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India Graph Analytics Market

ID: MRFR/ICT/63479-HCR
200 Pages
Aarti Dhapte
October 2025

India Graph Analytics Market Research Report By Application (Fraud Detection, Social Network Analysis, Recommendation Systems, Risk Management, Knowledge Graphs), By Deployment Mode (On-Premises, Cloud-Based, Hybrid), By End User (BFSI, Retail, Telecommunications, Healthcare, Government) and By Component (Software, Services)- Forecast to 2035

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India Graph Analytics Market Summary

As per Market Research Future analysis, the graph analytics market size was estimated at 201.46 USD Million in 2024. The graph analytics market is projected to grow from 236.66 USD Million in 2025 to 1184.1 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 17.4% during the forecast period 2025 - 2035

Key Market Trends & Highlights

The India graph analytics market is poised for substantial growth driven by technological advancements and evolving data needs.

  • The largest segment in the India graph analytics market is anticipated to be the BFSI sector, while the fastest-growing segment is likely to be retail.
  • Increased adoption of AI and ML technologies is transforming how organizations analyze and interpret complex data relationships.
  • There is a notable focus on real-time data processing, enabling businesses to make timely and informed decisions.
  • Key market drivers include the rising need for enhanced data security and the expansion of social media and networking platforms.

Market Size & Forecast

2024 Market Size 201.46 (USD Million)
2035 Market Size 1184.1 (USD Million)
CAGR (2025 - 2035) 17.47%

Major Players

Neo4j (US), Amazon Web Services (US), Microsoft (US), IBM (US), Oracle (US), SAP (DE), TigerGraph (US), DataStax (US), ArangoDB (DE)

India Graph Analytics Market Trends

The graph analytics market is experiencing notable growth, driven by the increasing need for data-driven decision-making across various sectors. Organizations are recognizing the value of visualizing complex data relationships, which enhances their ability to derive insights and make informed choices. This trend is particularly evident in industries such as finance, healthcare, and telecommunications, where the ability to analyze interconnected data points can lead to improved operational efficiency and strategic planning. Furthermore, advancements in technology, including artificial intelligence and machine learning, are facilitating the development of sophisticated graph analytics tools that cater to diverse business needs. In addition, the rising adoption of cloud-based solutions is transforming the landscape of the graph analytics market. Companies are increasingly migrating their data to cloud platforms, which allows for greater scalability and flexibility in data management. This shift not only reduces infrastructure costs but also enables organizations to leverage real-time analytics capabilities. As businesses continue to prioritize agility and responsiveness, the demand for graph analytics solutions is expected to grow, positioning them as essential tools for navigating the complexities of modern data environments.

Increased Adoption of AI and ML

The integration of artificial intelligence and machine learning technologies into graph analytics tools is becoming more prevalent. This trend enhances the ability to uncover hidden patterns and relationships within data, leading to more accurate predictions and insights.

Focus on Real-Time Data Processing

Organizations are increasingly prioritizing real-time data processing capabilities within graph analytics solutions. This focus allows businesses to respond swiftly to changing market conditions and customer needs, thereby improving overall competitiveness.

Growing Demand for Cloud-Based Solutions

The shift towards cloud-based graph analytics solutions is gaining momentum. This trend offers organizations enhanced scalability, cost-effectiveness, and the ability to access advanced analytics tools without significant upfront investments.

India Graph Analytics Market Drivers

Demand for Advanced Customer Insights

The quest for advanced customer insights is propelling the graph analytics market in India. Businesses are increasingly focused on understanding customer behavior and preferences to enhance their offerings. Graph analytics enables organizations to analyze customer interactions across various touchpoints, providing a comprehensive view of the customer journey. This analytical capability allows companies to identify trends, predict future behaviors, and personalize marketing efforts. The retail sector, in particular, is leveraging graph analytics to optimize inventory management and improve customer engagement. With the Indian retail market projected to reach $1 trillion by 2025, the demand for sophisticated analytics solutions is likely to grow, thereby fostering the expansion of the graph analytics market in India.

