Google seeks enterprise nod with GCP services in IoT, security
The key differentiator for Google is [its] hardware is more comprehensive, but Microsoft has an enormous install base, and that’s a lot of leverage. — Ezra Gottheil, Principal Analyst
The key differentiator for Google is [its] hardware is more comprehensive, but Microsoft has an enormous install base, and that’s a lot of leverage. — Ezra Gottheil, Principal Analyst
Google’s Cloud IoT Edge hardware-software package for edge devices, announced on July 25, aims to be a comprehensive bundle for the edge ― for devices and for gateways. In this offering, Google leverages its two big assets in machine learning, TensorFlow software and the tensor processing unit (TPU) processor, to stake a position in edge hardware and software.
TBR believes the edge is the leading edge of Internet of Things (IoT) growth. There is competition for both edge hardware and edge software, but few vendors can offer both. There will be consolidation in hardware and software, and the companies left standing will have large and growing businesses and opportunities to expand. In the case of Google, as well as Microsoft and Amazon, capturing the edge helps drive the core cloud offering. By staking a big claim on the edge, Google is better positioned to compete with the other big clouds.
TensorFlow and the TPU processor are the keys to Google’s offering. TensorFlow is one of the most popular machine learning software libraries while the TPU processor is optimized for machine learning. Google claims advantages of the TPU over GPUs for machine learning tasks include lower power consumption and better performance on inference as well as learning tasks. These two benefits, power consumption and inference performance, are critical on the edge. Power consumption is important in edge devices, especially mobile and remote devices. Machine learning training is best suited to the cloud; edge devices need fast inference.
Google is targeting this offering to companies making IoT hardware, devices and gateways, ranging from narrowly specialized to broadly applicable, from custom-built to off the shelf. Companies producing off-the-shelf products are independent hardware vendors, and their offerings range from components for IoT solutions to end-to-end hardware and software solutions. Google’s Cloud IoT Edge is attractive to this market; it is a hardware-software solution with differentiating hardware and familiar software.
In the enterprise market for custom-built devices, Microsoft will often leverage its incumbency. However, there remain many market opportunities, especially in off-the-shelf smart devices with built-in machine learning. Video is a likely market for this technology, and Google will continue to make it easier and less expensive to build smart cameras.
Google’s Cloud IoT Edge is a well-conceived response to the challenge of the edge, and there is potential additional upside. The new Edge TPU is very small, and Google claims very low power consumption. Google will introduce tools and applications that leverage the processor to provide tangible benefits on smartphone, tablet and PC platforms. If successful, Google could own the IP to be a necessary component of edge computing.
As Alibaba Cloud continues to prove itself as a relevant public cloud PaaS and IaaS challenger, Technology Business Research, Inc. (TBR) is launching a new report focused on the vendor to provide subscribers with ongoing insights into the business’ performance. As Alibaba’s cloud business progressively moves beyond the company’s traditional China and Southeast Asia presence to compete more directly with the leading public cloud PaaS and IaaS vendors TBR covers regularly, it has become relevant to include Alibaba Cloud in our vendor coverage.
Alibaba has proved its public cloud legitimacy by capitalizing on the highly restrictive cloud services market in China. With more than one-third of the top 500 Chinese companies as customers and two-thirds of China-based unicorn startups running on Alibaba Cloud services, the business has demonstrated that it has a broad appeal as it looks to translate local success to new geographies. Although Alibaba Cloud has successfully expanded from China to the broader Asia market, its transformation to a truly global provider faces greater barriers.
Western vendors dominate global public cloud mindshare and are adapting their strategies to specific geographic needs to rapidly expand their own international presence. As such, Alibaba Cloud has begun to innovate around regional needs and high-value artificial intelligence and Internet of Things cloud services to drive higher-margin and more differentiated workloads to its platform.
Alibaba aims to challenge more globally dominant public cloud vendors, such as Amazon Web Services (AWS), Microsoft Azure, IBM Cloud and Google Cloud, to cement its position among these leaders. In October 2017 Alibaba Cloud President Simon Hu claimed that the business was “on track” to overtake AWS as the global leader in cloud by 2019.
This is undoubtedly an exaggeration, as Alibaba’s cloud business only generated 8% the volume of revenue that still-growing AWS generated in 2017, but the statement affirms Alibaba’s commitment to scaling its cloud business. TBR estimates that Alibaba Cloud will not overtake AWS, but as shown in Figure 1, that it will grow fast enough to close the gap between itself and AWS and Microsoft. Amid global growth efforts, Alibaba’s dominance of the Chinese cloud market will remain a key driver of its overall performance.
One of the most important governing factors in the adoption of Internet of Things (IoT) is the maturity of the companies considering, buying and implementing IoT. Vendors can improve their go-to-market (GTM) tactics by varying their approach to potential customers with different degrees of maturity. Assessment of maturity helps in predicting and targeting growth opportunities in vertical and geographic market segments.
A mature process for a single IoT solution is easy to describe but challenging to carry out. A team including members with business knowledge, operations technology knowledge and IT knowledge works together through the process of problem selection, solution design, solution implementation, and ongoing solution operation and refinement. As most IoT implementations present opportunities for enhancement and further integration, the team continues to work together indefinitely.
