디지털 유틸리티 시장 : 구성요소별, 도입 형태별, 네트워크 유형별, 응용 분야별, 기술 유형별, 최종사용자 유형별, 기업 규모별, 주요 지역별, 산업 동향별 예측(-2035년)

Digital Utility Market Overview

As per Roots Analysis, the global digital utility market size is estimated to grow from USD 227.85 billion in the current year USD 654.68 billion by 2035, at a CAGR of 11.13% during the forecast period, till 2035.

The opportunity for digital utility market has been distributed across the following segments:

Type of Component

• Hardware
• Services
• Software

Type of Deployment

• Cloud
• Hybrid
• On-Premises

Type of Network

• Energy Storage
• Energy Trading
• Power Generation
• Retail
• Transmission & Distribution

Areas of Application

• Asset Management
• Smart Grid
• Smart Metering

Type of Technology

• Artificial Intelligence (AI)
• Big Data Analytics
• Internet of Things (IoT)

Type of End-User

• Commercial
• Residential
• Retail

Company Size

• Large Enterprises
• Small and Medium Enterprises

Geographical Regions

• North America
• US
• Canada
• Mexico
• Other North American countries
• Europe
• Austria
• Belgium
• Denmark
• France
• Germany
• Ireland
• Italy
• Netherlands
• Norway
• Russia
• Spain
• Sweden
• Switzerland
• UK
• Other European countries
• Asia
• China
• India
• Japan
• Singapore
• South Korea
• Other Asian countries
• Latin America
• Brazil
• Chile
• Colombia
• Venezuela
• Other Latin American countries
• Middle East and North Africa
• Egypt
• Iran
• Iraq
• Israel
• Kuwait
• Saudi Arabia
• UAE
• Other MENA countries
• Rest of the World
• Australia
• New Zealand
• Other countries

Digital Utility Market: Growth and Trends

Digital utility refers to the incorporation of cutting-edge technologies, data analytics, and communication systems into conventional utility frameworks to enhance efficiency, dependability, and sustainability. Within the sectors of electricity, water, and gas, digital utility solutions employ smart meters, sensors, and Internet of Things (IoT) devices to gather real-time data on usage trends and grid operations. This wealth of data enables utilities to improve resource management, swiftly detect issues, and respond more adeptly to variations in demand.

The utility industry is progressively adopting innovative digital technologies, such as blockchain, artificial intelligence (AI), and machine learning, to improve their operations, customer interactions, and partnerships within the supply chain. These digital approaches allow users to manage energy production and distribution more efficiently, providing capabilities like predictive maintenance along with increased safety and efficiency, which ultimately enhances customer satisfaction. The expansion of this sector is fueled by factors including the growth of renewable energy initiatives and mandates focused on energy efficiency. Furthermore, the pressing need for green energy and swift advancements are driving this momentum.

Digital Utility Market: Key Segments

Market Share by Type of Component

Based on type of component, the global digital utility market is segmented into hardware, services and software. According to our estimates, currently, the hardware segment captures the majority of the market share. This can be attributed to the widespread adoption of smart meters, transformers, and other advanced equipment that are crucial for digital utility solutions.

However, the services segment is expected to grow at a higher CAGR during the forecast period. This increase is driven by improvements in data extraction and analytics for better customer management, as well as a rising consumer preference for renewable energy options and sustainable practices from utility providers.

Market Share by Type of Deployment

Based on type of deployment, the global digital utility market is segmented into cloud, hybrid and on-premises. According to our estimates, currently, the on-premises segment captures the majority of the market share. This can be attributed to its established infrastructure and the control it provides utilities over their operations and data security. However, the cloud deployment segment is expected to grow at a higher CAGR during the forecast period. This increase is due to the widespread adoption of cloud deployment for its scalability, flexibility, and cost-effectiveness in managing digital utility functions.

Market Share by Type of Network

Based on type of network, the global digital utility market is segmented into energy storage, energy trading, power generation, retail, transmission & distribution. According to our estimates, currently, the transmission & distribution segment captures the majority of the market share. This growth is largely due to the substantial investments necessary to upgrade outdated infrastructure and enhance the efficiency of electricity delivery systems.

