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机器翻译市场按服务提供、类型、部署模式、公司规模和最终用户划分 - 2025-2030 年全球预测

Machine Translation Market by Offering, Type, Deployment Mode, Enterprise Size, End-User - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 189 Pages | 商品交期: 最快1-2个工作天内

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预计2024年机器翻译市场价值将达到7.7977亿美元，2025年将成长至8.7209亿美元，复合年增长率为12.22%，到2030年将达到15.5789亿美元。

主要市场统计数据
基准年 2024 年 7.7977亿美元
预计 2025 年 8.7209亿美元
预测年份 2030 15.5789亿美元
复合年增长率（%） 12.22％

机器翻译继续重新定义全球通讯格局。创新技术融入翻译过程不仅重塑了传统的语言界限，而且使组织能够更有效地服务多元化、多语言的受众。最近的进步为各行各业更快、更准确、更具情境感知的翻译铺平了道路。该领域技术的快速发展主要受到人工智慧和机器学习的发展所推动，自动化系统的发展远远超出了基本的语言转换。这项进步开闢了许多机会，增强了科技在实现跨国沟通无缝衔接和弥合文化差距方面的作用。此外，各组织现在正在利用机器翻译来优化工作流程效率，提供经济高效的解决方案且不影响品质。本摘要详细介绍了主要趋势、细分考虑、区域发展和竞争格局，为考虑投资或增强机器翻译能力的决策者提供策略指南。

全球市场竞争激烈，成熟公司与新兴企业并存。随着企业专注于提高客户经验和业务效率，采用机器翻译技术已成为其全球策略的关键要素。从基本的解决方案到当今复杂的系统的发展凸显了这个市场所蕴含的变革潜力。在速度、准确性和上下文相关性至关重要的时代，相关人员被敦促考虑利用先进的机器翻译功能的长期利益。

变革性变革正在塑造机器翻译格局

由于技术的快速进步和业务需求的不断发展，机器翻译市场正在经历重大变革时期。深度学习演算法的进步越来越影响着产业动态，显着提高了翻译引擎的效能。整合神经网路来提高上下文准确性和产生更自然的翻译的趋势日益增长。这种模式转移的基础是不断突破机器理解和文本生成界限的研究，从而产生了更复杂的语言模型。

此外，从旧有系统转向更灵活的云端基础的基础设施的转变正在加速尖端翻译工具的采用。越来越多的公司选择具有可扩展性和灵活性的云端部署模式，从而能够满足不断变化的需求并适应全球救援工作。将传统的基于规则的方法与统计和神经模型相结合的混合方法也日益流行。这种融合促进了更一体化的翻译生态系统，利用多种方法的优势来应对特定产业的挑战。随着人工智慧日趋成熟，研发投入正在加速，推动进一步创新并鼓励对现有翻译范式的重新评估。

关键细分洞见与市场规模

机器翻译市场的分析框架揭示了几个关键的细分领域，可以洞察市场趋势。首先，详细了解服务和软体可以了解如何客製化产品类型以满足特定需求。当根据类型评估市场时，很明显神经机器翻译（NMT）目前引领创新，而基于规则的机器翻译（RBMT）和统计机器翻译（SMT）仍然很重要。按类型进行的三种细分突出表明，每种方法都能满足不同的应用需求，并带来自己的方法和效能概况。

此外，基于部署类型的细分区分了云端和本地解决方案。这种区别至关重要，因为它影响灵活性、扩充性以及与现有IT基础设施整合的简易性。根据公司规模进行的细分侧重于为大型企业而非中小型企业 (SME) 提供的客製化解决方案。这里的市场动态表明，大公司通常会投资全面的企业级解决方案来管理其大量资料，而中小企业则受益于更灵活、更具成本效益的系统。

根据最终用户类别分析市场可以提供行业采用情况的详细视图。航太与国防、汽车与运输、银行、金融服务与保险、消费性电子、能源、医疗保健与医疗设备、资讯科技与通讯、製造业等各领域都面临各自的挑战与机会。例如，医疗保健等领域非常重视翻译的准确性和上下文，而消费性电子产品则要求快速更新且一致的术语。这种多方面的细分不仅增强了策略决策能力，而且还揭示了推动各个垂直行业技术采用的频谱应用和特定需求。

