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Posts from the ‘SaaS’ Category

5 Insights & Predictions On Disruptive Tech From KPMG’s 2015 Global Innovation Survey

  • cloud computing survey 215% of U.S. tech leaders see biotech/digital health/healthcare IT as the most disruptive consumer-driven technology in the next three years.
  • 13% of U.S. tech leaders predict data and analytics will be the most disruptive enterprise technology in three years.
  • Global tech leaders predict cloud computing (11%), mobile platforms and apps (9%), Internet of Things (IoT)/machine-to-machine (M2M) (9%) and data and analytics (9%) will be the most disruptive technologies over the next three years.

These and many other insights are from the fourth annual 2015 Global Technology Innovation Survey released via webcast by KPMG last month. KPMG surveyed 832 technology industry business leaders globally, with the majority of being C-level executives (87%). Respondents were selected from a broad spectrum of businesses including tech industry startups, mid- and large-scale enterprises, angel investors and venture capital firms. For an in-depth explanation of the survey methodology, please see slides 6 and 7 of the webinar presentation. The goals of the survey include spotting disruptive technologies, identifying tech innovation barriers and opportunities, and tracking emerging tech innovation hubs.

The five insights and predictions from the report include the following:

  • Global tech leaders predict cloud computing (11%), mobile platforms and apps (9%), Internet of Things (IoT)/M2M (9%) and data and analytics (9%) will be the most disruptive technologies over the next three years.  U.S. tech leaders predict biotech/digital health/healthcare IT (15%), data and analytics (14%) and cloud computing (14%) will be the three most disruptive technologies over the next three years.  Chinese tech leaders predict artificial intelligence/cognitive computing (15%) will be the most disruptive technology impacting the global business-to-consumer (B2C) marketplace.

tech driving consumer technologies

  • The three most disruptive technologies predicted to drive business transformation in enterprises over the next three years in the U.S. include cloud computing (13%), data and analytics (13%), and cyber security (10%). Japanese tech leaders predict artificial intelligence/cognitive computing will have the greatest effect (23%), and 14% of Chinese tech leaders predict the Internet of Things/M2M (14%) will have the greatest impact on business transformation in their country.  The following table compares global tech leader’s predictions of which technologies will disrupt enterprises the most and drive business transformation over the next three years.

business transformation

  • Improving business efficiencies/higher productivity, and faster innovation cycles (both 20%) are top benefits tech leaders globally are pursuing with IoT strategies. The point was made on the webinar that in Asia, consumers are driving greater adoption of IoT-based devices to a richer contextual customer experience. Greatest challenges globally to adopting IoT is technology complexity (22%), lack of experience in the new technology or business model (16%), and both displacement of the existing tech roadmap and security (both 13%).       

IoT in the enteprrise

  • Analytics are most often adopted to gain faster innovation cycles (25%), improved business efficiencies and higher productivity (17%) and more effective R&D (13%).  The greatest challenges are technology complexity (20%) and lack of experience in the new technology or business model (19%),

data and analytics KPMG Survey

  • Tech leaders predict the greatest potential revenue growth for IoT in the next three years is in consumer and retail markets (22%).  IoT/M2M is also expected to see significant revenue growth in technology industries (13%), aerospace and defense (10%), and education (9%).  The following graphic compares tech leader’s predictions of the industries with the greatest potential revenue growth (or monetization potential) in the next three years.

Emerging Tech IoT monetization



Tech Innovation Global Webcast presenting the findings of KPMG’s 2015 Global Technology Innovation Survey

KPMG Survey: Top Disruptive Consumer Tech – AI In China, Healthtech In U.S., 3-D Printing In EMEA


Salesforce On The State Of Analytics, 2015

  • analytics predictions 2015Between 2015 and 2020, the number of data sources analyzed by enterprises will jump 83%.
  • 9 out of 10 enterprise leaders believe analytics is absolutely essential or very important to their overall business strategies and operational outcomes.
  • 54% of marketers say marketing analytics is absolutely critical or very important to creating a cohesive customer journey.
  • High performing enterprises are 5.4x more likely than underperformers to primarily use analytics tools to gain strategic insights from Big Data.