However, the retail segment is expected to grow at a higher CAGR during the forecast period. This increase is driven by heightened consumer awareness regarding environmental issues and an increasing demand for renewable energy alternatives.

Market Share by Area of Application

Based on area of application, the global digital utility market is segmented into asset management, smart grid and smart meeting. According to our estimates, currently, the smart grid segment captures the majority of the market share. This increase can be attributed to the essential function the smart grid sector serves in upgrading energy infrastructure and enhancing both the efficiency and reliability of electricity distribution. However, the smart metering sector is expected to grow at a higher CAGR during the forecast period. This growth is linked to the increasing demand for precise billing, improved customer engagement, and more effective energy management solutions.

Market Share by Type of Technology

Based on type of technology, the global digital utility market is segmented into artificial intelligence (AI), big data analytics, and the internet of things (IoT). According to our estimates, currently, the artificial intelligence (AI) segment captures the majority of the market share. This growth can be attributed to its capacity to boost operational efficiency, enhance predictive maintenance, and support data-driven decision-making among utility providers.

However, the internet of things (IoT) segment is expected to grow at a higher CAGR during the forecast period. This increase is linked to the rising number of connected devices and sensors that enable real-time monitoring and management of energy resources.

Market Share by Type of End User

Based on type of end user, the global digital utility market is segmented into commercial, residential and retail. According to our estimates, currently, the commercial segment captures the majority of the market share. This increase can be attributed to the rising adoption of digital utility solutions by businesses aiming to boost operational efficiency and lower energy expenses.

However, the retail segment is expected to grow at a higher CAGR during the forecast period. This increase is linked to the increasing dependence on data analytics to gain deeper insights into customer behaviors and preferences. By employing digital utility solutions, retailers can enhance their energy management strategies, resulting in reduced costs and improved customer satisfaction.

Market Share by Company Size

Based on company size, the global digital utility market is segmented into large and small and medium enterprise. According to our estimates, currently, the large enterprise segment captures the majority of the market share. Meanwhile, the small and medium enterprise segments is expected to grow at a higher CAGR during the forecast period. This growth can be attributed to their adaptability, innovation, focus on specialized markets, and capacity to respond to evolving customer needs and market dynamics.

Market Share by Geographical Regions

Based on geographical regions, the digital utility market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently North America captures the majority share of the market, owing to the region's advanced technological infrastructure, early integration of smart grid solutions, and strong initiatives toward grid modernization.

Example Players in Digital Utility Market

• ABB
• Accenture PLC
• Capgemini SA
• Cisco Systems
• Cognizant Technology Solutions
• Eaton
• General Electric
• Honeywell
• IBM
• Itron
• Microsoft
• Oracle
• SAP SE
• Schneider Electric
• Siemens
• Toshiba

Digital Utility Market: Research Coverage

The report on the digital utility market features insights on various sections, including:

• Market Sizing and Opportunity Analysis: An in-depth analysis of the digital utility market, focusing on key market segments, including [A] type of component, [B] type of deployment, [C] type of network, [D] areas of application, [E] type of technology, [F] type of end-user, [G] company size, and [H] key geographical regions.
• Competitive Landscape: A comprehensive analysis of the companies engaged in the digital utility market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
• Company Profiles: Elaborate profiles of prominent players engaged in the digital utility market, providing details on [A] location of headquarters, [B] company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
• Megatrends: An evaluation of ongoing megatrends in the digital utility industry.
• Patent Analysis: An insightful analysis of patents filed / granted in the digital utility domain, based on relevant parameters, including [A] type of patent, [B] patent publication year, [C] patent age and [D] leading players.
• Recent Developments: An overview of the recent developments made in the digital utility market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.
• Porter's Five Forces Analysis: An analysis of five competitive forces prevailing in the digital utility market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
• SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.
• Value Chain Analysis: A comprehensive analysis of the value chain, providing information on the different phases and stakeholders involved in the digital utility market.

Key Questions Answered in this Report

• How many companies are currently engaged in digital utility market?
• Which are the leading companies in this market?
• What factors are likely to influence the evolution of this market?
• What is the current and future market size?
• What is the CAGR of this market?
• How is the current and future market opportunity likely to be distributed across key market segments?

