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Clinical Trial Management System (CTMS) Market size is set to grow by USD 1.86 billion from 2024-2028, Increasing healthcare expenditure boost the market, AI Role and Impact, Technavio

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NEW YORK, Aug. 23, 2024 /PRNewswire/ — The global clinical trial management system (CTMS) market size is estimated to grow by USD 1861 mn from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of almost 14.27%  during the forecast period. Increasing healthcare expenditure is driving market growth, with a trend towards increasing outsourcing of clinical trial process. However, rising cost of clinical trials  poses a challenge. Key market players include Advarra Inc., Aris LLC, Clinion Inc., Crucial Data Solutions Inc., Dassault Systemes SE, DATATRAK International Inc., DSG Inc., Ennov SAS, eResearchTechnology GmbH, International Business Machines Corp., Laboratory Corp. Of America Holdings, MasterControl Solutions Inc., Medfiles USA, MedNet, Oracle Corp., Parexel International Corp., PHARMASEAL, RealTime Software Solutions LLC, Veeva Systems Inc., and Wipro Ltd..

Get a detailed analysis on regions, market segments, customer landscape, and companies- View the snapshot of this report

Clinical Trial Management System (CTMS) Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 14.27%

Market growth 2024-2028

USD 1861 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

12.65

Regional analysis

North America, Europe, Asia, and Rest of World (ROW)

Performing market contribution

North America at 42%

Key countries

US, Germany, China, Canada, and UK

Key companies profiled

Advarra Inc., ArisGlobal LLC, Clinion Inc., Crucial Data Solutions Inc., Dassault Systemes SE, DATATRAK International Inc., DSG Inc., Ennov SAS, eResearchTechnology GmbH, International Business Machines Corp., Laboratory Corp. Of America Holdings, MasterControl Solutions Inc., Medfiles USA, MedNet, Oracle Corp., Parexel International Corp., PHARMASEAL, RealTime Software Solutions LLC, Veeva Systems Inc., and Wipro Ltd.

Market Driver

In the pharmaceutical industry, the shift towards outsourcing drug discovery processes to subcontract laboratories has gained significant traction over the last decade. This trend has been driven by the need for increased R&D investments and the high cost of building and maintaining in-house research facilities. As a result, numerous small companies have opted to focus on manufacturing and marketing, while outsourcing testing and research to external partners. The number of subcontract laboratories has surged since 2011, and this trend is expected to continue. This outsourcing model has enabled companies to carry out research and testing at a fraction of the cost of building and maintaining their own facilities. The popularity of this approach is not limited to developed countries like the US, the UK, Germany, and Japan, but has also gained acceptance in emerging economies such as India and Brazil. The high volume of data generated during the drug discovery process necessitates the use of Clinical Trial Management Systems (CTMS) to manage and analyze data effectively. Consequently, the growing outsourcing trend is fueling demand for CTMS solutions in the pharmaceutical industry. 

The Clinical Trial Management System (CTMS) market is experiencing significant trends that are shaping the future of clinical trials. Robust reporting and centralizing recruitment are key priorities for multinational companies and local CROs alike. ERegulatory, eSOURCE, accounting, and aggregate reporting are essential features for ensuring regulatory compliance and trial efficiency. Digitalization, personalized medicine, and decentralized trials are driving innovation, with outsourcing and externalization becoming more common. Cloud-based CTMS, telemedicine solutions, and decentralized clinical trials are on the rise, especially in the context of vaccines and COVID-19 trials. Investment in AI and advanced technologies is also increasing to streamline processes and reduce costs. System security, backups, upgrades, and uptime consistency are crucial for maintaining trust and confidence in CTM systems. Regulatory policies continue to evolve, requiring ongoing oversight and adaptation. Overall, the market for CTM systems is growing, with trends including ERT, Bioclinica, Healthcare IT, and network-wide visibility. 

