An outlook at emerging technologies that will reshape enterprises in 2025

Elia Zaitsev, CTO, CrowdStrike:

Identity Will Open the Door to More Cross-Domain Attacks. Identity-based attacks continue to rise – 75% of attacks to gain initial access are now malware-free. As adversaries become more skilled at exploiting stolen credentials, they will increasingly target interconnected domains within a victim’s architecture – identity, cloud, endpoint, data and AI models. These attacks leave minimal footprints in each domain, appearing as isolated events, much like separate pieces of a puzzle – making them difficult to detect.

In 2025, security leaders must integrate unified visibility across the entire kill chain, enabling cross-domain threat hunting to detect deviations from normal user behavior and catch anomalies before they escalate into breaches. While a strong focus on identity protection will be key to early detection, organizations cannot rely on automation alone to safeguard all areas of enterprise risk. Solving the cross-domain puzzle requires a combination of advanced technology, irreplaceable human expertise, and cutting-edge telemetry to inform proactive decision-making.

AI Security Will Dictate Innovation. AI is transformative, and its evolution is unfolding rapidly across public and private clouds. As adversaries increasingly target AI services and large language models (LLMs) deployed in these environments, protecting the integrity and performance of AI systems is more critical than ever. The data driving these models – and the applications they power – must be safeguarded against sophisticated threats. To secure AI innovation in the cloud, security teams will need specialized technology and services that monitor AI services and LLMs, detect misconfigurations, and identify and address vulnerabilities, unified with protection across the entire cloud estate: from infrastructure and applications to data.

 

Karthikeyan G., Senior Director – Engineering, Ascendion:

The ability of businesses to embrace and integrate emerging technology will have a direct impact on how they operate, develop, and compete in the future. It appears that enterprise landscapes will be redefined in 2025 by Generative AI, Blockchain, Edge computing, and Quantum computing.

In sectors like healthcare and logistics, GenAI is enabling autonomous systems that can make decisions in real time, going beyond chatbots and creative tools. For instance, IoT sensors and predictive AI models are being combined to optimize supply chains, cutting waste and increasing productivity.

Blockchain is now evolving into a dependable platform for transparent and safe corporate operations. It is anticipated that smart contract applications for insurance claims and decentralized identities for fraud prevention will grow in popularity.

By processing data at the source, edge computing is simultaneously reducing the latency gap and allowing businesses to provide quicker, more individualized services. Consider self-driving cars that use real-time data processing to guarantee efficiency and safety, or smart factories that use edge to perform predictive maintenance.

Despite its infancy, quantum computing has the potential to revolutionize sectors like finance and healthcare that depend on intricate simulations. Businesses will use quantum algorithms to streamline processes that are currently too complex for classical systems to handle. For instance, energy businesses may use simulations allowed by quantum technology to significantly increase grid efficiency.

All these technologies are interconnected. AI-powered edge solutions combined with blockchain, or quantum algorithms will revolutionize energy, healthcare, and banking. Businesses who can quickly adapt to these advances will be the ones leading the future.

 

Biswajit Biswas, Chief Data Scientist, Tata Elxsi

2025 will see a series of transformational technological breakthroughs, mainly driven by AIOps, eVTOL technology, and Generative AI. AIOps, which looks at incorporating artificial intelligence and machine learning, will be instrumental in enhancing automation and operational efficiency and proactively solving issues. A Gartner report indicates that the global AIOps market will reach $8 billion by 2025, which underlines its critical role in encouraging business progress and customer satisfaction.

The aerospace sector will undergo major changes with the emergence of electric Vertical Take-Off and Landing (eVTOL) vehicles. This innovation will help revolutionize urban air mobility, providing solutions to congestion while demanding stringent safety standards and regulatory frameworks. Since sustainability is the need of the hour, such technology will help control the significant amount of pollution and environmental harm.

With Generative AI’s impact seen across industries, its focus will be more predominant across sectors like automotive and healthcare. Its capabilities in enhancing personalisation, along with predictive maintenance and supply chain optimization will enhance user experiences and operational efficiency. The integration of AIOps with Gen AI will allow IT teams to automate routine tasks, leading to improved reliability and faster problem resolution while reducing operational costs.

In addition to these advancements, technologies like quantum computing will begin to solve complex problems in fields such as cryptography and drug discovery, while 5G networks will enhance connectivity for IoT devices and autonomous vehicles. Agentic AI is also a major technological advancement that is steadily gaining prominence, with its execution of autonomous multi-step workflows revolutionizing operational efficiency.

As we move towards 2025, collaboration across industries and government agencies will be essential to leverage these technologies effectively and create a future that will be characterised by efficient transportation systems, personalised systems and enhanced IT operations.

 

Manoj Paul, Managing Director, India, Equinix

 As we approach 2025, enterprises are redefining their competitive strategies through the integration of advanced technologies. The convergence of AI-driven infrastructure, edge computing and sustainability initiatives is unlocking transformative opportunities while presenting complex challenges that demand strategic management.

Private AI deployments are increasingly being considered by Enterprises to complement public cloud solutions, signaling a more sophisticated approach to AI adoption. This evolution reflects a focus on balancing innovation with critical considerations such as more control, data sovereignty and cost efficiency and we expect move from Cloud to Private AI when POCs advance to the next stage. Notably, sustainability is also emerging as a fundamental driver of technological advancements, particularly in optimizing data center operations.

Despite the opportunities, organizations face the dual challenges of managing the energy-intensive demands of AI workloads and adhering to ever-evolving data protection regulations. These pressures are spurring groundbreaking innovations, including advanced liquid cooling systems and quantum-safe security technologies.

Enterprises are seeking AI-ready data centers and turnkey solutions. The key workloads for these customers include small-scale training, fine-tuning (where privacy is paramount), and inferencing. By offering a variety of models, infrastructure options,  Equinix helps enterprises to adopt a combination of cloud and on prem compute, cloud adjacent storage, and networking, enabling the flexibility for a hybrid approach. This allows businesses to scale efficiently and effectively while maintaining data privacy, regulatory compliance, and high performance.

This evolving landscape underscores the importance of aligning technological advancements with organizational goals, emphasizing the need for agility, strategic foresight, and a commitment to innovation.

 

Michael Bronstein, AI Council member, Qlik

AI is moving at break-neck speed: things that would seem almost science fiction a few years ago even to experts in the field are today’s reality. This year’s Nobel Prizes are evidence that AI is re-writing the rules of what has been considered the hallmark of human ingenuity for centuries: scientific discovery and innovation. Those who embrace this powerful technology will lead, and those who don’t are likely to vanish.

I am optimistic about AI as a transformative power for good. AI is not some force of nature but our creation, and we need to shape it for our benefit. It’s not about machines replacing humans, but rather amplifying human potential and taking us to the next level, potentially solving some of the key problems humankind faces today: from breakthroughs in medicine and clean energy to new materials that can mitigate global warming.  If there is a lesson to learn from AI breakthroughs so far, it is that in most cases data trumps algorithms. Ensuring data quality standards, reproducibility, and tracking provenance are crucial to developing trustworthy AI systems.

