Industry Overview
According to TechSci Research report, India IoT in Manufacturing Market - By Region, Competition, Forecast and Opportunities, 2030, the India IoT in Manufacturing market is expected to register a robust growth during the forecast period, 2026-2030.
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This growth is backed by favorable government policies, increasing adoption of automation, rapid digital infrastructure development, and rising demand for connected devices and real-time analytics. IoT in manufacturing is no longer a futuristic concept — it is an immediate, transformative solution that is enabling manufacturers to become more agile, efficient, and data-driven.
Key Market Drivers
1. Rise in Industry 4.0 Investments
India is seeing significant investment in Industry 4.0 — the fourth industrial revolution, characterized by digital and smart manufacturing. The push towards automation, real-time data monitoring, and predictive maintenance is steering manufacturers to adopt IoT-based systems at scale.
2. Government Support and Budget Allocation
The Indian government has demonstrated a strong commitment to digital transformation. In the Union Budget 2021, USD 7.31 billion was allocated to the IT sector, boosting digital infrastructure and IoT readiness. Supportive initiatives like 'Digital India' and ‘Make in India’ are catalyzing smart manufacturing adoption.
3. Surge in Cloud Adoption and Connectivity
The rapid adoption of cloud computing services and the deployment of 5G networks are pivotal for IoT integration. With enhanced data speeds and lower latency, manufacturers can deploy IoT solutions that support real-time data processing, edge computing, and decentralized operations.
Emerging Trends in the India IoT in Manufacturing Market
1. Predictive Maintenance Goes Mainstream
IoT is revolutionizing equipment maintenance by enabling predictive analytics. By collecting real-time sensor data, manufacturers can predict potential failures and schedule timely maintenance, reducing downtime and optimizing asset performance.
2. Rise of Digital Twins
Digital twin technology, which creates a virtual replica of physical assets, is gaining traction. These models allow manufacturers to simulate, analyze, and optimize production processes, improving design accuracy and reducing time to market.
3. Integration of AI and Machine Learning
AI-powered IoT systems are enhancing decision-making through real-time analytics. From detecting anomalies in production lines to optimizing inventory, the synergy between AI and IoT is unlocking new levels of intelligence and automation.
Applications Driving Market Expansion
IoT is revolutionizing several manufacturing processes and enabling a range of applications:
Predictive Maintenance: Reducing unplanned downtime and extending asset life.
Asset Tracking & Management: Real-time visibility into equipment and inventory.
Business Process Optimization: Enhancing decision-making with data-driven insights.
Automation Control & Management: Managing operations through intelligent automation.
Workforce Monitoring: Ensuring worker safety and productivity.
Supply Chain Management: Streamlining logistics and reducing lead time.
Emergency & Incident Response: Improving workplace safety with automated alerts.
Key market players in the India IoT in Manufacturing market:
- IBM Corporation
- Cisco Systems, Inc.
- Huawei Technologies Co., Ltd.
- Microsoft Corporation
- Schneider Electric SE
- Siemens Aktiengesellschaft
- Bosch Limited
- SAP SE
- General Electric Company
- Zebra Technologies Corporation
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