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神經機器翻譯市場：2025-2030 年全球預測（按服務提供、部署類型、公司規模和最終用戶）

Neural Machine Translation Market by Offering, Deployment Mode, Enterprise Size, End-User - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 198 Pages | 商品交期: 最快1-2個工作天內

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神經機器翻譯市場在 2024 年的價值預估為 2.8608 億美元，預計在 2025 年將成長至 3.2425 億美元，複合年成長率為 14.14%，預計到 2030 年將達到 6.3261 億美元。

主要市場統計數據
基準年 2024 年 2.8608億美元
預計 2025 年 3.2425億美元
預測年份 2030 6.3261億美元
複合年成長率（%） 14.14％

神經機器翻譯 (NMT) 從根本上改變了語言在數位世界中的互動方式。它不同於傳統方法，因為它利用深度學習演算法來實現更流暢、更具脈絡的翻譯。隨著人工智慧和機器學習的快速發展，NMT 不再只是一個流行詞，而是一項將重新定義全球通訊的變革性技術。

這項全面概述探討了推動該行業向前發展的創新趨勢、揭示多樣化應用的清晰市場細分模式以及強調動態成長的詳細區域和企業觀點。對於尋求利用新興機會和應對該行業潛在挑戰的利益相關人員來說，清晰地了解這些多方面的方面至關重要。

本介紹根據當前資料趨勢和技術突破對不斷變化的行業格局進行了深入分析，並根據服務產品、部署模型、公司規模和最終用戶垂直行業提供了細分見解。該討論旨在為行業資深人士和決策者提供有關當今神經機器翻譯現狀的權威指南。

改變神經機器翻譯市場

近年來，神經機器翻譯生態系統發生了快速變化。技術的進步不僅提高了翻譯的準確性，也拓寬了應用的範圍和深度。尖端的神經網路現在可以提供無縫的、上下文豐富的翻譯，具有前所未有的準確性和自然語言處理能力。

運算能力的快速成長、雲端基礎的平台的整合以及對自動化的不懈追求正在改變這個產業。隨著企業大力投資人工智慧主導的解決方案，這種變革趨勢將有助於提高可擴展性、減少延遲並更好地支援跨數位平台的多語言內容。

此外，不斷變化的消費者需求和全球連結性的需求正在刺激創新，模糊傳統機器翻譯和先進的神經方法之間的界限。混合解決方案的出現和增強的即時處理能力進一步增強了該行業的動態性。這種轉變不僅徹底改變了翻譯的方式，也改變了大型小型企業進行多語言通訊的可及性，再次證明了在當今快速變化的環境中適應性強、敏捷的系統具有戰略重要性。

神經機器翻譯市場的關鍵細分洞察

神經機器翻譯市場呈現多樣化和多方面的細分，幫助相關人員更好地了解塑造產業的各個方面。從產品角度來看，市場已經從服務和軟體方面進行了徹底的分析，每個服務和軟體都代表著自己的成長動力和策略轉變。結果表明，專注於軟體可以使公司解決特定語言的細微差別，而基於服務的模式可以繼續提供以客戶為中心的客製化解決方案。

第二層細分是根據部署類型來決定的，市場分為雲端和本地框架。雖然雲端解決方案提供了靈活性、擴充性和與其他數位服務的輕鬆整合，但內部部署設定提供了更好的資料控制和安全性，通常受到大型企業和敏感行業的青睞。

根據公司規模分析，該行業分為大型公司和小型公司。較大的公司傾向於依賴強大的翻譯基礎設施來管理其全球分店的大量溝通需求，而較小的企業則擴大採用具有成本效益、擴充性的解決方案來適應其資源限制。

最後，按最終用戶類別進行細分可以涵蓋跨行業的廣泛應用。市場研究涉及航太和國防、汽車和運輸、BFSI、消費性電子、能源、醫療保健和醫療設備、IT 和通訊以及製造業等領域。每個行業都有獨特的語言處理要求，可以透過客製化的方法來解決行業特定的挑戰、保持業務效率並確保法規遵循。

