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Product Code MM0914003487TW
Published Date 2024/1/31
English194 PagesGlobal

Virtual Power Plant Market by Technology (Demand Response, Supply Side, Mixed Asset), Vertical (Commercial, Industrial, Residential), Source (Renewable Energy, Storage, Cogeneration), Offering, & Region- Global Forecast to 2029Energy_Environment Market


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Product Code MM0914003487TW◆The Jan 2026 edition is also likely available. We will check with the publisher immediately.
Published Date 2024/1/31
English 194 PagesGlobal

Virtual Power Plant Market by Technology (Demand Response, Supply Side, Mixed Asset), Vertical (Commercial, Industrial, Residential), Source (Renewable Energy, Storage, Cogeneration), Offering, & Region- Global Forecast to 2029Energy_Environment Market



Abstract


Summary

The global virtual power plant (VPP) market is forecast to reach USD 5.5 billion by 2029 from an estimated USD 1.9 billion in 2024, at a CAGR of 23.4% during the forecast period (2024-2029). The rise in the demand for decarbonization of power distribution systems, and need to mitigate impact of intermittent renewable sources is driving the market. “Mixed Asset: The second largest segment of the virtual power plant market, by technology.” Based on technology, the virtual power plant market has been split into three types: Demand Response, Supply Side, and Mixed Asset. Mixed Asset is expected to be the second largest segment in the market. A mixed asset virtual power plant (VPP) is a sophisticated energy system that integrates both demand-side and supply-side resources to optimize energy consumption and production, resulting in a highly flexible energy system. These features are driving the market for mixed asset segment. “Industrial segment is expected to emerge as the second-fastest segment based on vertical.” Based on vertical, the virtual power plant market has been segmented into commercial, industrial, and residential. In the industrial sector, revolutionizing the way industrial facilities manage their energy consumption. These sophisticated systems aggregate diverse distributed energy resources (DERs), encompassing both renewable and fuel-based units, allowing industrial facilities to actively participate in energy exchange markets and optimize their energy usage dynamically. These factors are driving the segment making it as the second-fastest segment in the market. “Asia Pacific is expected to be the fastest region in the virtual power plant market.” Asia Pacific is expected to be the fastest region in the virtual power plant markets between 2024–2029. The market in Asia Pacific comprises Australia, South Korea, Japan, Rest of Asia Pacific countries. The growth of the VPP market in the Asia Pacific region is largely supported by strong government backing for clean energy initiatives, as well as the region's well-established power grids that are favorable for VPP and renewable energy integration. The ongoing development of VPP infrastructure is aligned with the region's commitment to meet the growing energy demands. Breakdown of Primaries: In-depth interviews have been conducted with various key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants, among other experts, to obtain and verify critical qualitative and quantitative information, as well as to assess future market prospects. The distribution of primary interviews is as follows: By Company Type: Tier 1- 45%, Tier 2- 30%, and Tier 3- 25% By Designation: C-Level- 35%, Director Levels- 25%, and Others- 40% By Region: North America- 33%, Europe- 27%, Asia Pacific- 20%, the Middle East & Africa- 12%, and South America- 8% Note: Others include product engineers, product specialists, and engineering leads. Note: The tiers of the companies are defined on the basis of their total revenues as of 2021. Tier 1: > USD 1 billion, Tier 2: From USD 500 million to USD 1 billion, and Tier 3: < USD 500 million The virtual power plant market is dominated by a few major players that have a wide regional presence. The leading players in the refinery and petrochemical filtration market are Siemens (Germany), Schneider Electric (France), General Electric (US), Shell (UK), Tesla (US). Research Coverage: The report defines, describes, and forecasts the global Virtual power plant market, by type, by component, by voltage, by servces, end user and region. It also offers a detailed qualitative and quantitative analysis of the market. The report provides a comprehensive review of the major market drivers, restraints, opportunities, and challenges. It also covers various important aspects of the market. These include an analysis of the competitive landscape, market dynamics, market estimates, in terms of value, and future trends in the virtual power plant market. Key Benefits of Buying the Report • Seamless integration with renewable sources such as solar and wind, Need to mitigate impact of intermittent renewable sources, and decarbonization of power distribution systems to drive the demand. Factors such as Requirement of high investments to deploy monitoring and control systems and predictive analysis hinder market growth. Increasing installation of smart grids offer lucrative opportunities in this market. Integration of different hardware and software components in VPPs, Cybersecurity threats due to use of digital infrastructure and communication networks are major challenges faced by countries in this market. • Product Development/ Innovation: The trends such as the integration of AI and ML algorithms is a pivotal trend in VPP development. These technologies contribute to the optimization of energy generation and consumption, boosting efficiency and cost-effectiveness. VPPs dynamically optimize their performance by employing real-time data analysis, ensuring responsiveness to varying energy demands and supply conditions. Secured data connections, often facilitated through wireless channels, form the backbone of VPP communication. This infrastructure enables the transmission of control commands and data between the central control system and connected assets in real time, allowing for effective monitoring and performance analysis. • Market Development: The development of virtual power plant is essential to achieve shared goals for energy security, economic development, and climate change mitigation. Smart grids enable increased demand response and energy efficiency, integration of variable renewable energy resources into the power grid infrastructure while reducing peak demand and stabilizing the electricity system. • Market Diversification: Schnedier Electric’s VPP4 Islands is a 4-year project aiming to smoothen the integration of renewable generation systems, promote the transition to smarter and cleaner energy, and help islands exploit different approaches to energy efficiency and innovative storage. • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Siemens (Germany), Schneider Electric (France), General Electric (US), Shell (UK), Tesla (US) among others in the virtual power plant market.