As we try to make sense of the impact AI will have in 2025, we see three major themes emerging:

• Authenticity: The explosion of AI-generated content and data will force businesses to confront a new crisis in data authenticity.
• Applied value: Organizations that embed AI with real-world context, enforce cost governance, and shift to conversational interfaces will see AI drive substantial business value.
• Agents: Autonomous agents will reshape business operations, but their success will depend on a solid foundation of business intelligence, interconnected data fabrics, and agent-to-agent communication.

 

Prashant Momaya, Senior Director of Sales Engineering, UiPath India

In 2025, agents, combined with advanced orchestration, are set to reshape the technology landscape. Agents can autonomously plan, make decisions, and adapt in real-time. Orchestration will play a crucial role in the adoption of agents, enabling businesses to manage multiple independent or collaborative agents seamlessly. Integrating agents, humans, and robots, orchestration is all about action and results. Humans, agents or AI models make the decisions and humans or robots implement them.

Building on the momentum of Generative AI’s success in 2024, the focus will shift to deeper collaboration between humans and machines, unlocking new possibilities. This shift will redefine workplace roles, pushing organizations to invest in upskilling and hiring talent with a mix of technical expertise and critical skills like problem-solving and creativity. The demand for built-in AI will surge, with enterprises prioritizing technologies that drive tangible business impact. For example, UiPath Autopilot™ for Developers has reduced automation development time by 75%, while Autopilot for Testers has cut manual testing efforts by 50%.
The future is both agentic and robotic, where agents are the digital brains and robots act as digital limbs. Moving forward, businesses can drive tangible success by seamlessly blending the capabilities of AI and automation. With increasing AI adoption robust regulatory frameworks become more crucial. Leaders must focus on mitigating risks by ensuring data governance, transparency in AI algorithms, and clear accountability for AI decisions.

 

Sumeet Mathur, Senior Vice President and Managing Director, ServiceNow India Technology & Business Center

“There are several transformative shifts in technology that are poised to redefine the landscape. As an example, until now, Gen AI has been largely text-based, but the next wave will be multimodal—integrating vision capabilities for image and video processing to deliver impactful business outcomes. This advancement will open doors to entirely new use cases and opportunities.

The rise of agentic AI, where autonomous AI agents operate with human oversight, will be another game-changer. Deloitte projects that 25% of enterprises globally will deploy such agents by 2025. This shift will drive greater agility and innovation across industries.

Finally, while 2024 was centered on using Gen AI to enhance efficiency and productivity, 2025 will mark a shift toward leveraging its potential to redefine business models. Businesses will move beyond optimization, using AI as a strategic driver to shape new revenue streams and drive top line growth.”

 

Ajay Adiseshann, Founder, MD & CEO at PayMate

“As we close 2024, the B2B payments space in India is experiencing a quiet yet powerful transformation. While consumer adoption has grabbed attention, a ‘silent revolution’ is underway in B2B payments, which is set to drive the next wave of economic growth.

The shift to digital B2B payments is unlocking greater transparency, faster transactions, and more efficient cash flow management. This increased visibility into payments is helping businesses—especially SMEs—gain better control over their working capital, while also providing financial institutions with the data needed to offer more tailored financial products. This is bringing many businesses into the formal financial ecosystem, enabling broader access to credit and finance.

With faster payments, transparent receivables, and improved access to capital, India’s economy will run more efficiently, accelerating growth across all sectors. Platforms like Bharat Connect are key to this transformation, connecting businesses across Bharat to digital financial solutions and playing a crucial role in driving inclusive economic development.

Looking ahead, the rise of digital B2B payments will not just empower individual businesses but will significantly fuel India’s economic engine in the years to come.”

 

Sanjay Sehgal, Founder, Chairman and CEO at MSys Technologies

“The past year marked a breakthrough moment for Generative AI. What began as early adoption has rapidly evolved into a transformative force, reshaping operations across industries. Organizations are now leveraging Gen AI to create highly customized, scalable digital solutions, driving efficiency and innovation at scale.

Looking ahead to 2025, I envision a future where AI Agents redefine the development of digital solutions across industries. Foundational models, such as large action models (LAMs) and large language models (LLMs), will extend AI Agents capabilities to tackle complex use cases with unprecedented speed and cost efficiency.

At MSys Technologies, we are committed to staying at the forefront of this evolving technology landscape. Our AIOps capabilities enable seamless cloud scalability, performance monitoring, and cost optimization. Through MSys GCCs (Global Capability Centers) and ODCs (Offshore Development Centers), we continue to build next-generation AI agents, equipping our clients to thrive in today’s highly competitive digital landscape.”

 

Siddhartha Chandurkar, CEO & Founder, ShepHertz

“The year 2024 was transformative for the tech industry, especially with the launch of generative AI as a mainstream technology. This innovation has significantly impacted industries across various sectors and changed their outlook. AI is no longer restricted to R&D teams but has become a central strategic topic of discussion at the board level. No company can afford to neglect focusing on AI, as it is crucial for staying competitive and driving innovation in today’s rapidly evolving market.

Looking ahead to 2025, apart from new LLM models emerging and existing ones becoming better and more accurate, there will be many more applications and use cases that will come out in new and unforeseen ways. The industry will explore practical applications, integrating AI into everyday use cases. Additionally, the development of artificial general intelligence (AGI) will bring AI closer to human-like capabilities, further transforming how we interact with technology. The future promises exciting advancements, with AI continuing to shape our world in profound ways—not only for enterprises but also benefiting common people in their everyday activities.”

 

Pramod Sharda, CEO of IceWarp India and Middle East.

“The year 2024 has been a pivotal chapter for the Indian IT sector, showcasing remarkable growth, innovation, and resilience. The adoption of emerging technologies such as AI, machine learning, and advanced analytics has empowered businesses to redefine their operational strategies. Furthermore, India’s robust digital infrastructure, supported by government initiatives like Digital India, has accelerated the transition of enterprises toward cloud-first and collaborative work environments.

As we move into 2025, the trajectory looks even more promising. The convergence of 5G, edge computing, and data-driven decision-making will create new opportunities for organizations to unlock their potential. At IceWarp, we foresee a heightened demand for seamless, secure, and integrated communication solutions that empower businesses to thrive in a hyper-connected world. The Indian IT sector is poised to continue being a global leader, driving transformative outcomes across industries.”

 

Karthik Rajaram is the Area Vice President and General Manager for Elastic India

“Prices will be crucial in determining an organization’s decision to innovate with generative AI (GenAI). Hence, ongoing innovation is vital to ensure AI solutions remain cost-effective and efficient. Developers need the right tools to create production-ready applications to help drive widespread innovation in India. Trust between consumers and organizations hinges on the security and privacy of GenAI. Underpinning it all, effective data collection and advanced search capabilities, like vector search, will be essential for providing relevant data at the right time. With the proper data, GenAI can be applied to diverse areas, from climate predictions to advancements in space manufacturing.