目录

第 1 章 简介

第二章调查方法

第三章执行摘要

第四章 市场概况

第五章 市场洞察

  • 市场动态
    • 驱动程式
      • 全球化和国际贸易的扩大导致机器翻译的需求增加。
      • 社群媒体、游戏和直播平台对即时翻译的需求日益增加
    • 限制因素
      • 实施机器翻译的初始成本较高
    • 机会
      • 开发先进的人工智慧和神经网络，使机器翻译工具更有效率
      • 机器翻译供应商与律师事务所在法律翻译方面建立策略伙伴关係
    • 任务
      • 机器翻译相关的资料隐私和安全问题
  • 市场区隔分析
    • 类型：神经机器翻译因其卓越的准确性、流畅性和上下文理解能力而被广泛应用
    • 最终用户：在航太和国防领域发挥关键作用，快速且准确地翻译多语言文件、技术手册和资讯报告
  • 波特五力分析
  • PESTEL 分析
    • 政治的
    • 经济
    • 社会
    • 技术的
    • 合法的
    • 环境

第六章 机器翻译市场（依产品分类）

  • 服务
  • 软体

第七章 机器翻译市场类型

  • 神经机器翻译（NMT）
  • 基于规则的机器翻译（RBMT）
  • 统计机器翻译（SMT）

第 8 章 机器翻译市场（依部署模式）

  • 在云端
  • 本地

第九章 机器翻译市场（依公司规模）

  • 大型企业
  • 中小企业

第 10 章 机器翻译市场（依最终使用者划分）

  • 航太和国防
  • 汽车与运输
  • BFSI
  • 家电
  • 活力
  • 医疗保健和医疗设备
  • 资讯科技和通讯
  • 製造业

第 11 章：美洲机器翻译市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十二章 亚太地区机器翻译市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第 13 章 欧洲、中东和非洲机器翻译市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十四章 竞争格局

  • 2024 年市场占有率分析
  • FPNV 定位矩阵，2024 年
  • 竞争情境分析
  • 战略分析与建议

公司列表

  • AISA Digital
  • Alibaba Cloud International
  • Amazon Web Services, Inc.
  • AppTek.ai
  • DeepL SE
  • Google LLC
  • IBM Corporation
  • LILT Inc.
  • Lionbridge Technologies, LLC.
  • MarsTranslation
  • Meta Platforms Inc.
  • Microsoft Corporation
  • Pangeanic
  • PROMT
  • Reverso
  • RWS Holdings PLC
  • SAP SE
  • Smartling, Inc.
  • SYSTRAN
  • Tencent Cloud
  • TextUnited GmbH
  • TransPerfect Global, Inc.
  • Unbabel Inc.
  • XL8 Inc.
  • YANDEX LLC
Product Code: MRR-14332CB05B73

The Machine Translation Market was valued at USD 779.77 million in 2024 and is projected to grow to USD 872.09 million in 2025, with a CAGR of 12.22%, reaching USD 1,557.89 million by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 779.77 million
Estimated Year [2025] USD 872.09 million
Forecast Year [2030] USD 1,557.89 million
CAGR (%) 12.22%

Machine Translation continues to redefine the global communication landscape. The integration of innovative technologies into translation processes has not only reshaped traditional linguistic boundaries but also enabled organizations to serve diverse, multilingual audiences more effectively. Recent advancements have paved the way for faster, more accurate, and contextually aware translations across various industries. The rapid technological evolution in this domain is driven primarily by developments in artificial intelligence and machine learning, allowing automated systems to evolve far beyond basic language conversion. This progress has opened up numerous opportunities, making cross-border communication seamless and elevating the role of technology in bridging cultural gaps. Furthermore, organizations now harness machine translation to optimize workflow efficiency, providing cost-effective solutions without compromising quality. This summary provides an in-depth look into key trends, segmentation insights, regional dynamics, and competitive landscapes, offering strategic guidance to decision-makers seeking to invest in or enhance their machine translation initiatives.

The global market is increasingly competitive, characterized by a blend of established enterprises and emerging players. As businesses focus on improving customer experience and operational efficiency, the adoption of machine translation technologies has become a critical component in global strategies. The evolution from rudimentary solutions to the sophisticated systems available today underscores the transformative potential embedded within this market. In an era where speed, accuracy, and contextual relevance are paramount, stakeholders are urged to consider the long-term benefits of leveraging advanced machine translation capabilities.

