India Edge-AI Hardware Market Research Report By Component (CPU, GPU, ASIC, FPGA), By Device (Smartphone, Camera, Robot, Automobile, Smart Speaker, Wearables, Smart Mirror, Others), By Power Consumption (0-5 W, 6-10 W, More Than 10 W), By Process (Training, Inference) and By Vertical (Consumer Electronics, Smart Home, Automotive Transportation, Healthcare, Aerospace Defense, Government, Construction, Others) - Forecast to 2035

India Edge-AI Hardware Market Overview

As per MRFR analysis, the India Edge-AI Hardware Market Size was estimated at 112.98 (USD Million) in 2023. The India Edge-AI Hardware Market Industry is expected to grow from 137.76 (USD Million) in 2024 to 1,250 (USD Million) by 2035. The India Edge-AI Hardware Market CAGR (growth rate) is expected to be around 22.2% during the forecast period (2025 - 2035)

Key India Edge-AI Hardware Market Trends Highlighted

The rapid adoption of artificial intelligence across various sectors is driving significant trends in the India Edge-AI hardware market. Government initiatives that are designed to foster innovation and digital transformation are among the primary market drivers. The development of indigenous hardware solutions has been facilitated by the Indian government's emphasis on "Digital India" and the "Make in India" initiative, which has encouraged investments in AI technology. Additionally, the demand for edge computing is intensifying as a result of the growing volume of data generated by IoT devices, which has resulted in a significant increase in the production of hardware that is specifically designed for real-time processing and analytics.

The expanding implementation of AI in sectors such as healthcare, agriculture, and smart cities presents opportunities for exploration in the India Edge-AI hardware market. The demand for low-latency solutions and efficient data processing in these regions presents a substantial opportunity for hardware manufacturers to develop customized products that address the unique requirements of specific industries. Additionally, collaborations between academia and technology companies can promote innovation and improve the development of products. The trend of directly integrating AI capabilities into hardware has acquired momentum in recent years.

This change enables devices to execute intricate tasks without relying significantly on cloud computing, thereby improving speed and efficiency. The market products are also being influenced by the expanding emphasis on energy efficiency and sustainability, with a particular emphasis on the development of low-power AI chips. The market is undergoing a discernible transition toward the development of indigenous solutions that are in accordance with local requirements and still maintain global competitiveness. In general, the India Edge-AI hardware market is set to expand due to a combination of supportive policies, increasing demand for innovative solutions, and the necessity for localized technological advancements.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

India Edge-AI Hardware Market Drivers

Increasing Adoption of Artificial Intelligence Across Industries

The adoption of Artificial Intelligence (AI) is accelerating across various industries in India, significantly driving the India Edge-AI Hardware Market Industry. According to the NASSCOM report, the AI market in India is expected to reach around USD 7.8 billion by 2025, showcasing an exponential growth trajectory. Major organizations such as Tata Consultancy Services, Infosys, and Wipro are making substantial investments in AI-related technologies and solutions. By integrating AI into sectors like healthcare, finance, and manufacturing, these companies not only improve operational efficiency but also enhance customer experience.

The growing emphasis on intelligent automation across industries is further encouraging the uptake of Edge-AI hardware, which enables data processing at the source rather than relying solely on cloud computing. This paradigm shift is set to advance the hardware market significantly, as organizations look to optimize performance while minimizing latency and bandwidth usage.

Government Initiatives Supporting Digital Transformation

The Government of India's initiatives aimed at supporting digital transformation are a significant driver for the India Edge-AI Hardware Market Industry. Programs like Digital India and Make in India encourage technological advancement and local manufacturing. The Indian government has allocated substantial funds to develop infrastructure and improve digital services. For instance, under the Digital India initiative, the government plans to invest USD 13 billion in the 2022-2025 period to enhance digital infrastructure, which directly influences the demand for Edge-AI hardware. By promoting technology adoption in sectors such as agriculture, education, and healthcare, the government is cultivating an environment where AI-driven solutions can flourish, thus propelling market growth.

Rising Demand for Real-Time Data Processing

As organizations in India increasingly require real-time data processing capabilities, the India Edge-AI Hardware Market Industry is witnessing substantial growth. A report by the Internet and Mobile Association of India indicates that the number of internet users has reached approximately 850 million in 2023, leading to an explosion of data generation. Companies across various sectors are seeking faster and more efficient hardware solutions that facilitate the processing of this vast amount of data efficiently and instantly. Notable technology giants like HCL Technologies and Tech Mahindra are innovating products tailored to meet this demand, creating a robust ecosystem for Edge-AI hardware. The necessity for swift insights and actions is driving investments in Edge computing technologies to handle data in a localized manner, resulting in improved performance, lower latency, and higher overall system efficiency.