 

Piyush Agarwal, SE Leader-India, Cloudera

“As 2025 approaches, the integration of cloud and edge computing will transform the landscape of data-driven innovation. This convergence will enable ultra-low latency decision-making at the edge while maintaining the scalability and intelligence of the cloud. Industries like autonomous transportation, smart cities, and real-time health monitoring will thrive on this synergy, delivering unprecedented user experiences and operational efficiencies. At Cloudera, we envision a world where data flows seamlessly between the edge and cloud, powered by a unified platform. Cloudera empowers organizations to manage and analyze data wherever it resides, ensuring both agility and governance. With edge-to-AI integration as a core focus, Cloudera underscores the importance of a secure, scalable, and intelligent data strategy. By delivering actionable insights precisely when they are needed, Cloudera is shaping a future where data doesn’t just inform decisions but fuels innovation in real time”

 

Ananth Nag, Vice President & Managing Director, India at Zscaler

“AI has empowered cybercriminals to launch more sophisticated attacks, including deepfakes, ransomware, mobile malware, and highly personalized phishing, which were once limited in scale. These threats continue to pose significant risks to both individuals and organizations. According to a recent analysis by ThreatLabz, India has become a prime target for cybercriminals, experiencing a staggering 28% of global mobile malware attacks. Additionally, a significant portion of phishing attacks have targeted the technology sector, making India the third-largest country globally affected by these threats. These findings serve as a stark reminder that cybercriminals are relentless, and as the digital landscape in the region expands, so does the threat landscape.

As we move into 2025, combating these advanced threats requires a proactive approach that harnesses AI-driven defenses and Zero Trust Architecture. Cyber resiliency is also expected to take centre stage in 2025, highlighting the need for robust systems that can withstand and quickly recover from cyber incidents. By integrating AI with resilient security frameworks, we aim to create a secure environment where innovation can flourish without compromising safety. At Zscaler, we are dedicated to providing cutting-edge security solutions that can predict and neutralize these threats in real-time, ensuring a safer digital future for everyone.”

Amit Luthra, Managing Director – ISG, Lenovo India

“Generative AI is transforming industries by automating workflows, enhancing decision-making, and delivering personalized customer experiences through advanced solutions like chatbots and virtual assistants. With advancements like Reinforcement Learning with Human Feedback (RLHF), generative AI is evolving to deliver ethical and intent-aligned outcomes. Looking ahead, the verticalization of large language models (LLMs) will accelerate innovation by automating tasks, streamlining workflows, and uncovering new opportunities. These specialized models deliver domain-specific insights, enabling precise, data-driven decisions and unlocking new levels of efficiency and innovation, particularly across Asia Pacific. At Lenovo ISG, we enable organizations to leverage generative AI with efficient and sustainable infrastructure solutions. Our collaboration with NVIDIA’s advanced GPU technologies and Neptune liquid cooling innovation supports the development and deployment of complex AI models while reducing environmental impact. Through scalable, energy-efficient technologies, we help organizations thrive in an AI-driven future.

Pratik Shah, Managing Director of India & SAARC, F5

“We are entering an era where AI will no longer be constrained by infrastructure or exclusivity. Breakthroughs in neural architectures, like 1-bit large language models, and revolutionary optimization techniques are rewriting the rules of deployment. These advancements are designed to drastically reduce resource requirements while maintaining exceptional performance, making sophisticated AI capabilities accessible across applications and devices. Businesses will be able to integrate AI into operations, from predictive maintenance in manufacturing to hyper-personalized customer experiences in retail, with minimal cost and latency.

Hybrid computing architectures will empower industries to deploy AI where it’s needed most, whether through energy-efficient CPUs for inference or GPUs for high-intensity training. This isn’t just technical progress—it’s a revolution in how AI integrates into our world. By 2025, we won’t just see smarter technologies; we’ll see them in action, empowering businesses, improving lives, and operating sustainably at a global scale.”

Mani Ganeshan, Senior Vice President, Head of APAC Engineering and Amadeus India

“Today’s travelers expect more than destinations—they seek journeys that are good for the planet, people, and profoundly personal. Sustainability and hyper-personalization have become non-negotiable priorities, as travelers demand experiences that align with their values—be it environmental responsibility or seamless, tailored convenience. The travel industry is rising to the challenge, leveraging AI, machine learning, and data analytics to craft these experiences, optimize resources, and drive operational efficiency.

Amid this shift, Amadeus is leading this charge with ‘travel as force for good’ at its heart. Our Environmental Management System (EMS) integrates green coding practices, sustainable procurement, and energy-efficient data centers to reduce our environmental footprint. Advanced technologies like predictive analytics and intelligent automation not only ensure seamless journeys but also foster resource-conscious operations. Our team in India plays a pivotal role in this transformation, driving over 40% of Amadeus’ global product development. Our teams here are pioneering innovations that address evolving traveler demands while prioritizing sustainability. Together, we’re building smarter, more sustainable solutions that redefine the future of travel. Travel isn’t just about where we go—it’s about how we journey and the impact we leave behind. At Amadeus, we’re proud to lead the way, crafting experiences that making travel better for everyone, everywhere.”

 

Arun Parameswaran, Managing Director – Sales, Salesforce India

“As we look ahead to 2025, it’s clear that the rapid evolution of technology, especially AI, will fundamentally reshape the way businesses operate and how customers engage with brands. At Salesforce, we believe 2025 will mark the true dawn of agentic AI — a new era where AI systems move beyond being reactive assistants to becoming proactive, autonomous agents capable of transforming customer engagement, business efficiency, and decision-making. The future of agentic AI in India is poised for transformative growth, driven by several factors with programs like Digital India, Make in India, and National AI Strategy (AI for All) providing a strong foundation for AI adoption. However, its success will depend on balancing technological progress with ethical, social, and economic considerations. Collaborative efforts across government, industry, academia, and civil society will be essential to realize its potential responsibly and inclusively.

As we look ahead to 2025, the scope of these agents will expand dramatically, with multi-agent systems addressing complex challenges, such as simulating product launches or optimizing marketing campaigns. We will witness AI agents working collaboratively, transforming productivity and redefining problem-solving at an unprecedented scale. The future will not just be about using AI; it will be about creating and customizing agents that collaborate to understand and execute strategic tasks and decisions, both in personal and business contexts. Agentforce 2.0: the newest version of Agentforce, the first digital labor platform for enterprises — a complete AI system for augmenting teams with trusted, autonomous AI agents in the flow of work. These advances will enable companies to scale their workforce with customized agents capable of handling complex, multi-step tasks with even more precision and accuracy.

To unlock this agent-driven future, trust will be the cornerstone. Maintaining trust in AI systems will become a top priority for businesses, and we’ll see companies create an equal playing field where everyone can access this technology to ensure humans and AI can work together successfully. AI agents will also emerge as the new front line in organizational security—outperforming human capabilities in identifying vulnerabilities, enhancing security measures, and implementing proactive solutions.

India stands at the cusp of these transformations, where businesses are uniquely positioned to leapfrog into this future. With AI innovation accelerating across industries, Indian organizations can harness the power of trusted, ethical AI to redefine customer success, drive growth, and empower employees to focus on high-value tasks. At Salesforce, we are proud to be at the forefront of this shift with Agentforce, a suite of customizable agents and tools on the Salesforce platform powered by AI, data, and action. Agentforce helps companies meet customer needs 24/7, augment employee workflows, and unlock new levels of operational scale. It’s not just about automation — it’s about creating seamless collaboration between humans and AI to deliver unparalleled customer experiences.

As we embrace this agentic AI future, the potential to reimagine business processes and deliver transformative value to customers is unparalleled. At Salesforce, we remain committed to helping organizations leverage these cutting-edge technologies responsibly and effectively to drive meaningful impact in 2025 and beyond.”

 

 

Sreekrishnan Venkateswaran: Kyndryl Fellow & CTO Kyndryl India

“Generative AI has transitioned from a buzzword to a critical enabler of innovation across industries. By 2025 and beyond, domain-specific generative AI models will advance this trend further, becoming deeply embedded in enterprise workflows to address complex challenges and deliver tangible business value.

Generative AI’s Impact Ahead:

• Domain-specific solutions: Tailored AI models for industries like healthcare, finance, and manufacturing will drive advancements in precise diagnostics, personalized financial planning, and optimized supply chain operations.
• Agentic AI ecosystems: Multi-agent AI systems will orchestrate tasks and revolutionize complex workflows, including autonomous supply chain management and adaptive, real-time customer engagement strategies.
• AI as a co-pilot: Generative AI will expand its role in software development, creative workflows, and complex decision-making, becoming indispensable across industries.
• Energy-efficient AI models: Generative AI innovations will increasingly reduce computational overhead, aligning with sustainability goals.

Generative AI isn’t just enhancing productivity – it’s enabling entirely new business models.”

Goutham Parcha, Vice President, Application Development, Pega India.

“Generative AI has undoubtedly evolved from a passing trend to a fundamental element driving innovation within enterprises. By 2025, its integration across industries will not only empower organizations to tackle complex challenges but also deliver measurable outcomes. We are already seeing domain-specific GenAI models leading this transformation by driving precision in diagnostics, personalizing financial strategies, and building real-time supply chain efficiencies. The transformative potential for GenAI is huge. Multi-agent AI ecosystems are revolutionizing workflows today, which is only set to expand in the future. These systems can provide contextually relevant and personalized responses based on an organization’s proprietary knowledge and seamlessly execute recommended actions, thereby improving operational efficiency.

Moreover, as an AI Assistant, it plays a crucial role in creative processes, legacy application transformation, dynamically generated insights, software development, and decision-making, making it indispensable in diverse fields. A noteworthy trend here is also the emergence of energy-efficient AI models, which align with global sustainability goals – minimizing computational overhead while maximizing performance. This dual focus on efficiency and innovation ensures that GenAI not only enhances productivity but also contributes to building sustainable, forward-thinking enterprises. This reflects the broader shift of GenAI from a conceptual hype to a fundamental enabler of new business models, underscoring its potential to shape the future of industries.”

 

Jayaprakash Nair, Head of Analytics – Data Science, Machine Learning, AI, Visualization at Altimetrik

“Generative AI or GenAI has evolved into a strategic asset at the heart of business transformation. GenAI is enhancing customer experiences, optimizing supply chains, and automating decision-making, significantly impacting industries. In India, the adoption rate stands at 74%, the highest in the Asia-Pacific region, highlighting its growing recognition as a competitive advantage.

The shift from isolated AI pilots to fully integrated enterprise solutions mark a key milestone in this evolution. GlobalData’s 2025 Tech Predictions report projects that the AI market will reach $1 trillion by 2030, with GenAI identified as the fastest-growing segment within the AI market.

To fully harness GenAI, organizations must focus on developing robust data architectures that enable the creation of tailored, task-specific solutions. This means aligning AI with business goals, streamlining processes, and fostering continuous value delivery across operations. At the same time, leaders must manage emerging risks like data privacy, accuracy, and model explainability, ensuring ethical and transparent AI deployments.

At Altimetrik, we see GenAI as a catalyst for redefining enterprise strategies. We focus on seamlessly integrating AI capabilities with business objectives, helping enterprises move beyond innovation to establish AI as a core pillar of their digital business frameworks.”

 

Ranga Jagannath, Senior Director – Growth, Agora

“2024 has been a groundbreaking year for real-time engagement technologies, powered by advancements in AI, WebRTC, and immersive communications. These innovations have redefined how people connect, enabling deeply personalized and empathetic experiences across industries like education, gaming, healthcare, and entertainment.

Generative AI has played a transformative role, enhancing productivity and streamlining operations across enterprises. This year has marked a pivotal step in integrating AI into workflows, laying the groundwork for even greater possibilities.

As we move toward 2025, the future of real-time engagement is set to become even more dynamic with the rise of Agentic AI. This next-generation technology will enable systems to autonomously adapt, solve complex problems, and deliver unparalleled, human-centric experiences, driven by AI, in real-time.

At Agora, we are at the forefront of this transformation, empowering developers and organizations to push the boundaries of real-time engagement and create meaningful, impactful connections in an increasingly AI-driven world.”

 

Kapil Mehta, VP of Data & AI, Visionet Systems

“As we move towards 2025, companies will adopt a set of transformational trends that will significantly redefine operations and drive business growth. A key shift will be the move from siloed data to a unified, data-driven culture that empowers teams to make informed decisions in real-time. This can be driven by the uptake of self-service tools as well as AI-powered software. Employees at all ranks can then access and study data without necessarily requiring any technical skills. Data democratization will thus go up and will break down those barriers.

Organizations will thus build collaborations, agility, innovation, and compliance with certain regulations such as GDPR, CCPA, among other regulatory compliance. The needs for Data-as-a-Service will also be advanced by this trend. Businesses will always require scalable real-time insights through intelligent APIs and dashboards, yet they will minimize their reliance on certain internal teams and accelerate certain innovation.

Alongside this, the adoption of advanced data architectures, such as data fabric and data mesh, will increase. Organizations will be able to manage diverse data across legacy systems, cloud platforms, and edge devices through these architectures, thereby streamlining decision-making and integrating various data sources into cohesive frameworks for real-time insights. Synthetic data will come to the forefront and solve issues of privacy and will train AI models faster with large realistic datasets without compromising sensitive information. As data will become a driving force in most businesses, embedded analytics will become the new norm, easily becoming a part of the workflow, improving user experience and productivity.

