GreenTech is reshaping finance by fusing technology with sustainability. From startups to large financial institutions, there’s a clear push to embed climate intelligence into financial decisions. In 2024, green fintech investments hit USD 2.7B – underscoring strong momentum and growing confidence in tech-led sustainability solutions.
The focus is sharp: drive financial innovation while delivering real environmental impact.
Here’s a look at key Green Finance trends that are reshaping the industry.
Click here to download “The Future of Finance is Digital – and Sustainable” as a PDF.
Catalysing Change: Impact Investing
Impact investing is going mainstream, especially in fast-growing emerging markets.
This shift reflects a growing realisation: private capital is critical to climate action, and tackling climate risks is a financial opportunity, not just an ethical choice.
AVPN (Asian Venture Philanthropy Network) has launched ImpactCollab – a platform linking finance professionals with verified impact organisations, due diligence tools, and monitoring resources. Initially used by private banks in Singapore to bolster philanthropy advisory, it will soon expand into blended finance and impact investing, backed by MAS.
Green bonds are also gaining momentum, driven by investor demand, regulatory tailwinds, and rising climate risk awareness. In Singapore, NUS, UOB, and Northern Trust piloted tokenised green bond reporting to boost transparency. India, meanwhile, opened its sovereign green bonds to foreign investors via the Fully Accessible Route (FAR), unlocking global capital for climate goals.
Empowering Customers with Carbon Insights
Carbon tracking is becoming a staple in digital banking, driven by a growing demand for transparency around environmental impact. Banks are responding by embedding carbon calculators into apps – enabling users to measure emissions, benchmark against national averages, and get actionable tips to reduce their footprint.
In Indonesia, Bank Mandiri has launched an in-app feature that helps customers track their personal carbon emissions, making it easy to understand the environmental impact of daily actions. The Royal Bank of Canada has partnered with a carbon management platform to offer businesses tools to monitor and manage their emissions.
These moves reflect a broader shift: banks are embedding sustainability into everyday financial behaviour and deepening customer engagement through purpose-driven services.
Blockchain-Enabled Carbon Trading
Blockchain is transforming carbon trading by enabling a decentralised, transparent, and secure way to verify and transact carbon credits.
This technology addresses long-standing issues of fraud and inefficiency, offering a more reliable and cost-effective approach to managing credits and meeting climate goals.
Thailand has eased crypto regulations to promote blockchain-based carbon trading, positioning itself as a leader in sustainable tech. Meanwhile, US-based financial services firm Northern Trust has launched a blockchain platform that allows project developers to generate, verify, and trade voluntary carbon credits in near real-time. Together, these moves signal a shift toward mainstream adoption of blockchain in carbon markets.
Addressing the Climate Risk Gap
As climate risks intensify, small and medium enterprises (SMEs) are seeking tools to assess and manage their exposure. Despite being highly vulnerable to climate events, SMEs often lack the resources to navigate complex risk landscapes.
Fintechs are stepping in with climate risk-scoring tools that help SMEs identify vulnerabilities and take proactive steps – such as securing insurance or adapting their strategies.
Marsh has highlighted the need for SME-focused climate assessments in New Zealand, particularly for high-risk sectors. Its Climate Risk Navigator helps businesses build resilience and make informed decisions on insurance and sustainability. In India, insurers like ICICI Lombard are using geospatial tech – GIS, satellite imagery, and AI – to power climate-linked products. For example, its satellite-based insurance for wheat farmers in Punjab enables faster, more accurate yield assessments and claim settlements.
Rise of Climate-Conscious Crypto
Once criticised for high energy use, crypto mining is undergoing a green makeover – fuelled by surplus renewable energy and optimised by AI.
What was seen as wasteful is now being reimagined as a tool for grid stability and sustainable growth.
In Switzerland’s Canton of Bern, Bitcoin mining is being explored as a way to absorb excess power and stabilise the grid. In the UK, mining firms are tapping into unused wind energy during off-peak hours to avoid waste. This shift is reaching emerging markets too – Pakistan is converting surplus electricity into value by launching state-backed Bitcoin mining and AI data centres, turning untapped power into economic opportunity.