Reasons to Buy this Report

• The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants.
• Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
• The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

Additional Benefits

• Complimentary Excel Data Packs for all Analytical Modules in the Report
• 15% Free Content Customization
• Detailed Report Walkthrough Session with Research Team
• Free Updated report if the report is 6-12 months old or older

TABLE OF CONTENTS

SECTION I: REPORT OVERVIEW

1. PREFACE

• 1.1. Introduction
• 1.2. Market Share Insights
• 1.3. Key Market Insights
• 1.4. Report Coverage
• 1.5. Key Questions Answered
• 1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

• 2.1. Chapter Overview
• 2.2. Research Assumptions
• 2.3. Database Building
  • 2.3.1. Data Collection
  • 2.3.2. Data Validation
  • 2.3.3. Data Analysis
• 2.4. Project Methodology
  • 2.4.1. Secondary Research
    • 2.4.1.1. Annual Reports
    • 2.4.1.2. Academic Research Papers
    • 2.4.1.3. Company Websites
    • 2.4.1.4. Investor Presentations
    • 2.4.1.5. Regulatory Filings
    • 2.4.1.6. White Papers
    • 2.4.1.7. Industry Publications
    • 2.4.1.8. Conferences and Seminars
    • 2.4.1.9. Government Portals
    • 2.4.1.10. Media and Press Releases
    • 2.4.1.11. Newsletters
    • 2.4.1.12. Industry Databases
    • 2.4.1.13. Roots Proprietary Databases
    • 2.4.1.14. Paid Databases and Sources
    • 2.4.1.15. Social Media Portals
    • 2.4.1.16. Other Secondary Sources
  • 2.4.2. Primary Research
    • 2.4.2.1. Introduction
    • 2.4.2.2. Types
      • 2.4.2.2.1. Qualitative
      • 2.4.2.2.2. Quantitative
    • 2.4.2.3. Advantages
    • 2.4.2.4. Techniques
      • 2.4.2.4.1. Interviews
      • 2.4.2.4.2. Surveys
      • 2.4.2.4.3. Focus Groups
      • 2.4.2.4.4. Observational Research
      • 2.4.2.4.5. Social Media Interactions
    • 2.4.2.5. Stakeholders
      • 2.4.2.5.1. Company Executives (CXOs)
      • 2.4.2.5.2. Board of Directors
      • 2.4.2.5.3. Company Presidents and Vice Presidents
      • 2.4.2.5.4. Key Opinion Leaders
      • 2.4.2.5.5. Research and Development Heads
      • 2.4.2.5.6. Technical Experts
      • 2.4.2.5.7. Subject Matter Experts
      • 2.4.2.5.8. Scientists
      • 2.4.2.5.9. Doctors and Other Healthcare Providers
    • 2.4.2.6. Ethics and Integrity
      • 2.4.2.6.1. Research Ethics
      • 2.4.2.6.2. Data Integrity
  • 2.4.3. Analytical Tools and Databases

3. MARKET DYNAMICS

• 3.1. Forecast Methodology
  • 3.1.1. Top-Down Approach
  • 3.1.2. Bottom-Up Approach
  • 3.1.3. Hybrid Approach
• 3.2. Market Assessment Framework
  • 3.2.1. Total Addressable Market (TAM)
  • 3.2.2. Serviceable Addressable Market (SAM)
  • 3.2.3. Serviceable Obtainable Market (SOM)
  • 3.2.4. Currently Acquired Market (CAM)
• 3.3. Forecasting Tools and Techniques
  • 3.3.1. Qualitative Forecasting
  • 3.3.2. Correlation
  • 3.3.3. Regression
  • 3.3.4. Time Series Analysis
  • 3.3.5. Extrapolation
  • 3.3.6. Convergence
  • 3.3.7. Forecast Error Analysis
  • 3.3.8. Data Visualization
  • 3.3.9. Scenario Planning
  • 3.3.10. Sensitivity Analysis
• 3.4. Key Considerations
  • 3.4.1. Demographics
  • 3.4.2. Market Access
  • 3.4.3. Reimbursement Scenarios
  • 3.4.4. Industry Consolidation
• 3.5. Robust Quality Control
• 3.6. Key Market Segmentations
• 3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