目錄

第 1 章 簡介

第2章調查方法

第3章執行摘要

第4章 市場概況

第5章 市場洞察

  • 市場動態
    • 驅動程式
      • 全球化商業環境中對即時語言翻譯解決方案的需求日益增加
      • 網路的普及和數位素養的擴展正在增加對語言技能的需求。
    • 限制因素
      • 神經機器翻譯相關的高實施與維護成本
    • 機會
      • 人工智慧和深度學習的不斷創新提高了機器翻譯的品質和準確性。
      • 電子商務和線上內容的擴展推動了對多語言客戶支援的需求。
    • 任務
      • 與神經機器翻譯相關的資料隱私問題
  • 市場區隔分析
    • 功能：擴大採用神經機器翻譯解決方案來實現高品質的即時語言翻譯
    • 最終用戶：利用 IT 和通訊的神經機器翻譯來在地化軟體、支援內容和使用者介面。
  • 波特五力分析
  • PESTEL 分析
    • 政治的
    • 經濟
    • 社會
    • 技術的
    • 合法的
    • 環境

第6章 神經機器翻譯市場（依產品）

  • 服務
  • 軟體

第 7 章 神經機器翻譯市場（依部署模式）

  • 在雲端
  • 本地

第 8 章神經機器翻譯市場（依公司規模）

  • 大型企業
  • 中小企業

第 9 章 神經機器翻譯市場（依最終使用者）

  • 航太和國防
  • 汽車與運輸
  • BFSI
  • 家電
  • 能源
  • 醫療保健和醫療設備
  • 資訊科技和通訊
  • 製造業

第 10 章美洲神經機器翻譯市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

11.亞太地區神經機器翻譯市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

12. 歐洲、中東和非洲神經機器翻譯市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第13章 競爭格局

  • 2024 年市場佔有率分析
  • FPNV 定位矩陣，2024 年
  • 競爭情境分析
  • 戰略分析與建議

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-14332CB03486

The Neural Machine Translation Market was valued at USD 286.08 million in 2024 and is projected to grow to USD 324.25 million in 2025, with a CAGR of 14.14%, reaching USD 632.61 million by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 286.08 million
Estimated Year [2025] USD 324.25 million
Forecast Year [2030] USD 632.61 million
CAGR (%) 14.14%

Neural Machine Translation (NMT) has fundamentally reshaped the way languages interact in our digital world. It represents a significant departure from traditional methods, harnessing deep learning algorithms that enable smoother, context-aware translations. With rapid advancements in artificial intelligence and machine learning, NMT is no longer just a buzzword but a transformative technology that is redefining communication across the globe.

In this comprehensive overview, we explore the innovative trends that propel this sector forward, the distinct market segmentation patterns that reveal varied applications, as well as detailed regional and company perspectives that underscore its dynamic growth. A clear understanding of these multifaceted aspects is crucial for stakeholders looking to leverage emerging opportunities and navigate potential challenges in the industry.

Drawing on current data trends and technological breakthroughs, this introduction sets the stage for an in-depth analysis of the shifts in the landscape, segmentation insights based on offerings, deployment models, enterprise sizes, and end-user industries. The discussion is designed to provide both industry veterans and decision-makers with an authoritative guide to the state of neural machine translation today.

Transformative Shifts in the Neural Machine Translation Landscape

Recent years have witnessed transformative shifts that are rapidly altering the neural machine translation ecosystem. Technological advancements have not only improved translation accuracy but have also expanded the scope and depth of applications. State-of-the-art neural networks now offer seamless, context-rich translations, providing unprecedented precision and natural language processing capabilities.

The industry is undergoing a metamorphosis driven by the exponential growth in computing power, the integration of cloud-based platforms, and the relentless push towards automation. As companies invest heavily in AI-driven solutions, these transformative trends facilitate improved scalability, lower latency, and enhanced support for multilingual content across digital platforms.

Moreover, evolving consumer demands and the need for global connectivity are stimulating innovations that blur the lines between traditional machine translation and advanced neural approaches. The emergence of hybrid solutions and enhanced real-time processing capabilities further cement the industry's dynamic character. This shift not only revolutionizes how translations are performed but it also transforms the accessibility of multilingual communication for enterprises big and small, reiterating the strategic importance of adaptive, agile systems in today's rapidly changing environment.

