Global Solar Irradiance Calculator Market Strategic Research Report
By Type: Desktop Software, Cloud SaaS Platform, Data and API Service, Others
By Application: Solar Developers and EPCs, Engineering Consultants and Lenders, Asset Owners and Operators, Others
Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America
Key Players: DNV AS, Solargis s.r.O., Clean Power Research, L.L.C., Aurora Solar Inc., PVsyst SA, PVcase UAB, Meteotest AG, Vaisala Oyj, 3E N.V., Valentin Software GmbH, Meteomatics AG, TRACE Software International, Reuniwatt SAS, UL SolutionsInc., energy & meteo systems GmbH, Vela Solaris AG, Chengdu Shengsi Te Technology Co., Ltd., Beijing Bolun Jingwei Technology Development Co., Ltd., Laplace System Co., Ltd., SteadySun SAS, ENFOR A/S, ACCA software S.p.A.
نظرة عامة
Scope of the Report
The global Solar Irradiance Calculator market size is predicted to grow from US$ 242 million in 2025 to US$ 453 million in 2032; it is expected to grow at a CAGR of 9.4% from 2026 to 2032.
Solar Irradiance Calculator refers to commercial software, cloud platforms, data services and application programming interfaces that calculate, reconstruct, map, analyse and forecast the solar radiation available at a specified location and over a defined time horizon.
Solar Irradiance Calculator should not be treated as a market consisting primarily of simple online calculators. The commercially relevant industry is formed by three overlapping product groups: professional solar-resource data and application programming interfaces, engineering-grade photovoltaic yield and design software, and operational irradiance or power-forecasting platforms. Core outputs include global horizontal, direct normal, diffuse horizontal and plane-of-array irradiance, which are subsequently used in project prospecting, bankable yield assessment, detailed system design, asset benchmarking and grid operations. The broad supplier pool is therefore materially larger than the core formal list. It includes independent solar-data specialists, photovoltaic design platforms with embedded irradiance engines, general weather-data companies, inverter vendors offering free design tools and public-sector resources. The core commercial market, however, is limited to paid software, data subscriptions, APIs and enterprise forecasting services for which irradiance or solar-resource calculation is a material product function. Public platforms such as PVGIS, PVWatts and Global Solar Atlas influence user behaviour and price expectations but are excluded from the commercial revenue model.
The competitive structure is geographically concentrated but technologically segmented. Europe has the deepest cluster of specialist suppliers, including solar-resource data providers, meteorological database developers, bankable photovoltaic simulation vendors and power-forecasting companies. North America is comparatively stronger in cloud-based design workflows, distributed-solar software and enterprise APIs. Dedicated data providers compete on long-term consistency, spatial and temporal resolution, validation methodology and acceptance by engineers and lenders. Design-software companies compete on workflow efficiency, three-dimensional shading, electrical configuration, component databases and the ability to translate irradiance into project-specific energy yield. Forecasting companies compete on satellite cloud tracking, numerical weather prediction, machine learning, update frequency and portfolio-scale delivery. Chinese suppliers are important in the broader digital photovoltaic ecosystem, but publicly verifiable independent commercial solar-resource software remains limited; the clearest domestic products are currently design tools embedded in inverter and smart-energy platforms rather than standalone bankable data businesses.
Demand is supported by the continuing expansion and geographic diversification of photovoltaic deployment. IEA PVPS estimated that at least 608 GW and potentially as much as 698 GW of new photovoltaic capacity was installed in 2025, with close to forty national markets reaching at least one gigawatt of annual additions. This creates more development sites, engineering studies, financing processes and operating portfolios that require resource data and performance models. Revenue growth will nevertheless remain slower than installed-capacity growth because a single software platform can process many projects and free public tools are adequate for basic screening. The faster-growing commercial segments are expected to be high-resolution APIs, bankable long-term datasets, probabilistic P50/P90 analytics, satellite-based nowcasting, grid and market forecasting, climate-adjusted resource analysis and integrations between resource data, design software and asset-management systems. Product differentiation will increasingly depend on documented uncertainty, measurement validation, terrain and shading accuracy, bifacial modelling and compatibility with enterprise workflows rather than the basic ability to return a solar-radiation value.