For an organization to be mature in IoT, it must be able to sustain multiple projects, at different phases in different parts of the organization and at varying levels of scale. The projects must be compliant with company and regulatory policies, secure and, ideally, scalable and efficient, leveraging to the extent possible organizational resources and standard practices. The data generated by the IoT projects must be secure, but it must also be visible and available to others in the organization who could benefit.
Additionally, the mature IoT organization keeps the process of continual distributed innovation going, with employees throughout the organization actively looking for opportunities to improve operations using IoT, as well as other innovative technologies. While encouraging broad innovation, the organization manages, prioritizes, allocates resources for and socializes the projects.
The organization described above is an ideal, but comparing an organization with this standard helps us know at what level a business is operating in IoT. This ideal process applies not only to IoT but also to all projects leveraging new technologies.
For vendors, IoT maturity can help with identifying potential customers and approaching prospects. With mature customers coordinating multiple IoT projects, there is the opportunity to be included in the company’s portfolio of vetted preferred vendors or products. With a less mature customer, the best outcome is engagement in a single IoT project. These two different scenarios demand different messaging, sales tactics and, sometimes, offerings.
In a growing market — and IoT will be growing for a very long time — the trailing edge is always much larger than the leading edge. Even as the average level of maturity increases, most target customers will be on the less-mature end of the spectrum. Vendors and offerings that fit the needs of the target market, including simplicity, extensive support and membership in robust partnerships, will have an advantage. Offerings that help develop the customer, moving them up the maturity ladder, will also have an advantage.
IoT maturation isn’t about the technology of IoT; it’s about businesses developing their capability to leverage technologies and techniques that are increasingly applicable to an increasing number of business problems. The same maturation encompasses things like analytics and artificial intelligence, blockchain, edge computing, and mobile computing. Looking at customers and prospects in terms of maturity in leveraging technology helps in selling and delivering technology products that drive businesses forward.
General Dynamics will use healthy top-line growth to champion the early success of the CSRA acquisition, but we see cause for concern as valuable leaders from CSRA depart GDIT due to potential misalignment of the two companies’ distinct cultures and business philosophies. — Joey Cresta, Analyst
Vertical and subvertical market segmentation is more important in IoT than in other types of technology products and services because IoT is diverse. Most vendors are trying to tame the breadth of the IoT market by prioritizing specific verticals. TBR believes the IoT market is beginning to stabilize if not mature, and this is a good time to focus on vertical markets and use cases within those markets. Not only will this help our clients allocate their
resources, but we also believe an analysis by vertical gives us insight into the current and future maturation of the IoT marketplace. — Ezra Gottheil, Principal Analyst
HAMPTON, N.H. — According to Technology Business Research, Inc.’s (TBR) latest NFV/SDN Telecom Market Forecast, covering 2017 to 2022, mainstream adoption of NFV/SDN is now set for the early 2020s due to operators encountering challenges with migration.
“Despite challenges, operators will push forward with NFV/SDN and will scale their investments in these technologies,” said TBR Telecom Senior Analyst Chris Antlitz. “Operators must transform to stay relevant and competitive in the digital era, and NFV/SDN is a critical component of that transformation.”
During the forecast period, 5G will also serve as an underlying catalyst for increased NFV/SDN spend. 5G will push operators to adopt a new network architecture, and virtualization will be a critical aspect of networks.
TBR’s annual NFV/SDN Telecom Market Forecast projects spend on NFV, SDN and related services across key segments globally and by region.
Additional research on the NFV and SDN markets can be found in TBR’s NFV/SDN Telecom Market Landscape and Telecom Software Mediated Networks (NFV/SDN) Customer Adoption Study, which cover the operator and vendor landscapes and operator purchasing decisions regarding NFV and SDN, respectively.
Tying into a recent IBM Institute for Business Value thought leadership booklet entitled, “Incumbents Strike Back,” IBM (NYSE: IBM) has invested considerable time and effort into reminding analysts of the dominant install base IBM mainframes enjoy in large enterprises, where they transact 68% of the world’s economic activity. IBM categorizes its existing customers into three camps: those that have yet to embark on an IT modernization initiative, those that went for wholesale rip and replace at great economic cost, and those that seek to modernize ― or refinance ― their existing investment in legacy mainframe assets to prepare them for the digital business era as outlined by TBR in its recent special report The Business of One.
Wholesale rip-and-replace initiatives come at a great upfront expense that is difficult, IBM asserted, for corporate boards to justify from an ROI perspective. Rather than retire that technical debt, large enterprises seeking to migrate to digital business streams are finding a more prudent alternative to be refinancing the technical debt through application modernization. IBM hinges future mainframe revenue growth and ongoing relevance on this point, netting out the IBM Z value proposition as bringing pervasive encryption, analytics infusion across the business stack, and simple and secure connections into multiple cloud environments.
