자연 언어 이해(NLU) 시장 : 세계 산업 분석, 규모, 점유율, 성장, 동향, 예측(2024-2031년)

Persistence Market Research has recently released a comprehensive report on the worldwide market for Natural Language Understanding (NLU). The report offers a thorough assessment of crucial market dynamics, including drivers, trends, opportunities, and challenges, providing detailed insights into the market structure. This research publication presents exclusive data and statistics outlining the anticipated growth trajectory of the global NLU market from 2024 to 2031.

Key Insights: Natural Language Understanding (NLU) Market

• Market Size (2024E): US$ 13.7 Bn
• Projected Market Value (2031F): US$ 56.7 Bn
• Global Market Growth Rate (CAGR 2024 to 2031):22.5%

Natural Language Understanding (NLU) Market - Report Scope

Natural Language Understanding (NLU), a branch of artificial intelligence, enables machines to interpret and process human language in a meaningful way. It is integral to applications such as chatbots, voice assistants, sentiment analysis, and automated customer support systems. The NLU market caters to industries like healthcare, retail, BFSI, IT, and telecommunications, providing solutions for enhanced customer engagement, process automation, and data-driven decision-making.

Market growth is driven by increasing adoption of AI-based technologies, advancements in machine learning algorithms, and rising demand for personalized user experiences. The proliferation of IoT devices and the expansion of cloud computing further fuel the adoption of NLU solutions.

Market Growth Drivers

The global NLU market is propelled by several key factors, including the growing need for intelligent customer engagement and automation. Businesses across sectors are leveraging NLU to enhance service quality, reduce operational costs, and gain competitive advantages.

Advancements in deep learning and natural language processing (NLP) techniques have significantly improved the accuracy and efficiency of NLU systems, driving their adoption across various applications. Additionally, the rising popularity of voice-enabled technologies, such as virtual assistants and smart speakers, has expanded the scope of NLU solutions.

Market Restraints

Despite promising growth prospects, the NLU market faces challenges related to data privacy, high implementation costs, and linguistic diversity. Ensuring compliance with data protection regulations, such as GDPR and CCPA, imposes operational complexities for companies deploying NLU systems.

The lack of standardized linguistic datasets and the difficulty in processing low-resource languages pose barriers to NLU adoption in certain regions. Furthermore, the cost-intensive nature of developing and integrating NLU solutions may deter smaller enterprises from embracing these technologies.

Market Opportunities

The NLU market presents significant growth opportunities driven by the rise of multilingual AI, advancements in real-time language translation, and the integration of NLU with conversational AI platforms. The adoption of low-code/no-code platforms for building NLU models enables businesses to deploy customized solutions with minimal technical expertise.

Emerging applications in sectors such as healthcare, education, and entertainment are expanding the market's horizons. For instance, NLU-driven tools for medical transcription and sentiment analysis are gaining traction in healthcare. Strategic collaborations and investments in R&D will be critical for companies to capture market opportunities and sustain leadership.

Key Questions Answered in the Report

• What are the primary factors driving the growth of the NLU market globally?
• How are NLU technologies being adopted across different industries and applications?
• What role do technological advancements play in shaping the competitive landscape of the NLU market?
• Who are the leading players in the NLU market, and what strategies are they employing to maintain market relevance?
• What are the emerging trends and future prospects in the global NLU market?

Competitive Intelligence and Business Strategy

Leading players in the global NLU market, including IBM Corporation, Microsoft Corporation, Google LLC, and Amazon Web Services, focus on innovation and strategic partnerships to maintain their market positions. These companies are investing in advanced NLP models, cloud-based solutions, and domain-specific language understanding systems.

Collaborations with academic institutions and technology startups drive innovation and foster talent acquisition. Moreover, emphasis on scalability, cost-effectiveness, and user-friendly interfaces enables these players to cater to diverse customer needs across regions.

Key Companies Profiled

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc.
• Baidu, Inc.
• SAS Institute Inc.
• Salesforce.com, Inc.
• Nuance Communications, Inc.

