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India Ai In Iot Market

ID: MRFR/ICT/63689-HCR
200 Pages
Aarti Dhapte
October 2025

India AI in IoT Market Size, Share and Trends Analysis Report By Component (Platforms, Software Solutions, Services), By Technologies (ML and Deep Learning, NLP), and By Vertical (Manufacturing, Energy and Utilities, Transportation and Mobility, BFSI, Government and Defense, Retail, Healthcare and Life Sciences, Telecom, Others)- Forecast to 2035

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India Ai In Iot Market Summary

As per Market Research Future analysis, the AI in IoT Market Size was estimated at 851.28 USD Million in 2024. The ai in-iot market is projected to grow from 1091.34 USD Million in 2025 to 13092.8 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 28% during the forecast period 2025 - 2035

Key Market Trends & Highlights

The India AI in IoT Market is experiencing robust growth driven by technological advancements and increasing demand for smart solutions.

  • The largest segment in the India AI in-IoT market is the smart home devices sector, which is witnessing accelerated adoption.
  • The fastest-growing segment is anticipated to be industrial IoT applications, reflecting a shift towards automation and efficiency.
  • The market is characterized by a growing focus on sustainability, with companies increasingly integrating eco-friendly practices into their IoT solutions.
  • Key drivers of this market include rising demand for automation and supportive government initiatives aimed at fostering innovation.

Market Size & Forecast

2024 Market Size 851.28 (USD Million)
2035 Market Size 13092.8 (USD Million)
CAGR (2025 - 2035) 28.2%

Major Players

Microsoft (US), IBM (US), Amazon (US), Google (US), Cisco (US), Siemens (DE), General Electric (US), Intel (US), Oracle (US)

India Ai In Iot Market Trends

The AI in IoT Market is currently experiencing a transformative phase, driven by advancements in artificial intelligence and the proliferation of Internet of Things devices. This convergence is fostering innovative applications across various sectors, including manufacturing, healthcare, and agriculture. The integration of AI into IoT systems enhances data analytics capabilities, enabling real-time decision-making and operational efficiency. As organizations increasingly recognize the potential of this synergy, investments in smart technologies are on the rise, suggesting a robust growth trajectory for the market. Furthermore, government initiatives aimed at promoting digitalization and smart city projects are likely to bolster the adoption of ai in-iot solutions, creating a conducive environment for market expansion. In addition, the growing emphasis on sustainability and energy efficiency is shaping the landscape of the ai in-iot market. Companies are leveraging AI-driven IoT solutions to optimize resource utilization and reduce waste, aligning with environmental goals. This trend indicates a shift towards more responsible business practices, as organizations seek to balance profitability with ecological considerations. Overall, the ai in-iot market appears poised for significant growth, driven by technological advancements, supportive policies, and a heightened focus on sustainability.

Increased Adoption of Smart Devices

The ai in-iot market is witnessing a surge in the adoption of smart devices across various industries. Organizations are increasingly integrating AI capabilities into IoT devices to enhance functionality and improve user experiences. This trend is particularly evident in sectors such as healthcare, where smart medical devices are being utilized for remote monitoring and diagnostics.

Enhanced Data Analytics

The integration of AI with IoT is leading to improved data analytics capabilities. Businesses are harnessing AI algorithms to analyze vast amounts of data generated by IoT devices, enabling them to derive actionable insights. This trend is crucial for optimizing operations and making informed decisions in real-time.

Focus on Sustainability

There is a growing emphasis on sustainability within the ai in-iot market. Companies are adopting AI-driven IoT solutions to enhance energy efficiency and reduce environmental impact. This trend reflects a broader commitment to sustainable practices, as organizations seek to align their operations with ecological goals.

India Ai In Iot Market Drivers

Rising Demand for Automation

The AI in IoT Market in India is experiencing a notable surge in demand for automation across various sectors. Industries such as manufacturing, agriculture, and healthcare are increasingly adopting automated solutions to enhance operational efficiency. According to recent data, the automation market in India is projected to grow at a CAGR of 15% from 2023 to 2028. This trend is driven by the need for improved productivity and reduced operational costs. As businesses seek to streamline processes, the integration of AI with IoT devices becomes essential. The ai in-iot market is thus positioned to benefit significantly from this rising demand, as companies look to leverage intelligent systems to optimize their operations.

Growing Focus on Smart Cities

India's urbanization is driving the development of smart cities, which rely heavily on IoT and AI technologies. The government has launched the Smart Cities Mission, aiming to create 100 smart cities across the country. This initiative is expected to generate a demand for smart infrastructure, including intelligent transportation systems, waste management, and energy-efficient buildings. The AI in IoT Market stands to gain from this trend, as cities increasingly adopt smart solutions to improve the quality of life for residents. With an estimated investment of $30 billion in smart city projects by 2025, the potential for growth in the ai in-iot market is substantial, as these technologies become integral to urban planning and management.

