Second Module of the 2019 PLM MAR Report Series
ANN ARBOR, Michigan, 11 June 2019—CIMdata, Inc., the leading global PLM strategic management consulting and research firm, announces the release of the CIMdata PLM Industry Review and Trends Report, the second of five modules of the CIMdata 2019 Market Analysis Report Series. The MAR Series provides detailed information and in-depth analysis on the worldwide PLM market during 2018. It contains analyses of major trends and issues; revenues of leading PLM providers; and revenue analyses for geographical regions, industry sectors, and historical and projected data on market growth.
The 2019 PLM Industry Review and Trends Report focuses on “Augmented Intelligence: Applications Across the Lifecycle.” The idea of artificially intelligent beings dates back to at least 1872 and Samuel Butler’s utopian novel Erewhon. His vision, like many in fiction that came after, was that human kind was in danger of being supplanted by self-replicating machines. Today, it is the business press that is touting that eventuality—that smart machines will replace humans in tomorrow’s factories and offices. The reality is somewhat less imposing, but, in many ways, potentially just as impactful.
Moore’s Law is the gift that keeps on giving, providing increasing computing, storage, and networking capabilities per unit cost and making these smart applications possible while also making it easy to interconnect them in ways we are just beginning to understand. In the 1980s, the hope was for an artificial version of general intelligence, with studies focusing on learning how humans process and access information and getting machines to replicate that process. While that led to some breakthroughs in natural language processing and knowledge representation, general intelligence was beyond our grasp. Successes by IBM with Deep Blue in chess and Watson on the TV show Jeopardy showed that computers could best humans on focused tasks. Google did them one better with their AlphaGo besting human champions in the famously complex board game, Go. Interestingly, AlphaGo was not trained in the traditional way using a database created by humans, instead it used machine learning and tree search techniques. But intelligent applications are getting more ubiquitous. Most of us walk around with Siri or Google on our phones or have Alexa or Google waiting to be beckoned in our living rooms.
What about smart, connected applications in the product lifecycle? In fact, there are many use cases only possible using different forms of artificial intelligence or machine learning. IBM is pushing Watson in a range of business applications, including to help evaluate the accuracy and completeness of requirements defined in product development. They are also using it to help companies easily adapt their products to seasonality, weather, and availability. Machine learning algorithms are helping stitch together photographs into dimensionally accurate 3D representations. Image search is helping us find other instances of any graphic element, be it a picture found using Google image search, or a 3D design found using CAD data in a data management system. Some providers are looking past generative design, which creates new geometry in response to boundary conditions, to generative engineering of subsystems. The most fruitful applications to date are in the area of maintenance, where torrents of in-use data can help predict failure and create maintenance plans, even more important now that companies are betting their profits on product as a service.
In this report, CIMdata will explore the applications of augmented intelligence across the product lifecycle. CIMdata believes that the work to date barely scratches the surface of what is possible. While humans might not be replaced, CIMdata agrees with the approach of many leading solution providers that this machine intelligence will augment us, helping us to quickly make the best possible decisions.
This PLM Industry Review and Trends Report is the second of five modules of the CIMdata 2019 Market Analysis Report Series to be released. The MAR Series provides detailed information and in-depth analysis on the worldwide PLM market during calendar year 2018. It contains analyses of major trends and issues; revenues of leading PLM providers; and revenue analyses for geographical regions, industry sectors, and historical and projected data on market growth.
The CIMdata PLM Market Analysis Report Series is packaged as five modules:
- The CIMdata 2019 Executive PLM Market Report provides an overview of CIMdata’s complete global analysis. It includes key charts on PLM market investment statistics through 2018, forecasts of investments for 2019 through 2023, and a summary of PLM solution providers’ performance in 2018.
- The CIMdata 2019 PLM Industry Review and Trends Report is mainly qualitative in nature, and focuses on key issues facing the global PLM ecosystem of solution providers and end user organizations. It highlights changes that occurred in 2018, what effects those changes may have in the short and medium term, and what is on the horizon in the years to come.
- The CIMdata 2019 PLM Market and Solution Provider Analysis Report details measures of and forecasts for the overall PLM market and its key segments, including Tools, cPDm, and Digital Manufacturing. The Tools section has additional details on sub-segments, including MCAD, CAM S&A, EDA, and AEC. It also includes CIMdata’s estimates of PLM solution provider revenues in these segments and sub-segments for 2019 through 2023.
- The CIMdata 2019 PLM Market Geographic Analysis Report provides an additional view of the 2018 market results, by major geography. CIMdata’s 2018 estimates and market forecasts for PLM and the major PLM market segments are provided for the Americas, EMEA, and Asia-Pacific. In addition, the report includes estimates and forecasts for the cPDm segment within specific European and Asia-Pacific countries and regions.
- The CIMdata 2019 PLM Market Industry Analysis Report provides an industry segmentation view of the 2018 market results. CIMdata’s 2019 estimates and market forecasts for PLM and cPDm are provided for eight different industry sectors: aerospace and defense; automotive and other transportation; electronics/telecommunications; fabrication and assembly; process-packaged goods; process—petrochemical; utilities; and construction, infrastructure and shipbuilding.
The CIMdata PLM Market Analysis Report Series is available as a five-module set or each module can be purchased separately. Parts of the MAR are available as part of CIMdata's PLM Community Memberships. Further details and pricing information about the report and Community Memberships are available at www.cimdata.com.