Transformative Shifts Shaping the Machine Translation Landscape

The machine translation market is witnessing profound transformations driven by rapid technological progress and evolving business requirements. Industry dynamics are increasingly influenced by breakthroughs in deep learning algorithms, which have significantly improved the performance of translation engines. There is an observable trend towards the integration of neural networks that enhance contextual accuracy and generate translations that read naturally. This paradigm shift is underpinned by research that continuously pushes the boundaries of machine comprehension and text generation, leading to more refined language models.

In addition, the move away from legacy systems towards more agile cloud-based infrastructures has expedited the deployment of cutting-edge translation tools. Organizations are increasingly opting for on-cloud deployment modes which offer scalability and flexibility, allowing businesses to meet fluctuating demands and adapt to global outreach. The transformative shifts in the market also spotlight an increasing inclination towards hybrid approaches that combine traditional rule-based methodologies with statistical and neural models. This convergence fosters a more integrated translation ecosystem that leverages the strengths of multiple approaches to tackle industry-specific challenges. The growing maturity of artificial intelligence has also resulted in heightened investments in research and development, further accelerating innovation and prompting a reevaluation of existing translation paradigms.

Key Segmentation Insights and Market Dimensions

An analytical framework for the machine translation market reveals several critical segmentation dimensions that offer clarity into market trends. The market is first segmented based on the offering, where a detailed examination of services and software provides insights into how different product categories are tailored to meet specific needs. When we evaluate the market based on type, it becomes clear that Neural Machine Translation (NMT) is currently leading innovation, with Rules-Based Machine Translation (RBMT) and Statistical Machine Translation (SMT) remaining significant. This tripartite segmentation by type underscores the distinct methodologies and performance profiles that each approach brings, catering to varied application requirements.

Further segmentation based on deployment mode distinguishes between on-cloud and on-premise solutions. This differentiation is crucial as it impacts flexibility, scalability, and integration ease with existing IT infrastructures. Another lens of segmentation, based on enterprise size, highlights the tailored solutions provided to large enterprises as opposed to small and medium-sized enterprises (SMEs). The market dynamics here illustrate that while large corporations often invest in comprehensive, enterprise-grade solutions to manage vast amounts of data, SMEs benefit from more agile, cost-effective systems.

Analyzing the market based on end-user categories offers a granular perspective on industry adoption. Different sectors such as aerospace and defense, automotive and transportation, BFSI, consumer electronics, energy, healthcare and medical devices, IT and telecommunications, and manufacturing each present unique challenges and opportunities. For instance, sectors like healthcare rely on precision and context in translations, while consumer electronics demand rapid updates and consistent terminologies. This multifaceted segmentation not only enhances strategic decision-making but also illuminates the broader spectrum of applications and the specific needs that drive technology adoption across various industries.

Based on Offering, market is studied across Services and Software.

Based on Type, market is studied across Neural Machine Translation (NMT), Rules-Based Machine Translation (RBMT), and Statistical Machine Translation (SMT).

Based on Deployment Mode, market is studied across On-cloud and On-premise.

Based on Enterprise Size, market is studied across Large Enterprises and Small & Medium-sized Enterprises.

Based on End-User, market is studied across Aerospace & Defense, Automotive & Transportation, BFSI, Consumer Electronics, Energy, Healthcare & Medical Devices, IT & Telecommunications, and Manufacturing.

Regional Dynamics and Emerging Market Trends

The machine translation market is not homogenous; it displays distinct regional characteristics that influence technology adoption and competitive strategy. In the Americas, robust infrastructure, significant investment in technology, and a mature digital ecosystem have driven the deployment of advanced translation systems. Companies in this region benefit from early adoption trends and a strong focus on innovation, positioning the Americas as a leader in both research and commercial applications.