Growth of Smart Infrastructure and IoT Ecosystem

The proliferation of Internet of Things (IoT) devices and smart infrastructure in India is a key driver for the India Edge-AI Hardware Market Industry. As of 2023, the IoT market in India is projected to reach USD 15 billion by 2025, according to a report from the Indian Ministry of Electronics and Information Technology. Companies like Reliance Industries and Larsen Toubro are investing heavily in smart city projects, which necessitate the integration of Edge-AI hardware to facilitate fast data processing and analytics at the device level. The development of smart grids, connected healthcare devices, and automated transportation systems exemplifies the demand for Edge computing capabilities. The combination of these factors fosters an ecosystem where Edge-AI hardware is essential for optimizing operations and enhancing overall service delivery, thereby driving sustained market growth.

India Edge-AI Hardware Market Segment Insights

Edge-AI Hardware Market Component Insights

The Component segment of the India Edge-AI Hardware Market is crucial in driving the capabilities of artificial intelligence at the edge, which is becoming increasingly important as businesses embrace innovations in technology. The Edge-AI ecosystem is primarily powered by several key technologies, such as Central Processing Units (CPUs) which are essential for executing complex algorithms and processing data efficiently. These components are foundational to compute performance and are widely used across various sectors including healthcare, automotive, and manufacturing, enhancing operational efficiency and decision-making processes.

Graphics Processing Units (GPUs) are also significant within this segment, as they excel in handling parallel tasks, enabling rapid processing of large datasets, particularly in applications like deep learning. The rising adoption of GPU technology in India aligns with the increasing focus on real-time insights and analytics, particularly in sectors like retail and finance where high-speed data processing is vital for competitive advantage.

Application-Specific Integrated Circuits (ASICs) serve a specialized role within the Edge-AI landscape, tailored for specific tasks which allow for energy-efficient computing solutions that cater to a variety of industry needs, such as smart appliances and autonomous systems. These dedicated hardware solutions contribute to reduced latency and power consumption, making them attractive for applications requiring high performance with optimized energy usage. Field Programmable Gate Arrays (FPGAs) stand out due to their flexibility and reconfigurability, allowing for adaptable designs based on evolving technological requirements in India’s Edge-AI landscape. This flexibility makes them highly relevant in sectors that demand quick response times and custom functionality. The increasing trend towards personalized applications in various industries is driving the relevance of FPGAs, supporting numerous application scenarios from telecommunications to IoT-based solutions. Overall, the Component segment is essential in realizing the potential of Edge-AI technologies in India.

The continuous evolution in components like CPUs, GPUs, ASICs, and FPGAs is vital to cater to the diverse needs of industries looking to harness the power of artificial intelligence. Growth drivers in this segment include technological advancements, supportive government initiatives promoting digital transformation, and robust investments in Research and Development (R). As organizations look to leverage Edge-AI for enhancing productivity and streamlining operations, the emphasis on high-performance, energy-efficient, and application-specific components will only intensify. Therefore, the India Edge-AI Hardware Market will likely experience robust growth, driven by the strategic importance of these components in delivering innovative solutions tailored to localized demands and challenges.

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

Edge-AI Hardware Market Device Insights

The India Edge-AI Hardware Market is significantly influenced by the Device segment, encompassing a diverse array of technologies aimed at enhancing user experience and operational efficiency. Among these, smartphones stand out as a pivotal device facilitating access to AI-driven applications, driving user engagement and connectivity. Cameras equipped with Edge-AI capabilities are increasingly vital for security and surveillance solutions, providing real-time analytics and monitoring. The rise of robotics, particularly in manufacturing and healthcare, is reshaping industries by automating processes and improving productivity through intelligent systems. The automobile sector showcases a growing trend towards smart vehicles that incorporate edge-AI for navigation, safety features, and enhanced driving experiences.

Smart speakers and wearables are gaining traction in Indian households, serving as personal assistants and health-monitoring devices, respectively, thereby expanding the ecosystem of connected devices. Smart mirrors represent an innovative approach to blend technology with daily routines, offering personalized experiences and utility. Each category plays a significant role in driving the growth and evolution of the India Edge-AI Hardware Market, reflecting the increasing integration of AI solutions across various aspects of daily life. The demand for these devices is propelled by technological advancements, consumer preferences for smart solutions, and supportive government initiatives aimed at boosting the digital economy in India.

