Towards Data-Driven Buildings

Big Data for Smart Buildings 2018 to 2023

Published: Q4 2018
Date:
Q4 2018
Pages:
245
Charts & Tables:
47
Category:
Smart Buildings
Questions?
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This Report is a new 2018 Study which makes an objective assessment of the Market for Big Data Software, Networks and Services in Buildings 2018 to 2023.
Our 2nd edition of research into the Market for Big Data in Smart Buildings 2018 to 2023 focuses primarily on software and professional services solutions. IOT device and hardware markets having been covered in our recently published (Q2 2018) report on the market for The Internet of Things in Smart Commercial Buildings (BIoT).

This report contains original forecasts & detailed analysis on the current state of the market, significant developing trends and drivers / barriers that are helping to shape the market. The report provides valuable insights into the key factors influencing how the market is evolving in terms of technology, investments, data management strategies, global growth, region specific trends, the competitive landscape & business models.

Memoori have developed the following model to describe 3 potential levels of Smart Building Data Solution Maturity as illustrated below.

WHY DO YOU NEED THIS REPORT?
  • We project that the total global market for Big Data in Smart Commercial buildings will experience robust growth over the forecast period, rising from $15.6Bn at the end of 2018 to $35.8Bn by 2023, representing a CAGR of 18%. Growth in this area has slowed slightly since our initial assessment of this particular market, which considered the 2015 to 2021 period (published in 2016). The slowing is largely due to the steady maturation of the market, and the much larger baseline market size; but in part also due to other factors such as price competition and concerns surrounding data privacy and security.
  • We see application software as currently representing the largest portion of revenue spending in the market, with end users investing heavily into business intelligence tools, dashboards and other data visualization and reporting functionality. Overall this segment of the market is expected to grow rapidly at a rate of 19.8% over the forecast period. By 2023, its share of the overall market will have grown from 33% to 36%, representing revenues of $12.9Bn.
  • Growth in the commercial offices market is largely untapped so far, with the majority of investments only focused on minimizing operational costs and energy expenditure. Productivity and occupant experience related investments will drive market growth in this segment, with significant market spending also projected in relation to a variety of predicative analytics AI and machine learning initiatives. By 2023, the commercial offices segment is expected to generate revenues of over $15Bn, rising from a projected 2018 value of just over $7Bn in 2018 at a CAGR of 16.4%.

This report focuses on market sizing and opportunities for Smart Commercial buildings, providing a fresh market assessment based upon the latest information. Regions for this edition of the study are spilt into 5 categories representing the international markets of North America, Latin America, Europe, Asia Pacific and The Middle East & Africa.

The information and analysis is based on interviews with building systems manufacturers, tech firms, software providers, middleware companies, consultants and end users of building systems to achieve a rounded view of the market. The intelligence gained from interviews as well as extensive secondary research has been used to form a clear picture of the current state of the market.


WITHIN ITS 245 PAGES AND 47 CHARTS AND TABLES, THE REPORT FILTERS OUT ALL THE KEY FACTS AND DRAWS CONCLUSIONS, SO YOU CAN UNDERSTAND EXACTLY WHAT IS SHAPING THE FUTURE OF THIS GLOBAL BIG DATA MARKET;
  • The BIOT is also becoming increasingly complex for both vendors and end-users to navigate. Few (if any) organisations have the expertise in both IT and OT domains to thoroughly dominate the landscape, so it becomes important for vendors both new and old to carefully evaluate the markets in which they want to focus and establish partnering relationships in other areas of the supply chain to strengthen their market positioning.
  • To simplify the implementation process and avoid having to manage multiple new supplier relationships, End users are predominantly interested in investing in comprehensive end-to-end solutions. They are seeking assurances that any investments made will deliver integrated, tried-and-tested solutions that work seamlessly together. Ecosystems and partnerships will also be important at the platform level, with developers piggy-backing on platform capabilities around data integration, device management and analytics to create compelling new software offerings.
  • As end user expectations around data accessibility and data integration evolve and more companies seek to integrate building systems data onto wider enterprise data platforms, established market players will need to move steadily away from their legacy market models. Siloed systems and tools that require specific expertise to manage and operate are ill-suited to the evolving requirements of the BIoT. Vendors will need to embrace open standards and improve their metadata management procedures to ensure data can be integrated more seamlessly.

