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Towards Data-Driven Buildings: Big Data for Smart Buildings 2018 to 2023

Towards Data-Driven Buildings: Big Data for Smart 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.


1. An Introduction to Big Data
1.1 The 4 Vs of Big Data
1.2 Structured vs Unstructured Data
1.3 Data Storage & Processing
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. 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. Current Market Status
4.1 Big Data Investments & Spending Priorities
4.2 Adoption Rates
4.3 Success Rates
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. Standards
6.1 Building Automation Standards
6.2 Semantic Data Modeling & Metadata Management
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. 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. The Global Market – Sizing & Growth Projections
9.1 Market Analysis by Segment
9.2 Market Analysis by Vertical
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. Market Drivers
11.1 Economic & Business Drivers
11.2 Technology Drivers
11.3 Energy Efficiency & Environmental Drivers
11.4 Policy & Regulatory Drivers
12. Market Barriers
12.1 Knowledge & Skills
12.2 Cyber Security
12.3 Privacy
12.4 Implementation Cost & ROI
12.5 Data Challenges
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

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