Italy Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 47. Italy Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 48. Italy Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 49. United Kingdom Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 50. United Kingdom Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 51. United Kingdom Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 52. United Kingdom Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 53. United Kingdom Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 54. Russia Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 55. Russia Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 56. Russia Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 57. Russia Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 58. Russia Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 59. Netherlands Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 60. Netherlands Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 61. Netherlands Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 62. Netherlands Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 63. Netherlands Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 64. Spain Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 65. Spain Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 66. Spain Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 67. Spain Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 68. Spain Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 69. Turkey Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 70. Turkey Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 71. Turkey Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 72. Turkey Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 73. Turkey Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 74. Poland Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 75. Poland Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 76. Poland Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 77. Poland Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 78. Poland Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 79. South America Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 80. South America Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 81. South America Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 82. South America Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 83. South America Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 84. South America Natural Language Understanding Market Share (%), By Country, 2017-2031F
Figure 85. Brazil Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 86. Brazil Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 87. Brazil Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 88. Brazil Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 89. Brazil Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 90. Argentina Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 91. Argentina Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 92. Argentina Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 93. Argentina Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 94. Argentina Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 95. Asia-Pacific Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 96. Asia-Pacific Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 97. Asia-Pacific Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 98. Asia-Pacific Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 99. Asia-Pacific Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 100. Asia-Pacific Natural Language Understanding Market Share (%), By Country, 2017-2031F
Figure 101. India Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 102. India Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 103. India Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 104. India Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 105. India Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 106. China Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 107. China Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 108. China Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 109. China Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 110. China Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 111. Japan Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 112. Japan Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 113. Japan Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 114. Japan Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 115. Japan Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 116. Australia Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 117. Australia Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 118. Australia Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 119. Australia Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 120. Australia Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 121. Vietnam Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 122. Vietnam Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 123. Vietnam Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 124. Vietnam Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 125. Vietnam Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 126. South Korea Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 127. South Korea Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 128. South Korea Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 129. South Korea Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 130. South Korea Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 131. Indonesia Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 132. Indonesia Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 133. Indonesia Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 134. Indonesia Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 135. Indonesia Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 136. Philippines Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 137. Philippines Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 138. Philippines Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 139. Philippines Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 140. Philippines Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 141. Middle East & Africa Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 142. Middle East & Africa Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 143. Middle East & Africa Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 144. Middle East & Africa Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 145. Middle East & Africa Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 146. Middle East & Africa Natural Language Understanding Market Share (%), By Country, 2017-2031F
Figure 147. Saudi Arabia Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 148. Saudi Arabia Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 149. Saudi Arabia Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 150. Saudi Arabia Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 151. Saudi Arabia Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 152. UAE Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 153. UAE Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 154. UAE Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 155. UAE Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 156. UAE Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 157. South Africa Natural Language Understanding Market, By Value, In USD Billion, 2017-2031F
Figure 158. South Africa Natural Language Understanding Market Share (%), By Component, 2017-2031F
Figure 159. South Africa Natural Language Understanding Market Share (%), By Type, 2017-2031F
Figure 160. South Africa Natural Language Understanding Market Share (%), By Application, 2017-2031F
Figure 161. South Africa Natural Language Understanding Market Share (%), By Industry, 2017-2031F
Figure 162. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2023
Figure 163. By Type Map-Market Size (USD Billion) & Growth Rate (%), 2023
Figure 164. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2023
Figure 165. By Industry Map-Market Size (USD Billion) & Growth Rate (%), 2023
Figure 166. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023

Product Code: MX11906

Global natural language understanding market is projected to witness a CAGR of 24.11% during the forecast period 2024-2031, growing from USD 27.99 billion in 2023 to USD 157.54 billion in 2031. The natural language understanding (NLU) market is on the rise owing to advancements in artificial intelligence. The companies and organizations in the AI industry produced 51 machine learning models, while academic institutions contributed 15 models. The partnership between the AI industry and academic institutions reached an all-time high at number 21 on notable models resulting from their collaboration. As per the Artificial Intelligence Index Report 2023, the release of 149 foundation models in 2023, which was more than double the number released in 2022, demonstrates this accelerating pace. In addition, 65.7% of those models were open source, indicating a shift towards accessibility and collaboration.

