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Global Smart Meters Market to reach USD XX million by 2028.

Global Smart Meters Market Size study, By Type (Electric, Gas, Water), By Component (Hardware, Software), By Technology (AMI, AMR), By End-User (Residential, Commercial, Industrial), and Regional Forecasts 2022-2028

Product Code: ENGE-47305091
Publish Date: 25-05-2022
Page: 200

Global Smart Meters Market is valued at approximately USDXX million in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2028. A smart meter is an electronic device that keeps track of data like electric energy use, voltage levels, power factor, and current. These meters help in transmitting data to consumers for a better understanding of their consumption patterns and to power suppliers for system monitoring and customer billing. The increasing need to monitor energy consumption to achieve carbon neutrality, rising investments in smart grid projects, and growth in smart city deployment are the several factors fostering the market demand across the globe. For instance, as per the India Smart Grid Forum, the Government of India proclaimed to allocate around USD 129.9 million under the National Smart Grid Mission (NSGM) for transforming the nation’s power infrastructure by constructing smart grids across smart cities in India, with additional budgetary support of around US$ 44.8 million. Thereby, rising investments in the smart grid are influencing market growth in the impending years. However, high setup and operational costs for utility suppliers to switch from traditional to smart meters and rising dependency on reliable connections between smart meters and smart grid devices to achieve highly accurate data impede the growth of the market over the forecast period of 2022-2028. Also, integration of artificial intelligence (AI) and machine learning (ML) technologies into smart meters, along with growing adoption of electric and hybrid vehicles by consumers are anticipated to act as catalyzing factors for the market demand during the forecast period.

The key regions considered for the global Smart Meters Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the growing adoption of renewable sources of energy and rising need to monitor energy consumption to achieve carbon neutrality. Whereas, Asia-Pacific is anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as the increasing smart grid investments, as well as governments mandates for digitization of grid networks, would create lucrative growth prospects for the Smart Meters Market across the Asia-Pacific region.

Major market players included in this report are:
Schneider Electric
Landis+Gyr
Itron
Siemens
Wasion Group
Badger Meter Inc.
Elster Group GmbH
Sensus
Osaki Electric Co.
Arad Group

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 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 Types of key players. The detailed segments and sub-segment of the market are explained below:
By Type:
Electric
Gas
Water
By Component:
Hardware
Software
By Technology:
AMI
AMR
By End-User:
Residential
Commercial
Industrial
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Smart Meters 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

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Million)
1.2.1. Smart Meters Market, by Region, 2020-2028 (USD Million)
1.2.2. Smart Meters Market, by Type, 2020-2028 (USD Million)
1.2.3. Smart Meters Market, by Component, 2020-2028 (USD Million)
1.2.4. Smart Meters Market, by Technology, 2020-2028 (USD Million)
1.2.5. Smart Meters Market, by End-User, 2020-2028 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Smart Meters Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Smart Meters Market Dynamics
3.1. Smart Meters Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Increasing need to monitor energy consumption to achieve carbon neutrality
3.1.1.2. Rising investments in smart grid projects
3.1.1.3. Growth in smart city deployment
3.1.2. Market Challenges
3.1.2.1. High setup and operational costs for utility suppliers to switch from traditional to smart meters
3.1.2.2. Rising dependency on reliable connections between smart meters and smart grid devices to achieve highly accurate data
3.1.3. Market Opportunities
3.1.3.1. Integration of artificial intelligence (AI) and machine learning (ML) technologies into smart meters
3.1.3.2. Growing adoption of electric and hybrid vehicles by consumers
Chapter 4. Global Smart Meters 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
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Smart Meters Market, by Type
6.1. Market Snapshot
6.2. Global Smart Meters Market by Type, Performance – Potential Analysis
6.3. Global Smart Meters Market Estimates & Forecasts by Type, 2018-2028 (USD Million)
6.4. Smart Meters Market, Sub Segment Analysis
6.4.1. Electric
6.4.2. Gas
6.4.3. Water
Chapter 7. Global Smart Meters Market, by Component
7.1. Market Snapshot
7.2. Global Smart Meters Market by Component, Performance – Potential Analysis
7.3. Global Smart Meters Market Estimates & Forecasts by Component, 2018-2028 (USD Million)
7.4. Smart Meters Market, Sub Segment Analysis
7.4.1. Hardware
7.4.2. Software
Chapter 8. Global Smart Meters Market, by Technology
8.1. Market Snapshot
8.2. Global Smart Meters Market by Technology, Performance – Potential Analysis
8.3. Global Smart Meters Market Estimates & Forecasts by Technology, 2018-2028 (USD Million)
8.4. Smart Meters Market, Sub Segment Analysis
8.4.1. AMI
8.4.2. AMR
Chapter 9. Global Smart Meters Market, by End-User
9.1. Market Snapshot
9.2. Global Smart Meters Market by End-User, Performance – Potential Analysis
9.3. Global Smart Meters Market Estimates & Forecasts by End-User, 2018-2028 (USD Million)
9.4. Smart Meters Market, Sub Segment Analysis
9.4.1. Residential
9.4.2. Commercial
9.4.3. Industrial
Chapter 10. Global Smart Meters Market, Regional Analysis
10.1. Smart Meters Market, Regional Market Snapshot
10.2. North America Smart Meters Market
10.2.1. U.S. Smart Meters Market
10.2.1.1. Type breakdown estimates & forecasts, 2018-2028
10.2.1.2. Component breakdown estimates & forecasts, 2018-2028
10.2.1.3. Technology breakdown estimates & forecasts, 2018-2028
10.2.1.4. End-User breakdown estimates & forecasts, 2018-2028
10.2.2. Canada Smart Meters Market
10.3. Europe Smart Meters Market Snapshot
10.3.1. U.K. Smart Meters Market
10.3.2. Germany Smart Meters Market
10.3.3. France Smart Meters Market
10.3.4. Spain Smart Meters Market
10.3.5. Italy Smart Meters Market
10.3.6. Rest of Europe Smart Meters Market
10.4. Asia-Pacific Smart Meters Market Snapshot
10.4.1. China Smart Meters Market
10.4.2. India Smart Meters Market
10.4.3. Japan Smart Meters Market
10.4.4. Australia Smart Meters Market
10.4.5. South Korea Smart Meters Market
10.4.6. Rest of Asia Pacific Smart Meters Market
10.5. Latin America Smart Meters Market Snapshot
10.5.1. Brazil Smart Meters Market
10.5.2. Mexico Smart Meters Market
10.6. Rest of The World Smart Meters Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Schneider Electric
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. Landis+Gyr
11.2.3. Itron
11.2.4. Siemens
11.2.5. Wasion Group
11.2.6. Badger Meter Inc.
11.2.7. Elster Group GmbH
11.2.8. Sensus
11.2.9. Osaki Electric Co.
11.2.10. Arad Group
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. 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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