Smart Grid Data Analytics Market: Global Industry Analysis 2017-2021 and Opportunity Assessment 2022-2032
A recent market study published by FMI on Smart Grid Data Analytics offers a global industry analysis for 2017-2021 and opportunity assessment for 2022-2032. The study offers a comprehensive assessment of the most important market dynamics. After conducting thorough research on the historical and current growth parameters, the growth prospects of the market are obtained with maximum precision.
Market Segmentation
By Component:
- Smart Grid Data Analytics Solution
- AMI Analytics
- Demand Response Analytics
- Grid Optimization
- Asset Management
- Others
- Smart Grid Data Analytics Services
- Professional Services
- Managed Services
- On-premises Smart Grid Data Analytics
- Cloud-based Smart Grid Data Analytics
- Hybrid
- Large enterprises
- Small and Medium-sized Enterprises
- Public Sector
- Specialized Solutions
- CRM
- Billing
- Customer Care
- Business Intelligence
- Others
- Generalized Solutions
- CRM
- Billing
- Customer Care
- Business Intelligence
- Others
- North America
- Europe
- Asia Pacific
- Middle East and Africa
- Latin America
Executive Summary
The executive summary of the Smart Grid Data Analytics Market includes the global market outlook, demand side trends, supply side trends and also include FMI analysis and recommendations of Smart Grid Data Analytics.
Chapter 01 - Market Overview
Readers can find the detailed segmentation and definition of the Smart Grid Data Analytics Market in this chapter, which will help to understand basic information about Smart Grid Data Analytics. This section also highlights the market scope, taxonomy and limitations which help the reader understand the market coverage of Smart Grid Data Analytics Market report.
Chapter 02 - Market Background
This chapter includes detailed analysis of the By Nature processing methods overview, consumer buying patterns & tendencies and policy developments and regulatory scenario. It also includes in depth analysis of macro-economic factors and covers topics like global GDP growth outlook, global industry value added, personal consumption, expenditures, modern trade penetration and consumer price indices. The chapter also covers forecast factors - relevance & impact, value chain analysis and market dynamics (drivers, restraints and opportunities) to better understand the market.
Chapter 03 - Global Smart Grid Data Analytics Market Demand Analysis 2017-2021 and Forecast, 2022-2032
The chapter include historical market value (US$ XX Billion) analysis (2017-2021) and current and future market value (US$ XX Million) and volume (12.3%) projections (2022-2032). The projections are based on the Y-O-Y growth trend analysis and absolute $ opportunity analysis country of operation.
Chapter 04 - Global Smart Grid Data Analytics Market - Pricing Analysis
Based on By Nature, the pricing analysis chapter include Regional pricing analysis (USD/MT), global average pricing analysis benchmark, and key factors impacting the pricing.
Chapter 05 - Global Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032, By Component
Based on By Component, Smart Grid Data Analytics Market is segmented into Smart Grid Data Analytics Solution, AMI Analytics, Demand Response Analytics, Grid Optimization, Asset Management, Others, Smart Grid Data Analytics Services, Professional Services, Managed Services. This section also offers market attractiveness analysis based on By Component. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Component.
Chapter 06 - Global Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032, By Deployment Mode
Based on By Deployment Mode, Smart Grid Data Analytics Market is segmented into On-premises Smart Grid Data Analytics, Cloud-based Smart Grid Data Analytics, Hybrid. This section also offers market attractiveness analysis based on By Deployment Mode. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By Deployment Mode.
Chapter 07 - Global Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032, By End-user
Based on By End-user, Smart Grid Data Analytics Market is segmented into Large enterprises, Small and Medium-sized Enterprises, Public Sector. This section also offers market attractiveness analysis based on By End-user. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By End-user.
Chapter 08 - Global Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032, By IT Solution
Based on By IT Solution, Smart Grid Data Analytics Market is segmented into Specialized Solutions, CRM, Billing, Customer Care, Business Intelligence, Others, Generalized Solutions, CRM, Billing, Customer Care, Business Intelligence, Others. This section also offers market attractiveness analysis based on By IT Solution. Value forecast and Y-o-Y growth comparison will also be provided for above mentioned By IT Solution.
Chapter 09 - Global Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032, By Region
Based on By Region, Smart Grid Data Analytics Market is segmented into North America,Latin America,Europe,East Asia,South Asia & Pacific,Middle East & Africa. This section also offers market attractiveness analysis based on By Region. Readers can also find value forecast and Y-o-Y growth comparison for all above mentioned By Region.
Chapter 10 - North America Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of the Smart Grid Data Analytics in the North American Region, along with a country-wise assessment that includes the US and Canada. Readers can also find Regional trends, regulations, and market growth based on different segment and countries in the North America Region.
