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Beyond AI spotlight: The silent tech disruptors of digital transformation


Where CIOs and CTOs should bet next in tech innovation.

 

insight
April 11, 2025
9 min read

Author

EugenEugen Rosenfeld
A CTO & a Solution Architect in Life Sciences at Nagarro. He has more than 20 years experience in different programming languages, technologies and business domains.


GenAI is dominating the headlines— and the boardroom attention. But it is just one part of the larger transformation across all industries. While AI is in the spotlight, a quieter technological revolution is happening behind the scenes. 

Technologies such as cloud computing, IoT, blockchain, quantum computing, and big data analytics may not make as much noise, but they are doing the heavy lifting. They are powering smarter systems, building stronger infrastructure, and helping businesses scale with speed and confidence. 

Besides supporting AI, these “silent disruptors”—they also enable true digital transformation. They make businesses more efficient, secure, and ready for what’s next. 

The message for CTOs and business leaders is clear— these technologies are not optional or of any less significance. They are a strategic must. In this article, we explore how these often overlooked tools are changing the industry — and why they’re essential to staying competitive, agile and future-proof. 

Silent disruptors: Digital transformation beyond AI
 

Tech for Digital transformation

1. Mobile technology
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Since the early 2000s, mobile technology has changed the way businesses engage with customers, employees and partners. What began as a “mobile-first” design trend has evolved into a powerful driver of cloud services, real-time data, and personalized digital experiences- all core to digital transformation. 

Today, mobile devices account for over 60% of global internet traffic. They are no longer just tools — they are platforms for productivity, digital innovation and engagement. 

Smartphones now enable instant shopping, remote working, intelligent insights and on-demand services. From retail to healthcare to logistics, mobile technology is changing how business is done. 

 

Key innovations in Mobile technology 

What's next

 

AR/VR experiences

Mobile-powered immersive tech is reshaping how we learn, shop, and play.

AI integration

Smart assistants and personalized apps are automating decisions and enhancing daily life. 

5G Connectivity

Lightning-fast speeds will power everything from real-time collaboration to ultra-responsive experiences across sectors.

Mobile innovation remains a key investment area, with the smartphone market projected to reach $1.7 trillion by 2030. CTOs need to look into integration of mobile-driven solutions into their strategies to avoid the risk of falling behind in a hyper mobile-first economy.
(Source: Market Data Forecast)

2. Cloud computing        
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Once the new kid on the block, cloud computing quickly became a cornerstone of modern IT. Pioneers such as Amazon (AWS), Microsoft (Azure) and Google (Google Cloud) led the way and steered businesses away from rigid local infrastructures towards flexible, scalable cloud solutions. Cloud computing is no longer optional but essential for all industries, for its capacity of increasing efficiency, reducing costs, and accelerating digital transformation. 

Key innovations in Cloud Computing

What’s Next 

 

Infrastructure-as-a-Service (IaaS)

What it is: On-demand access to computing, storage, and networking resources.

Innovation: Platforms like AWS EC2, Azure VMs, and Google Compute Engine support scalable workloads; technologies like Docker and Kubernetes enable microservices and modern app delivery. 

Software-as-a-Service (SaaS)

What it is: Web-based apps like Google Workspace, Salesforce, and Microsoft 365.

Innovation: Always-updated, scalable, and accessible across devices—fundamentally changing how businesses consume software. 

Platform-as-a-Service (PaaS)

What it is: Developer platforms like Azure App Services, Google App Engine, and Heroku.

Innovation: Streamlines app development and fosters CI/CD and DevOps practices by eliminating infrastructure management. 

Serverless Computing (FaaS)

What it is: Build and run apps without managing servers (e.g., AWS Lambda, Azure Functions).

Innovation: Powers event-driven architectures, accelerates deployment, and reduces operational complexity. 

AI & Machine Learning as a Service

What it is: Cloud-hosted AI frameworks (e.g., AWS SageMaker, Google AI, Azure ML).

Innovation: Offers pre-trained models, AutoML tools, and powerful compute—democratizing data science. 

Cloud security & identity management

What it is: Tools like AWS IAM and Azure AD secure cloud environments.

Innovation: Continuous threat monitoring, encryption, and multifactor authentication are now standard, raising the bar for enterprise cybersecurity. 

Cloud data analytics & big data solutions

What it is: Tools like Google BigQuery, Amazon Redshift, and Azure Synapse Analytics.

Innovation: Cloud unlocks large-scale data processing, real-time insights, and advanced analytics that were previously unattainable for most businesses. 

Quantum computing in the cloud

What it is: Cloud-based quantum access via IBM Quantum, Microsoft Azure Quantum, and Google Quantum AI.

Innovation: Allows researchers to experiment with next-gen algorithms and tackle high-complexity challenges without needing quantum hardware. 

