Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global IoT in Smart Buildings Market by Type (Hardware, Software, Service), By Application (Commercial Real Estate, Private Construction, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global IoT in Smart Buildings Market by Type (Hardware, Software, Service), By Application (Commercial Real Estate, Private Construction, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 249564 4200 Service & Software 377 137 Pages 4.9 (42)
                                          

Market Overview:


The global IoT in smart buildings market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for energy-efficient and comfortable buildings, rising adoption of IoT in smart buildings, and growing awareness about the benefits of using IoT in smart buildings. The global IoT in smart buildings market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into hardware, software, and service. The hardware segment dominates this market owing to its wide applicability across different types ofsmart building applications such as lighting control systems, security & access control systems,, HVAC systems,, fire detection & alarm systems,, power management systems,, water leakage detection system,. On the basisof application,..


Global IoT in Smart Buildings Industry Outlook


Product Definition:


Internet of Things (IoT) is the network of physical objects or "things" embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data. IoT has the potential to connect billions of devices and create new opportunities for businesses, governments and individuals to improve their lives.


Energy Management: The ability to monitor energy consumption in real-time allows organizations to identify areas where they can save energy and money. For example, by monitoring how much power different parts of a building consume at different times of day, an organization can make changes such as turning off lights or adjusting air conditioning when it is not needed.


HVAC Control: Heating, ventilation and air conditioning (HVAC) systems account for a large proportion of the energy used in commercial buildings. By connecting HVAC systems to the internet, it is possible to control them remotely using smart phones or other devices. This allows organizations to save money by reducing energy consumption during periods when the building is not occupied or by optimizing cooling/heating schedules based on weather conditions outside.


Lighting Control: Lighting accounts for around 20%of total electricity use in commercial buildings so controlling lighting levels can result in significant savings on electricity bills . Connected lighting systems allow users to control light levels both individually and as groups , adjusting them according time-of-day , occupancy etc . This helps reduce wasted light , saves money on electricity bills ,and makes it easier comply with environmental regulations governing indoor lighting levels .


Security & Monitoring : With so many connected devices within a single building , security becomes an important issue . By connecting security cameras , motion detectors etc.


Hardware:


Hardware is the part of technology that can be seen and felt. It includes all the devices and tools which are used to build a system or machine. Hardware components in IoT in smart buildings market include sensors, actuators, controllers, networking devices etc., The main function of hardware is to provide interfaces between different software programs and enable data transfer between them.


IoT in Smart Building Market By Region:  North America (U.S.


Software:


Software is the invisible layer that enables communication between machines and people. It helps in managing data, delivering content, and enabling devices to work together. In other words, it is the set of instructions that allow a computer to interpret what should be done with various inputs received from the user.


Application Insights:


The commercial real estate segment accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. This can be attributed to growing urbanization, which has created a demand for connected buildings that offer enhanced security, energy management, and environmental control systems. Furthermore, an increase in the number of smart buildings across commercial real estate projects is anticipated to boost IoT adoption over the forecast period.


The private construction segment is projected to register significant growth over the forecast period owing to increasing government initiatives on building automation & control systems (AACS).


Regional Analysis:


The North American region dominated the market in 2017 and is expected to maintain its position over the forecast period. The growth can be attributed to increasing adoption of IoT-based services and devices, high disposable income, and growing demand for smart buildings. Moreover, presence of a large number of service providers in this region has led to increased availability of these solutions.


Asia Pacific is anticipated to witness significant growth over the forecast period owing to increasing deployment of sensors across various industries such as healthcare & life sciences, transportation & logistics, energy & utilities among others. Furthermore, rising investments by governments are encouraging industry players for developing new products that would enhance productivity while reducing costs associated with operations or maintenance activities at their respective facilities or assets thus leading towards improved business performance which would further drive demand for IoT-based solutions across all sectors including residential as well as commercial sectors thereby contributing towards regional market growth over the next eight years  (2030).


Growth Factors:


  • Increasing demand for energy-efficient and smart buildings
  • Growing awareness about the benefits of IoT in smart buildings
  • Proliferation of low-cost sensors and wireless connectivity technologies
  • Development of innovative applications and platforms for IoT in smart buildings
  • Rising demand for real-time data analytics and insights from building systems

Scope Of The Report

Report Attributes

Report Details

Report Title

IoT in Smart Buildings Market Research Report

By Type

Hardware, Software, Service

By Application

Commercial Real Estate, Private Construction, Others

By Companies

Intel, Microsoft, IBM, Siemens, Bosch, T-Mobile, ABB, Legrand, Johnson Controls, Schneider Electric, Intellias, Telit, IGOR INC, Banyan Hills Technologies, Huawei

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

137

Number of Tables & Figures

96

Customization Available

Yes, the report can be customized as per your need.