Chapter 11 - Latin America Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Smart Grid Data Analytics in the Latin America Region, along with a country-wise assessment that includes the Brazil, Mexico, Chile, Argentina, Peru and Rest of Latin America. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Smart Grid Data Analytics Market in the Latin America Region.
Chapter 12 - Europe Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Smart Grid Data Analytics in the European Region, along with a country-wise assessment that includes the Germany, Italy, France, U.K., Spain, Russia, Nordic, Benelux and Rest of Europe. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Smart Grid Data Analytics Market in the Regional market.
Chapter 13 - East Asia Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Smart Grid Data Analytics in the East Asia Region, along with a country-wise assessment that includes the China, Japan, and South Korea. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Smart Grid Data Analytics Market in the Regional market.
Chapter 14 - South Asia Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Smart Grid Data Analytics in the South Asia Region, along with a country-wise assessment that includes the India, Indonesia, Malaysia, Thailand, and Rest of South Asia. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Smart Grid Data Analytics Market in the Regional market.
Chapter 15 - Middle East and Africa Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032
This chapter includes a detailed analysis of the growth of Smart Grid Data Analytics in the MEA Region, along with a country-wise assessment that includes the GCC Countries, South Africa, North Africa, Turkey and Rest of MEA. Readers can find detailed information about several factors, such as the pricing analysis and Regional trends, which are impacting growth of the Smart Grid Data Analytics Market in the Regional market.
Chapter 16 - Key Countries Smart Grid Data Analytics Market Analysis 2017-2021 and Forecast 2022-2032
This chapter offers insights into how the Smart Grid Data Analytics Market is expected to grow in major countries globally.
Chapter 17 - Market Structure Analysis- Global Assessment
This chapter includes company dashboard, industry structure analysis by tier of companies, 2022E, company share analysis of top players, 2022E, and competition benchmarking- matrix.
Chapter 18 - Competition Deep Dive (Tentative List)
This chapter includes company overview, By Nature portfolio of companies, profitability by market segments, sales footprint, SWOT analysis and strategy overview of the companies being studied in the report. Some of the market players featured in the report are Accenture Plc., Capgemini S.A., Inc., Dell EMC, IBM Corporation, Oracle Corporation, Schneider Electric, Itron Inc., AES Ohio.
Chapter 19 - Assumptions and Acronyms
This chapter includes a list of acronyms and assumptions that provide a base to the information and statistics included in the Smart Grid Data Analytics report.
Chapter 20 - Research Methodology
This chapter helps readers understand the research methodology followed to obtain various conclusions, as well as important qualitative and quantitative information, on Smart Grid Data Analytics Market.
- 1. Executive Summary
- 1.1. Global Market Outlook
- 1.2. Demand-side Trends
- 1.3. Supply-side Trends
- 1.4. Technology Roadmap Analysis
- 1.5. Analysis and Recommendations
- 2. Market Overview
- 2.1. Market Coverage / Taxonomy
- 2.2. Market Definition / Scope / Limitations
- 3. Market Background
- 3.1. Market Dynamics
- 3.1.1. Drivers
- 3.1.2. Restraints
- 3.1.3. Opportunity
- 3.1.4. Trends
- 3.2. Scenario Forecast
- 3.2.1. Demand in Optimistic Scenario
- 3.2.2. Demand in Likely Scenario
- 3.2.3. Demand in Conservative Scenario
- 3.3. Opportunity Map Analysis
- 3.4. Investment Feasibility Matrix
- 3.5. PESTLE and Porter’s Analysis
- 3.6. Regulatory Landscape
- 3.6.1. By Key Regions
- 3.6.2. By Key Countries
- 4. Global Market Analysis 2017-2021 and Forecast, 2022-2032
- 4.1. Historical Market Size Value (US$ Mn) Analysis, 2017-2021