Government Initiatives and Support

The Indian government is actively promoting the adoption of advanced technologies, including AI and IoT, through various initiatives and policies. Programs such as Digital India and Make in India aim to foster innovation and technological advancement. The government has allocated substantial funding to support research and development in the AI in IoT Market, which is expected to enhance the ecosystem for startups and established companies alike. With an estimated investment of $1 billion in AI research by 2025, the government’s commitment is likely to accelerate the growth of the ai in-iot market, creating a conducive environment for technological advancements and collaborations.

Emerging Startups and Innovation Ecosystem

The startup ecosystem in India is thriving, particularly in the tech sector, where numerous startups are focusing on AI and IoT solutions. This burgeoning landscape is fostering innovation and driving competition within the AI in IoT Market. With over 1,500 AI startups reported in 2025, the potential for disruptive technologies and novel applications is significant. These startups are not only contributing to the market's growth but are also attracting substantial investment, with funding reaching $2 billion in 2025 alone. The dynamic nature of this ecosystem is likely to propel advancements in the ai in-iot market, as new ideas and solutions emerge to meet the evolving needs of various industries.

Increased Investment in Research and Development

Investment in research and development (R&D) within the AI in IoT Market is on the rise in India, as companies seek to innovate and stay competitive. The focus on developing new applications and improving existing technologies is crucial for market growth. Recent reports indicate that R&D spending in the technology sector is expected to reach $10 billion by 2026. This influx of capital is likely to lead to breakthroughs in AI algorithms and IoT connectivity, enhancing the capabilities of devices and systems. As a result, the ai in-iot market is poised for expansion, driven by the continuous pursuit of innovation and technological advancement.

Market Segment Insights

By Component: Platforms (Largest) vs. Software Solutions (Fastest-Growing)

The India ai in-iot market is characterized by a diverse distribution among its component segments. Within this landscape, Platforms hold the largest share, demonstrating significant adoption across various industries. Software Solutions, although slightly smaller in share, show immense potential due to their capability to facilitate IoT applications and enhance data analytics. This distribution exemplifies the varying dynamics that influence market positioning among these segment values. In terms of growth trends, Software Solutions are witnessing the fastest growth as industries increasingly recognize the value of integrating AI capabilities with IoT technologies. The surge in demand for real-time data analytics, automation, and improved operational efficiency is driving this segment's expansion. Meanwhile, Platforms continue to burgeon steadily, supported by increasing investments in infrastructure and widespread deployment in smart cities and industries. Both segments are crucial to the overall evolution of the India ai in-iot market.

Platforms (Dominant) vs. Software Solutions (Emerging)

Platforms represent the dominant component in the India ai in-iot market, characterized by their robust ability to connect various IoT devices and enable seamless communication. These platforms provide a comprehensive framework for data exchange, security, and management, making them essential for enterprises aiming for digital transformation. On the other hand, Software Solutions are emerging as a vital component, driven by their ability to offer tailored applications that enhance user experience and optimize operations. With an emphasis on customization and analytics, these solutions are rapidly gaining traction among businesses seeking to leverage the full potential of IoT technology. Together, these two segments create a dynamic landscape that shapes the future of the market.

By Technologies: ML and Deep Learning (Largest) vs. NLP (Fastest-Growing)

In the India ai in-iot market, the distribution of market share among the technologies segment is predominantly led by ML and Deep Learning, which has established itself as the largest player due to its extensive applications in predictive analytics and automation. NLP, while still a growing technology, is rapidly capturing interest for its ability to enhance human-machine interaction, making it a critical component in customer service and data analysis. The growth trends within this segment reveal a robust inclination towards adopting ML and Deep Learning technologies, primarily driven by increased investments in automation and big data analytics. In contrast, NLP is witnessing a surge in interest, being recognized for its potential to process and analyze vast amounts of natural language data efficiently. The demand for intelligent applications and services that leverage both technologies is expected to rise significantly in the coming years.

Technology: ML and Deep Learning (Dominant) vs. NLP (Emerging)

ML and Deep Learning have solidified their position as the dominant technologies in the market, facilitating advancements in various sectors through automation and enhanced data analytics capabilities. These technologies are characterized by their ability to learn from vast datasets and improve decision-making processes over time, making them invaluable for industries such as healthcare, finance, and manufacturing. On the other hand, NLP is gaining traction as an emerging technology, notable for transforming how machines understand and interact with human language. Its applications, ranging from chatbots to sentiment analysis, are driving significant innovation, positioning NLP as a key player in enhancing customer experiences and extracting insights from unstructured data.

