Schrodinger Strengths, Domain Expertise, and Key Differentiators
Schrödinger is a leading American software company specializing in chemical simulation software tailored for pharmaceutical, biotechnology, and materials science research. Renowned for its diverse product suite, Schrödinger offers advanced molecular modeling and drug design software, alongside cutting-edge solutions for materials research. Notably, Schrödinger has been at the forefront of leveraging cloud computing to accelerate lead compound discovery and development processes.
Schrodinger Recent Developments
Honeywell introduces its cloud-based Digital Prime solution, a digital twin for efficient and secure testing of process control changes and system modifications, providing an effective and collaborative solution for various industries. Additionally, Honeywell has introduced an updated suite of airside solutions, including enhancements to gate and turnaround operations and airfield lighting portfolios, such as the NAVITAS Smart Visual Docking system.
Honeywell has unveiled its operational technology (OT) cybersecurity solution, Honeywell Forge Cybersecurity+ | Cyber Insights, aimed at enhancing the availability, reliability, and safety of industrial control systems and operations. The software, addressing challenges such as cybersecurity skills shortage and data complexity, integrates information from various OT data sources to offer actionable insights into cybersecurity vulnerabilities, enabling organizations to manage compliance strategies and mitigate overall cybersecurity risks effectively.
In October 2020, The industrial conglomerate Honeywell and the oil-services giant Halliburton are teaming up in a surprising way. The pair is bringing cloud-based software applications to Halliburton’s energy-producing clients. The partnership applies the Honeywell (ticker: HON) Forge product—the company’s software analytics platform—to Halliburton’s existing set of products that help oil-and-gas producers manage their processes.
Aims to exploit Internet of Things opportunities with its expertise in building climate control and asset management apps.
Schrodinger Mergers and Acquisitions (M&A) Activities
In January 2022, Schrödinger announced its acquisition of XTAL BioStructures, Inc., enhancing its capabilities in structural biology and bolstering its capacity to generate high-quality target structures for drug discovery initiatives. This strategic move also broadens Schrödinger's portfolio by introducing an advanced service offering customers access to validated protein structures for structure-based virtual screening and lead optimization.
Schrodinger Customers in ARTW Customer Database
Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying Schrodinger applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of Schrodinger and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified Schrödinger software release 2017-1, customers.
Schrodinger Overview
120 West 45th Street 17th Floor, Tower 45
New York, NY, 10036-4041, United States
1 212-295-5800
https://www.schrodinger.com/
Ownership: - Nasdaq: SDGR
Number of Employees: 867
Functional Markets: ERP Services and Operations, PLM, PPM,
Key Verticals: Aerospace and Defense, Automotive, Construction, Consumer Packaged Goods, Life Sciences, Manufacturing, Oil and Gas, Chemicals,
Schrodinger Key Enterprise and Cloud Applications
Schrödinger software release 2017-1,
Schrodinger Revenues, $M:
Type/Year | 2022 | 2023 | YoY Growth, % |
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Total Revenues, $M | Subscribe | Subscribe | Subscribe |
Enterprise Applications Revenues, $M | Subscribe | Subscribe | Subscribe |
Cloud Applications Revenues, $M | Subscribe | Subscribe | Subscribe |
* Enterprise Applications Revenues = License + Support & Maintenance + SaaS
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.
Schrodinger Revenue Breakdown By Type, $M:
Schrodinger Enterprise Applications Revenues By Functional Markets, $M:
Schrodinger Enterprise Applications Revenues By Verticals, $M:
Schrodinger Revenues By Region, $M
Region | % of Total Revenues | 2023 Total Revenues, $M | 2023 Enterprise Applications Revenues, $M | 2023 Cloud Applications Revenues, $M |
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Americas | Subscribe | Subscribe | Subscribe | Subscribe |
EMEA | Subscribe | Subscribe | Subscribe | Subscribe |
APAC | Subscribe | Subscribe | Subscribe | Subscribe |
Total | Subscribe | Subscribe | Subscribe | Subscribe |
Schrodinger Direct vs Indirect sales
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Type % | Subscribe | Subscribe | Subscribe |
Revenues, $M | Subscribe | Subscribe | Subscribe |
Schrodinger Customers - Breakdown by Geo, Size, Vertical and Product
List of Verified Schrodinger Customers
No. of Schrodinger Customers: 1748
No. of Schrodinger Enterprise Applications Customers: 1748
No. of Schrodinger Cloud Customers: x
No. of Schrodinger Cloud Subscribers: x
Schrödinger has 1748 commercial customers (including all top 20 pharma companies) and more than 1690 academic and government customers. In recent years, Materials Science Suite was selected by Boeing Company, Seoul National University and others.
