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Globe and Mail
19-06-2025
- Business
- Globe and Mail
Treasury Management Market to Witness Strong Growth at 13.8% CAGR, Expected to Hit USD 16.31 Bn by 2032
According to Coherent Market Insights, The number of factors driving the growth of the global Treasury Management Market include increasing complexity of treasury operations, the need for greater efficiency and control, and growing demand for real-time information. The treasury management industry is undergoing a rapid shift driven by digital platforms, AI-driven analytics, and real-time risk monitoring. Organizations are prioritizing liquidity optimization and regulatory compliance, aligning with evolving business growth goals. Market Size and Overview The Global Treasury Management Market size is estimated to be valued at USD 6.6 Bn in 2025 and is expected to reach USD 16.31 Bn by 2032, exhibiting a compound annual growth rate (CAGR) of 13.8% from 2025 to 2032. This Treasury Management Market size reflects surging demand for cloud-based banks' treasury suites, API-enabled cash pooling and integrated risk analytics platforms. Request Sample Pages: Key Takeaways By Region: • North America: Early adopters of AI-driven cash forecasting and virtual account structures. • Latin America: Accelerating demand for FX risk modules amid currency volatility. • Europe: Strong uptake of regulatory reporting solutions under PSD2 and EMIR. • Asia Pacific: Fastest growth in mobile treasury apps and supply-chain liquidity tools. • Middle East: Rising investment in treasury dashboards for real-time compliance. • Africa: Emerging cross-border payment hubs amid expanding trade corridors. By Segment • Solution Type – TMS Software, Risk Management, Payment & Cash Management: TMS software adoption grew 45% in 2024 as corporates standardized on cloud deployments. • Deployment Mode – Cloud, On-Premises, Hybrid: Cloud deployments accounted for 52% of all implementations in 2024, enhancing scalability and cost predictability. • End-User Industry – Banking & Financial Services, Manufacturing, Retail & E-Commerce: Banks leveraged cash pooling to reduce inter-company borrowing costs by up to 20%. Growth Factors • Digital Transformation: 58% of global corporates increased budgets for Treasury Management Market growth drivers, such as real-time API integrations, in 2024. • Regulatory Compliance: Implementation of Basel III and IFRS 9 drove a 35% uptick in risk analytics module purchases in 2025. • Global Trade Recovery: Post-pandemic supply-chain stabilization boosted demand for FX hedging tools by 28% year-on-year in 2024, underpinning market growth. Market Trends • AI-Powered Forecasting: Treasury Management Market trends show AI-based cash-flow prediction accuracy at 92% in pilot deployments during 2025. • Blockchain-Enabled Payments: Distributed-ledger proof-of-concept trials reduced cross-border settlement times by 60% in select banks. • Embedded Banking Services: Corporate platforms offering embedded liquidity management reached 38% penetration among Fortune 500 firms in 2024. Get Customization on this Report: Actionable Insights • Supply-Side Indicators: Average subscription pricing rose 7% in 2024, while SaaS capacity scaled to support 1.2 million daily transactions globally. • Demand-Side Indicators: Import financing requests surged by 22% in Asia Pacific, driving treasury SaaS renewals to 87% in 2025. • Micro-Indicators: Number of API calls per treasury instance jumped 75% from 2023 to 2024, signaling intensifying integration. • Nano-Size Indicators: Over 120 fintech partnerships formed in 2024 to co-develop treasury modules, accelerating feature rollouts by 40%. • Treasury Management Market revenue expanded from USD 5.8 Bn in 2024 to USD 6.6 Bn in 2025, confirming robust market forecast accuracy. Key Players • Bank of America Corporation • Barclays Bank PLC • BNP Paribas • Citigroup Inc • Deutsche Bank AG • Goldman Sachs • J. P. Morgan Chase & Co. • Morgan Stanley • Standard Chartered • The Bank of New York Mellon Corporation • The PNC Financial Services Group, Inc. • UBS • U.S. Bank • Wells Fargo • East Point Asset Management Limited Competitive Strategies • J. P. Morgan's Treasury Connect API ecosystem expanded client retention by 18% in 2024 through seamless ERP integration. • Goldman Sachs integrated AI-driven treasury analytics, boosting upsell of advanced cash-forecasting modules by 25% in H1 2025. • Bank of America launched a cross-border liquidity hub, cutting transaction times by 45% and increasing corporate onboarding by 30%. FAQs 1. Who are the dominant players in the Treasury Management Market? Leading banks such as J. P. Morgan Chase & Co., Bank of America, Goldman Sachs, and Deutsche Bank AG hold significant Treasury Management Market share, leveraging digital platforms and global footprint. 2. What will be the size of the Treasury Management Market in the coming years? The Treasury Management Market size is forecast to grow from USD 6.6 Bn in 2025 to USD 16.31 Bn by 2032 at a CAGR of 13.8%, driven by real-time analytics and cloud adoption. 3. Which end-user industry has the largest growth opportunity? Banking & Financial Services continues to dominate spend, but Manufacturing and Retail & E-Commerce are rapidly increasing treasury budgets, presenting notable market opportunities. 4. How will market development trends evolve over the next five years? AI-powered forecasting, blockchain-enabled settlements, and embedded banking services are set to shape the major Treasury Management Market trends, intensifying automation. 5. What is the nature of the competitive landscape and challenges in the Treasury Management Market? Competition centers on platform integration, regulatory compliance modules and subscription pricing. Challenges include legacy system migrations and data security requirements. 6. What go-to-market strategies are commonly adopted in the Treasury Management Market? Key strategies involve strategic fintech partnerships, API ecosystem expansion, tiered subscription models, and localized compliance offerings, facilitating faster time-to-value. Buy this Complete Business Research Report: About Us: Coherent Market Insights leads into data and analytics, audience measurement, consumer behaviors, and market trend analysis. From shorter dispatch to in-depth insights, CMI has exceled in offering research, analytics, and consumer-focused shifts for nearly a decade. With cutting-edge syndicated tools and custom-made research services, we empower businesses to move in the direction of growth. We are multifunctional in our work scope and have 450+ seasoned consultants, analysts, and researchers across 26+ industries spread out in 32+ countries. Media Contact Company Name: Coherent Market Insights Contact Person: Mr. Shah Email: Send Email Phone: + 12524771362 Address: 533 Airport Boulevard, Suite 400, Burlingame, CA 94010, United States City: Burlingame State: Burlingame Country: United States Website:
Forbes
13-06-2025
- Business
- Forbes
Real-Time Data As The Catalyst For Enterprise Intelligence
Gowtham Chilakapati is a Director at Humana. He is an expert in enterprise data and AI systems with a focus on real-time analytics. getty Today's enterprises must operate with the precision of a living organism—continuously sensing change, adapting operations and making real-time decisions to maintain competitive advantage. Success no longer hinges on hindsight dashboards or quarterly reviews; it depends on how intelligently and swiftly an enterprise can respond to the present. Throughout my career, I've focused on re-architecting this responsiveness—not through incremental dashboard upgrades, but by rebuilding the cognitive core of the enterprise, from data pipelines to decision frameworks. Traditional BI systems are rearview mirrors. Informative, yes—but too delayed to navigate the sharp turns of customer behavior shifts, regulatory changes or supply chain turbulence. In contrast, real-time enterprises operate with telemetry-grade awareness, enabling proactive decisions at every node. In one engagement at a national health insurer, for example, my team and I helped transition from legacy batch processing to an event-driven architecture. Real-time synchronization across enrollment, application evaluation and compliance didn't just reduce exception rates and operational costs—it catalyzed a deeper shift in organizational behavior, replacing delay tolerance with an expectation of immediacy. This underscores a key insight: Real-time capability isn't just a technical upgrade—it transforms how an organization perceives and responds to change. Real-time transformation begins with diagnosing lag. Where in your value chain do decisions arrive too late? Then, look for sensory bottlenecks—systems that see data but too slowly. Begin small, prove value and, above all, treat every real-time win as a cultural muscle to be reinforced. AI: Only As Intelligent As The Systems It Touches Too many AI initiatives fail because they bolt intelligence onto the edges—after data's been flattened, delayed and diluted. True enterprise intelligence requires AI embedded within the real-time context: close to the source, close to the user and close to the moment of decision. At Humana, we saw this principle come to life with the deployment of our Perception-Augmented Retrieval-Augmented Generation (P-RAG) systems. Unlike traditional RAG architectures that rely on static search indices, P-RAG systems incorporate contextual signals—like tone, visual cues and system states—directly into the model's reasoning. This allows the AI to adapt in real time to unfolding interactions, delivering responses that are not only faster but also more relevant and human-aware. What sets these systems apart isn't just the efficiency gains. It's the dynamic feedback loop they create: Every interaction makes the next one smarter. The real innovation, then, isn't only technical—it's cultural. Success depends on building a workplace that's ready to trust, iterate and evolve with adaptive intelligence. For teams looking to put this into practice, here are a few key principles: • Start at the edge. Embed AI where decisions happen, not just in analytics labs. • Train in flow. Your model improves only as fast as your feedback loops. • Build for transparency. Traceability and explainability aren't "nice to have" in regulated industries—they're survival traits. Platform Modernization: Not A Lift-And-Shift—It's A Leap In Thinking Cloud migration is not modernization. Moving your data center into someone else's basement changes nothing unless you rethink what your platform means . In every successful initiative, I've found the key is to prioritize platformization —not just migration. That means creating reusable data services, real-time APIs and federated governance structures that allow teams to innovate without reinventing the wheel. Some key steps I've found beneficial when beginning a platformization approach include: • Inventory before investments are made. Use lineage mapping to identify which reports, jobs and APIs are redundant, misaligned or siloed. • Create a capability catalog. Define which services are reusable across business units. • Elevate architecture reviews. Make modernization a governance topic, not just a tech project. In one example, mapping dependencies across membership reporting systems led to the discovery of over 100 redundant SSIS packages. This paved the way for both cloud migration and enterprise simplification. The true unlock? A shared vocabulary of data, enabling agile governance and enterprise-scale observability. From Reporting To Responding: Building The Adaptive Enterprise The future of competitive advantage lies with adaptive enterprises—those that continuously evolve based on real-time insights. The convergence of analytics, AI and platform modernization is forming a digital nervous system for intelligent responsiveness. But beyond tools, this is a cultural transformation. Organizations must embrace: • Responsiveness over rigidity • Continuous learning over static optimization • Signal sensitivity over status reporting This isn't hypothetical. I've led these transformations in highly regulated industries where change isn't just hard—it's expensive. Yet, by aligning tech with truth in real time, these systems become not just efficient, but adaptive and intelligent by design. Success doesn't go to those with the biggest budget or flashiest dashboard—it goes to those who can sense, decide and act at the speed of relevance. That's the future I'm working to build: one signal, one system, one insight at a time. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