Starting at only $1,750 USD (Single User License) this report provides valuable information so companies can improve their Strategic Planning Exercises AND look at the potential for developing their business through Merger, Acquisition and Alliance.


WHO SHOULD BUY THIS REPORT?

The information contained in this report will be of value to all those engaged in managing, operating and investing in Commercial Smart Buildings (and their Advisers) around the world. In particular those wishing to understand exactly how Big Data is impacting Commercial Real Estate will find it particularly useful.


Table of Contents
  • Preface
  • Executive Summary
    1. 1. An Introduction to Big Data
      • 1.1 The 4 Vs of Big Data
      • 1.2 Structured vs Unstructured Data
      • 1.3 Data Storage &amp Processing
    2. 2. Key Enabling Technologies
      • 2.1 The IoT
      • 2.2 Data Analytics
      • 2.3 Cloud
      • 2.4 Edge Processing & Analytics
      • 2.5 AI & Machine Learning
    3. 3. Big Data & the BIOT
      • 3.1 The BIOT Supply Chain
      • 3.2 Big Data for Smart Buildings
      • 3.3 BIOT Data Analytics
      • 3.4 Software & Platforms
    4. 4. Current Market Status
      • 4.1 Big Data Investments & Spending Priorities
      • 4.2 Adoption Rates
      • 4.3 Success Rates
    5. 5. The Journey Towards Data-Driven Buildings
      • 5.1 Big Data Maturity Assessments
      • 5.2 Converting Data to Actionable Intelligence
      • 5.3 Establishing a Data-Driven Culture
      • 5.4 Big Data Leadership & Governance
      • 5.5 Data Strategies
      • 5.6 The IT / OT Challenge
      • 5.7 Opportunities Beyond the Building
    6. 6. Standards
      • 6.1 Building Automation Standards
      • 6.2 Semantic Data Modeling & Metadata Management
    7. 7. General Smart Building Applications
      • 7.1 Smart Energy Management
      • 7.2 Smart Operations & Maintenance
      • 7.3 Safety & Security
      • 7.4 Video Analytics
      • 7.5 Reporting & Data Visualization
    8. 8. Vertical Market Applications & Opportunities
      • 8.1 Commercial Offices
      • 8.2 Retail
      • 8.3 Hospitality
      • 8.4 Healthcare
      • 8.5 Other Buildings
      • 8.6 CRE Level Opportunities
    9. 9. The Global Market – Sizing & Growth Projections
      • 9.1 Market Analysis by Segment
      • 9.2 Market Analysis by Vertical
    10. 10. Market Analysis by Region
      • 10.1 Regional Comparisons
      • 10.2 North America
      • 10.3 Latin America
      • 10.4 Asia Pacific
      • 10.5 Europe
      • 10.6 Middle East & Africa
    11. 11. Market Drivers
      • 11.1 Economic & Business Drivers
      • 11.2 Technology Drivers
      • 11.3 Energy Efficiency & Environmental Drivers
      • 11.4 Policy & Regulatory Drivers
    12. 12. Market Barriers
      • 12.1 Knowledge & Skills
      • 12.2 Cyber Security
      • 12.3 Privacy
      • 12.4 Implementation Cost & ROI
      • 12.5 Data Challenges
    13. 13. The Competitive Landscape
      • 13.1 The Wider Big Data Landscape
      • 13.2 The Evolving BIoT & Big Data Landscape
      • 13.3 ICT Vendor Positioning
      • 13.4 Building Controls Vendors
      • 13.5 Startups & Their Impact on the Market