Across the Europe, Middle East & Africa region, there is a unique blend of legacy systems and modern technological interventions underway. This region emphasizes regulatory compliance alongside cultural nuances in translation services, ensuring that solutions not only are technologically sound but also contextually relevant. Meanwhile, in the Asia-Pacific region, rapid economic growth, coupled with diverse linguistic needs, is fueling an accelerated adoption of machine translation technologies. This region's focus on cost-effective scalability and high-volume translation requirements is a driving force behind the widespread implementation of both on-cloud and on-premise solutions. Collectively, these regional insights illuminate the strategic priorities and investment patterns that shape the global discourse on machine translation.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Competitive Landscape and Key Company Contributions

A multitude of companies are making significant contributions to the evolution of the machine translation market by consistently pushing the envelope of technological innovation. Notable firms such as AISA Digital and Alibaba Cloud International are capitalizing on their deep understanding of regional market dynamics to offer innovative solutions tailored for both local and global audiences. Prominent industry giants including Amazon Web Services, Inc. and Google LLC bring cutting-edge cloud computing capabilities to the fore, enabling scalable and highly integrated translation services that meet diverse client needs.

Market leaders like IBM Corporation and Microsoft Corporation have leveraged years of technological development to create systems that incorporate artificial intelligence and machine learning into their translation engines. AppTek.ai and DeepL SE have distinguished themselves by focusing on enhanced accuracy and contextual understanding, making strides particularly in Neural Machine Translation implementations. Companies such as LILT Inc. and Lionbridge Technologies, LLC. have historically contributed through their expertise in language services, thereby bridging traditional translation practices with modern, automated approaches.

Additionally, organizations including MarsTranslation, Meta Platforms Inc., and Pangeanic have honed specialized algorithms that cater to specific industry demands, such as complex terminologies and regulatory requirements. Further, firms like PROMT, Reverso, and RWS Holdings PLC continue to improve linguistic precision, ensuring that translations remain faithful to the original content. SAP SE, Smartling, Inc., and SYSTRAN have integrated comprehensive digital workflows that synergize with existing enterprise systems, highlighting the industry's push towards more automated and integrated ecosystems. Tencent Cloud, TextUnited GmbH, TransPerfect Global, Inc., Unbabel Inc., XL8 Inc., and YANDEX LLC are also significantly influencing market trends, solidifying their roles as key players in driving the pace of machine translation technology forward. Together, these companies not only compete at the forefront of innovation but also collaborate in setting industry standards that shape future developments.

The report delves into recent significant developments in the Machine Translation Market, highlighting leading vendors and their innovative profiles. These include AISA Digital, Alibaba Cloud International, Amazon Web Services, Inc., AppTek.ai, DeepL SE, Google LLC, IBM Corporation, LILT Inc., Lionbridge Technologies, LLC., MarsTranslation, Meta Platforms Inc., Microsoft Corporation, Pangeanic, PROMT, Reverso, RWS Holdings PLC, SAP SE, Smartling, Inc., SYSTRAN, Tencent Cloud, TextUnited GmbH, TransPerfect Global, Inc., Unbabel Inc., XL8 Inc., and YANDEX LLC. Actionable Recommendations for Industry Leaders

Industry leaders seeking to fortify their position in the burgeoning machine translation space should consider several actionable strategies. A primary recommendation is to invest in the integration of advanced artificial intelligence systems, particularly those underpinning Neural Machine Translation, as this technology consistently demonstrates superior accuracy and contextual fidelity. Emphasizing a dual approach that leverages both cloud-based and on-premise deployment strategies can ensure flexibility while enhancing system resilience. Decision-makers should also prioritize the harmonization of translation services with existing digital workflows, thereby maximizing operational efficiency and data integrity across multinational operations.

Leaders are advised to foster collaborations with technology providers and research institutions to remain ahead of emerging trends. By establishing strategic partnerships, companies can gain early access to novel insights and innovations that propel machine translation capabilities forward. Embracing agile methodologies in technology implementation is another key consideration, as it allows for rapid iteration and adaptation to market demands. Additionally, ensuring regulatory compliance and addressing cultural nuances in translations will be critical for maintaining relevance in diverse global markets. To drive sustainable growth, organizations should commit resources towards continuous employee training, ensuring that teams are adept at leveraging cutting-edge translation technologies while also optimizing quality control measures.

Overall, a balanced strategy that underscores technological advancement, operational integration, and strategic partnerships will enable industry leaders to not only meet current market demands but also secure long-term competitive advantages in this rapidly evolving arena.