Ecosystm Opinion
Becoming truly sustainable presents a unique challenge for financial organisations, as their responsibility extends beyond internal operational efficiencies to actively empowering customers and the wider ecosystem to embrace green practices. This is compounded by a growing reliance on increasingly compute-intensive and energy-inefficient technologies.
The recent and growing emphasis on Green Finance offers a promising outlook, suggesting a positive shift in the industry’s trajectory towards a more sustainable future.
Advanced technology and the growing interconnectedness of devices are no longer futuristic concepts in health and life sciences – they’re driving a powerful transformation. Technology, combined with societal demands, is reshaping drug discovery, clinical trials, patient care, and even our understanding of the human body.
The potential to create more efficient, personalised, and effective healthcare solutions has never been greater.
Click here to download “Future Forward: Reimagining Health & Life Sciences” as a PDF.
Modernising HR for Enhanced Efficiency & Employee Experience
The National Healthcare Group (NHG), a leading public healthcare provider in Singapore, recognised the need to modernise their HR system to better support 20,000+ healthcare professionals and improve patient services.
The iConnect@NHG initiative was launched to centralise HR functions, providing mobile access and self-service capabilities, and streamlining workflows across NHG’s integrated network of hospitals, polyclinics, and specialty centres.
The solution streamlined HR processes, giving employees easy access to essential data, career tools, and claims. The cloud-based platform improved data accuracy, reduced admin work, and integrated analytics for better decision-making and engagement. With 95% adoption, productivity and job satisfaction surged, enabling staff to focus on care delivery.
Automating Workflows for Better Patient Outcomes
Gold Coast Health handles a high volume of patient interactions across a wide range of medical services. The challenge was to streamline operations and reduce administrative burdens to improve patient care.
The solution involved automating the patient intake process by replacing paper forms with electronic versions, freeing up significant staff time.
A new clinical imaging solution also automates the uploading of wound images and descriptions into patient records, further saving time. Additionally, Gold Coast Health implemented a Discharge to Reassess system to automate follow-ups for long-term outpatient care. They are also exploring AI to simplify tasks and improve access to information, allowing clinical teams to focus more on patient care.
Streamlining Operations, Improving Care
IHH Healthcare, a global provider with over 80 hospitals across 10 countries, faced a fragmented IT landscape that hindered data management and patient care.
To resolve this, IHH migrated their core application workloads, including EMRs, to a next-gen cloud platform, unifying data across their network and enhancing analytics.
Additionally, they adopted an on-prem cloud solution to comply with local data residency requirements. This transformation reduced report generation time from days to hours, boosting operational efficiency and improving patient and clinician experiences. By leveraging advanced cloud technologies, IHH is strengthening their commitment to delivering world-class healthcare.
Creating Seamless & Compassionate Patient Journeys
The Narayana Health group in India is committed to providing accessible, high-quality care. However, they faced challenges with fragmented patient data, which hindered personalised care and efficient interactions.
To address this, Narayana Health centralised patient data, providing agents with a 360-degree view to offer more informed and compassionate service.
By automating tasks like call routing and form-filling, the organisation reduced average handling times and increased appointment conversions. Additionally, automated communication tools delivered timely, sensitive updates, strengthening patient relationships. The initiative has improved operational efficiency and deepened the organisation’s patient-centric focus.
Reimagining Location Services for Digital Healthcare
Halodoc, a leading digital health platform in Indonesia, connects millions of users with healthcare professionals and pharmacies.
To improve key services like home lab appointments and medicine delivery, Halodoc sought a more cost-effective and secure location service.
The transition resulted in an 88% reduction in costs for geocoding and places functionalities while enhancing data security. With better performance monitoring, Halodoc processed millions of geocoding and place requests with no major issues. This migration not only optimised costs but also resolved long-standing technical challenges, positioning Halodoc for future innovation, including machine learning and AI. The move strengthened their data security and provided a solid foundation for continued growth and high-quality healthcare delivery across Indonesia.
Driving Efficiency & Accessibility through Integrated Systems
Lupin, a global pharma leader, aimed to boost patient care, streamline operations, and enhance accessibility. By integrating systems and centralising data, Lupin wanted seamless interactions between patients, doctors, and the salesforce.
The company implemented a scalable infrastructure optimised for critical business applications, backed by high-performance server and storage technologies.