• 4.1. Chapter Overview
• 4.2. Market Dynamics
  • 4.2.1. Time Period
    • 4.2.1.1. Historical Trends
    • 4.2.1.2. Current and Forecasted Estimates
  • 4.2.2. Currency Coverage
    • 4.2.2.1. Overview of Major Currencies Affecting the Market
    • 4.2.2.2. Impact of Currency Fluctuations on the Industry
  • 4.2.3. Foreign Exchange Impact
    • 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
    • 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
  • 4.2.4. Recession
    • 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
    • 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
  • 4.2.5. Inflation
    • 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
    • 4.2.5.2. Potential Impact of Inflation on the Market Evolution
  • 4.2.6. Interest Rates
    • 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
    • 4.2.6.2. Strategies for Managing Interest Rate Risk
  • 4.2.7. Commodity Flow Analysis
    • 4.2.7.1. Type of Commodity
    • 4.2.7.2. Origins and Destinations
    • 4.2.7.3. Values and Weights
    • 4.2.7.4. Modes of Transportation
  • 4.2.8. Global Trade Dynamics
    • 4.2.8.1. Import Scenario
    • 4.2.8.2. Export Scenario
  • 4.2.9. War Impact Analysis
    • 4.2.9.1. Russian-Ukraine War
    • 4.2.9.2. Israel-Hamas War
  • 4.2.10. COVID Impact / Related Factors
    • 4.2.10.1. Global Economic Impact
    • 4.2.10.2. Industry-specific Impact
    • 4.2.10.3. Government Response and Stimulus Measures
    • 4.2.10.4. Future Outlook and Adaptation Strategies
  • 4.2.11. Other Indicators
    • 4.2.11.1. Fiscal Policy
    • 4.2.11.2. Consumer Spending
    • 4.2.11.3. Gross Domestic Product (GDP)
    • 4.2.11.4. Employment
    • 4.2.11.5. Taxes
    • 4.2.11.6. R&D Innovation
    • 4.2.11.7. Stock Market Performance
    • 4.2.11.8. Supply Chain
    • 4.2.11.9. Cross-Border Dynamics

SECTION II: QUALITATIVE INSIGHTS

5. EXECUTIVE SUMMARY

6. INTRODUCTION

• 6.1. Chapter Overview
• 6.2. Overview of Digital Utility Market
  • 6.2.1. Type of Components
  • 6.2.2. Types of Deployment
  • 6.2.3. Types of Networks
  • 6.2.4. Areas of Application
  • 6.2.5. Type of Technology
  • 6.2.6. Type of End-Users
• 6.3. Future Perspective

7. REGULATORY SCENARIO

SECTION III: MARKET OVERVIEW

8. COMPREHENSIVE DATABASE OF LEADING PLAYERS

9. COMPETITIVE LANDSCAPE

• 9.1. Chapter Overview
• 9.2. Digital Utility Market: Overall Market Landscape
  • 9.2.1. Analysis by Year of Establishment
  • 9.2.2. Analysis by Company Size
  • 9.2.3. Analysis by Location of Headquarters
  • 9.2.4. Analysis by Ownership Structure

10. WHITE SPACE ANALYSIS

11. COMPANY COMPETITIVENESS ANALYSIS

12. STARTUP ECOSYSTEM IN THE DIGITAL UTILITY MARKET

• 12.1. Digital Utility Market: Market Landscape of Startups
  • 12.1.1. Analysis by Year of Establishment
  • 12.1.2. Analysis by Company Size
  • 12.1.3. Analysis by Company Size and Year of Establishment
  • 12.1.4. Analysis by Location of Headquarters
  • 12.1.5. Analysis by Company Size and Location of Headquarters
  • 12.1.6. Analysis by Ownership Structure
• 12.2. Key Findings