Rising Need for Enhanced Data Security

The graph analytics market in India is experiencing a surge in demand due to the increasing need for enhanced data security.. Organizations are increasingly recognizing the importance of safeguarding sensitive information against cyber threats. As data breaches become more prevalent, companies are turning to graph analytics to identify vulnerabilities and potential attack vectors within their networks. This technology enables businesses to visualize complex relationships between data points, thereby enhancing their ability to detect anomalies and respond to threats in real-time. According to recent estimates, the market for data security solutions is projected to grow at a CAGR of 15% over the next five years, further driving the adoption of graph analytics solutions in the Indian market. Consequently, the emphasis on data security is likely to propel the growth of the graph analytics market in India.

Integration of IoT Devices and Data Sources

The integration of Internet of Things (IoT) devices is emerging as a critical driver for the graph analytics market in India. As more devices become interconnected, the volume of data generated is increasing exponentially. Graph analytics provides a framework for analyzing complex relationships between these devices, enabling organizations to derive actionable insights. For instance, industries such as manufacturing and logistics are utilizing graph analytics to optimize supply chain operations and monitor equipment health. The IoT market in India is projected to reach $15 billion by 2025, suggesting a substantial increase in data sources that can be analyzed through graph analytics. This integration is likely to enhance operational efficiency and drive the growth of the graph analytics market in India.

Government Initiatives for Digital Transformation

Government initiatives aimed at digital transformation are significantly impacting the graph analytics market in India. The Indian government is actively promoting the adoption of digital technologies across various sectors, including healthcare, finance, and education. These initiatives are encouraging organizations to invest in advanced analytics solutions, including graph analytics, to improve service delivery and operational efficiency. For instance, the Digital India program aims to enhance digital infrastructure and promote data-driven decision-making. As a result, the demand for graph analytics solutions is expected to rise, driven by the need for data-driven insights in public services. This governmental push for digital transformation is likely to play a crucial role in shaping the future of the graph analytics market in India.

Expansion of Social Media and Networking Platforms

The proliferation of social media and networking platforms in India is significantly influencing the graph analytics market. With millions of users engaging on various platforms, the volume of data generated is immense. Businesses are leveraging graph analytics to analyze user interactions, preferences, and behaviors, enabling them to tailor marketing strategies effectively. This analytical approach allows companies to identify key influencers and optimize their outreach efforts. The Indian social media market is expected to reach a valuation of $10 billion by 2025, indicating a robust growth trajectory. As organizations seek to harness the power of social media data, the demand for graph analytics solutions is likely to escalate, thereby contributing to the overall growth of the graph analytics market in India.

Market Segment Insights

By Application: Fraud Detection (Largest) vs. Social Network Analysis (Fastest-Growing)

The application segment within the India graph analytics market is primarily characterized by Fraud Detection and Social Network Analysis, which dominate the market due to their increasing adoption across various industries. Fraud Detection maintains the largest market share owing to its critical importance in safeguarding financial transactions and enhancing security protocols. Meanwhile, Social Network Analysis is rapidly gaining ground as businesses recognize the value of understanding user interactions and community dynamics, hence expanding its application. In terms of growth trends, Recommendation Systems and Knowledge Graphs are gaining traction, driven by the need for personalized experiences in digital platforms and more efficient data management. The push for improved Risk Management solutions reflects an increasing awareness of potential threats, thereby prompting organizations to invest in graph analytics technology. The convergence of these trends is set to shape the future landscape of application use cases in the market.

Fraud Detection (Dominant) vs. Recommendation Systems (Emerging)

Fraud Detection stands as a dominant application in the India graph analytics market, leveraging advanced algorithms to identify suspicious patterns and minimize financial risk for organizations. With the rise of digital transactions, its emphasis on real-time analysis enhances its relevance. In contrast, Recommendation Systems are emerging as a vital component in customer-driven industries, utilizing graph analytics to deliver tailored content and product suggestions. This personalization fosters customer loyalty and engagement, making it a key area for growth. Both applications highlight the versatility of graph analytics, addressing distinct challenges while contributing to a more data-driven decision-making environment.

