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Artificial Intelligence in Drug Discovery Market to Hit USD 6.89 Billion by 2029 with 29.9% CAGR | MarketsandMarkets™
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DELRAY BEACH, Fla., Nov. 12, 2024 /PRNewswire/ — The global artificial intelligence (AI) in drug discovery market is projected to reach USD 6.89 billion by 2029 from USD 1.86 billion in 2024, at a CAGR of 29.9% from 2024 to 2029. The rising shift towards integrating AI for understanding diseases and small molecule design and optimization use cases augments the growth of the market. AI tools play a major role in accelerating target identification, optimizing lead compound selection, and predicting drug efficacy and toxicity. Supervised methods such as regression, decision trees, and neural networks help predict material properties and drug candidate profiles. In contrast, unsupervised techniques such as clustering algorithms (k-means and hierarchical clustering) and dimensionality reduction identify hidden trends, patterns, and groupings in data, aiding in novel drug discovery. Deep Learning is employed to predict molecular properties, design new compounds, and other applications. Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are more commonly used for handling complex data, such as sequences or molecular structures. Generative Adversarial Networks (GANs) are utilized to generate de novo or novel drug candidates, molecular structure simulation, and lead optimization. These tools help streamline processes, as well as reduce the time and cost involved in screening, optimizing, and discovering new drug candidates.
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Based on therapeutic area, the artificial intelligence (AI) in drug discovery market is segmented into oncology, infectious diseases, neurology, metabolic diseases, cardiovascular diseases, immunology, mental health, and others (respiratory diseases, nephrology, dermatological diseases, genetic disorders, inflammatory diseases, and gastrointestinal). The neurology segment held the fastest market share in the Al drug discovery market due to the increasing number of neurological disorders and the difficulties associated with drug discovery in this field, The use of Al technologies accelerates drug development because neurological diseases such as Parkinson’s, Alzheimer’s, and multiple sclerosis are difficult to diagnose and treat.
According to the WHO, in 2021, neurological conditions affected over 3 billion people worldwide. This emphasizes the need for innovative healthcare solutions. Al-powered drug discovery platforms work well in neurology, allowing faster and more accurate analysis of complex neurological data to identify potential drug candidates. The increasing availability of large datasets from clinical trials, genomics, neuroimaging, and electronic health records (EHR) records, as well as the growth investments in neurology, also contribute to market growth. In 2023, venture investments in neurology companies were USD 1.14 billion in the US. Resources like the Alzheimer’s Disease Neuroimaging Initiative (ADNI) provide vast data for machine learning applications.
Based on the process, artificial intelligence (AI) in drug discovery market is broadly classified into target identification & selection, target validation, hit identification & prioritization, hit-to-lead identification/lead generation, lead optimization, and candidate selection & validation. Hit-to-lead identification/lead generation accounts for the largest process segment in this market; it is also expected to register the highest growth owing to its critical role in streamlining the early stages of the drug development process. AI can significantly reduce the number of compounds and experiments required to find and optimize leads. This procedure uses Al algorithms to analyse large datasets, such as chemical libraries and biological interactions, to identify potential drug candidates or hits and develop them into viable leads. AI helps address long design-make-test cycles across discovery journeys. Faster screening and better exploration of vast chemical libraries are fuelling market growth for AI solutions for hit-to-lead identification/lead generation. For example, activity prediction enables more targeted experiments, and predictive analytics can help forecast compound properties. However, the lack of existing clinical data for a new molecule can hinder market growth.
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There are several opportunities in AI in drug discovery market such as growing biotech industry, emerging markets, AI in single cell experiments, Growing demand for precision medicine and personalized medicine. Key players in the artificial intelligence (AI) in drug discovery are NVIDIA Corporation (US), Exscientia (UK), Google (US), BenevolentAI (UK), Recursion (US), Insilico Medicine (US), Schrödinger, Inc. (US), Microsoft (US), Atomwise Inc. (US), Illumina, Inc. (US), Valo Health (US) among others. These players not only have a comprehensive and diverse product portfolio but also a strong geographic presence.
The key players in this market can tap these opportunities to enhance and improve their product offerings and develop innovative AI solutions for various processes, use cases, and end users. Moreover, these companies can integrate AI in drug design and optimization, understanding diseases, drug repurposing, single-cell analysis, and identification of biomarkers, disease types, and subtypes. Additionally, key players invest in AI algorithms that can examine complicated data and interpret disease mechanisms and pathways. Collaborations and partnerships between key players continue to grow rapidly, which in turn has accelerated the development of targeted therapies and contributed to rapidly expanding drug pipelines.