The United States solidified its position as a global leader in artificial intelligence with 61 of the top AI models in 2023, twice as many as those from both the European Union and China combined. Rising training costs associated with state-of-the-art AI models such as OpenAI Generative Pre-Trained Transformer 4 (GPT-4) will contribute to significant natural language understanding market expansion as the industry players are incentivized towards other potential approaches.

For instance, in March 2023, Nuance Communications, Inc., and Microsoft Corporation launched Dragon Ambient eXperience (DAX) Express, the first fully AI-automated clinical documentation application utilizing GPT-4, designed to reduce clinician paperwork and improve patient care.

Enhanced Customer Experience Drives the Natural Language Understanding Market

Enhanced customer engagement is a major growth driver in the natural language understanding (NLU) market. By using AI, remarkable results are witnessed in the trends of customer services in banking, such as AI being used to process customer inquiries faster and more accurately via chatbots. These chatbots represent technological innovations designed to reduce human interactions and increase efficiency, satisfaction, and reliability. AI in banking is projected to reach USD 64.03 billion by 2030. Chatbots alone are expected to save around USD 7.3 billion in business. The transition to instant, high-quality responses reflect the transforming consumer needs and underscores the rising significance of natural language understanding solutions for better customer experiences, further driving the market growth.

For example, in June 2024, IBM Corp. announced the general availability of its new watsonx Assistant for Z, a generative AI assistant designed to streamline mainframe management, along with enhancements to other watsonx assistants.

Conversational Artificial Intelligence Propels Market Growth

Conversational Artificial Intelligence (AI) is significantly boosting the growth of the NLU market. Companies worldwide spend USD 1.3 trillion on 265 billion customer service calls yearly, increasing the demand for efficient solutions. Conversational AI, like chatbots and virtual assistants, are transforming customer service by offering prompt, reliable answers with minimal human interaction, which represents more investments in natural language understanding solutions and can facilitate interactions and reduce costs. The growing demand among enterprises for more efficient operations and better customer experiences is helping to expand conversational AI, thereby promoting growth in the natural language understanding market.

For example, in September 2024, SAP SE introduced Joule, a generative AI copilot embedded in its cloud enterprise portfolio, designed to transform business operations with proactive, contextualized insights for improved outcomes.

Government Initiatives Acting as a Catalyst

Governments are helping to drive the growth of the natural language understanding (NLU) market with supportive initiatives. For instance, in the United States, the AI Initiative and the European Commission's AI Act provide important funding and set clear rules that encourage innovation in natural language understanding. China's AI development plan signals new progress in language technology. The United Kingdom's National AI Strategy supports research and partnerships. Furthermore, India's National Artificial Intelligence Mission and Canada's Digital Charter are making significant impacts by investing funds in AI research work to ensure responsible use. These efforts enable the rapid development and broad proliferation of natural language understanding technologies.

For example, in May 2023, the United States invested USD 140 million to establish seven new National AI Research Institutes. This funding aims to foster responsible AI innovation, enhance the country's AI research infrastructure, and support the growth of a diverse AI workforce.

Chatbots and Virtual Assistants Lead the Natural Language Understanding Market

The higher adoption of chatbots and virtual assistant services majorly influences the natural language understanding market. The chatbot market is expected to grow as businesses are using global chatbots to reduce customer complaints and respond at a faster pace than before. 90% of companies reported quicker complaint resolution using chatbots, according to the Massachusetts Institute of Technology (MIT) Technology. Therefore, chatbots entered mainstream messaging apps, such as WhatsApp and Facebook Messenger, fueled by the push for efficiency and personalization in customer interactions. The market is competitive, with established key players performing key innovations to stay ahead. For instance, in July 2024, Salesforce, Inc. announced its first fully autonomous AI agent, Einstein Service Agent, which resolves customer service cases using natural language and generative AI, enhancing efficiency and enabling 24/7 support.