This integration improved data-driven decision-making, leading to optimised operations, reduced costs, and improved medicine quality and affordability. The robust infrastructure also ensured near-zero downtime, enhancing reliability and efficiency. Through this transformation, Lupin reinforced its commitment to providing patient-centred, affordable healthcare with faster, more efficient outcomes.
Leveraging AI for Cloud Security
Mitsubishi Tanabe Pharma’s “VISION 30” seeks to deliver personalised healthcare by 2030, focusing on precision medicine and digital solutions. The company is investing in advanced digital technologies and secure data infrastructure to achieve these goals.
To secure their expanding cloud platform, the company adopted a zero-trust model and enhanced identity management.
A security assessment identified gaps in cloud configuration, prompting tailored security improvements. GenAI was introduced to translate and summarise security alerts, reducing processing time from 10 minutes to just one minute, improving efficiency and security awareness across the team. The company is actively exploring further AI-driven solutions to strengthen security and drive their digital transformation, advancing the vision for personalised healthcare.
The Manufacturing sector, traditionally defined by stable processes and infrastructure, is now facing a pivotal shift. Rapid technological advancements and shifting global market dynamics have rendered incremental improvements inadequate for long-term competitiveness and growth. To thrive, manufacturers must fundamentally reimagine their entire value chain.
By embracing intelligent systems, enhancing agility, and proactively shaping future-ready operations, organisations can navigate today’s industrial complexities and position themselves for sustained success.
Here are recent examples of Manufacturing transformation in the Asia Pacific.
Click here to download “Future Forward: Reimagining Manufacturing” as a PDF.
Intelligent Automation & Efficiency
Komatsu Australia, a global industrial equipment manufacturer, tackled growing inefficiencies in its small parts department, where teams manually processed hundreds of PDF invoices daily from more than 250 suppliers.
To streamline this, the company deployed intelligent automation – AI now extracts and validates data from invoices against purchase orders and inputs it directly into the legacy mainframe.
The impact has been sharp: over 300 hours saved annually for one supplier, 1,100 invoices processed in three weeks, and a dramatic drop in manual errors. Employees have shifted to higher-value tasks, and a citizen developer program is enabling staff to build custom automation tools. With a scalable framework in place, Komatsu has not only transformed invoice processing but also set the stage for broader automation across the enterprise.
Data-Driven Insights & Agility
Berger Paints India Ltd., a leader in paints and coatings, needed to scale fast amid rising database loads and complex on-prem systems.
In response, Berger Paints migrated its mission-critical databases and core business applications – covering finance, manufacturing, sales, and asset management – to a high-performance cloud platform.
This shift boosted operational efficiency by 25%, doubled reporting and system response times, and enhanced scalability and disaster recovery with geographically distributed cloud regions. The move simplified access to data, driving faster, insight-driven decision-making. With streamlined infrastructure management and optimised costs, Berger Paints is now poised to leverage advanced technologies like AI/ML, setting the stage for continued innovation and growth.
Connected Operations & Customer Centricity
JSW Steel, one of India’s leading steel producers, set out to shift from a plant-centric model to a customer-first approach. The challenge: integrating complex systems like ERP, CRM, and manufacturing to streamline operations and improve order fulfillment.
With a robust integration platform, JSW Steel connected over 32 systems using 120+ APIs – automating processes and enabling real-time data flow across orders, inventory, pricing, and production.
The results speak for themselves: faster order fulfillment, reduced cost-to-serve, and real-time visibility that optimises scheduling. Scalable, composable APIs now support growth, while a 99.7% success rate across 7.2 million API calls ensures reliability. JSW Steel has transformed how it operates – running faster, serving smarter, and delivering better customer experiences across the entire order-to-cash journey.
Modernising Core Systems & Foundational Transformation
Fujitsu General, a global leader in air conditioning systems, was constrained by a 30-year-old COBOL-based mainframe and fragmented processes. The legacy system posed a Y2K-like risk and limited operational agility.
The company implemented a modern, unified ERP platform to eliminate risk, streamline operations, and boost agility.
By integrating functions across sales, production, procurement, accounting, and HR and addressing unique business needs with low-code development, the company created a clean, adaptable core system. Robust integration connected disparate data sources, while a central repository eliminated silos. The transformation delivered seamless end-to-end operations, standardised workflows, improved agility, and real-time insights – setting Fujitsu General up for continued innovation and long-term resilience.
