Nielsen is positioning India as its primary global innovation engine, with over 5,000 employees and 75% of global innovation originating in the country. Artificial intelligence is transforming its advertising intelligence operations, improving automation and creating new opportunities for Indian technology teams.
US-based media analytics company Nielsen is positioning India as its primary global innovation engine, with more than 5,000 employees working in the country, accounting for approximately half of its worldwide workforce. Bengaluru serves as the company’s largest innovation hub, while nearly 75 per cent of its global innovation reportedly originates from India, according to a Moneycontrol report published on October 14.
Nielsen Chief Technology Officer Anil Goel said the company’s India operations were designed to function as a global innovation centre rather than a conventional global capability centre (GCC). According to Goel, Indian teams lead product development, make key decisions and work directly with international clients instead of operating solely under overseas counterparts.
The company’s growing reliance on Indian technology talent reflects the country’s expanding role in artificial intelligence (AI), data analytics, engineering and product innovation. Nielsen is increasingly using AI to automate advertising intelligence, monitor brand visibility during sporting events and measure audiences across an increasingly fragmented media landscape.
AI transforms advertising intelligence
One of the most significant changes has taken place in Nielsen’s advertising intelligence business, which tracks advertising expenditure across television, radio, newspapers, magazines and outdoor media in approximately 30 to 40 major markets, including India and the United States.
Previously, the company relied on a combination of automated systems and manual processing to analyse advertising data. More than 1,000 employees were involved in addressing gaps that existing technology could not resolve.
However, according to Goel, the introduction of artificial intelligence and large language models has increased the machine contribution to these processes from around 80–90 per cent to approximately 97–98 per cent. The change has significantly reduced the need for manual intervention while allowing the company to process more information efficiently.
AI is also helping Nielsen identify brand visibility during sporting events. The technology can detect brand placements on players’ jerseys and other advertising locations, reducing the time required for analysis. The company is working towards making such monitoring available in real time, potentially enabling advertisers to assess brand exposure during tournaments more quickly.
India emerges as a strategic growth market
Although India does not yet outperform several other markets in terms of revenue, Goel said its rapid growth places it among Nielsen’s top 10 markets with significant growth potential.
The company also expects its presence in India to expand following the addition of DoubleVerify, a business specialising in digital advertising verification and brand safety. The development is expected to create further opportunities for technology-driven operations and innovation based in India.
Goel highlighted India’s technology-focused workforce as an important factor supporting this expansion. The availability of skilled professionals in engineering, machine learning, data science and AI is helping Nielsen develop products for international markets from its Indian operations.
AI creates new challenges for audience measurement
The increasing use of AI-powered platforms is also creating new challenges for the media measurement industry. As consumers turn to tools such as ChatGPT, Google’s Gemini and Anthropic’s Claude, alongside AI agents that assist with decisions, traditional methods of measuring media consumption may become less effective.
Audiences now interact with content through television, streaming services, social media, gaming platforms and mobile devices. Measuring unique audiences across these channels has become increasingly complicated, particularly when different platforms report overlapping audience figures.
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Nielsen is therefore exploring approaches to understanding how people interact with emerging AI platforms and how these tools influence consumer behaviour. The shift reflects a broader industry need to adapt audience measurement methods to changing patterns of content consumption.
The company’s India strategy illustrates how the country’s role in global technology operations is evolving beyond traditional support functions. With Indian teams contributing substantially to innovation, product development and AI-led automation, Nielsen is increasingly relying on the country to develop solutions for the changing global media and advertising industry.