These market players have offered a diverse range of products and services and have operations worldwide with a major focus on North America. They rely on technological advancements to avail themselves of innovative end-to-end solutions, software, and services and increase their global footprint. These players focus on product launches and enhancements, investments, partnerships, collaborations, agreements, joint ventures, funding, acquisitions, expansions, conferences, FDA clearances, sales contracts, alliances, and other recent developments to expand their global reach and develop AI in drug discovery solutions.
NVIDIA Corporation:
NVIDIA Corporation, a prominent technology company, has made remarkable advances in artificial intelligence (AI), particularly drug discovery. NVIDIA GPUs power AI workloads in drug discovery applications such as molecular modeling, simulation, and machine learning. Nvidia’s AI software includes development tools, libraries, and frameworks that can be used to build and deploy AI applications for drug discovery. The company provides generative AI platforms like BioNeMo and Clara Discovery. NVIDIA BioNeMo simplifies the deployment of AI models, hastening the transition to AI-driven drug discovery. It offers models for 3D protein structure prediction, molecule generation, property predictions, and molecular docking. Users can customize AI models with their data, access pre-trained models, and integrate them into drug discovery workflows. NVIDIA Clara Discovery is a software suite that includes a variety of tools for AI-driven drug discovery.
NVIDIA Corporation operates more than 50 offices across the Americas, Asia, and Europe, along with manufacturing facilities in the US and Taiwan. The company collaborates with several pharmaceutical companies and biotech startups to develop solutions for AI-driven drug discovery. For example, in November 2023, NVIDIA collaborated with Genentech to improve computational models and incorporate generative AI into drug discovery processes, allowing for faster exploration of molecular designs.
Insilico Medicine:
Insilico Medicine is an end-to-end generative AI-driven biotech company accelerating drug discovery and development to treat cancer and age-related diseases. Its proprietary Pharma.AI platform spans biology, chemistry, and clinical development. The company pioneered the application of reinforcement learning and generative adversarial networks (GANs) to develop new molecular structures for diseases with known and unknown targets. Its products and services are used by pharmaceutical companies, biotechnology companies, and academic research institutions. Insilico Medicine has produced a diversified internal pipeline of 31 programs for 29 drug targets. The company’s lead drug is ISM001-055, a small-molecule chemical drug candidate primarily designed to treat fibrosis-related indications, including idiopathic pulmonary fibrosis. The company has offices in the US, Hong Kong, Canada, and the UAE. The company has more than 150 academic and industrial collaborations worldwide. For instance, in September 2024, Insilico Medicine collaborated with Inimmune to leverage its proprietary AI platform, Chemistry42, in accelerating the discovery and development of next generation immunotherapeutic.
Exscientia:
Exscientia is an AI-driven small-molecule drug discovery and design company. The company designed and developed an end-to-end solution of AI and experimental technologies for target identification, drug candidate design, translational models, and patient selection. The company’s patient-first AI process comprises four elements, namely, Precision Target (experimental and literature-based AI systems to prioritize projects), Precision Design (an extensive platform of AI technologies to design innovative drugs), Precision Experiment (tech-enabled precision experimentation to derive better data), and Precision Medicine (integrated analysis of patient data to ensure clinical relevance). The platform has helped design candidate drug molecules that have progressed into clinical trials and improve disease understanding through AI-guided assessment and generative AI. Exscientia collaborates with pharmaceutical companies such as GSK, Sanofi, and Roche. The company has offices in the UK, the US, and Japan. For instance, in July 2024, Exscientia announced the expansion of its collaboration with Amazon Web Services, Inc. to utilize AWS’s AI and machine learning services, further enhancing its end-to-end drug discovery and automation platform.
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Melanie Siewert, Chief Marketing Officer at LHH, Joins the Exceptional Women Alliance (EWA)
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May 8, 2026By
LOS ANGELES, May 8, 2026 /PRNewswire/ — The Exceptional Women Alliance (EWA) proudly welcomes Melanie Siewert, Chief Marketing Officer at LHH, into its distinguished community of influential women leaders. A seasoned global marketing executive, Siewert brings more than 20 years of experience transforming brands, building high-performing teams, and driving measurable growth across both B2B and B2C industries.
As Chief Marketing Officer of LHH, Siewert leads global marketing strategy across brand, demand generation, and customer experience. She plays a critical role in aligning marketing with business objectives and fostering strong collaboration with sales to enhance organizational performance and accelerate growth. Her leadership has been instrumental in shaping a modern, customer-centric brand and building a marketing function designed to deliver consistent, high-impact results across a complex global enterprise.