- 4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032
- 4.2.1. Y-o-Y Growth Trend Analysis
- 4.2.2. Absolute $ Opportunity Analysis
- 5. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Component
- 5.1. Introduction / Key Findings
- 5.2. Historical Market Size Value (US$ Mn) Analysis By Component, 2017-2021
- 5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Component, 2022-2032
- 5.3.1. Solution
- 5.3.1.1. AMI Analytics
- 5.3.1.2. Demand Response Analytics
- 5.3.1.3. Grid Optimization
- 5.3.1.4. Asset Management
- 5.3.1.5. Others
- 5.4. Y-o-Y Growth Trend Analysis By Component, 2017-2021
- 5.5. Absolute $ Opportunity Analysis By Component, 2022-2032
- 6. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Deployment Model
- 6.1. Introduction / Key Findings
- 6.2. Historical Market Size Value (US$ Mn) Analysis By Deployment Model, 2017-2021
- 6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Deployment Model, 2022-2032
- 6.3.1. On-premise
- 6.3.2. Cloud-based
- 6.3.3. Hybrid
- 6.4. Y-o-Y Growth Trend Analysis By Deployment Model, 2017-2021
- 6.5. Absolute $ Opportunity Analysis By Deployment Model, 2022-2032
- 7. Global Market Analysis 2017-2021 and Forecast 2022-2032, By End-User
- 7.1. Introduction / Key Findings
- 7.2. Historical Market Size Value (US$ Mn) Analysis By End-User, 2017-2021
- 7.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By End-User, 2022-2032
- 7.3.1. Small/ Medium Enterprises
- 7.3.2. Large Enterprises
- 7.3.3. Public Sector
- 7.4. Y-o-Y Growth Trend Analysis By End-User, 2017-2021
- 7.5. Absolute $ Opportunity Analysis By End-User, 2022-2032
- 8. Global Market Analysis 2017-2021 and Forecast 2022-2032, By IT Solution
- 8.1. Introduction / Key Findings
- 8.2. Historical Market Size Value (US$ Mn) Analysis By IT Solution, 2017-2021
- 8.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By IT Solution, 2022-2032
- 8.3.1. Specialized Solutions (for Back-end)
- 8.3.1.1. CRM
- 8.3.1.2. Billing
- 8.3.1.3. Customer Care
- 8.3.1.4. Business Intelligence
- 8.3.1.5. Others
- 8.3.2. Generalized Solutions (for Front-end)
- 8.3.2.1. CRM
- 8.3.2.2. Billing
- 8.3.2.3. Customer Care
- 8.3.2.4. Business Intelligence
- 8.3.2.5. Others
- 8.4. Y-o-Y Growth Trend Analysis By IT Solution, 2017-2021
- 8.5. Absolute $ Opportunity Analysis By IT Solution, 2022-2032
- 9. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Region
- 9.1. Introduction
- 9.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2017-2021
- 9.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032
- 9.3.1. North America
- 9.3.2. Latin America
- 9.3.3. Europe
- 9.3.4. Asia Pacific
- 9.3.5. MEA
- 9.4. Market Attractiveness Analysis By Region
- 10. North America Market Analysis 2017-2021 and Forecast 2022-2032, By Country
- 10.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
- 10.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
- 10.2.1. By Country
- 10.2.1.1. U.S.
- 10.2.1.2. Canada
- 10.2.2. By Component
- 10.2.3. By Deployment Model
- 10.2.4. By End-User
- 10.2.5. By IT Solution
- 10.3. Market Attractiveness Analysis
- 10.3.1. By Country
- 10.3.2. By Component
- 10.3.3. By Deployment Model
- 10.3.4. By End-User
- 10.3.5. By IT Solution
- 10.4. Key Takeaways
- 11. Latin America Market Analysis 2017-2021 and Forecast 2022-2032, By Country
- 11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
- 11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
- 11.2.1. By Country
- 11.2.1.1. Brazil
- 11.2.1.2. Mexico
- 11.2.1.3. Rest of Latin America
- 11.2.2. By Component
- 11.2.3. By Deployment Model
- 11.2.4. By End-User
- 11.2.5. By IT Solution
- 11.3. Market Attractiveness Analysis
- 11.3.1. By Country
- 11.3.2. By Component
- 11.3.3. By Deployment Model
- 11.3.4. By End-User
- 11.3.5. By IT Solution
- 11.4. Key Takeaways
- 12. Europe Market Analysis 2017-2021 and Forecast 2022-2032, By Country
- 12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
- 12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
- 12.2.1. By Country
- 12.2.1.1. Germany
- 12.2.1.2. Italy
- 12.2.1.3. France
- 12.2.1.4. U.K.