These are just some of the innovations brought by Cloud Computing. Regarding investments, it is expected that by 2027, more than $1.4 trillion will be invested by organizations. This indicates that cloud computing is still an important technology to invest in.
(Source: Fierce Network)

 

3. Big Data and Advanced Analytics
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In today’s digital economy, data is a by-product and a strategic asset. The ability to process and utilize vast amounts of data in real-time has become critical in industries such as finance, healthcare, manufacturing and retail. 

With the advances in cloud infrastructure, artificial intelligence, and distributed computing, organizations now draw insights from complex data at unprecedented speed and scale. This transformation has significantly changed how decisions are made: instead of relying on instinct, it is now driven by deep, data-driven intelligence, driving digital transformation across sectors.

 

Key innovations in Big Data and Advanced Analytics

What’s next?  

 

AI-supported insights

Big data and AI are inextricably linked, enabling faster and smarter decisions through automation, predictive analytics and real-time intelligence. 

Real-time and edge analytics

With the rise of the Internet of Things (IoT), companies are moving data processing closer to the source— to reduce latency and increase real-time responsiveness. 

Cloud-driven scalability

Cloud platforms remain central to big data analytics and strategies, providing a flexible, cost-effective, and effortlessly scalable analytics infrastructure. 

Data governance and ethics

As data protection regulations tighten, businesses invest in stronger data governance, ethical frameworks, and transparent data usage practices. 

Data for all

Analytics tools are becoming more accessible, allowing non-technical users to explore, visualize and act on data, leading to a truly data-driven culture. 

The healthcare sector is emerging as a major driver of big data innovation, with investment in analytics expected to reach almost $79 billion by 2028. Businesses are increasingly integrating AI and machine learning into their big data strategies with the purpose of increasing processing power, gaining deeper insights, and enabling faster and more accurate decision-making. Given the growing volume of data and increasing complexity, these intelligent solutions are essential to remain competitive and responsive in a dynamic environment. 
(Source: explodingtopics)

4. Internet of Things (IoT)
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The Internet of Things (IoT) redefines digital transformation by embedding intelligence into the physical world. IoT is enabling real-time automation, smarter decision-making, and seamless interaction between— digital and physical systems; including everything from smart homes and connected vehicles to industrial machinery and urban infrastructure. 

5G powered and AI-driven devices and edge computing, IoT is now at the heart of modernizing sectors such as healthcare, manufacturing, agriculture and logistics— transforming everyday environments into dynamic, data-driven ecosystems. 


Key innovations in Internet of Things (IoT)

What’s next?

 

5G-powered expansion

Faster and more reliable connectivity will enable new real-time IoT applications — from autonomous vehicles to smart factories.

Edge intelligence

Data processing will increasingly occur at the network's edge, reducing latency and increasing responsiveness to critical operations. 

AI-supported optimization

AI and machine learning will improve IoT systems through predictive insights and automated decision-making.

Cybersecurity for the IoT

As the number of devices increases, securing IoT ecosystems will become a top priority — requiring stronger protocols and smarter threat detection.

 

The scale of IoT is huge — and growing. Global IoT investment is forecast to exceed $1 trillion by 2026, and the number of connected devices is expected to increase by 13% to 18.8 billion by the end of 2024. Businesses that incorporate IoT into their operations will gain efficiency, resilience, intelligence, and real-time adaptability. In a hyper-connected world, the winners will be those who respond to insights instantly and from anywhere. 

(sources: IoT Business News)

5. Blockchain technology
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Once synonymous with cryptocurrencies, blockchain technology is reshaping how businesses manage trust, transparency and digital transactions. Today, it is being used far beyond Bitcoin — by businesses, governments, and global supply chains. 

Blockchain at its core, provides a tamper-proof, decentralized ledger— one that offers unmatched integrity in environments where trust is critical. Whether streamlining global logistics or redefining finance, blockchain lays the foundation for a more transparent and secure digital economy, contributing significantly to digital transformation efforts in sectors like logistics, healthcare, and finance. 

Key Innovation in Blockchain technology

What's next?

 

Introduction at the company level

Blockchain is becoming increasingly important in finance, healthcare, logistics and administration — from pilot projects to mission-critical infrastructures.

Interoperability and integration

Expect to see growth in blockchain platforms that seamlessly connect with existing systems and across chains to enable broader ecosystem collaboration.

Tokenization of assets

From real estate to art to intellectual property, physical and digital assets are increasingly being tokenized to facilitate ownership, transfer and investment. 

Decentralized finance (DeFi)

Blockchain-backed platforms are disrupting traditional banking— and enabling access to global credit, trade and payment systems. 

 

Spending on blockchain solutions is projected to reach $19 billion by 2025, which is up from $6.6 billion in 2021. By 2032, the global blockchain market is expected to hit $825.93 billion, growing at an impressive CAGR of 52.8% (source).