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Market Challenges

Clinical trials are a crucial part of bringing new drugs to market, but their rising costs are a significant concern for pharmaceutical companies. One major factor contributing to these costs is the difficulty and lengthy process of patient enrolment and retention. According to various studies, the average cost per patient in clinical trials in the US is approximately USD41,117, with phase 3 trials being the most expensive, costing around USD20 million. Another factor is the increasing need for extensive clinical data collection due to new regulations, leading to complex and costly trials, particularly for chronic diseases. The longer the trial duration, the higher the costs, making some clinical research associates prefer manual work over management systems for cost-cutting. To mitigate these costs, it’s essential to increase patient awareness and encourage more participation. Pharmaceutical companies should focus on educating patients rather than persuading them, leading to a potential solution for the unhindered growth of the clinical research industry.In the dynamic healthcare IT landscape, Clinical Trial Management Systems (CTMS) have become essential tools for managing complex clinical trials. However, implementing and managing CTMS comes with challenges. Decentralized trials, vaccine development, and telemedicine solutions have increased the need for cloud-based CTMS. Costs, system security, backups, and upgrades are key concerns. Uptime consistency, centralization of data, growth, and automation are important for clinical trial managers. AI and machine learning algorithms streamline processes, but ensure access to data on devices like mobile workstations, laptops, tablets, and online dashboards. Trial planning, monitoring activities, regulatory procedures, supplies, finance, and subscription-based software upgrades require careful consideration. Scalability, add-ons, regulatory norms, document management processes, data quality, participant safety, and adherence to regulatory norms are ongoing challenges. Solutions like Clinion’s CTMS, IWRS/RTSM, EDC, eCOA, and accruals/deviations systems help address these challenges.

For more insights on driver and challenges – Request a sample report!

Segment Overview 

This clinical trial management system (ctms) market report extensively covers market segmentation by

Deployment 1.1 On-premise1.2 CloudEnd-user 2.1 Pharmaceutical and biotechnology companies2.2 CROs2.3 OthersGeography 3.1 North America3.2 Europe3.3 Asia3.4 Rest of World (ROW)

1.1 On-premise-  The Clinical Trial Management System (CTMS) market primarily consists of on-premises and cloud-based deployment models. While on-premises CTMS offers enhanced data security and control, it necessitates substantial investments in infrastructure and maintenance costs. These factors may impede the growth of the CTMS market during the forecast period. However, large firms with adequate resources prefer on-premises solutions due to the perceived higher level of data security. Notable on-premises CTMS vendors include Siebel and IMPACT. Despite the challenges, the on-premises segment is expected to expand in the global CTMS market due to the security benefits it provides to large organizations.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2017-2021) – Download a Sample Report

Research Analysis

The Clinical Trial Management System (CTMS) market is a significant segment of Healthcare IT, enabling the efficient and effective management of clinical trials. With the increasing focus on decentralized clinical trials and the development of vaccines, the demand for advanced CTMS solutions is surging. Cloud-based CTMS is gaining popularity due to its accessibility and scalability, while telemedicine solutions facilitate remote patient monitoring. IWRS/RTSM, EDC, eCOA, accruals, deviations, and regulatory compliance are essential features of CTMS. Robust reporting, outsourcing, and externalization are key considerations for multinational companies and local CROs. The market is witnessing significant investment, driven by the need for scalability and regulatory policies. Clario and other innovative solutions are transforming CTMS with features like real-time data access and integration with ERT.

Market Research Overview

The Clinical Trial Management System (CTMS) market is a significant segment of Healthcare IT, witnessing robust growth due to the increasing adoption of decentralized clinical trials, particularly in the development of vaccines. CTMS solutions are increasingly moving to cloud-based platforms, enabling telemedicine solutions and remote monitoring. The COVID-19 pandemic has accelerated this trend, with the need for remote trial management and data access. CTM systems facilitate trial planning, monitoring activities, regulatory procedures, supplies management, finance, and accounting. They offer centralization of data, ensuring uptime consistency, system security, backups, and upgrades. AI, machine learning algorithms, automation, and digitalization are key features, enabling clinical trial managers to access data from devices, mobile workstations, laptops, tablets, and online dashboards. Costs, system security, and data quality are critical factors, with subscription-based models, software upgrades, add-ons, and regulatory norms influencing market growth. CTMS systems include IWRS/RTSM, EDC, eCOA, accruals, deviations, scalability, and robust reporting. Centralizing recruitment, eRegulatory, eSOURCE, accounting, aggregate reporting, network-wide visibility, and oversight are additional benefits. The market caters to multinational companies, local CROs, and outsourcing entities, with decentralized trial models, evidence-based facilities, and regulatory policies driving investment.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

DeploymentOn-premiseCloudEnd-userPharmaceutical And Biotechnology CompaniesCROsOthersGeographyNorth AmericaEuropeAsiaRest Of World (ROW)

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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U.S. Quartz Workers: Strong Safeguard Remedies Needed to Save 100,000 American Manufacturing Jobs

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July 23, 2026

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WASHINGTON, July 23, 2026 /PRNewswire/ — The Quartz Manufacturers Alliance for America (QMAA) released a powerful video featuring quartz manufacturing workers from across the country calling for free and fair trade policies to save 100,000 American jobs. QMAA, a coalition of leading U.S.-based quartz slab manufacturers, are calling for strong safeguard remedies after the U.S. International Trade Commission (ITC) found a huge flood of foreign imports had caused tremendous injury to the domestic quartz industry.

