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市场调查报告书
商品编码
1825361

全球机器翻译市场 - 预测 2025-2030

Global Machine Translation Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 150 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

机器翻译市场预计将从 2025 年的 17.29 亿美元成长到 2030 年的 28.06 亿美元，复合年增长率为 10.17%。

机器翻译 (MT) 是一种自动化的翻译过程，它利用电脑软体将文字从一种自然语言翻译成另一种自然语言，无需人工干预。这项技术涵盖文字和图像的翻译，并且不断发展，准确率不断提高，在各种商业和消费者应用中的应用也日益广泛。

机器翻译市场正在经历显着成长，这主要得益于电脑辅助翻译工具的广泛应用。经济成长和业务国际化趋势推动了这一市场扩张，因为企业寻求以多种语言提供内容、产品和服务。因此，翻译公司越来越多地将机器翻译作为核心业务工具。

目录

第一章执行摘要

第二章市场概述

  • 市场概况
  • 市场定义
  • 分析范围
  • 细分市场

第三章 经营状况

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策法规
  • 策略建议

第四章 技术展望

第五章：全球机器翻译市场（按技术）

  • 介绍
  • 统计机器翻译
  • 基于规则的机器学习
  • 混合机器翻译
  • 神经机器翻译

第六章：全球机器翻译市场（以最终用户划分）

  • 介绍
  • 汽车和运输
  • 电气和电子
  • 军事/国防
  • 医疗保健
  • 资讯科技（IT）
  • 其他的

7. 全球机器翻译市场（按地区）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他的
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 印尼
    • 泰国
    • 其他的

第八章竞争格局及分析

  • 主要企业和策略分析
  • 市占率分析
  • 企业合併、协议、商业合作
  • 竞争对手仪表板

第九章：公司简介

  • Google Inc.
  • IBM Corporation
  • Microsoft Corporation
  • RWS Holdings PLC
  • Omniscien Technologies
  • Pangeanic
  • SDL PLC
  • CSLi

第十章 附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益
  • 分析方法
  • 简称
简介目录
Product Code: KSI061610994

The global machine translation market is expected to grow from USD 1.729 billion in 2025 to USD 2.806 billion in 2030, at a CAGR of 10.17%.

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

TABLE OF CONTENTS

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

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. Google Inc.
  • 9.2. IBM Corporation
  • 9.3. Microsoft Corporation
  • 9.4. RWS Holdings PLC
  • 9.5. Omniscien Technologies
  • 9.6. Pangeanic
  • 9.7. SDL PLC
  • 9.8. CSLi

10. APPENDIX

  • 10.1. Currency
  • 10.2. Assumptions
  • 10.3. Base and Forecast Years Timeline
  • 10.4. Key benefits for the stakeholders
  • 10.5. Research Methodology
  • 10.6. Abbreviations