Between 1997 and 2016 prices raised steadily from around 3,030 euros to 6,040 euros before decreasing slightly and stagnating for a few years. After an increase in 2020, land price went down in 2021 to its lowest price per hectare since 2016.

This statistic shows the price of agricultural land (in euros per hectare) in France and by department between 2019 and 2021. During that period, land in the Bouches-du-Rhône department was the most expensive in the country. The region of Jura is where agricultural land costs the least in France in 2021.

This statistic presents the price evolution of agricultural land and meadows between 1997 and 2020 in the French region Brittany. The price of agricultural land in Brittany has been rising steadily since 1997, it reached an all-time high of ***** euros per hectare in 2016.

France: Percent agricultural land: The latest value from 2022 is 51.69 percent, a decline from 52.1 percent in 2021. In comparison, the world average is 38.55 percent, based on data from 189 countries. Historically, the average for France from 1961 to 2022 is 56.29 percent. The minimum value, 51.69 percent, was reached in 2022 while the maximum of 63.08 percent was recorded in 1961.

France: Agricultural land, sq. km.: The latest value from 2021 is 285538 sq. km., unchanged from 285538 sq. km. in 2020. In comparison, the world average is 245857 sq. km., based on data from 193 countries. Historically, the average for France from 1961 to 2021 is 308658 sq. km.. The minimum value, 285538 sq. km., was reached in 2020 while the maximum of 345390 sq. km. was recorded in 1961.

L'Agreste lists here the price of agricultural land and meadows of more than 70 ares in the Ile-de-France region between 1997 and 2018. Between 1997 and 2014, land prices almost doubled. Since 2015, prices have stabilised at around 8,000 euros per hectare.

We can see here the price of agricultural land (euros per hectare) in France and per department in 2021. That year, an hectare of land in the Bouches-du-Rhône department was the most expensive in the country, amounting to ***** euros per hectare. On the hand of the spectrum, the least expensive agricultural land available costs ***** euros per hectare and is located in Jura.

This statistic shows the evolution of the price of agricultural land (euros per hectare) in the Nouvelle Aquitaine region between 2016 and 2018. In 2018, agricultural land in the Landes department was the most expensive in the region. While Gironde, Lot-et-Garonne, and Vienne have seen the price of their agricultural land increase since 2016, Landes, Haute-Vienne, and Pyrénées-Atlantique have seen the price fall each year over the same period.

The average for 2021 based on 27 countries was 60336 sq. km.. The highest value was in France: 285538 sq. km. and the lowest value was in Malta: 88 sq. km.. The indicator is available from 1961 to 2021. Below is a chart for all countries where data are available.

On this statistic we observe the price of free agricultural land in the French region of Centre Val-de-Loire between 2016 and 2018, by department. In 2018, the most expensive land in the region was located in Eure-et-Loir. The price of agricultural land in the Centre Val-de-Loire region has been rising steadily since 2016.

Spreadsheets used to calculate the implementation costs of the carbon storing practices studied in "Etude 4pour1000 France". Version corresponding to the publication of the research article, with modifications for the Agroforestry and Hedges practices (area base, storage potential in biomass). The spreadsheets include, in addition to the implementation cost, the aggregation of the maximum area base, the additional soil carbon storage potential and the full GHG balance for each practice at the regional scale.

This statistic presents the price evolution of agricultural land and meadows between 1997 and 2020 in the French region Normandy. The price of agricultural land in Normandy has been rising steadily since 1997 but slightly declined in recent years.

This statistic presents price evolution of agricultural land and meadows between 1997 and 2018 in the Hauts-de-France region. The price of agricultural land in Hauts-de-France has been rising steadily since 1997, reaching an all-time high of ****** euros per hectare in 2014. Land prices have since remained stable at between ***** and 10,000 euros per hectare.

