자연언어처리 시장 : 유형별, 기술별, 산업별, 전개 형태별, 용도별 - 세계 예측(2025-2030년)

The Natural Language Processing Market was valued at USD 21.84 billion in 2023, expected to reach USD 25.49 billion in 2024, and is projected to grow at a CAGR of 17.13%, to USD 66.08 billion by 2030.

Natural Language Processing (NLP) is a field of artificial intelligence that enables machines to understand and interpret human language. Its scope extends from basic text analysis and grammar checking to complex applications like sentiment analysis, chatbots, and real-time translation. The necessity of NLP lies in the growing volume of unstructured data, which demands efficient tools for converting it into actionable insights, thereby benefiting numerous sectors such as healthcare, finance, customer service, and more. Applications of NLP range from voice-activated assistants and automated customer support to managing large datasets for predicting market trends. Key influencing growth factors include advancements in machine learning algorithms, increasing computational power, and the rising need for linguistically versatile AI systems. Current market insights signal potential opportunities in sectors like healthcare, where NLP can be used for predictive analytics in patient care, and finance, where real-time sentiment analysis can inform investment strategies. Given the shift towards digital transformation, integrating NLP into business models can significantly enhance customer experiences and operational efficiencies. However, limitations and challenges also exist, such as data privacy concerns, high implementation costs, and the complexity of language nuances that can lead to inaccuracies. Additionally, the ethical use of NLP technologies is a growing concern that could impact trust and regulatory acceptance. To navigate these challenges, there is a vast area for innovation and research in developing more sophisticated algorithms that increase accuracy and reliability while ensuring data privacy. Areas like emotion detection, contextual understanding, and multilingual processing present significant opportunities for business growth. Moving forward, businesses should focus on building cross-functional teams that combine expertise in linguistics, computer science, and data analytics to fully leverage the potential of NLP. The market is dynamic, with continuous emerging advancements, indicating an upward trajectory with balanced consideration of technological, ethical, and user-centric factors.

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

The Natural Language Processing 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
  • Increase Use of Smart Devices and Generated Massive Digital Data
  • Supportive Regulations and Adoption of Cloud-Based Solutions
  • Accelerating Demand from Financial Institutions Text Mining, Cross-Border Payments, and Foreign Exchange
• Market Restraints
  • Unreliability of NLP Algorithms and Increased Complications due to Use of Code-Mixed Language
• Market Opportunities
  • Growing Investment in Healthcare Industry to Implement NLP
  • Adoption of NLP-Based Applications to Improve Customer Service
  • Potential Application in IT & Telecom, Automotive, and Defense & Aerospace
• Market Challenges
  • Security Concerns and Conversation with Very Minimal Data

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

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Natural Language Processing 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 Processing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Natural Language Processing 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 Processing Market

A detailed market share analysis in the Natural Language Processing 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 Processing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Natural Language Processing 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.

Key Company Profiles

The report delves into recent significant developments in the Natural Language Processing Market, highlighting leading vendors and their innovative profiles. These include Intel Corporation, 3M Company, Meta Platforms, Inc., OpenText Corporation, Health Fidelity, Inc., SoundHound AI Inc., SparkCognition, Inc., MathWorks, Elise A.I. Technologies Corp., NetBase Quid, Bitext Innovations, S.L, Automated Insights, Inc., International Business Machines Corporation, Amazon Web Services, Inc., Apple, Inc., Rosoka Software, Inc., Fractal Analytics Inc., Google LLC by Alphabet Inc., Smartling, Inc., Inbenta Technologies Inc., Verint Systems Inc., Linguamatics Ltd., SAS Institute Inc., Alphasense Inc., ACCERN CORPORATION., Verbit, Inc., Microsoft Corporation, Dolbey Systems, Inc., Kensho Technologies, LLC, and Conversica, Inc..