Conclusion: Reflecting on Market Dynamics and Future Trajectories

In summary, the evolution of the machine translation market is characterized by rapid technological advancements, a shifting competitive landscape, and diverse application areas that extend across multiple industries. The detailed analysis provided highlights how transformative innovations are reshaping the landscape, offering enhanced precision, contextual understanding, and efficiency. An exploration of varied segmentation parameters-including offering, type, deployment mode, enterprise size, and end-user applications-illustrates the multifaceted nature of the market and underscores the specialized needs of different industries. Moreover, the exploration of regional dynamics reveals how localized trends, investments, and infrastructural capabilities inform strategic decisions in critical markets such as the Americas, Europe, Middle East & Africa, and Asia-Pacific.

The competitive analysis of leading companies illuminates the collective efforts of a diverse group of industry pioneers who are propelling market evolution through relentless innovation and integrated digital solutions. Both established giants and emerging startups have contributed to creating a robust, competitive environment that is ripe with opportunities for further growth. As technology continues to accelerate, stakeholders can expect continual shifts that will redefine industry standards, driving the need for agile adoption strategies and forward-thinking investment decisions. The future trajectory of machine translation promises enhanced business communication, more intuitive translation interfaces, and an increasingly integrated global marketplace.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Globalization and international trade expansions are pushing the demand for machine translation
      • 5.1.1.2. Growing need for real-time translation in social media, gaming, and live-streaming platforms
    • 5.1.2. Restraints
      • 5.1.2.1. High initial costs associated with implementation of machine translation
    • 5.1.3. Opportunities
      • 5.1.3.1. Development of advanced AI and neural networks boosts the efficiency of machine translation tools
      • 5.1.3.2. Strategic partnerships between machine translation vendors and law firms for legal document translation
    • 5.1.4. Challenges
      • 5.1.4.1. Data privacy and security issues associated with machine translation
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Type: Widespread usage of neural machine translation due to superior accuracy, fluency, and contextual understanding
    • 5.2.2. End-User: Crucial role in aerospace & defense sector for translating multilingual documents, technical manuals, and intelligence reports quickly and accurately
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Machine Translation Market, by Offering

  • 6.1. Introduction
  • 6.2. Services
  • 6.3. Software

7. Machine Translation Market, by Type

  • 7.1. Introduction
  • 7.2. Neural Machine Translation (NMT)
  • 7.3. Rules-Based Machine Translation (RBMT)
  • 7.4. Statistical Machine Translation (SMT)

8. Machine Translation Market, by Deployment Mode

  • 8.1. Introduction
  • 8.2. On-cloud
  • 8.3. On-premise

9. Machine Translation Market, by Enterprise Size

  • 9.1. Introduction
  • 9.2. Large Enterprises
  • 9.3. Small & Medium-sized Enterprises

10. Machine Translation Market, by End-User

  • 10.1. Introduction
  • 10.2. Aerospace & Defense
  • 10.3. Automotive & Transportation
  • 10.4. BFSI
  • 10.5. Consumer Electronics
  • 10.6. Energy
  • 10.7. Healthcare & Medical Devices
  • 10.8. IT & Telecommunications
  • 10.9. Manufacturing

11. Americas Machine Translation Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific Machine Translation Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa Machine Translation Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2024
  • 14.2. FPNV Positioning Matrix, 2024
  • 14.3. Competitive Scenario Analysis
    • 14.3.1. CiNii Research leverages machine translation to bridge language barriers and enhnace the global visibility
    • 14.3.2. DeepL propels growth with UDF 300 million investment, enhancing global AI translation services
    • 14.3.3. Tomedes has launched the "Most Popular Translation" new feature on translation accuracy through multi-engine consensus evaluation
  • 14.4. Strategy Analysis & Recommendation

Companies Mentioned

  • 1. AISA Digital
  • 2. Alibaba Cloud International
  • 3. Amazon Web Services, Inc.
  • 4. AppTek.ai
  • 5. DeepL SE
  • 6. Google LLC
  • 7. IBM Corporation
  • 8. LILT Inc.
  • 9. Lionbridge Technologies, LLC.
  • 10. MarsTranslation
  • 11. Meta Platforms Inc.
  • 12. Microsoft Corporation
  • 13. Pangeanic
  • 14. PROMT
  • 15. Reverso
  • 16. RWS Holdings PLC
  • 17. SAP SE
  • 18. Smartling, Inc.
  • 19. SYSTRAN
  • 20. Tencent Cloud
  • 21. TextUnited GmbH
  • 22. TransPerfect Global, Inc.
  • 23. Unbabel Inc.
  • 24. XL8 Inc.
  • 25. YANDEX LLC

