首頁 > 市場調查報告書 > 消費品

市場調查報告書

商品編碼

1825361

全球機器翻譯市場 - 預測 2025-2030

Global Machine Translation Market - Forecasts from 2025 to 2030

出版日期: 2025年08月24日 | 出版商:

Knowledge Sourcing Intelligence | 英文 150 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

機器翻譯市場預計將從 2025 年的 17.29 億美元成長到 2030 年的 28.06 億美元，複合年成長率為 10.17%。

機器翻譯 (MT) 是一種自動化的翻譯過程，它利用電腦軟體將文字從一種自然語言翻譯成另一種自然語言，無需人工干預。這項技術涵蓋文字和圖像的翻譯，並且不斷發展，準確率不斷提高，在各種商業和消費者應用中的應用也日益廣泛。

機器翻譯市場正在經歷顯著成長，這主要得益於電腦輔助翻譯工具的廣泛應用。經濟成長和業務國際化趨勢推動了這一市場擴張，因為企業尋求以多種語言提供內容、產品和服務。因此，翻譯公司擴大將機器翻譯作為核心業務工具。

Machine translation (MT) represents an automated translation process utilizing computer software to translate text from one natural language to another without human intervention. The technology encompasses translation of text and images, continuously evolving with enhanced accuracy levels that drive its adoption across diverse business sectors and consumer applications.

The machine translation market is experiencing substantial growth, primarily attributed to the widespread adoption of computer-assisted translation tools. This expansion is fueled by economic growth and business internationalization trends, where organizations seek to deliver content, products, and services across multiple languages. Consequently, translation companies are increasingly integrating machine translation as a core operational tool.

Market Segmentation

Technology Segmentation: Neural Machine Translation emerges as the most promising technology segment, despite being relatively newer to the market. Major technology corporations including Google Inc and IBM Corporation have successfully implemented neural translation technologies. Traditional approaches-Statistical Translations, Rule-based Translation, and Hybrid-translations-continue to maintain significant market share while undergoing continuous technological evolution.

End-User Analysis: Healthcare and education sectors represent emerging high-growth segments, while established sectors continue their upward trajectory. The diversification of end-user applications demonstrates the technology's versatility and broad market appeal.

Geographic Distribution: North America currently commands the largest market share in the global machine translation landscape. The Asia-Pacific region exhibits exceptional growth momentum, with China and South Korea leading regional expansion efforts.

Growth Drivers

Multi-Faceted Applications

Machine translation demonstrates remarkable versatility across industries including automotive, military, defense, healthcare, education, and e-commerce. The military and defense sectors require rapid, high-volume content translation for real-time multilingual communication capabilities. The automotive industry leverages MT for technical documentation, training materials, and human-machine interfaces, particularly in AI-based vehicle systems where machine translation and artificial intelligence operate synergistically.

Educational institutions utilize MT for analytical and customizable knowledge delivery, with online learning platforms offering multilingual course options to accommodate diverse learners. Healthcare professionals employ machine translation for global patient interaction, facilitating patient history clarification, clinical diagnosis reviews, and treatment plan communication. The technology serves as an enabler for assistive technologies supporting individuals with various disabilities.

E-commerce giants utilize machine translation to enhance consumer experiences through native language shopping capabilities. The sector extensively employs image-to-text translation, enabling purchase decisions based on photographic content. OTT streaming platforms have integrated machine translation to provide multilingual content delivery, expanding their global reach.

Cost-Effectiveness and Speed

The growing demand for cost-effective, high-speed translation solutions significantly augments market growth. Organizations seek affordable translation services that enable market expansion and accelerated product deployment. Machine translation provides efficient solutions at minimal costs while saving translators time and delivering accurate results, making it attractive across multiple industries.

Competitive Landscape

The global machine translation market features established leaders including Google Inc., IBM Corporation, Microsoft Corporation, RWS Holdings PLC, Omniscien Technologies, Pangeanic, SDL PLC, and CSLi. These market participants implement various growth strategies including product launches, mergers, and acquisitions to maintain competitive advantages.

The market continues evolving through technological advancement and strategic consolidation, positioning machine translation as an essential tool for global business operations and cross-cultural communication in an increasingly interconnected world economy.

Key Benefits of this Report:

Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

Historical data from 2022 to 2024 & forecast data from 2025 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

Machine Translation Market Segments:

By Technology

Statistical Machine Translation
Rule-Based Machine Learning
Hybrid Machine Translation
Neural Machine Translation

By End-User

Automotive & Transportation
Electrical & Electronics
Military & Defense
Healthcare
Information Technology
Others

By Geography

North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
Germany
France
United Kingdom
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Others
Asia Pacific
China
India
Japan
South Korea
Indonesia
Thailand
Others

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation

3. BUSINESS LANDSCAPE

3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter's Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. GLOBAL MACHINE TRANSLATION MARKET BY TECHNOLOGY

5.1. Introduction
5.2. Statistical Machine Translation
5.3. Rule-Based Machine Learning
5.4. Hybrid Machine Translation
5.5. Neural Machine Translation

6. GLOBAL MACHINE TRANSLATION MARKET BY END-USER

6.1. Introduction
6.2. Automotive & Transportation
6.3. Electrical & Electronics
6.4. Military & Defense
6.5. Healthcare
6.6. Information Technology
6.7. Others

7. GLOBAL MACHINE TRANSLATION MARKET BY GEOGRAPHY

7.1. Introduction
7.2. North America
- 7.2.1. USA
- 7.2.2. Canada
- 7.2.3. Mexico
7.3. South America
- 7.3.1. Brazil
- 7.3.2. Argentina
- 7.3.3. Others
7.4. Europe
- 7.4.1. Germany
- 7.4.2. France
- 7.4.3. United Kingdom
- 7.4.4. Spain
- 7.4.5. Others
7.5. Middle East and Africa
- 7.5.1. Saudi Arabia
- 7.5.2. UAE
- 7.5.3. Others
7.6. Asia Pacific
- 7.6.1. China
- 7.6.2. India
- 7.6.3. Japan
- 7.6.4. South Korea
- 7.6.5. Indonesia
- 7.6.6. Thailand
- 7.6.7. Others