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By Asia Education Review Team , Tuesday, 28 November 2023

India's data science education market will reach 1.39 billion dollars by 2028

  • The global data science education sector is assured to reach  $378.7 billion by 2030. India's data science education sector is likely to shoot up  to $1.391 billion by 2028 from $204.23 million in 2023, at a compound annual growth rate (CAGR) of 57.52 per cent. A revolutionary shift towards data-driven decision-making across diverse industries impels the surge. Simultaneously we can see a significant growth in online education sector escalating from $76.20 million to $533.69 million. A phenomenal growth is predicted  in the big data and analytics job market  with 215,793 open positions presently available. Job opportunities in big data will rise and will surpass 338,000 by 2028 as estimated. Indian organisations welcoming data-driven cultures and big data analytics technologies are making this sector more profitable.

    Big companies such as Amazon, AWS, Bain and Company, Deloitte, Ernst & Young, and Google are actively looking about for data science professionals, offering annual packages ranging from Rs 6.5 lakh to Rs 35.1 lakh. India is also growing as a big data analytics powerhouse. India has positioned itself as a global powerhouse for big data analytics with an estimated 30.1 per cent CAGR,and moving the industry forward  from $5.7 billion in 2022 to a substantial $30.7 billion by 2027.  India is ready to capture 32 per cent of the global analytics market, amplifying educational and employment prospects in this period. Data Scientists , data analysts, and business analysts have been identified as main contributors in driving this sector's expansion.

    Financial analysts (5.3 per cent), big data engineers (4.2 per cent), data specialists (1.2 per cent), business intelligence analysts (1.2 per cent), and data science managers (0.9 per cent) are also major contributors in the sector. A huge demand for professionals with expertise in natural language processing (NLP) and computer vision, pivotal technologies is also seen which empowers innovation in AI applications across diverse industries.