Key Segmentation Insights from Neural Machine Translation Markets

The neural machine translation market demonstrates a diverse and multi-faceted segmentation that helps stakeholders better understand the various dimensions shaping the industry. From an offering standpoint, the market is thoroughly analyzed with respect to services and software, each representing unique growth drivers and strategic shifts. Insights reveal that a dedicated focus on software has enabled companies to address specific language nuances, while service-based models continue to offer tailored, customer-centric solutions.

A second layer of segmentation is discerned through the deployment mode, where the market is segmented into on-cloud and on-premise frameworks. Each approach presents different operational advantages: on-cloud solutions offer flexibility, scalability, and easy integration with other digital services, while on-premise setups provide enhanced data control and security, often preferred by large-scale enterprises and sensitive industries.

When analyzing enterprise size, the field is segmented by large enterprises versus small and medium-sized enterprises. Large corporations tend to leverage robust translation infrastructures to manage wide-ranging communication needs across global branches, while SMEs are gradually adopting cost-effective and scalable solutions that align with their resource constraints.

Finally, segmentation by end-user categories captures the breadth of applications across industries. The market is meticulously studied across sectors spanning Aerospace & Defense, Automotive & Transportation, BFSI, Consumer Electronics, Energy, Healthcare & Medical Devices, IT & Telecommunications, and Manufacturing. Each of these segments has specific language processing requirements, and the tailored approaches help organizations meet industry-specific challenges, maintain operational efficiency, and ensure regulatory compliance.

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

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 Insights Driving the Global Neural Machine Translation Market

The regional dynamics of neural machine translation underscore a vibrant global landscape characterized by diverse adoption rates and localized innovations. The Americas, known for its technological prowess and substantial investments in artificial intelligence, continue to lead in the development and integration of neural translation solutions. In this region, a combination of well-established tech ecosystems and advanced infrastructure fosters significant breakthroughs.

Europe, Middle East & Africa form another critical triad where varying regulatory environments and multilingual nations create unique opportunities for tailored translation technologies. Innovations in these regions are largely propelled by the need for robust, secure, and privacy-focused solutions, in turn, driving continuous research and development.

Meanwhile, Asia-Pacific is emerging as a competitive powerhouse with rapid digital transformation processes and a substantial focus on technological advancements. The growing appetite for automation combined with rapid urbanization and expansion in digital economies in this region fuels the demand for efficient and precise translation systems. Each region's distinct priorities and cultural contexts contribute to a rich tapestry of technological evolution, ensuring that neural machine translation remains at the forefront of bridging diverse linguistic and cultural divides.

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.

In-Depth Analysis of Key Companies Driving Innovation

At the crux of neural machine translation innovation are several pioneering companies that have consistently pushed the envelope of technology and service delivery. Among the notable players, AISA Digital and Alibaba Cloud International have been instrumental in developing robust translation architectures that integrate seamlessly with broader digital ecosystems. Giants like Amazon Web Services, Inc. and Google LLC have leveraged their expansive cloud infrastructures to deliver scalable and high-performance translation solutions that cater to a myriad of industry requirements.

Furthermore, companies such as AppTek.ai, DeepL SE, and IBM Corporation exemplify the convergence of advanced algorithic modeling with practical deployment, making significant strides in accuracy and real-time processing capabilities. The contributions of LILT Inc. and Lionbridge Technologies, LLC. have also been significant in bridging global language gaps and customizing solutions according to specific enterprise needs. Emerging players like MarsTranslation, Meta Platforms Inc., and Microsoft Corporation inject fresh perspectives into the market, driving competitive innovation.

