1. Intelligent Buildings: Big Data and Trends in Market Size Continental Automated Buildings Association (CABA) RaWLSON O’Neil KING, COMMUNICATIONS DIRECTOR

2. Presentation Overview
Section 1 » Overview of CABA
Section 2 » Size of the Market
Section 3 » Big Data and Intelligent Buildings
Section 4 » Summary and Future for Buildings
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3. overview of CABA

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, manufacturing, installation and retailing of products relating to the Internet of Things for connected homes and intelligent buildings.
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5. “CABA accelerates growth in the connected home
CABA Vision
“CABA accelerates growth in the connected home
and intelligent buildings sectors.”
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6. What are Intelligent Buildings
24/7 Monitoring
Breakdown
Plant Tuning
Conditioned Monitoring
Car Park Utilisation
FIRE
Functionality checks
Detector service
Fire, Life, Safety
ACCESS
Doors
Buildings
Occupancy
Feed Forward
ENERGY
Utility Monitoring
(Elec/Water/Gas/Oil)
Tenant Building
Air/Water
Heat
Lighting
Back-up Generation
HVAC
Air-Handling Unit
Boilers
Pumps
Fans
Energy Control
Variable Air Volume
Air Quality
LIFTS
Maintenance
Traffic Performance
SECURITY
PIR
Integration
LIGHTING
Schedules
Occupancy Sensing W G E
COMMUNICATIONS
Voice/Video/Data
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7. Size of the Market

8. “Intelligent Buildings Market Sizing North America” Research
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9. Non-Residential Building Stock – North America (USA & Canada)
TOTAL 6.5 Million Buildings
Source: Various including U.S. Energy Information Administration, National
Resources Canada, US DOE, Department of Defense Base Structure Report
FY 2009 Baseline (Note: Excludes 26% Department of Defense buildings
Which are used for housing, or troop housing and mess facilities), and
BSRIA estimates.
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10. Total Market Size BACS and Fire are mature markets
Lighting Controls market smallest but booming
Security systems market growing strongly – led by CCTV
Source: Market Sizing for North America – Intelligent Buildings
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11. Uptake of Building Energy Management Systems (BEMS)
Trends and Drivers
Uptake of Building Energy Management Systems (BEMS)
Uptake of energy usage data analytics and ‘Big Data’
Concerns about energy efficiency
Legislative requirements (e.g. Indoor Air Quality Standard)
Uptake of ‘Internet of Things’
Cyber security
Connectivity and interoperability between BACS and other systems
Impact of Automated Demand Response (ADR)
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12. Market Drivers for Lighting Controls include:
Trends and Drivers
Market Drivers for Lighting Controls include:
Need to reduce energy costs
Necessity to comply with energy codes
Need to promote sustainability
Need to increase occupant comfort and productivity
U.S. Green Building Council
U.S. Department of Energy
American Society of Heating, Refrigerating and Air-Conditioning Engineers
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13. 1. Fire codes and Regulations
Trends and Drivers
1. Fire codes and Regulations
Process required to meet codes demands time and money. Militates against change.
Implementation varies from state to state and from city to city. This encourages a fragmented services sector
2. Maintenance/Testing worth more than the product
3. The USA is about average in terms of fire deaths in advanced countries
Figures coming down, but gradually
Room for improvement
4. When construction is depressed, retrofit gains importance.
5. Some trend to integration with other key systems, e.g. security
Vital not to compromise integrity of fire systems
Source: International Association of Fire and Rescue Services, and BSRIA
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14. Trends and Drivers
Source: International Association of Fire and Rescue Services, and BSRIA
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15. Trends and Drivers
Source: International Association of Fire and Rescue Services, and BSRIA
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16. IT/Horizontal Convergence
Source: International Association of Fire and Rescue Services, and BSRIA
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17. Services Converged and Integrated
1. Products integrated and converged will be IP - some IP products are installed as stand-alone systems.
2. Applications integrated / converged with BACS are energy management, demand response, sub-metering, lighting controls and security.
3. Lighting controls typically integrated or converged with building automation/HVAC controls.
4. Most security products integrated / converged with other security products - but only small proportion with BACS.
5. Fire and alarm detection systems are typically integrated with smoke detection/extraction, security or BACS.
Source: International Association of Fire and Rescue Services, and BSRIA
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18. Big data and intelligent buildings

