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세계의 자연어처리(NLP) 시장 보고서(2025년)
Natural Language Processing (NLP) Global Market Report 2025
상품코드 : 1676046
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

자자연어처리(NLP) 시장 규모는 향후 몇 년동안 비약적인 성장을 보일 것으로 예상되며, 2029년까지 연평균 성장률(CAGR) 31.3%로 1,144억 4,000만 달러에 달할 것으로 예상됩니다. 예측 기간 동안의 성장은 디지털 어시스턴트의 지속적인 성장, 비즈니스 인텔리전스 분야에서의 활용 확대, 다국어 NLP 솔루션, 규제 준수에 대한 집중에 기인합니다. 예측 기간의 주요 동향으로는 빅데이터 분석과의 통합, 크로스 채널 및 크로스 플랫폼 NLP, 프라이버시 및 윤리적 NLP에 대한 강조, 가상현실 및 증강현실과의 통합, 지속적 학습 및 적응형 NLP 모델 등이 있습니다.

스마트 기기 사용이 급증하면서 자연어처리(NLP) 시장 확대에 박차를 가하고 있습니다. 스마트 기기는 무선 모드를 통해 네트워크 및 다른 기기와 연결되는 것이 특징이며, NLP를 활용하여 사용자가 제공하는 음성 명령을 해석하고 분석하는 것이 특징입니다. 일례로, 온라인 데이터 및 통찰력 기관인 DataReportal은 사용 중인 스마트폰의 수가 매년 5.7%의 꾸준한 성장률을 보이고 있으며, 매일 평균 100만 대의 새로운 스마트폰이 추가되고 있다고 보고했습니다. 이러한 스마트 기기의 이용 추세는 향후 NLP 시장의 지속적인 성장을 위한 중요한 촉진제가 될 것으로 예상됩니다.

급성장하는 전자상거래 분야는 가까운 미래에 자자연어처리(NLP) 시장 성장의 중요한 촉진제가 될 것으로 보입니다. 상품과 서비스의 온라인 구매와 판매를 수반하는 전자상거래는 NLP 시장을 촉진하는 데 중요한 역할을 하고 있으며, NLP는 전자상거래 영역에서 광범위하게 적용되어 감정 분석, 고객 지원 챗봇, 개인화된 추천, 효율적인 상품 검색을 촉진하고 있습니다. 하고 있습니다. 이러한 NLP 기반 기능은 사용자 경험을 개선하고 원활한 상호 작용을 촉진하며 고객 만족도와 참여를 높이는 데 기여합니다. 2021년 10월 국제무역협회가 발표한 보고서에 따르면, 2024년까지 소비재 전자상거래는 전 세계 소매 매출의 약 22%를 차지할 것으로 예상되며, 평균 성장률은 1%를 상회하는 안정적인 성장세를 보일 것으로 전망됩니다. 또한, 소매 전자상거래 매출은 2024년까지 전 세계 소매 전자상거래 매출의 8%를 차지하며 장기적으로 꾸준한 증가세를 유지할 것으로 예상됩니다. 그 결과, 확대되는 전자상거래 분야는 자자연어처리(NLP) 시장의 성장 동력이 되고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, Covid와 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

제36장 부록

LSH
영문 목차

영문목차

Natural Language Processing (NLP) is an artificial intelligence field that empowers computers to comprehend and scrutinize human language. NLP enables computers, using artificial intelligence, to interpret real-world input and comprehend it in a manner akin to human understanding. Computers acquire information through microphones and programs.

NLP encompasses primary types such as text, speech/voice, and image processing. Text analytics, an artificial intelligence (AI) technique within NLP, transforms unstructured text in documents and databases into normalized, structured data, suitable for analysis or input to machine learning (ML) algorithms. NLP deployment options include on-premise, cloud, or a hybrid approach, with statistical components applicable in automatic summarization, sentiment analysis, risk, and threat detection. Various end-user sectors, including education, BFSI, healthcare, IT and telecom, retail, manufacturing, media and entertainment, among others, benefit from NLP applications.

