Employees would most recommend the following companies to their friends looking for an IoT job: IGEL, SAP, ARM, Fortinet, Google, Microsoft, Bosch, Samsara, Schneider Electric, Siemens, Dell Technologies, Red Hat, Cisco Systems and Trend Micro. These 14 companies are the highest rated by employees working for them based on a comparison of Computer Reseller News’ Internet of Things 50, 2019 with their respective Glassdoor scores as of today, Sunday, August 18, 2019.
Forbes readers’ most frequent requests center on which companies are the best to work for in emerging technology fields, including IoT. The Computer Reseller News’ Internet of Things 50, 2019 list of companies is used to complete the analysis as it is an impartial, independent list created by CRN. Using the CRN list as a foundation, the following analysis captures the best companies in their respective areas today.
Comparing the Glassdoor scores of the (%) of employees who would recommend this company to a friend and (%) of employees who approve of the CEO, the following analysis was completed. 14 IoT companies on the list have very few (less than 20) or no Glassdoor reviews, so they are excluded from the rankings. In 2017 I did a factor analysis and found that companies who flood Glassdoor with fake reviews hit a wall around ten posts. With those findings in mind, an IoT company would need a minimum of 20 current employee interviews to be included in the final recommended list. Please find the full data set available for download here. The best IoT companies to work for are shown below and please click on the graphic to expand for easier reading:
The highest-rated IoT CEOs on Glassdoor as of August 18, 2019, include the following:
|| % of employees who approve of the CEO as of August 18, 2019, on Glassdoor
||2019 CRN Internet of Things Categories
|Jed Ayres, CEO, North America
||IoT Software and Services
|Bill McDermott, CEO (Glassdoor Top CEOs of 2019)
||IoT Software and Services
|Satya Nadella, CEO (Glassdoor Top CEOs of 2019)
||IoT Software and Services
|Sanjit Biswas, Founder, CEO
|James Whitehurst, President, CEO
||IoT Software and Services
|Volkmar Denner, CEO
|Simon Segars, CEO
|Jean-Pascal Tricoire, CEO (Glassdoor Top CEOs of 2019)
||Industrial Internet of Things (IoT) Providers
|Ken Xie, Founder, Chairman, CEO
|Thomas Kurian, CEO
||IoT Software and Services
|Michael Dell, Chairman, CEO
|Eva Chen, CEO
|Joe Kaeser, CEO
||Industrial Internet of Things (IoT) Providers
|Chuck Robbins, CEO (Glassdoor Top CEOs of 2019)
Bottom Line: Instead of only relying on security vendors’ claims about Zero Trust, benchmark them on a series of five critical success factors instead, with customer results being key.
Analytics, Zero Trust Dominated RSA
Analytics dashboards dominated RSA from a visual standpoint, while Zero Trust Security reigned from an enterprise strategy one. Over 60 vendors claimed to have Zero Trust Security solutions at RSA, with each one defining the concept in a slightly different way.
RSA has evolved into one of the highest energy enterprise-focused conferences today, and in 2019 Zero Trust was center stage in dozens of vendor booths. John Kindervag created the Zero Trust Security framework while at Forrester in 2010. Chase Cunningham, who is a Principal Analyst at Forrester today, is a leading authority on Zero Trust and frequently speaks and writes on the topic. Be sure to follow his blog to stay up to date with his latest research. His most recent post, OK, Zero Trust Is An RSA Buzzword — So What?, captures the current situation on Zero Trust perfectly. Becca Chambers’ blog post, Talking All Things Zero Trust at RSA Conference 2019, includes an insightful video of how the conferences’ attendees define Zero Trust.
