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India Applied AI Market

ID: MRFR/ICT/57292-HCR
200 Pages
Aarti Dhapte
October 2025

India Applied AI Market Research Report By Components (Software, Services) and By Application (Healthcare, Finance, Retail and E-commerce, Predictive maintenance, Industrial robotics, Natural Language Processing, Energy and Utilities, Agriculture, Cybersecurity, Education, Entertainment and Media, Real Estate, Transportation and Logistics, Environmental Monitoring, Human Resources, Others)- Forecast to 2035

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India Applied AI Market Summary

As per MRFR analysis, The India applied AI market size was estimated at 12.58 USD Billion in 2024. The India applied ai market is projected to grow from 15.76 USD Billion in 2025 to 150.11 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 25.28% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The India applied AI market is experiencing robust growth driven by diverse sectoral applications and supportive government policies.

  • The healthcare segment is the largest, showcasing increased adoption of AI technologies for diagnostics and patient management.
  • Financial services represent the fastest-growing segment, with AI enhancing risk assessment and fraud detection capabilities.
  • There is a notable emphasis on ethical AI practices, reflecting a growing awareness of responsible AI deployment.
  • Key market drivers include rising demand for automation and government initiatives supporting AI development.

Market Size & Forecast

2024 Market Size 12.58 (USD Billion)
2035 Market Size 150.11 (USD Billion)
CAGR (2025 - 2035) 25.28%

Major Players

Google (US), Microsoft (US), IBM (US), Amazon (US), NVIDIA (US), Salesforce (US), Baidu (CN), Alibaba (CN), SAP (DE)

India Applied AI Market Trends

The applied AI market is experiencing notable growth, driven by advancements in technology and increasing demand across various sectors. Organizations are increasingly adopting artificial intelligence solutions to enhance operational efficiency, improve customer experiences, and drive innovation. This trend is particularly evident in industries such as healthcare, finance, and manufacturing, where applied ai is being utilized to streamline processes and make data-driven decisions. As businesses recognize the potential of ai technologies, investments in research and development are on the rise, fostering a competitive landscape that encourages collaboration and knowledge sharing. Moreover, the regulatory environment is evolving to support the integration of ai technologies. Government initiatives aimed at promoting digital transformation and innovation are likely to play a crucial role in shaping the future of the applied ai market. With a focus on ethical ai practices and data privacy, stakeholders are working towards creating a framework that balances innovation with responsibility. As the market continues to mature, it appears that the emphasis on transparency and accountability will become increasingly important, influencing how organizations implement ai solutions in their operations.

Increased Adoption in Healthcare

The applied AI market is witnessing a surge in adoption within the healthcare sector. Hospitals and clinics are leveraging ai technologies for diagnostics, patient management, and personalized treatment plans. This trend indicates a shift towards data-driven healthcare solutions that enhance patient outcomes and operational efficiency.

AI in Financial Services

Financial institutions are increasingly integrating ai into their operations to improve risk assessment, fraud detection, and customer service. This trend suggests a growing reliance on ai-driven analytics to enhance decision-making processes and streamline financial transactions.

Focus on Ethical AI Practices

There is a rising emphasis on ethical considerations within the applied ai market. Organizations are prioritizing transparency, accountability, and data privacy in their ai initiatives. This trend reflects a broader commitment to responsible ai development and deployment, ensuring that technologies are used for the benefit of society.

India Applied AI Market Drivers

Rising Demand for Automation

The applied AI market in India is experiencing a notable surge in demand for automation across various sectors. Industries such as manufacturing, logistics, and retail are increasingly adopting AI-driven solutions to enhance operational efficiency and reduce costs. According to recent estimates, the automation market in India is projected to grow at a CAGR of approximately 30% over the next five years. This trend is indicative of a broader shift towards digital transformation, where businesses are leveraging AI technologies to streamline processes and improve productivity. As organizations seek to remain competitive, the integration of AI into their operations is becoming a strategic imperative, thereby driving growth in the applied ai market.

Growing Investment in Startups

The applied AI market in India is witnessing a significant influx of investment in AI startups, which are at the forefront of innovation. Venture capital funding for AI-related ventures has surged, with investments reaching approximately $2 billion in the last year alone. This trend reflects the increasing confidence of investors in the potential of AI technologies to disrupt traditional business models. Startups are developing a wide range of applications, from natural language processing to computer vision, which are being adopted across various industries. The vibrant startup ecosystem is likely to accelerate the growth of the applied ai market, as these companies bring fresh ideas and solutions to the table.