Table of Contents

  • 1 INTRODUCTION 30

    • 1.1 STUDY OBJECTIVES 30
    • 1.2 MARKET DEFINITION 30
      • 1.2.1 INCLUSIONS AND EXCLUSIONS 31
    • 1.3 STUDY SCOPE 32
      • 1.3.1 MARKETS COVERED 32
      • 1.3.2 REGIONAL SCOPE 32
      • 1.3.3 YEARS CONSIDERED 33
    • 1.4 UNITS CONSIDERED 33
    • 1.5 CURRENCY CONSIDERED 33
    • 1.6 LIMITATIONS 33
    • 1.7 STAKEHOLDERS 34
    • 1.8 SUMMARY OF CHANGES 34
    • 1.9 IMPACT OF RECESSION 34
  • 2 RESEARCH METHODOLOGY 35

    • 2.1 RESEARCH DATA 35
    • 2.2 DATA TRIANGULATION 36
      • 2.2.1 SECONDARY DATA 36
        • 2.2.1.1 List of major secondary sources 37
        • 2.2.1.2 Key data from secondary sources 37
      • 2.2.2 PRIMARY DATA 37
        • 2.2.2.1 Key data from primary sources 38
        • 2.2.2.2 Key industry insights 38
        • 2.2.2.3 Breakdown of primaries 38
    • 2.3 MARKET SIZE ESTIMATION 39
      • 2.3.1 BOTTOM-UP APPROACH 39
        • 2.3.1.1 Approach to estimate market size using bottom-up analysis 40
      • 2.3.2 TOP-DOWN APPROACH 40
        • 2.3.2.1 Approach to estimate market size using top-down analysis 40
      • 2.3.3 DEMAND-SIDE ANALYSIS 41
        • 2.3.3.1 Calculations for demand-side analysis 41
        • 2.3.3.2 Assumptions for demand-side analysis 42
      • 2.3.4 SUPPLY-SIDE ANALYSIS 43
        • 2.3.4.1 Calculations for supply-side analysis 44
        • 2.3.4.2 Assumptions for supply-side analysis 44
    • 2.4 RESEARCH ASSUMPTIONS 44
    • 2.5 RESEARCH LIMITATIONS 45
    • 2.6 RISK ASSESSMENT 45
      • 2.6.1 PARAMETERS CONSIDERED TO ANALYZE RECESSION IMPACT ON VIRTUAL POWER PLANT MARKET 45
    • 2.7 RECESSION IMPACT 46
  • 3 EXECUTIVE SUMMARY 47

  • 4 PREMIUM INSIGHTS 51

    • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN VIRTUAL POWER PLANT MARKET 51
    • 4.2 VIRTUAL POWER PLANT MARKET IN NORTH AMERICA, BY VERTICAL AND COUNTRY 51
    • 4.3 VIRTUAL POWER PLANT MARKET, BY TECHNOLOGY 52
    • 4.4 VIRTUAL POWER PLANT MARKET, BY OFFERING 52
    • 4.5 VIRTUAL POWER PLANT MARKET, BY SOURCE 52
    • 4.6 VIRTUAL POWER PLANT MARKET, BY VERTICAL 53
  • 5 MARKET OVERVIEW 54

