- Enabling real-time integration across on-premise and cloud platforms often involves integrating SAP, Salesforce, third-party and legacy systems. 2017 will be a break-out year for real-time integration between SAP, Salesforce, and third party systems in support of Internet of Things and Industrial Analytics.
- McKinsey Global Institute predicts that the Internet of Things (IoT) will generate up to $11T in value to the global economy by 2025.
- Predictive and prescriptive maintenance of machines (79%), customer/marketing related analytics (77%) and analysis of product usage in the field (76%) are the top three applications of Industrial Analytics in the next 1 to 3 years.
Real-Time Integration Is the Cornerstone Of Industrial Analytics
Industrial Analytics (IA) describes the collection, analysis and usage of data generated in industrial operations and throughout the entire product lifecycle, applicable to any company that is manufacturing and selling physical products. It involves traditional methods of data capture and statistical modeling. Enabling legacy, third-party and Salesforce, SAP integration is one of the most foundational technologies that Industrial Analytics relies on today and will in the future. Real-time integration is essential for enabling connectivity between Internet of Things (IoT) devices, in addition to enabling improved methods for analyzing and interpreting data. One of the most innovative companies in this area is enosiX, a leading global provider of Salesforce and SAP integration applications and solutions. They’re an interesting startup to watch and have successfully deployed their integration solutions at Bunn, Techtronic Industries, YETI Coolers and other leading companies globally.
A study has recently been published that highlights just how foundational integration will be to Industrial Analytics and IoT. You can download the Industrial Analytics Report 2016/17 report here (58 pp., PDF, free, opt-in). This study was initiated and governed by the Digital Analytics Association e.V. Germany (DAAG), which runs a professional working group on the topic of Industrial Analytics. Research firm IoT Analytics GmbH was selected to conduct the study. Interviews with 151 analytics professionals and decision-makers in industrial companies were completed as part of the study. Hewlett-Packard Enterprise, data science service companies Comma Soft and Kiana Systems sponsored the research. All research and analysis related steps required for the study including interviewing respondents, data gathering, data analysis and interpretation, were conducted by IoT Analytics GmbH. Please see page 52 of the study for the methodology.
- With real-time integration, organizations will be able to Increase revenue (33.1%), increase customer satisfaction (22.1%) and increase product quality (11%) using Industrial Analytics. The majority of industrial organizations see Industrial Analytics as a catalyst for future revenue growth, not primarily as a means of cost reduction. Upgrading existing products, changing the business model of existing products, and creating new business models are three typical approaches companies are taking to generate revenue from Industrial Analytics. Integration is the fuel that will drive Industrial Analytics in 2017 and beyond.
- For many manufacturers, the more pervasive their real-time SAP integration is, the more effective their IoT and Industrial Analytics strategies will be. Manufacturers adopting this approach to integration and enabling Industrial Analytics through their operations will be able to attain predictive and prescriptive maintenance of their product machines (79%). This area of preventative maintenance is the most important application of Industrial Analytics in the next 1 – 3 years. Customer/marketing-related analytics (77%) and analysis of product usage in the field (76%) are the second- and third-most important. The following graphic provides an overview of the 13 most important applications of Industrial Analytics.
- 68% of decision-makers have a company-wide data analytics strategy, 46% have a dedicated organizational unit and only 30% have completed actual projects, further underscoring the enabling role of integration in their analytics and IoT strategies. The study found that out of the remaining 70% of industrial organizations, the majority of firms have ongoing projects in the prototyping phase.
- Business Intelligence (BI) tools, Predictive Analytics tools and Advanced Analytics Platforms will be pivotal to enabling industrial data analysis in the next five years. Business Intelligence Tools such as SAP Business Objects will increase in importance to industrial manufacturing leaders from 39% to 77% in the next five years. Predictive Analytics tools such as HPE Haven Predictive Analytics will increase from 32% to 69%. The role of spreadsheets used for industrial data analytics is expected to decline (i.e., 27% think it is important in 5 years vs. 54% today).
- The Industrial Analytics technology stack is designed to scale based on the integration of legacy systems, industrial automation apps and systems, MES and SCADA systems integration combined with sensor-based data. IoT Analytics GmbH defines the technology stack based on four components inclouding data sources, necessary infrastructure, analytics tools, and applications. The following graphic illustrates the technology stack and underscores how essential integration is to the vision of Industrial Analytics being realized.