Edge-AI Hardware Market Power Consumption Insights

The Power Consumption segment of the India Edge-AI Hardware Market reveals significant insights into energy efficiency and performance optimization within various applications. As organizations focus on deploying energy-efficient solutions, the significance of devices consuming 0-5 W emerges, primarily for edge computing tasks in IoT devices, which typically require lower power. In contrast, the 6-10 W range holds importance for mid-level Edge-AI applications, where enhanced processing capabilities are crucial for tasks analysis and data processing at the edge, catering to sectors like smart cities and industrial automation. The "More Than 10 W" category finds its relevance in high-performance computing scenarios, where substantial data processing is necessary, supporting advanced algorithms in sectors such as healthcare and manufacturing.

The demand for energy-efficient Edge-AI hardware is being driven by India’s initiatives towards sustainable development and energy conservation, alongside the government’s focus on digital transformation. With increasing penetration of Edge-AI applications, businesses are likely to leverage these varying power consumption ranges to maximize efficiency while minimizing operational costs, thereby promoting a robust and environmentally friendly technology ecosystem in the nation.

Edge-AI Hardware Market Process Insights

The India Edge-AI Hardware Market is witnessing a notable growth trajectory driven by the Process segment, which plays a crucial role in enabling artificial intelligence operations at the edge. This segment is primarily divided into Training and Inference processes, both of which are critical to the deployment of machine learning models in real-world applications. Training involves the computational effort of teaching algorithms to recognize patterns and make decisions, which is essential for developing accurate AI models. On the other hand, Inference is about applying these models to new data in real-time, making it significant for applications like fraud detection, real-time analytics, and personalized experiences in sectors such as healthcare and retail.

The increasing demand for low-latency processing and real-time decision-making is pushing innovations in hardware, ensuring that India remains competitive in the global Edge-AI landscape. Furthermore, government initiatives aimed at enhancing digital infrastructure and promoting smart technologies are fostering a conducive environment for growth in this market. Overall, the growing focus on operational efficiency and customer-centric solutions highlights the importance of the Process segment within the broader India Edge-AI Hardware Market.

Edge-AI Hardware Market Vertical Insights

The India Edge-AI Hardware Market is poised for significant expansion across various verticals. The Consumer Electronics segment is notably driving innovations in smart devices, enhancing user experiences through advanced functionalities. Similarly, the Smart Home segment has gained traction, offering automation and security features that cater to the evolving lifestyle demands of urban consumers. The Automotive and Transportation sector continues to adopt Edge-AI technologies, revolutionizing vehicular safety and enhancing operational efficiencies. In Healthcare, Edge-AI Hardware is becoming essential for telemedicine solutions and real-time patient monitoring, contributing to enhanced patient outcomes.

The Aerospace and Defense sector is leveraging these advancements for improved decision-making and strategic capabilities. Government sectors are focusing on smart city initiatives, deploying Edge-AI for effective management of urban infrastructure. Construction is also embracing these technologies, facilitating better project management and safety compliance. As India progresses in digital transformation, the integration of Edge-AI solutions across these varied verticals is increasingly deemed critical, showcasing substantial growth potential and market significance in enhancing operational efficacy and user satisfaction. Overall, the India Edge-AI Hardware Market segmentation highlights the versatility and necessity of Edge-AI technologies in fostering innovation and addressing specific industry challenges.

India Edge-AI Hardware Market Key Players and Competitive Insights

The India Edge-AI Hardware Market is witnessing a dynamic competitive landscape driven by rapid advancements in artificial intelligence and a growing demand for real-time data processing capabilities. This segment encompasses a variety of hardware components, including specialized processors, accelerators, and application-specific integrated circuits that are designed to optimize edge computing functionalities. Companies in this market are vying for leadership by innovating and developing solutions that cater to diverse applications such as smart cities, autonomous vehicles, and industrial automation.

The increased accessibility of AI technologies and the proliferation of IoT devices have further fueled the market's growth, prompting established firms and new entrants alike to refine their strategies and offerings to capture significant market share. Sony has established a solid foothold in the India Edge-AI Hardware Market, leveraging its extensive experience in consumer electronics and proprietary technologies. The company is known for its emphasis on innovation and quality, enabling it to deliver advanced hardware products that meet the needs of Indian consumers in a competitive environment. With its strengths in imaging and sensors, Sony aims to capitalize on the growing demand for high-performance edge-AI solutions tailored for applications such as video surveillance, smart home devices, and machine vision.

