Autonomous Buildings - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509248344

Publication Date:

September 26, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Autonomous Buildings (AB) creates arbitrage in real estate quickly extracting the higher cash values of automated vs. traditional buildings. AB is a turnkey operator of commercial and multi-family real estate that creates value automating infrastructure and reducing expenses.
The global market for Autonomous Buildings was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Autonomous Buildings was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Autonomous Buildings was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Autonomous Buildings was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Autonomous Buildings include Cisco, Siemens, Schneider Electric, Legrand, Nemetschek, IBM, Leica Geosystems, HUAWEI and Ericsson, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Autonomous Buildings, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Autonomous Buildings by region & country, by Type, and by Application.
The Autonomous Buildings market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Autonomous Buildings.
Market Segmentation
By Company
Cisco
Siemens
Schneider Electric
Legrand
Nemetschek
IBM
Leica Geosystems
HUAWEI
Ericsson
Segment by Type:
Semi-Autonomous Buildings
Fully Autonomous Buildings
Segment by Application
Commercial
Residential
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Autonomous Buildings manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Autonomous Buildings in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Autonomous Buildings in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 Market Overview
1.1 Autonomous Buildings Product Introduction
1.2 Global Autonomous Buildings Market Size Forecast
1.3 Autonomous Buildings Market Trends & Drivers
1.3.1 Autonomous Buildings Industry Trends
1.3.2 Autonomous Buildings Market Drivers & Opportunity
1.3.3 Autonomous Buildings Market Challenges
1.3.4 Autonomous Buildings Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Autonomous Buildings Players Revenue Ranking (2023)
2.2 Global Autonomous Buildings Revenue by Company (2019-2024)
2.3 Key Companies Autonomous Buildings Manufacturing Base Distribution and Headquarters
2.4 Key Companies Autonomous Buildings Product Offered
2.5 Key Companies Time to Begin Mass Production of Autonomous Buildings
2.6 Autonomous Buildings Market Competitive Analysis
2.6.1 Autonomous Buildings Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Autonomous Buildings Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Autonomous Buildings as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Semi-Autonomous Buildings
3.1.2 Fully Autonomous Buildings
3.2 Global Autonomous Buildings Sales Value by Type
3.2.1 Global Autonomous Buildings Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Autonomous Buildings Sales Value, by Type (2019-2030)
3.2.3 Global Autonomous Buildings Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Commercial
4.1.2 Residential
4.2 Global Autonomous Buildings Sales Value by Application
4.2.1 Global Autonomous Buildings Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Autonomous Buildings Sales Value, by Application (2019-2030)
4.2.3 Global Autonomous Buildings Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Autonomous Buildings Sales Value by Region
5.1.1 Global Autonomous Buildings Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Autonomous Buildings Sales Value by Region (2019-2024)
5.1.3 Global Autonomous Buildings Sales Value by Region (2025-2030)
5.1.4 Global Autonomous Buildings Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Autonomous Buildings Sales Value, 2019-2030
5.2.2 North America Autonomous Buildings Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Autonomous Buildings Sales Value, 2019-2030
5.3.2 Europe Autonomous Buildings Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Autonomous Buildings Sales Value, 2019-2030
5.4.2 Asia Pacific Autonomous Buildings Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Autonomous Buildings Sales Value, 2019-2030
5.5.2 South America Autonomous Buildings Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Autonomous Buildings Sales Value, 2019-2030