List of Charts and Figures
  • Fig 1.1 The 4 V’s of Structured & Unstructured Data
  • Fig 1.2 Global Data Volume Projections 2016 – 2023
  • Fig 2.1 Barriers to Public Cloud Adoption
  • Fig 2.2 Leading Cloud Architectures by Industry
  • Fig 2.3 Key Term Searches for Leading Emerging Technologies over Time
  • Fig 3.1 The Internet of Things in Smart Commercial Buildings 2018
  • Fig 3.2 The BIoT and Big Data Value Chain
  • Fig 3.3 Enterprise Data Collection by Equipment Source
  • Fig 3.4 Big Data Sources in Smart Buildings
  • Fig 3.5 Big Data Platform Functionality
  • Fig 3.6 Developer Target Markets
  • Fig 4.1 Leading Objectives for Big Data and AI Initiatives
  • Fig 4.2 CIO Tech Spending Priorities
  • Fig 4.3 Industry Importance of Big Data, 2015-2017
  • Fig 4.4 Big Data Adoption Rates
  • Fig 4.5 Success Rates of Big Data and AI Initiatives by Objective
  • Fig 5.1 Overview of the Gartner Maturity Model for Data and Analytics
  • Fig 5.2 Big Data Maturity Assessment 2017
  • Fig 5.3 Smart Building Big Data Solution Maturity
  • Fig 5.4 Key Challenges to Introducing Data-Driven Ways of Working
  • Fig 5.5 Who Should be Responsible for Organisations’ Big Data & Analytics Agenda
  • Fig 5.6 Strategic Roadmap for Big Data Project Delivery
  • Fig 8.1 The Benefits of Workplace Digital Workplace Technologies
  • Fig 8.2 Use Cases for Occupancy Analytics and In-Building Location Based Service
  • Fig 8.3 The Value of Location Data for Retailers
  • Fig 8.4 Leading IoT Applications in the Healthcare Sector
  • Fig 8.5 Positive Impacts from Big Data Investments of Commercial Real Estate
  • Fig 9.1 The Global Market for Big Data in Smart Commercial Buildings, $Bn
  • Fig 9.2 Smart Commercial Building Big Data Market Breakdown by Segment, $Bn 2018-2023
  • Fig 9.3 The Market for Big Data in Smart Commercial Buildings by Vertical, $Bn 2018-2023
  • Fig 10.1 Regional Growth Indicators
  • Fig 10.2 Big Data Adoption Rates by Region
  • Fig 10.3 The Market for Big Data in Smart Commercial Buildings by Region 2018-2023
  • Fig 10.4 The Market for the Big Data in Smart Commercial Buildings North America, $Bn 2018-2023
  • Fig 10.5 The Market for the Big Data in Smart Commercial Buildings Latin America, $Bn 2018-2023
  • Fig 10.6 The Market for the Big Data in Smart Commercial Buildings Asia Pacific, $Bn 2018-2023
  • Fig 10.7 The Market for the Big Data in Smart Commercial Buildings Europe, $Bn 2018-2023
  • Fig 10.8 The Market for the Big Data in Smart Commercial Buildings The Middle East & Africa, $Bn 2018-2023
  • Fig 11.1 Key Investment Drivers for Big Data Executives
  • Fig 11.2 Floor Area Additions by Region to 2023*, Billion Sq m
  • Fig 11.3 Global Office Completions 2012 – 2019, Millions Sq m
  • Fig 11.4 Global Final Energy Consumption by Sector 2015
  • Fig 11.5 Global Commercial Sector Energy Consumption 2018-2023
  • Fig 11.6 Energy Efficiency Investments
  • Fig 12.1 Big Data Challenges
  • Fig 12.2 The Digital Skills Gap
  • Fig 13.1 The Smart Building Technologies & Application Stack

Companies Mentioned INCLUDE (but NOT Limited to);
  • Acuity Brands | Alation | Altair | Alteryx | Amazon | Apple | Aruba (HPE) | Arup | Avigilon | Axis Communications | Ayla Networks | Bosch | BuildingIQ | CANDI | Canon | CapGemini | CBRE | Cimetrics | Cisco | Citrix | Cloudera | Convene | CREE | Cushman & Wakefield | Daikin | Dell | Deloitte | Enlighted | Ericsson | Ezenics | FacilityConnex | Flywheel | Gartner | GE | Genetec | Google | Honeywell | Hortonworks | Huawei | IBM | IDC | Intel | JLL | Johnson Controls | KMC Controls | Legrand | Lynxspring | McKinsey | MCS Solutions | Microsoft | Milestone Systems | NewVantage | Oracle | Osram | Panasonic | Pointgrab | PwC | Samsung | SAP | SAS | Schneider Electric | Siemens | SkyFoundry | Splunk | Switch Automation | Tridium | UTC | Vodafone | Walmart | WeWork | WiPro

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