Need for Enhanced Data Analytics

As organizations in India generate vast amounts of data, the need for advanced data analytics solutions is becoming increasingly critical. The applied ai market is positioned to benefit from this trend, as businesses seek to harness AI technologies to derive actionable insights from their data. Industries such as retail, healthcare, and finance are particularly focused on leveraging AI for predictive analytics and decision-making. Reports suggest that the data analytics market in India is expected to grow at a CAGR of around 28% over the next few years, indicating a strong demand for AI-driven analytics solutions. This growing emphasis on data-driven decision-making is likely to propel the applied ai market forward.

Government Initiatives and Support

The Indian government is actively promoting the adoption of AI technologies through various initiatives and policies aimed at fostering innovation. Programs such as the National AI Strategy and the Digital India initiative are designed to create a conducive environment for the growth of the applied ai market. These initiatives not only provide funding and resources for AI research and development but also encourage collaboration between academia and industry. The government's commitment to enhancing AI capabilities is expected to result in a substantial increase in investment, with projections indicating that the AI sector could contribute up to $500 billion to the Indian economy by 2025. Such support is crucial for the advancement of the applied ai market.

Focus on Skill Development and Education

The applied AI market in India is also being driven by a concerted focus on skill development and education in AI technologies. Educational institutions and training programs are increasingly incorporating AI into their curricula, aiming to equip the workforce with the necessary skills to thrive in an AI-driven economy. The government and private sector are collaborating to create training initiatives that address the skills gap in the AI domain. As a result, the number of AI professionals in India is projected to increase significantly, potentially reaching over 1 million by 2025. This emphasis on education and skill development is essential for sustaining the growth of the applied ai market, as a skilled workforce is crucial for the successful implementation of AI solutions.

Market Segment Insights

By Components: Software (Largest) vs. Services (Fastest-Growing)

In the India applied ai market, the Software segment holds the largest share as organizations increasingly invest in AI-driven solutions to enhance operational efficiency and decision-making capabilities. This robust demand is propelled by the need for innovative applications across diverse industries, driving software providers to continuously improve their offerings and tailor solutions to local requirements. Conversely, the Services segment is emerging as the fastest-growing component of the market. Factors contributing to this rapid growth include the rising adoption of AI by businesses seeking expert guidance and implementation assistance. With a surge in demand for training and consulting services, service providers are focusing on delivering customized solutions to meet specific business needs, thus ensuring significant market expansion.

Software (Dominant) vs. Services (Emerging)

The Software segment is dominant in the India applied ai market, characterized by a wide range of applications including machine learning platforms, natural language processing tools, and robotic process automation. These software solutions enable organizations to automate processes, derive insights from data, and enhance customer engagement. On the other hand, the Services segment is classified as emerging, driven by the increasing need for specialized expertise in AI deployment. Businesses are increasingly recognizing the importance of consulting, integration, and support services to maximize the return on their AI investments, leading to a growing landscape of service providers skilled in delivering tailored AI solutions that meet diverse organizational requirements.

By Organization Size: Large Enterprise (Largest) vs. Small & Medium Enterprise (Fastest-Growing)

In the India applied ai market, the distribution of market share among organization sizes illustrates that large enterprises hold the largest portion of the market. This dominance is attributed to their substantial resources, enabling robust investments in technology and talent acquisition. Moreover, they benefit from established infrastructures and brand credibility, allowing them to lead in the adoption and deployment of applied AI technologies. On the other hand, small and medium enterprises are emerging as the fastest-growing segment in this market. They are increasingly adopting applied AI solutions to enhance operational efficiency and drive innovation. The growth of this segment is driven by the availability of affordable AI tools and platforms, as well as a growing recognition of the benefits that AI can bring in terms of competitive advantage and scalability.

Large Enterprise (Dominant) vs. Small & Medium Enterprise (Emerging)

The large enterprise segment is characterized by substantial market presence and resources, allowing them to invest heavily in advanced technologies and talent. These organizations typically have established frameworks for integrating AI into their operations, resulting in enhanced efficiency and innovation. In contrast, small and medium enterprises represent an emerging and dynamic force in the market. They are agile and innovative, often adopting AI solutions rapidly to stay competitive. With a focus on cost-effective implementations, they leverage cloud-based AI tools to optimize performance and drive growth. This duality between the stable dominance of large enterprises and the rapid evolution of small and medium enterprises defines the current landscape of the segment.