Powering Growth with a Modern Network
As a critical supplier to India’s infrastructure boom, Hindalco needed to modernise its network across 55 sites – improving app performance, enabling real-time insights, and building a future-ready, sustainable foundation.
Hindalco replaced its ageing hub-and-spoke model with a modern mesh architecture using SD-WAN.
The new architecture prioritised key app traffic, simplified cloud access, and enabled segmentation. Centralised orchestration and SSE integration brought automation and robust security. The impact: 30% lower costs, 50% faster apps, real-time visibility, rapid deployment, and smarter bandwidth. Hindalco now runs on a lean, secure digital backbone – built for agility, performance, and scale.
Home to over 60% of the global population, the Asia Pacific region is at the forefront of digital transformation – and at a turning point. The Asian Development Bank forecasts a USD 1.7T GDP boost by 2030, but only if regulation keeps pace with innovation. In 2025, that alignment is taking shape: regulators across the region are actively crafting policies and platforms to scale innovation safely and steer it toward public good. Their focus spans global AI rules, oversight of critical tech in BFSI, sustainable finance, green fintech, and frameworks for digital assets.
Here’s a look at some of the regulatory influences on the region’s BFSI organisations.
Click here to download “Greener, Smarter, Safer: BFSI’s Regulatory Agenda” as a PDF.
The Ripple Effect of Global AI Regulation on APAC Finance
The EU’s AI Act – alongside efforts by other countries such as Brazil and the UK – signals a global shift toward responsible AI. With mandates for transparency, accountability, and human oversight, the Act sets a new bar that resonates across APAC, especially in high-stakes areas like credit scoring and fraud detection.
For financial institutions in the region, ensuring auditable AI systems and maintaining high data quality will be key to compliance. But the burden of strict rules, heavy fines, and complex risk assessments may slow innovation – particularly for smaller fintechs. Global firms with a footprint in the EU also face the challenge of navigating divergent regulatory regimes, adding complexity and cost.
APAC financial institutions must strike a careful balance: safeguarding consumers while keeping innovation alive within a tightening regulatory landscape.
Stepping Up Oversight: Regulating Tech’s Role
Effective January 1, 2025, the UK has granted the Financial Conduct Authority (FCA) and Bank of England oversight of critical tech firms serving the banking sector. This underscores growing global recognition of the systemic importance of these providers.
This regulatory expansion has likely implications for major players such as AWS, Google, and Microsoft. The goal: strengthen financial stability by mitigating cyber risks and service disruptions.
As APAC regulators watch closely, a key question emerges: will similar oversight frameworks be introduced to protect the region’s increasingly interconnected financial ecosystem?
With heavy reliance on a few core tech providers, APAC must carefully assess systemic risks and the need for regulatory safeguards in shaping its digital finance future.
Catalysing Sustainable Finance Through Regional Collaboration
APAC policymakers are translating climate ambitions into tangible action, exemplified by the collaborative FAST-P initiative between Australia and Singapore, spearheaded by the Monetary Authority of Singapore (MAS).
Australia’s USD 50 million commitment to fintech-enabled clean energy and infrastructure projects across Southeast Asia demonstrates a powerful public-private partnership driving decarbonisation through blended finance models.
This regional collaboration highlights a proactive approach to leveraging financial innovation for sustainability, setting a potential benchmark for other APAC nations.
Fostering Green Fintech Innovation Across APAC Markets
The proactive stance on sustainable finance extends to initiatives promoting green fintech startups.
Hong Kong’s upcoming Green Fintech Map and Thailand’s expanded ESG Product Platform are prime examples. By spotlighting sustainability-focused digital tools and enhancing data infrastructure and disclosure standards, these regulators aim to build investor confidence in ESG-driven fintech offerings.
This trend underscores a clear regional strategy: APAC regulators are not merely encouraging green innovation but actively cultivating ecosystems that facilitate its growth and scalability across diverse markets.
Charting the Regulatory Course for Digital Asset Growth in APAC
APAC regulators are gaining momentum in building forward-looking frameworks for the digital asset landscape. Japan’s proposal to classify crypto assets as financial products, Hong Kong’s expanded permissions for virtual asset activities, and South Korea’s gradual reintroduction of corporate crypto trading all point to a proactive regulatory shift.
