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Cloud Revolution Conitnues

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Cloud Revolution Conitnues

  1. 1. DATACLOUD ASIA 23 February 2017 / Singapore BILL BARNEY Chief Executive Officer RELIANCE COMMUNICATIONS & GLOBAL CLOUD XCHANGE 2017: THE CLOUD REVOLUTION CONTINUES…
  2. 2. 1. Observations On The Impact Of The Cloud Revolution 2. 2017 And Beyond: The Disruptive Opportunities 3. The Sure Bets of the Future 4. Final Thoughts Agenda
  3. 3. Observations on the Impact of the Cloud Revolution
  4. 4. Cloud has enabled new forms of Data Generators Source: Apple, DJI, Waze, Tesla, Microsoft, Ring, Fitbit, B & H Foto & Electronics.
  5. 5. The Facts: Source: Forbes “2017 Internet of Things Facts” This year, we will have 4.9 billion connected things....some predict that by 2020, the number of Internet- connected things will reach or even exceed 50 billion. In 2015, over 1.4 billion smart phones will be shipped and by 2020 we will have a staggering 6.1 billion smartphone users. By 2020, a quarter of a billion vehicles will be connected to the Internet, giving us completely new possibilities for in-vehicle services and automated driving. Today, the market for Radio Frequency Identification (RFID) tags, used for transmitting data to identify and track objects, is worth $11.1 billion. This is predicted to rise to $21.9 billion in 2020. Machine-to-machine (M2M) connections will grow from 5 billion at the beginning of this year to 27 billion by 2024, with China taking a 21% share and the U.S. 20%. CISCO believes the IoT could generate $4.6 trillion over the next ten years for the public sector, and $14.4 trillion for the private sector.
  6. 6. We are seeing unprecedented growth because the “global data” ecosystem is finally here SourcesofLeverageforGlobalInternetGrowth The Network Large investments in fiber optic & last-mile cables created connectivity that facilitated the early Internet growth The Software Optimizing the network with software became far more capital efficient than additional capex buildouts...ultimately resulting in the creation of pervasive networks (siloed data centers ➔ AWS)...& then pervasive software (Siebel ➔ Salesforce) The Infrastructure Emergence of pervasive software created the need to optimize the performance of the network & store extraordinary amounts of data at extremely low prices The Data Next Big Wave = Leveraging this unlimited connectivity & storage to collect / aggregate / correlate / interpret all of this data to improve people’s lives & enable enterprises to operate more efficiently Source: Adam Ghetti, Ionic Security; Ted Schlein, KPCB.
  7. 7. The “Third Wave” of Cloud Innovation will bring hyper-growth and unprecedented appetite for fiber and big computing New Major Technology Cycles = Often Support 10x More User & Devices, Driven by Lower Price + Improved Functionality Increasing Integration – lower cost Note: PC installed base reached 100MM in 1993, cellphone / Internet users reached 1B in 2002 / 2005 respectively; Source: ITU, Morgan Stanley Research. Computing Growth Drivers Over Time, 1960 – 2020E 1960 1970 1980 1990 2000 2010 2020 1MM+ Units 10MM+ Units 100MM+ Units 10B+ Units?? 1B+ Units/Users
  8. 8. The falling costs are a huge catalyst of growth Global Data Growth Rising Fast = +50% CAGR since 2010... Data Infrastructure Costs Falling Fast = -20% CAGR PetabytesofData CostperGBofStorage $0.20 $0.15 $0.10 $0.05 10B 8B 6B 4B 2B 0B 2010 2011 2012 2013 2014 2015 Data in Digital Universe (Petabytes) Storage Costs ($/GB) Data in Digital Universe vs. Data Storage Costs, 2010 – 2015 Source: IDC, May 2016.
