| Status : Published | Published On : Aug, 2021 | Report Code : VRICT5152 | Industry : ICT & Media | Available Format :
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Page : 170 |
Global Machine Translation Market - Analysis and Forecast (2022-2030)
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 640.0 million in 2021 and is predicted to reach USD 1,460.3 million by 2030, growing at a CAGR of 15% 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 increase in the number of students undertaking higher education courses abroad.
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 2021, 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 that 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.
Scope of the Report
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Report Metric |
Details |
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Market Size Available for the Years in the Study |
2018–2030 |
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Historical Period |
2018–2021 |
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Base Year |
2021 |
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Forecast Period |
2022–2030 |
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Segments Covered in the Study |
Technology, Deployment Type, Application, and Region |
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Geographies Covered in the Study |
North America (U.S., Canada, Mexico), Europe (Germany, U.K., France, Italy, Spain, Russia), Asia-Pacific (China, Japan, India, South Korea), and Rest of the World (Brazil, Saudi Arabia, South Africa, U.A.E.) |
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Companies Covered in the Study |
Microsoft Corporation, Baidu, Google LLC, Alibaba Cloud, Amazon, Systran International, International Business Machines Corporation (IBM), Lionbridge Technologies Inc., SDL Plc, and Honyaku Center Inc. |
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 emerging demand for content localization. Companies are finding more and more reasons to localize their products, applications, and websites. Companies world-wide recognize their attractiveness to the global market place and are looking forward to meet 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 of 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 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.
Major roadblocks to the implementation of localization include cost, speed, and quality of localization projects. MT helps to reduce the cost associated with translation and time-to-market, and is best relegated to huge volumes of content where exact translations are not required, such as user generated content and web chats. Though, due to uneven quality issues of MT, many establishments are using it as a first-pass translation tool followed by a human post-editing to maintain translation quality while keeping expenses relatively low. Establishments across the globe, are increasingly integrating MT tools and services to create a more successful impact on any local market
Challenges
Threat 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 military and defense sector will fuel growth for machine translation market in the region.
Globally, Asia-Pacific is expected to emerge as the fastest growing machine translation market during the forecast period (2020 – 2025). The growth of this market in region is majorly due to the significant growth of overseas businesses, large customer base, 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, regional expansion.
- Analyzing demand and supply trends and changes in industry dynamics to establish future growth.
- Analyzing sustainability strategies adhered by market participants in an attempt to determine future course of the market.
- Analyzing historical market trends and super-imposing them on the current and future variables to determine year-on-year trend.
- 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.
- Bottom up and top down approach has been used for estimation and forecast of market data, whereas 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
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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.
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Source: VynZ Research
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Source: VynZ Research
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Machine Translation Market