Data for replication of main results in "The Direct Cost of Contaminated Brownfield Sites on Real Estate in France: A Quasi-Exhaustive Hedonic Price Analysis". The folder "data_estim" contains all necessary data to replicate all estimations in the article (see the R code "codes_cbs-cost") with three .csv files: dvf_estim.csv, dvfbasol_estim.csv and cell200_simulation.csv. The variable names in these files are as follow:

Identifier Variables: - IDMUTATION: identifier for each transacted property - comm_code: identifier for each commune defined in 2021 - admin_code: identifier for urban areas defined in 2021 - iris2014_code: identifier for each neighborhood defined in 2014 - cell200_code: identifier for each 200-meters gredded cells - dvf_x: longitude of each transacted property (EPSG: 2154, Lambert-93, RGF93) - dvf_y: latitude of each transacted property (EPSG: 2154, Lambert-93, RGF93) - basol_code: identifier for each CBS (only reported in dvfbasol_estim.csv) - anneemut: year of transaction for each property

Dependent Variable: - pm2: price in euro per square meter of transacted properties

Interest Variables: - areaha_basol250: area in hectare of CBS between 0 and 250 meters from transacted property - areaha_basol500: area in hectare of CBS between 250 and 500 meters from transacted property - areaha_basol1000: area in hectare of CBS between 500 and 1000 meters from transacted property - areaha_basol2000: area in hectare of CBS between 1000 and 2000 meters from transacted property - areaha_basol3000: area in hectare of CBS between 2000 and 3000 meters from transacted property - area250_indpro: area in hectare of CBS with industrial manufacturing activities between 0 and 250 meters from transacted property - area500_indpro: area in hectare of CBS with industrial manufacturing activities between 250 and 500 meters from transacted property - area1000_indpro: area in hectare of CBS with industrial manufacturing activities between 500 and 1000 meters from transacted property - area2000_indpro: area in hectare of CBS with industrial manufacturing activities between 1000 and 2000 meters from transacted property - area3000_indpro: area in hectare of CBS with industrial manufacturing activities between 2000 and 3000 meters from transacted property - area250_indoth: area in hectare of CBS with industrial non-manufacturing activities (extractive) between 0 and 250 meters from transacted property - area500_indoth: area in hectare of CBS with industrial non-manufacturing activities (extractive) between 250 and 500 meters from transacted property - area1000_indoth: area in hectare of CBS with industrial non-manufacturing activities (extractive) between 500 and 1000 meters from transacted property - area2000_indoth: area in hectare of CBS with industrial non-manufacturing activities (extractive) between 1000 and 2000 meters from transacted property - area3000_indoth: area in hectare of CBS with industrial non-manufacturing activities (extractive) between 2000 and 3000 meters from transacted property - area250_othact: area in hectare of CBS with other or unknown activities between 0 and 250 meters from transacted property - area500_othact: area in hectare of CBS with other or unknown activities between 250 and 500 meters from transacted property - area1000_othact: area in hectare of CBS with other or unknown activities between 500 and 1000 meters from transacted property - area2000_othact: area in hectare of CBS with other or unknown activities between 1000 and 2000 meters from transacted property - area3000_othact: area in hectare of CBS with other or unknown activities between 2000 and 3000 meters from transacted property - areaha_specific250: area in hectare of CBS specific to a unique CBS between 0 and 250 meters from transacted property (only reported in dvfbasol_estim.csv) - areaha_specific500: area in hectare of CBS specific to a unique CBS between 250 and 500 meters from transacted property (only reported in dvfbasol_estim.csv) - areaha_specific1000: area in hectare of CBS specific to a unique CBS between 500 and 1000 meters from transacted property (only reported in dvfbasol_estim.csv) - areaha_specific2000: area in hectare of CBS specific to a unique CBS between 1000 and 2000 meters from transacted property (only reported in dvfbasol_estim.csv)