SECTION IV: COMPANY PROFILES

13. COMPANY PROFILES

• 13.1. Chapter Overview
• 13.2. ABB*
  • 13.2.1. Company Overview
  • 13.2.2. Company Mission
  • 13.2.3. Company Footprint
  • 13.2.4. Management Team
  • 13.2.5. Contact Details
  • 13.2.6. Financial Performance
  • 13.2.7. Operating Business Segments
  • 13.2.8. Service / Product Portfolio (project specific)
  • 13.2.9. MOAT Analysis
  • 13.2.10. Recent Developments and Future Outlook
• 13.3. Accenture PLC
• 13.4. Capgemini SA
• 13.5. Cisco Systems
• 13.6. Cognizant Technology Solutions
• 13.7. Eaton
• 13.8. General Electric
• 13.9. Honeywell
• 13.10. IBM
• 13.11. Itron
• 13.12. Microsoft
• 13.13. Oracle
• 13.14. SAP SE
• 13.15. Schneider Electric
• 13.16. Siemens
• 13.17. Toshiba

SECTION V: MARKET TRENDS

14. MEGA TRENDS ANALYSIS

15. UNMET NEED ANALYSIS

16. PATENT ANALYSIS

17. RECENT DEVELOPMENTS

• 17.1. Chapter Overview
• 17.2. Recent Funding
• 17.3. Recent Partnerships
• 17.4. Other Recent Initiatives

SECTION VI: MARKET OPPORTUNITY ANALYSIS

18. GLOBAL DIGITAL UTILITY MARKET

• 18.1. Chapter Overview
• 18.2. Key Assumptions and Methodology
• 18.3. Trends Disruption Impacting Market
• 18.4. Demand Side Trends
• 18.5. Supply Side Trends
• 18.6. Global Digital Utility Market, Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 18.7. Multivariate Scenario Analysis
  • 18.7.1. Conservative Scenario
  • 18.7.2. Optimistic Scenario
• 18.8. Investment Feasibility Index
• 18.9. Key Market Segmentations

19. MARKET OPPORTUNITIES BASED ON TYPE OF COMPONENT

• 19.1. Chapter Overview
• 19.2. Key Assumptions and Methodology
• 19.3. Revenue Shift Analysis
• 19.4. Market Movement Analysis
• 19.5. Penetration-Growth (P-G) Matrix
• 19.6. Digital Utility Market for Hardware: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 19.7. Digital Utility Market for Services: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 19.8. Digital Utility Market for Software: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 19.9. Data Triangulation and Validation
  • 19.9.1. Secondary Sources
  • 19.9.2. Primary Sources
  • 19.9.3. Statistical Modeling

20. MARKET OPPORTUNITIES BASED ON TYPE OF DEPLOYMENT

• 20.1. Chapter Overview
• 20.2. Key Assumptions and Methodology
• 20.3. Revenue Shift Analysis
• 20.4. Market Movement Analysis
• 20.5. Penetration-Growth (P-G) Matrix
• 20.6. Digital Utility Market for Cloud: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 20.7. Digital Utility Market for Hybrid: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 20.8. Digital Utility Market for On-Premises: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 20.9. Data Triangulation and Validation
  • 20.9.1. Secondary Sources
  • 20.9.2. Primary Sources
  • 20.9.3. Statistical Modeling

21. MARKET OPPORTUNITIES BASED ON TYPE OF NETWORK

• 21.1. Chapter Overview
• 21.2. Key Assumptions and Methodology
• 21.3. Revenue Shift Analysis
• 21.4. Market Movement Analysis
• 21.5. Penetration-Growth (P-G) Matrix
• 21.6. Digital Utility Market for Energy Storage: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 21.7. Digital Utility Market for Energy Trading: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 21.8. Digital Utility Market for Power Generation: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 21.9. Digital Utility Market for Retail: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 21.10. Digital Utility Market for Transmission & Distribution: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 21.11. Data Triangulation and Validation
  • 21.11.1. Secondary Sources
  • 21.11.2. Primary Sources
  • 21.11.3. Statistical Modeling

22. MARKET OPPORTUNITIES BASED ON AREAS OF APPLICATION

• 22.1. Chapter Overview
• 22.2. Key Assumptions and Methodology
• 22.3. Revenue Shift Analysis
• 22.4. Market Movement Analysis
• 22.5. Penetration-Growth (P-G) Matrix
• 22.6. Digital Utility Market for Asset Management: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 22.7. Digital Utility Market for Smart Grid: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 22.8. Digital Utility Market for Smart Metering: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 22.9. Data Triangulation and Validation
  • 22.9.1. Secondary Sources
  • 22.9.2. Primary Sources
  • 22.9.3. Statistical Modeling

