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Global Smart Infrastructure Market to reach USD 656.78 billion by the end of 2030.

Global Smart Infrastructure Market Size study & Forecast, by Type (Smart Grid, Smart Water Network, Intelligent Transportation Network, Intelligent Buildings, Others), by End-user (Utility, Transport, Communications, The Built Environment) and Regional Analysis, 2023-2030

Product Code: OIRBC-60520062
Publish Date: 30-10-2023
Page: 200

Global Smart Infrastructure Market is valued at approximately USD 119.03 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 23.80% over the forecast period 2023-2030. Smart infrastructure refers to the integration of advanced technologies and digital connectivity into traditional infrastructure systems to enhance their efficiency, sustainability, and overall functionality. The goal of smart infrastructure is to use data and technology to make cities and other built environments more intelligent, responsive, and user-friendly. This approach helps to address various challenges faced by modern urban areas, such as population growth, resource management, and environmental concerns. The Smart Infrastructure market is expanding because of factors such as the rising implementation of telecommunication networks, increasing focus on sustainability & switching to green energy resources.

Telecommunication networks play a crucial role in enabling the connectivity and communication required for smart infrastructure. The implementation of telecommunication networks provides the connectivity, data transmission, and communication capabilities necessary for the growth and development of smart infrastructure. It enables the integration of diverse systems, enhances efficiency, and unlocks the potential for innovative applications in areas such as transportation, energy, water management, and public services. Thus, the rising implementation of telecommunication networks is driving market growth. For instance, In May 2021, Mavenir collaborated with Cisco Systems and National Telecom Public Company Limited (NTI) to develop the networks of the future using cloud-native, open architecture software, making Ban Chang the first fully operational 5G-based smart city in Thailand. Also, The U.S. Environmental Protection Agency (EPA) is developing clean energy strategies for the year 2022-2026, and putting distribution networks, smart grids, and other things into place that are significantly reducing carbon emissions. Such initiatives are driving market growth. In addition, increasing technological advancement in smart grid technology and rising government investment are creating new opportunities for market growth. However, cyber security threats and privacy concerns over telecommunication technology hamper the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Smart Infrastructure Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to factors such as the increasing adoption of new technologies and solutions, rising government initiatives by promoting the adoption of green energy technologies, and rising development of new norms and policies in the region. Whereas, Europe is projected to grow at a significant rate owing to factors such as rising government investment in the development of smart communication networks, rising implementation of smart technologies and surging urbanization in the region.

Major market player included in this report are:
International Business Machine Corporation
Siemens AG
Schneider Electric SE
Cisco Systems, Inc.
Hitachi Ltd.
General Electric Company (GE)
Honeywell International Inc.
ABB Ltd.
Huawei Technologies Co., Ltd.
Johnson Controls International plc

Recent Developments in the Market:
Ø In June 2021, Cityzenith joined the Digital Twin Consortium by creating the SmartWorldOS software platform. This platform creates virtual representations of structures, towns, and other infrastructure to detect, monitor, and optimize carbon emissions while reducing environmental harm.
Ø In May 2021, Roco Group, the global leader in bathroom design, production, and commercialization, and Schneider Electric reached an agreement to develop a roadmap for decarbonization. The agreement is divided into three stages: The Roco Group would define the vision and examine the current situation in the first phase. The Roco Group plant would be examined by Schneider Electric during the second phase to establish commitments for energy reduction and build a sustainable energy-producing unit. The organisations plan to advance the digitization of their internal processes and improve energy management in the final phase.

Global Smart Infrastructure Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, End-user, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential 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 Type:
Smart Grid
Smart Water Network
Intelligent Transportation Network
Intelligent Buildings

By End-user:
The Built Environment

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Smart Infrastructure Market, by Region, 2020-2030 (USD Billion)
1.2.2. Smart Infrastructure Market, by Type, 2020-2030 (USD Billion)
1.2.3. Smart Infrastructure Market, by End-user, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Smart Infrastructure 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. Global Smart Infrastructure Market Dynamics
3.1. Smart Infrastructure Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising implementation of telecommunication networks increasing focus on adoption of sustainability solutions Switching to green energy resources
3.1.2. Market Challenges Increasing cyber security threats Privacy concerns over telecommunication technology
3.1.3. Market Opportunities Increasing Rising technological advancement in smart grid technology Rising government investment
Chapter 4. Global Smart Infrastructure Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Smart Infrastructure Market, by Type
5.1. Market Snapshot
5.2. Global Smart Infrastructure Market by Type, Performance – Potential Analysis
5.3. Global Smart Infrastructure Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Smart Infrastructure Market, Sub Segment Analysis
5.4.1. Smart Grid
5.4.2. Smart Water Network
5.4.3. Intelligent Transportation Network
5.4.4. Intelligent Buildings
5.4.5. Others
Chapter 6. Global Smart Infrastructure Market, by End-user
6.1. Market Snapshot
6.2. Global Smart Infrastructure Market by End-user, Performance – Potential Analysis
6.3. Global Smart Infrastructure Market Estimates & Forecasts by End-user 2020-2030 (USD Billion)
6.4. Smart Infrastructure Market, Sub Segment Analysis
6.4.1. Utility
6.4.2. Transport
6.4.3. Communications
6.4.4. The Built Environment
Chapter 7. Global Smart Infrastructure Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Smart Infrastructure Market, Regional Market Snapshot
7.4. North America Smart Infrastructure Market
7.4.1. U.S. Smart Infrastructure Market Type breakdown estimates & forecasts, 2020-2030 End-user breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Smart Infrastructure Market
7.5. Europe Smart Infrastructure Market Snapshot
7.5.1. U.K. Smart Infrastructure Market
7.5.2. Germany Smart Infrastructure Market
7.5.3. France Smart Infrastructure Market
7.5.4. Spain Smart Infrastructure Market
7.5.5. Italy Smart Infrastructure Market
7.5.6. Rest of Europe Smart Infrastructure Market
7.6. Asia-Pacific Smart Infrastructure Market Snapshot
7.6.1. China Smart Infrastructure Market
7.6.2. India Smart Infrastructure Market
7.6.3. Japan Smart Infrastructure Market
7.6.4. Australia Smart Infrastructure Market
7.6.5. South Korea Smart Infrastructure Market
7.6.6. Rest of Asia Pacific Smart Infrastructure Market
7.7. Latin America Smart Infrastructure Market Snapshot
7.7.1. Brazil Smart Infrastructure Market
7.7.2. Mexico Smart Infrastructure Market
7.8. Middle East & Africa Smart Infrastructure Market
7.8.1. Saudi Arabia Smart Infrastructure Market
7.8.2. South Africa Smart Infrastructure Market
7.8.3. Rest of Middle East & Africa Smart Infrastructure Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. International Business Machine Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.3.2. Siemens AG
8.3.3. Schneider Electric SE
8.3.4. Cisco Systems, Inc.
8.3.5. Hitachi Ltd.
8.3.6. General Electric Company (GE)
8.3.7. Honeywell International Inc.
8.3.8. ABB Ltd.
8.3.9. Huawei Technologies Co., Ltd.
8.3.10. Johnson Controls International PLC
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
9.2. Research Attributes
9.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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