North America Dominates the Natural Language Understanding Market

North America dominates the natural language understanding (NLU) market owing to a well-established technological infrastructure and substantial contributions towards artificial intelligence. The industry has the largest technology companies in the world, including Microsoft Corp., Alphabet Inc., and IBM Corp. These companies have dedicated a substantial volume of resources for research and development in this field, allowing them to design increasingly advanced natural language understanding models that other sectors, such as healthcare, finance, or retail, can simply adopt. Moreover, high concern for data privacy and security in the region has resulted in the increasing advancement of strong language processing solutions, making it more trustworthy and reliable, accelerating North America's natural language processing market throughout the forecast period.

For instance, in February 2024, Adobe Inc.'s new AI Assistant in Reader and Acrobat enhances NLU by providing summaries, answering questions, and formatting content from trillions of PDFs, utilizing advanced AI and machine learning technologies.

Future Market Scenario (2024-2031F)

Natural language understanding systems will be multilingual and work on multiple dialects, thereby enabling global connectivity.

Natural language understanding use cases will range from customer service to healthcare, finance, and education, making it more accessible and efficient.

Chatbots and virtual assistants will deliver increasingly personalized experiences, using more sophisticated natural language understanding to recognize user intent based on the preferences of a specific person.

Natural language understanding systems will develop a better emotional understanding, allowing for more empathetic and human-like interactions.

Key Players Landscape and Outlook

AI propels the natural language understanding market as most of the prominent companies are focusing on improving chatbot and virtual assistant functionality, automating customer service, or building more sophisticated algorithms for natural language processing. The potential of the market is enormous, with an increase in demand for customized customer experience and streamlined operations across industries. Businesses further plan for expansion as investment of funds will be channeled into research and development, which should, in turn, transform multilingual support and emotional intelligence. Furthermore, the proliferation of natural language understanding applications across healthcare and finance industries will continue to boost market prospects.

In August 2024, OpenAI, Inc. partnered with Conde Nast, a subsidiary of Advance Magazine Publishers, Inc., to enhance AI-driven news discovery. This collaboration will integrate content from Conde Nast's brands into ChatGPT and SearchGPT, improving search features and user experience.

Moreover, In June 2024, SAP SE allied with Mistral AI to upgrade its enterprise software with advanced large language models to unlock new opportunities and value for SAP customers in the AI era.

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

4.1. Product and Market Intelligence
4.2. Mode of Brand Awareness
4.3. Factors Considered in Purchase Decisions
- 4.3.1. Features and Other Value-Added Service
- 4.3.2. IT Infrastructure Compatibility
- 4.3.3. Efficiency of Solutions
- 4.3.4. After-Sales Support
4.4. Consideration of Privacy and Regulations

5. Global Natural Language Understanding Market Outlook, 2017-2031F

5.1. Market Size Analysis & Forecast
- 5.1.1. By Value
5.2. Market Share Analysis & Forecast
- 5.2.1. By Component
  - 5.2.1.1. Solutions
  - 5.2.1.2. Services
    - 5.2.1.2.1. Professional Services
    - 5.2.1.2.2. Managed Services
- 5.2.2. By Type
  - 5.2.2.1. Rule-Based
  - 5.2.2.2. Statistical
  - 5.2.2.3. Hybrid
- 5.2.3. By Application
  - 5.2.3.1. Chatbots and Virtual Assistants
  - 5.2.3.2. Text Analysis and Sentiment Analysis
  - 5.2.3.3. Content Analysis and Intent Recognition
  - 5.2.3.4. Customer Experience Management
  - 5.2.3.5. Data Capture
  - 5.2.3.6. Interactive Voice Response (IVR) and Message Routing
  - 5.2.3.7. Others
- 5.2.4. By Industry
  - 5.2.4.1. Banking, Financial Services and Insurance (BFSI)
  - 5.2.4.2. Media and Entertainment
  - 5.2.4.3. Retail and E-commerce
  - 5.2.4.4. IT and Telecom
  - 5.2.4.5. Healthcare
  - 5.2.4.6. Manufacturing
  - 5.2.4.7. Education
  - 5.2.4.8. Others
- 5.2.5. By Region
  - 5.2.5.1. North America
  - 5.2.5.2. Europe
  - 5.2.5.3. Asia-Pacific
  - 5.2.5.4. South America
  - 5.2.5.5. Middle East and Africa
- 5.2.6. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
5.3. Market Map Analysis, 2023
- 5.3.1. By Component
- 5.3.2. By Type
- 5.3.3. By Application
- 5.3.4. By Industry
- 5.3.5. By Region