QMAA members are urging the Trump Administration to build on the ITC’s strong recommendation and address this major flood of quartz imports with a Tariff of 50% and a Reshoring Import Cap of 141 million square feet on imported quartz surface products. This will ensure a reshoring of the good-paying U.S. quartz manufacturing jobs stolen by companies who cheat U.S. trade law, distort competition and are decimating U.S. quartz manufacturing. Together, these trade remedies will provide the relief necessary to save the 100,000 jobs supported by the U.S. quartz industry.

The video features workers from LX Hausys, Guidoni USA and Cambria Company and is available here:
Save 100,000 American Quartz Jobs

Quotes from QMAA Quartz Manufacturing Workers
“This facility used to be a Husqvarna plant. Husqvarna closed down due to cheap foreign imports. There were over 1,000 people working here and all of a sudden…I’m worried I may see the same thing take place again.”
-Raymond Mack, Production Operator, Guidoni USA, Helena-McRae, GA

“Foreign countries, mainly China, Thailand, Malaysia, Vietnam, Indonesia, have been circumventing and cheating the American market. We believe in the industry. We believe in the American working power. We just want to level the playing field, make it fair for everyone and everyone will benefit.”
– Daniel Vas de Melo SA, Business Development Manager, Guidoni USA, McRae-Helena, GA

“In order for us to continue to compete, we need a strong Tariff and Import Cap on imported quartz surfaces. That will ensure we can play on an even playing field. That’s all we’re asking for. I would hate to see cheap, imported quartz have a negative impact on families such as mine and the other families that we employ here.”
– Mike Morici, Vice President – LX Hausys, Adairsville, GA

“The surge of foreign imports has shocked the U.S. economy, and the market for surfaces. It’s taken prices down to unsustainably low levels for any domestic supplier. The result of that is we’re not producing as much as we should, we can’t hire as many people as we would like to, and we can’t grow our business in the way that we and our peers in the U.S. want to grow.”
– Andrew Eich, President and Chief Operating Officer, Cambria

“As these foreign imports flood the market, we lose the ability to create and sustain jobs that ensure good paying conditions for manufacturing workers. There will be over 100,000 jobs that have the strong potential to go away.”
– Jack Sundry, SVP Core and Lexus – Cambria, Southern Minnesota

Background
In September 2025, QMAA filed a Global Safeguard petition with the U.S. International Trade Commission (ITC) under Section 201 of the U.S. Trade Act of 1974. The ITC’s thorough investigation found serious injury to the domestic industry caused by a massive import surge designed to undercut American businesses. Quartz imports have surged by 78.3% within the past five years, leading to a nearly 20% decline in domestic production, factory closures and major job reductions.

A final safeguard decision from the United States Trade Representative is expected by Aug. 1, 2026.

About the Quartz Manufacturing Alliance for America:
QMAA is a coalition of U.S.-based, American quartz slab manufacturing factories, united with other industry leaders to support and strengthen the American quartz industry. QMAA is committed to ensuring a free and fair, competitive marketplace born of free enterprise that provides the opportunity to compete on a level playing field for American quartz slab manufacturing factories and their valued workers. We also believe this effort will have a positive impact throughout the entire quartz surfacing industry, including to the strong benefit of American stone fabrication shops and upstream suppliers of quartz minerals and resin. Learn more at: https://www.qmaa.org/

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SOURCE Quartz Manufacturing Alliance of America

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Databricks and Microsoft expand partnership to help enterprises bring business context to enterprise AI

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58 minutes ago

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July 23, 2026

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Databricks and Microsoft extend strategic partnership through the 2030s to scale enterprise AIDatabricks deepens its bet on Azure, growing its use of Azure Databricks to run its own core business operations and analytics, while both companies advance native integration across the Microsoft stack, including Databricks Genie and Microsoft 365Databricks increases its use of Microsoft Azure Cobalt to improve performance and efficiency

REDMOND, Wash. and SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Microsoft Corp. and Databricks on Wednesday announced an expansion of their decade-long strategic partnership, extending into the 2030s. Databricks will deepen its use of Azure Databricks to run core business operations and build its unified lakehouse, while leveraging Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency. Microsoft will also continue integrating Databricks Data and AI platform across its products, bringing capabilities like Genie, Databricks’ AI co-worker, directly into customer workflows. Together, the companies are helping enterprises build AI grounded in their own business context with the cost efficiency, control and choice needed to scale successfully.

