재생에너지 예측 소프트웨어 시장(2026-2030년)

The global renewable energy forecasting software market is forecasted to grow by USD 547.1 mn during 2025-2030, accelerating at a CAGR of 10.6% during the forecast period. The report on the global renewable energy forecasting software market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing integration of variable renewable energy into national grids, advancements in ai and deep learning technologies, stringent regulatory mandates and economic pressures for grid efficiency.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global renewable energy forecasting software market is segmented as below:

By Deployment

• Cloud based
• On premises

By End-User

• Grid operators
• Independent power producers
• Energy traders
• Others

By Technology

• ML based forecasting
• Advanced AI forecasting
• Traditional statistical methods

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Spain
  • Italy
  • The Netherlands
• APAC
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Indonesia
• South America
  • Brazil
  • Argentina
  • Chile
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• Rest of World (ROW)

This study identifies the shift toward probabilistic and risk-based forecasting models as one of the prime reasons driving the global renewable energy forecasting software market growth during the next few years. Also, hyper-local nowcasting via high-resolution satellite and sky imaging and expansion of integrated energy management and storage forecasting will lead to sizable demand in the market.

The report on the global renewable energy forecasting software market covers the following areas:

• Global renewable energy forecasting software market sizing
• Global renewable energy forecasting software market forecast
• Global renewable energy forecasting software market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global renewable energy forecasting software market vendors that include ABB Ltd., AccuWeather Inc., Clean Power Research L.L.C, DNV Group AS, Fulcrum3D Pty Ltd., GE Vernova Inc., IBM Corp., Itron Inc., MetDesk Ltd., meteocontrol GmbH, Natural Power, Reuniwatt, RM Energy Weather GmbH, Schneider Electric SE, Siemens Gamesa Renewable Energy SA, Solargis, UL LLC., Vaisala Oyj, Vestas Wind Systems AS, VORTEX FACTORIA DE CAALCULS S.L.. Also, the global renewable energy forecasting software market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2025
• 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

• 5.1 Global Renewable Energy Forecasting Software Market 2020 - 2024
  • Historic Market Size - Data Table on Global Renewable Energy Forecasting Software Market 2020 - 2024 ($ million)
• 5.2 Deployment segment analysis 2020 - 2024
  • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
• 5.3 End-user segment analysis 2020 - 2024
  • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
• 5.4 Technology segment analysis 2020 - 2024
  • Historic Market Size - Technology Segment 2020 - 2024 ($ million)
• 5.5 Geography segment analysis 2020 - 2024
  • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
• 5.6 Country segment analysis 2020 - 2024
  • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

• 6.1 The AI impact on Global Renewable Energy Forecasting Software Market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2025 and 2030
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2025 and 2030
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2025 and 2030
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2025 and 2030
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2025 and 2030
• 7.7 Market condition

8 Market Segmentation by Deployment

• 8.1 Market segments
• 8.2 Comparison by Deployment
• 8.3 Cloud based - Market size and forecast 2025-2030
• 8.4 On premises - Market size and forecast 2025-2030
• 8.5 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

9 Market Segmentation by End-user

• 9.1 Market segments
• 9.2 Comparison by End-user
• 9.3 Grid operators - Market size and forecast 2025-2030
• 9.4 Independent power producers - Market size and forecast 2025-2030
• 9.5 Energy traders - Market size and forecast 2025-2030
• 9.6 Others - Market size and forecast 2025-2030
• 9.7 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