23. MARKET OPPORTUNITIES BASED ON TYPE OF TECHNOLOGY

• 23.1. Chapter Overview
• 23.2. Key Assumptions and Methodology
• 23.3. Revenue Shift Analysis
• 23.4. Market Movement Analysis
• 23.5. Penetration-Growth (P-G) Matrix
• 23.6. Digital Utility Market for Artificial Intelligence (AI): Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 23.7. Digital Utility Market for Big Data Analytics: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 23.8. Digital Utility Market for Internet of Things (IoT): Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 23.9. Data Triangulation and Validation
  • 23.9.1. Secondary Sources
  • 23.9.2. Primary Sources
  • 23.9.3. Statistical Modeling

24. MARKET OPPORTUNITIES BASED ON TYPE OF END-USER

• 24.1. Chapter Overview
• 24.2. Key Assumptions and Methodology
• 24.3. Revenue Shift Analysis
• 24.4. Market Movement Analysis
• 24.5. Penetration-Growth (P-G) Matrix
• 24.6. Digital Utility Market for Commercial: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 24.7. Digital Utility Market for Residential: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 24.8. Digital Utility Market for Retail: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 24.9. Data Triangulation and Validation
  • 24.9.1. Secondary Sources
  • 24.9.2. Primary Sources
  • 24.9.3. Statistical Modeling

25. MARKET OPPORTUNITIES BASED ON COMPANY SIZE

• 25.1. Chapter Overview
• 25.2. Key Assumptions and Methodology
• 25.3. Revenue Shift Analysis
• 25.4. Market Movement Analysis
• 25.5. Penetration-Growth (P-G) Matrix
• 25.6. Digital Utility Market for Large Enterprises: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 25.7. Digital Utility Market for Small and Medium Enterprises: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 25.8. Data Triangulation and Validation
  • 25.8.1. Secondary Sources
  • 25.8.2. Primary Sources
  • 25.8.3. Statistical Modeling

26. MARKET OPPORTUNITIES FOR DIGITAL UTILITY IN NORTH AMERICA

• 26.1. Chapter Overview
• 26.2. Key Assumptions and Methodology
• 26.3. Revenue Shift Analysis
• 26.4. Market Movement Analysis
• 26.5. Penetration-Growth (P-G) Matrix
• 26.6. Digital Utility Market in North America: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.1. Digital Utility Market in the US: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.2. Digital Utility Market in Canada: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.3. Digital Utility Market in Mexico: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 26.6.4. Digital Utility Market in Other North American Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 26.7. Data Triangulation and Validation

27. MARKET OPPORTUNITIES FOR DIGITAL UTILITY IN EUROPE

• 27.1. Chapter Overview
• 27.2. Key Assumptions and Methodology
• 27.3. Revenue Shift Analysis
• 27.4. Market Movement Analysis
• 27.5. Penetration-Growth (P-G) Matrix
• 27.6. Digital Utility Market in Europe: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.1. Digital Utility Market in Austria: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.2. Digital Utility Market in Belgium: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.3. Digital Utility Market in Denmark: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.4. Digital Utility Market in France: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.5. Digital Utility Market in Germany: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.6. Digital Utility Market in Ireland: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.7. Digital Utility Market in Italy: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.8. Digital Utility Market in Netherlands: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.9. Digital Utility Market in Norway: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.10. Digital Utility Market in Russia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.11. Digital Utility Market in Spain: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.12. Digital Utility Market in Sweden: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.13. Digital Utility Market in Switzerland: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.14. Digital Utility Market in the UK: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 27.6.15. Digital Utility Market in Other European Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 27.7. Data Triangulation and Validation

28. MARKET OPPORTUNITIES FOR DIGITAL UTILITY IN ASIA

• 28.1. Chapter Overview
• 28.2. Key Assumptions and Methodology
• 28.3. Revenue Shift Analysis
• 28.4. Market Movement Analysis
• 28.5. Penetration-Growth (P-G) Matrix
• 28.6. Digital Utility Market in Asia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.1. Digital Utility Market in China: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.2. Digital Utility Market in India: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.3. Digital Utility Market in Japan: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.4. Digital Utility Market in Singapore: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.5. Digital Utility Market in South Korea: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 28.6.6. Digital Utility Market in Other Asian Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 28.7. Data Triangulation and Validation