With so many vendors claiming to offer Zero Trust solutions, how can you tell which ones have enterprise-ready, scalable solutions? The following are five ways to demystify Zero Trust:
- Customer references are willing to talk and case studies available. With the ambitious goal of visiting every one of the 60 vendors who claimed to have a Zero Trust solution at RSA, I quickly realized that there’s a dearth of customer references. To Chase Cunningham’s point, more customer use cases need to be created, and thankfully that’s on his research agenda. Starting the conversation with each vendor visited by asking for their definition of Zero Trust either led to a debate of whether Zero Trust was needed in the industry or how their existing architecture could morph to fit the framework. Booth staffs at the following companies deserve to be commended for how much they know about their customers’ success with Zero Trust: Akamai, Centrify, Cisco, Microsoft, MobileIron, Palo Alto Networks, Symantec, and Trend Micro. The team at Ledios Cyber, who was recently acquired by Capgemini, was demonstrating how Zero Trust applied to Industrial Control Systems and shared a wealth of customer insights as well.
- Defines success by their customers’ growth, stability and earned trust instead of relying on fear. A key part of de-mystifying Zero Trust is seeing how effective vendors are at becoming partners on the journey their customers are on. While in the Centrify booth I learned of how Interval International has been able to implement a least privilege model for employees, contractors, and consultants, streamline user onboarding, and enable the company to continue its rapid organic growth. At MobileIron, I learned how NASDAQ is scaling mobile applications including CRM to their global sales force on a Zero Trust platform. The most customer-centric Zero Trust vendors tend to differentiate on earned trust over selling fear.
- Avoid vendors who have a love-hate relationship with Zero Trust. Zero Trust is having an energizing effect on the security landscape as it provides vendors with a strategic framework they can differentiate themselves in. Security vendors are capitalizing on the market value right now, with product management and engineering teams working overtime to get new applications and platforms ready for market. I found a few vendors who have a love-hate relationship with Zero Trust. They love the marketing mileage or buzz, yet aren’t nearly as enthusiastic about changing product and service strategies. If you’re looking for Zero Trust solutions, be sure to watch for this and find a vendor who is fully committed.
- Current product strategies and roadmaps reflect a complete commitment to Zero Trust. Product demos at RSA ranged from supporting the fundamentals of Zero Trust to emulating its concepts on legacy architectures. One of the key attributes to look for is how perimeterless a given security application is that claims to support Zero Trust. How well can a given application protect mobile devices? An IoT device? How can a given application or security platform scale to protect privileged credentials? These are all questions to ask of any vendor who claims to have a Zero Trust solution. Every one of them will have analytics options; the question is whether they fit with your given business scenario. Finally, ask to see how Zero Trust can be automated across all user accounts and how privileged access management can be scaled using Identity Access Management systems including password vaults and Multi-Factor Authentication (MFA).
- A solid API strategy for scaling their applications and platforms with partner successes that prove it. One of the best questions to gauge the depth of commitment any vendor has to Zero Trust is to ask about their API strategy. It’s interesting to hear how vendors with Zero Trust-based product and services strategies are scaling inside their largest customers using APIs. Another aspect of this is to see how many of their services, system integration, technology partners are using their APIs to create customized solutions for customers. Success with an API strategy is a leading indicator of how reliably any Zero Trust vendor will be able to scale in the future.
RSA is in many ways a microcosm of the enterprise security market in general and Zero Trust specifically. The millions of dollars in venture capital invested in security analytics and Zero Trust made it possible for vendors to create exceptional in-booth experiences and demonstrations – much the same way venture investment is fueling many of their roadmaps and sales teams. Zero Trust vendors will need to provide application roadmaps that show their ability to move beyond prevention of breaches to more prediction, at the same time supporting customers’ needs to secure infrastructure, credentials, and systems to ensure uninterrupted growth.
- There have been over 154,000 AI patents filed worldwide since 2010 with the majority being in health fields (29.5%), Industry-specific solutions (25.3%) and AI-based digital security (15.7%).
- The second- and third-fastest growing global AI patent categories between 2010 and 2018 are AI-based digital security (23.4% CAGR) and AI-based mobility (23% CAGR).
- 79,936 patents were filed in the United States between 2010 and 2018, with the majority being in the health field (32.6%) followed by Industry-specific solutions (20.5%) and AI-based digital security (18%).
