Artificial Intelligence (AI)-Powered Document Translation Quality Global Market Report 2025
상품코드:1872775
리서치사:The Business Research Company
발행일:On Demand Report
페이지 정보:영문 250 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
AI 문서 번역 품질 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 21억 7,000만 달러로 평가되었고, 2025년에는 26억 6,000만 달러, CAGR 22.6%로 성장할 전망입니다. 지금까지의 성장은 규제 준수 요건, 비즈니스의 세계화, 신경 기계 번역의 조기 도입, 자연언어 처리 기술의 진보, 법무·의료 분야에서 수요 증가에 의해 견인되어 왔습니다.
AI 문서 번역 품질 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 59억 5,000만 달러에 달하고, CAGR은 22.2%를 나타낼 전망입니다. 예측기간의 성장은 증강현실(AR) 및 가상현실(VR) 플랫폼과의 통합, 음성에서 텍스트로의 번역 기능의 확장, 국경을 넘은 e러닝 플랫폼에서의 이용 증가, 업계 특화형 AI 번역 모델의 개발, 고객 서비스 자동화 분야에서의 채택 확대에 의해 초래될 것으로 전망됩니다. 예측 기간의 주요 동향은 번역 출력의 개인화, 컨텐츠 보안을 위한 블록체인 통합, 멀티모달 번역 시스템의 출현, 인간 번역자와 AI의 협동, 저자원 언어 번역 모델의 성장을 포함합니다.
디지털 인프라에 대한 투자 증가는 AI 문서 번역 품질 시장의 성장을 지원할 것으로 예측됩니다. 이러한 투자에는 현대적인 연결성과 데이터 처리를 가능하게 하는 디지털 네트워크, 데이터센터 및 관련 기술의 개발 및 확장을 위한 자금적 헌신이 포함됩니다. 디지털 인프라 지출 증가는 조직이 원격 업무, 클라우드 서비스, 첨단 기술을 지원하는 견고한 기술 기반 구축을 목표로 하는 진행 중인 디지털 전환에 의해 추진되고 있습니다. 디지털 인프라 개선은 AI가 복잡한 문서 번역 작업을 보다 정확하고 효율적으로 처리하는 데 필요한 시스템의 용량과 신뢰성을 향상시킵니다. 예를 들어, 2024년 7월에 영국 국가 통계국이 발표한 바에 따르면, 2022년 시장 부문의 디지털 인프라 투자액은 125억 4,000만 달러에 이르렀고, 2021년 대비 22.9% 증가를 보였습니다. 이러한 투자의 확대는 AI 문서 번역 품질 시장의 성장에 기여하고 있습니다.
AI 문서 번역 품질 시장의 기업은 운영 비용 절감과 업계 횡단적인 보급 촉진을 목적으로 저비용 AI 번역 모델의 개발에 주력하고 있습니다. 이러한 모델은 머신러닝을 활용하고 비용을 최소화하면서 신속하고 정확한 번역을 제공함으로써 조직이 비용이 많이 드는 솔루션에 의존하지 않고 대규모 다국어 커뮤니케이션을 지원할 수 있도록 합니다. 예를 들어, 2025년 7월에는 Alibaba가 92개 언어를 지원하는 저비용 기계 번역 모델인 Qwen-MT를 발표했습니다. 이 모델은 다양한 문서 및 커뮤니케이션 요구에 대해 컨텍스트를 인식하는 정확한 번역을 제공하도록 설계되었습니다. 용어 관리, 분야 특화형 프롬프트, 번역 메모리 등 비즈니스용 기능을 갖추고 일관성과 고품질을 보장합니다. 인간에 의한 평가에서도 그 유효성이 확인되고 있어 세계 커뮤니케이션을 위한 신뢰성이 높고 저렴한 툴이 되고 있습니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향과 전략
제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계의 AI 문서 번역 품질 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
최종 이용 산업의 분석
세계의 AI 문서 번역 품질 시장 : 성장률 분석
세계의 AI 문서 번역 품질 시장 실적: 규모와 성장, 2019-2024년
세계의 AI 문서 번역 품질 시장 예측 : 규모와 성장, 2024-2029년, 2034년
세계의 AI 문서 번역 품질 : 총잠재시장 규모(TAM)
제6장 시장 세분화
세계의 AI 문서 번역 품질 시장 : 컴포넌트별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
소프트웨어
서비스
세계의 AI 문서 번역 품질 시장 : 전개 모드별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
클라우드
On-Premise
세계의 AI 문서 번역 품질 시장 : 조직 규모별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
중소기업
대기업
세계의 AI 문서 번역 품질 시장 : 용도별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
법률 문서
기술 매뉴얼
마케팅 자료
재무 문서
의료기록
기타
세계의 AI 문서 번역 품질 시장 : 최종 사용자별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
기업
정부
교육
헬스케어
은행, 금융서비스 및 보험(BFSI)
기타
세계의 AI 문서 번역 품질 시장 : 소프트웨어별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
기계 번역 소프트웨어
자연언어처리(NLP) 툴
번역 관리 시스템(TMS)
신경 기계 번역(NMT) 엔진
컴퓨터 지원 번역(CAT) 도구
음성 인식 및 문자판독 소프트웨어
세계의 AI 문서 번역 품질 시장 : 서비스별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
전문 번역 서비스
매니지드 서비스
통합 및 도입 서비스
교육 및 컨설팅 서비스
지원 및 유지보수 서비스
제7장 지역별/국가별 분석
세계의 AI 문서 번역 품질 시장 : 지역별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
세계의 AI 문서 번역 품질 시장 : 국가별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
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 프로파일
AI 문서 번역 품질 시장 : 경쟁 구도
AI 문서 번역 품질 시장 : 기업 프로파일
Alphabet Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
Microsoft Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
Tencent Cloud Company Limited : 개요, 제품 및 서비스, 전략 및 재무 분석
International Business Machines Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
Yandex NV : 개요, 제품 및 서비스, 전략 및 재무 분석
제31장 기타 주요 기업 및 혁신 기업
Alibaba Cloud(Beijing) Co Ltd
Lionbridge Technologies Inc
TransPerfect Global Inc.
RWS Holdings plc
ABBYY
DeepL SE
LanguageWire A/S
Phrase sro