29. MARKET OPPORTUNITIES FOR DIGITAL UTILITY IN MIDDLE EAST AND NORTH AFRICA (MENA)

• 29.1. Chapter Overview
• 29.2. Key Assumptions and Methodology
• 29.3. Revenue Shift Analysis
• 29.4. Market Movement Analysis
• 29.5. Penetration-Growth (P-G) Matrix
• 29.6. Digital Utility Market in Middle East and North Africa (MENA): Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.1. Digital Utility Market in Egypt: Historical Trends (Since 2020) and Forecasted Estimates (Till 205)
  • 29.6.2. Digital Utility Market in Iran: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.3. Digital Utility Market in Iraq: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.4. Digital Utility Market in Israel: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.5. Digital Utility Market in Kuwait: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.6. Digital Utility Market in Saudi Arabia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.7. Digital Utility Market in United Arab Emirates (UAE): Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 29.6.8. Digital Utility Market in Other MENA Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 29.7. Data Triangulation and Validation

30. MARKET OPPORTUNITIES FOR DIGITAL UTILITY IN LATIN AMERICA

• 30.1. Chapter Overview
• 30.2. Key Assumptions and Methodology
• 30.3. Revenue Shift Analysis
• 30.4. Market Movement Analysis
• 30.5. Penetration-Growth (P-G) Matrix
• 30.6. Digital Utility Market in Latin America: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 30.6.1. Digital Utility Market in Argentina: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 30.6.2. Digital Utility Market in Brazil: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 30.6.3. Digital Utility Market in Chile: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 30.6.4. Digital Utility Market in Colombia Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 30.6.5. Digital Utility Market in Venezuela: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 30.6.6. Digital Utility Market in Other Latin American Countries: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
• 30.7. Data Triangulation and Validation

31. MARKET OPPORTUNITIES FOR DIGITAL UTILITY IN REST OF THE WORLD

• 31.1. Chapter Overview
• 31.2. Key Assumptions and Methodology
• 31.3. Revenue Shift Analysis
• 31.4. Market Movement Analysis
• 31.5. Penetration-Growth (P-G) Matrix
• 31.6. Digital Utility Market in Rest of the World: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 31.6.1. Digital Utility Market in Australia: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 31.6.2. Digital Utility Market in New Zealand: Historical Trends (Since 2020) and Forecasted Estimates (Till 2035)
  • 31.6.3. Digital Utility Market in Other Countries
• 31.7. Data Triangulation and Validation

32. MARKET CONCENTRATION ANALYSIS: DISTRIBUTION BY LEADING PLAYERS

• 32.1. Leading Player 1
• 32.2. Leading Player 2
• 32.3. Leading Player 3
• 32.4. Leading Player 4
• 32.5. Leading Player 5
• 32.6. Leading Player 6
• 32.7. Leading Player 7
• 32.8. Leading Player 8

33. ADJACENT MARKET ANALYSIS

SECTION VII: STRATEGIC TOOLS

34. KEY WINNING STRATEGIES

35. PORTER'S FIVE FORCES ANALYSIS

36. SWOT ANALYSIS

37. VALUE CHAIN ANALYSIS

38. ROOTS STRATEGIC RECOMMENDATIONS

• 38.1. Chapter Overview
• 38.2. Key Business-related Strategies
  • 38.2.1. Research & Development
  • 38.2.2. Product Manufacturing
  • 38.2.3. Commercialization / Go-to-Market
  • 38.2.4. Sales and Marketing
• 38.3. Key Operations-related Strategies
  • 38.3.1. Risk Management
  • 38.3.2. Workforce
  • 38.3.3. Finance
  • 38.3.4. Others

SECTION VIII: OTHER EXCLUSIVE INSIGHTS

39. INSIGHTS FROM PRIMARY RESEARCH

40. REPORT CONCLUSION

SECTION IX: APPENDIX

41. TABULATED DATA

42. LIST OF COMPANIES AND ORGANIZATIONS

43. CUSTOMIZATION OPPORTUNITIES

44. ROOTS SUBSCRIPTION SERVICES

45. AUTHOR DETAILS