Enterprises want AI that understands their customers, products, operations, metrics and business processes, all while running securely where work happens. Yet, most still struggle to connect AI to trusted business knowledge, govern models and agents consistently, and control costs. Microsoft and Databricks are helping customers close that gap: 

“For nearly a decade, Databricks and Microsoft have helped enterprises innovate with data and AI,” said Ali Ghodsi, Co‑Founder and CEO of Databricks. “Today, our partnership is stronger than ever. With Databricks Genie and Unity AI Gateway deeply integrated across Microsoft’s products, we’re helping enterprises unify their data and ground AI in business knowledge. This lets customers get the full benefits of agents and models while controlling costs and ensuring governance.”

“The next generation of AI will be defined by how effectively organizations turn their unique knowledge into intelligence,” said Judson Althoff, CEO, Microsoft Commercial Business. “Microsoft and Databricks are helping customers connect data, AI and business context to accelerate decision-making and drive measurable impact. With Databricks deepening its investment in Azure Databricks and Azure Cobalt-powered infrastructure, customers will benefit from greater performance, efficiency and scale for their most demanding workloads. Databricks’ decision to run its own core business operations on Azure Databricks also gives customers confidence in a platform proven at enterprise scale.”

Databricks runs core business operations on Azure Databricks 

As part of this latest deal, Databricks deepens its commitment to Azure, running its own core business operations and analytics on Azure Databricks, using the very platform it delivers to customers at scale.

Advancing performance with Azure Cobalt

Databricks will also expand its use of Azure Cobalt, Microsoft’s next-generation Arm-based infrastructure, to improve performance and efficiency for agentic and data-intensive workloads. Databricks currently uses Cobalt 100 and plans to adopt Cobalt 200, which delivers up to 50% better performance and includes memory encryption enabled by default.

Deep integrations for Databricks Genie and Unity AI Gateway with Microsoft product stack

By combining the Databricks Data + AI Platform with Azure’s global scale, customers can accelerate AI transformation while maintaining control and reliability. As a native Azure service, Azure Databricks makes its AI capabilities available directly within customers’ existing Microsoft environment, grounding and operating agents on enterprise data with Genie and Genie Ontology, and governing models, agents and cost through Unity AI Gateway. Deeply integrated across the Microsoft ecosystem spanning Microsoft Entra, Azure Data Lake Storage, Azure security, Microsoft OneLake, Power BI, Microsoft Purview, Microsoft Foundry, Power Platform, Microsoft 365, Teams and Copilot, these capabilities bring governed, real-time data and AI into business workflows, giving organizations the context, control, choice and cost efficiency needed to drive impact.

Continued investment is evident from our recent announcements with Databricks at Data + AI Summit in June.

Customer impact with Azure Databricks

The deepened collaboration strengthens support for joint customers running data, analytics and AI workloads on Azure Databricks, delivering improved performance, security, AI governance and enterprise readiness. Thousands of customers, including Banco Bradesco, the Cincinnati Reds, Electrolux, SMBC and Unilever, already use Azure Databricks to run critical workloads and scale AI with confidence.

Read more on the proven business value of the Databricks and Microsoft partnership on the Microsoft Azure blog.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including AT&T, Bayer, BMW Group, HSBC, T-Mobile, Unilever, and 70% of the Fortune 500 — rely on Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

About Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) creates platforms and tools powered by AI to deliver innovative solutions that meet the evolving needs of our customers. The technology company is committed to making AI available broadly and doing so responsibly, with a mission to empower every person and every organization on the planet to achieve more.

 

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SOURCE Microsoft Corp.

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Harness and Kong Expand Strategic Partnership to Deliver Comprehensive API and AI Security

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58 minutes ago

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July 23, 2026

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Joint solution extends proven API gateway security to the AI era — with automated AI discovery and runtime AI protection

SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Harness, the AI Software Delivery Platform™ company, and Kong Inc., a leading developer of API and AI connectivity technologies, today announced an expansion of their strategic partnership to address the growing security challenges posed by AI-driven architectures, autonomous agents, and Model Context Protocol (MCP) deployments.