    • 5.1 INTRODUCTION 54
    • 5.2 MARKET DYNAMICS 54
      • 5.2.1 DRIVERS 55
        • 5.2.1.1 Seamless integration of virtual power plants with renewable sources 55
        • 5.2.1.2 Pressing need to mitigate impact of intermittent renewable sources on stability and reliability of power grids 55
        • 5.2.1.3 Decarbonization of power distribution systems 56
      • 5.2.2 RESTRAINTS 56
        • 5.2.2.1 Requirement to deploy highly expensive monitoring & control predictive analytics solutions 56
      • 5.2.3 OPPORTUNITIES 57
        • 5.2.3.1 Increasing installation of smart grids 57
      • 5.2.4 CHALLENGES 58
        • 5.2.4.1 Integration of different hardware and software components in VPPs 58
        • 5.2.4.2 Cybersecurity threats due to use of digital infrastructure and communication networks 58
    • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 58
    • 5.4 VALUE CHAIN ANALYSIS 59
      • 5.4.1 RAW MATERIAL/COMPONENT PROVIDERS 59
      • 5.4.2 VIRTUAL POWER PLANT SYSTEM PROVIDERS/INSTALLATION AND MAINTENANCE SERVICE PROVIDERS 60
      • 5.4.3 END USERS/OPERATORS 60
    • 5.5 ECOSYSTEM ANALYSIS 60
    • 5.6 TECHNOLOGY ANALYSIS 61
      • 5.6.1 AI OPTIMIZATION AND BLOCKCHAIN TRANSPARENCY 61
    • 5.7 PRICING ANALYSIS 62
    • 5.8 TARIFFS, HS CODES, AND REGULATORY LANDSCAPE 63
      • 5.8.1 TARIFFS RELATED TO VIRTUAL POWER PLANTS 63
      • 5.8.2 REGULATORY LANDSCAPE 64
      • 5.8.3 CODES AND REGULATIONS 65
    • 5.9 PATENT ANALYSIS, 2020-2023 66
    • 5.10 TRADE ANALYSIS 69
      • 5.10.1 IMPORT SCENARIO 69
      • 5.10.2 EXPORT SCENARIO 70
    • 5.11 PORTER’S FIVE FORCES ANALYSIS 71
      • 5.11.1 THREAT OF SUBSTITUTES 72
      • 5.11.2 BARGAINING POWER OF SUPPLIERS 72
      • 5.11.3 BARGAINING POWER OF BUYERS 72
      • 5.11.4 THREAT OF NEW ENTRANTS 73
      • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY 73
    • 5.12 KEY CONFERENCES AND EVENTS, 2024 73
    • 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA 74
      • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS 74
      • 5.13.2 BUYING CRITERIA 74
    • 5.14 CASE STUDY ANALYSIS 75
      • 5.14.1 OATI DEPLOYS WEB DISTRIBUTION ASSIST EPB TO IMPLEMENT COMPREHENSIVE DEMAND RESPONSE MANAGEMENT SYSTEM TO MONITOR THEIR DISTRIBUTED ENERGY RESOURCES EFFECTIVELY 75
      • 5.14.2 VIRTUAL POWER STATION TECHNOLOGY HELPS OVERCOME RELIABILITY CHALLENGES ASSOCIATED WITH RENEWABLE ENERGY SUPPLY 75
      • 5.14.3 AUSGRID AND EVERGEN PARTNERED TO ADDRESS CHALLENGES OF INTEGRATING RENEWABLES AND MAXIMIZING USE OF CUSTOMER-OWNED BATTERIES 76
  • 6 VIRTUAL POWER PLANT MARKET, BY TECHNOLOGY 77

