AgScan® refers to our portfolio of biannual, syndicated tracking studies, designed to provide you with independent research insights across a range of agricultural industries and markets
AgScan® agricultural chemicals & fertilisers
Market sizing and tracking of input use in Australian agriculture, including farmer product choice, purchase influences and brand preference for various chemicals:
- Fertilisers
- Herbicides
- Insecticides
- Fungicides
AgScan® carbon farming & regenerative agriculture
Gain insight into Australian farmer perception and use of regenerative agricultural techniques and carbon farming:
- Sustainable agricultural practices
- Carbon credits and sequestration
- Barriers to adoption
- Current uptake and willingness to invest
- Building Australia’s first natural capital & native seedbank
- Farmer database
- 3D digital soil maps
AgScan® agricultural machinery
Market sizing and tracking of Australian farm machinery:
- Tractors & combine harvesters
- Self-propelled agricultural machinery
AgScan® Technology & digital farming
Gauge the relative use, perception and adoption rate of technology solutions in Australia:
- Barriers to adoption & unmet needs
- Connectivity
- Awareness & experience
AgScan® Banking & insurance
Tracking of farmer banking behaviour, share of wallet, brand resonance and value perception.
AgScan® animal health & genetics
Market sizing and tracking of animal health, nutrition, genetics, supplement and feed trends in Australian agriculture:
- Market dynamics
- Purchase influences
- Brand preferences
- Farmer perspectives
- Customer experience
- Disease prevention
- Information sources
AgScan® grain storage & marketing
Longitudinal tracking of Australian farmers grain storage practices, benchmarking national capacity and stockpiles:
- Type of storage
- Intentions to store
- Barriers and trade-offs
- Storage purchase influences
- Grain marketing preferences
- Risk management strategies
- Soil quality control
- Developing and tracking national seed bank
AgScan® water & irrigation
Track and monitor water use and irrigation technology trends in Australian Agriculture:
- Technology and monitoring system use
- Regional water use trends
- Water use planning processes
- Brand and manufacturer preference
AgScan® Rural media
Gain insight into rural connectivity and media usage:
- Media preferences
- Social media use
- Device use
- Internet connectivity
AgScan® Agricultural policy & rural development
Track trends and attitudes towards key policy and development initiatives effecting the Australian agricultural industry:
- Gauge message resonance
- Monitor attitude changes
- Guide strategic decisions
- Effective opinion polls
Frequently asked questions
What is AgScan® and what does it cover?
AgScan® is a portfolio of biannual syndicated tracking studies covering many sectors of Australian agriculture — including farm inputs (fertilisers, chemicals), machinery, digital farming, carbon/regenerative agriculture, animal health, water & irrigation, grain storage/marketing, banking & insurance, rural media use, and agricultural policy sentiment.
Who can use AgScan® insights?
Agribusinesses, input manufacturers, service providers, government agencies, environmental and policy organisations, researchers and industry bodies can use AgScan® data to inform market sizing, product development, trend analysis, uptake studies and strategic planning.
How does AgScan® ensure data quality and representativeness?
AgScan® relies on KG2’s verified, nationwide farmer database, combining regular surveys and tracking mechanisms to collect robust, representative data across many farm types and regions — ensuring insights reflect real-world Australian agriculture.
What kind of outputs or insights can clients expect from AgScan®?
Clients receive market-size estimates, trend tracking, usage and adoption data, brand and product preference analyses, regional breakdowns, behavioural insights (e.g. adoption of technology, regenerative agriculture), and longitudinal data to observe changes over time.
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Australia’s largest independent farmer database
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