Machine Translation Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032

  • Report ID: ME_00125463
  • Format: Electronic (PDF)
  • Publish Type: Publish
  • Number of Pages: 250
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Market Snapshot

CAGR:8.42
2023
2032

Source: Market Expertz

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Study Period 2019-2032
Base Year 2023
Forcast Year 2023-2032
CAGR 8.42
Information & Technology-companies
Information & Technology-Snapshot

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Report Overview

The Machine Translation Market is projected to grow at a CAGR of 15.72% between 2022 and 2032. The market size is forecast to increase by USD 6,942.87 million during this period. The growth of the Machine Translation Market is driven by the increasing globalization of businesses, the rise in multilingual content, and advancements in natural language processing technologies.

Market Overview:

Drivers:

The Machine Translation Market is experiencing growth due to the demand for real-time translation solutions to facilitate cross-border communication. Machine translation technology enables organizations to interact with customers and partners across language barriers.

Moreover, the adoption of e-commerce and digital content platforms is driving market demand. Machine translation solutions enhance user experience by providing accurate and localized content.

Trends:

The adoption of neural machine translation (NMT) models and deep learning techniques is a prominent trend. NMT improves translation quality and fluency by analyzing the context of sentences.

Furthermore, the integration of machine translation into business applications and customer support systems is influencing the market. Machine translation APIs and plugins enable seamless translation within various software platforms.

Restraints:

Challenges related to accuracy and cultural nuances in translation can restrain market growth. Machine translation may struggle with idiomatic expressions, context-dependent phrases, and maintaining cultural sensitivity.

Additionally, concerns about data privacy and security in cloud-based machine translation services can impact adoption. Organizations must ensure the protection of sensitive information during the translation process.

Machine Translation Market Segmentation by Technology:

The Neural Machine Translation (NMT) segment is expected to witness significant growth during the forecast period. NMT models offer improved translation quality and better handling of complex language structures.

Machine Translation Market Segmentation by Application:

The content localization segment is anticipated to experience strong growth in the Machine Translation Market. Machine translation solutions are widely used to adapt content for different languages and cultures.

Regional Overview:


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North America is expected to lead the global Machine Translation Market, driven by the region's diverse population, the presence of global enterprises, and technological innovation.

Moreover, the Asia Pacific (APAC) region is projected to experience substantial growth as businesses in the region expand internationally and require efficient language translation solutions.

Machine Translation Market Customer Landscape:

The report includes insights into the customer landscape, identifying industries and sectors that extensively use machine translation solutions. It outlines customer requirements, such as translation accuracy, integration capabilities, and support for multiple languages.

Major Machine Translation Market Companies:

Companies in the Machine Translation Market are adopting strategies such as partnerships, acquisitions, and technological advancements to strengthen their market position.

Sample companies in the Machine Translation Market include:

  • Google LLC
  • Microsoft Corporation
  • Amazon Web Services, Inc.
  • IBM Corporation
  • SDL plc
  • SYSTRAN International
  • Lionbridge Technologies, Inc.
  • AppTek
  • PROMT Ltd.
  • Smartling, Inc.

Segment Overview:

The Machine Translation Market report provides revenue forecasts at global, regional, and country levels, analyzing trends and opportunities from 2019 to 2032.

  • Technology Outlook (USD Million, 2019 - 2032)
    • Rule-Based Machine Translation
    • Statistical Machine Translation
    • Neural Machine Translation (NMT)
    • Hybrid Machine Translation
    • Others
  • Application Outlook (USD Million, 2019 - 2032)
    • Language Translation
    • Content Localization
    • Customer Support
    • E-commerce
    • Others
  • Geography Outlook (USD Million, 2019 - 2032)
    • North America
      • The U.S.
      • Canada
    • Europe
      • U.K.
      • Germany
      • France
      • Rest of Europe
    • APAC
      • China
      • Japan
    • South America
      • Brazil
      • Argentina
      • Rest of South America
    • Middle East & Africa
      • UAE
      • South Africa
      • Rest of Middle East & Africa

TABLE OF CONTENTS: GLOBAL Machine Translation MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition   

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. Machine Translation MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. Machine Translation Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