Robustness Variables: - pm2mean_iris: average transaction price per square meter of neighborhood IRIS - shpoorhouse: share in percentage of poor households
- dvfschool_nb250: number of schools within 250 meters of property - dvfschool_nb500: number of schools within 500 meters of property - dvfschool_nb1000: number of schools within 1000 meters of property - dvfschool_nb2000: number of schools within 2000 meters of property - dvfschool_nb3000: number of schools within 3000 meters of property - dvfroad_nb250: number of road connections within 250 meters of property - dvfroad_nb500: number of road connections within 500 meters of property - dvfroad_nb1000: number of road connections within 1000 meters of property - dvfroad_nb2000: number of road connections within 2000 meters of property - dvfroad_nb3000: number of road connections within 30000 meters of property - dvfrail_nb250: number of railway stations within 250 meters of property - dvfrail_nb500: number of railway stations within 500 meters of property - dvfrail_nb1000: number of railway stations within 1000 meters of property - dvfrail_nb2000: number of railway stations within 2000 meters of property - dvfrail_nb3000: number of railway stations within 3000 meters of property

Control Variables: - center_dist: distance in kilometers of transacted property from urban area center - sterr: surface area in square meter of parcel of each property - sbati: surface area in square meter of building surfaces - vente_cla: transaction through a classical process (binary variable) - vente_adj: transaction through adjudicated process (binary variable) - vente_ech: transaction through special exchange process (binary variable) - vente_exp: transaction through expropriation process (binary variable) - vente_efa: transaction before completion (binary variable) - nblocmai: number of houses in each transaction - nblocapt: number of apartments in each transaction - nblocdep: number of building dependencies in each transaction - nblocact: number of properties for commercial purpose in each transaction - nbapt1pp: number of apartment with 1 room in each transaction - nbapt2pp: number of apartment with 2 rooms in each transaction - nbapt3pp: number of apartment with 3 rooms in each transaction - nbapt4pp: number of apartment with 4 rooms in each transaction - nbapt5pp: number of apartment with 5 and more rooms in each transaction - nbmai1pp: number of house with 1 room in each transaction - nbmai2pp: number of house with 2 rooms in each transaction - nbmai3pp: number of house with 3 rooms in each transaction - nbmai4pp: number of house with 4 rooms in each transaction - nbmai5pp: number of house with 5 and more rooms in each transaction - pm2mean_comm: average transaction price in euro per square meter of commune - dvfmonument_nb500: number of historical monuments between 0 and 500 meters from transacted property - dvfmonument_nb1000: number of historical monuments between 500 and 1000 meters from transacted property - dvfmonument_nb2000: number of historical monuments between 1000 and 2000 meters from transacted property - dvfindus_nb500: number of active industrial sites between 0 and 500 meters from transacted property - dvfindus_nb1000: number of active industrial sites between 500 and 1000 meters from transacted property - dvfindus_nb2000: number of active industrial sites between 1000 and 2000 meters from transacted property - sh_apt: share of apartments in neighborhood IRIS - sh_1945: share in percentage of properties with a building age before 1945 - sh_1970: share in percentage of properties with a building age before 1970 - sh_1990: share in percentage of properties with a building age before 1990 - sh_ap90: share in percentage of properties with a building age between 1990 and 2015 - sh_2015: share in percentage of properties with a building age after 2015 - clc1000_urbanhousing: share in percentage of land within 1000 meters of transacted properties with housing - clc1000_urbanpark: share in percentage of land within 1000 meters of transacted properties with urban parks - clc1000_recreation: share in percentage of land within 1000 meters of transacted properties with recreative activities - clc1000_industrial: share in percentage of land within 1000 meters of transacted properties with industrial activities - clc1000_transport: share in percentage of land within 1000 meters of transacted properties with transport infrastructures - clc1000_nature: share in percentage of land within 1000 meters of transacted properties with natural land use - clc1000_agr: share in percentage of land within 1000 meters of transacted properties with agricultural land use - clc1000_forest: share in percentage of land within 1000 meters of transacted properties with forest - clc1000_water: share in percentage of land within 1000 meters of transacted properties with water

This statistic presents the price evolution of agricultural land and meadows between 1997 and 2018 in the French region Provence-Alpes-Côte d'Azur. The price of agricultural land in Provence-Alpes-Côte d'Azur has been rising steadily since 1997, reaching an all-time high of 12,360 euros per hectare in 2011.