  9. 9. Hyper-growth and unprecedented appetite for fiber and big computing in the “Third Wave” of Cloud Innovation…SoftwareSecurityInfrastructure Evolution Breaking Apart Data Bottleneck Revolution Data Integrated into Everything FIRST WAVE Constrained Data... Monolithic Systems, Expensive Storage, Data for Targeted Use Cases BUSINESS INTELLIGENCE (BI) Business Objects, Cognos, Micro Strategy DATA INTEGRATION Informatica DATA INTEGRITY Microsoft, Oracle Age of Oracle, Sybase SECOND WAVE Data Explosion / Chaos... Decentralized Systems, Cheap Storage, Big Data Everywhere VISUALIZATION PREP / WRANGLING INFRASTRUCTURE- CENTRIC SECURITY & MANAGEMENT Palo Alto Networks, FireEye Age of Big Data Hadoop, Teradata, Netezza, NetApp, EMC, Greenplum CLOUD BI ETL CACHING THIRD WAVE Mass Data Intelligence... Pervasive Systems, Big/Fast Storage, Data Instruments the Business DEPARTMENTAL APPLICATIONS Gainsight, Datadog, InsideSales ORGANIZATION-WIDE ANALYTICS PLATFORMS Looker, Domo, Anaplan DATA-CENTRIC SECURITY & MANAGEMENT Ionic Security, Tanium Age of Big/Fast Redshift, BigQuery, Spark, Presto Source: Looker, Ionic Security, KPCB 2016
  10. 10. Current Generation of Internet Leaders = Growing Faster than Previous Generation Marketplaces Gross Merchandise Value (GMV), Time Shifted Alibaba vs. eBay vs. Airbnb vs. Uber Commerce Gross Merchandise Value (GMV), Time Shifted Amazon.com vs. JD.com Enterprise Est. Quarterly Revenue ($MM), Time Shifted Salesforce vs. Slack 0 5 10 15 20 1 2 3 4 5 6 7 8 Alibaba/Taobao eBay Airbnb 0 20 40 60 80 100 120 140 160 180 200 1 3 5 7 9 11 13 15 17 19 JD.com Amazon.com 1 2 3 4 5 6 7 8 9 10 11 12 13 Salesforce Slack Marketplaces Source: Company data, Morgan Stanley Research. eBay founded in 1995. Amazon founded in 1995. Alibaba.com founded in 1999 as B2B portal connecting Chinese manufacturers and overseas buyers. Uber launched 2009, gave first ride in 2010. Airbnb founded in 2008.. Commerce Source: Publicly available company data, Morgan Stanley Research. JD.com launched B2C shipments in 2004, founded 1998 as an online magneto- optical store. Amazon founded in 1995. Enterprise Source: Slack. Graph starting point based on similar est. revenue figures. Salesforce quarterly revenue approximated from publicly disclosed annual GAAP revenues. GMV($B) Years Since Launch (T+) GMV($B) Years Since Launch (T+) Revenue($MM)
  11. 11. The Cloud market is exploding! World wide Hosting & Cloud Market Size, 2010 – 2019 Source: 451 Research, Cloud Computing Market Monitor, 2016 & Transforming Network Infrastructure 26,162 31,358 38,507 49,188 59,806 71,912 85,402 100,333 116,619 134,411 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 160,000 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019
  12. 12. “Data is moving from something you use outside the workstream to becoming a part of the business app itself. It’s how the new knowledge worker is actually performing their job.” FRANK BIEN, CEO OF LOOKER, 2016
  13. 13. 2017 and Beyond: The Disruptive Opportunities
  14. 14. If Jobs were alive today he would likely say... “Whoever masters the combination of server orchestration, fiber ubiquity and low cost global access to competing computing resources will be the technology infrastructure company of the next decade” And this is just the beginning... “We’re going to demote the PC and the Mac to just be a device. And we’re going to move the digital hub, the center of your digital life, into the Cloud” --Steve Jobs
  15. 15. Company Region 2017 Market Cap ($Bn) Apple USA 698.89 Alphabet Inc. (Google) USA 580.78 Microsoft USA 500.51 Facebook USA 387.40 Amazon.com USA 397.47 Alibaba China 258.12 Tencent China 246.76 AT&T USA 249.94 China Mobile China 234.98 Samsung Electronics Korea 230.43 Verizon USA 198.21 IBM USA 179.36 Intel USA 169.70 Oracle USA 168.57 TSMC Taiwan 164.42 Cisco Systems USA 160.43 SAP Germany 113.65 NTT Japan 87.45 Disruptive Opportunity #1 : There has yet to be a value creator in the global infrastructure space Source: Ycharts, Feb 2017 Most of these companies used their internal Clouds, yet have not yet built it for the rest of the enterprises. Amazon and Tencent have an early lead in compute and storage, yet have very limited high-end global distribution.
  16. 16. ABILITYTOEXECUTE ASSETS TO EXECUTE CHALLENGERS SINGLE OR LIMITED ASSETS ALL ASSET CLASSES AND GEOGRAPHIC REACH LEADERS ORACLE AMAZON ALIBABA GLOBAL FIBER OPERATORS MICROSOFT GLOBAL DATA CENTER OPERATORS US FIBER WHOLESALERS EUROPENA FIBER WHOLESALERS The Future Cloud Infrastructure Quadrant
  17. 17. Note: Data above based on countries including the US and those in the Middle East, Europe and Asia ex-China Disruptive Opportunity #2 : Whoever can make the emerging markets their home markets will have an unprecedented advantage with huge demand ahead Innovation and expansion across emerging markets will reap biggest benefits of the Cloud as requirements continue to grow  75% of world’s population is in Emerging Markets and is underserved;  Emerging Markets saw >1400% Internet growth in last 5 years;  4 Billion+ people still do not have Internet access.