- Industrial Internet of Things (IIoT) and Industry 4.0 will rely on real-time integration to enable an era of shop-floor smart sensors that can make autonomous decisions and trade-offs regarding manufacturing execution. IoT Analytics GmbH predicts this will lead to smart processes and smart products that communicate within production environments and learn from their decisions, improving performance over time. The study suggests that Manufacturing Execution System (MES) agents will be vertically integrated into higher level enterprise planning and product change management processes so that these organizations can synchronously orchestrate the flow of data, rather than go through each layer individually.
- Organizations are using multiple cloud models to meet their business’s needs, including private (62%), public (60%), and hybrid (26%).
- By 2018 the typical IT department will have the minority of their apps and platforms (40%) residing in on-premise systems.
These and many other insights are from IDG’s Enterprise Cloud Computing Survey, 2016. You can find the 2016 Cloud Computing Executive Summary here and a presentation of the results here. The study’s methodology is based on interviews with respondents who are reporting they are involved with cloud planning and management across their organizations. The sampling frame includes audiences across six IDG Enterprise brands (CIO, Computerworld, CSO, InfoWorld, ITworld and Network World) representing IT and security decision-makers across eight industries. The survey was fielded online with the objective of understanding organizational adoption, use-cases, and solution needs for cloud computing. A total of 925 respondents were interviewed to complete the study.
Key takeaways include the following:
- The cloud is the new normal for enterprise apps, with 70% of all organizations having at least one app in the cloud today. 75% of enterprises with greater than 1,000 employees have at least one app or platform running in the cloud today, leading all categories of adoption measured in the survey. 90% of all organizations today either have apps running in the cloud are planning to use cloud apps in the next 12 months, or within 1 to 3 years. The cloud has won the enterprise and will continue to see the variety and breadth of apps adopted accelerating in 2017 and beyond.
- Business/data analytics and data storage/data management (both 43%) are projected to lead cloud adoption in 2017 and beyond. 22% of organizations surveyed are predicting that business/data analytics will be the leading cloud application area they will migrate to in the next twelve months. 21% are predicting data storage/data management apps are a high priority area for their organizations’ cloud migration plans in 2017. Three of the market leaders in analytics are Tableau, QlikView and Microsoft Power BI. They are analyzed in this recent post from SelectHub, accessible here.
- 28% of organizations’ total IT budgets is dedicated to cloud computing next year. Of that, 45% is allocated to SaaS, 30% to IaaS and 19% to PaaS. The average investment organizations will make in cloud computing next year is $1.62M, with enterprises over 1,000 employees projected to spend $3.03M. The average investment in cloud computing remains constant in organizations with $1.62M invested in 2014, $1.56M in 2015 and $1.62M in 2016. 10% of enterprises with over 1,000 employees are projecting they will spend $10M or more on cloud computing apps and platforms throughout this year.
- CIOs, IT architects and IT networking/management control cloud spending in the enterprise. In contrast, CEOs, CIOs, and CFOs are driving small and medium business (SMB) cloud spending this year. The following graphic compares how influential the following groups and individuals are in the cloud computing purchase process.
- Just 46% of organizations are using Application Programmer Interfaces (APIs) to integrate with databases, messaging systems, portals or storage components. 40% are using them for creating connections to the application layer of their cloud and the underlying IT infrastructures. The following graphic provides insights into how APIs are being used and which teams see the most value in them.
- In 18 months the majority of organizations’ IT infrastructures will be entirely cloud-based. IDG found that in 18 months nearly one-third (28%) of all organizations interviewed will be relying on private clouds as part of their IT infrastructure. Just over a fifth (22%) will have public cloud as part of their IT infrastructure, and 10% will be using hybrid By 2018 the typical IT department will have the minority of their apps and platforms (40%) residing in on-premise systems.
- Concerns about where data is stored (43%), cloud security (41%) and vendor lock-in (21%) are the top three challenges organizations face when adopting public cloud technologies. Private and hybrid cloud adoption in organizations is also facing the challenges of cloud security and vendor lock-in. Private and hybrid cloud adoption are being slowed by a lack of the right skill sets to manage and gain the maximum value from cloud investments.
