Protiviti, in collaboration with the Confederation of Indian Industry (CII), unveiled a landmark report titled “AI Trends and Future Impact: Industry Adoption and Insights” at the CII AI India Global AIXhibition and Summit 2025, held at Bharat Mandapam, New Delhi. This comprehensive report highlights India’s readiness to harness Artificial Intelligence (AI) as a transformative force, redefining industries and positioning the country as a global AI leader.
Sandeep Gupta, Managing Director of Protiviti Member Firm for India, expressed gratitude for this partnership, stating: “We at Protiviti, extend our sincere gratitude to the Confederation of Indian Industry for this invaluable Knowledge Partnership and the opportunity to launch the report at the CII AI India Global AIXhibition & Summit 2025. The collaboration is an attempt to equip organizations in India with the newer trends, insights, and information to drive AI-driven growth, innovation, and responsible adoption.”
The report is based on a detailed survey conducted by Protiviti and CII, which captured responses from leaders across industries such as BFSI, healthcare and pharmaceuticals, manufacturing, retail, telecom, and product among others. Over 300 participants ranging from mid-level to executive management, with a shared focus on driving AI initiatives within their organizations were interviewed for their views on the transformative potential of AI.
The findings suggest that India is on the cusp of an AI revolution that will not only transform industries but also place the nation at the forefront of global innovation. The report emphasizes the need for ethical and inclusive AI adoption to drive economic growth, improve quality of life, and establish AI as a key enabler of digital transformation.
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Chandrajit Banerjee, Director General of CII, highlighted the report’s importance: “This AI Trends Report in partnership with Protiviti in India is a significant step in our continued efforts to track the evolving AI landscape, providing industry stakeholders with valuable insights into emerging trends, challenges, and opportunities. I hope this report serves as a guiding resource for businesses, policymakers, and technology leaders as we collectively shape India’s AI future.”
How AI is Transforming Various Industries
AI is mainly being adopted across industries for improvement of efficiency and gaining a competitive advantage:
- Financial services: AI is enhancing fraud detection, algorithmic trading, and risk assessment, making financial services more secure and customer-centric.
- Healthcare and pharmaceutical: AI-driven diagnostics, predictive analytics, and personalized medicine are improving clinical outcomes and patient care.
- Retail and consumer: AI enables personalization, dynamic pricing, and supply chain optimization, enhancing customer experiences.
- Automotive: Innovations like autonomous vehicles, advanced driver-assistance systems (ADAS), and predictive maintenance are redefining the automotive landscape.
- Manufacturing and industrial products: Smart automation, demand planning, and robotics are driving operational efficiency and reducing downtime.
- Telecommunications, media and technology: AI optimizes networks, personalizes content, and automates customer service, enhancing connectivity and entertainment.
- Transportation and logistics: AI-powered route optimization, real-time tracking, and demand forecasting streamline supply chains and reduce costs.
- Energy, power, oil and gas: Predictive maintenance and AI-driven energy management improve efficiency and sustainability.
- Aviation: AI supports autonomous flight systems, intelligent surveillance, and demand planning, enhancing safety and efficiency.
Some of the other interesting highlights of the report are
- 55-60% executives feel that they are either limited or not prepared for AI adoption on infrastructure, governance and cost standpoint.
- 74% of executives are already considering Generative AI and LLM technologies.
- Financial services industry leads this wave with 85%.
While the key AI technologies in use are predictive AI, conversational AI and chatbots, natural language processing, generative AI and large language models, some of the potential technologies that are being assessed are as follows:
- Generative AI and LLMs
- Agentic AI or robotic automation.
- Machine learning.
- Natural language processing.
- Conversational AI or chatbots.
- Predictive AI.
- Edge AI or quantum AI.
- Computer vision.