By Deployment Mode: Cloud-Based (Largest) vs. Hybrid (Fastest-Growing)

The deployment mode segment in the India graph analytics market is characterized by a diverse distribution of market share across three primary categories: On-Premises, Cloud-Based, and Hybrid. Among these, Cloud-Based solutions currently command the largest share, driven by their scalability and cost-effectiveness, making them highly preferred by businesses aiming for flexibility and reduced infrastructure costs. Meanwhile, On-Premises solutions continue to hold a significant portion, particularly among enterprises with strict data governance policies, while Hybrid models are gaining traction as organizations increasingly seek to balance the benefits of both cloud and on-premises resources. Growth trends within this segment reveal that Hybrid deployment models are the fastest-growing, supported by a rising demand for integrated solutions that provide both security and flexibility. Factors such as the growing adoption of remote work, coupled with the need for companies to efficiently manage data across varying environments, are propelling this growth. As organizations look to leverage the benefits of digital transformation, the Hybrid model is expected to attract more investment and innovation, aligning with the broader trends of technological advancement and data analytics capabilities.

Cloud-Based (Dominant) vs. Hybrid (Emerging)

Cloud-Based deployment solutions have established themselves as the dominant choice in the India graph analytics market, with their advantages in scalability, ease of access, and lower upfront costs appealing to a broad range of businesses. This model allows organizations to efficiently manage large datasets and perform complex analyses without the need for extensive on-premises infrastructure. On the other hand, the Hybrid deployment model is emerging as a strong contender, blending the strengths of Cloud-Based and On-Premises approaches. It enables enterprises to maintain critical data internally while harnessing cloud solutions for enhanced scalability and agility. As businesses increasingly adopt strategies that prioritize both security and flexibility, the Hybrid model is poised for significant uptake in the coming years.

By End User: BFSI (Largest) vs. Telecommunications (Fastest-Growing)

In the India graph analytics market, The BFSI sector holds the largest market share. It leverages data analytics for risk management, fraud detection, and customer insights.. This dominance is attributable to increased regulatory requirements and a surge in digital banking solutions. Telecommunications, on the other hand, is rapidly expanding its footprint, driven by the rising demand for customer-centric services and the need for network optimization. The integration of AI with graph analytics further enhances its potential in this industry. Growth trends indicate a noteworthy shift towards advanced analytics solutions in both BFSI and telecommunications. The BFSI sector is seeing significant investments in data-driven strategies to enhance customer experiences and operational efficiencies. Meanwhile, the telecommunications sector is focusing on real-time analytics to enable quick decision-making processes and improve service delivery. The rapid digital transformation across industries continues to fuel the demand for graph analytics solutions.

BFSI: Dominant vs. Telecommunications: Emerging

The BFSI segment in the India graph analytics market is characterized by its substantial investments in technology and infrastructure to leverage data for competitive advantages. This segment focuses on deploying analytics for risk analysis, enhancing customer experiences, and adhering to compliance measures. In contrast, The telecommunications sector is emerging and gaining momentum. It adopts advanced analytics to understand customer behaviors, optimize network performance, and introduce innovative service offerings.. This sector's swift growth is attributed to the increasing complexity of data due to evolving customer expectations and the competitive landscape, driving the need for effective graph analytics solutions to stay ahead.

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

In the India graph analytics market, the component segment is dominated by software solutions, which have proved to be essential for organizations looking to derive insights from their data. These software tools have a significant market share and are widely adopted across various sectors, contributing to their strong positioning. On the other hand, services are gaining traction as more firms recognize the importance of professional guidance in implementing and optimizing graph analytics solutions. The growth trends in this segment indicate a robust rise in services, driven by the increasing complexity of data and the need for specialized support. As businesses focus on harnessing data effectively, service providers are emerging as vital partners, facilitating smoother transitions and ensuring the successful deployment of graph analytics. This dynamic is likely to lead to an increase in the demand for services that complement existing software offerings.

