Two-Thirds of Indian Organizations in Early Stages of AI Adoption

Article By : IDC India

Most organizations are yet to reach the highest levels of AI maturity, most notably in the areas of people and technology.

Only 8.4% of Indian organizations are in the latter stages of artificial intelligence (AI) maturity levels, highlighting the need for an enterprise-wide AI strategy aligned with business goals. This, according to the IDC Maturity Benchmark: Artificial Intelligence in India, 2021, report by market analyst firm International Data Corp. (IDC), which provides a benchmark for organizations to understand the overall AI maturity levels in India.

With digital transformation (DX) being a key objective, many organizations in every industry are exploring AI technologies to enhance customer experience, improve operations, and enhance decision-making. In India, however, most organizations are yet to reach the highest levels of maturity, most notably in the areas of people and technology, according to Rishu Sharma, Associate Research Director, Cloud and AI at IDC India.

IDC MaturityScape Benchmark: Artificial Intelligence — Maturity Distribution Across the Stages

The India AI MaturityScape study finds that around two-thirds of the organizations are in the first two maturity stages, i.e., ad hoc, and opportunistic, compared with a quarter of organizations in repeatable stage, and around 8.4% in advanced adoption stages, i.e., managed, and optimized. Some key findings of the study include:

  • Few (11.6%) organizations are still at the ad hoc stage, but more than half of the organizations are still in the opportunistic stage of AI adoption in India.
  • Around 25% of organizations are in the repeatable stage (AI practitioner). Such practitioners are beginning to develop and align their AI strategy and goals with the enterprise strategy.
  • Across all five AI maturity dimensions, survivors cluster around the ad hoc and opportunistic stages. In contrast, thrivers made significant moves toward the repeatable, managed, and optimized stages.

“Organizations have started increasing their AI spend because of the digitization wave and the pause created by the COVID-19 storm. The pandemic has suppressed any persistent doubts about the need of adopting AI in the pre-COVID era. Organizations have started utilizing AI capabilities to extract timely insights from the organizational data, improve internal operations, and achieve strategic goals; and have reached different maturity levels in their AI adoption journey,” said Swapnil Shen de, Senior Market Analyst, Artificial Intelligence at IDC India.


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