These and many other interesting insights are from the 2015 State of Analytics study from Salesforce Research. Salesforce conducted the study in mid-2015, generating 2,091 responses from business leaders from enterprises (not limited to Salesforce customers). Geographies included in the study include the U.S., Canada, Brazil, U.K., France, Germany, Japan, and Australia.  While Salesforce is a leading provider of analytics, the report strives to deliver useful insights beyond just endorsing their product direction.

10 insights and predictions on the state of analytics include the following:

  • Between 2015 and 2020, the number of data sources analyzed will jump 83%. Salesforce Research found that the number of data sources actively analyzed by businesses has grown just 20% in the last five years. This is projected to accelerate rapidly, attaining a compound annual growth rate of 120% in the 10-year forecast period. High performing enterprises will be relying on a projected 50 different data sources by 2020, leading all performance categories tracked in the study.

data explosion

  • Relying on manual processes to get all the data in one view (53%) is one of the greatest challenges enterprises face today. Additional factors driving enterprises to integrate more data sources into their analytics applications include finding that too much data is left unanalyzed (53%), spending too much time updating spreadsheets (52%), and analysis is performance by business analysts, not end users of the data (50%).  All of these factors and those shown in the graphic below form the catalyst that is driving greater legacy, 3rd party and broader enterprise data integration into analytics applications.

lack of automation

  • 9 out of 10 enterprise leaders believe analytics is absolutely essential or very important to their overall business strategies and operational outcomes. In addition, 84% of high performers are projecting that the importance of analytics will increase substantially or somewhat in the next two years. 65% of all business leaders surveyed are predicting that the importance of analytics will increase substantially or somewhat in the next two years.

analytics is critical to driving business strategy

  • High performing enterprises are 4.6x more likely than underperformers to agree that data is driving their business decisions. In addition, 60% of high performing enterprises’ leaders agree with the statement that their organizations have moved beyond numbers keeping score to data driving business decisions. Salesforce Research also found that 43% of high performers rely on empirical data, developing hypotheses and then experimenting and observing the outcomes before making a decision.

data drives decisions

  • Driving operational efficiencies and facilitating growth (both 37%) are the two areas enterprises are initially focused on with analytics today.  Once analytics apps are delivering insights and are part of daily workflows, enterprises expand their use into optimizing operational processes (35%), identifying new revenue streams (33%) and predicting customer behavior (32%). The following graphic provides a comparison of the top ten use cases.

analytics every corner

  • High performance enterprises consistently analyze more than 17 different kinds of data across their analytics apps.  In contrast, underperforming organizations only analyze 10 different data sources, and moderate performers, 15. The following graphic provides an overview of the top ten most-used sources of data.

companies track a wide variety of data

  • High performers are 3.5x more likely than underperformers to extensively use mobile reporting tools to analyze data wherever they are. 55% of high performing enterprises are more likely to be extensively using mobile reporting tools to analyze data.  The following graphic compares mobile analytics adoption across high, medium and low performing enterprises.

top teams tap mobile analytics

  • Speed of deployment (68%), ease of use for business users (65%) and self-service and data discovery tools (61%) are the three top three priorities leaders place on selecting new analytics apps.  Mobile capabilities to explore and share data (56%) and cloud deployment (54%) are the fourth and fifth factors leaders mentioned.  The following graphic compares the decision factors that go into selecting an analytics app.

decision factor analytics app

  • Industries who have the greater analytics adoption today (over 50% of users active on apps and tools) include high tech (36%) and financial services (32%). Automotive (30%) and media & communications (30%) also have attained significant adoption.