Report Scope
This report presents a comprehensive overview of the global Solar Irradiance Calculator market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.
Segment by Type
- Desktop Software
- Cloud SaaS Platform
- Data and API Service
- Others
Segment by Data and Modelling Approach
- Satellite-derived Modelling
- Ground-measurement-based Modelling
- Others
Segment by Project Lifecycle Stage
- Prospecting and Site Screening
- Feasibility and Bankability
- Detailed Design and Engineering
- Others
Segment by Application
- Solar Developers and EPCs
- Engineering Consultants and Lenders
- Asset Owners and Operators
- Others
Who Can Use This Report?
This report is written for decision-makers who need a clear, data-backed view of the global Solar Irradiance Calculator market:
- Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
- Distributors, channel partners and end users in Solar Developers and EPCs, Engineering Consultants and Lenders, Asset Owners and Operators evaluating demand and sourcing options
- Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
- Government agencies, industry associations and research institutions tracking industry developments and policy impact
Market snapshot
Global Solar Irradiance Calculator Market Strategic Research Report snapshot, 2025–2032
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.Segments covered in this report
Table of contents
01Executive Summary
02Industry Overview & Forecast
- 2.1.1 Market Definition and Scope
- 2.1.2 Market Size and Growth Forecast
- 2.1.3 Volume Analysis
- 2.1.4 Segment Outlook by Type
- 2.1.5 Segment Outlook by Application
- 2.1.6 Regional Outlook
- 2.1.7 Structural Developments Shaping the Forecast
- 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
- 3.1 Market Segmentation by Type
- 3.1.1 Market by Type Overview
- 3.1.2 Desktop Software
- 3.1.3 Cloud SaaS Platform
- 3.1.4 Data and API Service
- 3.1.5 Others
- 3.1.6 Volume Analysis
04Market Segmentation by Application
- 4.1 Market Segmentation by Application
- 4.1.1 Market by Application Overview
- 4.1.2 Solar Developers and EPCs
- 4.1.3 Engineering Consultants and Lenders
- 4.1.4 Asset Owners and Operators
- 4.1.5 Others
- 4.1.6 Volume Analysis
05Regional Market Forecast
- Asia Pacific
- North America
- Europe
- Middle East & Africa
- Latin America
06Country-Level Market Forecast
- 6.1 Asia Pacific
- 6.1.1 China
- 6.1.2 Japan
- 6.1.3 Korea
- 6.1.4 Southeast Asia
- 6.1.5 India
- 6.1.6 Australia
- 6.1.7 Rest of Asia Pacific
- 6.2 North America
- 6.2.1 United States
- 6.2.2 Canada
- 6.2.3 Mexico
- 6.2.4 Rest of North America
- 6.3 Europe
- 6.3.1 Germany
- 6.3.2 France
- 6.3.3 UK
- 6.3.4 Italy
- 6.3.5 Russia
- 6.3.6 Rest of Europe
- 6.4 Middle East & Africa
- 6.4.1 Egypt
- 6.4.2 South Africa
- 6.4.3 Israel
- 6.4.4 Turkey
- 6.4.5 GCC Countries
- 6.4.6 Rest of Middle East & Africa
- 6.5 Latin America
- 6.5.1 Brazil
- 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
- 7.1 Growth Drivers & Inhibitors
- 7.1.1 Section Overview
- 7.1.2 Growth Drivers
- 7.1.3 Growth Inhibitors
- 7.1.4 Driver and Inhibitor Impact Assessment
- 7.1.5 Analyst Perspective
08Key Company Profiles
- 8.1 DNV AS
- 8.1.1 Company Overview
- 8.1.2 Key Products & Segments
- 8.1.3 Financial Performance (2023–2025)
- 8.1.4 Business Strategy
- 8.1.5 SWOT Analysis
- 8.1.6 Strategic Implications (2026–2032)
- 8.2 Solargis s.r.O.
