11Ants – A very good route into the predictive analytics world, and sophisticated tools to move into large scale enterprise solutions. Suitable for small and medium size businesses too. 
Angoss – Angoss provides a rich set of tools for analytics and business intelligence activities. The cloud based offerings look particularly attractive, and the breadth of the product set will appeal to organisations needing more than just analytics capability.
DataMinerXL – is an ideal tool for exploring moderately sized datasets and provides most functions an analyst will need. The low cost and free edition will encourage widespread use, making predictive models affordable for smaller organisations.
FICO – Companies in financial services, retail and healthcare should at least look at FICO’s offerings. There is a rich combination of technology, services and experience that is highly likely to add value.
IBM – IBM offers a full suite of technologies and services to support large organisations as they grow their analytics capability. This includes highly technical analytics workbenches through to end-user tools. 
KXEN – A leader in the world of predictive analytics and specifically focused on applications of this nature. Very advanced technology wrapped in a fairly easy to use interface.
Oracle – has developed a very capable data mining toolset, and its predictive analytics offering may just be a teaser to lure users into a that broader (and more costly) product architecture. The spreadsheet add-on is not much more than a toy – the serious stuff is to be found in it’s additional offerings. 
Rapid-i – Rapid-i provides analytics tools for professional analysts. The user interface is productive for those who now what they are doing, and the breadth of capability means most business problems can be addressed.
Revolution Analytics – It’s very simple. If you know what you are doing then Revolution Analytics version of R will be a natural choice. If you don’t know what you are doing then other options might be appropriate.
Salford Systems – offers some different perspectives on the use of predictive technology and is unusually honest about the pitfalls that such technology can present. A good company to deal with and technology that has an edge on much of the competition.
SAP Predictive Analysis – SAP has provided a predictive analysis capability with utilisation of R and some of it’s own algorithms. The visual front end will be welcomed by business analysts. Overall there would seem to be no compelling reason to go this route unless the organisation already uses SAP extensively.
SAS – SAS is the bedrock of analysis capability in many of the world’s largest organisations. There is increasing resistance to the high prices the company commands for its technology and this is creating opportunities for other suppliers.
Statistica solutions portfolio is often seen as a less costly alternative to SAS, and for many organisations it will satisfy every conceivable need.