    4.5.1. Power Of Suppliers

    4.5.2. Power Of Buyers

    4.5.3. Threat Of Substitutes

    4.5.4. Threat Of New Entrants

    4.5.5. Competitive Rivalry

Chapter 5. Machine Translation MARKET BY Deployment landscape

SIGHTS & TRENDS                                                               

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2 Cloud based

    5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3 On-premise

    5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. Machine Translation MARKET BY technology INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2 Statistical Machine Translation

    6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3 Rule-based Machine Translation

    6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.4 Neural Machine Translation

    6.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. Machine Translation MARKET REGIONAL OUTLOOK

7.1. Machine Translation Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

    7.2.1. North America Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.2. North America Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.3. North America Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.4. North America Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

    7.2.5.1. U.S. Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.5.2. U.S. Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.5.3. U.S. Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.5.4. U.S. Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

    7.2.6.1. Canada Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.6.2. Canada Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.6.3. Canada Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.6.4. Canada Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

    7.3.1. Europe Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.2. Europe Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.3. Europe Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.4. Europe Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

    7.3.5.1. Germany Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.5.2. Germany Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.5.3. Germany Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.5.4. Germany Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

    7.3.6.1. France Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.6.2. France Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.6.3. France Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.6.4. France Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

    7.3.7.1. U.K. Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.7.2. U.K. Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.7.3. U.K. Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.7.4. U.K. Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

    7.4.1. Asia Pacific Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.2. Asia Pacific Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.3. Asia Pacific Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.4. Asia Pacific Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

 7.4.5. CHINA

     7.4.5.1. China Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.5.2. China Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.5.3. China Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.5.4. China Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

     7.4.6.1. India Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.6.2. India Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.6.3. India Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.6.4. India Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

     7.4.7.1. Japan Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.7.2. Japan Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.7.3. Japan Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.7.4. Japan Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

    7.4.8.1. Australia Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.8.2. Australia Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.8.3. Australia Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.8.4. Australia Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

    7.5.1. Mea Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.5.2. Mea Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.5.3. Mea Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.5.4. Mea Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

     7.6.1. Latin America Machine Translation Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.6.2. Latin America Machine Translation Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.6.3. Latin America Machine Translation Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.6.4. Latin America Machine Translation Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

    7.6.5. Latin America Machine Translation Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

    8.2.1. New Product Launches

    8.2.2. Investment & Expansion

    8.2.3. Acquisitions

    8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

     8.3.1. North American Suppliers

     8.3.2. European Suppliers

     8.3.3. Asia-Pacific Suppliers

     8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1 IBM Corporation

    9.1.1. Company Overview

    9.1.2. Financial Performance

    9.1.3. Product Insights

    9.1.4. Strategic Initiatives

9.2 Microsoft Corporation

    9.2.1. Company Overview

    9.2.2. Financial Performance

    9.2.3. Product Insights

    9.2.4. Strategic Initiatives

9.3 SDL PLC

    9.3.1. Company Overview

    9.3.2. Financial Performance

    9.3.3. Product Insights

    9.3.4. Strategic Initiatives

9.4 Lionbridge Technologies

    9.4.1. Company Overview

    9.4.2. Financial Performance

    9.4.3. Product Insights

    9.4.4. Strategic Initiatives

9.5 Omniscien Technologies Inc

    9.5.1. Company Overview

    9.5.2. Financial Performance

    9.5.3. Product Insights

    9.5.4. Strategic Initiatives

9.6 Company 6

    9.6.1. Company Overview

    9.6.2. Financial Performance

    9.6.3. Product Insights

    9.6.4. Strategic Initiatives

9.7 Company 7

   9.7.1. Company Overview

    9.7.2. Financial Performance

    9.7.3. Product Insights

    9.7.4. Strategic Initiatives

9.8 Company 8

    9.8.1. Company Overview

    9.8.2. Financial Performance

    9.8.3. Product Insights

    9.8.4. Strategic Initiatives

9.9 Company 9

    9.9.1. Company Overview

    9.9.2. Financial Performance

    9.9.3. Product Insights

    9.9.4. Strategic Initiatives

9.10 Company 10

    9.10.1. Company Overview

    9.10.2. Financial Performance

    9.10.3. Product Insights

    9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

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