Bottom line: Defining salesforce integration strategies from the customers’ perspective that streamline every aspect of their relationship with your company drives greater revenue, earns trust and creates upsell and cross-sell opportunities in the future.
In the most competitive selling situations the company that has exceptional insights into what matters most to prospects and customers win the most deals. It’s not enough to just have a CRM system that is hard-wired into the core customer-facing processes of a business. To win more sales cycles companies are getting the most from every system they have available. From SAP Enterprise Resource Planning (ERP) systems to legacy pricing, operations, services, pricing, and CRM systems, companies winning more deals today can use Salesforce integration as a catalyst for driving more revenue.
Five Strategies For Improving Customer Relationships Using Salesforce Integration
- Making the Configure-Price-Quote (CPQ) process more efficient for customers and prospects by integrating ERP data into every quote. Today speed is a feature every system must have to stay competitive. Being able to create quotes that include the date the proposed configuration will ship and coordinate with services and programs delivery while providing order status from ERP systems is winning deals today. The tighter the ERP system integration, the better the quote accuracy in a CPQ system and the higher the chance of winning a sale. The following table shows the many benefits of having a well-integrated CPQ process.
- Creating an omni-channel experience for customers needs to start with ERP, legacy, 3rd party and Salesforce integration that sets the foundation to exceed customer experiences daily. Providing a unified experience across every channel is challenging yet attainable, with market leaders using a series of integration strategies to provide this level of insight so customers’ expectations are exceeded in every single interaction. Only by integrating CRM systems including Salesforce with SAP ERP systems can any company hope to deliver a consistent, excellent series of experiences across all channels, all the time.
- Set up sales teams for exceptional performance with tightly integrated mobile apps that accelerate sales cycles. By using mobile apps that integrate SAP ERP systems, Salesforce CRM, and legacy systems into simplified, highly efficient workflows, sales teams can close more deals without having to come back to their offices. Senior management teams can get more done using mobile apps that are an extension of their SAP ERP systems as well. Mobile apps are revolutionizing productivity thanks to SAP and Salesforce integration.
- Attaining high product quality levels that exceed customer expectations by providing every manufacturing department real-time visibility into quality inspections and inventory control. By integrating inbound inspection, inventory control, and quality management data across manufacturing, Bunn can deliver products that exceed customer expectations. Bunn’s product quality inspectors can perform and record results right at the machines being tested. The warehouse management system can scan and record inventory counts in real time to SAP. Maintaining high levels of product quality are what make Bunn’s beverage equipment machines a market standard globally today.
- Making new product launches more successful by having a tightly integrated approach to selling, producing and servicing new products that are in step with customers’ changing needs. From apparel to high-tech and financial services, customers are rapidly redefining which channels they choose to purchase through, how they choose to customize products, and which services they prefer to bundle in. Integrating Salesforce, e-commerce and ERP systems into a single, unified workflow that is designed to provide customers exactly what they need is essential for enabling new product launches to succeed. With an integrated system across Salesforce, ERP, distribution and pricing systems, new product launches can scale globally quicker and still allow for personalization to customers’ unique preferences. Salesforce integration is essential for successful new product introductions as the entire launch process gains speed, scale, and simplicity as a result.
Originally published on the enosiX blog, Five Strategies For Improving Customer Relationships Using Salesforce Integration.
- During the 2Q16 call, Google called out Cloud as the primary driver of the re-accelerating growth for Licensing and Other revenue, the first time the business has been called out in pole position.
- Recent Orbitera and Apigee acquisitions underscore Google’s new focus and aggressiveness to grow GCP. Google has spent $1B+ on Cloud M&A over the past 12 months.
- Deutsche Bank predicts GCP is preparing a series of new product announcements in September to strengthen their customer-facing roadmap further.
These and other insights are from Deutsche Bank Markets Research study, Google Getting More Aggressive In The Cloud, (client access) published 8 September 2016 by Ross Sandler Karl Keirstead, Deepak Mathivanan, Aki Aggarwal and Taylor McGinnis. Deutsche Bank found that Google is investing heavier in the cloud, making a financial commitment with over $1B in acquisitions in the past year including the recent Apigee deal. The study is based on interviews Deutsche Bank contacted with channel partners, prospects, partners, and customers. Despite the renewed focus on growth, Deutsche Bank predicts that GCP would continue to trail AWS and Microsoft Azure for the foreseeable future.