According to The State of AI-Native Application Security 2025 report, as enterprises race to deploy AI at scale, 62% have no visibility into where LLMs are in use across their environment, and 74% say AI sprawl will outpace API sprawl when it comes to risk — making embedded, infrastructure-level security more critical than ever. And companies are now deploying agents into their operations at an exponentially increasing rate, making it a necessity to protect the agents themselves and the systems interacting with those agents.

The two companies are extending their joint solution from Kong API Gateway to also include Kong AI Gateway, bringing Harness’s AI security intelligence directly into the AI infrastructure layer and enabling enterprises to discover, monitor, and protect every agent, AI asset, LLM-powered service, and MCP-connected workflow that traverses it.

A Proven Foundation: Harness and Kong API Gateway

Harness and Kong have been jointly trusted by enterprises to deliver best-in-class API security for years. The existing Harness and Kong API Gateway integration provides:

Comprehensive API traffic visibility and behavioral analysis across all Kong-managed servicesReal-time detection and blocking of API threats, including OWASP API Security Top 10 risks, credential stuffing attacks, and business logic abuseContinuous sensitive data tracking to identify PII exposure and regulatory riskZero-friction deployment alongside existing Kong configurations

This new offering of the AI Gateway solution applies the same level of security depth to AI infrastructure, ensuring that security teams are not left behind as their organizations adopt AI and agentic operations.

“Our partnership with Harness has given joint customers production-grade API security that works with the way they build, not against it,” said Ken Kim, Senior Vice President, Business Development at Kong Inc. “Extending to include Kong AI Gateway is a natural next step. The same enterprises are now moving AI into production through our gateway and need the same depth of visibility and control they’ve come to rely on for their APIs for all AI traffic types including LLM, MCP, and A2A. That’s exactly what this delivers and is crucial for organizations scaling in the agentic era.”

The New Frontier: Kong AI Gateway and Harness AI Security

As enterprises accelerate AI adoption, the attack surface has fundamentally shifted. AI agents, LLM-powered microservices, and MCP-enabled integrations introduce new vectors that traditional security tools were not designed to address. Unlike traditional software, AI agents are non-deterministic — the same agent can behave differently on consecutive runs, making it impossible to secure them the way you’d secure a static API. The new Harness and Kong AI Gateway integration directly tackles these challenges across two critical domains: AI discovery and AI protection.

AI Discovery
Harness automatically inventories every AI asset, API, MCP server, tool, prompt, and resource routed through Kong AI Gateway — providing security teams with a continuously updated catalog of their AI attack surface. No manual documentation. No blind spots.

AI Protection
Harness applies behavioral analysis and anomaly detection to AI traffic in real time, identifying prompt injection attacks, data exfiltration through AI responses, jailbreaking, malicious code in prompts, and other AI-specific threats. Enterprises gain the same depth of observability and protection for their agents and AI workloads that they already rely on for traditional APIs, with full prompt and response details available for incident investigation and inline policy enforcement through Kong AI Gateway.

“Shadow AI has become the defining security blind spot for enterprises today. Traditional tools were built for static code and predictable systems, not for adaptive AI models, agent-to-agent communication, and MCP-connected workflows that evolve continuously,” said Rahul Sood, GM of Application Security at Harness. “This integration of Harness AI Security with Kong puts security intelligence directly into the connectivity layer where AI traffic flows. Joint customers now have the visibility and control they need to move fast without losing sight of what’s happening across their AI infrastructure.”

Availability

The Harness and Kong API Gateway integration is generally available today for all joint customers. The Kong AI Gateway integration, including AI Discovery and AI Protection, is also generally available now. Joint customers can contact their account team or request a demo.

About Harness
Harness is the AI Software Delivery Platform™ company, enabling engineering teams to build, test, and deliver software faster and more securely. Powered by Harness AI and the Software Delivery Knowledge Graph, the platform brings intelligent automation to every stage of the software delivery lifecycle after code — removing toil and freeing developers from manual, repetitive work. Companies like United Airlines, Morningstar, and Choice Hotels use Harness to accelerate releases by up to 75%, cut cloud costs by 60%, and achieve 10x efficiency across DevOps. Based in San Francisco, Harness is backed by Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures.

About Kong

Kong Inc., a leading developer of API and AI connectivity technologies, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong’s unified API and AI platform enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI traffic — on any model, any cloud. For more information, visit www.konghq.com.

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SOURCE Harness

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