  18. 18.  75% of world’s population is in Emerging Markets and is underserved;  Emerging Markets saw >1400% Internet growth in last 5 years;  4 Billion+ people still do not have Internet access. Source: WCI and EIU data The Emerging Markets Corridor connects over 2.0bn Internet subscribers currently and is expected to account for over 70% of the world’s smart phone growth and over 80% of the world’s GDP growth over the next 5 years Digital user distribution by region – JAN 2017 Each region’s share f the world’s population, global internet and social media users, and global mobile connections T: Total Population A: Active social Media Account I: Internet Users M: Mobile Connections North America T:5% A: 8% I: 8% M: 5% West Europe T:6% A: 8% I: 9% M: 7% East Europe T:6% A: 7% I: 8% M: 8% East Asia T:22% A: 33% I: 24% M: 22% Central America T:3% A: 4% I: 3% M: 3% Middle East T:3% A: 3% I: 4% M: 4% Central Asia T:1% A: <1% I: 1% M: 1% Southeast Asia T:9% A: 11% I: 9% M: 11% South America T:6% A: 9% I: 7% M: 7% Africa T:16% A: 6% I: 10% M: 13% South Asia T:24% A: 9% I: 16% M: 19% Oceania T:1% A: 1% I: 1% M: 1% Cloud computing will exponentially increase the speed of Internet penetration...
  19. 19. Growthin20125 Growth Potential (2015-2022) 40.0% 35.0% 30.0% 25.0% 20.0% 15.0% 10.0% 5.0% 0.0% 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% Japan Growth Markets Indonesia India China ThailandVietnam High Growth Markets Mature Markets Australia Philippines Hong Kong Singapore Malaysia South Korea Taiwan New Zealand Data Center Owners will be big winners in the next decade, and the Emerging Markets will be growth engines of these Data Centers... Note: CAGR for the period 2015-2022 Note: All figure are rounded; the base year is 2015. Source: Frost $ Sullivan analysis.
  20. 20. Disruptive Opportunity #3: There is no leading player in the emerging market corridor in the data center space, only one in the orchestration space and lastly a mere two competitors with fiber leadership 227 91 14 20 26 20 5 3 2 9 196 324 369 92 6 8 47 69 14 4 318 151 113 219 5 21 73 77 54 4 5 7 96 66 2 3 2 2 8 19 36 14 24 2 30 34 41 10 15 53 53 25 17 11 16 33 30 19 3 4 6 5 5 The high concentration of Data Centers in USA and Europe are far from most users in the Emerging Markets. Regulatory compliance, user experience, reliability and cost factors will mandate significant movement of data closer to users.
  21. 21. The Sure Bets of the Future for Cloud Providers
  22. 22. 0 10000 20000 30000 40000 50000 60000 1 2 3 4 5 6 7 8 9 10 USDinRevenuePerRack KVA Per Rack 100 MVA facilities with Exabytes of Fiber capacity will be the centers of the next decade Network Costs Build Costs Operating Costs Data Center Margin Network Margin Source: RCOM/GCX Research Sure Bet #1: The Networked Data Center will be at the Core of future
  23. 23. Sure Bet #2: Distributed focused compute centers will be the wave of the future Understanding the FOC  High Power density data centers with strong fiber connectivity and internet gravity  Located in city and tech centers  80% to 90% of cash generated from services and “spot services”  High customer engagement with average customer growing at double digits or more per year  Expensive build at $12K to $14K a KVA  Tech like investment vehicles with hyper growth and high velocity of innovation Understanding the STOC  Lower power density with build costs ranging from $6K to $9K a KVA  Longer term stickier customers and revenue streams  Located in low rent optimal cooling locations  80% to 90% of cash generated from storage and “industrial computing”  Real estate like investment profile with REIT or Trust like capital structures
  24. 24. Sure Bet #3: With Orchestration ecosystems in your data centers, you will win! CRM, ERP, etc. Already Integrated with 100+ Networks Low cost, Pay as you go /device Launch in weeks Devices Networks IoT Services Platform IoT Apps / IT deeplyintegrated Automate The Service Lifecycle Orchestration capability
  25. 25. 25 Final Thoughts
  26. 26. 26 Whoever masters the combination of server orchestration, fiber ubiquity and low cost global access to competing computing resources will be the technology infrastructure company of the next decade...

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