  • High performing enterprises are 5.4x more likely than underperformers to primarily use analytics tools to gain strategic insights from Big Data. Leaders in high performance enterprises see the value of Big Data (76%) to a much greater extent than their lower performing counterparts (14%).   High performing enterprises are 3.1x more likely than underperformers to be confident in ability to manage data from internal systems, customers, and third parties.

Key Take-Aways From The 2015 Pacific Crest SaaS Survey

  • Cloud Computing M&A40% of SaaS companies are using Amazon Web Services (AWS) to deliver their apps today.
  • Median subscription gross margins for SaaS companies in 2015 are 78%.
  • Overall, SaaS companies are projecting median revenue growth of 46% in 2015.
  • Channel sales and inside sales strategies delivered the highest revenue growth rates in 2014.
  • Companies in the $5M – $7.5M range achieved 70% revenue growth in 2014, surpassing the median 36% growth rate last year.

These and many other insights are from the 2015 Pacific Crest SaaS Survey published by David Skok of Matrix Partners in collaboration with Pacific Crest Securities. You can download a free copy of Part I of the study here (PDF, opt-in, 72 pp). 305 SaaS companies were interviewed, 31% from international locations and 69% from North America.  David Skok and Pacific Crest Securities will publish Part 2 of the results in the near future. SaaS Metrics 2.0 – Detailed Definitions provides a useful reference for many of the SaaS metrics mentioned in the study.

This year’s survey attracted an eclectic base of respondents, with median revenues of $4M a year, with 133 companies reporting less than $5M, and 57 over $25M. Annual Contract Value (ACV) across all respondents is $21K, with 17% of respondents reporting ACVs over $100K.  Please see pages 3 & 4 of the study for a description of the methodology. Key take-aways from the study include the following:

  • SaaS GAAP revenue growth is accelerating in 2014 and is projected to increase further in 2015 from 44% to 46%. Median revenue growth in 2014 for all survey respondents was 44%, with the aggregate projected growth for 2015 reaching 46%. When SaaS companies with less than $2.5M in revenues are excluded, median GAAP growth was 35% in 2014 and is expected to reach that same level in 2015.

grow SaaS Revenue


  • SaaS companies with mixed customer strategies are growing at 57% a year.  Excluding respondent companies with less than $2.5M in revenues, a mixed customer strategy dominates all others. Concentrating on enterprises and small & medium businesses (SMBs) both drove 33% revenue growth of respondent companies this year.

median growth rate as a function of customer


  • 40% of SaaS companies are using Amazon Web Services (AWS) to deliver their apps today. AWS is projected to increase to 44% three years from now, with Microsoft Azure increasing from 3% today to 6% in 3 years.

SaaS Delivered


  • 41% of all SaaS companies surveyed rely primarily on field sales.  Factoring out the companies with less than $2.5M in revenue, field sales accounts for 32%.

primary mode of distribution


  • Field sales dominates as the most effective sales strategy when median deal sizes are $50K or more. In contrast, inside sales dominates $5K to $15K deal sizes, and the Internet dominates deal sizes less than $1K.  The following graphic provides insights into the primary mode of sales by median initial contract size.

mode by initial contract size


  • 16% of new Average Contract Value (ACV) sales is from upsells, with the largest companies being the most effective at this selling strategy. One of the strongest catalysts of a SaaS companies’ growth is the ability to upsell customers to a higher ACV, generating significantly greater gross margin in the process. SaaS companies with revenues between $40M to $75M increase their ACV by 32% using upsells. Larger SaaS companies with over $75M in sales generate 28% additional ACV with upsell strategies.

ACV Value


  • The highest growth SaaS companies are relying on upsells to fuel higher ACV.  There is a significant difference between the highest and lowest growth SaaS companies when it comes to upsell expertise and execution.  The following graphic provides an overview by 2014 GAAP revenue category of percent of ACV attributable to upsells.

fast upsell


  • 60% are driving revenues with “Try Before You Buy” strategies, with 30% generating the majority of their revenues using this approach.  On contrast, only 30% of companies generate revenues and ACV from freemium.


