자연 언어 이해 시장 : 컴포넌트별, 도입 모드별, 기업 규모별, 용도별, 최종사용자별 - 세계 예측(2025-2030년)

The Natural Language Understanding Market was valued at USD 1.86 billion in 2023, expected to reach USD 2.34 billion in 2024, and is projected to grow at a CAGR of 26.98%, to USD 9.93 billion by 2030.

Natural Language Understanding (NLU) is an essential subset of artificial intelligence that focuses on the interaction between computers and humans through natural language. Its scope involves facilitating more intuitive user interfaces, enhancing machine learning models, and improving information retrieval systems. The necessity of NLU stems from its ability to transform data from unstructured text into meaningful insights, which is crucial for businesses seeking competitive advantages through data-driven decision-making. Its applications are vast, ranging from virtual assistants and chatbots to sentiment analysis and automated customer service, providing seamless interactions that enhance user experiences. The end-use scope of NLU spans various industries, including healthcare, finance, e-commerce, and automotive, driving innovation in how these sectors manage and interpret language data. Market growth is influenced by advancements in technologies such as deep learning, which have enhanced the accuracy and efficiency of NLU models. Furthermore, the rising demand for personalizing customer experiences and the escalating adoption of smart devices contribute to greater investments in NLU technologies. Potential opportunities include expanding NLU solutions to support under-represented languages and dialects, tapping into markets with less English language predominance. However, limitations such as data privacy concerns and the complexity of understanding context and ambiguity in natural language present challenges. To mitigate these, continued research into improving contextual comprehension and developing robust data protection measures is crucial. Areas ripe for innovation encompass the development of context-aware systems and cross-linguistic NLU models that allow for more inclusive and diverse communication pipelines. The nature of the market is dynamic, with startups and established tech companies continually launching innovative applications, making agility and integration capabilities key for businesses looking to harness NLU for growth. To capitalize on this evolving sector, businesses should focus on collaboration with academic institutions for research undertakings and prioritize the ethical use of NLU technologies.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Natural Language Understanding Market

The Natural Language Understanding Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Surge in digital communications and a need for understanding critical information
  • Increased focus on customer service automation across the world
  • Exponential increase in data generation in business settings
• Market Restraints
  • Complexities in deploying natural language understanding algorithms and the need for skilled technical personnel
• Market Opportunities
  • Ongoing improvements in machine learning and AI technologies to make NLU systems more effective and efficient
  • Integration of NLU systems with voice-activated assistants
• Market Challenges
  • Privacy and data security concerns of NLU

Porter's Five Forces: A Strategic Tool for Navigating the Natural Language Understanding Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Natural Language Understanding Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Natural Language Understanding Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Natural Language Understanding Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Natural Language Understanding Market

A detailed market share analysis in the Natural Language Understanding Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Natural Language Understanding Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Natural Language Understanding Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Natural Language Understanding Market

A strategic analysis of the Natural Language Understanding Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Natural Language Understanding Market, highlighting leading vendors and their innovative profiles. These include Adobe Inc., Amazon Web Services, Inc., Amelia US LLC, Apple Inc., Baidu, Inc., ExpertAi SpA, Google LLC, H2O.ai, Inc., IBM Corporation, Inbenta Holdings Inc, Kore.ai, Inc., Lexalytics, Inc. by InMoment, Inc., Lilt, Inc., MaestroQA, Meta Platforms, Inc., Microsoft Corporation, OpenAI Inc., Oracle Corporation, Qualtrics, LLC, Rasa Technologies Inc., Salesforce, Inc., SAP SE, SoundHound AI, Inc., Tencent Holdings Limited, Twilio Inc., and Veritone, Inc..

