How AI is transforming India’s manufacturing and MSME sectors

AI is acting as a force multiplier for manufacturing and MSMEs in India and Telangana.

In brief

• India’s manufacturing and MSME sectors face a major shift as AI is improves productivity, reduces downtime and enables MSMEs to compete globally in data-driven markets.
• Telangana’s progressive policies and digital infrastructure offer a strong model for rapid AI adoption through collaboration with industry bodies.
• As enterprises adopt intelligent operations, responsible AI, data governance and compliance with the Digital Personal Data Protection Act 2023 are essential.

The manufacturing and Micro, Small and Medium Enterprise (MSME) sectors stand at a defining moment in India’s economic trajectory. As competitive pressures intensify and value chains become increasingly data-driven, the role of artificial intelligence (AI) has shifted from being an emerging innovation to a strategic capability essential for long-term resilience and growth. For MSMEs in particular — who form the backbone of India’s industrial ecosystem — AI presents an unprecedented opportunity to overcome legacy constraints, elevate operational efficiency and strengthen their position in domestic and global markets.

The EY analysis highlights that the next decade of industrial competitiveness will belong to enterprises that effectively combine human knowledge with AI-enabled decision-making — reducing downtime, improving quality, enhancing energy consumption and strengthening customer engagement across the value chain. Equally, as digital intensity grows, the importance of responsible AI, data governance and regulatory compliance becomes foundational. India’s Digital Personal Data Protection Act, 2023, places renewed emphasis on privacy, security and trust — critical elements for sustainable innovation, MSME digital transformation and global alignment.

The thought leadership report, “AI-force multiplier: Leveraging AI for manufacturing and MSMEs,” by EY in collaboration with FTCCI brings together sector insights, use cases, policy developments and a phased adoption framework that MSMEs can implement with minimal disruption and high impact. The goal is to make AI accessible, actionable and architected for scale.

AI serves as a strategic enabler by augmenting human decision-making, automating repetitive processes and extracting actionable insights from data at scale. Unlike previous waves of digitization that focused primarily on automation, AI enables learning systems — systems that continuously improve with usage.

For manufacturing and MSMEs, AI can enable:

• Higher productivity without proportional increases in manpower
• Faster, data-driven decision-making
• Improved quality, consistency and predictability
• Enhanced customer engagement and personalization

In the Indian context — where MSMEs contribute nearly 30% of GDP and over 45% of manufacturing output — Adoption of AI for MSMEs  is not just an efficiency play; it is a competitiveness and survival imperative.

Cybersecurity – Digital Personal Data Protection: Rules, their implications and roadmap for compliance

India stands at the crossroads of digital transformation, being one of the fastest-growing digital economies with widespread adoption of digital services in fintech, e-commerce and digital services among its young population. This transformation demands a comprehensive data protection policy and framework that fuels innovation while also safeguarding individual’s privacy rights. The DPDP Act and Rules aim to establish this balance. For businesses, the Act introduces both opportunities and obligations as they prioritize privacy as a strategic factor. Trust is emerging as a competitive advantage; organizations that effectively implement privacy frameworks are not only better positioned to meet compliance but are also likely to gain customer confidence, strengthen brand integrity and enhance operational efficiency. Seen through this lens, the DPDP Act and Rules can be viewed as enablers of positive change in India's digital economy rather than just regulatory requirements. While achieving compliance requires effort, it can ultimately lead to clarity and long-term, trust-based data relationships that yield tangible benefits. As India accelerates its digital transformation journey, the DPDP Act and Rules establish fundamental guidelines for personal data governance. Anchored in principles of robust personal data protection of individuals, combined with clear requirements for companies managing personal data, the Act makes a decisive shift in how personal data is managed across sectors.

Talent, skills and future workforce: Upskilling agenda

Telangana is expected to generate approximately 16 lakh new jobs by 2030, with nearly one-third coming from life sciences, IT, renewable energy, electric mobility, and aerospace and defense. These sectors demand practical/applied learning and continuous upskilling, not just academic credentials.

Economies with high academic focus to impart knowledge and skills in line with in-demand sectors at the secondary level — often above 40% to 50% — have resilient pipelines of job ready talent. For Telangana, the implication is clear: skilling should move from the margins to the core focusing on AI workforce augmentation and skill development for MSMEs

Telangana’s growth momentum creates a window of opportunity. If delayed, the state risks skill shortages in high growth sectors and underemployment among educated youth. If done well, Telangana can turn human capital into a durable competitive advantage.

Sunrise sectors and Telangana rising

To translate its long-term DeepTech ambitions into durable economic and strategic outcomes, Telangana proposes a comprehensive public-private partnership (PPP) architecture that integrates frontier research, industrial deployment, capital formation, talent development and governance into a unified innovation system.

Unlike conventional sectoral policies or incentive-driven programs, this architecture is designed as a platform model — capable of sustaining long-gestation technologies such as AI, quantum computing, microelectronics, biotechnology, climate technologies and advanced manufacturing. The objective is not only to enable innovation but also to institutionalize pathways from research to commercialization at a national scale, positioning Telangana as India’s most advanced DeepTech testbed.

At the center of. Telangana AI ecosystem is the recognition that frontier technologies require shared infrastructure, anchor demand, translational research capacity and continuous evaluation — elements that can only be delivered through structured, long-term public–private collaboration.

Navigating toward Industry 4.0 excellence

Manufacturing is entering a decisive decade where customer expectations (speed, customization, quality transparency, serviceability) and cost pressures (energy, scrap, downtime, inventory) are rising simultaneously. In this “smart AI age,” growth will belong to enterprises that can convert shop floor and supply chain signals into faster decisions, fewer defects, higher uptime and more reliable delivery promises — without compromising security, privacy or workforce trust.

AI for MSMEs is no longer a futuristic luxury — it is the most practical path to compete with scale: digitize what matters, automate what repeats, predict what fails and enhance what constrains throughput. The opportunity is especially compelling in manufacturing clusters where repeatable playbooks (quality vision, predictive maintenance, energy efficiency improvements, planning copilots) can be replicated rapidly to deliver quick payback and build momentum toward integrated, value-chain intelligence.

Contributors:

Mubin Shaikh, Partner, Technology Consulting, EY India.
Sadagopa Raghavan Thiruvengadathan, Partner, Technology Consulting, EY India.
Aditya G Seolikar, Manager, Technology Consulting, EY India.

Summary 

As manufacturing organizations embark on their journey toward Industry 4.0 excellence, the potential of AI and digital innovation, strategic initiatives and a forward-thinking mindset is essential to drive successful transformations.