The Hottest Cloud-based Marketing Startups of 2015

  • What's Hot in CRM, 2012 Apttus, Booker, Lattice Engines, Segment and Tubular Labs are the five hottest cloud-based marketing startups of 2015.
  • 13 of the hottest 34 cloud-based marketing startups are from the Bay Area, followed by Los Angeles with 3, and Bangalore and New York, both with 2.
  • 14 are in Pre Series A, 7 in A-Stage, 5 in B-Stage and 3 in C-Stage funding rounds.

These and other insights are from a quick analysis completed today using Mattermark Pro, in response to reader requests for more research on marketing startups.

Mattermark uses a combination of artificial intelligence and data quality analysis to provide insights into over 1 million private companies, over 470,000 with employee data, and over 100,000 funding events. In the interest of full disclosure I’m not today and have never done any consulting work of any kind with Mattermark.

Finding The Hottest Cloud-based Marketing Startups

To find the hottest cloud-based marketing startups, an initial query requesting startups competing in the cloud computing and marketing industries was completed. Next, advanced query tools in Mattermark Pro were used to filter out all startups that had exited as indicated by their stage status in Mattermark’s data. This filtered out startups who had been acquired, completed an IPO or had exited through other means. The table below is the result of an analysis completed today with Mattermark data.  You can download the table here in Microsoft Excel format.

hottest cloud-based marketing startups

The Mattermark Growth Score shown in the table below and downloadable Excel file is a measure of how quickly a company is gaining traction at a given point in time. It incorporates the Mindshare Score (web traffic, social traction) as well as business growth metrics (e.g. employee count over time, funding). The underlying assumption is that companies who see growth across these signals are shipping product and talking to customers, and are more likely to continue to grow as a result. This score is not meant to provide guidance on which startup to invest in.  Rather it’s a measure of momentum across the metrics and KPIs that Mattermark measures.

Businesses Adopting Big Data, Cloud & Mobility Grow 53% Faster Than Peers

  • London sykline duskOrchestrating big data, cloud and mobility strategies leads to 53% greater growth than peers not adopting these technologies.
  • 73% of midmarket companies say the complexity of their stored data requires big data analytics apps and tools to better gain insights from.
  • 41% of midmarket companies are using big data to better target marketing efforts.
  •  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..

orchestrating tech for greater growth

  • 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%).

top outcomes

  • 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.

security strategic

  • 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.

security costs

  • 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 Top 10 Strategic Technology Trends For 2016

2016 Gartner technology trends graphicGartner 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 2016You 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:

top ten technology trends 2016


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

Roundup Of Cloud Computing Forecasts And Market Estimates Q3 Update, 2015

  • cloud computing forecastThe global SaaS market is projected to grow from $49B in 2015 to $67B in 2018, attaining a CAGR of 8.14%.
  • Global spending on Infrastructure-as-a-Service (IaaS) is expected to reach $16.5B this year, an increase of 32.8% from 2014.
  • Cloud applications will account for 90% of worldwide mobile data traffic by 2019, compared to 81% at the end of last year.

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:

cloud mobile data

  • 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

Public Cloud Usage

paas market trends

PaaS Market Share

  • 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?

goldman sachs cloud computing

IaaS Market Window

cloud maturity

hosted private cloud computing adoption

  • 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.

degree of dependence

  • 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.

cool infographic

  • 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.

Additional resources:

Cloud Computing Dominates Deloitte’s 2015 Global Venture Capital Confidence Survey

  • globeCloud computing is the strongest technology investment sector for the third year in a row.
  • Biopharmaceuticals and robotics are the two sectors that have gained the greatest venture capital confidence from 2014 to 2015.
  • 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.

cloud growth

  • 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.

