자연어 생성(NLG) 시장 - 세계 및 지역별 분석 : 용도별, 산업별, 비즈니스 기능별, 구성요소별, 기술별, 전개 모델별, 조직 규모별, 지역별 - 분석 및 예측(2024-2034년)
Natural Language Generation (NLG) Market - A Global and Regional Analysis: Focus on Application, Industries, Business Function, Component, Technology, Deployment Model, Organization Size, and Region - Analysis and Forecast, 2024-2034
상품코드:1518219
리서치사:BIS Research
발행일:2024년 07월
페이지 정보:영문
라이선스 & 가격 (부가세 별도)
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한글목차
자연어 생성(NLG) 시장 규모는 다양한 시장 촉진요인에 힘입어 크게 성장하고 있습니다.
낙관적인 시나리오에서는 2024년 시장은 11억 8,000만 달러로 평가되며, 연평균 19.20% 성장하여 2034년에는 68억 6,000만 달러에 달할 것으로 예측됩니다.
주요 시장 통계
예측 기간
2024-2034년
2024년 평가
11억 8,000만 달러
2034년 전망
68억 6,000만 달러
CAGR
19.2%
이러한 성장의 주요 원동력은 고급 인공지능과 머신러닝 기술의 통합이 진행되고 있기 때문입니다. 이러한 기술은 NLG의 기능을 강화하여 데이터에서 직접 보다 정교하고 문맥에 맞는 텍스트 컨텐츠를 생성할 수 있게 해줍니다. 이러한 변화는 금융, 의료, 미디어 등 다양한 산업에서 컨텐츠 제작 자동화에 대한 수요가 증가하면서 더욱 가속화되고 있으며, 이는 프로세스 속도뿐만 아니라 비용 절감과 정확도 향상으로 이어지고 있습니다. 기업들이 자동화된 인사이트와 리포팅의 이점을 계속 인식함에 따라 NLG 솔루션의 도입이 가속화되고, 기업이 데이터에 접근하고 가치를 창출하는 방식을 재구성할 것으로 예상됩니다.
NLG 시장의 성장에 기여하는 또 다른 촉진요인은 개인화된 타깃 커뮤니케이션에 대한 요구가 증가하고 있다는 점입니다. 소비자들이 다양한 접점에서 맞춤형 경험을 원하고 있기 때문에 기업들은 NLG를 활용하여 맞춤형 컨텐츠를 대규모로 생성하고 있습니다. 이를 통해 기업은 개인의 취향과 행동에 공감할 수 있는 메시지를 전달하여 시청자를 보다 효과적으로 사로잡을 수 있습니다.
이 보고서는 세계 자연어 생성(NLG) 시장을 조사했으며, 시장 개요와 함께 용도별, 산업별, 비즈니스 기능별, 구성요소별, 기술별, 전개 모델별, 조직 규모별, 지역별 동향, 시장 진입 기업 개요 등의 정보를 제공합니다.
목차
주요 요약
제1장 시장 : 업계 전망
동향 : 현재 및 향후의 영향 평가
공급망 개요
R&D 리뷰
규제 상황
이해관계자 분석
주요 세계적 이벤트의 영향 분석
시장 역학 개요
제2장 자연어 생성(NLG) 시장(용도별)
용도 세분화
용도 개요
자연어 생성(NLG) 시장(용도별)
자연어 생성(NLG) 시장(업계별)
자연어 생성(NLG) 시장(비즈니스 기능별)
제3장 자연어 생성(NLG) 시장(제품별)
제품 세분화
제품 개요
자연어 생성(NLG) 시장(컴포넌트별)
자연어 생성(NLG) 시장(기술별)
자연어 생성(NLG) 시장(전개 모델별)
자연어 생성(NLG) 시장(조직 규모별)
제4장 자연어 생성(NLG) 시장(지역별)
자연어 생성(NLG) 시장(지역별)
북미
유럽
아시아태평양
기타 지역
제5장 기업 개요
향후 전망
지리적 평가
ARRIA NLG Limited
AWS
IBM
Narrative Science
Automated Insights
Narrativa
Yseop
Retresco
Artifical Solutions
Phrasee
AX Semantics
CoGen Tex
Phrasetech
NewsRx
Conversica
제6장 조사 방법
ksm
영문 목차
영문목차
Introduction to Global Natural Language Generation (NLG) Market
The natural language generation (NLG) market is undergoing significant growth, propelled by various key factors and market drivers. In an optimistic scenario, the market is evaluated at a valuation of $1.18 billion in 2024 and is projected to expand at a CAGR of 19.20% to reach $6.86 billion by 2034.