LIST OF FIGURES

  • FIGURE 1. MACHINE TRANSLATION MARKET MULTI-CURRENCY
  • FIGURE 2. MACHINE TRANSLATION MARKET MULTI-LANGUAGE
  • FIGURE 3. MACHINE TRANSLATION MARKET RESEARCH PROCESS
  • FIGURE 4. MACHINE TRANSLATION MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL MACHINE TRANSLATION MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
  • FIGURE 17. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. AMERICAS MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 19. AMERICAS MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. UNITED STATES MACHINE TRANSLATION MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 21. UNITED STATES MACHINE TRANSLATION MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. ASIA-PACIFIC MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 23. ASIA-PACIFIC MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. EUROPE, MIDDLE EAST & AFRICA MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 25. EUROPE, MIDDLE EAST & AFRICA MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. MACHINE TRANSLATION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 27. MACHINE TRANSLATION MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. MACHINE TRANSLATION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL MACHINE TRANSLATION MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. MACHINE TRANSLATION MARKET DYNAMICS
  • TABLE 7. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY NEURAL MACHINE TRANSLATION (NMT), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY RULES-BASED MACHINE TRANSLATION (RBMT), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY STATISTICAL MACHINE TRANSLATION (SMT), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY ON-CLOUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY SMALL & MEDIUM-SIZED ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY AUTOMOTIVE & TRANSPORTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY BFSI, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY CONSUMER ELECTRONICS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY ENERGY, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY HEALTHCARE & MEDICAL DEVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY IT & TELECOMMUNICATIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL MACHINE TRANSLATION MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. AMERICAS MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 30. AMERICAS MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 31. AMERICAS MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 32. AMERICAS MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 33. AMERICAS MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 34. AMERICAS MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 35. ARGENTINA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 36. ARGENTINA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 37. ARGENTINA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 38. ARGENTINA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 39. ARGENTINA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 40. BRAZIL MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 41. BRAZIL MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 42. BRAZIL MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 43. BRAZIL MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 44. BRAZIL MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 45. CANADA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 46. CANADA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 47. CANADA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 48. CANADA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 49. CANADA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 50. MEXICO MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 51. MEXICO MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 52. MEXICO MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 53. MEXICO MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 54. MEXICO MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 55. UNITED STATES MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 56. UNITED STATES MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 57. UNITED STATES MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 58. UNITED STATES MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 59. UNITED STATES MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 60. UNITED STATES MACHINE TRANSLATION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 61. ASIA-PACIFIC MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 62. ASIA-PACIFIC MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 63. ASIA-PACIFIC MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 64. ASIA-PACIFIC MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 65. ASIA-PACIFIC MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 66. ASIA-PACIFIC MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 67. AUSTRALIA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 68. AUSTRALIA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 69. AUSTRALIA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 70. AUSTRALIA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 71. AUSTRALIA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 72. CHINA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 73. CHINA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 74. CHINA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 75. CHINA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 76. CHINA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 77. INDIA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 78. INDIA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 79. INDIA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 80. INDIA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 81. INDIA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 82. INDONESIA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 83. INDONESIA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 84. INDONESIA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 85. INDONESIA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 86. INDONESIA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 87. JAPAN MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 88. JAPAN MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 89. JAPAN MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 90. JAPAN MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 91. JAPAN MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 92. MALAYSIA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 93. MALAYSIA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 94. MALAYSIA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 95. MALAYSIA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 96. MALAYSIA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 97. PHILIPPINES MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 98. PHILIPPINES MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 99. PHILIPPINES MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 100. PHILIPPINES MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 101. PHILIPPINES MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 102. SINGAPORE MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 103. SINGAPORE MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 104. SINGAPORE MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 105. SINGAPORE MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 106. SINGAPORE MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 107. SOUTH KOREA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 108. SOUTH KOREA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 109. SOUTH KOREA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 110. SOUTH KOREA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 111. SOUTH KOREA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 112. TAIWAN MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 113. TAIWAN MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 114. TAIWAN MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 115. TAIWAN MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 116. TAIWAN MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 117. THAILAND MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 118. THAILAND MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 