US Metro

  •  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.

top two

  • 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.

sector investing

55% of Enterprises Predict Cloud Computing Will Enable New Business Models In Three Years

  • NYC Skyline Louis Columbus69% of enterprises expect to make moderate-to-heavy cloud investments over the next three years as they migrate core business functions to the cloud.
  • 44% of enterprises are relying on cloud computing to launch new business models today, predicting this will increase to 55% in three years.
  • 32% are using cloud computing to streamline their supply chains today. Senior executives predict this figure will increase to 56% in three years, a 24% increase.
  • 59% say they use cloud-based applications and platforms to better manage and analyze data today, reflecting the increasing importance of analytics and big data enterprise-wide.

These and other insights are from a recent Oxford Economics and SAP study of cloud computing adoption, The Cloud Grows Up. You can find the study here (no opt-in). In late 2014, Oxford Economics and SAP collaborated on a survey of 200 senior business and IT executives globally regarding the adoption and use of cloud technology. Oxford Economics’ analysts compared the latest survey with one completed in 2012 looking for leading indicators of cloud adoption in enterprises. They found many C- and VP-level executives are taking a more pragmatic, realistic view of what cloud technologies can contribute. Enterprises are moving beyond the hype of cloud computing, putting in the hard work of launching new business models while driving top-line revenue growth.

Oxford Economics has made two interactive infographics available from the study here. The first details cloud adoption, and the second, on how enterprises see cloud computing changing their business models over the next three years.  As cloud platforms and applications become a scalable, secure and for the most part reliable, once-elusive enterprise goals and new business models become attainable.

Key take-aways from the study include the following:

  • Top–line growth (58%), collaboration among employees (58%), and supply chain (56%) are the three areas enterprises expect cloud computing to impact most in three years. The greatest gains will be in the areas of supply chain (a 24% jump), collaboration among employees (20%) and increased agility and responsiveness to customers (17%). The following graphic compares where enterprises are seeing cloud computing’s impact today and a prediction of each areas’ impact in three years.

Figure 2

  • Developing new products & services (61%), new lines of business (51%) and entering new markets (40%) are three key areas cloud computing is transforming enterprises.  With a 35% increase, developing new products and services is the most dominant strategy enterprises are relying on to grow their businesses. See the comparison below for further details.       

developed new services using cloud computing 2

  • 58% of enterprises predict their use of cloud computing will increase top-line revenue growth in three years. 67% see the cloud changing skill sets and transforming the role of HR. The following graphic illustrates the first of two interactive infographics Oxford Economics and SAP are providing with the report. You can access the infographic here.

clouds enduring promise

  • 74% of enterprises say innovation and R&D is somewhat or mostly cloud-based. 61% say they will have developed new products and services in three years as a result of adopting cloud technologies.  The following graphic illustrates the second of two interactive infographics Oxford Economics and SAP are providing with the report. You can access the infographic here.

infographic the cloud grows up

  • Enterprise cloud security strategies are maturing rapidly. From 2012 to 2014, strategies for ensuring the security of API and interfaces increased 24%, from 20% to 44%. Additional concerns that increased include virus attacks (up 19%), and identity theft (up 16%).  The following figure compares the top concerns enterprises have in the area of cloud security.

cloud security

  • 31% of respondents say the cloud computing has had a transformative impact on their business.  48%, nearly half, state that cloud computing has had a moderate impact on business performance. The majority believe cloud computing will have a significant impact on top-line revenue growth in three years.

Figure 31

  • 67% of enterprises say that marketing, purchasing, and supply chain are somewhat and mostly cloud-based as of today. Cloud-based adoption has reached an inflection point in enterprises, with functional areas having the largest percentage of workloads running on cloud-based apps. Enterprise senior executives see the potential to improve innovation, R&D, and time-to-market via greater collaboration using cloud technologies.


