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    India AI Enabled Translation Services Market

    ID: MRFR/ICT/56912-HCR
    200 Pages
    Aarti Dhapte
    September 2025

    India AI-enabled Translation Services Market Research Report By Type (Online Service, Offline Service) and By Application (Large Enterprises, SMEs)- Forecast to 2035

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    India AI-Enabled Translation Services Market 
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    Table of Contents

    India AI Enabled Translation Services Market Summary

    The India AI-enabled Translation Services market is projected to grow significantly from 79.8 USD Million in 2024 to 540.0 USD Million by 2035.

    Key Market Trends & Highlights

    India AI-enabled Translation Services Key Trends and Highlights

    • The market is expected to achieve a compound annual growth rate (CAGR) of 18.98 percent from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 540.0 USD Million, indicating robust growth potential.
    • In 2024, the market is valued at 79.8 USD Million, reflecting the current demand for translation services in India.
    • Growing adoption of AI technology due to increasing globalization is a major market driver.

    Market Size & Forecast

    2024 Market Size 79.8 (USD Million)
    2035 Market Size 540.0 (USD Million)
    CAGR (2025-2035) 18.98%

    Major Players

    Unbabel, Gengo, Amazon, Google, Zoho, Microsoft, Systran, iTranslate, IBM

    India AI Enabled Translation Services Market Trends

    India AI-enabled Translation Services Market is expanding significantly due to a number of factors. The growing demand for efficient cross-linguistic communication in a linguistically varied nation like India, where more than 1,600 languages are spoken, is one of the main factors propelling the market. This rise is partly a result of the Government of India's efforts to advance e-governance and digital literacy, which push companies and organizations to use AI-enabled solutions to interact more effectively with a multilingual populace.

    The need for translation services is further increased by the growth of globalization and the entry of Indian companies into foreign markets, making artificial intelligence (AI) technology a key requirement for effective communication. 

    As more industries, like e-commerce, healthcare, and education, seek to integrate translation services into their operations, there is a lot of potential to investigate in this industry. Many Indian sectors will find the combination of AI and machine learning interesting since it may improve accuracy, expedite translation procedures, and shorten turnaround times. In order to attract clients looking for localized content, startups, and existing businesses should provide customized solutions that address regional languages and cultural quirks. 

    Recent trends point to a rise in interest in real-time translation technology, which supports the increased use of remote communication tools and video conferencing, particularly in the wake of the pandemic.Furthermore, social media and internet platforms are becoming more and more popular as channels for disseminating content, which need accurate translation in order to reach a larger audience. The potential for sophisticated translation solutions seems bright as companies continue to use AI breakthroughs, which might lead to a radical change in the way services are provided and seen in the Indian market.

    India AI-enabled Translation Services Market Drivers

    Surge in Digital Content Creation

    The increasing demand for digital content creation in India is one of the prominent drivers for the growth of the India AI-enabled Translation Services Market Industry. According to a survey conducted by the Internet and Mobile Association of India, internet users in India reached approximately 750 million in 2022, growing at a rate of 18% year-on-year. 

    This growing digital landscape has led to an upsurge in content that requires translation across multiple languages.Major companies like Google and Microsoft are investing significantly in AI technologies that enhance translation accuracy, enabling businesses to connect with diverse customer bases effectively. With such efforts from established organizations, coupled with a large and burgeoning digital audience, the demand for efficient translation services is expected to rise, thus propelling the growth of this market sector.

    Government Initiatives for National Language Promotion

    The Indian government has been actively promoting the use of regional languages through various initiatives, which encourages the growth of the India AI-enabled Translation Services Market Industry. For instance, the Digital India initiative aims to transform India into a digitally empowered society and knowledge economy, fostering the availability of government services in multiple languages. 

    Additionally, the e-governance initiative by the Ministry of Electronics and Information Technology emphasizes providing services in local languages, which further increases the demand for translation services.These governmental pushes create a fertile ground for AI-enabled translation services to expand, aligning with both national language promotion and digital inclusion.

    Globalization of Indian Businesses

    The globalization of Indian businesses is significantly driving the India AI-enabled Translation Services Market Industry. With more Indian companies entering international markets, the need to communicate effectively with customers across different linguistic backgrounds has surged. According to the Confederation of Indian Industry, nearly 40% of Indian businesses are expanding their operations overseas, particularly in Europe and North America. 