Schrodinger Market Opportunities, M&A and Geo Expansions
In May 2020, Schrödinger, renowned for its physics-based software platform facilitating the discovery of novel molecules, announced the appointment of Jeffrey A. Chodakewitz, M.D., and Gary Ginsberg to its Board of Directors. Dr. Chodakewitz brings extensive biopharmaceutical experience from leadership roles at Vertex Pharmaceuticals and Merck & Co., while Mr. Ginsberg contributes global communications expertise honed at Time Warner and Softbank Group Corp. Their addition reflects Schrödinger's strategic focus on expanding its software business and advancing drug discovery collaborations worldwide.
In March 2020, Schrödinger expanded collaboration with AstraZeneca focused on refining a biologics modeling solution with the aim of speeding up the development of antibody and protein-based therapeutic candidates. The multi-year agreement extends an existing collaboration in which AstraZeneca is deploying Schrödinger’s computational platform to advance small molecule drug discovery efforts. The new collaboration is aimed at enhancing Schrödinger’s Free Energy Perturbation (FEP+) technology for the optimization of key properties of biologics, such as affinity and selectivity, with particular focus on binding affinity.
In May 2018, Schrödinger dedicated to revolutionizing drug discovery through advanced computational methods, trough collaboration with Canada’s national Centre for Drug Research and Development (CDRD),. This collaboration resulted with development of novel immuno-oncology monoclonal antibodies and other cancer biologics. CDRC provided a portfolio of targeted antibodies and Schrödinger have applied its advanced computation platform to prioritize these drug candidates and otherwise accelerate discovery. The initial project has involved an immune checkpoint target that is present on cancer stem cells.
Schrodinger Risks and Challenges
Consolidation among big pharmas could impact long-term growth of Schrodinger.
Schrodinger Ecosystem, Partners, Resellers and SI
In January 2020, Schrödinger and Bayer partnered to develop a comprehensive de novo design solution with the objective to accelerate the discovery of innovative high-quality drugs. The technology is expected to be capable of enumerating, screening, and scoring billions of synthetically feasible, virtual compounds supporting the identification and optimization of potential new therapeutic candidates. Under the terms of the agreement, Schrödinger is expected to receive about €10 million. The de novo design software will integrate the power of Schrödinger’s molecular design technology, which relies on physics-based modeling augmented by machine learning, with Bayer’s proprietary in silico models predicting compound absorption, distribution, metabolism, excretion, toxicity (ADMET) and chemical synthesizability. The new software will be built on Schrödinger’s enterprise informatics solution, LiveDesign, and is intended to rapidly design large numbers of molecules and predict their properties.
In March 2020, Schrödinger entered into a three-year agreement with Google Cloud to substantially increase the speed and capacity of its physics-based computational platform for drug discovery. As part of the agreement, Schrödinger has selected Google Cloud as the preferred cloud platform for its leading simulation software.
Schrödinger engages in a wide range of drug discovery services and collaborations. To date Schrödinger has engaged in over 100 service agreements and collaborations, many of which have achieved success-based milestones, including successful progression to clinical trials.
In June 2018, Schrӧdinger made a partnership with i2Learning to expose middle schoolers to advanced simulation software. This partnership is part of Schrӧdinger’s STEM outreach program, which seeks to promote the company’s goal to make science accessible, relatable, and creative. By working with i2Learning, Schrӧdinger enabled students and educators to gain real-world experience with state-of-the-art computational tools. Schrodinger and i2Learning ware working collaboratively to increase excitement about and exposure to science at a young age.
Among Schrödinger, partners are Altoris, Amazon Web Services (AWS), ChemAxon, Cycle Computing, D.E. Shaw Research, eMolecules, Exxact, John McNeil & Co and others.
Schrodinger Cloud Infrastructure Insights
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Research Methodology
Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.
Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).
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