Overview of the Research Process
The study followed a structured, multi-stage research process combining secondary research, primary validation and quantitative modelling. The process began with a definition of the market scope and segmentation, followed by the collection of data on registered Isaria fumosorosea products, producers, application areas and pest pressure. Market estimates were built using both top-down and bottom-up approaches, cross-checked through data triangulation and validated with industry participants before the forecast was finalised.
Stage 1, Scoping: definition of the product, inclusions and exclusions, segmentation and geographic coverage.
Stage 2, Data collection: secondary research across regulatory, corporate, scientific and trade sources.
Stage 3, Market modelling: estimation of base-year market size and segment splits.
Stage 4, Validation: primary interviews with supply-side and demand-side participants.
Stage 5, Forecasting: projection of the market to 2032 based on driver and restraint analysis.
Secondary Research
Secondary research was used to build a comprehensive understanding of the market and to identify registered products, active strains, manufacturers and application patterns. Sources relevant to this industry included:
Regulatory and government bodies: pesticide registration databases and decisions of the U.S. Environmental Protection Agency (EPA), the European Commission EU Pesticides Database, the European Food Safety Authority (EFSA), national authorities such as ANSES (France), Health Canada's Pest Management Regulatory Agency (PMRA), Brazil's Ministry of Agriculture and Livestock (MAPA) Agrofit system, India's Central Insecticides Board & Registration Committee (CIB&RC) and China's Institute for the Control of Agrochemicals (ICAMA).
Industry associations: biocontrol and bioinputs associations such as the International Biocontrol Manufacturers Association (IBMA), the Biological Products Industry Alliance (BPIA) and CropLife, along with national bioinput associations in Latin America.
Company sources: annual reports, investor presentations, product labels, technical data sheets and press releases of biopesticide manufacturers and their parent groups.
Scientific and trade literature: peer-reviewed journals on biological control and insect pathology, conference proceedings, and agricultural trade journals covering crop protection and bioinputs.
Statistical and paid databases: agricultural production and crop area statistics (for example, FAO statistics), trade data, and proprietary industry databases.
Primary Research
Primary research was conducted to validate secondary findings, fill information gaps and obtain qualitative insight into market trends. In-depth interviews were carried out by telephone, video call and e-mail using a structured discussion guide.
Supply-side respondents: executives in product management, business development, regulatory affairs and R&D at biopesticide manufacturers; contract fermentation and formulation specialists; distributors and agricultural input retailers.
Demand-side respondents: commercial growers of greenhouse vegetables, fruits, citrus and field crops; crop consultants and agronomists; IPM advisers; and procurement managers at grower cooperatives and agribusinesses.
Objectives: to validate market size and segment splits, understand pricing and purchasing behaviour, assess product performance and adoption barriers, and gauge expectations for future demand.
Market Size Estimation
Top-down approach: the overall biopesticides and microbial bioinsecticides markets were used as a starting point, and the share attributable to Isaria fumosorosea-based products was derived from registration counts, product sales information and expert inputs. The resulting value was then split by formulation, crop type, target pest and geography.
Bottom-up approach: country-level estimates were built from treated crop area, typical application rates and frequencies, adoption rates among target growers and average product prices. Country estimates were summed to regional and global totals.
Data triangulation: results from the two approaches were compared and reconciled with supply-side revenue indications and primary interview findings. Where the estimates diverged, assumptions were reviewed and adjusted until a consistent market size was achieved for each segment and region.
Forecasting Methodology
The forecast was developed by projecting base-year values with growth rates derived from an assessment of quantitative and qualitative factors, including:
Regulatory restrictions on synthetic insecticides and the pace of microbial product approvals in each region.
Growth in protected cultivation, organic farming area and export-oriented horticulture.
Pest pressure trends, including insecticide resistance in whiteflies, aphids, psyllids and leafhoppers.
Expansion of biological products into row crops and the evolution of formulation technology.
Macroeconomic indicators, agricultural commodity prices and farm income trends.
Segment-level growth rates were assigned on the basis of these factors and reconciled with regional totals. CAGRs are calculated for the 2026–2032 period.
Base Year, Forecast Period and Currency
Base year: 2025
Historic period: 2022–2024
Forecast period: 2026–2032
Currency: all values are expressed in USD Million.
Assumptions and Limitations
Market values are estimated at manufacturer and supplier selling prices and exclude distribution margins and taxes.
Values are expressed in nominal USD; exchange rate fluctuations over the forecast period are not explicitly modelled.
The regulatory environment is assumed to evolve along currently announced lines, with no abrupt withdrawals of approved Isaria strains.
Products are included on the basis of the active strain declared on registration documents and labels; taxonomic revisions (for example, between Isaria fumosorosea and Cordyceps javanica) may affect how individual products are classified.
Sales by private and unlisted companies are estimated from secondary information and primary inputs, as most producers do not disclose product-level revenue.
Unforeseen events such as extreme weather, pest outbreaks, trade disruptions or policy changes may cause actual results to differ from the forecast.