Five Ways Cloud Service Providers Are Making Manufacturers More Competitive

  • manufacturing-execution-systemsEnterprises are only realizing 35% of the total potential value of their cloud deployments according to a recent Bain & Company study.
  • Companies that moved development to IaaS and PaaS clouds from Amazon Web Services (AWS) reduced downtime by 72% and improved application availability by 3.9 hours per user per year.

These and other key take-aways are from the recent Bain & Company study, Tapping Cloud’s Full Potential. The full report PDF is available for download here (free, no opt-in). The following graphic from the report illustrates the currently realized value of cloud deployments in enterprises today according to Bain & Company.

Capturing only one-third of the value of their workloads

The researchers found several critical drivers of cloud value with one of the most important being the strengthening and clarifying of a product and service focus. The following graphic illustrates the critical drivers of cloud value.

getting the most value

Cloud Service Providers Give Manufacturers The Ability To Stay Competitive

Cloud-first strategies designed to accelerate and strengthen shifts in emerging business models is paying off according to Bain’s research results.

Manufacturers choosing to pursue a cloud-first strategy are focusing on evolving their business models, processes, systems and performance quickly to stay in step with customers’ needs. For many manufacturers, their customers’ pace is faster than internal IT organizations can anticipate and react to.  CSPs are helping to close that gap.

Here are five ways CSPs are making manufacturers more competitive:

  • Bringing industry expertise to the shop floor level. The best CSPs serving manufacturers today have management teams that have decades of combined manufacturing experience in specific industries. The CEO of a specialty tools manufacturer remarked that his company’s cloud strategy was more focused on accelerating plant floor performance first.  Working with a CSP that had expertise in their industry, this manufacturer was able to gain greater supply chain visibility and improve forecast accuracy, all with cloud-based apps.
  • Solving legacy and 3rd party system integration problems so that cloud-based ERP, CRM, supply chain management (SCM) systems can scale quickly. When a rust-belt based manufacturer of heating, ventilation and air conditioning (HVAC) systems had the opportunity to grow their business by expanding into build-to-order customized products, their CSP partner made it possible to integrate an entirely new product configurator and cloud-based ERP system module to manage quote-to-cash. Today, 30% of corporate-wide profits are from build-to-order selling strategies.
  • Knowledge-sharing supplier networks are becoming more attainable for manufacturers thanks to cloud technologies and CSPs. All manufacturers have strategic plans that include greater integration of their supplier networks, with many seeking to create knowledge-sharing networks. One of the best studies of how to create a knowledge-sharing network is from Dr. Jeffrey Dyer and Dr. Kentaro Nobeoka based on their intensive work with Toyota. Their study, Creating And Managing A High Performance Knowledge-Sharing Network: The Toyota Case is a great read. The following graphic from the study illustrates the evolution of a knowledge-sharing network. Manufacturers are relying on cloud platforms and CSPs to enable shifts in network structures and nurture change management to create self-sustaining systems.

Evolution of network

  • Two-tier ERP adoption in manufacturing is growing as CSPs master cloud ERP systems. CSPs are moving beyond providing basic services, specializing in cloud ERP, CRM, SCM, pricing, services and legacy system integration to keep pace with manufacturers’ demands. In one high tech manufacturer, their CSP partner orchestrated the procuring and launch of their cloud-based two-tier ERP system integrated to an SAP instance in their headquarters. Today they operate production centers in Asia, North America and Australia, all coordinated through the main SAP instance in the U.S. headquarters.
  • Making Service Level Agreements (SLAs) more relevant to manufacturing business models. Instead of just getting SLAs for uptime, security and system stability, manufacturers are getting advanced manufacturing intelligence dashboards that provide visibility to the plant or production center level.

Bottom Line:  Manufacturers are increasingly relying on CSPs’ cloud, industry and integration expertise to support the transition many are making to new business models and get greater than 35% of the value from their cloud investments.

Additional resources on Cloud ERP systems:


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