The natural language processing (NLP) market research report is one of a series of new reports from The Business Research Company that provides natural language processing (NLP) market statistics, including natural language processing (NLP) industry global market size, regional shares, competitors with a natural language processing (NLP) market share, detailed natural language processing (NLP) market segments, market trends and opportunities, and any further data you may need to thrive in the natural language processing (NLP) industry. This natural language processing (NLP) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The natural language processing (NLP) market size has grown exponentially in recent years. It will grow from $30.45 billion in 2024 to $38.55 billion in 2025 at a compound annual growth rate (CAGR) of 26.6%. The growth in the historic period can be attributed to increasing volume of unstructured data, demand for advanced data analytics, enhanced customer experience, rise of social media and online content, healthcare information extraction.

The natural language processing (NLP) market size is expected to see exponential growth in the next few years. It will grow to $114.44 billion in 2029 at a compound annual growth rate (CAGR) of 31.3%. The growth in the forecast period can be attributed to continued growth in digital assistants, expanding use in business intelligence, multilingual NLP solutions, focus on regulatory compliance. Major trends in the forecast period include integration with big data analytics, cross-channel and cross-platform NLP, emphasis on privacy and ethical NLP, integration with virtual and augmented reality, continuous learning and adaptive NLP models.

The surge in the utilization of smart devices is fueling the expansion of the Natural Language Processing (NLP) market. Smart devices, characterized by their connection to networks or other devices through wireless modes, leverage NLP to interpret and analyze voice commands provided by users. As an illustration, DataReportal, an online data and insights agency, reports a consistent 5.7% annual growth rate in the number of smartphones in use, with an average addition of 1 million new smartphones daily. This upward trend in smart device usage is anticipated to be a significant driver for the continued growth of the NLP market in the future.

The burgeoning e-commerce sector is poised to be a significant driver for the growth of the Natural Language Processing (NLP) market in the foreseeable future. E-commerce, involving the online buying and selling of goods and services, is instrumental in propelling the NLP market forward. NLP finds extensive application in the e-commerce domain, facilitating sentiment analysis, customer support chatbots, personalized recommendations, and efficient product searches. These NLP-driven functionalities contribute to an enhanced user experience, fostering seamless interactions, and elevating customer satisfaction and engagement. Notably, a report from the International Trade Administration in October 2021 anticipates that e-commerce for consumer goods will represent approximately 22% of global retail sales by 2024, exhibiting a steady average growth rate exceeding 1%. Furthermore, retail e-commerce sales are expected to maintain a consistent long-term increase of 8% in the overall global retail e-commerce sales through 2024. Consequently, the expanding e-commerce sector stands as a driving force behind the growth of the Natural Language Processing (NLP) market.

Technological advancements have become a significant trend in the NLP market. Leading companies in this sector are upgrading and introducing advanced NLP software to drive market growth. For example, in March 2023, Kensho Technologies, a US-based artificial intelligence company, launched a new Natural Language Processing (NLP) solution called Kensho Classify. This innovative tool is designed to conceptually understand and classify documents, simplifying the process for users to extract insights from large volumes of text. The solution improves the discoverability of text and documents, facilitating more efficient analysis and streamlined research.

Leading enterprises in the natural language processing (NLP) market are actively pursuing advanced technologies, including NLP solutions, to broaden their customer base, boost sales, and augment overall revenue. NLP solutions, in this context, refer to technologies or systems designed to empower computers in understanding, interpreting, and generating human-such as language. A noteworthy example is Kensho Technologies Inc., a US-based artificial intelligence company, which introduced Kensho Classify in March 2023. Kensho Classify distinguishes itself as a robust solution adept at extracting value from extensive text and document datasets, elevating content discoverability, and facilitating sophisticated text analysis. Its distinctive features encompass intelligent search functionality, content recommendations, and efficient research and analysis tools. Whether employed by document platforms such as Virtual Data Rooms (VDRs) and Content Management Systems (CMSs) or by finance professionals seeking market signals within vast document repositories, Kensho Classify streamlines the process, ensuring that content becomes more organized, discoverable, and actionable.