Software (Dominant) vs. Services (Emerging)

Software in the India graph analytics market is characterized by established players offering comprehensive solutions that cater to a wide range of analytical needs. These tools are often scalable and provide user-friendly interfaces, making them appealing for organizations of all sizes. In contrast, services represent an emerging sphere, highlighting the growing need for consulting and implementation support. This sector includes various offerings such as training, customization, and ongoing maintenance, which are crucial for maximizing the value derived from software investments. As companies continue to invest in analytics capabilities, the service segment is expected to become an integral component of the overall market strategy.

Get more detailed insights about India Graph Analytics Market

Key Players and Competitive Insights

The graph analytics market in India is currently characterized by a dynamic competitive landscape, driven by the increasing demand for data-driven decision-making across various sectors. Key players are actively engaging in strategies that emphasize innovation, partnerships, and regional expansion to capture market share. Notably, companies such as Neo4j (US), Amazon Web Services (US), and Microsoft (US) are at the forefront, leveraging their technological prowess to enhance their offerings. Neo4j (US) focuses on continuous innovation in graph database technology, while Amazon Web Services (US) emphasizes its cloud-based solutions to facilitate scalable graph analytics. Microsoft (US) is integrating graph analytics into its broader cloud ecosystem, thereby enhancing its competitive positioning.

The market structure appears moderately fragmented, with several players vying for dominance. Key business tactics include localizing services to meet regional demands and optimizing supply chains to ensure efficient delivery of solutions. This competitive environment is shaped by the collective influence of major players, who are not only competing on technology but also on the ability to provide tailored solutions that address specific industry needs.

In October 2025, Neo4j (US) announced a strategic partnership with a leading Indian telecommunications company to enhance network optimization through advanced graph analytics. This collaboration is expected to significantly improve operational efficiencies and customer experience, showcasing Neo4j's commitment to leveraging local partnerships for growth. Such initiatives indicate a trend towards localized solutions that resonate with regional market demands.

In September 2025, Amazon Web Services (US) launched a new suite of graph analytics tools specifically designed for the Indian market, aimed at empowering businesses to derive insights from complex data relationships. This move not only strengthens AWS's foothold in the region but also highlights the growing importance of tailored analytics solutions in driving business intelligence. The introduction of these tools is likely to enhance AWS's competitive edge by providing businesses with the necessary resources to harness the power of graph analytics.

In August 2025, Microsoft (US) expanded its Azure platform to include enhanced graph analytics capabilities, specifically targeting the Indian financial services sector. This strategic enhancement is poised to facilitate better risk management and fraud detection, thereby addressing critical needs within the industry. By focusing on sector-specific applications, Microsoft is positioning itself as a leader in providing specialized solutions that cater to the unique challenges faced by businesses in India.

As of November 2025, the competitive trends in the graph analytics market are increasingly defined by digitalization, AI integration, and sustainability initiatives. Strategic alliances are becoming pivotal in shaping the landscape, as companies recognize the value of collaboration in driving innovation. The shift from price-based competition to a focus on technological advancement and supply chain reliability is evident, suggesting that future competitive differentiation will hinge on the ability to innovate and deliver tailored solutions that meet evolving market demands.

Key Companies in the India Graph Analytics Market market include

Industry Developments

The India Graph Analytics Market has witnessed significant advancements and developments recently. Notable players such as Fractal Analytics and Mindtree are expanding their footprints in graph analytics solutions to cater to a growing demand from various sectors, including finance, telecommunications, and healthcare. Major companies like Tata Consultancy Services and HCL Technologies are capitalizing on the increasing need for data-driven decision-making, launching innovative services to enhance customer experiences. In recent mergers and acquisitions, Neo4j, a leader in graph databases, has been active in enhancing its market position, although no specific deals have been disclosed within the last few months. 