5.6.2 Middle East & Africa Autonomous Buildings Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Autonomous Buildings Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Autonomous Buildings Sales Value
6.3 United States
6.3.1 United States Autonomous Buildings Sales Value, 2019-2030
6.3.2 United States Autonomous Buildings Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Autonomous Buildings Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Autonomous Buildings Sales Value, 2019-2030
6.4.2 Europe Autonomous Buildings Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Autonomous Buildings Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Autonomous Buildings Sales Value, 2019-2030
6.5.2 China Autonomous Buildings Sales Value by Type (%), 2023 VS 2030
6.5.3 China Autonomous Buildings Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Autonomous Buildings Sales Value, 2019-2030
6.6.2 Japan Autonomous Buildings Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Autonomous Buildings Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Autonomous Buildings Sales Value, 2019-2030
6.7.2 South Korea Autonomous Buildings Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Autonomous Buildings Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Autonomous Buildings Sales Value, 2019-2030
6.8.2 Southeast Asia Autonomous Buildings Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Autonomous Buildings Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Autonomous Buildings Sales Value, 2019-2030
6.9.2 India Autonomous Buildings Sales Value by Type (%), 2023 VS 2030
6.9.3 India Autonomous Buildings Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Cisco
7.1.1 Cisco Profile
7.1.2 Cisco Main Business
7.1.3 Cisco Autonomous Buildings Products, Services and Solutions
7.1.4 Cisco Autonomous Buildings Revenue (US$ Million) & (2019-2024)
7.1.5 Cisco Recent Developments
7.2 Siemens
7.2.1 Siemens Profile
7.2.2 Siemens Main Business
7.2.3 Siemens Autonomous Buildings Products, Services and Solutions
7.2.4 Siemens Autonomous Buildings Revenue (US$ Million) & (2019-2024)
7.2.5 Siemens Recent Developments
7.3 Schneider Electric
7.3.1 Schneider Electric Profile
7.3.2 Schneider Electric Main Business
7.3.3 Schneider Electric Autonomous Buildings Products, Services and Solutions
7.3.4 Schneider Electric Autonomous Buildings Revenue (US$ Million) & (2019-2024)
7.3.5 Legrand Recent Developments
7.4 Legrand
7.4.1 Legrand Profile
7.4.2 Legrand Main Business
7.4.3 Legrand Autonomous Buildings Products, Services and Solutions
7.4.4 Legrand Autonomous Buildings Revenue (US$ Million) & (2019-2024)
7.4.5 Legrand Recent Developments
7.5 Nemetschek
7.5.1 Nemetschek Profile
7.5.2 Nemetschek Main Business
7.5.3 Nemetschek Autonomous Buildings Products, Services and Solutions
7.5.4 Nemetschek Autonomous Buildings Revenue (US$ Million) & (2019-2024)
7.5.5 Nemetschek Recent Developments
7.6 IBM
7.6.1 IBM Profile
7.6.2 IBM Main Business
7.6.3 IBM Autonomous Buildings Products, Services and Solutions
7.6.4 IBM Autonomous Buildings Revenue (US$ Million) & (2019-2024)
7.6.5 IBM Recent Developments
7.7 Leica Geosystems
7.7.1 Leica Geosystems Profile
7.7.2 Leica Geosystems Main Business
7.7.3 Leica Geosystems Autonomous Buildings Products, Services and Solutions
7.7.4 Leica Geosystems Autonomous Buildings Revenue (US$ Million) & (2019-2024)
7.7.5 Leica Geosystems Recent Developments
7.8 HUAWEI
7.8.1 HUAWEI Profile
7.8.2 HUAWEI Main Business
7.8.3 HUAWEI Autonomous Buildings Products, Services and Solutions
7.8.4 HUAWEI Autonomous Buildings Revenue (US$ Million) & (2019-2024)
7.8.5 HUAWEI Recent Developments
7.9 Ericsson
7.9.1 Ericsson Profile
7.9.2 Ericsson Main Business
7.9.3 Ericsson Autonomous Buildings Products, Services and Solutions
7.9.4 Ericsson Autonomous Buildings Revenue (US$ Million) & (2019-2024)
7.9.5 Ericsson Recent Developments
8 Industry Chain Analysis
8.1 Autonomous Buildings Industrial Chain
8.2 Autonomous Buildings Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Autonomous Buildings Sales Model
8.5.2 Sales Channel
8.5.3 Autonomous Buildings Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Cisco
Siemens
Schneider Electric
Legrand
Nemetschek
IBM
Leica Geosystems
HUAWEI
Ericsson

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