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Agribusiness Market Size 2025-2029

The agribusiness market size is forecast to increase by USD 843.4 million, at a CAGR of 4.6% between 2024 and 2029.

The market is experiencing significant shifts driven by population growth, which is leading to an increased demand for food production. This trend is placing immense pressure on the industry to find innovative solutions to meet the rising demand, particularly in the context of a shrinking amount of arable land. One response to this challenge is the adoption of automation in agriculture, with technologies such as precision farming, drones, and robotics gaining traction. These solutions aim to optimize resource usage and increase efficiency, enabling farmers to produce more with less land. However, the implementation of automation also presents challenges, including high upfront costs and the need for significant investment in technology and infrastructure.
Additionally, regulatory compliance and data security concerns add complexity to the adoption process. To capitalize on the market opportunities presented by population growth and the need for more efficient agriculture, companies must navigate these challenges and invest in technologies that can help them stay competitive while addressing the sustainability and productivity demands of the industry.

What will be the Size of the Agribusiness Market during the forecast period?

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The market continues to evolve, shaped by various dynamics that impact different sectors. Land use patterns are shifting, with an increasing focus on carbon sequestration and sustainable farming practices. Precision agriculture is revolutionizing yield optimization, while food processing and packaging technologies advance to ensure food safety and traceability. Seed production and agricultural biotechnology are driving innovation in crop production, and harvesting equipment is becoming more efficient and eco-friendly. Food security remains a critical concern, leading to the adoption of irrigation systems, biodiversity conservation, and sustainable farming practices. Livestock feed and breeding are undergoing transformations, with a focus on disease prevention and environmental sustainability.

Pest control methods are evolving, with a shift towards more natural and less harmful alternatives. Supply chain management is becoming more complex, with the integration of farm management software and crop rotation techniques. Water conservation is a priority, with new technologies and practices emerging to address this challenge. Agribusiness investment is on the rise, driven by market volatility and price fluctuations due to climate change adaptation and commodity trading. Direct marketing and consumer dietary trends are influencing food distribution, with a growing demand for locally sourced and organic produce. Vertical farming and agricultural finance are gaining traction, offering solutions to land tenure issues and providing access to capital for small-scale farmers.

The ongoing unfolding of these market activities and evolving patterns underscores the continuous nature of the agribusiness landscape.

How is this Agribusiness Industry segmented?

The agribusiness industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Grains and cereals
  Dairy
  Oilseeds
  Livestock
  Others


Application

  Agrichemicals
  Seed business
  Breeding
  Machinery and equipment


Technology

  Traditional agriculture
  Mechanized farming
  Precision agriculture and smart farming
  Organic and sustainable Farming


Distribution Channel

  Retail chains and supermarkets
  Wholesale distribution
  Direct-to-consumer
  Food processing and manufacturing companies


Farm Size

  Small-Scale Farms
  Medium-Scale Farms
  Large-Scale Farms


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Argentina
    Brazil


  Rest of World (ROW)

.

By Product Insights

The grains and cereals segment is estimated to witness significant growth during the forecast period.

The market encompasses various sectors, including grains and cereals, dairy production, land use, carbon sequestration, agricultural machinery, organic farming, yield optimization, food security, irrigation systems, biodiversity conservation, supply chain management, livestock feed, livestock breeding, pest control, poultry farming, government subsidies, farm management software, crop rotation, water conservati