By Application: Healthcare (Largest) vs. Natural Language Processing (NLP) (Fastest-Growing)

The segment distribution within the India applied ai market showcases a significant dominance of Healthcare, accounting for a substantial share due to the rising adoption of AI-driven health solutions. This is closely followed by Finance and Retail and E-commerce, which are also experiencing notable growth. Other segments like Cybersecurity and Education are gradually increasing their foothold in the market, reflecting a diversified application of AI technologies across various industries. Growth trends in this market are primarily driven by advancements in technology and increasing investments in AI research and development. Healthcare is propelled by the demand for improved patient outcomes and operational efficiencies. Meanwhile, Natural Language Processing is witnessing rapid growth, owing to its expanding applicability in interactive AI interfaces and language translation, driven by a need for enhanced communication and customer engagement across digital platforms.

Healthcare (Dominant) vs. Natural Language Processing (NLP) (Emerging)

Healthcare is the dominant application in the India applied ai market, primarily due to the integration of AI technologies in diagnostics, treatment planning, and personalized medicine. The pressure for cost control and efficiency improvements in healthcare systems has led to significant investments in AI applications. On the other hand, Natural Language Processing is emerging as a critical segment, driven by its ability to improve user interaction with technology through intelligent chatbots and automated customer support systems. This segment is rapidly gaining ground as organizations realize the importance of understanding and processing human language to enhance user experiences and streamline operations. Both segments reflect the broader trend of leveraging AI for efficiency and innovation in their respective fields.

Get more detailed insights about India Applied AI Market

Key Players and Competitive Insights

The applied ai market in India is characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing demand for automation across various sectors. Major players such as Google (US), Microsoft (US), and IBM (US) are strategically positioned to leverage their extensive resources and expertise in artificial intelligence. Google (US) focuses on enhancing its cloud services with advanced ai capabilities, while Microsoft (US) emphasizes integrating ai into its software solutions, thereby fostering digital transformation for businesses. IBM (US) is concentrating on enterprise solutions, particularly in sectors like healthcare and finance, which require robust ai applications. Collectively, these strategies not only enhance their market presence but also intensify competition, as they vie for leadership in innovation and customer engagement.

In terms of business tactics, companies are increasingly localizing their operations to better cater to the Indian market. This includes optimizing supply chains and establishing partnerships with local firms to enhance service delivery. The competitive structure of the applied ai market appears moderately fragmented, with a mix of established players and emerging startups. The influence of key players is substantial, as they set benchmarks for technological advancements and customer expectations, thereby shaping the overall market dynamics.

In October 2025, Google (US) announced the launch of its new ai-driven analytics platform tailored for Indian businesses, aiming to provide real-time insights and predictive analytics. This strategic move is significant as it not only enhances Google's service offerings but also positions the company as a leader in providing localized solutions that address specific market needs. By leveraging its vast data resources, Google (US) is likely to gain a competitive edge in the rapidly evolving landscape of applied ai.

In September 2025, Microsoft (US) expanded its partnership with local tech firms to co-develop ai solutions aimed at small and medium enterprises (SMEs). This initiative underscores Microsoft's commitment to fostering innovation within the Indian ecosystem. By collaborating with local entities, Microsoft (US) not only enhances its product offerings but also strengthens its market penetration, thereby creating a more resilient business model that aligns with local demands.

In August 2025, IBM (US) launched a new ai platform specifically designed for the Indian healthcare sector, focusing on improving patient outcomes through data-driven insights. This strategic initiative is crucial as it addresses the growing need for advanced healthcare solutions in India. By tailoring its offerings to meet the unique challenges of the Indian market, IBM (US) is likely to solidify its position as a key player in the applied ai domain.

As of November 2025, current trends in the applied ai market are heavily influenced by digitalization, sustainability, and the integration of ai across various sectors. Strategic alliances are becoming increasingly important, as companies recognize the value of collaboration in driving innovation and enhancing service delivery. Looking ahead, competitive differentiation is expected to evolve, shifting from traditional price-based competition to a focus on innovation, technological advancements, and supply chain reliability. This transition may redefine how companies position themselves in the market, emphasizing the need for agility and responsiveness to changing consumer demands.