    This trend has necessitated the use of translation services to ensure that marketing collateral, legal documents, and customer service are effectively translated.Major players such as Infosys and Wipro are leveraging AI-driven translation tools to streamline their communication processes, demonstrating how such globalization impacts the growth of this market sector.

    India AI-enabled Translation Services Market

    India AI Enabled Translation Services Market Drivers

    Market Segment Insights

    India

    India AI-enabled Translation Services Market Segment Insights

    AI-enabled Translation Services Market

    AI-enabled Translation Services Market Type Insights

    The India AI-enabled Translation Services Market has been experiencing a notable transformation, primarily segmented into Online Services and Offline Services. The surge in demand for online services can be attributed to the growing reliance on digital platforms, where real-time translation capabilities enhance user experiences across various applications such as websites, mobile apps, and social media.

    This segment has gained traction owing to the convenience of accessing translation services instantly, which aligns perfectly with the fast-paced lifestyle of urban India.A significant number of businesses are opting for online services as they not only provide immediate solutions but also reduce operational costs associated with traditional translation methods. 

    In contrast, offline services continue to play a vital role, especially in industries that require document translations, such as legal, medical, and technical sectors, where accuracy and confidentiality are paramount. These services become indispensable for businesses that handle sensitive materials, necessitating a tailored approach that ensures nuanced understanding and precision.As a growing number of industries in India prioritize expansion into global markets, the demand for both online and offline services is expected to rise, with each segment addressing unique needs and preferences. 

    AI-enabled Translation Services Market

    AI-enabled Translation Services Market Application Insights

    The Application segment of the India AI-enabled Translation Services Market showcases a diverse landscape marked by key players, including Large Enterprises and Small and Medium-sized Enterprises (SMEs). Large Enterprises, leveraging advanced technologies, often dominate the market by utilizing AI-driven translation tools to streamline operations across global markets, thus enhancing communication and collaboration. In contrast, SMEs represent a significant portion, embracing AI-enabled solutions to improve customer engagement and expand their reach, especially in multilingual environments.

    The growing demand for real-time translation services has become essential as businesses aim to cater to diverse audiences, particularly in a linguistically rich nation like India, where over 1,600 languages are spoken. With advancements in natural language processing and machine learning, AI-enabled translation services offer cost-effective solutions that benefit both Large Enterprises and SMEs. Companies are, therefore, investing in these capabilities to boost productivity and maintain competitiveness in an increasingly globalized marketplace. This trend reflects the increasing importance of AI in supporting effective communication driving market growth across various sectors.

    India AI-enabled Translation Services Market

    Get more detailed insights about India AI-Enabled Translation Services Market Research Report- Forecast to 2035

    Regional Insights

    Key Players and Competitive Insights

    The India AI-enabled Translation Services Market is experiencing significant growth due to increasing globalization, the expansion of digital content, and the necessity for multilingual communication in various sectors. With advancements in artificial intelligence, companies are leveraging machine learning and natural language processing to enhance translation accuracy and speed. This evolution has ignited healthy competition among service providers who are striving to differentiate themselves through technology, user experience, and the range of languages supported. 

    The market is characterized by a diverse array of players, from established corporations to innovative startups, making it essential for companies to continuously evolve their offerings to meet the dynamic needs of consumers and businesses alike.Lingmo has positioned itself prominently within the India AI-enabled Translation Services Market, capitalizing on its unique strengths and innovative technology. The company specializes in providing real-time translation solutions that integrate various languages, catering to both individual users and businesses. 

    Lingmo has bolstered its presence in India by tailoring its services to local language nuances, thus enhancing user engagement. Its AI-driven algorithms ensure high levels of accuracy, making it a preferred choice among clients who require reliable and efficient translation services. The company's strategic partnerships and collaborations within the region further empower it to expand its market reach, while its reputation for excellent customer service contributes to positive brand recognition.PangeaMT also plays a key role in the India AI-enabled Translation Services Market, with a comprehensive portfolio of services aimed at meeting the diverse needs of clients. 

