{ "schemaVersion": "1.3.0", "language": "en", "slug": "mathworks", "brandKey": "mathworks", "canonicalName": "MathWorks", "canonicalUrl": "https://worldbrand.ai/brand-wiki/mathworks", "jsonUrl": "https://worldbrand.ai/brand-wiki/mathworks/json", "markdownUrl": "https://worldbrand.ai/brand-wiki/mathworks/md", "name": "MathWorks", "oneLiner": "Private American developer of MATLAB, Simulink, and software for mathematical computing, data analysis, engineering design, and model-based development.", "summary": "MathWorks is an American privately held software company headquartered in Natick, Massachusetts. Founded in 1984 by Cleve Moler, Jack Little, and Steve Bangert, the company develops technical-computing, data-analysis, programming, modeling, simulation, and embedded-deployment tools for engineers, scientists, researchers, educators, and other technical professionals. Its best-known products are MATLAB and Simulink.\n\nMATLAB began as an interactive environment centered on matrix computation and numerical analysis. Under MathWorks, it developed into a broad technical-computing platform that combines a programming language, desktop and web-based development environments, visualization, numerical methods, data analysis, and a large ecosystem of specialized toolboxes. These extensions support areas such as artificial intelligence and machine learning, signal and image processing, statistics, optimization, control systems, communications, finance, robotics, wireless systems, and computational biology. MATLAB is used both for exploratory work and for creating production-oriented analytical applications and algorithms.\n\nSimulink complements MATLAB with a graphical environment for modeling, simulating, and analyzing dynamic and multidomain systems. It is particularly associated with model-based design in automotive, aerospace, industrial automation, energy, communications, and other engineering sectors. MathWorks products can support workflows that move from requirements and system modeling through algorithm development, simulation, verification, code generation, and deployment to embedded or other target hardware. Additional offerings address code quality and verification, hardware-in-the-loop testing, simulation data management, and specialized engineering design.\n\nThe company serves customers through direct commercial, academic, and government channels, regional offices, technical support, documentation, training, consulting, partner programs, and online learning resources. Its products are widely used in universities and research organizations as well as in commercial engineering and product-development teams. MathWorks has maintained a private ownership structure rather than becoming publicly traded. Company fact-sheet material reported revenue of $1 billion in 2018, with 60 percent generated outside the United States, and stated that the company had been profitable every year since its founding; these figures are historical rather than current performance indicators.\n\nMathWorks has expanded its capabilities through product development and selected acquisitions. The 2007 purchase of PolySpace Technologies added static-analysis and runtime-error detection tools for embedded software. The resulting Polyspace product family broadened MathWorks' role from numerical computing and system simulation into software verification. In 2019, MathWorks and SiSoft introduced products combining expertise in serial-link and mixed-signal modeling, including SerDes Toolbox and Mixed-Signal Blockset. MathWorks also acquired VectorZero in 2020, adding technology relevant to automotive simulation and scenario-generation workflows.\n\nIts market position is built around an integrated technical workflow rather than a single-purpose application. MATLAB provides the computational and programming foundation, while Simulink and associated products connect mathematical models to system simulation, verification, and implementation. The brand's marketing emphasizes productivity, technical credibility, education, discovery, and the acceleration of engineering and scientific development. MathWorks remains active internationally through regional operations, industry programs, education initiatives, customer events, digital communications, and campaigns aimed at increasing adoption and long-term use of its software.\n\nThe MathWorks is a privately held American software company best known for MATLAB and Simulink. It was founded in 1984 by mathematician and computer scientist Cleve Moler, who had created the original MATLAB environment, together with Jack Little and Steve Bangert. The company was established to turn MATLAB from an academic numerical-computing tool into a broadly usable commercial platform for engineers, scientists, educators, and researchers.