Throughout her career, Siewert has held senior leadership roles at prominent organizations including Truist Financial, Worldpay, Equifax, Whirlpool Corporation, and JPMorgan Chase. She is widely recognized for guiding enterprise brand strategy, leading complex mergers, scaling marketing operations, and delivering measurable gains in pipeline, revenue, and digital adoption.
Siewert’s expertise spans marketing strategy, customer engagement, brand development, sales enablement, and cross-functional leadership. Known for her empowering leadership style and strategic vision, she consistently builds high-performing teams that drive sustainable business growth while fostering collaboration and innovation.
Her accomplishments include:
Leading global marketing strategy for LHH, integrating brand, demand generation, and customer experience to drive business performance.Guiding enterprise brand transformations and go-to-market strategies across multiple global organizations.Driving measurable growth in pipeline, revenue, and digital engagement through data-driven marketing initiatives.Leading marketing efforts through complex mergers and organizational transformations.Serving as a two-time board chair and lifetime member of Strategic & Competitive Intelligence Professionals.Recognized as a Top Woman in Marketing by PRWeek.
“Melanie’s ability to translate complex market dynamics into clear, impactful strategies, combined with her commitment to building strong, collaborative teams, makes her an exceptional addition to EWA,” said Larraine Segil. “Her leadership and results-driven approach align seamlessly with the values of our sisterhood.”
Melanie shared “I’m honored to be part of the Exceptional Women’s Alliance and look forward to learning from the incredible women leaders who are dedicated to lifting other women and impacting the world at large.”
Siewert now joins a powerful and growing community of C-suite and board-level women leaders across disciplines who share a common goal: to support one another through confidential, life-long mentoring relationships and to enrich both their professional and personal lives.
About Exceptional Women Alliance (EWA)
The Exceptional Women Alliance (EWA) is an invitation-only peer mentorship organization where high-level Exceptional Women from across multiple industries are hand-selected and invested in, to grow, learn, share, and succeed. In addition to the achievement of significant success, the criteria for acceptance include character traits that are defining of the EWA Culture – Kindness, the Spirit of Generosity, Transparency, Gratitude, and Willingness to Share their knowledge. The Foundation is a powerhouse of peer-to-peer mentoring that provides guidance, deep connection, and leadership, propelling each woman to sustainable success—one woman at a time. The life-long program enables each participant to be connected as alumnae in the ever-expanding EWA global community, as their fellow women leaders continue to move into positions of significance.
Learn more at www.exceptionalwomenalliance.com
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Technology
Insurance Modernization at Risk as Workforce Strategies Fall Behind, Says Info-Tech Research Group
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2 hours agoon
May 8, 2026By
Insurers are under pressure to modernize core systems while competing for scarce cloud, data, AI, and cybersecurity talent. Info-Tech Research Group’s new blueprint, Rebuild Your Talent Engine: Attract and Retain IT Talent in Insurance, outlines a practical framework to help insurance IT and HR leaders assess readiness, strengthen their employee value proposition, and retain the critical roles needed to accelerate transformation.
ARLINGTON, Va., May 8, 2026 /PRNewswire/ – Insurance modernization is increasingly being constrained by the people and capabilities required to deliver it, according to Info-Tech Research Group. The global research and advisory firm’s newly published blueprint, Rebuild Your Talent Engine: Attract and Retain IT Talent in Insurance, provides a structured approach to help insurers attract, retain, and mobilize the IT talent required to support digital transformation.
The firm’s research indicates that many insurers are trying to advance core system modernization while facing shortages in cloud, data, AI, and cybersecurity roles. At the same time, experienced legacy system experts are retiring, creating knowledge gaps that can slow delivery, increase operational risk, and deepen dependence on external partners.
“Insurance modernization cannot succeed if the workforce strategy behind it remains outdated,” says Vidhi Trivedi, senior research analyst at Info-Tech Research Group. “Insurers need an employee value proposition that reflects what both digital and legacy talent value today: flexibility, growth, purpose, and belonging. When organizations connect those expectations to the technology roadmap, they are better positioned to retain institutional knowledge, attract new capabilities, and move transformation forward with confidence.”
