Smart Building Market Rapid Growth of 33.8% with Revenue of $79 Billion & Rising Application Scope by 2025 | Top Players- IBM, Cisco, Siemens, Honeywell International, Delta Controls, Legrand, Schneider Electric

Orian Research recently published a latest research report titled ‘Global Smart Building Market 2019’ which provides a comprehensive review of this industry with respect to the driving forces influencing the industry. Comprising the current and future trends defining the dynamics of this industry vertical, this report also incorporates the regional landscape of Smart Building market in tandem with its competitive terrain.

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Smart Building Market is valued approximately USD 7.69 billion in 2017 and is anticipated to grow with a healthy growth rate of more than 33.8% over the forecast period 2018-2025. Growing awareness about energy efficiency is the major factor which is driving the growth in the Global Smart Building Market. Increase in use of energy has created a need to determine different ways to use energy wisely. Also, the growing number of commercial buildings that require a high amount of energy has resulted in an increased requirement for these systems. However, high initial expenses associated with the implementation of smart building systems affect the market negatively.

The leading Market players mainly include-
• IBM
• Cisco
• Siemens
• Honeywell International
• Delta Controls
• Legrand
• Schneider Electric
• Johnson Controls
• United Technologies Corporation
• BuildingIQ

Smart building is basically an infrastructure in which the operations of heating, ventilation, lighting, security, and air conditioning etc. are controlled by automated systems. These systems continuously collect the data within the building and manage the functions and services accordingly. The deployment of such systems in a building enhance the security, reliability, and performance of the equipment, which in turn reduces the energy consumption and also minimizes the impacts of the building on the environment. Due to these benefits, the demand for smart buildings is growing in the global market. Moreover, initiatives taken by governments of various countries such as smart buildings projects, are expected to boost the smart building market over the forecast period. Besides this, ongoing smart city projects in both developed and developing economies represent significant growth opportunities for the market in the coming future.

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Key areas considered for regional analysis of market includes Asia Pacific, North America, Europe, Latin America and Rest of the World. Asia-Pacific is estimated to hold a prominent share of the Smart Building market. Developing countries, such as India and China, are significant players boosting the demand for the Smart Building Market. Europe, North America and the Middle East and Africa are continuously witnessing infrastructural growth which is fueling the demand of Smart Building Market over the coming years. Asia Pacific region is contributing towards the growth of global Smart Building Market and anticipated to exhibit higher growth rate / CAGR over the forecast period 2019-2025.

The objective of the study is to define market size of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Software Type:

 Intelligent Security System
 Building Energy Management System
 Infrastructure Management System
 Network Management System

By Building Type:

 Residential Buildings
 Commercial Buildings
 Educational Institutions
 Government & Public Infrastructure Facilities
 Others

Target Audience of the Smart Building Market in Market Study:

 Key Consulting Companies & Advisors
 Large, medium-sized, and small enterprises
 Venture capitalists
 Value-Added Resellers (VARs)
 Third-party knowledge providers
 Investment bankers
 Investors

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There are Chapters to thoroughly display the Smart Building Market. This report included the analysis of market overview, market characteristics, industry chain, competition landscape, historical and future data by types, applications and regions.

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Key Trends
1.3. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)
1.3.1. Smart Building, by Software Type, 2015-2025 (USD Billion)
1.3.2. Smart Building, by Building Type, 2015-2025 (USD Billion)
1.3.3. Smart Building, by Region, 2015-2025 (USD Billion)
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Smart Building Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Smart Building Market Dynamics
3.1. See Saw Analysis
3.1.1. Market Drivers
3.1.2. Market Challenges
3.1.3. Market Opportunities
Chapter 4. Smart Building Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Buyers
4.1.2. Bargaining Power of Suppliers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model
4.2. PEST Analysis
4.2.1. Political Scenario
4.2.2. Economic Scenario
4.2.3. Social Scenario
4.2.4. Technological Scenario
4.3. Value Chain Analysis
4.3.1. Supplier
4.3.2. Manufacturers/Service Provider
4.3.3. Distributors
4.3.4. End-Users
4.4. Key Buying Criteria
4.5. Regulatory Framework
4.6. Cost Structure Analysis
4.6.1. Raw Material Cost Analysis
4.6.2. Manufacturing Cost Analysis
4.6.3. Labour Cost Analysis
4.7. Investment Vs Adoption Scenario
4.8. Analyst Recommendation & Conclusion

Chapter 5. Smart Building, by Software Type
5.1. Market Snapshot
5.2. Market Performance - Potential Model
5.3. Key Market Players
5.4. Smart Building, Sub Segment Analysis
5.4.1. Intelligent Security System
5.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.2. Building Energy Management System
5.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.3. Infrastructure Management System
5.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
5.4.4. Network Management System
5.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
5.4.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 6. Smart Building, by Building Type
6.1. Market Snapshot
6.2. Market Performance - Potential Model
6.3. Key Market Players
6.4. Smart Building, Sub Segment Analysis
6.4.1. Residential Buildings
6.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.2. Commercial Buildings
6.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.3. Educational Institutions
6.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.4. Government & Public Infrastructure Facilities
6.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.4.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)
6.4.5. Others
6.4.5.1. Market estimates & forecasts, 2015-2025 (USD Billion)
6.4.5.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 7. Smart Building, by Regional Analysis

Chapter 8. Competitive Intelligence

Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.1.6. Research Assumption

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