19. Project kicked off August, 2014 and wrapped in February, 2015
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.
Project kicked off August, 2014 and wrapped in February, 2015
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20. Diamond Sponsors Emerald Sponsors Sponsors
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21. Ruby Sponsors Sponsors Cont’d.
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22. 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?
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23. INFORMATION COLLECTION
Research Methodology
INFORMATION COLLECTION
Primary Research
Secondary Research
Executive Interviews
Vendor Briefings
Product Demos and Tours
Company News & Financials
Technology & Product Specs
Government Data
Economic, Demographic Data
Consumer Surveys
Business Leader Surveys
Case Studies
Reference Customers
Supply Side
Demand Side
MARKET ANALYSIS
Qualitative
Quantitative
Business Models & Trends
Technology Issues
Policy & Regulatory Factors
Competitive Landscape
Profiles of Key Players
Market Sizing
Segmentation by Technology, Geography, Application, etc.
Market Share Analysis
Forecasts by Segment
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24. Defining Big Data in Intelligent Buildings
Big data in intelligent buildings is defined as:
The next generation in business and operational intelligence derived from the analysis of data integrated across multiple streams or sources for the purposes of overall system understanding, performance, and optimization
The term big data encompasses both the solution architecture and associated analytics
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25. 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)
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26. Survey respondents were primarily concerned with cost
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)
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27. Security and privacy are the biggest issues
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 5 is extremely important)
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28. Market for big data in intelligent buildings is nascent
Major Findings
Big data in intelligent buildings represents a pinnacle in energy and operational management
Market for big data in intelligent buildings is nascent
Chasm between the technology and end-user readiness for big data in intelligent buildings
Customers prioritize investment on the economic impacts over all other benefits.
The majority of decision makers in the intelligent buildings market do not know how to define big data or understand the potential benefits of these new solutions.
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29. Major Findings
Data security is a major concern for customers, and technology providers have an opportunity to demonstrate how standards and procedures can protect businesses investing in big data solutions.
Those interested in big data require transparency in the ROI of building and operational improvements.
There is a lot of low-hanging fruit in building and operational improvements – many customers can still benefit from periodic reporting and analytics on existing building systems, and, as a result, many customers are not ready to adopt fully integrated big data solutions.
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30. Big Data in Intelligent Buildings Market
Big Data in Intelligent Buildings Revenue, North America:
$512
$171
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31. A Half a Billion Dollar Market, So What?
Getting to Big Data in Intelligent Buildings
$512 million dollars in 2020?
What needs to change to make this forecast a reality?
How can big data solution providers prepare?
What are the solutions that are going to generate this kind of revenue?
How will Big Data Become a Part of the Intelligent Building?
How will Big Data change Intelligent Buildings?
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32. 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
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33. Market Maturity: How Can Provider Prepare
Most decision makers do not know how to define big data or understand the potential benefits
Time to Educate
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)
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34. 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
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35. 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
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36. Business Case: How will Big Data Change Intelligent Buildings?
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
Clarify the Message
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37. Create Actionable Solutions
Role of Big Data in Energy Efficiency: How will Big Data Change Intelligent Buildings?
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
Create Actionable Solutions
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38. Customer Value Propositions for Big Data Solution Offerings
Value Propositions for Big Data Adoption: How will Big Data Change Intelligent Buildings?
Customize the Message
Customer Value Propositions for Big Data Solution Offerings
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39. Vancouver Coastal Health Authority Case Study: Eco Opera
Showcases the benefits of the Eco Opera’s EcoCEO platform to optimize the building systems operation process
Combination of ongoing commissioning and a performance measurement and verification (M&V) process
Weekly reports for systems performance validation and/or systems fault detection
Monthly reports offering detailed trend analysis
Time-balanced commitment
5-minute review of the weekly reports
1-hour review of the monthly reports
Vancouver Coastal Health Authority
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40. Seneca Manufacturing Facility: Schneider Electric
Showcases Schneider Electric’s Building Analytics service to diagnose system inefficiencies, save energy, and cut costs
Building Analytics service automatically analyzed the plant’s performance, comfort levels, energy, and maintenance
Pre-designed daily diagnostic reports
A complete ROI is typically achieved within 18 months using the service
Seneca Manufacturing Facility
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41. Build Off Smart Solutions Create Actionable Solutions
Key Take-Aways
Bridge the Gap
Time to Educate
Build Off Smart Solutions
Create Roadmaps
Engage the Early Adopters
Develop Market Awareness
Start with Intelligent Solutions in the Market Today
Illustrate the Process
Clarify the Message
Create Actionable Solutions
Customize the Message
Focus on the Evolution of the Task at Hand
Address Specific Customer Challenges
Address Segment-Specific Pain Point
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42. Summary and future of buildings

43. Global IoT Market is Poised for Explosive Growth
Source: Jabil,
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44. The Internet of Everything
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45. Contact Information
Continental Automated Buildings Association (CABA)
1173 Cyrville Road, Suite 210
Ottawa, ON K1J 7S6
Toll free: CABA (2222)
Rawlson O’Neil King, CABA Communications Director
Phone: x225
©2015 Continental Automated Buildings Association. All rights reserved.