Moreover, the integration of generative AI and generative BI will transform business operations by making complex analytics accessible to all employees. Gen BI, powered by natural language processing, will empower teams across departments to run complex queries in real-time, speeding up decision-making and fostering a data-driven culture. Additionally, AI-as-a-Service will democratize AI tools, helping businesses tackle industry-specific challenges and improve customer engagement through hyper-personalization. In 2025, these trends will streamline operations but also promote business growth, innovation, and more relevant, personalized customer experiences.”

 

Tarun Desikan, SonicWall Executive Vice President of Product Strategy
Hype around improving security outcomes using Generative AI will die down
2024 saw some great concept security demos using GenAI models by ChatGPT, Anthropic, Google, etc. We saw AI SOC agents, AI policy generators, AI security admins and more. If you were expecting to see these demos make production-ready security products, think again. In 2025, we expect the rubber to meet the road – while the focus will switch from making exciting demos to making AI work in real-world scenarios, operationalizing GenAI to consistently improve security outcomes will turn out to be a very challenging problem. Turning hype to production will take significantly more time and, in 2025, the industry will acknowledge that reality.

There will a major cyberattack that uses “Mission Impossible-style” impersonation enabled by modern AI
In the Mission Impossible movie franchise, Tom Cruise and team make use of advanced techniques – latex 3d face masks, voice modulators, adaptive contact lenses and more – to impersonate people, enter restricted areas and save the world from destruction. In 2025, new AI capabilities will make what was only possible in the realm of movies available to the mainstream. And, as with all such new technologies, the bad guys will be amongst the first to take advantage. Unfortunately, the bad guys won’t be using impersonation to save the world; instead, they will launch more sophisticated spoofing and phishing techniques to launch cyberattacks against unsuspecting civilian organizations.

Chandrodaya Prasad, SonicWall Executive Vice President of Product Management
Rise of Ransomware-as-a-Service (RaaS)
Ransomware attacks will continue to increase in frequency and sophistication. The emergence of Ransomware-as-a-Service will make it easier for cybercriminals to launch attacks without technical expertise, leading to a broader range of organizations, including smaller businesses, becoming targets.

Proliferation of IoT Security Vulnerabilities
With the exponential growth of Internet of Things (IoT) devices, security vulnerabilities will become a critical concern. IoT devices, often with limited security features, will increasingly be exploited for launching attacks, resulting in the need for stronger IoT security protocols and frameworks.

 

Douglas McKee, SonicWall Executive Director, Threat Research
Advances in Quantum Computing Will Redefine Security Strategies
In 2025, the intersection of evolving cyber threats and quantum advancements will redefine security strategies, pushing innovation and international policy developments to safeguard critical systems and data. The focus will be on anticipating hybrid attacks that combine traditional tactics with advanced technology, reshaping the global cyber landscape.

Detecting Attack Origins Will Become Increasingly Difficult
The line between state and criminal operations will continue to blur further, making it increasingly challenging to attribute attacks. This may prompt stronger international collaboration on cybercrime policy, but effective attribution will remain a core challenge. Governments and private organizations must adapt to this evolving threat landscape, focusing more on proactive intelligence sharing and threat-hunting to disrupt collaborative efforts before they impact critical sectors.

2025 Will See the Rise of Quantum-Resistant Cryptography
While large-scale quantum decryption of algorithms like RSA or AES is unlikely in 2025, targeted attacks on specific or older cryptographic implementations may become more advanced. Despite ongoing “quantum apocalypse” fears being overstated, developing quantum-resistant cryptography will remain a priority for researchers and organizations as part of long-term resilience planning. Governments and private sectors will boost investments in post-quantum solutions, emphasizing broader cybersecurity measures to address potential early threats.

AI Will Augment Cybersecurity Protection Efforts Without Replacing Humans
AI will be a defensive tool and a strategic force multiplier in 2025. It will enable organizations to stay one step ahead of state-sponsored criminals, adapt to quantum threats, and protect critical infrastructure in an increasingly hostile threat landscape. AI’s continuous learning, predictive power, and automation will continue to redefine cybersecurity without replacing the human element, making it essential for both offense and defense to embrace and leverage as a tool in their tool belt.

Matt Neiderman, Chief Strategy Officer at SonicWall
Reverse Trending
Although cybersecurity developments tend to start at the enterprise and work down to the SME, several growing small and mid-enterprise developments will increasingly trend up into the enterprise. These include:
1) Favoring opex over capex by consuming more security as a service or a managed offering rather than maintaining internal SMEs and making large purchases to continuously refresh hardware.
2) Favoring ease of implementation and management over best of breed by consolidating from numerous vendors to a small number of vendors that offer a platform approach.
3) Outsourcing or offloading IT and cybersecurity work by favoring service providers over traditional consulting firms or resellers.

Cyber Insurance and 24×7 Monitoring Will Become the Norm
After a short post-COVID dip, the number of cyber-attacks continues to grow at an alarming pace, but more importantly, the average cost of a successful attack is growing at a higher pace and is predicted to grow at a high rate through at least 2029 (the average cost of a data breach in 2024 is $4.88 million). This will put pressure on firms of all sizes to have cyber insurance in place or risk a potentially existential crisis; insurance rate differences driven by best practices requirements will in turn put pressure on firms to adopt 24×7 monitoring of their security infrastructure, such that MDR, NDR and other SOC services will become the norm, particularly as the number of vendors providing those services grows.

Automation
A recent study of 3,000 global firms by Accenture found that the share of cybersecurity-related AI patents increased 2.7X between January 2017 and October 2022. The growing number of cyberattacks, the growing number of attack vectors due to remote work and IoT, the increase in cybersecurity tools and telemetry and the resulting number of alerts generated by cybersecurity tools will require more SOC services and other security as a service, which will in turn drive the need for significantly increased automation to manage alerts, block attempted intrusions, respond to successful intrusions and investigate incidents at a daunting scale. Both cybersecurity skills shortages and simple economics will require a human + machine approach to cybersecurity.

 

Mohammed Rafee Tarafdar, CTO, Infosys

“2025: Year of Scaled Reasoning, Small Language Models and Business Value Realization”

 2025 will be the year of small language models, scaled reasoning and business value realization. In 2025, we will see a lot of AI initiatives that are currently under rollout, to be scaled across enterprises, and businesses will start realizing some measurable business value along the lines of cost, growth, better experience, and risk protection. We are seeing increased investments in scaling inferencing which improves the reasoning capabilities, thereby enabling the agentic systems to be used to eliminate tasks and re-engineer the processes. We will move from operational processes to core industry specific business processes like customer onboarding, credit decisioning, risk management etc. As the small language models become more specialized and can deliver higher accuracy at lower cost, the adoption of these models in enterprises is likely to accelerate.