In March 2022, Microsoft Corp., a technology company based in the United States, successfully acquired Nuance Communications Inc. for an undisclosed sum. This strategic acquisition positions Microsoft to contribute to the advancement of more efficient, cost-effective, and accessible healthcare solutions, as well as facilitate the creation of highly personalized customer experiences across various industries. Nuance Communications, a U.S.-based company specializing in ambient intelligence, natural language processing (NLP), and conversational artificial intelligence (AI), operates in diverse sectors such as financial services, healthcare, retail, and telecommunications. The integration of Nuance's expertise into Microsoft's portfolio enhances the capabilities of both entities, fostering innovation and addressing evolving needs in the technology landscape.

Major companies operating in the natural language processing (NLP) market include Google LLC, Microsoft Corporation, Alibaba Group, Dell Technologies Inc., Intel Corporation, The Hewlett-Packard Company, IBM, Cisco Systems Inc., NVIDIA Corp, Salesforce.com Inc., Toshiba Corporation, Baidu Research, Adobe Inc., SAS Institute Inc., OpenAI, Amazon.com Inc., Apple Inc., Meta Platforms Inc., NetBase Quid Inc., Observe.AI, Allen Institute for AI, Gnani Innovations Private Limited.

North America was the largest region in the NLP market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the natural language processing (nlp) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the natural language processing (nlp) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The natural language processing market includes revenues earned by entities by providing software tools that automate the processes for text summarization, text extraction, text classification, analyzing user language partners, and smart assistance using machine learning and artificial intelligence technology. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Natural Language Processing (NLP) Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on natural language processing (nlp) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for natural language processing (nlp) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The natural language processing (nlp) market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Natural Language Processing (NLP) Market Characteristics

3. Natural Language Processing (NLP) Market Trends And Strategies

4. Natural Language Processing (NLP) Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Natural Language Processing (NLP) Growth Analysis And Strategic Analysis Framework

6. Natural Language Processing (NLP) Market Segmentation

7. Natural Language Processing (NLP) Market Regional And Country Analysis

8. Asia-Pacific Natural Language Processing (NLP) Market

9. China Natural Language Processing (NLP) Market

10. India Natural Language Processing (NLP) Market

11. Japan Natural Language Processing (NLP) Market

12. Australia Natural Language Processing (NLP) Market

13. Indonesia Natural Language Processing (NLP) Market

14. South Korea Natural Language Processing (NLP) Market

15. Western Europe Natural Language Processing (NLP) Market

16. UK Natural Language Processing (NLP) Market

17. Germany Natural Language Processing (NLP) Market

18. France Natural Language Processing (NLP) Market

19. Italy Natural Language Processing (NLP) Market

20. Spain Natural Language Processing (NLP) Market

21. Eastern Europe Natural Language Processing (NLP) Market

22. Russia Natural Language Processing (NLP) Market

23. North America Natural Language Processing (NLP) Market

24. USA Natural Language Processing (NLP) Market

25. Canada Natural Language Processing (NLP) Market

26. South America Natural Language Processing (NLP) Market

27. Brazil Natural Language Processing (NLP) Market

28. Middle East Natural Language Processing (NLP) Market

29. Africa Natural Language Processing (NLP) Market

30. Natural Language Processing (NLP) Market Competitive Landscape And Company Profiles

31. Natural Language Processing (NLP) Market Other Major And Innovative Companies

32. Global Natural Language Processing (NLP) Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Natural Language Processing (NLP) Market

34. Recent Developments In The Natural Language Processing (NLP) Market

35. Natural Language Processing (NLP) Market High Potential Countries, Segments and Strategies

36. Appendix

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