10 Market Segmentation by Technology

• 10.1 Market segments
• 10.2 Comparison by Technology
• 10.3 ML based forecasting - Market size and forecast 2025-2030
• 10.4 Advanced AI forecasting - Market size and forecast 2025-2030
• 10.5 Traditional statistical methods - Market size and forecast 2025-2030
• 10.6 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2025-2030
  • 12.3.1 US - Market size and forecast 2025-2030
  • 12.3.2 Canada - Market size and forecast 2025-2030
  • 12.3.3 Mexico - Market size and forecast 2025-2030
• 12.4 Europe - Market size and forecast 2025-2030
  • 12.4.1 Germany - Market size and forecast 2025-2030
  • 12.4.2 UK - Market size and forecast 2025-2030
  • 12.4.3 France - Market size and forecast 2025-2030
  • 12.4.4 Spain - Market size and forecast 2025-2030
  • 12.4.5 Italy - Market size and forecast 2025-2030
  • 12.4.6 The Netherlands - Market size and forecast 2025-2030
• 12.5 APAC - Market size and forecast 2025-2030
  • 12.5.1 China - Market size and forecast 2025-2030
  • 12.5.2 Japan - Market size and forecast 2025-2030
  • 12.5.3 India - Market size and forecast 2025-2030
  • 12.5.4 Australia - Market size and forecast 2025-2030
  • 12.5.5 South Korea - Market size and forecast 2025-2030
  • 12.5.6 Indonesia - Market size and forecast 2025-2030
• 12.6 South America - Market size and forecast 2025-2030
  • 12.6.1 Brazil - Market size and forecast 2025-2030
  • 12.6.2 Argentina - Market size and forecast 2025-2030
  • 12.6.3 Chile - Market size and forecast 2025-2030
• 12.7 Middle East and Africa - Market size and forecast 2025-2030
  • 12.7.1 Saudi Arabia - Market size and forecast 2025-2030
  • 12.7.2 UAE - Market size and forecast 2025-2030
  • 12.7.3 South Africa - Market size and forecast 2025-2030
  • 12.7.4 Israel - Market size and forecast 2025-2030
  • 12.7.5 Turkey - Market size and forecast 2025-2030
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Increasing integration of variable renewable energy into national grids
  • Advancements in AI and deep learning technologies
  • Stringent regulatory mandates and economic pressures for grid efficiency
• 13.2 Market challenges
  • Data heterogeneity and complexity of system interoperability
  • Atmospheric volatility and increasing inaccuracy of historical climate data
  • Cybersecurity vulnerabilities and protection of critical information infrastructure
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2025 and 2030
• 13.4 Market opportunities
  • Shift toward probabilistic and risk-based forecasting models
  • Hyper-local nowcasting via high-resolution satellite and sky imaging
  • Expansion of integrated energy management and storage forecasting

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 ABB Ltd.
  • ABB Ltd. - Overview
  • ABB Ltd. - Business segments
  • ABB Ltd. - Key news
  • ABB Ltd. - Key offerings
  • ABB Ltd. - Segment focus
  • SWOT
• 15.5 AccuWeather Inc.
  • AccuWeather Inc. - Overview
  • AccuWeather Inc. - Product / Service
  • AccuWeather Inc. - Key offerings
  • SWOT
• 15.6 Clean Power Research L.L.C
  • Clean Power Research L.L.C - Overview
  • Clean Power Research L.L.C - Product / Service
  • Clean Power Research L.L.C - Key offerings
  • SWOT
• 15.7 DNV Group AS
  • DNV Group AS - Overview
  • DNV Group AS - Business segments
  • DNV Group AS - Key offerings
  • DNV Group AS - Segment focus
  • SWOT
• 15.8 Fulcrum3D Pty Ltd.
  • Fulcrum3D Pty Ltd. - Overview
  • Fulcrum3D Pty Ltd. - Product / Service
  • Fulcrum3D Pty Ltd. - Key offerings
  • SWOT
• 15.9 GE Vernova Inc.
  • GE Vernova Inc. - Overview
  • GE Vernova Inc. - Business segments
  • GE Vernova Inc. - Key offerings
  • GE Vernova Inc. - Segment focus
  • SWOT
• 15.10 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 15.11 Itron Inc.
  • Itron Inc. - Overview
  • Itron Inc. - Business segments
  • Itron Inc. - Key news
  • Itron Inc. - Key offerings
  • Itron Inc. - Segment focus
  • SWOT
• 15.12 MetDesk Ltd.
  • MetDesk Ltd. - Overview
  • MetDesk Ltd. - Product / Service
  • MetDesk Ltd. - Key offerings
  • SWOT
• 15.13 meteocontrol GmbH
  • meteocontrol GmbH - Overview
  • meteocontrol GmbH - Product / Service
  • meteocontrol GmbH - Key offerings
  • SWOT
• 15.14 Natural Power
  • Natural Power - Overview
  • Natural Power - Product / Service
  • Natural Power - Key offerings
  • SWOT
• 15.15 Reuniwatt
  • Reuniwatt - Overview
  • Reuniwatt - Product / Service
  • Reuniwatt - Key offerings
  • SWOT
• 15.16 Schneider Electric SE
  • Schneider Electric SE - Overview
  • Schneider Electric SE - Business segments
  • Schneider Electric SE - Key news
  • Schneider Electric SE - Key offerings
  • Schneider Electric SE - Segment focus
  • SWOT
• 15.17 Siemens Gamesa Renewable Energy SA
  • Siemens Gamesa Renewable Energy SA - Overview
  • Siemens Gamesa Renewable Energy SA - Product / Service
  • Siemens Gamesa Renewable Energy SA - Key news
  • Siemens Gamesa Renewable Energy SA - Key offerings
  • SWOT
• 15.18 UL LLC.
  • UL LLC. - Overview
  • UL LLC. - Product / Service
  • UL LLC. - Key offerings
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations