Enterprises across sectors, from transportation and logistics to healthcare and education, continued to lean strongly on digital tools during 2025. Competitive pressure, rapid scaling and changing customer expectations pushed organisations to modernise processes that were earlier handled by manual workflows and legacy systems. As a result, technologies such as artificial intelligence (AI), machine learning (ML), analytics, cloud computing, internet of things (IoT) and robotics moved from selective pilots to wider adoption across functions and locations.
This shift is visible in the kind of technology deployments taking place across enterprises. For instance, State Bank of India is moving beyond basic chatbots to agentic AI that can understand complex queries and take action, while Hyderabad’s Rajiv Gandhi International Airport is using digital twin technology to track passenger flows and operations in near-real time. Overall, advanced technology is now being treated as a base requirement for differentiation and day-to-day efficiency, not as an optional add-on.
tele.net reviews the key technology trends that shaped the enterprise sector in 2025…
AI and ML
AI is emerging as a practical tool for faster decisions, fewer errors and better productivity across most enterprise sectors. In manufacturing, it is increasingly being used as an intelligence layer that helps plants move from reactive maintenance to predictive operations. This includes computer vision to detect micro defects, ML models for demand forecasting and AI-assisted product engineering. Companies such as Tata Steel, Maruti Suzuki, Coca-Cola and Mahindra have been using these tools to improve throughput and reduce stoppages and defects.
In banking, financial services and insurance (BFSI), AI has moved closer to the core. In addition to enhancing operational efficiency, the most impactful AI use cases are expected to cluster around three pillars: assessing creditworthiness using non-traditional data sources, preventing fraud and delivering personalised customer services. A Reserve Bank of India (RBI) analysis suggests that generative AI (GenAI) could significantly improve banking efficiency, as banks and fintech firms increase AI deployment for customer support and monitoring workflows. SBI’s agentic AI push and Paytm’s integration of AI across onboarding and transaction monitoring are examples of this wider shift in the sector.
Retail and consumer brands are using AI more directly in the customer journey to power personalised shopping assistance and support dynamic pricing decisions. Campaigns are becoming more data-led too, with brands testing GenAI for content at scale. Examples range from Ralph Lauren’s AI fashion assistant to Cadbury Silk’s GenAI-led campaign content, and Flipkart’s use of AI for dynamic pricing and inventory allocation. A major use of AI has come up in inventory planning based on demand forecasting as per seasonal requirements, hyperlocal consumption patterns and festival schedules. Additionally, AI is unlocking new revenue streams for retailers, as these tools can analyse competitor pricing from nearby stores or e-commerce platforms, and recommend real-time pricing strategies.
AI adoption is also expanding in public services and utilities, where the value case is tied to service quality, resource optimisation and faster response. Government initiatives have used AI for multilingual access and citizen support, while utilities are deploying AI and ML for energy demand planning, smarter water management and operational improvements. Some players are also combining AI with digital twins in industrial settings, such as in oil and gas facilities.
Beyond these, AI is reshaping multiple service-heavy sectors. In logistics, it is being used to predict demand, reduce delivery time and manage fleets more efficiently. In education, AI tools are helping automate tasks such as grading and attendance while supporting lesson planning and personalised learning. In media and entertainment, AI and ML are being applied across scripting, translation, recommendations and ad targeting. Similarly, AI adoption is growing in healthcare. It is enabling early detection, remote care and GenAI-based virtual coaching. The transport and travel industry is witnessing AI uptake in operations, automation and personalisation, from port automation and metro operations to trip planning and hotel service workflows.
IoT and smart sensors
If AI is the brain, IoT is the nerve network, comprising tiny sensors and trackers that feed live data. Across sectors, IoT is being used to improve live visibility, reduce downtime and bring predictability into operations that were earlier hard to track. In logistics, IoT is supporting real-time shipment monitoring, fleet management and warehouse efficiency, with companies using sensors and connected devices to reduce delays and improve handling, including for cold chain goods.
In government and utilities, IoT is increasingly tied to smart city operations and better service delivery. Integrated command and control centres are being used to manage city functions such as transport, water supply and waste management. In the power sector, utilities are deploying connected meters, supported by IoT connectivity and managed services, to improve billing accuracy and the customer experience. Additionally, water departments are adopting IoT-based monitoring platforms to reduce leakages and optimise supply.
Healthcare is seeing IoT adoption through internet of medical things (IoMT), where connected devices can collect patient data and enable remote monitoring. It is broadly categorised as clinical (including wearables and implants) and non-clinical (including equipment, location-based trackers and sensors for legacy devices). A key theme here is ensuring continuity of care even outside hospital settings. For instance, connected ambulance solutions now use sensors and live video monitoring, showing how healthcare is starting to combine AI and IoT to improve patient care.
Transport is another major area for IoT adoption. Airports and metros are using connected systems for operations, safety and predictive maintenance. Delhi airport’s unified total airside management system uses AI, ML, IoT and radars to reduce delays and enforce airside discipline, while the railways and state governments are using IoT tools for hygiene monitoring and safety initiatives. The maritime sector is undertaking similar modernisation initiatives through dedicated digital efforts.
Travel and hospitality are moving beyond pilots to routine deployments. Hotels are using occupancy sensors to link rooms with heating, ventilation and air conditioning (HVAC) systems, and reduce energy use, while maintenance teams get early alerts before failures. Indian Railways, too, is pushing sensor-led upgrades through plans for smart coach components and onboard diagnostics, aiming to shift from reactive to predictive maintenance. These changes are leading to fewer delays and smoother services for users.
Cloud computing
Cloud adoption is continuing to deepen across sectors, making scaling easier and reducing the burden of maintaining on-premises infrastructure. Media and entertainment is one of the foremost examples where cloud underpins over-the-top (OTT) streaming, content storage, encoding and distribution. It also supports post-production collaboration and cloud-based render farms, which help studios cut turnaround times and enable them to work across cities more smoothly. Xbox’s latest cloud gaming platform, launched in November 2025, is a key instance of how widely cloud adoption has grown in India.
Government and utilities are moving towards cloud-first approaches for smoother data integration, higher transparency and faster analytics. More departments are using cloud services through platforms such as MeghRaj. The National Highways Authority of India has, for example, adopted cloud-based systems to forecast delays and disputes, while utilities are partnering with hyperscalers to modernise operations and build smarter energy ecosystems, including through cloud-enabled smart meters.
In logistics, cloud is becoming the central layer that connects data from multiple nodes across the supply chain. With more real-
time data flowing from warehouses, fleets and partners, cloud platforms help coordinate operations without heavy infrastructure investments. Additionally, cloud-based solutions enhance data security through encryption and automated backups, mitigating the risks associated with cyberthreats and data loss. AI uptake is expected to rise sharply in the coming years, and global players can already be seen using cloud to optimise workflows and collaboration.
For the BFSI segment, cloud is increasingly linked to resilience and compliance. By moving workloads to the cloud, companies can launch new applications faster, scale resources dynamically during peak periods, and reduce the costs and complexities of maintaining traditional IT infrastructure. Going ahead, hybrid and multicloud environments are expected to become standard, while data localisation will be shaping cloud choices. RBI’s move towards an Indian financial services cloud reflects the push to keep sensitive data within national borders. Banks and insurers are also improving disaster recovery and business continuity using cloud-based multiregion set-ups, alongside hybrid architectures that combine the private and the public cloud.
Digital twins and immersive tech
Digital twins are gaining ground as a planning and optimisation tool, especially in manufacturing and industrial operations. By creating virtual replicas of machines, production lines or even entire plants, companies can test changes without disrupting production, monitor performance in near-real time and predict issues before they turn into failures. Adoption is visible globally and in India, with engineering and manufacturing players piloting twins for assembly layouts, traceability and process optimisation.
In transport, digital twins are being used to improve operational decision-making. Hyderabad’s Rajiv Gandhi International Airport, for example, has been deploying AI-powered twins that use real-time data to reduce disruptions and improve planning across airport workflows.
In education, immersive tools are gaining traction as they make learning more visual and interactive. Augmented reality (AR) and virtual reality (VR) are being used to bring abstract concepts into a more engaging format, including through virtual field trips and 3D learning modules. In subjects such as chemistry, AR videos and animations make it easier for educators to illustrate molecular structures and complex compounds. Edtech start-ups and school networks are exploring these tools to improve engagement and comprehension, with some institutions also using AR-led learning aids for younger students.
Retail and consumer brands are using immersive tech for engagement and conversion. Virtual trials, “magic mirror” experiences, and mixed-reality campaigns are being used to reduce friction in discovery and improve the buying experience. Additionally, by helping consumers better understand products before making a purchase, allowing brands to gain data-driven insights about consumer behaviour and helping merchants stand out in a congested market, AR/VR is helping reduce product returns. Nykaa’s Luxe store and Britannia’s mixed-reality print campaign are examples of this. Besides, brands are building faster,
more creative content pipelines using
GenAI and 3D renderings. At the same time, digital twin capabilities are expanding through better IoT data, cloud infrastructure and AI-enabled modelling, which make simulations more useful and easier to act on.