We expect the following trends to materialize in 2025:

• Small to medium-sized models delivering higher value to enterprises
• Agentic AI driving business process re-engineering and adaptive processes
• Poly AI architecture evolving to Poly agent Architecture
• Shift towards Services As Software
• Migration and modernization powered by gen AI accelerating cloud & data transformation

 

Jason Merrick, SVP of Product at Tenable

Everything, everywhere, all at once is not sustainable without context

“As the attack surface continues to expand and threat actors grow more sophisticated, cybersecurity teams will face an overwhelming flood of fragmented vulnerability and threat intelligence data. The days of linear attacks are fading, giving rise to multifaceted, rapid incursions that exploit numerous entry points. In this increasingly chaotic landscape, the inability to remediate everything, everywhere, all at once will make context king. Organisations that prioritise understanding the greatest risk to their business and the most critical vulnerabilities will win. This contextual approach will redefine vulnerability management, enabling cybersecurity teams to act strategically, swiftly, and with greater precision to mitigate threats effectively.”

Bob Huber, CSO and Head of Research at Tenable

AI adoption will outpace our ability to get educated on it and secure it

“By 2025, AI adoption will likely have already outpaced our ability to educate users and secure these rapidly evolving technologies fully. As organisations prioritise efficiency and return on investment, the adoption of technologies like AI and cloud continues to surge. However, this swift evolution presents a critical challenge: the knowledge gap. Many users and organisations are struggling to keep pace with the education and training needed to comprehensively understand and protect these technologies. This creates a pressing dilemma—how can we safeguard innovations like AI and cloud when their complexity and growth outstrip our readiness? The challenge for CISOs lies in striking a balance between driving forward technological adoption and ensuring the security and resilience of these tools. Bridging this gap sooner rather than later will be critical for organisations.”

Liat Hayun, VP of product and research, Tenable Cloud Security

Multicloud Security Will Dominate as CISOs Embrace Multi-Vendor Platforms

“Multicloud strategies will become the standard in 2025. Enterprises will become increasingly wary of ‘putting all their eggs’ in one cloud service provider basket due to the centralised risk that a single cloud service provider poses. As a result, more and more CISOs will start to prioritise multi-vendor security platforms to ensure consistent protection across diverse environments (i.e., meeting compliance requirements and securely scaling AI-driven workloads).”

Premalakshmi PR, vice president, technology cloud, Oracle India

“In 2025, the convergence of AI and multi-cloud will redefine how businesses operate, innovate, and compete. As organizations shift from experimentation to enterprise-wide AI implementation, the need for seamless, secure, and agile IT infrastructure becomes paramount. Bridging the gap between legacy systems and modern AI-driven workflows will require more than technology—it demands a strategic reimagining of IT operations. The industry has recognized that a multi-cloud approach, paired with AI-driven insights, is the most effective path to achieving these goals.

The future lies in a flexible multi-cloud ecosystem that empowers businesses to harness the full potential of AI without being constrained by infrastructure complexities. It enables businesses to integrate advanced database technologies seamlessly into their existing ecosystems, accelerating innovation without compromising on performance or interoperability. A multi-cloud strategy empowers organizations to choose the best capabilities from any of the cloud providers, catering to their specific needs. This is particularly critical as industries such as financial services, healthcare, and fintech and others that are evolving customer demands. We make it easier for customers to succeed with a multicloud strategy, so they can combine the right cloud services for their needs across multiple clouds. That’s the demand we are seeing. Oracle has forged deep partnerships with leading hyperscalers such as AWS, Google Cloud, and Microsoft Azure which is helping us expand.

In India, the cloud adoption curve continues to steepen, with 58% growth year-on-year and robust demand from sectors like banking and SMBs. The industry is also witnessing the rise of AI as a transformative force, helping organizations derive actionable insights, enhance customer experiences, and optimize operations. The era of AI and multi-cloud is here, and it’s reshaping industries by delivering the flexibility, scalability, and intelligence needed to thrive in a fast-evolving global marketplace.”

 

Shailesh Singla, vice president, Cloud Applications, Oracle India.

“As we step into 2025, AI agents are poised to revolutionize the workplace by enhancing employee productivity, enabling more meaningful roles, and reshaping how we interact with enterprise applications. According to a study by NASSCOM, AI’s impact on the workforce will be transformative, with agents not just automating tasks but augmenting human intelligence to drive efficiency in real-time decision-making and problem-solving.

At Oracle, we believe the future of AI agents will be marked by a seamless collaboration between humans and machines. These agents, powered by generative AI and large language models, will enable employees to interact with enterprise systems using natural language, making workflows more intuitive and less reliant on manual inputs. By 2025, AI agents will be productivity multipliers, autonomously managing complex workflows, and creating new ways for businesses to thrive in an increasingly competitive landscape.

However, this shift will also create a widening gap between organizations that embrace AI and those that don’t. The AI ‘haves’ will leverage these technologies to gain a competitive edge, enhance operational efficiency, and accelerate growth, while those that delay adoption risk falling behind. As AI becomes an integral part of business processes, organizations must invest strategically, focusing on quality and curation over sheer volume, ensuring they can maximize the long-term benefits of AI adoption.”

 

Varun Goswami, Head of Product Management, Newgen Software.

In 2024, low-code platforms have emerged as a cornerstone of digital transformation, empowering non-IT professionals to swiftly develop applications in a cost-effective manner. This year, organizations worldwide have witnessed a rapid rise in AI/ML, GenAI, and large language models, which are significantly reshaping industries.
While AI agents powered by GenAI can deliver real business benefits through high levels of straight-through processing, concerns about governance and explainability may hinder their adoption. In this context, C-suite leaders and business decision-makers will turn to Agentic Studio-enabled low-code orchestration platforms to drive growth and operational efficiency. These platforms will foster collaboration between AI agents and humans, helping to achieve business objectives while ensuring high levels of trust, auditability, and governance across both humans and AI agents.

 

Anku Jain, Managing Director, MediaTek India

“As intelligence takes center stage in technology innovations, the importance of chipsets becomes even more significant. From smartphones, smart homes, satellite connectivity, Generative AI, advanced 5G solutions across 5G FWA, and automotive connectivity to transformative technologies like AI and 5G, MediaTek has laid the foundation for a smarter and more connected world. We believe technologies like Agentic AI, Generative AI, advanced LLMs, and cloud computing have led to a tectonic shift in the industry. India is leading the AI adoption, surpassing the global average, projected to reach $17 billion by 2027. At MediaTek, we are well-positioned to integrate edge AI processing into our diverse product ecosystem. Our 8th-generation NPU in the flagship MediaTek Dimensity 9400 sets the benchmark for existing AI activities and supports AI agents. We are also focusing on bringing our advanced AI capabilities to the next generation of vehicles with the latest MediaTek Dimensity Auto Cockpit chipsets designed for the AI cockpit of the future.”

Agendra Kumar, Managing Director, Esri India

“Building a sizable AI computational capability and leveraging GIS for reforms and actions in the management of urban and rural land have been the key highlights of 2024 from the technology perspective. The country’s desire to be recognized as an all-around leader is the inspiration that is driving new research and applications of GIS and remote sensing data. Conducive policies have made it possible for the private sector to adopt location based analytics and data driven decision-making in sectors like agriculture, manufacturing, retail and financial services. Going forward we are looking at higher integration of GIS with new-age technologies such as AI, IoT, AR & VR, and Enterprise IT systems. Other trends like location-focused platform-as-a-service (PaaS), low-code and no-code platforms, 3D GIS, advanced imagery solutions, and digital twins will transform the way geospatial technologies are being consumed and used for developing advanced solutions for industries and masses alike.”

