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機械翻訳産業レポート：2030年までの動向、予測、競合分析

Machine Translation Industry Report: Trends, Forecast and Competitive Analysis to 2030
出版日: | 発行: Lucintel | ページ情報: 英文 150 - page report | 納期: 3営業日

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機械翻訳産業レポート：2030年までの動向、予測、競合分析
出版日: 2024年01月29日
発行: Lucintel
ページ情報: 英文 150 - page report
納期: 3営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
  • 全表示
  • 概要
  • 目次
概要

機械翻訳産業の動向と予測

世界の機械翻訳産業市場の将来は、自動車、BFSI、eコマース、エレクトロニクス、ヘルスケア、IT・通信、軍事・防衛の各市場における機会によって有望視されています。世界の機械翻訳産業市場は、2024年から2030年までのCAGRが10.5%で、2030年までに推定12億5,400万米ドルに達すると予想されています。この市場の主な促進要因は、企業におけるマーケティング戦略やコンテンツのローカライゼーションに対する急速な需要、コミュニケーションを円滑にするための機械翻訳産業のニーズの高まり、インターネットの利用拡大と経費節減に対する要求の高まりです。

機械翻訳産業業界市場の洞察

Lucintelの予測によると、予測期間中に最も高い成長が見込まれるのは構内市場です。

この市場において、自動車は引き続き最大のセグメントです。

アジア太平洋地域は、中国や日本など、母国語を話さない人口が多い国で機械翻訳の導入が進んでいるため、予測期間中に最も高い成長が見込まれています。

よくある質問

Q.1機械翻訳産業の市場規模はどのくらいですか？

A1.世界の機械翻訳産業市場は、2030年までに推定12億5,400万米ドルに達すると予想されています。

Q.2機械翻訳産業市場の成長予測は？

A2.世界の機械翻訳産業市場は、2024年から2030年にかけてCAGR 10.5%で成長すると予測されています。

Q.3機械翻訳産業市場の成長に影響を与える主な促進要因は何ですか？

A3.この市場の主な促進要因は、企業におけるマーケティング戦略やコンテンツのローカライズに対する急速な需要、コミュニケーションを円滑にするための機械翻訳のニーズの高まり、インターネットの利用拡大と経費節減に対する要求の高まりです。

Q4.市場の主要セグメントは？

A4.機械翻訳産業市場の将来は、自動車、BFSI、eコマース、エレクトロニクス、ヘルスケア、IT・通信、軍事・防衛の各市場における機会により、有望視されています。

Q5.市場の主要企業は？

A5.機械翻訳産業の主要企業は以下の通りです。

  • AWS
  • Google
  • IBM Corporation
  • Microsoft Corporation
  • Systran International
  • Lionbridge Technologies
  • Welocalize

Q6.今後、最大となる市場セグメントは？

A6.Lucintelの予測では、オンプレミスが予測期間中に最も高い成長を遂げる見込みです。

Q7.市場において、今後5年間に最大になると予想される地域は？

A7.アジア太平洋地域は、中国や日本のような非ネイティブスピーカーの人口が多い国で機械翻訳の導入が進んでいるため、予測期間中に最も高い成長が見込まれています。

Q8.レポートのカスタマイズは可能？

A8.はい、Lucintelは追加費用なしで10％のカスタマイズを提供します。

目次

第1章 エグゼクティブサマリー

第2章 世界の機械翻訳産業市場：市場力学

  • イントロダクション、背景、分類
  • サプライチェーン
  • 業界の促進要因と課題

第3章 2018年から2030年までの市場動向と予測分析

  • マクロ経済動向（2018～2023年）と予測（2024～2030年）
  • 世界の機械翻訳産業市場動向（2018-2023）と予測（2024-2030）
  • テクノロジー別の世界の機械翻訳市場
    • 統計的機械翻訳
    • ルールベースの機械翻訳
    • ニューラル機械翻訳
    • ハイブリッド機械翻訳
    • 用例ベースの機械翻訳
  • 導入モード別の世界の機械翻訳市場
    • オンプレミス
    • クラウド
  • アプリケーション別の世界の機械翻訳市場
    • 自動車
    • BFSI
    • eコマース
    • エレクトロニクス
    • ヘルスケア
    • ITと通信
    • 軍事と防衛
    • その他