Market Segmentation

By Offering

• Solutions
• Services

By Type

• Rule-Based
• Statistical
• Hybrid

By Application

• Chatbots and Virtual Assistants
• Sentiment Analysis
• Text Analysis
• Customer Experience Management (CXM)
• Data Capture

By End Use

• Retail and E-commerce
• Healthcare and Life Sciences
• BFSI
• IT and Telecommunications
• Media and Entertainment

By Region:

• North America
• Latin America
• Europe
• East Asia
• South Asia
• Oceania
• The Middle East Africa

Table of Contents

1. Executive Summary

• 1.1. Global Natural Language Understanding (NLU) Snapshot, 2024 - 2031
• 1.2. Market Opportunity Assessment, 2024 - 2031, US$ Bn
• 1.3. Key Market Trends
• 1.4. Future Market Projections
• 1.5. Premium Market Insights
• 1.6. Industry Developments and Key Market Events
• 1.7. PMR Analysis and Recommendations

2. Market Overview

• 2.1. Market Scope and Definition
• 2.2. Market Dynamics
  • 2.2.1. Drivers
  • 2.2.2. Restraints
  • 2.2.3. Opportunity
  • 2.2.4. Challenges
  • 2.2.5. Key Trends
• 2.3. Macro-Economic Factors
  • 2.3.1. Global Sectorial Outlook
  • 2.3.2. Global GDP Growth Outlook
  • 2.3.3. Other Macro-economic Factors
• 2.4. COVID-19 Impact Analysis
• 2.5. Forecast Factors - Relevance and Impact
• 2.6. Regulatory Landscape
• 2.7. Supply Chain Analysis
• 2.8. PESTLE Analysis
• 2.9. Porter's Five Force Analysis

3. Price Trend Analysis, 2019 - 2031

• 3.1. Key Highlights
• 3.2. Key Factors Impacting Product Prices
• 3.3. Pricing Analysis, By Offering
• 3.4. Regional Prices and Historical and Future Growth Trends

4. Global Natural Language Understanding (NLU) Outlook: Historical (2019 - 2023) and Forecast (2024 - 2031)

• 4.1. Key Highlights
• 4.2. Market Size (US$ Bn) Analysis and Forecast
  • 4.2.1. Historical Market Size (US$ Bn) Analysis, 2019 - 2023
  • 4.2.2. Current Market Size (US$ Bn) Analysis and Forecast, 2024 - 2031
• 4.3. Global Natural Language Understanding (NLU) Outlook: Offering
  • 4.3.1. Introduction / Key Findings
  • 4.3.2. Historical Market Size (US$ Bn) Analysis, By Offering, 2019 - 2023
  • 4.3.3. Current Market Size (US$ Bn) Analysis and Forecast, By Offering, 2024 - 2031
    • 4.3.3.1. Solutions
    • 4.3.3.2. Services
• 4.4. Market Attractiveness Analysis: Offering
• 4.5. Global Natural Language Understanding (NLU) Outlook: Type
  • 4.5.1. Introduction / Key Findings
  • 4.5.2. Historical Market Size (US$ Bn) Analysis, By Type, 2019 - 2023
  • 4.5.3. Current Market Size (US$ Bn) Analysis and Forecast, By Type, 2024 - 2031
    • 4.5.3.1. Rule-Based
    • 4.5.3.2. Statistical
    • 4.5.3.3. Hybrid
• 4.6. Market Attractiveness Analysis: Type
• 4.7. Global Natural Language Understanding (NLU) Outlook: Application
  • 4.7.1. Introduction / Key Findings
  • 4.7.2. Historical Market Size (US$ Bn) Analysis, By Application, 2019 - 2023
  • 4.7.3. Current Market Size (US$ Bn) Analysis and Forecast, By Application, 2024 - 2031
    • 4.7.3.1. Chatbots & Virtual Assistants
    • 4.7.3.2. Sentiment Analysis
    • 4.7.3.3. Text Analysis
    • 4.7.3.4. Customer Experience Management (CXM)
    • 4.7.3.5. Data Capture
    • 4.7.3.6. Others
• 4.8. Market Attractiveness Analysis: Application
• 4.9. Global Natural Language Understanding (NLU) Outlook: End-use
  • 4.9.1. Introduction / Key Findings
  • 4.9.2. Historical Market Size (US$ Bn) Analysis, By End-use, 2019 - 2023
  • 4.9.3. Current Market Size (US$ Bn) Analysis and Forecast, By End-use, 2024 - 2031
    • 4.9.3.1. Retail & E-commerce
    • 4.9.3.2. Healthcare & Life Sciences
    • 4.9.3.3. BFSI
    • 4.9.3.4. IT & Telecommunications
    • 4.9.3.5. Media & Entertainment
    • 4.9.3.6. Others
• 4.10. Market Attractiveness Analysis: End-use