    • 6.1 INTRODUCTION 78
    • 6.2 DEMAND RESPONSE 79
      • 6.2.1 EFFECTIVE OPTIMIZATION OF ENERGY USAGE DURING GRID STRESS TO ACCELERATE DEMAND 79
    • 6.3 SUPPLY SIDE 80
      • 6.3.1 ABILITY TO INTEGRATE VARIOUS DISTRIBUTED ENERGY SOURCES TO BOOST DEMAND 80
    • 6.4 MIXED ASSET 81
      • 6.4.1 DECLINING COSTS OF DISTRIBUTED ENERGY SOURCES TO DRIVE MARKET 81
  • 7 VIRTUAL POWER PLANT MARKET, BY VERTICAL 83

    • 7.1 INTRODUCTION 84
    • 7.2 COMMERCIAL 85
      • 7.2.1 REDUCED WORKLOAD AND COST OPTIMIZATION TO FOSTER SEGMENTAL GROWTH 85
    • 7.3 INDUSTRIAL 86
      • 7.3.1 SIGNIFICANT CONTRIBUTION IN REDUCING SCOPE 2 EMISSIONS TO BOOST DEMAND 86
    • 7.4 RESIDENTIAL 87
      • 7.4.1 INCREASING ADOPTION OF EVS AND ROOFTOP PVS TO FUEL DEMAND 87
  • 8 VIRTUAL POWER PLANT MARKET, BY OFFERING 89

    • 8.1 INTRODUCTION 90
    • 8.2 HARDWARE 91
      • 8.2.1 NEED FOR REAL-TIME MONITORING AND OPTIMIZATION OF DERS TO BOOST DEMAND 91
    • 8.3 SOFTWARE 92
      • 8.3.1 USE OF ADVANCED ALGORITHMS TO FACILITATE INFORMED DECISION-MAKING TO DRIVE MARKET 92
    • 8.4 SERVICES 93
      • 8.4.1 REQUIREMENT OF OPERATIONAL SUPPORT AND STRATEGIC GUIDANCE WHILE VPP DEPLOYMENT TO FOSTER SEGMENTAL GROWTH 93
  • 9 VIRTUAL POWER PLANT MARKET, BY SOURCE 95

    • 9.1 INTRODUCTION 96
    • 9.2 RENEWABLE ENERGY 97
      • 9.2.1 DIVERSIFICATION OF ENERGY MIX AND DECENTRALIZATION OF POWER GENERATION TO BOOST DEMAND 97
    • 9.3 STORAGE 98
      • 9.3.1 ENERGY OPTIMIZATION WITH INTEGRATION OF DIVERSE ENERGY STORAGE SYSTEMS TO DRIVE MARKET 98
    • 9.4 COGENERATION 99
      • 9.4.1 ENHANCED ENERGY EFFICIENCY BY UTILIZING WASTE HEAT TO OFFER LUCRATIVE GROWTH OPPORTUNITIES TO PLAYERS 99
  • 10 VIRTUAL POWER PLANT MARKET, BY REGION 101

    • 10.1 INTRODUCTION 102
    • 10.2 NORTH AMERICA 104
      • 10.2.1 RECESSION IMPACT ON MARKET IN NORTH AMERICA 104
      • 10.2.2 US 107
        • 10.2.2.1 Government-led initiatives to boost importance of renewable sources to drive market 107
      • 10.2.3 CANADA 108
        • 10.2.3.1 Initiatives to provide green energy and reduce electricity rates to accelerate demand 108
    • 10.3 ASIA PACIFIC 109
      • 10.3.1 RECESSION IMPACT ON MARKET IN ASIA PACIFIC 110
      • 10.3.2 AUSTRALIA 114
        • 10.3.2.1 Government policy incentives and environmental sustainability goals to boost demand 114
      • 10.3.3 SOUTH KOREA 115
        • 10.3.3.1 Increasing public-private collaborations to establish renewable infrastructure to drive market 115
      • 10.3.4 JAPAN 116
        • 10.3.4.1 Growing investment by foreign players to offer lucrative market growth opportunities 116
      • 10.3.5 REST OF ASIA PACIFIC 117
    • 10.4 EUROPE 118
      • 10.4.1 RECESSION IMPACT ON MARKET IN EUROPE 119
      • 10.4.2 UK 122
        • 10.4.2.1 Growing investments by UK Infrastructure Bank in energy sector to drive market 122
      • 10.4.3 GERMANY 123
        • 10.4.3.1 Thriving renewable energy sector to boost demand 123
      • 10.4.4 FRANCE 124
        • 10.4.4.1 Government-led initiatives to innovate renewable energy projects to accelerate demand 124
      • 10.4.5 DENMARK 125
        • 10.4.5.1 Initiatives to make electricity sector fossil-free by 2030 to fuel demand 125
      • 10.4.6 REST OF EUROPE 126
    • 10.5 MIDDLE EAST & AFRICA 127
      • 10.5.1 RECESSION IMPACT ON MARKET IN MIDDLE EAST & AFRICA 127
      • 10.5.2 GCC COUNTRIES 131
        • 10.5.2.1 Growing FDIs in renewable energy sector to accelerate demand 131
      • 10.5.3 SOUTH AFRICA 132
        • 10.5.3.1 Adoption of clean energy technologies to boost demand 132
      • 10.5.4 TURKEY 134
        • 10.5.4.1 Integration of renewable sources into power grids to drive market 134
      • 10.5.5 REST OF MIDDLE EAST & AFRICA 135
    • 10.6 SOUTH AMERICA 136
      • 10.6.1 RECESSION IMPACT ON MARKET IN SOUTH AMERICA 136
      • 10.6.2 BRAZIL 139
        • 10.6.2.1 Growing initiatives by players to implement VPP models to surge demand 139
      • 10.6.3 REST OF SOUTH AMERICA 141
  • 11 COMPETITIVE LANDSCAPE 142