- 12.2.1.5. Spain
- 12.2.1.6. Russia
- 12.2.1.7. BENELUX
- 12.2.1.8. Rest of Europe
- 12.2.2. By Component
- 12.2.3. By Deployment Model
- 12.2.4. By End-User
- 12.2.5. By IT Solution
- 12.3. Market Attractiveness Analysis
- 12.3.1. By Country
- 12.3.2. By Component
- 12.3.3. By Deployment Model
- 12.3.4. By End-User
- 12.3.5. By IT Solution
- 12.4. Key Takeaways
- 13. Asia Pacific Market Analysis 2017-2021 and Forecast 2022-2032, By Country
- 13.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
- 13.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
- 13.2.1. By Country
- 13.2.1.1. China
- 13.2.1.2. Japan
- 13.2.1.3. South Korea
- 13.2.1.4. India
- 13.2.1.5. Rest of Asia Pacific
- 13.2.2. By Component
- 13.2.3. By Deployment Model
- 13.2.4. By End-User
- 13.2.5. By IT Solution
- 13.3. Market Attractiveness Analysis
- 13.3.1. By Country
- 13.3.2. By Component
- 13.3.3. By Deployment Model
- 13.3.4. By End-User
- 13.3.5. By IT Solution
- 13.4. Key Takeaways
- 14. MEA Market Analysis 2017-2021 and Forecast 2022-2032, By Country
- 14.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021
- 14.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032
- 14.2.1. By Country
- 14.2.1.1. GCC
- 14.2.1.2. Rest of MEA
- 14.2.2. By Component
- 14.2.3. By Deployment Model
- 14.2.4. By End-User
- 14.2.5. By IT Solution
- 14.3. Market Attractiveness Analysis
- 14.3.1. By Country
- 14.3.2. By Component
- 14.3.3. By Deployment Model
- 14.3.4. By End-User
- 14.3.5. By IT Solution
- 14.4. Key Takeaways
- 15. Key Countries Market Analysis
- 15.1. U.S.
- 15.1.1. Pricing Analysis
- 15.1.2. Market Share Analysis, 2021
- 15.1.2.1. By Component
- 15.1.2.2. By Deployment Model
- 15.1.2.3. By End-User
- 15.1.2.4. By IT Solution
- 15.2. Canada
- 15.2.1. Pricing Analysis
- 15.2.2. Market Share Analysis, 2021
- 15.2.2.1. By Component
- 15.2.2.2. By Deployment Model
- 15.2.2.3. By End-User
- 15.2.2.4. By IT Solution
- 15.3. Brazil
- 15.3.1. Pricing Analysis
- 15.3.2. Market Share Analysis, 2021
- 15.3.2.1. By Component
- 15.3.2.2. By Deployment Model
- 15.3.2.3. By End-User
- 15.3.2.4. By IT Solution
- 15.4. Mexico
- 15.4.1. Pricing Analysis
- 15.4.2. Market Share Analysis, 2021
- 15.4.2.1. By Component
- 15.4.2.2. By Deployment Model
- 15.4.2.3. By End-User
- 15.4.2.4. By IT Solution
- 15.5. Argentina
- 15.5.1. Pricing Analysis
- 15.5.2. Market Share Analysis, 2021
- 15.5.2.1. By Component
- 15.5.2.2. By Deployment Model
- 15.5.2.3. By End-User
- 15.5.2.4. By IT Solution
- 15.6. Germany
- 15.6.1. Pricing Analysis
- 15.6.2. Market Share Analysis, 2021
- 15.6.2.1. By Component
- 15.6.2.2. By Deployment Model
- 15.6.2.3. By End-User
- 15.6.2.4. By IT Solution
- 15.7. Italy
- 15.7.1. Pricing Analysis
- 15.7.2. Market Share Analysis, 2021
- 15.7.2.1. By Component
- 15.7.2.2. By Deployment Model
- 15.7.2.3. By End-User
- 15.7.2.4. By IT Solution
- 15.8. France
- 15.8.1. Pricing Analysis
- 15.8.2. Market Share Analysis, 2021
- 15.8.2.1. By Component
- 15.8.2.2. By Deployment Model
- 15.8.2.3. By End-User
- 15.8.2.4. By IT Solution
- 15.9. U.K.