- Machine learning dominates the AI patent landscape today, leading all categories of AI patents including deep learning and neural networks.
These and many other insights are from an excellent presentation recently given by Kai Gramke, Managing Director of EconSight titled Artificial Intelligence As A Key Technology and Driver of Technological Progress. EconSight clients include the Swiss Federal Council, German Federal Chancellery, leading European think tanks, research institutes and half of the German DAX-30 companies. The presentation and information shared in this post were generated using the PatentSight analytics platform. PatentSight is a LexisNexis company and you can learn more about them here. The following are the key takeaways from Kai’s recent research and presentation using PatentSight:
- EconSight finds that Microsoft leads the AI patent race going into 2019 with 697 world class patents that the firm classifies as having a significant competitive impact as of November 2018. Out of the top 30 companies and research institutions as defined by EconSight in their recent analysis, Microsoft has created 20% of all patents in the global group of patent-producing companies and institutions. The following graphic provides a comparison of the top 3o in the group. Please click on the graphic to expand it for easier reading.
- Machine learning dominates the AI patent landscape today, leading all categories of AI patents including deep learning and neural networks. Machine learning is based on the foundational concepts of Bayesian analysis, data mining, and predictive analytics. Machine learning algorithms and the applications they rely on are designed to find patterns in large-scale data sets, while also being able to solve complex, constraint-based problems by learning from the data. Enterprise software companies including Microsoft, SAP, and others are actively developing AI technologies that integrate into their existing platforms, streamlining adoption across their many customers. Please click on the graphic to expand for easier reading.
- There have been 225,833 AI-based patents filed globally since 2000, with 30.7% being Industry specific (Industry 4.0 on the graphic below) followed by health-related patents (28.1%) 13.8% of all AI-based patents are for digital security and 11.9% for energy. It’s interesting to note that the fastest growing patents between 2000 and 2018 are for applying AI to marketing (22% CAGR) and AI-based digital security (18.8% CAGR). Please click on the graphic to expand for easier reading.
- Employees would most recommend Dataiku, StreamSets, 1010 Data, Reltio, Looker, SAP, Google, Salesforce, Tamr, DataRobot, Domo, Microsoft, Qubole, Attivio and Informatica to friends interested in working for business analytics, data science and machine learning, big data systems and platforms, or data management and integration company in 2018.
- These 15 companies are the highest rated in their fields of expertise as defined by Computer Reseller News as of May 11, 2018.
- Nine out of 10 employees of these top 15 companies would recommend the company they work for to a friend.
Forbes readers’ most common requests center on who the best companies are to work for in analytics, big data, data management, data science and machine learning. The latest Computer Reseller News‘ 2018 Big Data 100 list of companies is used to complete the analysis as it is an impartial, independent list aggregated based on CRN’s analysis and perspectives of the market. Using the CRN list as a foundation, the following analysis captures the best companies in their respective areas today.
Using the 2018 Big Data 100 CRN list as a baseline to compare the Glassdoor scores of the (%) of employees who would recommend this company to a friend and (%) of employees who approve of the CEO, the following analysis was completed today. 25 companies on the list have very few (less than 15) or no Glassdoor reviews, so they are excluded from the rankings. Based on analysis of Glassdoor score patterns over the last four years, the lower the number of rankings, the more 100% scores for referrals and CEOs. These companies, however, are included in the full data set available here. If the image below is not visible in your browser, you can view the rankings here.
The highest rated CEOs on Glassdoor as of May 11, 2018 include the following:
||Thomas J. Reilly
- Aconex Limited, The Trade Desk Inc. (NASDAQ: TTD), HubSpot (NYSE: HUBS), Talentica Software, Wix.com Ltd( (NASDAQ: WIX), Coupa Software (NASDAQ: COUP), SAP AG ( NYSE: SAP), The Ultimate Software Group Inc (NASDAQ: ULTI), Extreme Networks Inc.,(NASDAQ: EXTR), Guidewire Software Inc., (NYSE: GWRE), AppFolio Inc.(NASDAQ: APPF) and Mimecast Limited are the software companies employees would most recommend to a friend today.