    • 11.1 OVERVIEW 142
    • 11.2 STRATEGIES ADOPTED BY MAJOR PLAYERS, 2020-2023 142
    • 11.3 MARKET SHARE ANALYSIS, 2023 143
    • 11.4 REVENUE ANALYSIS, 2018-2022 145
    • 11.5 COMPANY EVALUATION MATRIX, 2023 146
      • 11.5.1 STARS 146
      • 11.5.2 EMERGING LEADERS 146
      • 11.5.3 PERVASIVE PLAYERS 146
      • 11.5.4 PARTICIPANTS 146
      • 11.5.5 COMPANY FOOTPRINT 147
    • 11.6 START-UPS/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION MATRIX, 2023 151
      • 11.6.1 PROGRESSIVE COMPANIES 152
      • 11.6.2 RESPONSIVE COMPANIES 152
      • 11.6.3 DYNAMIC COMPANIES 152
      • 11.6.4 STARTING BLOCKS 152
      • 11.6.5 COMPETITIVE BENCHMARKING 153
    • 11.7 COMPETITIVE SCENARIOS AND TRENDS 154
      • 11.7.1 PRODUCT LAUNCHES, 2020-2023 154
      • 11.7.2 DEALS, 2020-2023 154
  • 12 COMPANY PROFILES 156

    • 12.1 KEY PLAYERS 156
      • 12.1.1 SIEMENS 156
      • 12.1.2 SCHNEIDER ELECTRIC 159
      • 12.1.3 GENERAL ELECTRIC 162
      • 12.1.4 SHELL 165
      • 12.1.5 ABB 168
      • 12.1.6 TESLA 171
      • 12.1.7 CPOWER 173
      • 12.1.8 IBM 175
      • 12.1.9 HITACHI ENERGY LTD 177
      • 12.1.10 GENERAC POWER SYSTEMS, INC 178
      • 12.1.11 FLEXITRICITY 181
      • 12.1.12 OLIVINE, INC 183
      • 12.1.13 LUMENAZA GMBH 185
      • 12.1.14 STEM, INC 186
      • 12.1.15 OPEN ACCESS TECHNOLOGY INTERNATIONAL, INC 190
      • 12.1.16 SPIRAE 191
    • 12.2 OTHER PLAYERS 192
      • 12.2.1 ARGAND SOLUTIONS 192
      • 12.2.2 KRAKENFLEX LIMITED 192
      • 12.2.3 HAVEN ENERGY 193
      • 12.2.4 ENERGY & METEO SYSTEMS GMBH 193
  • 13 APPENDIX 194

    • 13.1 INSIGHTS FROM INDUSTRY EXPERTS 194
    • 13.2 DISCUSSION GUIDE 194
    • 13.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 197
    • 13.4 CUSTOMIZATION OPTIONS 199
    • 13.5 RELATED REPORTS 199
    • 13.6 AUTHOR DETAILS 200
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