- 15.9.1. Pricing Analysis
- 15.9.2. Market Share Analysis, 2021
- 15.9.2.1. By Component
- 15.9.2.2. By Deployment Model
- 15.9.2.3. By End-User
- 15.9.2.4. By IT Solution
- 15.10. Spain
- 15.10.1. Pricing Analysis
- 15.10.2. Market Share Analysis, 2021
- 15.10.2.1. By Component
- 15.10.2.2. By Deployment Model
- 15.10.2.3. By End-User
- 15.10.2.4. By IT Solution
- 15.11. Russia
- 15.11.1. Pricing Analysis
- 15.11.2. Market Share Analysis, 2021
- 15.11.2.1. By Component
- 15.11.2.2. By Deployment Model
- 15.11.2.3. By End-User
- 15.11.2.4. By IT Solution
- 15.12. BENELUX
- 15.12.1. Pricing Analysis
- 15.12.2. Market Share Analysis, 2021
- 15.12.2.1. By Component
- 15.12.2.2. By Deployment Model
- 15.12.2.3. By End-User
- 15.12.2.4. By IT Solution
- 15.13. China
- 15.13.1. Pricing Analysis
- 15.13.2. Market Share Analysis, 2021
- 15.13.2.1. By Component
- 15.13.2.2. By Deployment Model
- 15.13.2.3. By End-User
- 15.13.2.4. By IT Solution
- 15.14. Japan
- 15.14.1. Pricing Analysis
- 15.14.2. Market Share Analysis, 2021
- 15.14.2.1. By Component
- 15.14.2.2. By Deployment Model
- 15.14.2.3. By End-User
- 15.14.2.4. By IT Solution
- 15.15. South Korea
- 15.15.1. Pricing Analysis
- 15.15.2. Market Share Analysis, 2021
- 15.15.2.1. By Component
- 15.15.2.2. By Deployment Model
- 15.15.2.3. By End-User
- 15.15.2.4. By IT Solution
- 15.16. India
- 15.16.1. Pricing Analysis
- 15.16.2. Market Share Analysis, 2021
- 15.16.2.1. By Component
- 15.16.2.2. By Deployment Model
- 15.16.2.3. By End-User
- 15.16.2.4. By IT Solution
- 15.17. GCC Countries
- 15.17.1. Pricing Analysis
- 15.17.2. Market Share Analysis, 2021
- 15.17.2.1. By Component
- 15.17.2.2. By Deployment Model
- 15.17.2.3. By End-User
- 15.17.2.4. By IT Solution
- 16. Market Structure Analysis
- 16.1. Competition Dashboard
- 16.2. Competition Benchmarking
- 16.3. Market Share Analysis of Top Players
- 16.3.1. By Regional
- 16.3.2. By Component
- 16.3.3. By Deployment Model
- 16.3.4. By End-User
- 16.3.5. By IT Solution
- 17. Competition Analysis
- 17.1. Competition Deep Dive
- 17.1.1. Accenture, Plc.
- 17.1.1.1. Overview
- 17.1.1.2. Product Portfolio
- 17.1.1.3. Profitability by Market Segment
- 17.1.1.4. Sales Footprint
- 17.1.1.5. Strategy Overview
- 17.1.1.5.1. Marketing Strategy
- 17.1.2. Capgemini S.A., Inc.
- 17.1.2.1. Overview
- 17.1.2.2. Product Portfolio
- 17.1.2.3. Profitability by Market Segment
- 17.1.2.4. Sales Footprint
- 17.1.2.5. Strategy Overview
- 17.1.2.5.1. Marketing Strategy
- 17.1.3. Dell EMC
- 17.1.3.1. Overview
- 17.1.3.2. Product Portfolio
- 17.1.3.3. Profitability by Market Segment
- 17.1.3.4. Sales Footprint
- 17.1.3.5. Strategy Overview
- 17.1.3.5.1. Marketing Strategy
- 17.1.4. IBM Corporation
- 17.1.4.1. Overview
- 17.1.4.2. Product Portfolio
- 17.1.4.3. Profitability by Market Segment
- 17.1.4.4. Sales Footprint
- 17.1.4.5. Strategy Overview
- 17.1.4.5.1. Marketing Strategy
- 17.1.5. Oracle Corporation
- 17.1.5.1. Overview
- 17.1.5.2. Product Portfolio
- 17.1.5.3. Profitability by Market Segment
- 17.1.5.4. Sales Footprint
- 17.1.5.5. Strategy Overview
- 17.1.5.5.1. Marketing Strategy
- 17.1.6. Schneider Electric
- 17.1.6.1. Overview
- 17.1.6.2. Product Portfolio
- 17.1.6.3. Profitability by Market Segment
- 17.1.6.4. Sales Footprint
- 17.1.6.5. Strategy Overview
- 17.1.6.5.1. Marketing Strategy
- 17.1.7. Itron Inc.
- 17.1.7.1. Overview
- 17.1.7.2. Product Portfolio
- 17.1.7.3. Profitability by Market Segment
- 17.1.7.4. Sales Footprint
- 17.1.7.5. Strategy Overview
- 17.1.7.5.1. Marketing Strategy
- 17.1.8. AES Ohio
- 17.1.8.1. Overview
- 17.1.8.2. Product Portfolio
- 17.1.8.3. Profitability by Market Segment
- 17.1.8.4. Sales Footprint
- 17.1.8.5. Strategy Overview
- 17.1.8.5.1. Marketing Strategy
- 18. Assumptions & Acronyms Used
- 19. Research Methodology
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