Blockchain
Blockchain is gaining traction in areas where trust, verification and transparent records are critical. In the BFSI segment, this is reflected in decentralised finance use cases, international remittances and KYC improvements. At a system level, the e-rupee pilot is also progressing, reflecting how digital currency and blockchain-linked approaches are being explored for more efficient and secure payments.
In logistics, blockchain is being positioned as a way to reduce delays and improve visibility by creating secure and tamper-proof transaction records. This is especially relevant for documentation-heavy processes, where different parties need access to the same data without constant reconciliation and manual checks. Companies are already implementing blockchain to improve supply chain security and tracking.
The media and entertainment sector is exploring blockchain for content ownership, rights management and royalty payments. The key use cases include secure content registration and timestamping for intellectual property (IP) protection against piracy, automated royalty payments via smart contracts, as well as disintermediated
content distribution via non-fungible
tokens (NFTs) and peer-to-peer networks. This extends to fan engagement through NFT-based tokens offering exclusive content, voting rights and access. Some platforms are experimenting with fan tokens and tokenised marketplaces for film rights, while others are linking blockchain to immersive content initiatives.
Healthcare is another area where blockchain is being discussed as a secure ledger that can improve the integrity and controlled sharing of patient data. It is being positioned as a layer that complements existing electronic record systems, rather than replacing them. Developments such as blockchain-based emergency health monitoring systems are showing how connected sensors and secure data logs can support faster response, especially when care needs to move across locations and providers.
Robotics and automation
Automation is moving closer to the shop floor and service counters. In manufacturing, robots and co-bots are increasingly used for repetitive, high-precision or physically risky tasks, especially in automotive and electronics assembly. Smart factory deployments demonstrate how robotics, AI and automation are being combined to improve safety, consistency and throughput, without the need for a proportional increase in the workforce vis-à-vis production growth.
Retail is increasingly adopting automation, driven by the need to improve customer engagement and minimise operational challenges. Robots are being considered for supporting store operations, while point-
of-sale (POS) automation is becoming more intelligent, incorporating self-healing
devices that can detect and fix common problems before they disrupt checkouts. These are small improvements, but they add up at scale for large retail networks. Furthermore, initiatives such as Make in India and skill development programmes with higher budget outlays are propelling the adoption of robotics solutions in retail environments, driving innovation and efficiency across the country’s retail industry.
In IT/information technology-enabled services (ITeS) and business process management, robotic process automation is a viable method for automating routine tasks across HR, finance and back-office operations. Enterprises are using software bots for activities such as verification, document creation, workflow management and system updates, which helps reduce errors and speed up response times. This also allows employees to focus on more complex tasks. Case studies and major automation deals show how these tools are being used to improve service delivery while enabling teams to focus on higher-value work.
Outlook
Next-generation technologies are moving into the centre of enterprise decision-making across sectors. The year 2025 saw the focus shifting from experimentation to execution. AI is being embedded into daily workflows, IoT is improving real-time visibility, and cloud is becoming the base layer for scaling operations and delivering services faster. As these tools mature, they will not only improve efficiency but also open up new revenue opportunities through smarter products, more personalised services and new digital-first business models.
However, the next phase will depend on how well enterprises address a few practical constraints. Cybersecurity will remain the first line of defence, especially as organisations expand their digital footprint and connect more assets and systems. At the same time, as many enterprises still operate on legacy platforms, ensuring smooth integration with newer tools will be critical to avoid fragmented systems and unreliable outcomes. Another key challenge is talent. While the adoption of these technologies is increasing fast, the ability to build, manage and scale them will depend on strengthening internal skills, upgrading training programmes, and developing teams that can work confidently with AI, data, automation and cyber tools.
Going forward, enterprises are likely to see stronger convergence between the physical and digital worlds. Digital twins, immersive platforms and automation will move beyond select pilots and become more targeted at solving high-impact problems, such as improving uptime, managing complex infrastructure and enhancing the customer experience. Over time, the most successful organisations will be those that treat technology as a long-term capability, not a short-term project, and align their investments with outcomes such as resilience, trust and sustained business growth.
Shashwat Singh