6. North America Natural Language Understanding Market Outlook, 2017-2031F*

6.1. Market Size Analysis & Forecast
- 6.1.1. By Value
6.2. Market Share Analysis & Forecast
- 6.2.1. By Component
  - 6.2.1.1. Solutions
  - 6.2.1.2. Services
    - 6.2.1.2.1. Professional Services
    - 6.2.1.2.2. Managed Services
- 6.2.2. By Type
  - 6.2.2.1. Rule-Based
  - 6.2.2.2. Statistical
  - 6.2.2.3. Hybrid
- 6.2.3. By Application
  - 6.2.3.1. Chatbots and Virtual Assistants
  - 6.2.3.2. Text Analysis and Sentiment Analysis
  - 6.2.3.3. Content Analysis and Intent Recognition
  - 6.2.3.4. Customer Experience Management
  - 6.2.3.5. Data Capture
  - 6.2.3.6. Interactive Voice Response (IVR) and Message Routing
  - 6.2.3.7. Others
- 6.2.4. By Industry
  - 6.2.4.1. Banking, Financial Services and Insurance (BFSI)
  - 6.2.4.2. Media and Entertainment
  - 6.2.4.3. Retail and E-commerce
  - 6.2.4.4. IT and Telecom
  - 6.2.4.5. Healthcare
  - 6.2.4.6. Manufacturing
  - 6.2.4.7. Education
  - 6.2.4.8. Others
- 6.2.5. By Country Share
  - 6.2.5.1. United States
  - 6.2.5.2. Canada
  - 6.2.5.3. Mexico
6.3. Country Market Assessment
- 6.3.1. United States Natural Language Understanding Market Outlook, 2017-2031F*
  - 6.3.1.1. Market Size Analysis & Forecast
    - 6.3.1.1.1. By Value
  - 6.3.1.2. Market Share Analysis & Forecast
    - 6.3.1.2.1. By Component
      - 6.3.1.2.1.1. Solutions
      - 6.3.1.2.1.2. Services
      - 6.3.1.2.1.2.1. Professional Services
      - 6.3.1.2.1.2.2. Managed Services
    - 6.3.1.2.2. By Type
      - 6.3.1.2.2.1. Rule-Based
      - 6.3.1.2.2.2. Statistical
      - 6.3.1.2.2.3. Hybrid
    - 6.3.1.2.3. By Application
      - 6.3.1.2.3.1. Chatbots and Virtual Assistants
      - 6.3.1.2.3.2. Text Analysis and Sentiment Analysis
      - 6.3.1.2.3.3. Content Analysis and Intent Recognition
      - 6.3.1.2.3.4. Customer Experience Management
      - 6.3.1.2.3.5. Data Capture
      - 6.3.1.2.3.6. Interactive Voice Response (IVR) and Message Routing
      - 6.3.1.2.3.7. Others
    - 6.3.1.2.4. By Industry
      - 6.3.1.2.4.1. Banking, Financial Services and Insurance (BFSI)
      - 6.3.1.2.4.2. Media and Entertainment
      - 6.3.1.2.4.3. Retail and E-commerce
      - 6.3.1.2.4.4. IT and Telecom
      - 6.3.1.2.4.5. Healthcare
      - 6.3.1.2.4.6. Manufacturing
      - 6.3.1.2.4.7. Education
      - 6.3.1.2.4.8. Others
- 6.3.2. Canada
- 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Natural Language Understanding Market Outlook, 2017-2031F