- CEOs who earn positive recommendations on their performance can improve the percentage of employees who recommend the company to friends by as much as 82% this year up from 70% in 2015.
These and other findings are based on an analysis of Glassdoor rankings of Software Magazine’s 2017 Software 500 list of the leading software companies globally. An Excel spreadsheet was first created using the 2017 Software 500 list as the basis of the Glassdoor company comparisons. Rankings from Glassdoor were added today for the (%) of employees who would recommend this company to a friend and (%) of employees who approve of the CEO.The Software 500 list was used to preserve impartiality in the rankings. The original data set the analysis is based on is available for download here in Microsoft Excel format.
To gain greater insights into the data sets a series of cross-tabulations and correlation analyses were done using IBM SPSS Statistics Version 25. The analysis shows CEOs have an even greater impact on improving their company’s recommendation scores, rising to 82% this year from 70% in 2015. The analysis also showed that companies who flood Glassdoor with fake reviews hit a wall around 10 posts, down from 15 in 2015. This doesn’t stop some companies from offering cash, prizes, and merchandise to their employees in exchange for positive reviews. Relying on Glassdoor and ideally in-office visits to see how a company culture is and how your potential boss treats others is ideal.
The following are the highest rated software companies to work for in 2018, based the (%) of employees who would recommend the company to a friend:
The following companies scored between 80% and 89% on the rating % of employees who would recommend this company to a friend:
Please see the entire data set for the rankings of all companies included in the Software Magazine 500 here in Microsoft Excel format.
Bottom line: Enterprises are impatient to translate their investments in cloud apps and the insight they provide into business outcomes and solid results today.
The following insights are based on a series of discussions with C-level executives and revenue team leaders across several industries regarding their need for an Intelligent Cloud:
- In the enterprise, the cloud versus on-premise war is over, and the cloud has won. Nearly all are embracing a hybrid cloud strategy to break down the barriers that held them back from accomplishing more.
- None of the C-level executives I’ve spoken with recently are satisfied with just measuring cloud adoption. All are saying the want to measure business outcomes and gain greater insights into how they can better manage revenue and sales cycles.
- Gaining access to every available legacy and 3rd party system using hybrid cloud strategies is the new normal. Having data that provides enterprise-wide visibility gives enterprises greater control over every aspect of their selling and revenue management processes. And when that’s accomplished, the insights gained from the Intelligent Cloud can quickly be turned into results.
Welcome to the Era of the Intelligent Cloud
The more enterprises seek out insights to drive greater business outcomes, the more it becomes evident the era of the Intelligent Cloud has arrived. C-level execs are looking to scale beyond descriptive analytics that defines past performance patterns. What many are after is an entirely new level of insights that are prescriptive and cognitive. Getting greater insight that leads to more favorable business outcomes is what the Intelligent Cloud is all about. The following Intelligent Cloud Maturity Model summarizes the maturity levels of enterprises attempting to gain greater insights and drive more profitable business outcomes.
Why The Intelligent Cloud Now?
Line-of-business leaders across all industries want more from their cloud apps than they are getting today. They want the ability to gain greater insights with prescriptive and cognitive analytics. They’re also asking for new apps that give them the flexibility of changing selling behaviors quickly. In short, everyone wants to get to the orchestration layer of the maturity model, and many are stuck staring into a figurative rearview mirror, using just descriptive data to plan future strategies. The future of enterprise cloud computing is all about being able to deliver prescriptive and cognitive intelligence. One of the hottest companies to watch in real-time SAP and Salesforce integration is enosiX. Their customer wins show how the foundations of the Intelligent Cloud are being created by integrating legacy SAP ERP systems and Salesforce today.
Consider the following takeaways:
Who Is Delivering The Intelligent Cloud Today?