By Vertical: Manufacturing (Largest) vs. Healthcare (Fastest-Growing)

In the India ai in-iot market, the manufacturing sector holds the largest market share, driven by the adoption of advanced technologies for automation, predictive maintenance, and operational efficiency. This is followed closely by the healthcare sector, which is rapidly growing due to increased demand for telemedicine, smart diagnostics, and remote patient monitoring solutions. Other significant sectors include energy and utilities, transportation and mobility, BFSI, and government and defense, each contributing to the overall landscape with distinct applications of AI and IoT technologies. Growth trends in the vertical segment are propelled by various factors, including the increasing push towards digital transformation and smart infrastructure. The manufacturing sector benefits from IoT devices for real-time data collection and analysis. Meanwhile, the healthcare industry is experiencing an accelerated transformation due to the ongoing pandemic, which has heightened the reliance on AI-driven innovations for patient care. As industries recognize the potential of AI and IoT to enhance efficiency and service delivery, investments in these technologies are expected to surge in the coming years.

Manufacturing: Dominant vs. Healthcare: Emerging

The manufacturing sector embodies the dominant force within the India ai in-iot market, leveraging automation and data analytics to enhance productivity and reduce operational costs. This includes the use of robotics, AI algorithms, and IoT sensors to facilitate smart manufacturing processes. Meanwhile, the healthcare sector is emerging as a powerhouse, driven by innovations such as AI-assisted diagnostics, health monitoring devices, and telehealth platforms. The integration of IoT in healthcare allows for real-time patient monitoring, leading to proactive health management and improved patient outcomes. While manufacturing is focused on efficiency and cost-effectiveness, healthcare is prioritizing patient experience and outcomes, demonstrating the diverse applications and nuanced demands of the ai in-iot landscape.

Get more detailed insights about India Ai In Iot Market

Key Players and Competitive Insights

The ai in-iot market in India is characterized by a rapidly evolving competitive landscape, driven by technological advancements and increasing demand for smart solutions across various sectors. Major players such as Microsoft (US), IBM (US), and Amazon (US) are strategically positioning themselves through innovation and partnerships. Microsoft (US) focuses on enhancing its Azure IoT platform, integrating AI capabilities to provide comprehensive solutions for industries ranging from manufacturing to healthcare. IBM (US) emphasizes its Watson IoT platform, leveraging AI to optimize operations and improve decision-making processes. Amazon (US) continues to expand its AWS IoT services, aiming to provide scalable and secure solutions that cater to diverse business needs. Collectively, these strategies foster a competitive environment that encourages continuous improvement and technological integration.

Key business tactics employed by these companies include localizing manufacturing and optimizing supply chains to enhance operational efficiency. The market appears moderately fragmented, with a mix of established players and emerging startups. This structure allows for a dynamic interplay of innovation and competition, as key players leverage their resources to capture market share and drive growth.

In October 2025, Microsoft (US) announced a strategic partnership with a leading Indian telecommunications provider to enhance IoT connectivity solutions. This collaboration aims to facilitate the deployment of smart city initiatives, showcasing Microsoft's commitment to regional expansion and innovation in urban infrastructure. Such partnerships are likely to strengthen Microsoft's market position and enhance its service offerings in India.

In September 2025, IBM (US) launched a new AI-driven analytics tool designed specifically for the manufacturing sector. This tool aims to optimize production processes and reduce downtime, reflecting IBM's focus on digital transformation and operational efficiency. The introduction of this tool is expected to bolster IBM's competitive edge by providing manufacturers with actionable insights that can lead to significant cost savings.

In August 2025, Amazon (US) unveiled a new suite of IoT solutions tailored for the agricultural sector, focusing on precision farming. This initiative highlights Amazon's strategy to diversify its IoT applications and cater to the growing demand for smart agriculture solutions. By leveraging AI and IoT technologies, Amazon aims to enhance productivity and sustainability in farming practices, potentially reshaping the agricultural landscape in India.

As of November 2025, current trends in the ai in-iot market include a strong emphasis on digitalization, sustainability, and the integration of AI technologies. Strategic alliances are increasingly shaping the competitive landscape, as companies recognize the value of collaboration in driving innovation. Looking ahead, competitive differentiation is likely to evolve, with a shift from price-based competition to a focus on technological innovation, reliability in supply chains, and the ability to deliver tailored solutions that meet specific industry needs.

Key Companies in the India Ai In Iot Market market include

Industry Developments

At SAP TechEd in September 2023, SAP revealed generative AI capabilities, enabling developers to use AI-driven solutions to improve business operations. AIShield, a security platform created to improve the security posture of AI/ML models during their creation and operation, was introduced by Bosch that same month.ABB launched the AI-Powered Startup Challenge in November 2023 with the goal of employing artificial intelligence to make drive and motor selection, commissioning, and troubleshooting easier. T-Systems, which offers industry-specific solutions to suit the growing demand for digital transformation, unveiled its IoT and edge computing solutions in India in November 2023.