Not to be overlooked, Pangeanic, PROMT, and Reverso have concentrated on refining user experience through natural language understanding and encompassing the subtleties of linguistic variances. RWS Holdings PLC, SAP SE, and Smartling, Inc. have built comprehensive suites that manage content, ensuring consistency and contextual harmony. Technical innovators such as SYSTRAN, Tencent Cloud, and TextUnited GmbH bring critical hardware and software synergy to the table, which is further complemented by TransPerfect Global, Inc., Unbabel Inc., XL8 Inc., and YANDEX LLC. These companies, through their relentless focus on innovation and customer-centric design, have set new benchmarks, rendering the neural machine translation landscape more competitive and continuously evolving.

The report delves into recent significant developments in the Neural 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 in Neural Machine Translation

To remain competitive and capitalize on the ongoing evolution in neural machine translation, industry leaders must consider a multi-dimensional strategy that addresses both present challenges and future opportunities. Embracing a holistic approach begins with investing in infrastructure that supports both on-cloud and on-premise deployment modes. Such dual capability can ensure that companies can flexibly scale operations according to shifting market demands and data security requirements.

Leaders should also consider adopting a hybrid business model that balances the strengths of both service-based and software-driven offerings. By doing so, companies can harness the analytical power of advanced neural networks while also delivering tailored, human-centric translation support.

Given the segmented nature of the market by enterprise size and end-user category, decision-makers ought to customize solutions to the specific needs of each client segment. For large enterprises, the focus should be on integrating robust, end-to-end translation platforms that can manage complex, global operations. Conversely, for small and medium-sized enterprises, scalable and cost-effective solutions can facilitate seamless integration without significant capital investment. This nuanced approach ensures that investments yield maximum impact by aligning technological capabilities with customer expectations.

Additionally, continuous monitoring of regional market trends is crucial. Understanding unique cultural nuances and regulatory frameworks in key regions like the Americas, Europe, Middle East & Africa, and Asia-Pacific can provide insights into localized challenges and opportunities. Investing in localized R&D initiatives can further tailor offerings to diverse market conditions while ensuring compliance with regional standards.

Finally, fostering partnerships with leading technology providers, academic institutions, and industry consortia can amplify innovation. Such collaborations can spur the development of cutting-edge algorithms, foster talent exchange, and streamline the translation of academic research into market-ready solutions. This integrated strategy will not only fortify current operations but also position industry leaders to anticipate and pioneer future trends.

Conclusion: Navigating the Future of Neural Machine Translation

In conclusion, the evolution of neural machine translation reflects a broader trend toward intelligent, context-aware processing capabilities that are reshaping global communication. The comprehensive analysis presented here underscores the importance of understanding the transformative shifts that have fundamentally altered the market landscape, enabling organizations to remain agile and responsive to rapid technological change.

By examining segmentation insights that span offerings, deployment modes, enterprise sizes, and a diverse array of end-user industries, it becomes evident that tailored solutions are paramount. The detailed regional insights further highlight how cultural and regulatory disparities impact technology adoption, paving the way for significant regional differentiation in market strategies.

The in-depth scrutiny of leading companies reveals a competitive ecosystem where innovation is driven by both established giants and emerging disruptors. This confluence of diverse players establishes a dynamic environment that continually refines and redefines the boundaries of translation technologies.

Importantly, actionable recommendations for industry leaders stress the need for strategic investments in infrastructure and technology, marking a pathway for sustainable growth. Embracing these insights can assist decision-makers in optimizing operations, enhancing customer engagement, and ultimately securing a leadership position in the fast-evolving digital economy.

The insights provided in this summary are geared toward empowering companies to make informed decisions, optimize their translation strategies, and lead the way in an increasingly interconnected global market. Moving forward, the combined influence of technological advances, market segmentation, and regional variations will serve as the cornerstone for future innovations in neural machine translation.