Just how far advanced the era of the Intelligent Cloud is became apparent during the Microsoft Build Developer Conference last week in San Francisco. A fascinating area discussed was Microsoft Cognitive Services and their implications on the Cortana Intelligence Suite. Microsoft is offering a test drive of Cognitive Services here. Combining Cognitive Services and the Cortana Intelligence Suite, Microsoft has created a framework for delivering the Intelligent Cloud. The graphic below shows the Cortana Analytics Suite.
Gartner announced their top 10 strategic technology trends for 2016 at the Gartner Symposium/ITxpo held October 4 – 8th in Orlando. David Cearley, Vice President and Gartner Fellow, presented the company’s Top Ten Strategic Technology Trends for 2016. You can find the video here.
Key take-aways from his presentation and the trends announced are provided below:
- Enterprise 3D-printing shipments will attain a 64.1% Compound Annual Growth Rate (CAGR) through 2019. David Cearley mentioned during his keynote that jet engines are being 3D printed today. He gave the example to illustrate that 3D printing will continue to gain adoption in more demanding manufacturing environments including aerospace, automotive, energy, medical devices and military-based markets and industries.
- Emergence of an entirely new class of business models based on smart machine technologies, advanced analytics and big data. Combining machine learning, continued adoption of Internet of Things (IoT) sensors and supporting data models, and advanced intelligence to interpret and act on the data, Gartner’s predictions set the stage of an entirely new class of business models. Manufacturing-as-a-Service and paying only for the production time used in a factory are within reach for more companies than before based on these predictions.
- The device mesh will expand to include IoT-based devices that scale well beyond the enterprise. Gartner is predicting that in the next three years traditional computing and communication devices, including desktop and mobile devices will increasingly be augmented by wearable devices, home electronics including appliances with sensors, transportation-based sensors and data collection devices, and environmental devices all capable of capturing data in real-time.
- A digital mesh will continue to proliferate, aligning apps and devices to individuals’ specific roles and tasks. Gartner sees this digital mesh as an expanding series of devices, services, platforms, informational networks and individuals that integrate together and provide contextual intelligence and enabling greater collaboration. The proliferation of the digital mesh will lead to more ambient, contextually intelligent and intuitive app design over time Gartner predicts.
- The next twelve months will also see the proliferation of algorithm-based businesses enabling automated background tasks including smart machines. Gartner’s technology trends for 2016 set a solid foundation for the growth of globally-based smart factories and production centers. Acumatica, Plex Systems and other Cloud ERP providers are ideally positioned for this trend, having proven their ability to provide manufacturing intelligence from the shop floor to the top floor. In addition to cloud platforms, these algorithm-based businesses will need to support unstructured data analysis including latent semantic indexing (LSI), data taxonomy and classification algorithms to ensure data fidelity and scalability, and more robust analytics and predictive modeling systems.
- Combining algorithms, analytics, data architectures and smart machines have the potential to revolutionize manufacturing quickly. General Electric’s Predix platform, IBM’s IoT Foundation and several other cloud-based IoT platforms are already making progress on transforming the vision of algorithm-based smart machine production strategies into a reality for manufacturers globally.
- Gartner sees a new IT reality taking shape. Adaptive security, advanced systems, Internet of Things (IoT), mesh app & service architectures are the catalysts of the new nature of IT that Gartner is predicting.
A graphic illustrating the top 10 strategic trends is show below:
Gartner Identifies the Top 10 Strategic Technology Trends for 2016. Press Release Announcement, October 6, 2015.
Video replay of the keynote: The Top 10 Strategic Technology Trends for 2016
From manufacturers looking to gain greater insights into streamlining production, reducing time-to-market and increasing product quality to financial services firms seeking to upsell clients, analytics is now essential for any business looking to stay competitive. Marketing is going through its own transformation, away from traditional tactics to analytics- and data-driven strategies that deliver measurable results.
The high level of interest and hype surrounding analytics, Big Data and business intelligence (BI) is leading to a proliferation of market projections and forecasts, each providing a different perspective of these markets.
