ndicators and analyzing the data technology development, evolving customer needs, and overall market evolution. In addition to the market being analyzed (e.g., software for telecom operators), the internal software development of the customers (e.g., telecom operators) and the market of the customers (telecom services provided by users of telecom software to their customers) need to be analyzed. The main areas for data collection are: Standards for processes of the target vertical industry (such as eTOM for teleoperator processes). Market segmentations of the software market analyzed (such as TMF applica- tion map for OSS/BSS software). Technologies and interface standards needed by the software of the vertical industry (such as communication network technologies and OSS/J in OSS/BSS) Software market data, including volumes of segments divided according to technologies, vendors, and delivery method (SW products, IT services, SaaS). Customer market data including the split of software spending into in-house development, IT services, and software product purchases. Indicator Calculation As all indicator data is typically not readily available, some data may have to be acquired with interviews, collected from various sources (e.g., Internet and annual reports) and calculated based on synchronizing and combining multiple data sources. Developing Toolboxes 3 Analysis The basic analysis of contemporary situation is based on matching the indicator data against existing industry evolution models. The basic analysis can be made by calculating the share of in-house software development, use of external IT services and purchase of SW products and matching the data with the model of evolution of a vertical industry software market. The attractiveness of the market for the software vendors can be analyzed by counting the number of vendors and the HHI index and comparing that with the industry evolution model. A detailed analysis can be carried out by applying the other methods and models presented in this book. 4 Scenario Cre