India Artificial Intelligence Market

Market Overview:

The India artificial intelligence market size reached US$ 911.3 Million in 2023. Looking forward, IMARC Group expects the market to reach US$ 9,631.4 Million by 2032, exhibiting a growth rate (CAGR) of 29.1% during 2024-2032. The growing pool of skilled talent in STEM fields, the introduction of numerous favorable government initiatives, rapid digitization, the increasing demand for AI-driven solutions across various industrial verticals, and continuous innovations are among the key factors driving the market growth.

Artificial Intelligence, or AI, refers to a subdivision of computer science that is focused on the creation of intelligent machines apt to perform tasks that typically require human intelligence. It entails the development of algorithms and models that enable machines to learn from data, reason, plan, and adapt to new situations. AI technologies encompass various subfields, including machine learning (ML), natural language processing (NLP), computer vision, and robotics. AI is widely applied in diverse sectors, such as automation, healthcare, finance, and transportation, revolutionizing industries by expanding human capabilities and enabling machines to execute complex tasks efficiently and autonomously.

The AI market in India is being driven by the vast pool of skilled talent in science, technology, engineering, and mathematics (STEM) fields that contributes to the creation of innovative AI algorithms, applications, and solutions that cater to both domestic and global markets. Moreover, the government's proactive approach to promote AI adoption through policy initiatives and funding support is bolstering the market expansion. In line with this, the introduction of the National AI Strategy and Startup India have encouraged investments in AI startups and facilitated collaborations between academia and industry, thus contributing to the market growth. Additionally, the rapid digital transformation across industries, including finance, healthcare, e-commerce, and manufacturing, has spurred the demand for AI-driven solutions to enhance efficiency, productivity, and customer experience, which, in turn, is strengthening the market growth.

India Artificial Intelligence Market Trends/Drivers:

The abundant pool of skilled talent

India possesses a strong pool of skilled professionals in the STEM stream, owing to its education system that emphasizes technical education. This has resulted in numerous graduates with expertise in computer science, data science, and related fields, creating a solid foundation for AI research and development. India's skilled talent actively engages in cutting-edge AI research, leading to the development of tailored AI solutions for specific industries and challenges. The abundance of talent has also fueled the growth of AI startups, supported by incubators and venture capital firms. In addition to this, India's skilled AI workforce is sought after globally, leading to the establishment of offshore AI development centers, enhancing the country's position in the global AI market.

Government's proactive approach towards promoting AI adoption

The Indian government acknowledges the transformative potential of AI and has taken proactive measures to encourage its adoption across industries. They unveiled a National AI Strategy, outlining a roadmap for AI development, talent nurturing, and robust infrastructure building. This commitment instills confidence among businesses and investors, leading to increased interest in AI projects and aiding in market expansion. The government's ‘Startup India’ program supports entrepreneurship and innovation by providing financial assistance, tax benefits, and simplified regulatory processes to AI-driven startups, further strengthening the market growth. Concurrent with this, the government is also fostering collaborations between academia and industry, facilitating technology transfer and knowledge exchange, and expediting AI applications across sectors. These initiatives collectively boost India's position in the global AI landscape.

India Artificial Intelligence Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the India artificial intelligence market report, along with forecasts at the country levels from 2024-2032. Our report has categorized the market based on type, offering, technology, system, and end-use industry.

Breakup by Type:

• Narrow/Weak Artificial Intelligence
• General/Strong Artificial Intelligence
   

Narrow/weak artificial intelligence represents the most widely used type

The report has provided a detailed breakup and analysis of the market based on the type. This includes narrow/weak and general/strong artificial intelligence. According to the report, narrow/weak artificial intelligence represented the largest segment.

The demand for narrow/weak artificial intelligence is being propelled by its ability to provide specialized solutions for specific tasks, making it more accessible and cost-effective for various industries. As compared to general AI, narrow AI focuses on specific functions, enabling rapid deployment and efficiency improvements in areas such as customer service, data analysis, and automation. In addition to this, its targeted capabilities cater to diverse needs without requiring extensive data or computational resources, making it an attractive choice for businesses looking to leverage AI for specific tasks without the complexities of broader applications.

Breakup by Offering:

• Hardware
• Software
• Services
   

Software account for the majority of the market share

A detailed breakup and analysis of the market based on the offering has also been provided in the report. This includes hardware, software, and services. According to the report, software accounted for the largest market share.

The demand for software-based artificial intelligence is propelled by its flexibility, scalability, and ease of integration into existing systems. As a non-hardware-dependent solution, software-based AI offers cost-effectiveness and accessibility, enabling businesses of all sizes to implement AI capabilities without significant infrastructure investments. Moreover, software-based AI solutions can be easily updated and upgraded, ensuring continuous improvement and adaptability to evolving business needs, creating a favorable outlook for market expansion. Besides this, its compatibility with various platforms and devices makes it an attractive choice for organizations seeking to harness AI's potential to optimize processes, improve decision-making, and enhance customer experiences.