Presented below is a roundup of recent forecasts and market estimates:
- The Advanced and Predictive Analytics (APA) software market is projected from grow from $2.2B in 2013 to $3.4B in 2018, attaining a 9.9% CAGR in the forecast period. The top 3 vendors in 2013 based on worldwide revenue were SAS ($768.3M, 35.4% market share), IBM ($370.3M, 17.1% market share) and Microsoft ($64.9M, 3% market share). IDC commented that simplified APA tools that provide less flexibility than standalone statistical models tools yet have more intuitive graphical user interfaces and easier-to-use features are fueling business analysts’ adoption. Source: http://www.idc.com/getdoc.jsp?containerId=249054
- A.T. Kearney forecasts global spending on Big Data hardware, software and services will grow at a CAGR of 30% through 2018, reaching a total market size of $114B. The average business expects to spend $8M on big data-related initiatives this year. Source: Beyond Big: The Analytically Powered Organization.
- Cloud-based Business Intelligence (BI) is projected to grow from $.75B in 2013 to $2.94B in 2018, attaining a CAGR of 31%. Redwood Capital’s recent Sector Report on Business Intelligence (free, no opt in) provides a thorough analysis of the current and future direction of BI. Redwood Capital segments the BI market into traditional, mobile, cloud and social business intelligence. The following two charts from the Sector Report on Business Intelligence illustrate how Redwood Capital sees the progression of the BI market through 2018.
- Enterprises getting the most value out of analytics and BI have leaders that concentrate more on collaboration, instilling confidence in their teams, and creating an active analytics community, while laggards focus on technology alone. A.T. Kearney and Carnegie Mellon University recently surveyed 430 companies around the world, representing a wide range of geographies and industries, for the inaugural Leadership Excellence in Analytic Practices (LEAP) study. You can find the study here. The following is a graphic from the study comparing the characteristics of leaders and laggards’ strategies for building a culture of analytics excellence.
- The worldwide market for Big Data related hardware, software and professional services is projected to reach $30B in 2014. Signals and System Telecom forecasts the market will attain a Compound Annual Growth Rate (CAGR) of 17% over the next 6 years. Signals and Systems Telecom’s report forecasts Big Data will be a $76B market by 2020. Source: http://www.researchandmarkets.com/research/s2t239/the_big_data
- Big Data is projected to be a $28.5B market in 2014, growing to $50.1B in 2015 according to Wikkbon. Their report, Big Data Vendor Revenue and Market Forecast 2013-2017 is outstanding in its accuracy and depth of analysis. The following is a graphic from the study, illustrating Wikibon’s Big Data market forecast broken down by market component through 2017.
- SAP, IBM, SAS, Microsoft, Oracle, Information Builders, MicroStrategy, and Actuate are market leaders in BI according to Forrester’s latest Wave analysis of BI platforms. Their report, The Forrester Wave™: Enterprise Business Intelligence Platforms, Q4 2013 (free PDF, no opt in, courtesy of SAS) provides a thorough analysis of 11 different BI software providers using the research firm’s 72-criteria evaluation methodology.
- Amazon Web Services, Cloudera, Hortonworks, IBM, MapR Technologies, Pivotal Software, and Teradata are Big Data Hadoop market leaders according to Forrester’s latest Wave analysis of Hadoop Solutions. Their report, The Forrester Wave™: Big Data Hadoop Solutions, Q1 2014 (free PDF, no opt in, courtesy of MapR Technologies) provides a thorough analysis of nine different Big Data Hadoop software providers using the research firm’s 32-criteria evaluation methodology.
