AI adoption in India to reach $7.8 billion: IDC

Image credit: CNET

By 2025 India’s AI market is expected to grow at a five-year compound annual growth rate (CAGR) of 20.2 per cent and total revenues reaching US$7.8 billion. The businesses in India will accelerate the adoption of both AI-centric and AI non-centric applications for the next five years, according to the International Data Corporation’s (IDC) new report titled ‘India Artificial Intelligence Market, 2021’ that provides comprehensive coverage of the state of artificial intelligence (AI) adoption in India – covering hardware, software, and services markets.

Amongst the three categories, AI software segment will dominate the market and would grow from US$2.8 billion in 2020 at a CAGR of 18.1 per cent by the end of 2025, the company said.

Organisations are leveraging multiple AI applications such as CRM, ERM and others to manage operations, scale supply chains in response to real-time or predicted demands and many more to provide benefits for their customers, improve ROI and achieve cost savings.

“Indian organisations plan to invest in AI to address current business scenarios across functions, such as customer service, human resources (HR), IT automation, security, recommendations, and many more. Increasing business resilience and enhancing customer retention are among the top business objectives for using AI by Indian enterprises,” said Rishu Sharma, Associate Research Director, Cloud and AI, IDC India.

IDC further explained that the report also demonstrates the state of organisations’ AI initiatives and answers key questions around deployment models for AI/ML solutions. AI-powered solutions process multiple data types to provide relevant recommendations to decision-makers. The India AI market report provides a glimpse of different data types that are being processed by the organisations for their AI/ML solutions.

About 51 per cent of organisations are processing transactional and social media data through AI/ML solutions and 46 per cent are processing unstructured or semi- structured data.

“With data being one of the most crucial components in an AI/ML project, businesses use a variety of databases to handle large data volumes for making real time business decisions. Organisations must focus on getting high-quality training data for AI/ML models, as this would define the success of their AI initiatives,” said Swapnil Shende, Senior Market Analyst, AI.

Some key highlights of the report are:

  • AI applications form the largest share of revenue for the AI software category, at more than 52 per cent in 2020.
  • Indian organisations cited cloud as the preferred deployment location for their AI/ML solutions.
  • The major reasons for AI projects to fail includes disruptive results to current business processes and lack of follow-ups from business units.

The report examines the state of the India AI market, focusing on aspects including the overall size of the AI market in India, the forecasted growth, enterprise AI adoption plans, data preparedness in adopting AI, challenges associated with AI implementation, and AI specific use cases.

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