Key Workforce Risks Slowing Insurance Modernization
Info-Tech’s blueprint identifies several talent challenges that are limiting insurers’ ability to modernize effectively:
Critical digital skills remain difficult to attract and retain. Cloud engineers, data architects, cybersecurity specialists, and AI-capable technologists are essential to future-state systems, integration, and automation.Legacy expertise is leaving faster than it can be replaced. Core system knowledge remains vital to operations, compliance, and transition planning, yet many long-tenured experts are approaching retirement or feel disconnected from future-state roles.Rigid work models reduce access to high-demand talent. Digital professionals increasingly expect hybrid options, autonomy, modern delivery practices, and environments that support productivity and wellbeing.Growth pathways are not clearly connected to transformation needs. Without structured upskilling, internal mobility, and role progression, insurers risk losing employees to industries perceived as more innovative or career-accelerating.Employer branding often undersells insurance’s purpose and impact. The industry plays a critical role in protecting people, businesses, and communities, but that purpose is not always translated into a compelling technology career story.
Info-Tech’s Three-Phase Framework for Rebuilding the Insurance IT Talent Engine
To help insurers address these challenges, the Rebuild Your Talent Engine: Attract and Retain IT Talent in Insurance blueprint outlines a three-phase methodology:
Assess Talent Readiness for Modernization Success
Insurance IT and HR leaders identify modernization-critical roles, evaluate workforce pressure, assess EVP fit across key roles, and prioritize the roles that pose the greatest risk to transformation timelines.Build and Embed a Modern Employee Value Proposition
Organizations define a clear employer-employee value exchange, establish proof points across the four EVP pillars of flexibility, growth, purpose, and belonging, and activate targeted initiatives for priority roles.Develop and Present the EVP Impact Report
Leaders synthesize workforce insights, visualize progress, and present a measurable view of how EVP activation is improving retention, engagement, internal mobility, and readiness.
The resource also includes supporting tools, such as the EVP Diagnostic Tool, EVP Activation & Implementation Tool, and EVP Impact Report Template, that help insurers move from talent planning to measurable action.
“Too often, insurers view IT talent challenges as a capacity issue, when they are really a transformation risk,” explains Trivedi. ” “The insurers that move fastest will be those that know where critical capabilities are under strain, protect the expertise that increases operational resilience, and create clear pathways for employees to help shape the future of insurance from within.”
By applying Info-Tech’s framework outlined in the Rebuild Your Talent Engine: Attract and Retain IT Talent in Insurance blueprint, insurance leaders can better understand where people-related risks are highest, strengthen retention in critical roles, reduce long-term reliance on external partners, and build a more resilient technology organization. The firm’s research emphasizes that a modern EVP is not only an HR initiative but a strategic enabler of modernization success.
For exclusive and timely commentary from Info-Tech’s experts, including Vidhi Trivedi, and access to the complete Rebuild Your Talent Engine: Attract and Retain IT Talent in Insurance blueprint, please contact pr@infotech.com.
About Info-Tech Research Group
Info-Tech Research Group is the “get things done” partner for over 30,000 IT, HR, and marketing leaders worldwide. The fastest growing research and advisory firm, Info-Tech enables leaders to make well-informed decisions and transform their organizations through AI, strategic foresight, step-by-step methodologies, practical tools, industry-leading advisory, and training programs. For nearly 30 years, tens of thousands of private and public organizations have trusted Info-Tech to lead their most important initiatives through periods of change and deliver outcomes that truly matter.
To learn more about Info-Tech’s HR research and advisory services, visit McLean & Company, and for data-driven software buying insights and vendor evaluations, visit the firm’s SoftwareReviews platform.
Media professionals can register for unrestricted access to research across IT, HR, and software, and hundreds of industry analysts through the firm’s Media Insiders program. To gain access, contact pr@infotech.com.
For information about Info-Tech Research Group or to access the latest research, visit infotech.com and connect via LinkedIn and X.
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Technology
Caris Life Sciences Submits Application to New York State Department of Health for Caris Assure Blood‑Based Testing Authorization
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3 hours agoon
May 8, 2026By
IRVING, Texas, May 8, 2026 /PRNewswire/ — Caris Life Sciences® (NASDAQ: CAI), a leading patient-centric next-generation AI TechBio company and precision medicine pioneer, today announced that it has submitted an application to the New York State Department of Health (NYSDOH) Clinical Laboratory Evaluation Program (CLEP), administered through the Wadsworth Center, seeking authorization to perform Caris Assure®, its blood‑based molecular profiling test, on specimens originating from New York State.
Caris Assure is a blood‑based molecular profiling test designed to support comprehensive biomarker analysis using a minimally invasive blood sample. Caris Assure uses circulating nucleic acids sequencing (cNAS) to analyze the whole exome (DNA) and whole transcriptome (RNA) of 22,000 genes. This comprehensive test identifies tumor alterations, clonal hematopoiesis (CH) and inherited variants, pharmacogenomic alterations, microsatellite instability (MSI) and tumor mutational burden (TMB).
