Latest Strategic Study Released on Global Software for Autonomous Cars Market with forecast till 2025, the report comprises of historical data and estimation of the Global Software for Autonomous Cars Market. The following Industry is shown to progress with a noteworthy rise in the Compound Annual Growth Rate (CAGR) during the forecast period owing to various factors driving the market. Some of the key players mentioned in this research are "Alphabet, Delphi Automotive, Intel, NVIDIA, QNX Software Systems, Tesla, Apple, Autotalks, Cisco, Cohda Wireless, Covisint, DeepMap & Nauto", etc. Rapid Growth Factors In addition, the market is growing at a fast pace and the report shows us that there are a couple of key factors behind that. The most important factor that's helping the market grow faster than usual is the tough competition. Business Strategies Key strategies in theGlobal Software for Autonomous Cars Market that includes product developments, partnerships, mergers and acquisitions, etc discussed in this report.

Ottawa's QNX Software Systems, a subsidiary of Research in Motion, is unleashing a series of automotive technology-related offerings at the Consumer Electronics Showcase this week in Las Vegas. Among the QNX announcements at CES are a new technology concept car, version 2.0 of the QNX CAR application platform, and a new speech framework for in-car voice recognition. While we're still a little ways off from KITT of Knight Rider-levels of interactivity with our cars, QNX has launched a new framework for in-car speech recognition. A component of the QNX CAR application platform, the framework allows in-car applications to access AT&T Watson speech recognition technology. The combination will allow developers to create more intuitive and functional interactive voice applications for automobiles.

QNX wants to put an end to in-car voice systems that require an awkward-sounding syntax to get the job done. As part of its CES launches, it's rolling out a framework for its speech recognition technology leaning on AT&T's Watson engine. By offloading the phrase interpretation to AT&T's servers, any infotainment system with the framework inside can focus on deciphering the speaker's intent -- letting drivers spend more time navigating or playing music, instead of remembering the necessary magic words. QNX will roll out the voice element as part of its CAR platform at an unspecified point in 2013. We'll have to wait until car and head-end unit designers implement the platform in tangible hardware, but the new speech system will hopefully lead to more organic-sounding conversations with our cars.