As part of its AI for Industries plan to speed up digital transformation across several industries, Huawei announced the Pangu Models 3.0 and Ascend AI cloud service in 2023. Together with SK Telecom, Deutsche Telekom created AI voice models in 2023 with an emphasis on digital assistants for customer support.GE Digital maintained its dedication to AI-powered industrial solutions in India in 2023, improving operational effectiveness in a variety of sectors.Bosch.IO supported smart manufacturing ambitions in 2023 by offering IoT solutions with AI integration.

IBM actively pursued AI and IoT solutions in India in 2023, working with regional businesses to spur innovation. In order to meet the rising demand for AI applications, Intel kept offering AI hardware solutions in India in 2023.Microsoft made a €3.5 billion investment in AI infrastructure in India in 2023, which included a training program that was intended to reach 1.2 million individuals. Festo improved industrial processes in India in 2023 by contributing to AI-driven automation solutions.Amazon Web Services made a €7.8 billion investment in cloud services in India in 2023 in response to rising demand brought on by developments in artificial intelligence.

India AI in IoT

Future Outlook

India Ai In Iot Market Future Outlook

The AI in IoT Market in India is projected to grow at a 28.2% CAGR from 2024 to 2035, driven by advancements in connectivity, data analytics, and automation technologies.

New opportunities lie in:

  • Development of AI-driven predictive maintenance solutions for industrial IoT devices.
  • Integration of smart agriculture technologies to enhance crop yield and resource management.
  • Creation of AI-based security systems for real-time monitoring of IoT networks.

By 2035, the ai in-iot market is expected to be a pivotal sector in India's technological landscape.

Market Segmentation

India Ai In Iot Market Vertical Outlook

  • Manufacturing
  • Energy and Utilities
  • Transportation and Mobility
  • BFSI
  • Government and Defense
  • Retail
  • Healthcare and Life Sciences
  • Telecom
  • Others (agriculture, education, telecom, and tourism and hospitality)

India Ai In Iot Market Component Outlook

  • Platforms
  • Software Solutions
  • Services

India Ai In Iot Market Technologies Outlook

  • ML and Deep Learning
  • NLP

Report Scope

MARKET SIZE 2024 851.28(USD Million)
MARKET SIZE 2025 1091.34(USD Million)
MARKET SIZE 2035 13092.8(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 28.2% (2024 - 2035)
REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR 2024
Market Forecast Period 2025 - 2035
Historical Data 2019 - 2024
Market Forecast Units USD Million
Key Companies Profiled Microsoft (US), IBM (US), Amazon (US), Google (US), Cisco (US), Siemens (DE), General Electric (US), Intel (US), Oracle (US)
Segments Covered Component, Technologies, Vertical
Key Market Opportunities Integration of advanced analytics in the ai in-iot market enhances operational efficiency and decision-making.
Key Market Dynamics Rapid technological advancements drive competitive forces in the ai in-iot market, reshaping consumer behavior and regulatory frameworks.
Countries Covered India

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FAQs

What is the projected market size of the India AI In IoT Market for the year 2024?

The projected market size of the India AI In IoT Market for the year 2024 is valued at 850.0 USD Million.

How fast is the India AI In IoT Market expected to grow between 2025 to 2035?

The India AI In IoT Market is expected to exhibit a compound annual growth rate (CAGR) of 36.185% from 2025 to 2035.

What will be the market value of the India AI In IoT Market by 2035?

By the year 2035, the overall market value of the India AI In IoT Market is expected to reach 25400.0 USD Million.

Which component of the India AI In IoT Market is expected to generate the highest revenue by 2035?

By 2035, the Platforms component of the India AI In IoT Market is expected to generate the highest revenue, valued at 10200.0 USD Million.

What is the projected market size for Software Solutions in the India AI In IoT Market by 2035?

The Software Solutions segment is projected to reach a market size of 8400.0 USD Million by the year 2035.

Which key players are dominating the India AI In IoT Market?

Major players in the India AI In IoT Market include Siemens, Google, Nvidia, Tata Consultancy Services, and HCL Technologies.

What is the expected market size for Services in the India AI In IoT Market in 2024?

The market size for Services in the India AI In IoT Market is expected to be valued at 230.0 USD Million in 2024.

What growth opportunities exist for the India AI In IoT Market during the forecast period?

The rapid adoption of advanced technologies and increased demand for automation are significant growth opportunities for the India AI In IoT Market.

How does the India AI In IoT Market's growth compare across different segments?

All segments including Platforms, Software Solutions, and Services are anticipated to grow significantly, driven by technological advancements.

What will be the market size for the Services segment in the India AI In IoT Market by 2035?

The market size for the Services segment is expected to reach 7200.0 USD Million by the year 2035.

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