The company's ability to seamlessly integrate hardware with software solutions enhances its competitive advantage in the market, while its brand reputation and commitment to research and development also contribute to its significant presence in this sector.NVIDIA, a leader in graphics processing and AI solutions, holds a prominent position in the India Edge-AI Hardware Market through its cutting-edge products like the Jetson series and GPUs specifically designed for AI applications. The company's focus on accelerating AI workloads at the edge resonates well with India's burgeoning technology landscape, showcasing strengths in machine learning, deep learning, and real-time data processing. NVIDIA's strategic partnerships and collaborations with local firms amplify its market penetration, as it seeks to address the diverse needs of industries ranging from healthcare to transportation.

Additionally, the company's commitment to innovation is evident through its investments in research and development, as well as mergers and acquisitions aimed at strengthening its technology portfolio in India. These initiatives enable NVIDIA to consolidate its market position while enhancing its capabilities to offer tailored AI hardware solutions for the Indian market.

Key Companies in the India Edge-AI Hardware Market Include

• Sony


• NVIDIA


• Tata Consultancy Services


• Intel


• Dell Technologies


• CureMetrix


• Tech Mahindra


• Mahindra Group


• Qualcomm


• AMD


• HCL Technologies


• Wipro


• Mindtree


• Samsung Electronics


• Infosys

India Edge-AI Hardware Industry Developments

The India Edge-AI Hardware Market has witnessed significant advancements in recent months, particularly with major companies like Sony, NVIDIA, Tata Consultancy Services, Intel, and Dell Technologies enhancing their product lines. In October 2023, Tata Consultancy Services announced an initiative focused on integrating artificial intelligence into edge computing solutions, aiming to improve operational efficiencies for enterprises across sectors. Moreover, Intel has been advancing its edge AI chips, targeting the burgeoning Smart Cities initiative in India, which aligns with the government's push for digital transformation. Mergers and acquisitions have also been notable, with Tech Mahindra and Mindtree collaborating in September 2023 to leverage AI technologies for developing edge solutions.

Samsung Electronics is expanding its edge computing ecosystem, adapting their offerings for the Indian market amid increasing demand for AI and IoT integration. Over the past few years, the market dynamics have shifted with increased investments and government policies promoting local manufacturing, reflected in the ambitious goal to achieve a $5 trillion economy by 2025. This shift is influencing major players like Qualcomm and AMD, who are looking to expand their presence in India, thereby positioning the country as a formidable hub for Edge-AI innovations.

India Edge-AI Hardware Market Segmentation Insights

• 
  

  Edge-AI Hardware Market Component Outlook

  
  
  
  
  • CPU
  
  
  • GPU
  
  
  • ASIC
  
  
  • FPGA
  
  
  
  


• 
  

  Edge-AI Hardware Market Device Outlook

  
  
  
  
  • Smartphone
  
  
  • Camera
  
  
  • Robot
  
  
  • Automobile
  
  
  • Smart Speaker
  
  
  • Wearables
  
  
  • Smart Mirror
  
  
  • Others
  
  
  
  


• 
  

  Edge-AI Hardware Market Power Consumption Outlook

  
  
  
  
  • 0-5 W
  
  
  • 6-10 W
  
  
  • More Than 10 W
  
  
  
  


• 
  

  Edge-AI Hardware Market Process Outlook

  
  
  
  
  • Training
  
  
  • Inference
  
  
  
  


• 
  

  Edge-AI Hardware Market Vertical Outlook

  
  
  
  
  • Consumer Electronics
  
  
  • Smart Home
  
  
  • AutomotiveTransportation
  
  
  • Healthcare
  
  
  • AerospaceDefense
  
  
  • Government
  
  
  • Construction
  
  
  • Others
  
  
  
  

Report Attribute/Metric Source:	Details
MARKET SIZE 2023	112.98 (USD Million)
MARKET SIZE 2024	137.76 (USD Million)
MARKET SIZE 2035	1250.0 (USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR)	22.2% (2025 - 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	Sony, NVIDIA, Tata Consultancy Services, Intel, Dell Technologies, CureMetrix, Tech Mahindra, Mahindra Group, Qualcomm, AMD, HCL Technologies, Wipro, Mindtree, Samsung Electronics, Infosys
SEGMENTS COVERED	Component, Device, Power Consumption, Process, Vertical
KEY MARKET OPPORTUNITIES	Smart city infrastructure development, Industrial automation solutions, Healthcare AI hardware integration, IoT device enhancements, Edge computing for data security
KEY MARKET DYNAMICS	Rising demand for real-time processing, Increased adoption of IoT devices, Growth of AI-based applications, Government initiatives for smart cities, Advancements in semiconductor technology
COUNTRIES COVERED	India