    The company focuses on providing tailored machine translation solutions suitable for various industries, ensuring high-quality translations with its robust linguistic technologies. PangeaMT has made inroads in the Indian market by adapting its offerings to local requirements and languages, thereby enhancing its relevance. As a result of its strategic mergers and acquisitions, PangeaMT has consolidated its resources and expertise within the region, allowing it to innovate and deliver advanced translation solutions. The company’s commitment to continuous improvement and excellence in technology supports its growing reputation in the competitive landscape of India AI-Enabled Translation Services.

    Key Companies in the India AI Enabled Translation Services Market market include

    Industry Developments

    The India AI-enabled Translation Services Market has recently seen significant developments, particularly with companies like Google and Microsoft enhancing their offerings for local languages to cater to India's linguistically diverse population. Notably, in June 2023, Amazon launched advanced translation capabilities in its AWS platform, aiding businesses in localization processes. 

    The demand for seamless communication across languages in India is surging, pushing companies like Wipro and Zoho to invest in AI technologies for improved translation accuracy and speed.Moreover, in July 2023, Lingmo and PangeaMT announced a strategic partnership to leverage AI for adaptive translation solutions, enhancing service delivery in the Indian market. 

    The growth in market valuation for firms like Unbabel and Gengo is reflective of a broader trend as they capitalize on the growing need for multilingual support in sectors such as e-commerce and customer service. The Indian government’s push for digital adoption and technological innovation further underscores the expanding landscape for AI-powered translation services, with a broader commitment to improving language accessibility for all citizens. The market is projected to continue its upward trajectory, driven by increasing demand and continuous technological advancements.

    India AI-enabled Translation Services Market Segmentation Insights

    AI-enabled Translation Services Market Type Outlook

    • Online Service
    • Offline Service

    AI-enabled Translation Services Market Application Outlook

    • Large Enterprises
    • SMEs

    Market Segmentation

    AI-enabled Translation Services Market Type Outlook

    • Online Service
    • Offline Service

    AI-enabled Translation Services Market Application Outlook

    • Large Enterprises
    • SMEs

    Report Scope

     
    Report Attribute/Metric Source: Details
    MARKET SIZE 2023 67.9(USD Million)
    MARKET SIZE 2024 79.8(USD Million)
    MARKET SIZE 2035 540.0(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR) 18.984% (2025 - 2035)
    REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR 2024
    MARKET FORECAST PERIOD 2025 - 2035
    HISTORICAL DATA 2019 - 2024
    MARKET FORECAST UNITS USD Million
    KEY COMPANIES PROFILED Lingmo, PangeaMT, Wipro, Unbabel, Gengo, Amazon, Google, Zoho, Microsoft, Translate.com, TextShuttle, IBM, Systran, iTranslate, Lingo24
    SEGMENTS COVERED Type, Application
    KEY MARKET OPPORTUNITIES Rising demand for multilingual content, Growth in e-commerce and globalization, Increased investment in AI technologies, Expansion of remote work and communication, Integration with voice recognition systems
    KEY MARKET DYNAMICS Increased globalization, Rising demand for localization, Advancements in NLP technology, Growing mobile application usage, Cost-effective solutions
    COUNTRIES COVERED India

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    FAQs

    What is the expected market size of the India AI-Enabled Translation Services Market by 2024?

    The India AI-Enabled Translation Services Market is expected to be valued at 79.8 million USD in 2024.

    What will be the market size of the India AI-Enabled Translation Services Market by 2035?

    By 2035, the market size of the India AI-Enabled Translation Services Market is projected to reach 540.0 million USD.

    What is the expected CAGR for the India AI-Enabled Translation Services Market from 2025 to 2035?

    The expected compound annual growth rate (CAGR) for the market from 2025 to 2035 is 18.984 percent.

    What is the market size for online services in the India AI-Enabled Translation Services Market by 2035?

    The market size for online services in the India AI-Enabled Translation Services Market is expected to reach 230.0 million USD by 2035.

    What is the projected market size for offline services in the India AI-Enabled Translation Services Market by 2035?

    The offline services segment is anticipated to be valued at 310.0 million USD by 2035 in the India AI-Enabled Translation Services Market.

    Which key players hold significant market share in the India AI-Enabled Translation Services Market?