- 8.2.1 Company Overview
- 8.2.2 Key Products & Segments
- 8.2.3 Financial Performance (2023–2025)
- 8.2.4 Business Strategy
- 8.2.5 SWOT Analysis
- 8.2.6 Strategic Implications (2026–2032)
- 8.3 Clean Power Research,L.L.C.
- 8.3.1 Company Overview
- 8.3.2 Key Products & Segments
- 8.3.3 Financial Performance (2023–2025)
- 8.3.4 Business Strategy
- 8.3.5 SWOT Analysis
- 8.3.6 Strategic Implications (2026–2032)
- 8.4 Aurora Solar Inc.
- 8.4.1 Company Overview
- 8.4.2 Key Products & Segments
- 8.4.3 Financial Performance (2023–2025)
- 8.4.4 Business Strategy
- 8.4.5 SWOT Analysis
- 8.4.6 Strategic Implications (2026–2032)
- 8.5 PVsyst SA
- 8.5.1 Company Overview
- 8.5.2 Key Products & Segments
- 8.5.3 Financial Performance (2023–2025)
- 8.5.4 Business Strategy
- 8.5.5 SWOT Analysis
- 8.5.6 Strategic Implications (2026–2032)
- 8.6 PVcase UAB
- 8.6.1 Company Overview
- 8.6.2 Key Products & Segments
- 8.6.3 Financial Performance (2023–2025)
- 8.6.4 Business Strategy
- 8.6.5 SWOT Analysis
- 8.6.6 Strategic Implications (2026–2032)
- 8.7 Meteotest AG
- 8.7.1 Company Overview
- 8.7.2 Key Products & Segments
- 8.7.3 Financial Performance (2023–2025)
- 8.7.4 Business Strategy
- 8.7.5 SWOT Analysis
- 8.7.6 Strategic Implications (2026–2032)
- 8.8 Vaisala Oyj
- 8.8.1 Company Overview
- 8.8.2 Key Products & Segments
- 8.8.3 Financial Performance (2023–2025)
- 8.8.4 Business Strategy
- 8.8.5 SWOT Analysis
- 8.8.6 Strategic Implications (2026–2032)
- 8.9 3E N.V.
- 8.9.1 Company Overview
- 8.9.2 Key Products & Segments
- 8.9.3 Financial Performance (2023–2025)
- 8.9.4 Business Strategy
- 8.9.5 SWOT Analysis
- 8.9.6 Strategic Implications (2026–2032)
- 8.10 Valentin Software GmbH
- 8.10.1 Company Overview
- 8.10.2 Key Products & Segments
- 8.10.3 Financial Performance (2023–2025)
- 8.10.4 Business Strategy
- 8.10.5 SWOT Analysis
- 8.10.6 Strategic Implications (2026–2032)
- 8.11 Meteomatics AG
- 8.11.1 Company Overview
- 8.11.2 Key Products & Segments
- 8.11.3 Financial Performance (2023–2025)
- 8.11.4 Business Strategy
- 8.11.5 SWOT Analysis
- 8.11.6 Strategic Implications (2026–2032)
- 8.12 TRACE Software International
- 8.12.1 Company Overview
- 8.12.2 Key Products & Segments
- 8.12.3 Financial Performance (2023–2025)
- 8.12.4 Business Strategy
- 8.12.5 SWOT Analysis
- 8.12.6 Strategic Implications (2026–2032)
- 8.13 Reuniwatt SAS
- 8.13.1 Company Overview
- 8.13.2 Key Products & Segments
- 8.13.3 Financial Performance (2023–2025)
- 8.13.4 Business Strategy
- 8.13.5 SWOT Analysis
- 8.13.6 Strategic Implications (2026–2032)
- 8.14 UL SolutionsInc.
