DATA INTELLIGENT BUILDINGS AND BIG CABA (CONTINENTAL AUTOMATED BUILDINGS ASSOCIATION) GREG WALKER, RESEARCH DIRECTOR

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1 INTELLIGENT BUILDINGS AND BIG DATA CABA (CONTINENTAL AUTOMATED BUILDINGS ASSOCIATION) GREG WALKER, RESEARCH DIRECTOR NAVIGANT RESEARCH CASEY TALON, SENIOR RESEARCH ANALYST

2 Table of Contents Section 1 Section 3 Section 4» CABA and Project Overview» Intelligent Buildings and Big Data» Contact Information 2

3 CABA and Project Overview

4 About CABA»The Continental Automated Buildings Association (CABA) is an international not-for-profit industry association dedicated to the advancement of connected home and building technologies. The organization is supported by an international membership of over 300 organizations involved in the design, manufacture, installation and retailing of products relating to home automation and building automation. 4

5 CABA Board of Directors 5

6 CABA Vision CABA accelerates growth in the connected home and intelligent buildings sectors. 6

7 About this Project»CABA commissioned Navigant Research to lead this study with a collaborative framework that engaged sponsors from a cross-section of building technology solution providers.»research Objective: Examine new tools and resources emerging in the market to help companies filter, analyze, and use Big Data collected from their intelligent and integrated buildings. 7

8 Sponsors Diamond Sponsors Emerald Sponsors 8

9 Sponsors Cont d. Ruby Sponsors 9

10 Intelligent Buildings and Big Data

11 About Navigant Research NAVIGANT RESEARCH PROVIDES IN-DEPTH ANALYSIS OF GLOBAL CLEAN TECHNOLOGY MARKETS. The team s research methodology combines supply-side industry analysis, end-user primary research and demand assessment, and deep examination of technology trends to provide a comprehensive view of the Energy Ecosystem. RESEARCH PROGRAMS: Energy Technologies Utility Transformations Transportation Efficiencies Building Innovations RESEARCH OFFERINGS: Research Reports Subscription Research Services Custom Market Research Custom Market Analysis Market Sizing and Forecasting Primary Research Go-to-Market Services Strategic Advisory Sessions Commercial Due Diligence Technology Evaluation 11

12 Purpose of Project» Big Data has the potential to have a profound impact on intelligent buildings What is Big Data with regards to intelligent buildings? What do customers think? How big of a market will this be? What are the opportunities? What is really happening in the market? 12

13 Survey Findings» Most decision makers do not know how to define big data or understand the potential benefits On a scale of 1 to 5, where 1 is not knowledgeable at all and 5 is extremely knowledgeable, how do you rate your knowledge about the concept of big data and the application of big data to buildings? (n=400) 100% 90% 80% 70% 60% % 40% 30% 20% 10% 0% Concept of big data Application of big data to buildings 13

14 Survey Findings» Survey respondents were primarily concerned with cost On a scale of 1 to 5 where 1 is not important at all and 5 is extremely important, please rate how important the following factors are when making improvements to your building. (n=400) Saving money 4.49 Reducing energy consumption 4.14 Increasing occupant comfort

15 Survey Findings» Security and privacy are the biggest issues On a scale of 1 to 5, where 1 is not concerned at all and 5 is extremely concerned, how concerned are you about the following issues as it relates to data collected in your building? (n=400, 1 is not important at all and (Average 5 is extremely Rating) important) Security of network Privacy of data Ability to analyze data Reliability of data storage Ability to combine data from multiple sources Complexity of data Training of building management workforce Amount of data Acceptance of the leadership of my organization Acceptance of building management workforce Frequency of data Acceptance of IT department

16 ($ Millions) 2015 Continental Automated Buildings Association. All rights reserved. Big Data in Intelligent Buildings Market $600 Big Data in Intelligent Buildings Revenue, North America: $500 $512 $400 $300 $200 $100 $171 $

17 Market Dynamics: What needs to change?» The supply side of the market is ahead of the curve» Only innovative customers have adopted the solutions entering the market Market Dynamics for Big Data in Intelligent Buildings Bridge the Gap 17

18 Market Maturity: How Can Provider Prepare» Most decision makers do not know how to define big data or understand the potential benefits On a scale of 1 to 5, where 1 is not knowledgeable at all and 5 is extremely knowledgeable, how do you rate your knowledge about the concept of big data and the application of big data to buildings? (n=400) Time to Educate 100% 90% 80% 70% 60% 50% % 30% 20% 10% 0% Concept of big data Application of big data to buildings 18

19 Big Data Solutions: What are the Solutions?» Big data analytics is an extension of the analytics that have brought new insight to investment and operational management changes Big Data Solution Offerings for Intelligent Buildings Build Off Smart Solutions 19

20 Solutions Offerings: How will Big Data become part of the Intelligent Building?» Next-generation offerings provide the most sophisticated analytics to deliver insight and direct action Big Data Solutions and the Convergence of Facilities, Business, and Energy Management Create Roadmaps 20

21 Business Case: How will Big Data Change Intelligent Buildings? Clarify the Message» Big data solutions change the paradigm for managing: Facilities Energy consumption Business operations» Solutions are shifting the architecture of building systems More distributed platform with hybrid and predictive control Based on multiple inputs and outputs from multiple systems 21

22 Role of Big Data in Energy Efficiency: How will Big Data Change Intelligent Buildings? Create Actionable Solutions» A big data solution for energy efficiency must provide continuous tracking and benchmarking Building profiles must be up to date A buildings physical systems evolve and external factors like weather and utility prices change» Constantly maintaining this data allows for a complete understanding of the impact of energy efficiency upgrades Also allows for an assessment of which future improvements will yield the best results 2015 Continental Automated Buildings Association. All rights reserved. 22

23 Value Propositions for Big Data Adoption: How will Big Data Change Intelligent Buildings? Customize the Message Customer Value Propositions for Big Data Solution Offerings 23

24 Next Steps and Contact Information Casey Talon, Navigant Research Analyst Phone: Greg Walker, CABA Research Director Phone: x227 24