7.1. Germany
7.2. France
7.3. Italy
7.4. United Kingdom
7.5. Russia
7.6. Netherlands
7.7. Spain
7.8. Turkey
7.9. Poland

8. Asia-Pacific Natural Language Understanding Market Outlook, 2017-2031F

8.1. India
8.2. China
8.3. Japan
8.4. Australia
8.5. Vietnam
8.6. South Korea
8.7. Indonesia
8.8. Philippines

9. South America Natural Language Understanding Market Outlook, 2017-2031F

9.1. Brazil
9.2. Argentina

10. Middle East and Africa Natural Language Understanding Market Outlook, 2017-2031F

10.1. Saudi Arabia
10.2. UAE
10.3. South Africa

11. Value Chain Analysis

12. Porter's Five Forces Analysis

13. PESTLE Analysis

14. Market Dynamics

14.1. Market Drivers
14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

17.1. Competition Matrix of Top 5 Market Leaders
17.2. SWOT Analysis for Top 5 Players
17.3. Key Players Landscape for Top 10 Market Players
- 17.3.1. Alphabet Inc.
  - 17.3.1.1. Company Details
  - 17.3.1.2. Key Management Personnel
  - 17.3.1.3. Products and Services
  - 17.3.1.4. Financials (As Reported)
  - 17.3.1.5. Key Market Focus and Geographical Presence
  - 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisitions
- 17.3.2. Amazon.com, Inc.
- 17.3.3. Apple Inc.
- 17.3.4. IBM Corp.
- 17.3.5. Meta Platforms, Inc.
- 17.3.6. Microsoft Corporation
- 17.3.7. Nuance Communications, Inc.
- 17.3.8. NVIDIA Corporation
- 17.3.9. OpenAI OpCo, LLC
- 17.3.10. SAP SE

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

自然言語理解の世界市場の評価：コンポーネント別、タイプ別、用途別、産業別、地域別、機会、予測、2017年～2031年

Natural Language Understanding Market Assessment, By Component, By Type, By Application, By Industry, By Region, Opportunities and Forecast, 2017-2031F

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界の自然言語理解市場の見通し、2017年～2031年

第6章 北米の自然言語理解市場の見通し、2017年～2031年

第7章 欧州の自然言語理解市場の見通し、2017年～2031年

第8章 アジア太平洋の自然言語理解市場の見通し、2017年～2031年

第9章 南米の自然言語理解市場の見通し、2017年～2031年

第10章 中東・アフリカの自然言語理解市場の見通し、2017年～2031年

第11章 バリューチェーン分析

第12章 ポーターのファイブフォース分析

第13章 PESTLE分析

第14章 市場力学

第15章 市場の動向と発展

第16章 ケーススタディ

第17章 競合情勢

第18章 戦略的提言

第19章 お問い合わせと免責事項

List of Tables

List of Figures

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

5. Global Natural Language Understanding Market Outlook, 2017-2031F

6. North America Natural Language Understanding Market Outlook, 2017-2031F*

7. Europe Natural Language Understanding Market Outlook, 2017-2031F

8. Asia-Pacific Natural Language Understanding Market Outlook, 2017-2031F

9. South America Natural Language Understanding Market Outlook, 2017-2031F

10. Middle East and Africa Natural Language Understanding Market Outlook, 2017-2031F

11. Value Chain Analysis

12. Porter's Five Forces Analysis

13. PESTLE Analysis

14. Market Dynamics

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

18. Strategic Recommendations

19. About Us and Disclaimer

第1章プロジェクトの範囲と定義

第2章調査手法

第3章エグゼクティブサマリー

第4章顧客の声

第5章世界の自然言語理解市場の見通し、2017年～2031年

第6章北米の自然言語理解市場の見通し、2017年～2031年

第7章欧州の自然言語理解市場の見通し、2017年～2031年

第8章アジア太平洋の自然言語理解市場の見通し、2017年～2031年

第9章南米の自然言語理解市場の見通し、2017年～2031年

第10章中東・アフリカの自然言語理解市場の見通し、2017年～2031年

第11章バリューチェーン分析

第12章ポーターのファイブフォース分析

第14章市場力学

第15章市場の動向と発展

第16章ケーススタディ

第17章競合情勢

第18章戦略的提言

第19章お問い合わせと免責事項