The submission initiates the formal review process required by New York State for clinical laboratories seeking to perform testing on specimens collected from New York patients. Through the Wadsworth Center, CLEP conducts comprehensive reviews of laboratory permits and laboratory-developed tests to evaluate analytical validation, quality systems, personnel qualifications and compliance with applicable state regulations.
“Caris is committed to meeting the highest standards for laboratory quality, validation and regulatory compliance,” said David Spetzler, MS, PhD, MBA, President of Caris Life Sciences. “This submission of Caris Assure for review through the New York State Department of Health’s Wadsworth Center reflects our disciplined approach to expanding access to our technologies in a manner that demonstrates the rigor, responsibility and focus on the patient that define Caris Life Sciences and guide our work in the markets we serve.”
At this time, no determination has been made by NYSDOH, and Caris Assure is not authorized for use on blood-based specimens originating from New York State unless and until CLEP authorization is granted.
Caris operates a CAP-accredited, CLIA‑certified clinical laboratory and performs testing in jurisdictions where it is authorized to do so, in accordance with all applicable federal, state, and local regulations. Any future availability of Caris Assure in New York State will be contingent upon completion of the CLEP review process administered by the Wadsworth Center and receipt of the appropriate authorization.
About Caris Life Sciences
Caris Life Sciences® (Caris) is a leading, patient-centric, next-generation AI TechBio company and precision medicine pioneer actively developing and commercializing innovative solutions to transform healthcare. Through comprehensive molecular profiling (Whole Genome, Whole Exome and Whole Transcriptome Sequencing), advanced AI and machine learning, Caris has created the large-scale, multimodal clinico-genomic database and computing capability needed to analyze and further unravel the molecular complexity of disease. This convergence of next-generation sequencing, AI and machine learning technologies and high-performance computing provides a differentiated platform for developing the latest generation of advanced precision medicine diagnostic solutions for early detection, diagnosis, monitoring, therapy selection and drug development.
Caris was founded with a vision to realize the potential of precision medicine to improve the human condition. Headquartered in Irving, Texas, Caris has offices in Phoenix, New York, Cambridge (MA), Tokyo, Japan and Basel, Switzerland. Caris or its distributor partners provide services in the U.S. and other international markets.
Forward Looking Statements
This press release contains forward-looking statements, within the meaning of the Private Securities Litigation Reform Act of 1995 and other federal securities laws. All statements other than statements of historical facts contained in this press release are forward-looking statements, including statements regarding our business, solutions, plans, objectives, goals, industry trends, financial outlook and guidance. In some cases forward-looking statements can be identified by words such as “may,” “will,” “should,” “would,” “expect,” “plan,” “anticipate,” “could,” “intend,” “target,” “project,” “potential,” “contemplate,” “believe,” “estimate,” “predict,” or “continue” or similar expressions.
You should not rely upon forward-looking statements as predictions of future events. Although we believe that the expectations reflected in these forward-looking statements are reasonable based on information currently available to us, we cannot guarantee that the future results, discoveries, levels of activity, performance or events and circumstances reflected in forward-looking statements will be achieved or occur. Forward-looking statements involve known and unknown risks and uncertainties, some of which are beyond our control. Risks and uncertainties that could cause our actual results to differ materially from those indicated or implied by the forward-looking statements in this press release include, among other things: our future financial performance, results of operations or other operational results or metrics; development, analytical and clinical validation, timing and performance of future solutions by us and our competitors; commercial market acceptance for our solutions, including acceptance of preventive as well as diagnostic testing paradigms, and our ability to meet resulting demand; the rapidly evolving competitive environment in which we operate; third-party payer reimbursement and coverage decisions related to our solutions; risks related to data management, storage, and processing capabilities and our ability to integrate and deploy artificial intelligence and advanced data analytics technologies; our ability to protect and enhance our intellectual property; regulatory requirements, decisions or approvals (including the timing and conditions thereof) related to our solutions, including our application for New York State Department of Health approval for Caris Assure; reliance on third-party suppliers; risks related to data security, patient privacy, and compliance with healthcare data protection regulations as well as potential cybersecurity threats to our data platforms; our compliance with laws and regulations; the outcome of government investigations and litigation; risks related to our indebtedness; and our ability to hire and retain key personnel as well as risks, uncertainties; and other factors described in the section titled “Risk Factors” and elsewhere in our Annual Report on Form 10-K filed on March 3, 2026, and in our other filings we make with the SEC from time to time. We undertake no obligation to update any forward-looking statements to reflect changes in events, circumstances or our beliefs after the date of this press release, except as required by law.
Caris Life Sciences Media:
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