Unbabel Inc.
Lilt Inc.
Systran SAS
Smartling Inc.
AppTek Inc.
NAU(The North American Unit of TAUS)
Promt GmbH
제32장 세계 시장 경쟁 벤치마킹과 대시보드
제33장 주요 인수합병(M&A)
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 부문, 전략
AI 문서 번역 품질 시장 2029 : 새로운 기회를 제공하는 국가
AI 문서 번역 품질 시장 2029 : 새로운 기회를 제공하는 부문
AI 문서 번역 품질 시장 2029 : 성장 전략
시장 동향에 기초한 전략
경쟁 전략
제36장 부록
SHW
영문 목차
영문목차
Artificial intelligence (AI) powered document translation quality refers to the application of advanced algorithms and machine learning models to improve the accuracy, fluency, and consistency of translated content. It evaluates linguistic patterns and contextual details to deliver high quality translations in real time. This method minimizes errors, enhances efficiency, and ensures dependable cross language communication. Its key advantage is providing scalable and adaptive translation quality that surpasses traditional approaches.
The main components of artificial intelligence (AI) powered document translation quality are software and services. Software consists of AI based platforms and tools developed to automate and improve the accuracy, speed, and quality of document translation. Deployment options include cloud and on premises, serving both small and medium enterprises as well as large organizations. Applications cover legal documents, technical manuals, marketing materials, financial records, healthcare documentation, and others. Key end users include enterprises, government, education, healthcare, banking, financial services, insurance (BFSI), and more.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.
The artificial intelligence (AI)-powered document translation quality market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-powered document translation quality market statistics, including artificial intelligence (AI)-powered document translation quality industry global market size, regional shares, competitors with a artificial intelligence (AI)-powered document translation quality market share, detailed artificial intelligence (AI)-powered document translation quality market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-powered document translation quality industry. The artificial intelligence (AI)-powered document translation quality market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The artificial intelligence (AI)-powered document translation quality market size has grown exponentially in recent years. It will grow from $2.17 billion in 2024 to $2.66 billion in 2025 at a compound annual growth rate (CAGR) of 22.6%. Growth in the historic period was driven by regulatory compliance requirements, globalization of businesses, early adoption of neural machine translation, advancements in natural language processing, and rising demand in the legal and medical sectors.
The artificial intelligence (AI)-powered document translation quality market size is expected to see exponential growth in the next few years. It will grow to $5.95 billion in 2029 at a compound annual growth rate (CAGR) of 22.2%. Growth in the forecast period is expected to result from integration with augmented reality and virtual reality platforms, expansion of voice to text translation capabilities, increased use in cross border e learning platforms, development of industry specific AI translation models, and growing adoption in customer service automation. Key trends projected for the forecast period include personalization of translation outputs, blockchain integration for content security, emergence of multimodal translation systems, collaboration between human translators and AI, and growth of low resource language translation models.