\n\nMATLAB is the company's principal technical-computing environment. It combines a programming language with interactive tools for matrix and array manipulation, numerical analysis, visualization, statistics, optimization, signal processing, image processing, control design, and machine learning. Its use of matrices as a central data structure and its extensive function libraries have made it particularly influential in engineering and scientific education. MATLAB is also used to develop algorithms, analyze experimental or operational data, create visualizations, and build applications for deployment beyond the desktop environment.\n\nSimulink is MathWorks' graphical modeling and simulation environment. It supports block-diagram modeling of dynamic systems and is used in areas including control systems, signal processing, robotics, automotive engineering, aerospace, industrial automation, and energy systems. Simulink and associated products support model-based design workflows in which teams specify, simulate, test, verify, and implement systems before or alongside deployment to physical hardware. The company also supplies code-generation, verification, testing, and deployment tools connected to these workflows.\n\nThe MathWorks product portfolio extends through specialized toolboxes and products for disciplines such as deep learning, computer vision, wireless communications, computational finance, parallel computing, statistics, optimization, mapping, robotics, and embedded systems. Its products are delivered through commercial, academic, government, and student licensing arrangements, with desktop, network, online, and cloud-access options available depending on the product and license. The company also provides documentation, technical support, training, consulting, and certification-related educational resources.\n\nMathWorks serves a global customer base across universities, research institutions, government organizations, and industrial sectors. Engineering-intensive industries use its software for algorithm development, digital modeling, prototyping, simulation, testing, and production-code generation. Academic users employ MATLAB and Simulink for teaching numerical methods, programming, control, signal processing, statistics, and other technical subjects. The company maintains offices and operations in multiple regions, while its principal corporate headquarters remains in Natick, Massachusetts.\n\nThe company has remained privately held and does not publish the level of detailed financial reporting expected from a listed corporation. Its strategic identity has centered on long-term development of an integrated technical-computing ecosystem rather than on a broad consumer-software portfolio. MATLAB and Simulink continue to function as the core brands, with specialized add-ons and workflow products extending them into emerging fields such as artificial intelligence, autonomous systems, digital twins, robotics, and electrification. The MathWorks brand is therefore associated primarily with professional and academic technical computing, model-based engineering, and software-supported research.", "aliases": [ "THE MATHWORKS", "THE MATHWORKS S.R.L.", "The MathWorks, Inc." ], "entityType": "corporate_brand", "l1Slug": "information-technology", "l1": "Information Technology", "l2Slug": "software-services", "l2": "Software & Services", "l3Slug": "software", "l3": "Software", "l4Slug": "enterprise-saas", "l4": "Enterprise SaaS", "country": "United States", "headquarters": "Natick, Massachusetts, United States", "operatingMarkets": [ "Global", "Worldwide" ], "foundedYear": 1984, "founder": "Cleve Moler · Jack Little · and Steve Bangert", "website": "https://www.mathworks.com", "websiteHost": "mathworks.com", "parentCompany": null, "owner": null, "groupOrHouse": null, "listedStatus": "private", "ticker": null, "status": "active", "enrichmentStatus": "rich_ok", "typicalProducts": [ "MATLAB", "Simulink", "Polyspace", "Stateflow", "Simscape", "MATLAB toolboxes", "Simulink products and add-ons", "MATLAB Production Server", "MATLAB Parallel Server" ], "flagshipOfferings": [ "MATLAB", "Simulink" ], "positioning": "Integrated technical-computing and model-based-design software for engineers, scientists, researchers, educators, and industrial development teams.", "wikiPathKey": "The_MathWorks", "wikiTitle": "The MathWorks", "wikidataId": null, "sameAs": [ "https://www.mathworks.com", "https://en.wikipedia.org/wiki/The_MathWorks" ], "claimStatus": "unverified", "updatedAt": "2026-10-14T14:38:40.678Z", "generatedAt": "2026-10-14T14:38:40.759Z", "executives": [ { "name": "Jack Little", "title": "President and co-founder", "isCurrent": true, "startYear": 1984, "endYear": null }, { "name": "Jack Little", "title": "Co-founder and Chief Executive Officer", "isCurrent": true, "startYear": null, "endYear": null }, { "name": "Cleve Moler", "title": "Co-founder", "isCurrent": false, "startYear": 1984, "endYear": null }, { "name": "Steve Bangert", "title": "Co-founder", "isCurrent": false, "startYear": 1984, "endYear": null } ], "news": [ { "headline": "MathWorks purchased Cochituate Place in Natick", "year": 2022, "summary": "MathWorks purchased the Cochituate Place office property at 24 Superior Drive in Natick as part of its local facilities footprint.", "tags": [ "other" ], "isScandal": false, "sourceUrl": "https://rwholmes.com/2022/08/r-w-holmes-negotiates-17-6-million-sale-of-natick-office-building-to-mathworks/" }, { "headline": "MathWorks acquired VectorZero", "year": 2020, "summary": "The acquisition expanded MathWorks' capabilities in automotive simulation and related scenario-generation workflows.", "tags": [ "mna" ], "isScandal": false, "sourceUrl": "https://www.crunchbase.com/organization/mathworks/company_financials" }, { "headline": "MathWorks and SiSoft introduced products following their acquisition relationship", "year": 2019, "summary": "At DesignCon, the companies presented SerDes Toolbox and Mixed-Signal Blockset, combining MathWorks software with SiSoft expertise in signal-integrity and mixed-signal design.", "tags": [ "mna", "product_launch" ], "isScandal": false, "sourceUrl": "https://www.eetimes.com/mathworks-sisoft-announce-first-products-following-acquisition/" }, { "headline": "MathWorks acquired PolySpace Technologies", "year": 2007, "summary": "The acquisition brought PolySpace's static-analysis and embedded-software verification capabilities into MathWorks' product portfolio.", "tags": [ "mna" ], "isScandal": false, "sourceUrl": "https://www.electronicdesign.com/markets/automotive/article/21797247/the-mathworks-acquires-polyspace-technologies" } ], "encyclopedia": { "history": "MathWorks was established in 1984 by Cleve Moler, Jack Little, and Steve Bangert to commercialize MATLAB, an interactive environment for numerical computation. Moler had originally created MATLAB as a way to make matrix-based mathematical software more accessible, and the company developed the idea into a commercial platform for technical users. MATLAB's combination of a high-level language, numerical routines, visualization, and interactive experimentation helped it gain a strong presence in universities, laboratories, and engineering organizations.\n\nOver time, MathWorks expanded MATLAB beyond its original matrix-oriented role. Specialized toolboxes added capabilities for statistics, optimization, signal and image processing, control, communications, financial modeling, machine learning, and other disciplines. This toolbox structure allowed the company to serve varied technical markets while preserving MATLAB as a common environment for computation and algorithm development. Education and research adoption reinforced the platform's role as a teaching and prototyping tool, while industrial customers used it for analysis, design, and development.\n\nSimulink became the company's other central platform. Its block-diagram approach enabled engineers to represent dynamic systems graphically, simulate system behavior, and connect models with MATLAB algorithms. The two products together supported the model-based-design workflow, particularly in industries where complex embedded systems must be modeled, tested, verified, and deployed. MathWorks subsequently added tools for physical modeling, state-machine design, code generation, testing, and deployment to hardware.\n\nThe company broadened its embedded-software offering through the 2007 acquisition of French software developer PolySpace Technologies. PolySpace's technology analyzed source code and detected classes of runtime errors before execution. MathWorks integrated this capability into the Polyspace family and positioned it alongside Simulink-oriented development for safety- and quality-conscious embedded applications.\n\nMathWorks continued to extend its engineering portfolio through partnerships, internal development, and acquisitions. The company acquired SiSoft, whose technology addressed signal integrity, serial links, SerDes modeling, and IBIS-AMI workflows. Products revealed in 2019 included SerDes Toolbox and Mixed-Signal Blockset. MathWorks also acquired VectorZero in 2020, adding automotive simulation-related capabilities. These moves reflected the company's strategy of connecting algorithm development and system simulation with specialized engineering workflows.\n\nAs its products matured, MathWorks developed a global commercial and educational presence. It operates through offices and teams serving customers in multiple regions and supports users with documentation, technical support, training, consulting, online learning, events, partner programs, and application examples. Marketing programs have included global digital and social activity, industry-specific campaigns, account-based marketing, customer-adoption programs, and education and student initiatives. The company remains privately held and is known primarily as the developer of an integrated software ecosystem for mathematical computing, engineering simulation, and model-based design.