Market Segmentation & Coverage

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

• Based on Type, market is studied across Hybrid, Rule-Based, and Statistical.
• Based on Technology, market is studied across Autocoding, Classification & Categorization, Interactive Voice Response, Optical Character Recognition, Pattern & Image Recognition, Speech Analytics, and Text Analytics.
• Based on Industry, market is studied across Automotive, BFSI, Government, Healthcare & Life Sciences, High-Tech & Electronics, Media & Entertainment, Research & Education, and Retail & Consumer Goods.
• Based on Deployment, market is studied across On-Cloud and On-Premise.
• Based on Application, market is studied across Information Extraction, Machine Translation, Question Answering, Report Generation, and Text Processing.
• 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. Increase Use of Smart Devices and Generated Massive Digital Data
    • 5.1.1.2. Supportive Regulations and Adoption of Cloud-Based Solutions
    • 5.1.1.3. Accelerating Demand from Financial Institutions Text Mining, Cross-Border Payments, and Foreign Exchange
  • 5.1.2. Restraints
    • 5.1.2.1. Unreliability of NLP Algorithms and Increased Complications due to Use of Code-Mixed Language
  • 5.1.3. Opportunities
    • 5.1.3.1. Growing Investment in Healthcare Industry to Implement NLP
    • 5.1.3.2. Adoption of NLP-Based Applications to Improve Customer Service
    • 5.1.3.3. Potential Application in IT & Telecom, Automotive, and Defense & Aerospace
  • 5.1.4. Challenges
    • 5.1.4.1. Security Concerns and Conversation with Very Minimal Data
• 5.2. Market Segmentation Analysis
  • 5.2.1. Type: Hybrid NLP offers a balanced approach by leveraging the strengths of both rule-based and statistical methodologies.
  • 5.2.2. Industry: Natural Language Processing (NLP) has experienced remarkable growth across Automotive, Healthcare & Life Sciences, High-Tech & Electronics, Media & Entertainment, Research & Education, and Retail & Consumer Goods.
  • 5.2.3. Deployment: On-Cloud NLP deployment has lower upfront costs than the On-Premise deployment

5.2.4. Application:

• 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
• 5.5. Client Customization

6. Natural Language Processing Market, by Type

• 6.1. Introduction
• 6.2. Hybrid
• 6.3. Rule-Based
• 6.4. Statistical

7. Natural Language Processing Market, by Technology

• 7.1. Introduction
• 7.2. Autocoding
• 7.3. Classification & Categorization
• 7.4. Interactive Voice Response
• 7.5. Optical Character Recognition
• 7.6. Pattern & Image Recognition
• 7.7. Speech Analytics
• 7.8. Text Analytics

8. Natural Language Processing Market, by Industry

• 8.1. Introduction
• 8.2. Automotive
• 8.3. BFSI
• 8.4. Government
• 8.5. Healthcare & Life Sciences
• 8.6. High-Tech & Electronics
• 8.7. Media & Entertainment
• 8.8. Research & Education
• 8.9. Retail & Consumer Goods

9. Natural Language Processing Market, by Deployment

• 9.1. Introduction
• 9.2. On-Cloud
• 9.3. On-Premise

10. Natural Language Processing Market, by Application

• 10.1. Introduction
• 10.2. Information Extraction
• 10.3. Machine Translation
• 10.4. Question Answering
• 10.5. Report Generation
• 10.6. Text Processing

11. Americas Natural Language Processing 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 Processing 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 Processing 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. NLP Startup NuMind Raises USD 3 in Seed Funding
  • 14.3.2. Kensho Technologies Launches a Natural Language Processing Solution that Conceptually Understands and Classifies Documents
  • 14.3.3. Sesamm bags USD 37 million to give corporates ESG insights using natural language processing

Companies Mentioned

• 1. Intel Corporation
• 2. 3M Company
• 3. Meta Platforms, Inc.
• 4. OpenText Corporation
• 5. Health Fidelity, Inc.
• 6. SoundHound AI Inc.
• 7. SparkCognition, Inc.
• 8. MathWorks
• 9. Elise A.I. Technologies Corp.
• 10. NetBase Quid
• 11. Bitext Innovations, S.L
• 12. Automated Insights, Inc.
• 13. International Business Machines Corporation
• 14. Amazon Web Services, Inc.
• 15. Apple, Inc.
• 16. Rosoka Software, Inc.
• 17. Fractal Analytics Inc.
• 18. Google LLC by Alphabet Inc.
• 19. Smartling, Inc.
• 20. Inbenta Technologies Inc.
• 21. Verint Systems Inc.
• 22. Linguamatics Ltd.
• 23. SAS Institute Inc.
• 24. Alphasense Inc.
• 25. ACCERN CORPORATION.
• 26. Verbit, Inc.
• 27. Microsoft Corporation
• 28. Dolbey Systems, Inc.
• 29. Kensho Technologies, LLC
• 30. Conversica, Inc.