Key Companies in the India Applied AI Market market include

Industry Developments

Under the IndiaAI Mission, the Indian government formally established the AI Safety Institute in January 2025 with the goal of creating guidelines, risk assessments, and moral standards for the use of AI. As businesses continue to prioritise generative AI technologies, national AI investment increased in April 2025. According to forecasts, AI budgets will almost triple this year compared to 2024.

Google introduced the AI First India 2025 Accelerator in May 2025, providing mentorship and access to cutting-edge AI infrastructure to early- to growth-stage AI entrepreneurs. The Maharashtra government previously announced the MahaAgri-AI Policy in February 2025, setting aside ₹500 crore to implement drone and AI technology for precision farming over the following three years.

SuperOps, an enterprise AI firm based in Bengaluru, raised $25 million in Series C funding in April 2025 to advance its AI-first ITOps solutions. Lastly, in October 2024, Sarvam AI, a generative AI business, raised $41 million in Series A funding to increase the number of large language models it offers in Indic.

The dynamism and strategic prioritisation of applied AI across industries including agriculture, enterprise services, and governance in India are highlighted by these projects, which collectively span public policy, startup finance, and ethical frameworks.

India Applied AI

Future Outlook

India Applied AI Market Future Outlook

The applied AI market in India is projected to grow at a 25.28% CAGR from 2024 to 2035, driven by advancements in technology, increased investment, and demand for automation.

New opportunities lie in:

  • Development of AI-driven supply chain optimization tools.
  • Implementation of predictive maintenance solutions for manufacturing.
  • Creation of personalized AI customer engagement platforms.

By 2035, the applied ai market is expected to be a cornerstone of technological innovation and economic growth.

Market Segmentation

India Applied AI Market Components Outlook

  • Software
  • Services

India Applied AI Market Application Outlook

  • Healthcare
  • Finance
  • Retail and E-commerce
  • Predictive Maintenance
  • Industrial Robotics
  • Natural Language Processing (NLP)
  • Energy and Utilities
  • Agriculture
  • Cybersecurity
  • Education
  • Entertainment and Media
  • Real Estate
  • Transportation and Logistics
  • Environmental Monitoring
  • Human Resources
  • Others

India Applied AI Market Organization Size Outlook

  • Small & Medium Enterprise
  • Large Enterprise

Report Scope

MARKET SIZE 2024 12.58(USD Billion)
MARKET SIZE 2025 15.76(USD Billion)
MARKET SIZE 2035 150.11(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR) 25.28% (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 Billion
Key Companies Profiled Google (US), Microsoft (US), IBM (US), Amazon (US), NVIDIA (US), Salesforce (US), Baidu (CN), Alibaba (CN), SAP (DE)
Segments Covered Components, Organization Size, Application
Key Market Opportunities Integration of advanced machine learning solutions in diverse industries enhances operational efficiency and decision-making.
Key Market Dynamics Rapid advancements in technology drive competitive forces in the applied AI market, reshaping consumer behavior and regulatory frameworks.
Countries Covered India

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FAQs

What is the expected market size of the India Applied AI Market in 2024?

The India Applied AI Market is expected to be valued at 10.46 USD Billion in 2024.

What is the projected market size of the India Applied AI Market by 2035?

By 2035, the India Applied AI Market is projected to reach a value of 63.56 USD Billion.

What is the expected CAGR for the India Applied AI Market from 2025 to 2035?

The expected CAGR for the India Applied AI Market from 2025 to 2035 is 17.823.

Who are the key players in the India Applied AI Market?

Key players in the India Applied AI Market include Tech Mahindra, Cognizant, Wipro, Infosys, and Tata Consultancy Services.

What is the expected market value of the Software component in the India Applied AI Market in 2024?

The Software component of the India Applied AI Market is expected to be valued at 4.18 USD Billion in 2024.

What is the market value of the Services component in the India Applied AI Market in 2024?

In 2024, the Services component of the India Applied AI Market is expected to be valued at 6.28 USD Billion.

What will be the market value of Software by the year 2035?

The Software segment is projected to reach a market value of 27.0 USD Billion by 2035.

What will be the market value of Services by the year 2035?

By 2035, the Services segment is expected to reach a market value of 36.56 USD Billion.

What are the key opportunities driving the growth of the India Applied AI Market?

Key opportunities include advancements in machine learning, increased automation, and growing demand for data analytics.

How do current global economic conditions impact the India Applied AI Market?

Current global economic conditions influence technology investments and can create both challenges and opportunities in the India Applied AI Market.

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