119. THAILAND MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 120. THAILAND MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 121. THAILAND MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 122. VIETNAM MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 123. VIETNAM MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 124. VIETNAM MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 125. VIETNAM MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 126. VIETNAM MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 127. EUROPE, MIDDLE EAST & AFRICA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 128. EUROPE, MIDDLE EAST & AFRICA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 129. EUROPE, MIDDLE EAST & AFRICA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 130. EUROPE, MIDDLE EAST & AFRICA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 131. EUROPE, MIDDLE EAST & AFRICA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 132. EUROPE, MIDDLE EAST & AFRICA MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 133. DENMARK MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 134. DENMARK MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 135. DENMARK MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 136. DENMARK MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 137. DENMARK MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 138. EGYPT MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 139. EGYPT MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 140. EGYPT MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 141. EGYPT MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 142. EGYPT MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 143. FINLAND MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 144. FINLAND MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 145. FINLAND MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 146. FINLAND MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 147. FINLAND MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 148. FRANCE MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 149. FRANCE MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 150. FRANCE MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 151. FRANCE MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 152. FRANCE MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 153. GERMANY MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 154. GERMANY MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 155. GERMANY MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 156. GERMANY MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 157. GERMANY MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 158. ISRAEL MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 159. ISRAEL MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 160. ISRAEL MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 161. ISRAEL MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 162. ISRAEL MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 163. ITALY MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 164. ITALY MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 165. ITALY MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 166. ITALY MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 167. ITALY MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 168. NETHERLANDS MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 169. NETHERLANDS MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 170. NETHERLANDS MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 171. NETHERLANDS MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 172. NETHERLANDS MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 173. NIGERIA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 174. NIGERIA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 175. NIGERIA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 176. NIGERIA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 177. NIGERIA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 178. NORWAY MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 179. NORWAY MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 180. NORWAY MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 181. NORWAY MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 182. NORWAY MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 183. POLAND MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 184. POLAND MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 185. POLAND MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 186. POLAND MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 187. POLAND MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 188. QATAR MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 189. QATAR MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 190. QATAR MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 191. QATAR MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 192. QATAR MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 193. RUSSIA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 194. RUSSIA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 195. RUSSIA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 196. RUSSIA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 197. RUSSIA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 198. SAUDI ARABIA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 199. SAUDI ARABIA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 200. SAUDI ARABIA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 201. SAUDI ARABIA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 202. SAUDI ARABIA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 203. SOUTH AFRICA MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 204. SOUTH AFRICA MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 205. SOUTH AFRICA MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 206. SOUTH AFRICA MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 207. SOUTH AFRICA MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 208. SPAIN MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 209. SPAIN MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 210. SPAIN MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 211. SPAIN MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 212. SPAIN MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 213. SWEDEN MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 214. SWEDEN MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 215. SWEDEN MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 216. SWEDEN MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 217. SWEDEN MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 218. SWITZERLAND MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 219. SWITZERLAND MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 220. SWITZERLAND MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 221. SWITZERLAND MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 222. SWITZERLAND MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 223. TURKEY MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 224. TURKEY MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 225. TURKEY MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 226. TURKEY MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 227. TURKEY MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 228. UNITED ARAB EMIRATES MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 229. UNITED ARAB EMIRATES MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 230. UNITED ARAB EMIRATES MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 231. UNITED ARAB EMIRATES MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 232. UNITED ARAB EMIRATES MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 233. UNITED KINGDOM MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 234. UNITED KINGDOM MACHINE TRANSLATION MARKET SIZE, BY TYPE, 2018-2030 (USD MILLION)
  • TABLE 235. UNITED KINGDOM MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
  • TABLE 236. UNITED KINGDOM MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 237. UNITED KINGDOM MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 238. MACHINE TRANSLATION MARKET SHARE, BY KEY PLAYER, 2024
  • TABLE 239. MACHINE TRANSLATION MARKET, FPNV POSITIONING MATRIX, 2024