Breakup by Technology:

• Machine Learning
• Natural Language Processing
• Context-Aware Computing
• Computer Vision
• Others
   

Machine learning hold the largest share in the market

A detailed breakup and analysis of the market has been provided based on technology. This includes machine learning, natural language processing, context-aware computing, computer vision, and others. According to the report, machine learning accounted for the largest market share.

The demand for artificial intelligence based on ML technology is fueled by its ability to learn from data, adapt, and improve performance without explicit programming. Furthermore, ML-powered AI systems can analyze vast amounts of data and identify patterns, making them crucial for complex tasks, including NLP, image recognition, and predictive analytics. Concurrently, the continuous learning process enables ML-based AI to stay relevant in dynamic environments and deliver accurate insights and predictions. As businesses increasingly seek data-driven solutions, ML-based AI proves crucial in unlocking valuable insights, driving innovation, and gaining a competitive edge in various industries.

Breakup by System:

• Intelligence Systems
• Decision Support Processing
• Hybrid Systems
• Fuzzy Systems
   

Intelligence systems represent the most widely used system

The report has provided a detailed breakup and analysis of the market based on the system. This includes intelligence systems, decision support processing, hybrid systems, and fuzzy systems. According to the report, intelligence systems represented the largest segment.

The demand for intelligence systems is impelled by the growing need for data-driven decision-making, automation, and enhanced customer experiences. Intelligence systems, such as AI and ML, offer businesses the ability to process vast amounts of data quickly and accurately, uncover valuable insights, and predict trends. Besides this, these systems streamline operations, optimize workflows, and improve overall efficiency, resulting in cost savings and increased productivity. Moreover, as customer expectations rise, intelligence systems provide personalized recommendations, seamless interactions, and tailored services, enhancing customer satisfaction and loyalty. Consequently, the pursuit of competitive advantage has spurred the adoption of intelligence systems across diverse industries.

Breakup by End-Use Industry:

• Healthcare
• Manufacturing
• Automotive
• Agriculture
• Retail
• Security
• Human Resources
• Marketing
• Financial Services
• Transportation and Logistics
• Others
   

Manufacturing accounts for the majority of the market share

A detailed breakup and analysis of the market based on the end-use industry has also been provided in the report. This includes healthcare, manufacturing, automotive, agriculture, retail, security, human resources, marketing, financial services, transportation and logistics, and others. According to the report, manufacturing accounted for the largest market share.

The demand for artificial intelligence in the manufacturing sector is driven by its potential to revolutionize operations and address industry challenges. AI-powered systems optimize production processes, reducing downtime, minimizing waste, and enhancing overall efficiency. ML enables predictive maintenance, ensuring timely equipment servicing and preventing costly breakdowns. In addition to this, AI-driven analytics provide real-time insights, aiding in demand forecasting and inventory management. Furthermore, collaborative robots and autonomous systems automate tasks, increasing productivity and worker safety. Therefore, the expanding integration of AI in the manufacturing process to streamline operations and reduce costs is contributing to the market's growth.

Breakup by Region:

• North India
• West and Central India
• South India
• East India
   

South India dominates the maket, accounting for the largest India artificial intelligence market share

The report has also provided a comprehensive analysis of all the major regional markets, which include North India, West and Central India, South India, and East India. According to the report, South India accounted for the largest market share.

South India's dominance in artificial intelligence market can be attributed to the establishment of numerous IT and tech hubs, which have attracted a multitude of multinational corporations and startups specializing in AI. The supportive policies of the southern state governments, promoting innovation and providing incentives for tech enterprises, have also played a pivotal role. Moreover, a mature ecosystem of investors, incubators, and accelerators in these cities is stimulating the growth of AI startups. Besides this, advancements in sectors such as healthcare, e-commerce, and IT services, which extensively utilize AI, is further contributing to the region's dominance in the AI market.

Competitive Landscape:

The competitive landscape of the market is characterized by a dynamic and evolving ecosystem with a mix of established players and emerging startups. Large multinational technology companies have a significant presence in the market, offering AI-powered solutions and services to various industries. These global giants leverage their advanced AI research and development capabilities to cater to the Indian market and collaborate with local businesses. Simultaneously, India boasts a thriving startup culture, with numerous AI-driven startups emerging across different sectors. These startups focus on niche AI applications, such as NLP, computer vision, and AI-powered analytics, catering to specific industry needs. As the AI market continues to evolve, competition intensifies, driving companies to continually innovate and deliver cutting-edge AI solutions to stay ahead in this rapidly growing industry.

The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided.

India Artificial Intelligence Market Report Scope:

Key Benefits for Stakeholders:

• IMARC’s report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the India artificial intelligence market from 2018-2032.
• The research study provides the latest information on the market drivers, challenges, and opportunities in the India artificial intelligence market.
• Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the India artificial intelligence industry and its attractiveness.
• Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.