Australia’s new crypto rules, including measures against debanking, and India’s clarified registration requirements for key players further reflect a region moving from cautious observation to decisive action.
Regulators are actively shaping a secure, scalable digital asset ecosystem – striking a balance between innovation, strong compliance, and consumer protection.
Ecosystm Opinion
APAC regulators are sending a clear message: innovation and oversight go hand in hand. As the region embraces a digital-first future, governments are moving beyond rule-setting to design frameworks that actively shape the balance between innovation, markets, institutions, and society.
This isn’t just about following global norms; it’s a bold step toward defining new standards that reflect APAC’s unique ambitions and the realities of digital finance.
The education sector is evolving rapidly, driven by technological innovation and shifting societal needs. This transformation extends beyond digitisation, requiring a fundamental rethink of how students and employees engage. AI-driven personalisation, immersive virtual environments, and data analytics are reshaping curricula, teaching strategies, and operational efficiency.
Here are recent examples of transformation across the Asia Pacific.
Click here to download “Future Forward: Reimagining Education” as a PDF.
Streamlining Service Delivery
Griffith University struggled with fragmented systems and siloed information, leading to inconsistent service and inefficiencies. Managing support for over 45,000 students became unsustainable, demanding a streamlined solution.
By adopting an enterprise service management platform, Griffith consolidated multiple portals into a single system, automating ticketing, request management, and AI-driven self-service.
Starting with library services, the transformation expanded across IT, HR, legal, and other functions, improving accessibility and collaboration. The impact was immediate: self-service surged by 87%, first-contact resolution jumped by 43%, and incident resolution time dropped by 25%. Call volume fell 31% and email inquiries 46%. Now scaling the platform university-wide, Griffith is streamlining service for students and staff.
AI for Recruitment & Content
The Indian Institute of Hotel Management (IIHM) sought to improve recruitment efficiency and enhance educational content creation. Manual hiring processes were slow and inconsistent, while developing high-quality learning materials was resource-intensive.
IIHM implemented an AI-driven platform to automate candidate assessments and generate accurate, engaging educational content.
This transformation cut interview times by half, improved hiring precision to 90%, and boosted student job placements by up to 30%. AI-generated materials reached 95% accuracy, creating a more effective learning experience. With stronger recruitment and enriched education, IIHM continues to reinforce its leadership in hospitality training.
AI-Accelerated Research
La Trobe University sought to harness GenAI to streamline research operations and accelerate market entry. Researchers faced challenges in accessing university-approved knowledge efficiently, while limited development capabilities slowed the commercialisation of research findings.
By implementing a retrieval-augmented generation (RAG) system, La Trobe enabled rapid, AI-powered access to research data, initially tested on autism studies.
Simultaneously, the university co-developed an AI-driven application to transform research into market-ready solutions faster. AI-driven development reduced time from months to weeks, with core components built in under a week. By leveraging in-house AI tools, La Trobe achieved an 8.7x cost reduction compared to outsourcing. This initiative positioned the university as a leader in AI-driven innovation, bridging the gap between academia and industry.
AI-Driven Personalisation
BINUS University aimed to future-proof its operations and student learning experiences. With GenAI reshaping education, the university sought to integrate AI into administration and teaching to boost efficiency and deliver adaptive, personalised learning.
BINUS has integrated AI across key areas, driving efficiency and personalisation.
AI-powered student intake predictions have reached 90% accuracy, optimising resource allocation across 14 campuses. GenAI automates Diploma Supplement Document (DPI) creation, reducing manual effort and improving accuracy. AI enhances the library system with personalised book recommendations and powers the AI Tutor for faster, tailored academic feedback. AI-driven language learning platforms further boost student engagement.
Unified Digital Workflows
Western Sydney University (WSU) faced inefficiencies from over 32 shared email addresses and paper-based forms, causing delays, poor inquiry tracking, and complicated administration – hindering timely, effective support.
WSU launched WesternNow to replace outdated systems with a unified digital platform, streamlining service requests, enhancing case tracking, cutting manual processes, and improving the user experience for students and staff.