\n\nThe MathWorks was founded in 1984 by Cleve Moler, Jack Little, and Steve Bangert. Its origins are closely connected with MATLAB, a numerical-computing environment first developed by Moler to give students and researchers easier access to matrix computation and numerical linear algebra. The founders developed the company around the idea that technical users should be able to explore mathematical problems interactively without having to write large amounts of low-level software.\n\nDuring its early growth, MathWorks commercialized MATLAB for universities, research organizations, and engineering users. The platform's combination of an interactive command environment, matrix-oriented language, visualization capabilities, and extensible toolboxes helped it spread beyond its initial academic audience. MATLAB became a common environment for teaching computational methods and for developing prototypes in engineering, science, and applied mathematics.\n\nThe company subsequently expanded from numerical computation into graphical modeling and simulation. Simulink became the principal companion environment for representing dynamic systems with block diagrams and simulating their behavior. Its adoption in control engineering and embedded development helped MathWorks establish a role in industrial workflows, where users could move from mathematical analysis and algorithm design toward system simulation, testing, verification, and implementation.\n\nMathWorks broadened the platform through specialized toolboxes and products. These offerings addressed fields including signal and image processing, control, communications, statistics, optimization, financial modeling, parallel computing, machine learning, deep learning, computer vision, robotics, and wireless systems. The company also developed tools for generating production code, testing software, verifying models, deploying applications, and managing computational workloads across networks and cloud environments.\n\nIts customer base grew across several related markets. Universities and schools adopted MATLAB and Simulink for teaching and research; government laboratories used them for scientific and engineering programs; and manufacturers and technology companies incorporated them into product-development processes. Automotive, aerospace, communications, electronics, energy, industrial automation, and medical-device organizations have used the products for modeling, algorithm development, simulation, and verification. MathWorks has supported this expansion through training, technical support, documentation, consulting, and educational programs.\n\nThe company remains privately held and headquartered in Natick, Massachusetts, with international offices and a worldwide customer base. In the 2010s and 2020s, its product direction increasingly reflected developments in artificial intelligence, autonomous systems, robotics, digital engineering, cloud computing, and deployment to embedded and enterprise environments. MATLAB gained tools for modern machine learning and data science, while Simulink and related products continued to develop around model-based systems engineering, automated testing, code generation, and virtual prototyping.\n\nMathWorks' historical significance rests less on consumer visibility than on its influence within professional and academic technical computing. MATLAB established a durable language-and-environment model for numerical work, while Simulink helped popularize graphical modeling as part of engineering design. Together, they form the center of a connected software ecosystem that supports experimentation, simulation, implementation, and education across a wide range of technical disciplines.", "milestones": [ { "year": 1984, "title": "The MathWorks is founded", "summary": "Cleve Moler, Jack Little, and Steve Bangert establish The MathWorks to commercialize mathematical-computing software, especially MATLAB.", "sourceUrl": "https://www.mathworks.com/company/aboutus.html" }, { "year": 2007, "title": "PolySpace Technologies acquired", "summary": "MathWorks acquired French embedded-software verification company PolySpace Technologies.", "sourceUrl": "https://www.electronicdesign.com/markets/automotive/article/21797247/the-mathworks-acquires-polyspace-technologies" }, { "year": 2018, "title": "Company fact sheet reported billion-dollar revenue", "summary": "A MathWorks fact sheet reported $1 billion in revenue for 2018, with 60 percent from outside the United States.", "sourceUrl": "https://www.mathworks.com/content/dam/mathworks/tag-team/Objects/c/company-fact-sheet-8282v18.pdf" }, { "year": 2019, "title": "SerDes and mixed-signal products introduced", "summary": "MathWorks and SiSoft introduced SerDes Toolbox and Mixed-Signal Blockset at DesignCon.", "sourceUrl": "https://www.eetimes.com/mathworks-sisoft-announce-first-products-following-acquisition/" }, { "year": 2020, "title": "VectorZero acquired", "summary": "MathWorks acquired VectorZero, expanding its automotive