As blockchain continues to mature, forward-thinking organizations are embracing it as a core element of digital trust, security, and operational efficiency—not just in fintech, but across every sector looking to modernize and future-proof its operations. 
(Source: DemandSage, BMI, Finance Middle East)

6. Social media and digital platforms
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Social platforms are among the digital age's most powerful—and polarizing—forces, playing a major role in digital transformation across communication, marketing, commerce, and media.  

Since the early 2000s, platforms such as Facebook, Twitter, Instagram and TikTok have changed how people connect, communicate and consume content. It reshaped personal relationships, marketing strategies, activism and journalism, creating entirely new business models and cultural norms. 

But besides their transformative power, these platforms have also sparked critical debates about privacy, misinformation, mental health and digital ethics. As engines of opportunity and controversy, social platforms are among the digital age's most powerful — and polarizing — forces. 

Key innovations in Social media and digital platforms

What’s next? 

 

Immersive social experiences

Expect a shift towards augmented and virtual reality social spaces that merge the metaverse with traditional platforms.

AI-driven content curation

Machine learning will increasingly tailor content, advertising and recommendations, making user experiences even more personalized. 

Platform consolidation and regulation

With growing concerns about privacy and misinformation, social platforms are facing increased regulation and calls for greater accountability. 

 

Social media is a dominant force in digital marketing, with the global digital advertising market expected to exceed $700 billion by 2025. Platforms such as Meta (Facebook/Instagram) account for almost 25% of this spending, reflecting a huge influence.  With 4.55 billion users worldwide spending more than two hours daily on social media, investing in digital platforms is imperative. For brands and businesses, they are the go-to destination for visibility, engagement, and customer loyalty.
(Source: GlobeNewswire, BMI, Statusbrew)

7.  Quantum computing
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Quantum computing is still in its early stages and can redefine the future of technology. Unlike classical computers, which process data in binary form, quantum computers use qubits, allowing them to perform complex calculations on huge data sets simultaneously. This breakthrough creates transformative potential in cryptography, materials science and artificial intelligence. 

Technology giants such as IBM and Google and a number of pioneering start-ups are working hard to develop practical quantum processors. Although it may be years before technology becomes mainstream, the foundations are already laid for a computing revolution that could solve unsolvable problems. 

What’s next? 

 

Government-funded innovation

Public funding will increase by more than 50% by 2023, reaching $42 billion globally, with the US, EU, China and other countries driving national quantum strategies.

Resilience of the private sector

While VC funding declined to $1.2 billion in 2023, the long-term outlook remains bright as startups focus on practical, near-term quantum solutions. 

Quantum-as-a-Service (QaaS)

Cloud providers such as IBM and Microsoft are democratizing access to quantum computing, supporting experimentation and developer readiness. 


Despite the fluctuations in private investment, quantum computing remains a strategic priority for global innovation and economic development. With its potential to generate up to $850 billion in economic value by 2040, quantum computing is more than a scientific milestone — it is a future commercial frontier. Companies that start exploring use cases and partnerships today will be better positioned to capitalize on tomorrow's quantum advantage. 
(Source: BCG)

8. Metaverse
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Often dismissed as hype, the metaverse is quietly becoming a powerful force for digital transformation. As the headlines continue, the rapid advances and accessibility of AR/VR technologies are bringing their potential closer to reality. 

Far beyond virtual gaming worlds, the metaverse redefines how we connect, collaborate, shop, learn and create. From immersive meetings and interactive storefronts to gamified training and digital twins in industry, it offers businesses a bold new platform for innovation and engagement. 

Key innovations in Metaverse

What’s next?

 

Accessibility of hardware

As AR/VR devices become more affordable and user-friendly, adoption will increase among consumers and businesses. 

Enterprise use cases

Expect growing investment in digital twins, virtual campuses, metaverse-based onboarding, training, and collaboration tools. 

Cross-platform interoperability

The next wave of growth will focus on creating unified, interoperable experiences across devices, platforms and use cases. 

The metaverse market is forecast to reach $936 billion by 2030, following a $120 billion surge in investment in the first half of 2022 alone (source). This is not a passing trend but a fundamental shift in how businesses engage with users, build communities and create value. As the digital economy evolves, the metaverse — alongside AI, cloud and IoT — will be a crucial area where forward-thinking companies compete and innovate. Investing now means building relevance, resilience and readiness for the next era of the digital economy. 
(Source: Axios and Grandviewresearch)

 

Leading beyond the AI spotlight

While Generative AI dominates the headlines, the real foundation for tomorrow's digital enterprise is laid by a wave of quiet disruptors. These are not peripheral trends — these are the backbone of digital transformation and change in how industries work, compete, and grow. 

For technology leaders, it is a clear call to look beyond AI. Don't just invest in what's popular; invest in what's powerful. It is time to turn disruption into opportunity—for greater resilience, agility, and long-term advantage. 

The future is not favoring the reactive, it stands by those who recognize change before it becomes apparent and act purposefully while others hesitate. 

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