IBM reported its second quarter fiscal 2016 earnings on July 18, with declining hardware revenues but a growing cloud business.
For the quarter, IBM reported revenue of $20.2 billion, which is a three percent year-over-year decline. Net Income was reported at $2.5 billion for a 29 percent decline from 2015. IBM’s cloud business, however, is growing rapidly with second quarter revenue reported at $3.4 billion for a 30 percent gain over the second quarter of fiscal 2015. Over the last twelve months, IBM has generated $11.6 billion in total cloud revenue.
Protecting your company’s data is critical. Cloud storage with automated backup is scalable, flexible and provides peace of mind. Cobalt Iron’s enterprise-grade backup and recovery solution is known for its hands-free automation and reliability, at a lower cost. Cloud backup that just works.
A large part of IBM’s cloud-as-service efforts are delivered by way of the company’s Bluemix platform. During the second quarter IBM expanded Bluemix with an Apache Spark development environment for data scientists. As well, IBM expanded its OpenWhisk event driven programming platform, which is referred to as ‘serverless’ computing by some analysts.
“We also announced a breakthrough in making quantum computing available on the IBM cloud,” Martin Schroeter, SVP and Chief Financial Officer at IBM said during his company’s earnings call. “The IBM Quantum Experience is a great example of how cloud is making emerging technologies available that wouldn’t have been accessible in the past. “
Schroeter added that since launching in May, there have been 175,000 experiments run on the IBM Quantum Experience through active users in nearly 150 countries.
“This kind of open innovation will allow for the next stage of development in quantum information technology and help push a universal quantum computer to reality even faster,” Schroeter said.
There are also some big deals that are helping to accelerate IBM’s cloud growth, including a seven-year $1.3 billion deal with CSC. Additionally Schroeter cited a deal with industrial manufacturing firm Pratt & Whitney, which will see business, manufacturing, and engineering enterprise systems moving to a fully managed environment on the IBM cloud.
“They’re expecting to double their engine production by 2020 and we’ll provide them with the means to manage, analyze, and grow their infrastructure dramatically to accommodate the company’s growth,” Schroeter said.
While cloud is growing, IBM’s hardware business is not. IBM reported system revenue of $2.0 billion for the quarter down 23.2 percent year-over-year. A lot of the revenue decline is tied to the diminishing market for UNIX, which is why IBM is taking direct aim at the growing Linux market.
“This quarter we grew year to year and quarter to quarter with our Linux on Power strategy. It is becoming a more meaningful part of our business with over 10 percent of our POWER revenue in the second quarter,” Schroeter said.
Sean Michael Kerner is a senior editor at Datamation and InternetNews.com. Follow him on Twitter @TechJournalist
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.