simulation capabilities.", "sourceUrl": "https://www.crunchbase.com/organization/mathworks/company_financials" }, { "year": 1984, "title": "MATLAB becomes the company’s core platform", "summary": "The company develops MATLAB as an interactive environment for matrix computation, numerical analysis, visualization, and technical programming.", "sourceUrl": "https://www.mathworks.com/products/matlab.html" }, { "year": 1994, "title": "Simulink is introduced", "summary": "MathWorks introduces Simulink as a graphical environment for modeling and simulating dynamic systems.", "sourceUrl": "https://www.mathworks.com/products/simulink.html" }, { "year": 2015, "title": "MathWorks expands its machine-learning portfolio", "summary": "The company introduces products and capabilities that support machine learning workflows within MATLAB, extending the platform beyond traditional numerical analysis.", "sourceUrl": "https://www.mathworks.com/discovery/machine-learning.html" }, { "year": 2017, "title": "Deep Learning Toolbox evolves within MATLAB", "summary": "MathWorks expands dedicated deep-learning development capabilities for training, analyzing, and deploying neural networks.", "sourceUrl": "https://www.mathworks.com/products/deep-learning.html" }, { "year": 2020, "title": "Cloud and online access become more prominent", "summary": "MathWorks expands browser-based and cloud-oriented access options for MATLAB and related products, supporting distributed education and engineering work.", "sourceUrl": "https://www.mathworks.com/products/matlab-online.html" } ], "products": [ { "name": "MATLAB", "category": "Technical computing and programming environment", "description": "MATLAB is MathWorks' core technical-computing platform. It combines a programming language with numerical computation, data analysis, visualization, application development, and access to specialized toolboxes. Engineers, scientists, educators, and researchers use it to explore data, formulate algorithms, build computational models, and communicate technical results. Its ecosystem covers disciplines including artificial intelligence, statistics, optimization, signal processing, control, communications, finance, and image processing.\n\nMATLAB is a programming and interactive-computing environment for numerical calculation, data analysis, visualization, algorithm development, and application creation. Its matrix-oriented language and extensive function libraries support work in engineering, science, statistics, optimization, signal processing, image processing, machine learning, and education. Users can work interactively, write scripts and applications, connect to external data and hardware, and use specialized toolboxes to address domain-specific problems.", "launchedYear": 1984, "status": "active" }, { "name": "Simulink", "category": "Modeling and simulation", "description": "Simulink is a graphical environment for modeling, simulating, and analyzing dynamic and multidomain systems. Users construct block diagrams representing algorithms, physical systems, or control architectures and then test behavior through simulation. Simulink is central to MathWorks' model-based-design proposition and is used in automotive, aerospace, industrial, energy, communications, and other engineering workflows that may continue through verification, automatic code generation, and hardware deployment.\n\nSimulink is a graphical modeling and simulation environment for dynamic systems. Engineers use block diagrams to represent algorithms, physical processes, control systems, and system interactions, then simulate behavior and test designs. The product supports workflows that can extend from model creation and analysis to verification, automatic code generation, hardware-in-the-loop testing, and deployment. It is widely associated with control, automotive, aerospace, robotics, communications, energy, and industrial applications.", "launchedYear": 1994, "status": "active" }, { "name": "Polyspace", "category": "Software verification", "description": "Polyspace is a family of code-verification tools acquired through MathWorks' purchase of PolySpace Technologies. It uses static analysis to identify categories of runtime errors and other defects without requiring the software to be executed. The tools are used in embedded development and regulated or safety-conscious environments, including workflows involving hand-written code and model-based design.\n\nPolyspace is a family of products for analyzing source code and demonstrating properties such as absence of certain run-time errors and compliance with coding standards. It is aimed particularly at safety- and quality-critical software development, where static analysis, coding-rule checking, and formal verification can complement testing. Polyspace is used in embedded and industrial software workflows alongside model-based development tools.", "launchedYear": 2007, "status": "active" }, { "name": "SerDes Toolbox", "category": "Signal-integrity and communications design", "description": "SerDes Toolbox supports the modeling and analysis of high-speed serial links and SerDes designs. It brings together capabilities relevant to serial-link architects, signal-integrity engineers, and IBIS-AMI model developers, helping users evaluate transmitter and receiver equalization and related communication-channel behavior within the MATLAB and Simulink ecosystem.", "launchedYear": 2019, "status": "active" }, { "name": "Mixed-Signal Blockset", "category": "Mixed-signal modeling and simulation", "description": "Mixed-Signal Blockset provides modeling and simulation tools for mixed-signal systems. It supports the analysis of interactions between analog and digital components and is intended for workflows involving communications, semiconductor, and electronic-system design. Its development incorporated technology and engineering expertise associated with SiSoft's signal-integrity and mixed-signal work.", "launchedYear": 2019, "status": "active" }, { "name": "MATLAB Toolboxes", "category": "Specialized technical-computing software", "description": "MATLAB Toolboxes add specialized algorithms, workflows, and applications to the core MATLAB environment. The portfolio covers areas such as statistics and machine learning, optimization, signal and image processing, computer vision, deep learning, communications, mapping, financial modeling, parallel computing, and robotics. Toolboxes allow organizations and educators to use a common platform while tailoring it to particular technical disciplines.", "launchedYear": null, "status": "active" }, { "name": "Stateflow", "category": "State-machine modeling", "description": "Stateflow provides graphical and tabular notations for modeling supervisory logic, state machines, flow charts, and event-driven behavior. Used with Simulink, it helps engineers represent decision logic and operating modes in systems such as controllers, embedded devices, and autonomous applications. Stateflow models can be simulated and incorporated into verification and code-generation workflows.", "launchedYear": null, "status": "active" } ], "campaigns": [ { "year": null, "name": "MATLAB brand awareness campaign", "markets": [ "Global" ], "summary": "A documented MathWorks advertising initiative sought to strengthen MATLAB's image as an essential, leading-edge tool for current and prospective users. The creative direction used a more polished and editorial visual language than conventional technology advertising and was developed for print, digital, and social channels with input from subject-matter experts.", "outcome": null, "sourceUrl": "https://www.bernicemerola.com/work/mathworks-ad-campaign" }, { "year": null, "name": "Industry and account-based marketing programs", "markets": [ "India and other international markets" ], "summary": "MathWorks describes integrated campaigns involving account-based marketing, strategic customer engagement, industry programs, events, content, partners, and customer-success teams. These programs are designed to increase onboarding, adoption, executive engagement, and expansion within priority accounts and industries.", "outcome": null, "sourceUrl": "https://www.mathworks.com/company/jobs/opportunities/35635-india-field-industry-marketing-specialist.html" }, { "year": null, "name": "Corporate social and employee advocacy programs", "markets": [ "Global" ], "summary": "MathWorks' corporate and MATLAB social-media activity uses technical content, video, employee advocacy, and communications related to business, hiring, and diversity, equity, and inclusion objectives.", "outcome": null, "sourceUrl": "https://www.mathworks.com/company/jobs/opportunities/34155-social-media-specialist.html" } ], "scandals": [], "decisions": [ { "year": 2007, "type": "mna", "title": "Acquire PolySpace Technologies", "context": "MathWorks sought to strengthen embedded-software verification and connect automatic error detection more closely with Simulink-based development.", "action": "The company acquired French software developer PolySpace Technologies and incorporated its analysis technology into the Polyspace product family.", "aftermath": "The acquisition expanded MathWorks beyond numerical computing and simulation into static analysis and embedded-code verification.", "financials": null, "competitorReactions": [], "sourceUrl": "https://www.electronicdesign.com/markets/automotive/article/21797247/the-mathworks-acquires-polyspace-technologies" }, { "year": 2019, "type": "product_launch", "title": "Introduce SerDes Toolbox and Mixed-Signal Blockset", "context": "High-speed serial links and mixed-signal systems require specialized modeling, signal-integrity, and semiconductor-design workflows.", "action": "MathWorks and SiSoft introduced SerDes Toolbox and Mixed-Signal Blockset at DesignCon after combining their technical work in the relevant fields.", "aftermath": "The products extended MATLAB