5. Global Natural Language Understanding (NLU) Outlook: Region

• 5.1. Key Highlights
• 5.2. Historical Market Size (US$ Bn) Analysis, By Region, 2019 - 2023
• 5.3. Current Market Size (US$ Bn) Analysis and Forecast, By Region, 2024 - 2031
  • 5.3.1. North America
  • 5.3.2. Europe
  • 5.3.3. East Asia
  • 5.3.4. South Asia and Oceania
  • 5.3.5. Latin America
  • 5.3.6. Middle East & Africa
• 5.4. Market Attractiveness Analysis: Region

6. North America Natural Language Understanding (NLU) Outlook: Historical (2019 - 2023) and Forecast (2024 - 2031)

• 6.1. Key Highlights
• 6.2. Pricing Analysis
• 6.3. Historical Market Size (US$ Bn) Analysis, By Market, 2019 - 2023
  • 6.3.1. By Country
  • 6.3.2. By Offering
  • 6.3.3. By Type
  • 6.3.4. By Application
  • 6.3.5. By End-use
• 6.4. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 - 2031
  • 6.4.1. U.S.
  • 6.4.2. Canada
• 6.5. Current Market Size (US$ Bn) Analysis and Forecast, By Offering, 2024 - 2031
  • 6.5.1. Solutions
  • 6.5.2. Services
• 6.6. Current Market Size (US$ Bn) Analysis and Forecast, By Type, 2024 - 2031
  • 6.6.1. Rule-Based
  • 6.6.2. Statistical
  • 6.6.3. Hybrid
• 6.7. Current Market Size (US$ Bn) Analysis and Forecast, By Application, 2024 - 2031
  • 6.7.1. Chatbots & Virtual Assistants
  • 6.7.2. Sentiment Analysis
  • 6.7.3. Text Analysis
  • 6.7.4. Customer Experience Management (CXM)
  • 6.7.5. Data Capture
  • 6.7.6. Others
• 6.8. Current Market Size (US$ Bn) Analysis and Forecast, By End-use, 2024 - 2031
  • 6.8.1. Retail & E-commerce
  • 6.8.2. Healthcare & Life Sciences
  • 6.8.3. BFSI
  • 6.8.4. IT & Telecommunications
  • 6.8.5. Media & Entertainment
  • 6.8.6. Others
• 6.9. Market Attractiveness Analysis

7. Europe Natural Language Understanding (NLU) Outlook: Historical (2019 - 2023) and Forecast (2024 - 2031)

• 7.1. Key Highlights
• 7.2. Pricing Analysis
• 7.3. Historical Market Size (US$ Bn) Analysis, By Market, 2019 - 2023
  • 7.3.1. By Country
  • 7.3.2. By Offering
  • 7.3.3. By Type
  • 7.3.4. By Application
  • 7.3.5. By End-use
• 7.4. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 - 2031
  • 7.4.1. Germany
  • 7.4.2. France
  • 7.4.3. U.K.
  • 7.4.4. Italy
  • 7.4.5. Spain
  • 7.4.6. Russia
  • 7.4.7. Turkey
  • 7.4.8. Rest of Europe
• 7.5. Current Market Size (US$ Bn) Analysis and Forecast, By Offering, 2024 - 2031
  • 7.5.1. Solutions
  • 7.5.2. Services
• 7.6. Current Market Size (US$ Bn) Analysis and Forecast, By Type, 2024 - 2031
  • 7.6.1. Rule-Based
  • 7.6.2. Statistical
  • 7.6.3. Hybrid
• 7.7. Current Market Size (US$ Bn) Analysis and Forecast, By Application, 2024 - 2031
  • 7.7.1. Chatbots & Virtual Assistants
  • 7.7.2. Sentiment Analysis
  • 7.7.3. Text Analysis
  • 7.7.4. Customer Experience Management (CXM)
  • 7.7.5. Data Capture
  • 7.7.6. Others
• 7.8. Current Market Size (US$ Bn) Analysis and Forecast, By End-use, 2024 - 2031
  • 7.8.1. Retail & E-commerce
  • 7.8.2. Healthcare & Life Sciences
  • 7.8.3. BFSI
  • 7.8.4. IT & Telecommunications
  • 7.8.5. Media & Entertainment
  • 7.8.6. Others
• 7.9. Market Attractiveness Analysis