Market Segmentation & Coverage

This research report categorizes the Natural Language Understanding Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Services and Software. The Services is further studied across Integration & Deployment, Support & Maintenance, and Training & Consulting. The Software is further studied across Platforms and Tools.
• Based on Deployment Mode, market is studied across Cloud-Based and On-Premises.
• Based on Enterprise Size, market is studied across Large Enterprises and Small and Medium-Sized Enterprises.
• Based on Application, market is studied across Chatbots & Virtual Assistants, Interactive Voice Response (IVR) Systems, Language Translation, Sentiment Analysis, Speech Recognition, and Text Analysis.
• Based on End-User, market is studied across Banking, Financial Services, & Insurance (BFSI), Education, Government & Public Sector, Healthcare & Life Sciences, IT & Telecom, Media & Entertainment, Retail & E-Commerce, and Travel & Hospitality.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Surge in digital communications and a need for understanding critical information
    • 5.1.1.2. Increased focus on customer service automation across the world
    • 5.1.1.3. Exponential increase in data generation in business settings
  • 5.1.2. Restraints
    • 5.1.2.1. Complexities in deploying natural language understanding algorithms and the need for skilled technical personnel
  • 5.1.3. Opportunities
    • 5.1.3.1. Ongoing improvements in machine learning and AI technologies to make NLU systems more effective and efficient
    • 5.1.3.2. Integration of NLU systems with voice-activated assistants
  • 5.1.4. Challenges
    • 5.1.4.1. Privacy and data security concerns of NLU
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Ongoing innovations in software components to enable enhanced user features and functionalities
  • 5.2.2. End-User: Rapid adoption of NLU solutions to analyze communication patterns for the detection of fraudulent activities
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Natural Language Understanding Market, by Component

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Integration & Deployment
  • 6.2.2. Support & Maintenance
  • 6.2.3. Training & Consulting
• 6.3. Software
  • 6.3.1. Platforms
  • 6.3.2. Tools

7. Natural Language Understanding Market, by Deployment Mode

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

8. Natural Language Understanding Market, by Enterprise Size

• 8.1. Introduction
• 8.2. Large Enterprises
• 8.3. Small and Medium-Sized Enterprises

9. Natural Language Understanding Market, by Application

• 9.1. Introduction
• 9.2. Chatbots & Virtual Assistants
• 9.3. Interactive Voice Response (IVR) Systems
• 9.4. Language Translation
• 9.5. Sentiment Analysis
• 9.6. Speech Recognition
• 9.7. Text Analysis

10. Natural Language Understanding Market, by End-User

• 10.1. Introduction
• 10.2. Banking, Financial Services, & Insurance (BFSI)
• 10.3. Education
• 10.4. Government & Public Sector
• 10.5. Healthcare & Life Sciences
• 10.6. IT & Telecom
• 10.7. Media & Entertainment
• 10.8. Retail & E-Commerce
• 10.9. Travel & Hospitality

11. Americas Natural Language Understanding Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Natural Language Understanding Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Natural Language Understanding Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
  • 14.3.1. DGTAL Launches GRABBER: AI Tool Streamlines Document Processing and Enhances Business Efficiency
  • 14.3.2. MicroStrategy Launches AI-Powered Product to Advance Data Analysis and Foster Data-Driven Cultures in Organizations
  • 14.3.3. Kensho Technologies Launches Kensho Classify: A New Tool to Simplify Text Analysis and Enhance Content Discoverability for Various Professional Sectors
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Adobe Inc.
• 2. Amazon Web Services, Inc.
• 3. Amelia US LLC
• 4. Apple Inc.
• 5. Baidu, Inc.
• 6. ExpertAi SpA
• 7. Google LLC
• 8. H2O.ai, Inc.
• 9. IBM Corporation
• 10. Inbenta Holdings Inc
• 11. Kore.ai, Inc.
• 12. Lexalytics, Inc. by InMoment, Inc.
• 13. Lilt, Inc.
• 14. MaestroQA
• 15. Meta Platforms, Inc.
• 16. Microsoft Corporation
• 17. OpenAI Inc.
• 18. Oracle Corporation
• 19. Qualtrics, LLC
• 20. Rasa Technologies Inc.
• 21. Salesforce, Inc.
• 22. SAP SE
• 23. SoundHound AI, Inc.
• 24. Tencent Holdings Limited
• 25. Twilio Inc.
• 26. Veritone, Inc.