The new BlackBerry Storm from Research In Motion Ltd. will be available Nov. 21 at Verizon Wireless for $200, with two-year contract and $50 mail-in rebate.
The Storm’s subsidized price comes in at the same price point as Apple Inc.’s iPhone 3G with 8 GB of onboard memory – the widely accepted new price ceiling for touchscreen smartphones priced to sell.
While the Storm’s features have been touted, its price point was the critical variable awaited by the wireless industry. Several analysts have said that, given RIM’s tepid outlook – widely shared by competitors – the Storm represents a possible growth driver.
A differentiator for the Storm: the touchscreen provides a “click” response to being pressed, while the iPhone relies on its visual responsiveness and other touchscreens provide a haptic vibration.
The device will pack 3G connectivity on Verizon’s CDMA Rev. A network and offers GSM/GPRS/EDGE and UMTS/HSPA (2100 MHz) for global roaming. Verizon parent Vodafone has said it will roll out the device in Europe.
RIM is positioning the Storm to both enterprise and consumer segments. The company, once enterprise-centric, now straddles both markets effectively. Recent data reflects that as much as 60% of RIM’s new sales are to consumers.
For Verizon, the device adds another arrow in its portfolio, which must contend with rival AT&T Mobility, which has an exclusive deal to sell the iPhone.
RIM’s Storm hits Verizon Wireless at $200
ABOUT AUTHOR
Jump to Article
What infra upgrades are needed to handle AI energy spikes?
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants