Status : Published Published On : Feb, 2023 Report Code : VRICT5152 Industry : ICT & Media Available Format : Page : 190
2025
2030

Global Machine Translation Market - Analysis and Forecast (2025-2030)

Industry Insights by Technology (Statistical Machine Translation [SMT], Rule-based Machine Translation [RBMT], Neural Machine Translation [NMT], Others), by Deployment Type (On-Premises, Cloud), by Application (Military & Defense, Healthcare & Life Sciences, Automotive, Travel & Hospitality, Legal & Law Firms, Banking & Finance, Electronics, IT & Telecom Services, Retail & Manufacturing, Media & Entertainment, Others)

Industry Overview

The Global Machine Translation Market was valued at USD 1.1 billion in 2023 and is predicted to reach USD 3.3 billion by 2030, growing at a CAGR of 7.8% during the forecast period. The factors responsible for the growth of machine translation across the globe are the increasing volume of big data all over the internet, the increasing popularity of cloud-based applications, and the increase in the number of students undertaking higher education courses abroad.

Machine Translation Market Highlights

Market Segmentation

Insight by Technology

Based on Technology, the global machine translation market is categorized into statistical machine translation (SMT), rule-based machine translation (RBMT), neural machine translation (NMT), and Others. In 2022, the SMT technology segment dominated the machine translation market. The high market share of the category is due to the offers various benefits over other machine translation technologies in terms of customizability, community collaboration, resource requirement, and others. Benefits associated with SMT over other machine translation technologies, including RBMT, EBMT, and HMT, are helping towards acceptance of this technology.

Insight by Deployment Type

On the basis of deployment type, the global machine translation market is categorized into on-premises and cloud. During the forecast period, the on-premises machine translation market is expected to grow at a faster rate. The major factor driving the growth of the on-premises market is the increasing demand for on-premise machine translation systems from the corporate sector which requires high confidentiality.

Insight by Application

On the basis of application, the global machine translation market is categorized into military & defense, healthcare & life sciences, automotive, travel & hospitality, legal & law firms, banking & finance, electronics, it & telecom services, retail & manufacturing, media & entertainment, and others. During the forecast period, the retail & manufacturing category is expected to be the fastest-growing category. The major factor driving the growth of this category are increasing demand for machine translation among retailers to enhance their influence and sales across borders and implement a go-to-market strategy.

Global Machine Translation Market Report Coverage

Report Metric

Details

Historical Period

2018 - 2023

Base Year Considered

2024

Forecast Period

2025 - 2030

Market Size in 2023

U.S.D.  1.1 Billion

Revenue Forecast in 2030

U.S.D.  3.3 Billion

Growth Rate

7.8%

Segments Covered in the Report

By Technology, By Deployment Type, and By Application

Report Scope

Market Trends, Drivers, and Restraints; Revenue Estimation and Forecast; Segmentation Analysis; Impact of COVID-19; Companies’ Strategic Developments; Market Share Analysis of Key Players; Company Profiling

Regions Covered in the Report

North America, Europe, Asia-Pacific, Middle East, and Rest of the World

Industry Dynamics

Growth Drivers

The primary factors driving the growth of the global machine translation market are:

  • Increasing volume of big data all over the internet
  • Increasing popularity of cloud-based applications
  • Increase in the number of students undertaking higher education courses abroad

The machine translation (MT) industry is witnessing an expansion as a result of the emerging demand for content localization. Companies are finding more and more reasons to localize their products, applications, and websites. Companies worldwide recognize their attractiveness to the global marketplace and are looking forward to meeting the demands of customers outside their local market. Localization aids establishments to communicate with the target market in its language and integrate industry-specific aspects with the particular culture and develops a local appeal. A localization strategy is significant not only to recognize the demand for a company’s product in the target country but also to consider all the benefits and risks before making any decision. Further, it enables organizations to develop effective marketing campaigns, as the best marketing campaign becomes useless without good localization. Some organizations are not able to reach their full potential, simply due to the lack of localization, as their target audience does not understand what they want to convey.

Machine Translation Software: This includes the development and licensing of machine translation software that can automatically translate text or speech from one language to another. These software solutions utilize various algorithms and models to generate translations.