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. Growing demand for real-time language translation solutions in the globalized business landscape
      • 5.1.1.2. Expanding internet penetration and digital literacy fostering demand for language technologies
    • 5.1.2. Restraints
      • 5.1.2.1. High costs of implementation and maintenance associated with neural machine translation
    • 5.1.3. Opportunities
      • 5.1.3.1. Ongoing innovations in AI and deep learning enhancing the quality and accuracy of machine translation
      • 5.1.3.2. Expanding e-commerce and online content driving the need for multilingual customer support
    • 5.1.4. Challenges
      • 5.1.4.1. Data privacy concerns associated with neural machine translation
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Offering: Rising adoption of neural machine translation solutions for high-quality and real-time language translation
    • 5.2.2. End-User: Utilization of neural machine translation across IT & telecommunications to localize software, support content, and user interfaces
  • 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. Neural Machine Translation Market, by Offering

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

7. Neural Machine Translation Market, by Deployment Mode

  • 7.1. Introduction
  • 7.2. On-cloud
  • 7.3. On-premise

8. Neural Machine Translation Market, by Enterprise Size

  • 8.1. Introduction
  • 8.2. Large Enterprises
  • 8.3. Small & Medium-sized Enterprises

9. Neural Machine Translation Market, by End-User

  • 9.1. Introduction
  • 9.2. Aerospace & Defense
  • 9.3. Automotive & Transportation
  • 9.4. BFSI
  • 9.5. Consumer Electronics
  • 9.6. Energy
  • 9.7. Healthcare & Medical Devices
  • 9.8. IT & Telecommunications
  • 9.9. Manufacturing

10. Americas Neural Machine Translation Market

  • 10.1. Introduction
  • 10.2. Argentina
  • 10.3. Brazil
  • 10.4. Canada
  • 10.5. Mexico
  • 10.6. United States

11. Asia-Pacific Neural Machine Translation Market

  • 11.1. Introduction
  • 11.2. Australia
  • 11.3. China
  • 11.4. India
  • 11.5. Indonesia
  • 11.6. Japan
  • 11.7. Malaysia
  • 11.8. Philippines
  • 11.9. Singapore
  • 11.10. South Korea
  • 11.11. Taiwan
  • 11.12. Thailand
  • 11.13. Vietnam

12. Europe, Middle East & Africa Neural Machine Translation Market

  • 12.1. Introduction
  • 12.2. Denmark
  • 12.3. Egypt
  • 12.4. Finland
  • 12.5. France
  • 12.6. Germany
  • 12.7. Israel
  • 12.8. Italy
  • 12.9. Netherlands
  • 12.10. Nigeria
  • 12.11. Norway
  • 12.12. Poland
  • 12.13. Qatar
  • 12.14. Russia
  • 12.15. Saudi Arabia
  • 12.16. South Africa
  • 12.17. Spain
  • 12.18. Sweden
  • 12.19. Switzerland
  • 12.20. Turkey
  • 12.21. United Arab Emirates
  • 12.22. United Kingdom

13. Competitive Landscape

  • 13.1. Market Share Analysis, 2024
  • 13.2. FPNV Positioning Matrix, 2024
  • 13.3. Competitive Scenario Analysis
    • 13.3.1. Lara redefining machine translation with contextual understanding and professional-grade precision
    • 13.3.2. Matecat integrates ModernMT for adaptive neural machine translation
    • 13.3.3. ChapsVision transforms data processing landscape with strategic acquisition of translation pioneer SYSTRAN
  • 13.4. 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. NEURAL MACHINE TRANSLATION MARKET MULTI-CURRENCY
  • FIGURE 2. NEURAL MACHINE TRANSLATION MARKET MULTI-LANGUAGE
  • FIGURE 3. NEURAL MACHINE TRANSLATION MARKET RESEARCH PROCESS
  • FIGURE 4. NEURAL MACHINE TRANSLATION MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY OFFERING, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY ENTERPRISE SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL NEURAL MACHINE TRANSLATION MARKET SIZE, BY END-USER, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. AMERICAS NEURAL MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 17. AMERICAS NEURAL MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. UNITED STATES NEURAL MACHINE TRANSLATION MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 19. UNITED STATES NEURAL MACHINE TRANSLATION MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. ASIA-PACIFIC NEURAL MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 21. ASIA-PACIFIC NEURAL MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA NEURAL MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 23. EUROPE, MIDDLE EAST & AFRICA NEURAL MACHINE TRANSLATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. NEURAL MACHINE TRANSLATION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 25. NEURAL MACHINE TRANSLATION MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

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