This made WSU’s service delivery more responsive and efficient. The platform drastically improved efficiency, cutting request logging time from over 4 minutes to seconds. Staff tracked and resolved cases seamlessly without sifting through emails. Workflow digitisation eliminated most paper forms, saving time and resources, while consolidating forms into services reduced their number by 40%.
The tech industry is experiencing a strategic convergence of AI, data management, and cybersecurity, driving a surge in major M&A activity. As enterprises tackle digital transformation, these three pillars are at the forefront, accelerating the race to acquire and integrate critical technologies.
Here are this year’s key consolidation moves, showcasing how leading tech companies are positioning themselves to capitalise on the rising demand for AI-driven solutions, robust data infrastructure, and enhanced cybersecurity.
AI Convergence: Architecting the Intelligent Enterprise
From customer service to supply chain management, AI is being deployed across the entire enterprise value chain. This widespread demand for AI solutions is creating a dynamic M&A market, with tech companies acquiring specialised AI capabilities.
IBM’s AI Power Play
IBM’s acquisitions of HashiCorp and DataStax mark a decisive step in its push to lead enterprise AI and hybrid cloud. The USD 6.4B HashiCorp deal that got finalised this year, brings Terraform, a top-tier infrastructure-as-code tool that streamlines multi-cloud deployments – key to integrating IBM’s Red Hat OpenShift and Watsonx AI. Embedding Terraform enhances automation, making hybrid cloud infrastructure more efficient and AI-ready.
The DataStax acquisition strengthens IBM’s AI data strategy. With AstraDB and Apache Cassandra, IBM gains scalable NoSQL solutions for AI workloads, while Langflow simplifies AI app development. Together, these moves position IBM as an end-to-end AI and cloud powerhouse, offering enterprises seamless automation, data management, and AI deployment at scale.
MongoDB’s RAG Focus
MongoDB’s USD 220M acquisition of Voyage AI signals a strategic push toward enhancing AI reliability. At the core of this move is retrieval-augmented generation (RAG), a technology that curbs AI hallucinations by grounding responses in accurate, relevant data.
By integrating Voyage AI into its Atlas cloud database, MongoDB is making AI applications more trustworthy and reducing the complexity of RAG implementations. Enterprises can now build AI-driven solutions directly within their database, streamlining development while improving accuracy. This move consolidates MongoDB’s role as a key player in enterprise AI, offering both scalable data management and built-in AI reliability.
Google’s 1B Bet on Anthropic
Google’s continued investment in Anthropic reinforces its commitment to foundation model innovation and the evolving GenAI landscape. More than a financial move, this signals Google’s intent to shape the future of AI by backing one of the field’s most promising players.
This investment aligns with a growing trend among cloud giants securing stakes in foundation model developers to drive AI advancements. By deepening ties with Anthropic, Google not only gains access to cutting-edge AI research but also strengthens its position in developing safe, scalable, and enterprise-ready AI. This solidifies Google’s long-term AI strategy, ensuring its leadership in GenAI while seamlessly integrating these capabilities into its cloud ecosystem.
ServiceNow’s AI Automation Expansion
ServiceNow’s USD 2.9B acquisition of Moveworks completed this year, marking a decisive push into AI-driven service desk automation. This goes beyond feature expansion – it redefines enterprise support operations by embedding intelligent automation into workflows, reducing resolution times, and enhancing employee productivity.
The acquisition reflects a growing shift: AI-powered service management is no longer optional but essential. Moveworks’ AI-driven capabilities – natural language understanding, machine learning, and automated issue resolution – will enable ServiceNow to deliver a smarter, more proactive support experience. Additionally, gaining Moveworks’ customer base strengthens ServiceNow’s market reach.
Data Acquisition Surge: Fuelling Digital Transformation
Data has transcended its role as a byproduct of operations, becoming the lifeblood that fuels digital transformation. This fundamental shift has triggered a surge in strategic acquisitions focused on enhancing data management and storage capabilities.
Lenovo Scaling Enterprise Storage
Lenovo’s USD 2B acquisition of Infinidat strengthens its position in enterprise storage as data demands surge. Infinidat’s AI-driven InfiniBox delivers high-performance, low-latency storage for AI, analytics, and HPC, while InfiniGuard ensures advanced data protection.