    Major players in the market include Lingmo, PangeaMT, Wipro, Unbabel, Gengo, Amazon, Google, Zoho, Microsoft, Translate.com, TextShuttle, IBM, Systran, iTranslate, and Lingo24.

    What is the market size for online services in the India AI-Enabled Translation Services Market by 2024?

    The online services segment is valued at 32.0 million USD in the India AI-Enabled Translation Services Market by 2024.

    What challenges does the India AI-Enabled Translation Services Market face?

    The market faces challenges related to language accuracy and the ability to maintain contextual meanings during translation.

    What opportunities exist for growth in the India AI-Enabled Translation Services Market?

    Emerging opportunities in the market include increased demand for multi-language support and advancements in AI technology.

    How has the global scenario impacted the India AI-Enabled Translation Services Market?

    The current global scenario influences demand for translation services as businesses expand into new markets and require diverse communication solutions.

    1. EXECUTIVE
    2. SUMMARY
    3. Market Overview
    4. Key Findings
    5. Market Segmentation
    6. Competitive Landscape
    7. Challenges and Opportunities
    8. Future Outlook
    9. MARKET INTRODUCTION
    10. Definition
    11. Scope of the study
    12. Research Objective
    13. Assumption
    14. Limitations
    15. RESEARCH
    16. METHODOLOGY
    17. Overview
    18. Data
    19. Mining
    20. Secondary Research
    21. Primary
    22. Research
    23. Primary Interviews and Information Gathering
    24. Process
    25. Breakdown of Primary Respondents
    26. Forecasting
    27. Model
    28. Market Size Estimation
    29. Bottom-Up
    30. Approach
    31. Top-Down Approach
    32. Data
    33. Triangulation
    34. Validation
    35. MARKET
    36. DYNAMICS
    37. Overview
    38. Drivers
    39. Restraints
    40. Opportunities
    41. MARKET FACTOR ANALYSIS
    42. Value chain Analysis
    43. Porter's
    44. Five Forces Analysis
    45. Bargaining Power of Suppliers
    46. Bargaining
    47. Power of Buyers
    48. Threat of New Entrants
    49. Threat
    50. of Substitutes
    51. Intensity of Rivalry
    52. COVID-19
    53. Impact Analysis
    54. Market Impact Analysis
    55. Regional
    56. Impact
    57. Opportunity and Threat Analysis
    58. India
    59. AI-Enabled Translation Services Market, BY Type (USD Million)
    60. Online
    61. Service
    62. Offline Service
    63. India
    64. AI-Enabled Translation Services Market, BY Application (USD Million)
    65. Large
    66. Enterprises
    67. SMEs
    68. Competitive Landscape
    69. Overview
    70. Competitive
    71. Analysis
    72. Market share Analysis
    73. Major
    74. Growth Strategy in the AI-Enabled Translation Services Market
    75. Competitive
    76. Benchmarking
    77. Leading Players in Terms of Number of Developments
    78. in the AI-Enabled Translation Services Market
    79. Key developments
    80. and growth strategies
    81. New Product Launch/Service Deployment
    82. Merger
    83. & Acquisitions
    84. Joint Ventures
    85. Major
    86. Players Financial Matrix
    87. Sales and Operating Income
    88. Major
    89. Players R&D Expenditure. 2023
    90. Company
    91. Profiles
    92. Lingmo
    93. Financial
    94. Overview
    95. Products Offered
    96. Key
    97. Developments
    98. SWOT Analysis
    99. Key
    100. Strategies
    101. PangeaMT
    102. Financial
    103. Overview
    104. Products Offered
    105. Key
    106. Developments
    107. SWOT Analysis
    108. Key
    109. Strategies
    110. Wipro
    111. Financial
    112. Overview
    113. Products Offered
    114. Key
    115. Developments
    116. SWOT Analysis
    117. Key
    118. Strategies
    119. Unbabel
    120. Financial
    121. Overview
    122. Products Offered
    123. Key