8. East Asia Natural Language Understanding (NLU) Outlook: Historical (2019 - 2023) and Forecast (2024 - 2031)

• 8.1. Key Highlights
• 8.2. Pricing Analysis
• 8.3. Historical Market Size (US$ Bn) Analysis, By Market, 2019 - 2023
  • 8.3.1. By Country
  • 8.3.2. By Offering
  • 8.3.3. By Type
  • 8.3.4. By Application
  • 8.3.5. By End-use
• 8.4. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 - 2031
  • 8.4.1. China
  • 8.4.2. Japan
  • 8.4.3. South Korea
• 8.5. Current Market Size (US$ Bn) Analysis and Forecast, By Offering, 2024 - 2031
  • 8.5.1. Solutions
  • 8.5.2. Services
• 8.6. Current Market Size (US$ Bn) Analysis and Forecast, By Type, 2024 - 2031
  • 8.6.1. Rule-Based
  • 8.6.2. Statistical
  • 8.6.3. Hybrid
• 8.7. Current Market Size (US$ Bn) Analysis and Forecast, By Application, 2024 - 2031
  • 8.7.1. Chatbots & Virtual Assistants
  • 8.7.2. Sentiment Analysis
  • 8.7.3. Text Analysis
  • 8.7.4. Customer Experience Management (CXM)
  • 8.7.5. Data Capture
  • 8.7.6. Others
• 8.8. Current Market Size (US$ Bn) Analysis and Forecast, By End-use, 2024 - 2031
  • 8.8.1. Retail & E-commerce
  • 8.8.2. Healthcare & Life Sciences
  • 8.8.3. BFSI
  • 8.8.4. IT & Telecommunications
  • 8.8.5. Media & Entertainment
  • 8.8.6. Others
• 8.9. Market Attractiveness Analysis

9. South Asia & Oceania Natural Language Understanding (NLU) Outlook: Historical (2019 - 2023) and Forecast (2024 - 2031)

• 9.1. Key Highlights
• 9.2. Pricing Analysis
• 9.3. Historical Market Size (US$ Bn) Analysis, By Market, 2019 - 2023
  • 9.3.1. By Country
  • 9.3.2. By Offering
  • 9.3.3. By Type
  • 9.3.4. By Application
  • 9.3.5. By End-use
• 9.4. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 - 2031
  • 9.4.1. India
  • 9.4.2. Southeast Asia
  • 9.4.3. ANZ
  • 9.4.4. Rest of South Asia & Oceania
• 9.5. Current Market Size (US$ Bn) Analysis and Forecast, By Offering, 2024 - 2031
  • 9.5.1. Solutions
  • 9.5.2. Services
• 9.6. Current Market Size (US$ Bn) Analysis and Forecast, By Type, 2024 - 2031
  • 9.6.1. Rule-Based
  • 9.6.2. Statistical
  • 9.6.3. Hybrid
• 9.7. Current Market Size (US$ Bn) Analysis and Forecast, By Application, 2024 - 2031
  • 9.7.1. Chatbots & Virtual Assistants
  • 9.7.2. Sentiment Analysis
  • 9.7.3. Text Analysis
  • 9.7.4. Customer Experience Management (CXM)
  • 9.7.5. Data Capture
  • 9.7.6. Others
• 9.8. Current Market Size (US$ Bn) Analysis and Forecast, By End-use, 2024 - 2031
  • 9.8.1. Retail & E-commerce
  • 9.8.2. Healthcare & Life Sciences
  • 9.8.3. BFSI
  • 9.8.4. IT & Telecommunications
  • 9.8.5. Media & Entertainment
  • 9.8.6. Others
• 9.9. Market Attractiveness Analysis