Meanwhile, ArangoDB and Qlik are also focusing on partnerships and collaborations to boost analytic capabilities. Wipro and Infosys are investing in Research and Development to refine their graph analytics offerings, meeting the evolving needs of clients. Over the past few years, the Indian market has shown a sharp increase in valuation, driven by escalating investment in digital transformation and analytics solutions, with reports indicating a growth forecast of approximately 30% annually. This growth signifies the importance of data relationships in strategic business execution, positioning the sector as a key player in India's digital economy.

Future Outlook

India Graph Analytics Market Future Outlook

The Graph Analytics Market in India is projected to grow at a 17.47% CAGR from 2024 to 2035, driven by increasing data complexity, demand for real-time insights, and advancements in AI technologies.

New opportunities lie in:

  • Development of AI-driven predictive analytics tools for real-time decision-making.
  • Integration of graph analytics in supply chain optimization solutions.
  • Creation of customized graph databases for niche industry applications.

By 2035, the market is expected to achieve substantial growth, positioning itself as a leader in data analytics.

Market Segmentation

India Graph Analytics Market End User Outlook

  • BFSI
  • Retail
  • Telecommunications
  • Healthcare
  • Government

India Graph Analytics Market Component Outlook

  • Software
  • Services

India Graph Analytics Market Application Outlook

  • Fraud Detection
  • Social Network Analysis
  • Recommendation Systems
  • Risk Management
  • Knowledge Graphs

India Graph Analytics Market Deployment Mode Outlook

  • On-Premises
  • Cloud-Based
  • Hybrid

Report Scope

MARKET SIZE 2024 201.46(USD Million)
MARKET SIZE 2025 236.66(USD Million)
MARKET SIZE 2035 1184.1(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR) 17.47% (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 Neo4j (US), Amazon Web Services (US), Microsoft (US), IBM (US), Oracle (US), SAP (DE), TigerGraph (US), DataStax (US), ArangoDB (DE)
Segments Covered Application, Deployment Mode, End User, Component
Key Market Opportunities Integration of artificial intelligence in graph analytics enhances data insights and decision-making capabilities.
Key Market Dynamics Rising demand for real-time data insights drives innovation in the graph analytics market.
Countries Covered India

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FAQs

What is the expected market size of the India Graph Analytics Market in 2024?

The India Graph Analytics Market is expected to be valued at 298.5 million USD in 2024.

What is the projected market size for the India Graph Analytics Market by 2035?

By 2035, the India Graph Analytics Market is anticipated to reach a value of 1687.0 million USD.

What is the expected CAGR for the India Graph Analytics Market from 2025 to 2035?

The expected compound annual growth rate for the India Graph Analytics Market is 17.052% from 2025 to 2035.

Which application segment holds the largest market share in the India Graph Analytics Market for 2024?

Fraud Detection is projected to be the largest application segment, valued at 85.0 million USD in 2024.

What is the market size for Social Network Analysis in the India Graph Analytics Market in 2035?

The market size for Social Network Analysis is expected to reach 400.0 million USD by 2035.

Who are the major players in the India Graph Analytics Market?

Significant players in the market include Fractal Analytics, Mindtree, TigerGraph, and Tata Consultancy Services.

What is the projected market value for Knowledge Graphs in the year 2035?

Knowledge Graphs are expected to have a market value of 232.0 million USD in 2035.

What expected market size for Recommendation Systems in 2024?

Recommendation Systems are projected to be valued at 56.5 million USD in 2024.

How much is the Risk Management segment expected to be valued in 2035?

The Risk Management segment is expected to reach a value of 245.0 million USD by 2035.

What are some key growth drivers for the India Graph Analytics Market?

Key growth drivers include increasing demand for big data analytics and enhanced fraud detection capabilities.

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