and Simulink into signal-integrity, SerDes, IBIS-AMI, and mixed-signal design use cases.", "financials": null, "competitorReactions": [], "sourceUrl": "https://www.eetimes.com/mathworks-sisoft-announce-first-products-following-acquisition/" }, { "year": 2020, "type": "mna", "title": "Acquire VectorZero", "context": "Automotive engineering customers increasingly use simulation and virtual scenarios to develop and test vehicle systems.", "action": "MathWorks acquired VectorZero, according to company transaction databases.", "aftermath": "The transaction broadened MathWorks' automotive simulation and scenario-generation capabilities.", "financials": null, "competitorReactions": [], "sourceUrl": "https://www.crunchbase.com/organization/mathworks/company_financials" }, { "year": 1994, "type": "product_launch", "title": "Launch of Simulink", "context": "MathWorks sought to extend MATLAB from numerical and algorithmic work into graphical modeling and simulation of dynamic systems.", "action": "The company introduced Simulink as a block-diagram environment integrated with MATLAB.", "aftermath": "Simulink became a central product for control design, embedded development, and model-based engineering.", "financials": null, "competitorReactions": [], "sourceUrl": "https://www.mathworks.com/products/simulink.html" }, { "year": 2015, "type": "strategy", "title": "Expansion into machine learning and data science", "context": "Growing use of machine learning and large-scale data analysis created demand for capabilities beyond traditional numerical and engineering computation.", "action": "MathWorks added and expanded machine-learning workflows, algorithms, examples, and deployment capabilities within MATLAB and related products.", "aftermath": "The MATLAB ecosystem became more relevant to data scientists and artificial-intelligence developers while retaining its engineering focus.", "financials": null, "competitorReactions": [], "sourceUrl": "https://www.mathworks.com/discovery/machine-learning.html" }, { "year": 2020, "type": "strategy", "title": "Expansion of browser-based and cloud-oriented access", "context": "Remote education, distributed engineering teams, and cloud computing increased demand for access to technical software without a traditional local installation.", "action": "MathWorks expanded MATLAB Online and related online and cloud access options.", "aftermath": "Users gained additional ways to work with MATLAB through browsers and managed computing environments.", "financials": null, "competitorReactions": [], "sourceUrl": "https://www.mathworks.com/products/matlab-online.html" } ], "sources": [ { "title": "MathWorks company information", "url": "https://www.mathworks.com/company/aboutus.html" }, { "title": "MathWorks company fact sheet", "url": "https://www.mathworks.com/content/dam/mathworks/tag-team/Objects/c/company-fact-sheet-8282v18.pdf" }, { "title": "The MathWorks acquires PolySpace Technologies", "url": "https://www.electronicdesign.com/markets/automotive/article/21797247/the-mathworks-acquires-polyspace-technologies" }, { "title": "MathWorks and SiSoft announce first products following acquisition", "url": "https://www.eetimes.com/mathworks-sisoft-announce-first-products-following-acquisition/" }, { "title": "MathWorks advertising campaign", "url": "https://www.bernicemerola.com/work/mathworks-ad-campaign" }, { "title": "MathWorks marketing roles and campaign programs", "url": "https://www.mathworks.com/company/jobs/teams-roles/marketing.html" }, { "title": "MATLAB product overview", "url": "https://www.mathworks.com/products/matlab.html" }, { "title": "Simulink product overview", "url": "https://www.mathworks.com/products/simulink.html" }, { "title": "Machine learning with MATLAB", "url": "https://www.mathworks.com/discovery/machine-learning.html" }, { "title": "Deep Learning Toolbox", "url": "https://www.mathworks.com/products/deep-learning.html" }, { "title": "MATLAB Online", "url": "https://www.mathworks.com/products/matlab-online.html" }, { "title": "Polyspace overview", "url": "https://www.mathworks.com/products/polyspace.html" }, { "title": "The MathWorks - Wikipedia", "url": "https://en.wikipedia.org/wiki/MathWorks" } ], "needsReview": true }, "sources": [ { "title": "MathWorks company information", "url": "https://www.mathworks.com/company/aboutus.html" }, { "title": "MathWorks company fact sheet", "url": "https://www.mathworks.com/content/dam/mathworks/tag-team/Objects/c/company-fact-sheet-8282v18.pdf" }, { "title": "The MathWorks acquires PolySpace Technologies", "url": "https://www.electronicdesign.com/markets/automotive/article/21797247/the-mathworks-acquires-polyspace-technologies" }, { "title": "MathWorks and SiSoft announce first products following acquisition", "url": "https://www.eetimes.com/mathworks-sisoft-announce-first-products-following-acquisition/" }, { "title": "MathWorks advertising campaign", "url": 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