Global IoT in Smart Buildings Market Report Segments:

The global IoT in Smart Buildings market is segmented on the basis of:

Types

Hardware, Software, Service

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

Commercial Real Estate, Private Construction, Others

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. Intel
  2. Microsoft
  3. IBM
  4. Siemens
  5. Bosch
  6. T-Mobile
  7. ABB
  8. Legrand
  9. Johnson Controls
  10. Schneider Electric
  11. Intellias
  12. Telit
  13. IGOR INC
  14. Banyan Hills Technologies
  15. Huawei

Global IoT in Smart Buildings Market Overview


Highlights of The IoT in Smart Buildings Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Hardware
    2. Software
    3. Service
  1. By Application:

    1. Commercial Real Estate
    2. Private Construction
    3. Others
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the IoT in Smart Buildings Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

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Global IoT in Smart Buildings Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


IoT in Smart Buildings refers to the use of sensors and other devices to collect data about building operations, energy consumption, and occupant behavior. This information can then be used to improve the efficiency of buildings and manage security risks.

Some of the major companies in the iot in smart buildings market are Intel, Microsoft, IBM, Siemens, Bosch, T-Mobile, ABB, Legrand, Johnson Controls, Schneider Electric, Intellias, Telit, IGOR INC, Banyan Hills Technologies, Huawei.

The iot in smart buildings market is expected to grow at a compound annual growth rate of 16.5%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 IoT in Smart Buildings Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 IoT in Smart Buildings Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 IoT in Smart Buildings Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the IoT in Smart Buildings Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global IoT in Smart Buildings Market Size & Forecast, 2018-2028       4.5.1 IoT in Smart Buildings Market Size and Y-o-Y Growth       4.5.2 IoT in Smart Buildings Market Absolute $ Opportunity

Chapter 5 Global IoT in Smart Buildings Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2 IoT in Smart Buildings Market Size Forecast by Type
      5.2.1 Hardware
      5.2.2 Software
      5.2.3 Service
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global IoT in Smart Buildings Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2 IoT in Smart Buildings Market Size Forecast by Applications
      6.2.1 Commercial Real Estate
      6.2.2 Private Construction
      6.2.3 Others
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global IoT in Smart Buildings Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 IoT in Smart Buildings Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America IoT in Smart Buildings Analysis and Forecast
   9.1 Introduction
   9.2 North America IoT in Smart Buildings Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America IoT in Smart Buildings Market Size Forecast by Type
      9.6.1 Hardware
      9.6.2 Software
      9.6.3 Service
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America IoT in Smart Buildings Market Size Forecast by Applications
      9.10.1 Commercial Real Estate
      9.10.2 Private Construction
      9.10.3 Others
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe IoT in Smart Buildings Analysis and Forecast
   10.1 Introduction
   10.2 Europe IoT in Smart Buildings Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe IoT in Smart Buildings Market Size Forecast by Type
      10.6.1 Hardware
      10.6.2 Software
      10.6.3 Service
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe IoT in Smart Buildings Market Size Forecast by Applications
      10.10.1 Commercial Real Estate
      10.10.2 Private Construction
      10.10.3 Others
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific IoT in Smart Buildings Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific IoT in Smart Buildings Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific IoT in Smart Buildings Market Size Forecast by Type
      11.6.1 Hardware
      11.6.2 Software
      11.6.3 Service
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific IoT in Smart Buildings Market Size Forecast by Applications
      11.10.1 Commercial Real Estate
      11.10.2 Private Construction
      11.10.3 Others
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America IoT in Smart Buildings Analysis and Forecast
   12.1 Introduction
   12.2 Latin America IoT in Smart Buildings Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America IoT in Smart Buildings Market Size Forecast by Type
      12.6.1 Hardware
      12.6.2 Software
      12.6.3 Service
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America IoT in Smart Buildings Market Size Forecast by Applications
      12.10.1 Commercial Real Estate
      12.10.2 Private Construction
      12.10.3 Others
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA) IoT in Smart Buildings Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) IoT in Smart Buildings Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA) IoT in Smart Buildings Market Size Forecast by Type
      13.6.1 Hardware
      13.6.2 Software
      13.6.3 Service
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA) IoT in Smart Buildings Market Size Forecast by Applications
      13.10.1 Commercial Real Estate
      13.10.2 Private Construction
      13.10.3 Others
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 IoT in Smart Buildings Market: Competitive Dashboard
   14.2 Global IoT in Smart Buildings Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 Intel
      14.3.2 Microsoft
      14.3.3 IBM
      14.3.4 Siemens
      14.3.5 Bosch
      14.3.6 T-Mobile
      14.3.7 ABB
      14.3.8 Legrand
      14.3.9 Johnson Controls
      14.3.10 Schneider Electric
      14.3.11 Intellias
      14.3.12 Telit
      14.3.13 IGOR INC
      14.3.14 Banyan Hills Technologies
      14.3.15 Huawei

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