Sachin Saraf, EVP & Chief Operating Officer-DigiTech, Comviva

“As digital transformation continues to accelerate, the telecom industry is evolving to meet the demands of increasingly connected consumers. As 5G technology converges with Generative AI, BSS functionalities are being rewired to allow telecom operators to better serve their customers, optimize their operations, and unlock new streams of revenue. According to an IMARC study, the global market for OSS and BSS is expected to reach USD 142.9 billion by 2032, with a growth rate (CAGR) of 9.8% during 2024-2032 from the market size of USD 59.9 billion in 2023. The convergence of 5G and GenAI is not just a technological upgrade but a strategic imperative. By adopting GenAI-enabled SMART (Self-Monitoring, Adaptive, Real-Time and Transformative) capabilities and leveraging the power of 5G, CSPs have the potential to transform BSS from reactively driven systems into proactive engines for growth. Be it enabling seamless live sports streaming or driving customer engagement through personalized experiences, the marriage of these technologies is revolutionizing the realm of telecom. They lead the charge with innovative GenAI-powered BSS solutions that enable telecom operators to stay ahead of the curve. And more often at the head of the queue, 5G and GenAI promise the future of BSS is one of leading instead of merely keeping up-new benchmarks in both customer experience and operational excellence.”

Matthew Foxton, India Regional President & Executive Vice-President, Branding & Communications, IDEMIA Group

“2024 marked a transformative year for both payment and connectivity, as the rapid growth of 5G, IoT, and digital payments unlocked new opportunities for seamless, secure transactions. At IDEMIA Secure Transactions (IST), we are at the forefront of these shifts. As 5G and IoT drive unprecedented data exchange across devices, we prioritize protecting digital identities and privacy. In payments, our leadership in card issuance, digital services, and fraud reduction through encryption and EMV migration continues to shape the future. As we look to 2025, cryptography, tokenization, and biometric authentication will drive further innovation, while the rise of embedded payments, connected devices, and hyper-connectivity, particularly in the automotive sector, will create smarter, faster, and more secure transaction ecosystems. IST is committed to enabling the future of payments and connectivity, creating a unified and resilient global standard infrastructure.”

Ganesh Gopalan, Co-Founder and CEO, Gnani.ai

“2024 marked a pivotal year for generative AI, elevating it into a transformative force that redefined industries, from customer service to creative innovations. The year witnessed an exhilarating surge in AI-driven innovations, unlocking unparalleled advancements in efficiency, personalization, and automation. As we look into 2025, the widespread adoption of Small Language Models (SLMs) and Speech-to-Speech Large Language Models (LLMs) is poised to revolutionize sectors like customer support, healthcare, BFSI, automotive, and telecom. These technologies promise to deliver exceptionally precise, low-latency solutions tailored to specialized linguistic demands, with SLMs providing unmatched accuracy for niche tasks and Speech-to-Speech LLMs enabling seamless, real-time multilingual communication. Additionally, Agentic AI, which autonomously adapts and learns, empowers businesses with proactive decision-making and operational intelligence. As these models advance, they are primed to reshape the landscape of Gen AI, fostering a new era of intuitive, efficient, and deeply personalized interactions across the globe.”

Puru Rastogi, Co-founder & CEO, Mowito

“With a focus on precision, adaptability, and innovation, AI and robotics technologies will set new benchmarks, enabling real-time decision-making, predictive maintenance, and smarter robots. By enhancing productivity, reducing manual labor, and fostering safer workplaces, AI-driven automation will propel scalable growth and industrial prosperity. As India’s industrial landscape evolves, AI and robotics will empower dynamic supply chains, equipping workers with groundbreaking tools and shaping a future-ready, competitive ecosystem. The future is clear—2025 will herald a new era of agility and innovation.”

Lt. Gen. Dr. S.P. Kochhar, Director General, Cellular Operators Association of India (COAI)

“Indian telecom industry has embarked on an exciting journey in recent years, serving as a catalyst for the country’s socioeconomic growth. Owning a massive 1.2 billion telecom subscriber base, the average monthly data consumption per wireless data subscriber has touched 21.30 GB by October 2024. As of October 2024, over 4,60,592 5G BTS sites were installed, leading to a surge in the 5G user base, which crossed 125 million and is projected to reach 350 million by 2026. Fixed Wireless Access (FWA) emerged as a key 5G use case in India, with connections reaching nearly 3 million within a year of launch. As a major contributor to the GDP, the sector is providing employment opportunities for over 4 million people, directly and indirectly.

Key Growth Areas: AI and 6G

The rapid pace of digital innovations in telecom is evident from the massive adoption of Artificial Intelligence (AI) and GenAI technologies across areas like customer service, operational support, network optimisation and automation, predictive maintenance, fraud prevention and so on. According to KPMG India, 55% of the organisations in Technology, Media and Telecommunications (TMT) sectors in India have fully integrated AI, with 37% in the scaling phase.

India is now poised to lead the global race towards 6G, with an exciting opportunity to drive technological leadership. With the on-going efforts like the Bharat 6G Vision, the government aims to create 10% of 6G patents from India and is evaluating 470 proposals on ‘Accelerated research on 6G Ecosystem’. The Department of Telecommunications (DoT) has also funded two next-generation testbeds for advance 6G research.

 Challenges Impeding the Growth

Despite the promising advancements, the telecom industry faces several critical challenges, which disrupt the sustainable growth of the ecosystem.

 Fair share contribution from Large Traffic Generators (LTGs): The massive traffic created by LTGs has significantly strained telecom networks, compelling TSPs to invest an additional ₹10,000 crore in infrastructure in 2023, according to our study. While TSPs bear these costs, LTGs, without contributing, amass multiple incomes through subscriptions, ads and data-driven marketing, with revenues largely outside India’s tax ambit. COAI estimates a ₹800 crore loss to the Indian exchequer in AGR dues and taxes like GST from top 4-5 LTGs. To address this issue, COAI recommends supplementing the USOF with a Fair Share contribution from LTGs.

 OTT Regulation: The regulatory disparities prevailing in the sector are impacting the TSPs adversely, leading to concerns over market fairness, national security and user privacy. While TSPs comply with stringent security and compliance norms, the OTT communication services remain largely unregulated. This absence of OTT regulation under the new Access Service authorization perpetuates an uneven playing field. To address this, the government should enforce traceability and user privacy rules on all calling and messaging apps, as those platforms provide similar services using the internet network.