- IDC forecasts the server market for high performance data analysis (HPDA) will grow at a 23.5% compound annual growth rate (CAGR) reaching $2.7B by 2018. In the same series of studies IDC forecasts the related storage market will expand to $1.6B also in 2018. HPDA is the term IDC created to describe the formative market for big data workloads using HPC. Source: http://www.idc.com/getdoc.jsp?containerId=prUS24938714
- Global Big Data technology and services revenue will grow from $14.26B in 2014 to $23.76B in 2016, attaining a compound annual growth rate of 18.55%. These figures and a complete market analysis are available in IDC’s Worldwide Big Data Technology and Services 2012 – 2016 Forecast. You can download the full report here (free, no opt-in): Worldwide Big Data Technology and Services 2012 – 2016 Forecast.
- Financial Services firms are projected to spend $6.4B in Big Data-related hardware, software and services in 2015, growing at a CAGR of 22% through 2020. Software and internet-related companies are projected to spend $2.8B in 2015, growing at a CAGR of 26% through 2020. These and other market forecasts and projections can be found in Bain & Company’s Insights Analysis, Big Data: The Organizational Challenge. An infographic of their research results are shown below.
Microsoft’s latest study shows enterprises’ pace of cloud computing adoption continues to accelerate. Nearly half of the respondents (45%) report they have cloud-based applications running in production environments. 58% report that they selectively target new applications and projects for cloud computing.
Microsoft commissioned 451 Research to complete one of the most comprehensive global surveys to date of hosting and cloud computing, titled Hosting and Cloud Go Mainstream releasing the results earlier this month. The 74 page slide deck of results provides a wealth of insights into the current and future state of hosting and cloud computing. 451 Research constructed the methodology to include interviews with 2,000 companies and organizations of all sizes from 11 countries, with more than a third of respondents coming from the United States. Microsoft and 451 Research provided the slides showing the result of screener questions, which provides a useful context for analyzing the survey results.
Here are the key take-aways from the study:
- 45% of enterprises globally are running production-level cloud computing applications today. North America and Asia have the greatest percentage of enterprises reporting broad implementation of production cloud-based applications (17% each). North America has the greatest percentage of enterprises in the discovery and evaluation phase of cloud computing adoption at 29%.
- 58% of global enterprises are selectively target new applications for cloud computing, with 18% heavily relying on cloud computing for new projects. The following graphic shows the distribution of organizations’’ approaches to using cloud computing for new applications or IT projects.
- SaaS (71%) and Hosted Infrastructure Services (69%) are the two most common IT services currently purchased today, with 14% growth forecasted in each by 2016. The fastest growing category is Platform-as-a-Service (PaaS), with 37% purchasing these services today projected to grow another 26% in two years.
- SaaS is most prevalent in enterprises with over 500 employees, and Hosted Infrastructure Services, in government and education. Please see the graphic below for the distribution of responses by IT service and organization type.
- Spending on hosted private clouds will increase from 28% of spending today to 32% in 2016, with traditional dedicated infrastructure services dropping from 48% to 42%.
- The majority of SaaS users are employees (45%) followed by businesses (which could be interpreted as suppliers and the broader supply chain) (22%), consumers (18%) and business partners (including distribution channels (14%).
- Telephone conversations with customer support specialists is the most valuable form of communication (just over 60%) across all support channels. It is also the most preferred channel for SaaS support.
- Business applications (17%), databases (14%) and e-mail 12%) are the top three application spending categories today in hosted and cloud applications. The following graphic breaks out spending by hosting and cloud configuration.
- Having a well-defined architecture for security (7.7 out of 8.0), understanding who the end-users are (7.6) and train users to be cautious with access & security (7.5) in addition to having a well-defined architecture for performance (7.5) are the three top best practices for cloud computing projects.
- 44% of enterprises globally have “shadow IT”, meaning business units are spending their own budget on cloud computing projects outside of the IT approval processes. The following graphic provides the breakdown by type of organization included in the survey.
- 87% of respondents globally would recommend cloud computing to a peer or colleague and 13% would not. When asked why or why not, respondents most often mentioned a good experience and better service/it works (approximately 17%), followed by improving costs/cost effective/cheaper (approximately 16%). Security issues and concerns (25%) and uncertainty/it’s too new (approximately 16%) are the reasons for not recommending cloud computing.