Cloud-Based Machine Translation Services: Cloud-based machine translation services offer on-demand translation capabilities to users. These services provide scalable and accessible translation solutions, often through application programming interfaces (APIs) or software-as-a-service (SaaS) models.

Customization and Integration Services: Many organizations require machine translation systems that are tailored to their specific needs or integrated with their existing workflows or software. Companies in the machine translation market offer customization and integration services to meet these requirements.

Challenges

Threats from free translation service providers may hinder the growth of the global machine translation market.

Geographic Overview

Geographically, North America is the largest revenue contributor in the machine translation market Growing demand for machine translation in the military and defense sectors will fuel growth for the machine translation market in the region.

Globally, Asia-Pacific is expected to emerge as the fastest-growing machine translation market during the forecast period (2025 – 2030). The growth of this market in the region is majorly due to the significant growth of overseas businesses, a large customer base, a rising number of high-net-worth individuals (HNWIs), growing income levels, and the presence of different languages in the region.

Competitive Insight

Key players operating in the global machine translation market include Microsoft Corporation, Baidu, Google LLC, Alibaba Cloud, Amazon, Systran International, International Business Machines Corporation (IBM), Lionbridge Technologies Inc., SDL Plc, and Honyaku Center Inc.

Forecast Parameters

  • Identifying variables and establishing market impact.
  • Establishing market trends regionally.
  • Analyzing opportunities and market penetration rates by understanding product commercialization, and regional expansion.
  • Analyzing demand and supply trends and changes in industry dynamics to establish future growth.
  • Analyzing sustainability strategies adhered to by market participants in an attempt to determine the future course of the market.
  • Analyzing historical market trends and super-imposing them on the current and future variables to determine year-on-year trends.
  • Understanding adoption, development, distribution, and regulatory framework.

Data Validation

  • Estimated and forecasted data was validated through industry experts.
  • Apart from industry experts, data triangulation methods were used for validation.
  • The bottom-up and top-down approach has been used for the estimation and forecast of market data, whereas the top-down approach was used for validation.
  • Demand, as well as supply side surveys, were conducted in order to understand the industry dynamics and data validation.

Research Phases

Machine Translation Market Research Phase

Primary Research

VynZ Research conducts extensive primary research to understand the market dynamics, validate market data and have key opinions from the industry experts. The key profiles approached within the industry includes, CEO, CFO, CTO, President, Vice President, Product Managers, Regional Heads and Others. Also, end user surveys comprising of consumers are also conducted to understand consumer behavior.

The Machine Translation Market report offers a comprehensive market segmentation analysis along with an estimation for the forecast period 2025–2030.

Segments Covered in the Report

  • By Technology
    • Statistical Machine Translation (SMT)
    • Rule-based Machine Translation (RBMT)
    • Neural Machine Translation (NMT)
    • Others
  • By Deployment Type
    • On-premises
    • Cloud
  • By Application
    • Military & Defence
    • Healthcare & Lifesciences
    • Automotive
    • Travel & Hospitality
    • Legal & Law Firms
    • Banking & Finance
    • Electronics
    • IT & Telecom Services
    • Retail & Manufacturing
    • Media & Entertainment
    • Others

Region Covered in the Report

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • U.K.
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific (APAC)
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia-Pacific
  • Rest of the World (RoW)
    • Brazil
    • Saudi Arabia
    • South Africa
    • U.A.E.
    • Other Countries

Machine Translation Market Size

Source: VynZ Research

Machine Translation Market Analysis

Source: VynZ Research

Frequently Asked Questions

The material based segments are Technology, Deployment Type, Application, and Region
The key participants are Microsoft Corporation, Baidu, Google LLC, Alibaba Cloud, Amazon, Systran International, International Business Machines Corporation (IBM), Lionbridge Technologies Inc., SDL Plc, and Honyaku Center Inc.
The segments of the Machine Translation market based on application are military & defense, healthcare & life sciences, automotive, travel & hospitality, legal & law firms, banking & finance, electronics, it & telecom services, retail & manufacturing, media & entertainment, and others.
On the basis of deployment type, the global machine translation market is categorized into on-premises, and cloud
The Machine Translation market is projected to register a 7.8% CAGR during the forecast period 2023-2030.

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Research Methodology

  •  Desk Research / Pilot Interviews
  •  Build Market Size Model
  •  Research and Analysis
  •  Final Deliverabvle

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