KEY MARKET STATISTICS
Forecast Period
2024 - 2034
2024 Evaluation
$1.18 Billion
2034 Forecast
$6.86 Billion
CAGR
19.2%
A primary driver for this growth is the increasing integration of advanced artificial intelligence and machine learning technologies. These technologies enhance the NLG capabilities, enabling the creation of more sophisticated, contextually aware textual content directly from data. This transformation is further fueled by the growing demand across various industries such as finance, healthcare, and media for automating content production, which not only speeds up the process but also reduces costs and improves accuracy. As companies continue to recognize the benefits of automated insights and report generation, the adoption of NLG solutions is expected to accelerate, reshaping how businesses interact with data and derive value from it.
Another driving factor contributing to the growth of the NLG market is the rising need for personalized and targeted communication. With consumers increasingly expecting tailored experiences across various touchpoints, businesses are leveraging NLG to generate customized content at scale. This enables companies to engage their audience more effectively, delivering messages that resonate with individual preferences and behaviors.
Furthermore, in terms of major leading companies driving innovation in the NLG space, stalwarts such as OpenAI, Arria NLG, and Narrative Science continue to push the boundaries of what's possible with automated content generation. These companies invest heavily in research and development to enhance the capabilities of NLG systems, making them more intuitive, adaptable, and capable of understanding nuanced contexts. Additionally, tech giants including Google, Microsoft, and IBM are integrating NLG functionalities into their broader suite of AI-powered services, democratizing access to advanced language generation capabilities for businesses of all sizes.
Overall, the NLG market's remarkable growth trajectory is propelled by a convergence of factors, including advancements in AI and machine learning technologies, increasing demand for automated content production across industries, the need for personalized communication, and the growing importance of extracting insights from big data. With leading companies driving innovation and adoption, NLG is poised to revolutionize how businesses interact with data and leverage the power of language to drive value and competitive advantage.
Market Segmentation:
Segmentation 1: by Application
Customer Experience Management
Fraud Detection and Anti-money Laundering
Risk and Compliance Management
Performance Management
Predictive Maintenance
Others
Segmentation 2: by Industries
Banking, Financial Services, and Insurance (BFSI)
Retail and eCommerce
Government and Defense
Healthcare and Life Sciences
Manufacturing
Energy and Utilities
Telecom and IT
Media and Entertainment
Others
Segmentation 3: by Business Function
Finance
Legal
Operations
HR
Marketing and Sales
Segmentation 4: by Component
Software
Services
Managed Services
Professional Services
Segmentation 5: by Technology
Rule-Based NLG
Statistical NLG
Hybrid NLG
Segmentation 6: by Deployment Model
On-Premises
Cloud
Segmentation 7: by Organization Size
Small and Medium-sized Enterprises (MSE)
Large Enterprises
Segmentation 8: by Region
North America
Europe
Asia-Pacific
Rest-of-the-World
How can this report add value to an organization?
Product/Innovation Strategy: The global natural language generation (NLG) market has been extensively segmented based on various categories, such as application, industries, business function, component, technology, deployment model, and organization size. This can help readers get a clear overview of which segments account for the largest share and which ones are well-positioned to grow in the coming years.
Competitive Strategy: A detailed competitive benchmarking of the players operating in the global natural language generation (NLG) market has been done to help the reader understand how players stack against each other, presenting a clear market landscape. Additionally, comprehensive competitive strategies such as partnerships, agreements, and collaborations will aid the reader in understanding the untapped revenue pockets in the market.