The increasing investments in digital infrastructure are expected to support the growth of the market for AI-powered document translation quality. These investments involve financial commitments toward the development and expansion of digital networks, data centers, and related technologies that enable modern connectivity and data processing. The rise in digital infrastructure spending is driven by ongoing digital transformation, as organizations seek to build strong technological foundations to support remote operations, cloud services, and advanced technologies. Improved digital infrastructure enhances the capacity and reliability of systems required for AI to handle complex document translation tasks with greater accuracy and efficiency. For example, in July 2024, the UK Office for National Statistics reported that market sector investment in digital infrastructure reached $12.54 billion in 2022, marking a 22.9% increase from 2021. These growing investments are contributing to the expansion of the AI-powered document translation quality market.
Companies in the AI-powered document translation quality market are focusing on the development of low-cost AI translation models to reduce operational costs and encourage broader adoption across industries. These models use machine learning to provide fast and accurate translations while minimizing expenses, allowing organizations to support multilingual communication on a larger scale without relying on high-cost solutions. For example, in July 2025, Alibaba introduced Qwen-MT, a low-cost machine translation model supporting 92 languages. The model is designed to deliver accurate, context-aware translations for various types of documents and communication needs. It includes business-focused features such as terminology management, field-specific prompts, and translation memory to ensure consistency and high quality. Human assessments confirm its effectiveness, making it a reliable and affordable tool for global communication.
In February 2024, Jonckers, a language services provider based in Belgium, merged with Acclaro to create a leading AI-powered localization company with expanded international capabilities. The merger is aimed at enhancing the combined company's reach and strengthening its AI-driven translation services for clients across industries such as technology, e-commerce, and media. Acclaro, based in the United States, offers AI-powered tools that improve document translation quality, and this collaboration is expected to support the growing demand for scalable and accurate language solutions.
Major players in the artificial intelligence (AI)-powered document translation quality market are Alphabet Inc., Microsoft Corporation, Tencent Cloud Company Limited, International Business Machines Corporation, Yandex N.V., Alibaba Cloud (Beijing) Co Ltd, Lionbridge Technologies Inc., TransPerfect Global Inc., RWS Holdings plc, ABBYY, DeepL SE, LanguageWire A/S, Phrase sro, Unbabel Inc., Lilt Inc., Systran SAS, Smartling Inc., AppTek Inc., NAU (The North American Unit of TAUS), and Promt GmbH.
North America was the largest region in the artificial intelligence (AI)-powered document translation quality market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI)-powered document translation quality report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the artificial intelligence (AI)-powered document translation quality market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI)-powered document translation quality market consists of revenues earned by entities by providing services such as real-time translation support, post-editing and quality assurance, integration and customization, multilingual content management, and continuous model training. 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.
Artificial Intelligence (AI)-Powered Document Translation Quality 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 artificial intelligence (ai)-powered document translation quality 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
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Where is the largest and fastest growing market for artificial intelligence (ai)-powered document translation quality ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai)-powered document translation quality 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 market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Component: Software; Services
2) By Deployment Mode: Cloud; On-Premises
3) By Organization Size: Small And Medium Enterprises; Large Enterprises
4) By Application: Legal Documents; Technical Manuals; Marketing Materials; Financial Documents; Healthcare Records; Other Applications
5) By End-User: Enterprises; Government; Education; Healthcare; Banking, Financial Services And Insurance (BFSI); Other End-Users
Subsegments:
1) By Software: Machine Translation Software; Natural Language Processing (NLP) Tools; Translation Management Systems (TMS); Neural Machine Translation (NMT) Engines; Computer-Assisted Translation (CAT) Tools; Speech Recognition And Text-To-Speech Software
2) By Services: Professional Translation Services; Managed Services; Integration And Deployment Services; Training And Consulting Services; Support And Maintenance Services
Companies Mentioned: Alphabet Inc.; Microsoft Corporation; Tencent Cloud Company Limited; International Business Machines Corporation; Yandex N.V.; Alibaba Cloud (Beijing) Co Ltd; Lionbridge Technologies Inc; TransPerfect Global Inc.; RWS Holdings plc; ABBYY; DeepL SE; LanguageWire A/S; Phrase sro; Unbabel Inc.; Lilt Inc.; Systran SAS; Smartling Inc.; AppTek Inc.; NAU (The North American Unit of TAUS); Promt GmbH.
4. Artificial Intelligence (AI)-Powered Document Translation Quality Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market
4.1. Supply Chain Impact from Tariff War & Trade Protectionism
5. Global Artificial Intelligence (AI)-Powered Document Translation Quality Growth Analysis And Strategic Analysis Framework
5.1. Global Artificial Intelligence (AI)-Powered Document Translation Quality PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