By integrating these technologies, Lenovo expands its hybrid cloud offerings, challenging Dell and NetApp while reinforcing its vision as a full-stack data infrastructure provider.
Databricks Streamlining Data Warehouse Migrations
Databricks’ USD 15B acquisition of BladeBridge accelerates data warehouse migrations with AI-driven automation, reducing manual effort and errors in migrating legacy platforms like Snowflake and Teradata. BladeBridge’s technology enhances Databricks’ SQL platform, simplifying the transition to modern data ecosystems.
This strengthens Databricks’ Data Intelligence Platform, boosting its appeal by enabling faster, more efficient enterprise data consolidation and supporting rapid adoption of data-driven initiatives.
Cybersecurity Consolidation: Fortifying the Digital Fortress
The escalating sophistication of cyber threats has transformed cybersecurity from a reactive measure to a strategic imperative. This has fuelled a surge in M&A aimed at building comprehensive and integrated security solutions.
Turn/River Capital’s Security Acquisition
Turn/River Capital’s USD 4.4 billion acquisition of SolarWinds underscores the enduring demand for robust IT service management and security software. This acquisition is a testament to the essential role SolarWinds plays in enterprise IT infrastructure, even in the face of past security breaches.
This is a bold investment, in the face of prior vulnerability and highlights a fundamental truth: the need for reliable security solutions outweighs even the most public of past failings. Investors are willing to make long term bets on companies that provide core security services.
Sophos Expanding Managed Detection & Response Capabilities
Sophos completed the acquisition of Secureworks for USD 859M significantly strengthens its managed detection and response (MDR) capabilities, positioning Sophos as a major player in the MDR market. This consolidation reflects the growing demand for comprehensive cybersecurity solutions that offer proactive threat detection and rapid incident response.
By integrating Secureworks’ XDR products, Sophos enhances its ability to provide end-to-end protection for its customers, addressing the evolving threat landscape with advanced security technologies.
Cisco’s Security Portfolio Expansion
Cisco completed the USD 28B acquisition of SnapAttack further expanding its security business, building upon its previous acquisition of Splunk. This move signifies Cisco’s commitment to creating a comprehensive security portfolio that can address the diverse needs of its enterprise customers.
By integrating SnapAttack’s threat detection capabilities, Cisco strengthens its ability to provide proactive threat intelligence and incident response, solidifying its position as a leading provider of security solutions.
Google’s Cloud Security Reinforcement
Google’s strategic acquisition of Wiz, a leading cloud security company, for USD 32B demonstrates its commitment to securing cloud-native environments. Wiz’s expertise in proactive threat detection and remediation will significantly enhance Google Cloud’s security offerings. This move is particularly crucial as organisations increasingly migrate their workloads to the cloud.
By integrating Wiz’s capabilities, Google aims to provide its customers with a robust security framework that can protect their cloud-based assets from sophisticated cyber threats. This acquisition positions Google as a stronger competitor in the cloud security market, reinforcing its commitment to enterprise-grade cybersecurity.
The Way Ahead
The M&A trends of 2025 underscore the critical role of AI, data, and security in shaping the technology landscape. Companies that prioritise these core areas will be best positioned for long-term success. Strategic acquisitions, when executed with foresight and agility, will serve as essential catalysts for navigating the complexities of the evolving digital world.
AI’s biggest impact in an organisation is on the tech teams.
From automating IT support to optimising infrastructure, development, and security, AI is transforming the way tech teams work. IT leaders are leveraging AI to boost productivity, cut costs, and drive innovation at scale.
Here’s how tech leaders are coming together to push AI initiatives forward.
Great customer engagement takes effort, but AI gives customer success leaders the edge to do more.
Ecosystm research shows that while 60% of Sales, Marketing, and CX leaders see productivity gains from AI, there’s still untapped potential. AI can deepen engagement, reduce churn, boost upsell opportunities, and drive real financial impact.
Here’s where customer success leaders stand today – and where the biggest gaps remain.
Ecosystm research finds that 54% of organisations place cost savings as the key focus of AI adoption. This explains why Operations shapes AI and use cases.
But the teams often lack control over data and solutions.
Overcoming these gaps will be crucial for stronger execution and long-term success.
Here’s where Operations leaders stand today.