National Post
29-05-2025
- Business
- National Post
ClickHouse Raises $350 Million Series C to Power Analytics for the AI Era
Article content SAN FRANCISCO — ClickHouse, Inc., a leader in real-time analytics, data warehousing, observability, and AI/ML, today announced it has raised $350 million in Series C financing. The round was led by Khosla Ventures, with participation from new investors BOND, IVP, Battery Ventures, and Bessemer Venture Partners, as well as existing investors including Index Ventures, Lightspeed, GIC, Benchmark, Coatue, FirstMark, and Nebius. Today's round follows earlier investments of over $300 million, bringing total funding to over $650 million. Article content Article content This combined funding will be used to scale product development, support global expansion, and deepen partnerships with customers and technology providers building the next wave of AI-native applications. In addition to this financing, ClickHouse has secured a $100 million credit facility led by Stifel and Goldman Sachs. Article content The momentum behind ClickHouse is accelerating: the company grew over 300% during the past year and now serves over 2,000 customers across a range of industries from fintech and transportation to consumer and healthcare. New customers include Anthropic, Tesla, and Argentina's Mercado Libre, among others. They join companies such as Sony, Meta, Memorial Sloan Kettering, Lyft, and Instacart, as well as AI innovators Sierra, Poolside, Weights & Bases, Langchain, and more. Article content Today's announcement was made at ClickHouse's inaugural user conference, showcasing how enterprises are building data products to meet the demands of the agentic era. Article content 'As AI agents proliferate across data-driven applications, observability, data infrastructure, and beyond, the demand for agent-facing databases like ClickHouse has reached an inflection point. The future of analytics isn't just dashboards. It's intelligent agents that interpret data, trigger workflows, and power real-time decisions,' said Aaron Katz, CEO of ClickHouse. 'But AI is just one driver. We designed and built ClickHouse from day one to support a broad spectrum of real-time data applications across industries, and our momentum reflects that enterprises are hungry for a platform that can keep up with their scaling ambitions.' Article content 'We invested in ClickHouse because they're solving one of the most important infrastructure challenges of this era of AI and agents: enabling real-time data platforms that can support both traditional analytics and the growing demands of AI-native workloads,' said Ethan Choi, Partner at Khosla Ventures. 'As AI reshapes every industry, the ability to deliver fast, scalable, and cost-efficient analytics is becoming foundational, ClickHouse is poised to become the default engine for next-generation intelligent data products.' Article content The market traction around ClickHouse is rooted in a fundamental shift: enterprises are no longer just building dashboards or batch reports—they are building real-time, intelligent data platforms that must serve both human and AI agents. Since AI agents can generate queries much faster and at a higher rate than human analysts, agent-facing databases must support low-latency, interactive analytical queries at an increasingly high throughput. Article content ClickHouse was designed from the ground up to meet this demand. Its high-performance, columnar storage engine enables interactive, analytical queries across massive datasets with minimal latency—perfect for powering AI and ML applications, real-time analytics, cloud data warehousing, and observability workloads. Article content Built for Speed at Scale: High-Performance Analytics Across Industries Article content Traditional databases and warehouses are struggling to keep up with this demand. Transactional databases don't scale for analytical workloads. Meanwhile, traditional data warehouses are optimized for internal, batch-heavy use cases with limited concurrency and slow performance. Finally, search-oriented technologies become prohibitively expensive for structured analytics—using 10x more in storage and compute and limiting the practical range of applications due to cost. Article content By contrast, ClickHouse offers a purpose-built solution that bridges the gap—combining high-performance analytics with the scalability and concurrency that today's intelligent, data-driven applications require. Article content ClickHouse is a fast, open-source columnar database management system built for real-time data processing and analytics at scale. Engineered for high performance, ClickHouse Cloud delivers exceptional query speed and concurrency, making it ideal for applications that demand instant insight from massive volumes of data. As AI agents become increasingly embedded in software and are generating far more frequent and complex queries, ClickHouse brings a high-throughput, low-latency engine, purpose-built to meet this challenge. Trusted by leading companies like Sony, Tesla, Anthropic, Memorial Sloan Kettering, Lyft, and Instacart, ClickHouse helps teams unlock insights and drive smarter decisions with a scalable, efficient, and modern data platform. For more information, visit Article content Article content Article content Article content