- 8.14.1 Company Overview
- 8.14.2 Key Products & Segments
- 8.14.3 Financial Performance (2023–2025)
- 8.14.4 Business Strategy
- 8.14.5 SWOT Analysis
- 8.14.6 Strategic Implications (2026–2032)
- 8.15 energy & meteo systems GmbH
- 8.15.1 Company Overview
- 8.15.2 Key Products & Segments
- 8.15.3 Financial Performance (2023–2025)
- 8.15.4 Business Strategy
- 8.15.5 SWOT Analysis
- 8.15.6 Strategic Implications (2026–2032)
- 8.16 Vela Solaris AG
- 8.16.1 Company Overview
- 8.16.2 Key Products & Segments
- 8.16.3 Financial Performance (2023–2025)
- 8.16.4 Business Strategy
- 8.16.5 SWOT Analysis
- 8.16.6 Strategic Implications (2026–2032)
- 8.17 Chengdu Shengsi Te Technology Co., Ltd.
- 8.17.1 Company Overview
- 8.17.2 Key Products & Segments
- 8.17.3 Financial Performance (2023–2025)
- 8.17.4 Business Strategy
- 8.17.5 SWOT Analysis
- 8.17.6 Strategic Implications (2026–2032)
- 8.18 Beijing Bolun Jingwei Technology Development Co., Ltd.
- 8.18.1 Company Overview
- 8.18.2 Key Products & Segments
- 8.18.3 Financial Performance (2023–2025)
- 8.18.4 Business Strategy
- 8.18.5 SWOT Analysis
- 8.18.6 Strategic Implications (2026–2032)
- 8.19 Laplace System Co.,Ltd.
- 8.19.1 Company Overview
- 8.19.2 Key Products & Segments
- 8.19.3 Financial Performance (2023–2025)
- 8.19.4 Business Strategy
- 8.19.5 SWOT Analysis
- 8.19.6 Strategic Implications (2026–2032)
- 8.20 SteadySun SAS
- 8.20.1 Company Overview
- 8.20.2 Key Products & Segments
- 8.20.3 Financial Performance (2023–2025)
- 8.20.4 Business Strategy
- 8.20.5 SWOT Analysis
- 8.20.6 Strategic Implications (2026–2032)
- 8.21 ENFOR A/S
- 8.21.1 Company Overview
- 8.21.2 Key Products & Segments
- 8.21.3 Financial Performance (2023–2025)
- 8.21.4 Business Strategy
- 8.21.5 SWOT Analysis
- 8.21.6 Strategic Implications (2026–2032)
- 8.22 ACCA software S.p.A.
- 8.22.1 Company Overview
- 8.22.2 Key Products & Segments
- 8.22.3 Financial Performance (2023–2025)
- 8.22.4 Business Strategy
- 8.22.5 SWOT Analysis
- 8.22.6 Strategic Implications (2026–2032)
09Competitive Landscape
- 9.1 Competitive Landscape Overview
- 9.2 Competitive Intensity Assessment
- 9.3 Key Player Strategies & Positioning
- 9.4 Competitive Dynamics & Strategic Outlook
- 9.4.1 Emerging Competitive Threats
- 9.4.2 Consolidation vs. Fragmentation Outlook
- 9.4.3 Competitive Response Matrix
- 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
- 10.1 Threat of New Entrants
- 10.2 Bargaining Power of Buyers
- 10.3 Bargaining Power of Suppliers
- 10.4 Threat of Substitutes
- 10.5 Competitive Rivalry
11PESTLE Analysis
- 11.1 Political
- 11.2 Economic
- 11.3 Social and Demographic
- 11.4 Technological
- 11.5 Legal and Regulatory
- 11.6 Environmental
- 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
- 13.1 Future Trends & Outlook
- 13.1.1 Trend Summary and Commercial Maturity Assessment
- 13.1.2 Technology and Innovation Trends
- 13.1.3 Long-Term Market Outlook
- 13.1.4 Investment & M&A Activity Outlook
- 13.1.5 Overall Outlook Assessment
Frequently asked questions
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Research Methodology
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Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.
Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.
CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.
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