Key takeaways of the Deutsche Bank Markets Research survey include the following:
- Deutsche Bank defines the Total Available Market (TAM) enterprise IT spend in nine categories that together account for over a $1T TAM. Deutsche Bank defines the Enterprise IT spending market by combining storage, network equipment, infrastructure software, IT outsourcing and support, data management software, BI/analytics, application software and consulting Deutsche Bank sees AWS make significant progress across a wide spectrum of their taxonomy categories.
- GCP new product launches are concentrating on machine learning, data analytics and security, including data encryption and identity and access management. Google’s aggressiveness regarding the cloud is most visible from their new service announcements shown in the table below. Recent announcements include SQL Server Images, where customers can now natively spin up Microsoft database instances on GCP, akin to AWS RDS for SQL Server. GCP also announced a second generation version of Cloud SQL, its cloud-hosted alternative to MySQL and AWS Aurora. While all of these announcements provide GCP with greater potential to compete against AWS and Microsoft Azure, Google’s two larger competitors have formidable momentum in enterprises.
- Aggressive build-out of global infrastructure locations continues. Google announced during their 4Q15 earnings call they would build 12 new regions in 2016 and 2017. Of the 12 new planned GCP regions, the US Western region in Oregon opened in July 2016, and Google has said that the new Tokyo region will be available later this year, leaving ten more regions to be added in 2017.
- Google continues to believe in the importance of machine learning and artificial intelligence. Deutsche Bank interviews with GCP customers confirmed interest in using machine learning and artificial intelligence on the Cloud. Customers also perceive GCP is well ahead of AWS and Azure in this regard.
- Google is quickly hiring enterprise sales reps in an attempt to close the sales gap between themselves and AWS & Microsoft Azure. Deutsche Bank found that Google has been “hiring very aggressively” to scale its enterprise sales rep capacity and also retrofitting existing sales reps from elsewhere in Google into GCP.
- GCP is gaining share rapidly within the startup community. Deutsche Bank spoke with customers who estimated that 25% startups are using GCP today (with 75% on AWS), while another estimated the ratio to be 20%/80%. While both agreed that a couple of years ago only 10% of startups were using GCP (with 90% using AWS). During the GCP NEXT Asia-Pacific keynote earlier this month Google disclosed that Snapchat “is one of our largest customers,” making up to 2 million queries per second and consuming more Google bandwidth than any other organization except for YouTube.
- Recent Orbitera and Apigee acquisitions underscore Google’s new focus and aggressiveness to grow GCP. Last month Google acquired Orbitera, a small cloud commerce platform. Orbitera simplifies the buying and selling of cloud-based software by providing vendors with packaging and provisioning, billing, and marketplace solutions on AWS and Azure. Earlier this month Google acquired Apigee for $625M, which is 5.2x Apigee’s FY17e revenues of $120M. Apigee is expected to grow by 30%-35% in The company focuses on larger enterprises (Walgreens, Nike, Target, AT&T) and despite an ongoing mix shift to the cloud or SaaS model, it still has a legacy on-premise license/maintenance business.
- Google is very focused on building relationships with all systems integration (SI) firms but that building out a GCP channel is proving to be challenging. Deutsche Bank believes that Microsoft is also finding it tough to build out it’s Azure channel, in part because many traditional partners and resellers struggle with how they can monetize Azure, given its different price points and the lower services attach rate
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.
- 73% of midmarket companies say the complexity of their stored data requires big data analytics apps and tools to better gain insights from.
- 54% of midmarket companies’ security budgets are invested in security plans versus reacting to threats.
These and many other insights are from Dell’s second annual Global Technology Adoption Index (GTAI 2015) released last week in collaboration with TNS Research. The Global Technology Adoption Index surveyed IT and business decision makers of mid-market organizations across 11 countries, interviewing 2,900 IT and business decision makers representing businesses with 100 to 4,999 employees.