HAMPTON, N.H. — In many ways, digital transformation equates to rising cloud adoption. Enterprises need the increased agility and flexibility that a cloud environment provides but also want the cost structure associated with cloud. However, new regulations on data sovereignty continue to emerge and security concerns are mounting as data becomes an increasingly valuable asset, creating challenges for enterprises seeking cloud environments. Hardware vendors that initially lost business to cloud providers revel in this shift, as clear markets for both public and private cloud enable infrastructure and services vendors to co-exist.
Despite the need for greater control and security of data, enterprises still demand the agility and flexibility afforded by cloud environments and are increasingly demanding opex-based consumption models. Insights from TBR’s recently published 1H18 Hyperconverged Platforms Customer Research report further detail these trends and the impact they will likely have on the data center infrastructure and cloud markets.
Many customers purchasing HCI are doing so for cloud environments
More than 90% of hyperconverged infrastructure (HCI) customers surveyed in TBR’s 1H18 Hyperconverged Platforms Customer Research are leveraging or will leverage HCI for cloud installments: 54% are leveraging HCI for hybrid cloud, 30% are leveraging HCI for private cloud, and 8% are not currently leveraging HCI for cloud but intend to do so in the future. HCI is well-suited for the cloud as it is highly software-enabled, making spinning it into a private cloud relatively seamless compared to traditional infrastructure environments. Further, HCI sales tend to be more supported with services than legacy infrastructure sales, enabling customers to experience a more collaborative sale. Findings from 1H18 Hyperconverged Platforms Customer Research indicate 59% of respondents purchased their HCI solution direct from the vendor, while 62% of respondents received or requested additional hardware services, such as firmware and break-fix, with their HCI purchase.
HCI is a lucrative opportunity for vendors as it combines hardware, software and services into a single sale, increasing margins for hardware vendors and enabling vendors to leverage strategic marketing to sell across their entire portfolio stack rather than one-off piecemeal hardware sales. Further, many HCI vendors successfully bundle additional non-HCI sales on top of HCI purchases, as a customer already strongly considering a given vendor’s HCI architecture is likely to consider other solutions in the portfolio. Respondents in the 1H18 Hyperconverged Platforms Customer Research indicated they frequently make additional hardware purchases with HCI sales. However, these additional hardware sales were not necessarily associated with the HCI appliance, with customers purchasing additional hardware for their data centers in many cases. This suggests a broad portfolio is paramount to enterprise success as IT shops look to reduce the number of suppliers they manage while seeking hardware components to maintain existing infrastructure requirements of legacy workloads and building out new environments for native cloud workloads. This will prove advantageous for multiline vendors in the space such as Lenovo, Dell EMC and Hewlett Packard Enterprise (HPE) but will challenge niche vendors such as NetApp and Pivot3.
The rise in consumption-based pricing makes HCI more desirable for cloud installments
Of 1H18 Hyperconverged Platforms Customer Research respondents, 81% are considering consumption-based pricing models for future HCI purchases. The reasons for considering consumption-based pricing vary, with less than one-third of respondents doing so for the shift to an opex model alone, indicating that purchasing decisions are more complex than simply to shift expense structures. However, customers are still intrigued by these new pricing options.
The more interest increases for consumption-based HCI purchases, the greater challenges public cloud vendors will face from infrastructure vendors. Dell EMC and HPE both have a strong presence in the consumption-based pricing space, and there are other infrastructure vendors playing in this space less vocally. Competing will be a challenge for public cloud providers as infrastructure vendors message increased security and control without cost increases to battle public cloud options.
There will always be a place for both public and private cloud in the data center market
Although competition will continue to heat up between public cloud and private cloud vendors as evolving market dynamics alter messaging, the need for both installments in the digitizing world will remain. However, as economics become more favorable on the private cloud side, partly due to HCI and consumption-based pricing, customers may consider private cloud options for workloads they previously would have considered a public cloud environment.
For additional information about this research or to arrange a one-on-one analyst briefing, please contact Dan Demers at +1 603.929.1166 or [email protected].
HAMPTON, N.H. — The efficiency gains offered by 5G are spurring operators to accelerate their deployment timeframes, according to TBR’s 3Q18 5G Telecom Market Landscape.
“5G is up to 10 times more efficient on a cost-per-gigabyte basis compared to LTE,” said TBR Telecom Senior Analyst Chris Antlitz. “This is the driving force behind most operator commitments to deploy the technology thus far. With data traffic continuing to scale globally, operators will need to invest in new technologies, such as 5G, that can help them more cost-effectively support that traffic while providing an overall better quality of experience for their customers.”
TBR estimates over 85% of 5G capex spend through 2020 will be driven by operators in four countries: the U.S., China, Japan and South Korea. Most Tier 1 operators in these countries have aggressive 5G rollout timetables and intend to leverage the technology for fixed wireless broadband and/or to support their mobile broadband densification initiatives. The seamless software upgradability of new RAN platforms to 5G will facilitate deployment at incremental cost, keeping overall spend scaling quickly but at a relatively low level compared to prior RAN generation upgrades.
TBR’s 5G Telecom Market Landscape tracks the 5G-related initiatives of leading operators and vendors worldwide. The report provides a comprehensive overview of the global 5G ecosystem and includes insights pertaining to market development, market sizing, use cases, adoption, regional trends, and operator and vendor positioning and strategies.
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