第4章 2018年から2030年までの地域別の市場動向と予測分析

  • 地域別の世界の機械翻訳産業市場
  • 北米の機械翻訳産業市場
  • 欧州の機械翻訳産業市場
  • アジア太平洋の機械翻訳産業市場
  • その他地域の機械翻訳産業市場

第5章 競合の分析

  • 製品ポートフォリオ分析
  • 運用上の統合
  • ポーターのファイブフォース分析

第6章 成長機会と戦略的分析

  • 成長機会分析
    • テクノロジー別の世界の機械翻訳産業市場の成長機会
    • 導入モード別の世界の機械翻訳産業市場の成長機会
    • アプリケーション別の世界の機械翻訳産業市場の成長機会
    • 世界の機械翻訳産業市場地域の成長機会
  • 世界の機械翻訳産業市場の新たな動向
  • 戦略的分析
    • 新製品の開発
    • 世界の機械翻訳産業市場の能力拡大
    • 世界の機械翻訳産業市場における合併、買収、合弁事業
    • 認証とライセンシング

第7章 有力企業の企業プロファイル

  • AWS
  • Google
  • IBM Corporation
  • Microsoft Corporation
  • Systran International
  • Lionbridge Technologies
  • Welocalize
目次

Machine Translation Industry Trends and Forecast

The the future of the global machine translation market looks promising with opportunities in the automotive, BFSI, e-commerce, electronics, healthcare, IT & telecommunications, and military & defense markets. The global machine translation market is expected to reach an estimated $1254.0 million by 2030 with a CAGR of 10.5% from 2024 to 2030. The major drivers for this market are rapid demand for the localization of marketing strategies & content among businesses, growing need for machine translation to facilitate communication, and growing usage of the internet and the growing requirement to save expenses.

A more than 150-page report is developed to help in your business decisions.

Machine Translation Industry by Segment

The study includes a forecast for the global machine translation industry by technology, deployment mode, application, and region

Machine Translation Market by Technology [Shipment Analysis by Value from 2018 to 2030]:

  • Statistical Machine Translation
  • Rule-based Machine Translation
  • Neural Machine Translation
  • Hybrid Machine Translation
  • Example-based Machine Translation

Machine Translation Market by Deployment Mode [Shipment Analysis by Value from 2018 to 2030]:

  • On-Premises
  • Cloud

Machine Translation Market by Application [Shipment Analysis by Value from 2018 to 2030]:

  • Automotive
  • BFSI
  • E-commerce
  • Electronics
  • Healthcare
  • IT & Telecommunications
  • Military & Defense
  • Others

Machine Translation Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Machine Translation Industry Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies machine translation industry companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the machine translation industry companies profiled in this report include-

  • AWS
  • Google
  • IBM Corporation
  • Microsoft Corporation
  • Systran International
  • Lionbridge Technologies
  • Welocalize

Machine Translation Market Insights

Lucintel forecast that on premises is expected to witness highest growth over the forecast period.

Within this market, automotive will remain the largest segment.

Asia Pacific is expected to witness highest growth over the forecast period due to growing adoption of machine translation in countries like China and Japan that have large populations of non-native speakers.

Features of the Global Machine Translation Market

Market Size Estimates: Machine translation market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Machine translation market size by technology, deployment mode, application, and region in terms of value ($B).

Regional Analysis: Machine translation market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different technology, deployment mode, application, and regions for the machine translation market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the machine translation market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q.1 What is the machine translation market size?

Answer: The global machine translation market is expected to reach an estimated $1254.0 million by 2030.

Q.2 What is the growth forecast for machine translation market?

Answer: The global machine translation market is expected to grow with a CAGR of 10.5% from 2024 to 2030.

Q.3 What are the major drivers influencing the growth of the machine translation market?