The purpose of the index is to understand how business users perceive, plan for and utilize four key technologies: cloud, mobility, security and big data. Dell released the first wave of its results this week and will be publishing several additional chapters throughout 2016. You can download Chapter 1 of the study here (PDF, no opt-in, 18 pp.).
Key take-aways from the study include the following:
- Orchestrating big data, cloud and mobility strategies leads to 53% greater growth than peers not adopting these technologies. Midmarket organizations adopting big data alone have the potential to grow 50% more than comparable organizations. Effective use of Bring Your Own Device (BYOD) mobility strategies has the potential to increase growth by 53% over laggards or late adopters..
- 73% of North American organizations believe the volume and complexity of their data requires big data analytics apps and tools. This is up from 54% in 2014, indicating midmarket organizations are concentrating on how to get more value from the massive data stores many have accumulated. This same group of organizations believe they are getting more value out of big data this year (69%) compared to last year (64%). Top outcomes of using big data include better targeting of marketing efforts (41%), optimization of ad spending (37%), and optimization of social media marketing (37%).
- 54% of an organization’s security budget is invested in security plans versus reacting to threats. Dell & TNS Research discovered that midmarket organizations both in North America and Western Europe are relying on security to enable new devices or drive competitive advantage. In North America, taking a more strategic approach to security has increased from 25% in 2014 to 35% today. In Western Europe, the percentage of companies taking a more strategic view of security has increased from 26% in 2014 to 30% this year.
- IT infrastructure costs to support big data initiatives (29%) and costs related to securing the data (28%) are the two greatest barriers to big data adoption. For cloud adoption, costs and security are the two biggest barriers in midmarket organizations as is shown in the graphic below.
- Cloud use by midmarket companies in France increased 12% in the last twelve months, leading all nations in the survey. Of the 11 countries surveyed, France had the greatest increase in cloud adoption within midmarket companies. French businesses increased their adoption of cloud applications and platforms from 70% in 2014 to 82% in 2015.
Sources: Dell Study Reveals Companies Investing in Cloud, Mobility, Security and Big Data Are Growing More Than 50 Percent Faster Than Laggards. October 13, 2015
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
These and other insights are from recent cloud computing forecasts and market estimates published by research and advisory consultancies including International Data Corporation (IDC), Forrester, Gartner, Ovum, Wikibon and others.
While the methodologies differ significantly, the findings from a recent Economist Intelligence Unit study provide the galvanizing thread across this diverse set of data. The Economist found that the most mature enterprises are now turning to cloud strategies as a strategic platform for growing customer demand and expanding sales channels. The study found low-maturity or lagging cloud adopters focus on costs more than growth.
Key take-aways from the round-up are provided below:
- 57% of IT architects and tech professionals are running apps on the Amazon Web Services (AWS) platform today. Rightscale’s 2015 State of the Cloud Report found that AWS adoption is over 4X greater than Microsoft Azure IaaS and 5X that of Rackspace Public Cloud. Rightscale found that AWS, Microsoft Azure IaaS, Azure PaaS, Rackspace Public Cloud and VMWare vCloud Air are the top five public cloud platforms used in enterprises today. Source: RightScale 2015 State Of The Cloud Report
- Goldman Sachs is forecasting the cloud infrastructure and platform market will grow at a 19.62% CAGR from 2015 to 2018, reaching $43B by 2018. Their recent market analysis also forecasts that the global market for cloud infrastructure and platforms will grow from $21B this year to $43B by the end of the forecast period. Source: How Big Can The Amazon Web Services Business Grow In The Future?
- 46% of surveyed firms in the European Union (EU) are using advanced cloud services relating to financial and accounting software applications, customer relationship management or to the use of computing power to run business applications. In 2014, almost twice as many firms used public cloud servers (12%) versus private cloud servers (7%). The following graphic illustrates the degree of dependence on cloud computing, by economic activity, EU-28, 2014. Source: Eurostat Statistics Explained. Cloud computing – statistics on the use by enterprises.
- 64% of Small & Medium Businesses (SMBs) are already using cloud-based apps, with average adoption being 3 apps. 78% of businesses indicate that they are considering purchasing new solutions in the next 2-3 years creating the potential to move the average number of applications used to 7, with 88% consuming at least one service. Source: The small business revolution: trends in SMB cloud adoption.
- Worldwide spending on enterprise application software will grow 7.5% to reach $149.9B in 2015, increasing to more than $201B in 2019 with accelerating cloud adoption driving new software sales. Gartner’s analysis of enterprise software spending shows that alternative consumption models to traditional on-premises licenses are accounting for more than 50% of new software implementations; these include SaaS, hosted license, on-premises subscriptions and open source. Gartner also predicts that by 2020, about a quarter of organizations in emerging regions will run their core CRM systems in the cloud, up from around 10 percent in 2012. Source: Gartner Says Modernization and Digital Transformation Projects Are Behind Growth in Enterprise Application Software Market.
- 2015 Top Markets Report Cloud Computing A Market Assessment Tool for U.S. Exporters U.S. Department of Commerce | International Trade Administration | Industry & Analysis (I&A) July 2015
- Cloud Computing: Principles and Paradigms. (PDF, free, no opt-in, 674 pp.)
- Forrester Research – Adoption Profile: Hosted Private Cloud, North America And Europe, Q3 2014
- Global Cloud IT Infrastructure Market Rose 25 Percent in Q1: IDC
- 451 Research & Microsoft Hosting and Cloud Study 2015 – Beyond Infrastructure: Cloud 2.0 Signifies New Opportunities for Cloud Service Providers Survey Results. (free, no opt-in, 66 pp.)
- IDC Report, Worldwide Cloud Systems Management Software Market Shares, 2014: Year of Hybrid Cloud (free, no opt-in).
- Montclare SaaS 250
- Oracle Industry Analyst Relations Reports
- U.S. technology hubs (Silicon Valley/San Francisco, New York, Boston, Los Angeles & Chicago), Israel and Canada dominate while confidence continues to fall in Brazil and other emerging markets.
These and other insights are from Deloitte’s 2015 Global Venture Capital Confidence Survey. You can download a copy here (PDF, no opt-in, 70 pp.). Deloitte has also produced and made available infographics of the key findings here (PDF, no opt-in, 4 pp.). Deloitte & Touche LLP and the National Venture Capital Association (NVCA) collaborated on the eleventh annual survey, which was conducted in May & June of this year. The study assesses investor confidence in the global venture capital environment, market factors shaping industries and investments on specific geographies and industry sectors. Please see page 4 of the study for a description of the methodology.
Key take-aways include the following:
- Global venture capital investors are most confident in cloud computing (4.18). Investors were asked to rate their confidence level in each sector. Confidence levels were measured on a scale of 1 to 5, with 5 representing the most confidence. Basis points indicate year-over-year changes. Mobile (4.05), Internet of Things (3.95) and enterprise software (3.82) are the top four sectors venture capitalists are the most confident in today. Biopharmaceuticals are experiencing the greatest increase in venture capital confidence today. Please the the graphic below for additional details.
- The United States (4.17), Israel (3.90) and Canada (3.60) dominate venture capital investors’ confidence while emerging markets including Brazil continues to fall. U.S. technology hubs including Silicon Valley/San Francisco, New York, Boston, Los Angeles and Chicago continue to retain and reinforce global venture capital investor confidence. The following graphic illustrates global venture capital investor’s confidence by nation.
- Silicon Valley/San Francisco (4.28), New York (3.86) and Boston (3.77) are the top three U.S. metros global venture capital investors have the greatest confidence in. Los Angeles (3.43) and Chicago (3.22) are the fourth and fifth most trusted U.S. metros that venture capitalists have confidence in. $15.2B was invested by global venture capital investors in Silicon Valley/San Francisco according to the Deloitte study. The following graphic compares venture capitalist confidence levels and venture capital investment dollars received in 2015 through Q2.
- Immigration reform (61%) and patent demand reform (36%) are the top two initiatives U.S.-based venture capitalists want addressed by policy leaders. For non-U.S. venture capitalists, tax incentives/credits (50%), infrastructure and job creation (both 41%) are the top two initiatives they would like to see public policy leaders take on in their home country.
- Cloud computing continues across all sectors as the area global venture capital investors have the greatest confidence in. Confidence in biopharmaceuticals grew the fastest of any sector measured by the survey between 2014 and 2015, and this is the first year Deloitte is tracking investor confidence in the Internet of Things (IoT). A sector comparison is provided below.