 Allocation of 6 GHz spectrum band: Based on IMT2020 requirement, GSMA estimates that 2 GHz of mid-band spectrum will be needed to meet the expected traffic growth in 5G in India. Since 6 GHz is the last remaining mid-band spectrum where city wide coverage can be provided with mobile networks, it is crucial that this band be allocated to IMT. Further, there is another growing concern of Wi-Fi 6E wireless routers operating on the 6 GHz band being sold illegally via e-commerce websites to consumers in India, although DoT has not decided with regard to its utilisation.

 Quality of Service (QoS): Despite meeting TRAI’s stringent QoS benchmarks, TSPs face persistent challenges like Right of Way (RoW) issues, spectrum interference and infrastructure constraints, hindering timely network rollouts. The Telecommunications Act 2023 introduced critical RoW amendments for uniform State laws, but timely implementation is crucial, especially for 5G expansion. Meanwhile, TSPs view the newly proposed QoS norms, including monthly and site-to-cell level reporting, as impractical and overly burdensome.

 Unsolicited commercial communication (UCC): TSPs, in collaboration with the government, have been addressing the concerns related to UCCs. In compliance with TRAI’s directives, telcos have implemented the Principal Entities-Tele Marketing (PE-TM) binding process to ensure traceable commercial messaging. However, to fully curb the menace of spam calls, the government should also bring the OTT communications service under the UCC regulation, as these unregulated platforms serve as the hotbed for such pesky communications.

 Telecom Equipment Theft: Telecom equipment theft has emerged as a major issue affecting Indian TSPs, incurring an estimated Rs. 800 crore in losses already. Industry sources reveal that over 17,000 radio remote units (RRUs) have been stolen during the first half of 2024 alone, causing major disruptions in 4G/5G expansions and impacting quality of mobile services.

 Direct-to-Mobile (D2M) network: The proposed D2M network poses new challenges for TSPs, as it undermines market fairness by creating a separate broadcasting network. COAI has called for transparent auctions of the sub-GHz (526-582 MHz) spectrum, integrating it into telecom networks to maintain fair competition. Additionally, the suggestion for a dedicated D2M network for disaster alerts is unnecessary, as cellular networks effectively deliver alerts via the Common Alerting Protocol (CAP) platform.

Progressive Measures Offer Respite to TSPs Amid Industry Concerns

Amidst these setbacks, there are progressive measures initiated by the government aimed at fostering growth and reducing financial burden on TSPs. The abolition of the Wireless Operating License (WOL) and the decision to waive bank guarantee (BG) requirements for deferred spectrum payments from auctions since 2012 are among the progressive measures in favour of the industry. The Hon’ble Supreme Court’s judgment affirming the industry’s right to claim credit for taxes and duties paid on towers and related parts emerge as further relief to the sector.

2024 marked a breakthrough year for Indian telecom industry, thanks to the massive collaborative efforts among operators, equipment vendors and industry experts, as well as the on-going support from the government, regulatory body and other stakeholders.  As the industry marches ahead with optimism, driven by aggressive growth strategies and network expansion plans, key challenges persist and they need to be addressed on priority. We are hopeful that TSPs’ continued collaboration with the government and other stakeholders will help them address these challenges to drive further innovation and propel the industry towards new milestones in the coming year.”

 

Sindhu Gangadharan, MD, SAP Labs India; Chairperson, nasscom

“As we look ahead to 2025, AI isn’t just an enabler anymore—it’s becoming the backbone of how industries innovate, scale, and solve their most complex challenges. We’re entering an exciting phase where AI is evolving from being assistive to becoming truly intelligent, with autonomous agents capable of making decisions and orchestrating entire ecosystems.

Custom AI in particular is emerging as a transformative force in 2025, allowing organizations to design AI solutions tailored to their specific needs. By leveraging domain-specific data and advanced model customization, businesses can develop AI applications that address unique challenges, from personalized customer experiences to industry-specific innovations. Industry analysis underscores the growing demand for differentiated AI solutions as enterprises seek to differentiate themselves in competitive markets. Custom AI empowers organizations to extract maximum value from their data while ensuring alignment with business goals. It enables organizations to gain a strategic edge by solving niche problems with precision and scalability. This trend is set to democratize AI innovation, making it accessible across industries and geographies.

For India, this is an incredible opportunity. As a global hub of technology and talent, we’re perfectly positioned to lead this AI-driven transformation. 2025 is where innovation meets purpose, and I truly believe India will play a defining role in shaping the future of AI for the world.”

 

Securonix 2024 Year Review & Predictions for 2025

As we enter 2025, the cybersecurity landscape will continue to evolve with new challenges and innovations. Here’s a glimpse into 2024 and crystal ball view into 2025

2024: Year in Review

• Rise in Threat Activity: Threat activity surged with cloud intrusions rising by 75% as organizations increasingly adopted cloud solutions
• Shift in Attack Strategies: Malware-free attacks grew, leveraging legitimate tools within environments instead of external malware
• Escalating Costs:The mean cost of a data breach had reached $4.88 million, thereby pointing to the severe need for advanced cybersecurity measures
• AI Integration:Securonix unveiled Eon, which integrated such innovation as insider threat detection through psycholinguistics, a clear example of how the industry was now turning to AI
• Insider Threats: Studies indicated that 60% of breaches occur through insider threats, making advanced behavioral analytics crucial

2025: Prepping for the Future

• AI in Cybersecurity:AI will make the SOCs more efficient, reducing the workload of analysts and making responses more efficient
• Quantum Computing and Encryption:The risks associated with emerging Quantum technologies have threatened encryption protocols, leading to the need for quantum-safe algorithms
• Insider Threats on Rise:The push for return-to-office poses insider risks with employees and hence the need for behavioral analytics is key
• Collaboration Among Organizations:Shared threat intelligence will increase, allowing organizations to identify and fight threats together
• Data Pipeline Management: Solutions for effective data routing, such as Securonix’s Cyber Data Fabric, will be critical in managing SIEM costs and optimizing analytics
• Expansion of MSSPs: MSSPs will become more prominent, supporting hybrid SOC models and handling advanced threat responses

Securonix’s Vision for 2025

Securonix believes in the empowerment of organizations through innovation and collaboration to stay ahead of the evolving threats with insights driven by AI and the cost-effectiveness of such solutions.

 

Sunil Sapra, Co-Founder & Chief Growth Officer, Eventus Security.

“The year 2024 has been transformative for Eventus Security, marked by significant global expansion and noteworthy achievements. From extending our presence across India, Southeast Asia, the Middle East, and Saudi Arabia to launching operations in North America, we have established ourselves as a trusted global leader in cybersecurity. Recognitions such as being named a Global Infosec Award Winner and ranking 82nd among the Top 250 MSSPs worldwide underscore the trust our customers place in us and the dedication of our growing team of over 250+ professionals.

Looking ahead to 2025, we are focused on driving innovation and delivering even greater value to our customers. With our AI-powered Eventus Platform leading the charge, we aim to enhance our managed security services, expand our reach, and build impactful partnerships that enable organizations to navigate the digital-first world with confidence. The future holds immense promise, and we are committed to safeguarding what matters most to our customers while setting new standards in cybersecurity excellence.”