Answer: The major drivers for this market are rapid demand for the localization of marketing strategies & content among businesses, growing need for machine translation to facilitate communication, and growing usage of the internet and the growing requirement to save expenses.

Q4. What are the major segments for machine translation market?

Answer: The future of the machine translation market looks promising with opportunities in the automotive, BFSI, e-commerce, electronics, healthcare, IT & telecommunications, and military & defense markets.

Q5. Who are the key Machine Translation Market companies?

Answer: Some of the key machine translation industry companies are as follows.

  • AWS
  • Google
  • IBM Corporation
  • Microsoft Corporation
  • Systran International
  • Lionbridge Technologies
  • Welocalize

Q6. Which machine translation market segment will be the largest in future?

Answer: Lucintel forecast that on premises is expected to witness highest growth over the forecast period.

Q7. In machine translation market, which region is expected to be the largest in next 5 years?

Answer: Asia Pacific is expected to witness highest growth over the forecast period due to growing adoption of machine translation in countries like China and Japan that have large populations of non-native speakers.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the machine translation market by technology (statistical machine translation, rule-based machine translation, neural machine translation, hybrid machine translation, and example-based machine translation), deployment mode (on-premise and cloud), application (automotive, BFSI, e-commerce, electronics, healthcare, IT & telecommunications, military & defense, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Machine Translation Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Machine Translation Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Machine Translation Market by Technology
    • 3.3.1: Statistical Machine Translation
    • 3.3.2: Rule-based Machine Translation
    • 3.3.3: Neural Machine Translation
    • 3.3.4: Hybrid Machine Translation
    • 3.3.5: Example-based Machine Translation
  • 3.4: Global Machine Translation Market by Deployment Mode
    • 3.4.1: On-Premises
    • 3.4.2: Cloud
  • 3.5: Global Machine Translation Market by Application
    • 3.5.1: Automotive
    • 3.5.2: BFSI
    • 3.5.3: E-commerce
    • 3.5.4: Electronics
    • 3.5.5: Healthcare
    • 3.5.6: IT & Telecommunications
    • 3.5.7: Military & Defense
    • 3.5.8: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Machine Translation Market by Region
  • 4.2: North American Machine Translation Market
    • 4.2.1: North American Machine Translation Market by Deployment Mode: On-Premises, Cloud
    • 4.2.2: North American Machine Translation Market by Application: Automotive, BFSI, E-commerce, Electronics, Healthcare, IT & Telecommunications, Military & Defense, Others
  • 4.3: European Machine Translation Market
    • 4.3.1: European Machine Translation Market by Deployment Mode: On-Premises, Cloud
    • 4.3.2: European Machine Translation Market by Application: Automotive, BFSI, E-commerce, Electronics, Healthcare, IT & Telecommunications, Military & Defense ,Others
  • 4.4: APAC Machine Translation Market
    • 4.4.1: APAC Machine Translation Market by Deployment Mode: On-Premises, Cloud
    • 4.4.2: APAC Machine Translation Market by Application: Automotive, BFSI, E-commerce, Electronics, Healthcare, IT & Telecommunications, Military & Defense, Others
  • 4.5: ROW Machine Translation Market
    • 4.5.1: ROW Machine Translation Market by Deployment Mode: On-Premises, Cloud
    • 4.5.2: ROW Machine Translation Market by Application: Automotive, BFSI, E-commerce, Electronics, Healthcare, IT & Telecommunications, Military & Defense, Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Machine Translation Market by Technology
    • 6.1.2: Growth Opportunities for the Global Machine Translation Market by Deployment Mode
    • 6.1.3: Growth Opportunities for the Global Machine Translation Market by Application
    • 6.1.4: Growth Opportunities for the Global Machine Translation Market Region
  • 6.2: Emerging Trends in the Global Machine Translation Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Machine Translation Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Machine Translation Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: AWS
  • 7.2: Google
  • 7.3: IBM Corporation
  • 7.4: Microsoft Corporation
  • 7.5: Systran International
  • 7.6: Lionbridge Technologies
  • 7.7: Welocalize