Key Market Players and Competition Synopsis
The companies that are profiled have been selected based on thorough secondary research, which includes analyzing company coverage, product portfolio, market penetration, and insights gathered from primary experts.
Some of the prominent companies in this market are:
ARRIA NLG Limited
Yseop
Narrative Science
IBM
AWS
Retresco
Conversica
Phrasetech
Key Questions Answered in this Report:
What are the main factors driving the demand for natural language generation (NLG) market?
What are the major patents filed by the companies active in the natural language generation (NLG) market?
Who are the key players in the natural language generation (NLG) market, and what are their respective market shares?
What partnerships or collaborations are prominent among stakeholders in the natural language generation (NLG) market?
What are the strategies adopted by the key companies to gain a competitive edge in natural language generation (NLG) market?
What is the futuristic outlook for the natural language generation (NLG) market in terms of growth potential?
What is the current estimation of the natural language generation (NLG) market and what growth trajectory is projected from 2024 to 2034?
Which application, and product segment is expected to lead the market over the forecast period (2024-2034)?
Which regions demonstrate the highest adoption rates for natural language generation (NLG) market, and what factors contribute to their leadership?
Table of Contents
Executive Summary
Scope and Definition
Market/Product Definition
Key Questions Answered
Analysis and Forecast Note
1. Markets: Industry Outlook
1.1 Trends: Current and Future Impact Assessment
1.2 Supply Chain Overview
1.2.1 Value Chain Analysis
1.2.2 Pricing Forecast
1.3 R&D Review
1.3.1 Patent Filing Trend by Country, by Company
1.4 Regulatory Landscape
1.5 Stakeholder Analysis
1.5.1 Use Case
1.5.2 End User and Buying Criteria
1.6 Impact Analysis for Key Global Events
1.7 Market Dynamics Overview
1.7.1 Market Drivers
1.7.2 Market Restraints
1.7.3 Market Opportunities
2. Natural Language Generation (NLG) Market (by Application)
2.1 Application Segmentation
2.2 Application Summary
2.3 Natural Language Generation (NLG) Market (by Application)
2.3.1 Customer Experience Management
2.3.2 Fraud Detection and Anti-money Laundering
2.3.3 Risk and Compliance Management
2.3.4 Performance Management
2.3.5 Predictive Maintenance
2.3.6 Others (Weather Forecasting and Forensics)
2.4 Natural Language Generation (NLG) Market (by Industries)
2.4.1 Banking, Financial Services, and Insurance (BFSI)
2.4.2 Retail and eCommerce
2.4.3 Government and Defense
2.4.4 Healthcare and Life Sciences
2.4.5 Manufacturing
2.4.6 Energy and Utilities
2.4.7 Telecom and IT
2.4.8 Media and Entertainment
2.4.9 Others (Research, Travel, Hospitality, and Real Estate)
2.5 Natural Language Generation (NLG) Market (by Business Function)
2.5.1 Finance
2.5.2 Legal
2.5.3 Operations
2.5.4 HR
2.5.5 Marketing and Sales
3. Natural Language Generation (NLG) Market (by Products)
3.1 Product Segmentation
3.2 Product Summary
3.3 Natural Language Generation (NLG) Market (by Component)
3.3.1 Software
3.3.2 Services
3.3.2.1 Managed Services
3.3.2.2 Professional Services
3.3.2.2.1 Consulting Services
3.3.2.2.2 Training and Support
3.4 Natural Language Generation (NLG) Market (by Technology)
3.4.1 Rule-Based NLG
3.4.2 Statistical NLG
3.4.3 Hybrid NLG
3.5 Natural Language Generation (NLG) Market (by Deployment Model)
3.5.1 On-Premises
3.5.2 Cloud
3.6 Natural Language Generation (NLG) Market (by Organization Size)
3.6.1 Small and Medium-sized Enterprises (MSE)
3.6.2 Large Enterprises
4. Natural Language Generation (NLG) Market (by Region)
4.1 Natural Language Generation (NLG) Market (by Region)