10. Latin America Natural Language Understanding (NLU) Outlook: Historical (2019 - 2023) and Forecast (2024 - 2031)

• 10.1. Key Highlights
• 10.2. Pricing Analysis
• 10.3. Historical Market Size (US$ Bn) Analysis, By Market, 2019 - 2023
  • 10.3.1. By Country
  • 10.3.2. By Offering
  • 10.3.3. By Type
  • 10.3.4. By Application
  • 10.3.5. By End-use
• 10.4. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 - 2031
  • 10.4.1. Brazil
  • 10.4.2. Mexico
  • 10.4.3. Rest of Latin America
• 10.5. Current Market Size (US$ Bn) Analysis and Forecast, By Offering, 2024 - 2031
  • 10.5.1. Solutions
  • 10.5.2. Services
• 10.6. Current Market Size (US$ Bn) Analysis and Forecast, By Type, 2024 - 2031
  • 10.6.1. Rule-Based
  • 10.6.2. Statistical
  • 10.6.3. Hybrid
• 10.7. Current Market Size (US$ Bn) Analysis and Forecast, By Application, 2024 - 2031
  • 10.7.1. Chatbots & Virtual Assistants
  • 10.7.2. Sentiment Analysis
  • 10.7.3. Text Analysis
  • 10.7.4. Customer Experience Management (CXM)
  • 10.7.5. Data Capture
  • 10.7.6. Others
• 10.8. Current Market Size (US$ Bn) Analysis and Forecast, By End-use, 2024 - 2031
  • 10.8.1. Retail & E-commerce
  • 10.8.2. Healthcare & Life Sciences
  • 10.8.3. BFSI
  • 10.8.4. IT & Telecommunications
  • 10.8.5. Media & Entertainment
  • 10.8.6. Others
• 10.9. Market Attractiveness Analysis

11. Middle East & Africa Natural Language Understanding (NLU) Outlook: Historical (2019 - 2023) and Forecast (2024 - 2031)

• 11.1. Key Highlights
• 11.2. Pricing Analysis
• 11.3. Historical Market Size (US$ Bn) Analysis, By Market, 2019 - 2023
  • 11.3.1. By Country
  • 11.3.2. By Offering
  • 11.3.3. By Type
  • 11.3.4. By Application
  • 11.3.5. By End-use
• 11.4. Current Market Size (US$ Bn) Analysis and Forecast, By Country, 2024 - 2031
  • 11.4.1. GCC Countries
  • 11.4.2. Egypt
  • 11.4.3. South Africa
  • 11.4.4. Northern Africa
  • 11.4.5. Rest of Middle East & Africa
• 11.5. Current Market Size (US$ Bn) Analysis and Forecast, By Offering, 2024 - 2031
  • 11.5.1. Solutions
  • 11.5.2. Services
• 11.6. Current Market Size (US$ Bn) Analysis and Forecast, By Type, 2024 - 2031
  • 11.6.1. Rule-Based
  • 11.6.2. Statistical
  • 11.6.3. Hybrid
• 11.7. Current Market Size (US$ Bn) Analysis and Forecast, By Application, 2024 - 2031
  • 11.7.1. Chatbots & Virtual Assistants
  • 11.7.2. Sentiment Analysis
  • 11.7.3. Text Analysis
  • 11.7.4. Customer Experience Management (CXM)
  • 11.7.5. Data Capture
  • 11.7.6. Others
• 11.8. Current Market Size (US$ Bn) Analysis and Forecast, By End-use, 2024 - 2031
  • 11.8.1. Retail & E-commerce
  • 11.8.2. Healthcare & Life Sciences
  • 11.8.3. BFSI
  • 11.8.4. IT & Telecommunications
  • 11.8.5. Media & Entertainment
  • 11.8.6. Others
• 11.9. Market Attractiveness Analysis

12. Competition Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. Market Structure
  • 12.2.1. Competition Intensity Mapping By Market
  • 12.2.2. Competition Dashboard
• 12.3. Company Profiles (Details - Overview, Financials, Strategy, Recent Developments)
  • 12.3.1. Google LLC
    • 12.3.1.1. Overview
    • 12.3.1.2. Segments and Products
    • 12.3.1.3. Key Financials
    • 12.3.1.4. Market Developments
    • 12.3.1.5. Market Strategy
  • 12.3.2. Microsoft Corporation
  • 12.3.3. International Business Machines Corporation
  • 12.3.4. Amazon.com, Inc.
  • 12.3.5. Salesforce, Inc.
  • 12.3.6. NVIDIA Corporation
  • 12.3.7. OpenAI
  • 12.3.8. SAP SE
  • 12.3.9. Nuance Communications
  • 12.3.10. Hugging Face, Inc.
  • 12.3.11. Oracle Corporation
  • 12.3.12. IQVIA
  • 12.3.13. Haptik
  • 12.3.14. LivePerson
  • 12.3.15. Expert.ai

13. Appendix

• 13.1. Research Methodology
• 13.2. Research Assumptions
• 13.3. Acronyms and Abbreviations