    124. Developments
    125. SWOT Analysis
    126. Key
    127. Strategies
    128. Gengo
    129. Financial
    130. Overview
    131. Products Offered
    132. Key
    133. Developments
    134. SWOT Analysis
    135. Key
    136. Strategies
    137. Amazon
    138. Financial
    139. Overview
    140. Products Offered
    141. Key
    142. Developments
    143. SWOT Analysis
    144. Key
    145. Strategies
    146. Google
    147. Financial
    148. Overview
    149. Products Offered
    150. Key
    151. Developments
    152. SWOT Analysis
    153. Key
    154. Strategies
    155. Zoho
    156. Financial
    157. Overview
    158. Products Offered
    159. Key
    160. Developments
    161. SWOT Analysis
    162. Key
    163. Strategies
    164. Microsoft
    165. Financial
    166. Overview
    167. Products Offered
    168. Key
    169. Developments
    170. SWOT Analysis
    171. Key
    172. Strategies
    173. Translate.com
    174. Financial
    175. Overview
    176. Products Offered
    177. Key
    178. Developments
    179. SWOT Analysis
    180. Key
    181. Strategies
    182. TextShuttle
    183. Financial
    184. Overview
    185. Products Offered
    186. Key
    187. Developments
    188. SWOT Analysis
    189. Key
    190. Strategies
    191. IBM
    192. Financial
    193. Overview
    194. Products Offered
    195. Key
    196. Developments
    197. SWOT Analysis
    198. Key
    199. Strategies
    200. Systran
    201. Financial
    202. Overview
    203. Products Offered
    204. Key
    205. Developments
    206. SWOT Analysis
    207. Key
    208. Strategies
    209. iTranslate
    210. Financial
    211. Overview
    212. Products Offered
    213. Key
    214. Developments
    215. SWOT Analysis
    216. Key
    217. Strategies
    218. Lingo24
    219. Financial
    220. Overview
    221. Products Offered
    222. Key
    223. Developments
    224. SWOT Analysis
    225. Key
    226. Strategies
    227. References
    228. Related
    229. Reports
    230. LIST
    231. OF ASSUMPTIONS
    232. India AI-Enabled Translation Services
    233. Market SIZE ESTIMATES & FORECAST, BY TYPE, 2019-2035 (USD Billions)
    234. India
    235. AI-Enabled Translation Services Market SIZE ESTIMATES & FORECAST, BY APPLICATION,
    236. 2035 (USD Billions)
    237. PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
    238. ACQUISITION/PARTNERSHIP
    239. LIST
    240. Of figures
    241. MARKET SYNOPSIS
    242. INDIA
    243. AI-ENABLED TRANSLATION SERVICES MARKET ANALYSIS BY TYPE
    244. INDIA
    245. AI-ENABLED TRANSLATION SERVICES MARKET ANALYSIS BY APPLICATION
    246. KEY
    247. BUYING CRITERIA OF AI-ENABLED TRANSLATION SERVICES MARKET
    248. RESEARCH
    249. PROCESS OF MRFR
    250. DRO ANALYSIS OF AI-ENABLED TRANSLATION
    251. SERVICES MARKET
    252. DRIVERS IMPACT ANALYSIS: AI-ENABLED TRANSLATION
    253. SERVICES MARKET
    254. RESTRAINTS IMPACT ANALYSIS: AI-ENABLED
    255. TRANSLATION SERVICES MARKET
    256. SUPPLY / VALUE CHAIN: AI-ENABLED
    257. TRANSLATION SERVICES MARKET
    258. AI-ENABLED TRANSLATION SERVICES
    259. MARKET, BY TYPE, 2025 (% SHARE)
    260. AI-ENABLED TRANSLATION
    261. SERVICES MARKET, BY TYPE, 2019 TO 2035 (USD Billions)
    262. AI-ENABLED
    263. TRANSLATION SERVICES MARKET, BY APPLICATION, 2025 (% SHARE)
    264. AI-ENABLED
    265. TRANSLATION SERVICES MARKET, BY APPLICATION, 2019 TO 2035 (USD Billions)
    266. BENCHMARKING
    267. OF MAJOR COMPETITORS

    India AI-Enabled Translation Services Market Segmentation

     

     

     

    • AI-Enabled Translation Services Market By Type (USD Million, 2019-2035)

      • Online Service
      • Offline Service

     

    • AI-Enabled Translation Services Market By Application (USD Million, 2019-2035)

      • Large Enterprises
      • SMEs

     

     

     

     

     

     

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