The Fruit and Vegetable Processing industry is undergoing significant changes as processors grapple with evolving consumer preferences, technological advancements and stringent regulatory requirements. Recent challenges, including declining sales of organic foods due to financial constraints and rising costs associated with compliance and eco-friendly packaging, have squeezed processors’ profit. Nonetheless, soaring food price inflation has caused a substantial rise in revenue. Over the five years through 2025, revenue is projected to swell at a compound annual rate of 6.4% to reach €13.6 billion, despite being forecast to drop by 4.5% in 2025. The processing industry has made noteworthy strides with the adoption of advanced technologies in recent years, enhancing product efficiency and shelf life while reducing labour costs through automation. As manufacturers vie for a competitive edge, investment in digital solutions has become paramount. However, the market has also seen increased consolidation as processors seek economies of scale. There have also been major legislative pushes, like France’s 2020 anti-waste law, driving processors towards more sustainable operations – companies have invested in innovative packaging solutions to meet strict environmental mandates, boosting costs. The industry will continue to transform over the next five years. With inflation stabilising and consumer incomes improving, demand for organic products is expected to bounce back in the future, supporting processors’ revenue. Government initiatives, including a push to convert 25% of agricultural land to organic by 2030 and €90 million in aid for the organic sector, will further promote organic demand. Nonetheless, processors will face escalating compliance costs tied to ambitious climate and environmental targets, such as the EU’s goal to cut greenhouse gas emissions by over half by 2030 compared with 1990 levels and France’s plan to eliminate single-use plastics by 2040. Still, fruit and vegetable processing revenue is anticipated to rise at a compound annual rate of 0.9% over the five years through 2030 to reach €14.3 billion.

The French prepared meal production industry has been navigating a challenging landscape marked by fluctuating ingredient costs and evolving consumer preferences. As prices for major food ingredients like grains, meat and vegetables soared to historic highs, meal manufacturers have been compelled to adapt. The sector saw significant hikes in producer prices, with an 11.6% rise in 2022 and an additional 13.5% in 2023, according to Eurostat. This was partially offset by passing on costs to consumers, which has helped expand industry revenue. Overall, industry revenue is projected to climb at a compound annual rate of 1.7% over the five years through 2025 to reach €4.9 billion. More recently, there’s been a slight easing in costs, particularly for providing some respite to processors and driving down retail prices marginally, causing an estimated 1.7% drop in revenue in 2025. Shifting dietary trends and regulatory changes have heavily influenced the industry's trajectory. The surge of vegetarian and vegan diets has driven meal makers to diversify their offerings, bolstered by the proliferation of better meat alternatives. Sales of plant-based ready meals surged by 27.8% from 2021 to 2023, capturing an increasing market share. Simultaneously, ever-growing health consciousness among consumers has necessitated reformulations to reduce sugar, salt and fat in products. This has led to an influx of special dietary prepared meals hitting the market and forced established manufacturers to launch their own health-minded ranges. The EU's Farm to Fork Strategy will push for a more sustainable food supply chain, influencing ingredient costs positively and negatively. The projected growth in organic farming, targeting 25% of agricultural land by 2030, offers potential profit boosts but also demands significant investment. There's also anticipation around the potential disruption from cultured meat, which could drastically cut costs if regulatory landscapes permit its growth. However, the French government's tentative stance echoes Italy's ban on cultured meat, suggesting potential hurdles. As the industry leans towards eco-friendly and health-conscious trends, innovation will be crucial for capturing market share in an increasingly competitive and regulated market. Overall, the market is projected to grow at a compound annual rate of 0.5% over the five years through 2030, reaching €5.0 billion.

This statistic presents the price evolution of agricultural land and meadows between 1997 and 2020 in the Grand-Est region. Land prices have risen steadily from 1997 until 2015; since then prices remained between ***** and ***** euros per hectare.

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Agriculture Analytics Market Size 2024-2028

The agriculture analytics market size is forecast to increase by USD 1.23 billion at a CAGR of 12.97% between 2023 and 2028. The market is experiencing significant growth due to the increasing demand for food production to meet the needs of a growing global population. Infrastructure development, including the integration of artificial intelligence (AI) and smart farming technologies, is a key driver in this market. Smart farming practices, such as field planning and irrigation management, are becoming increasingly important for sustainable agricultural production. However, the high cost of implementing analytics in agriculture remains a challenge for many farmers and agribusinesses, particularly in developing countries. Despite this, the long-term benefits of using data analytics insights to optimize farming practices are expected to outweigh the initial investment costs. By utilizing AI and other advanced technologies, farmers can optimize their operations, improve crop yields, and reduce water usage, ultimately leading to more sustainable and profitable farming practices. The market is expected to continue growing as more farmers adopt these technologies to meet the demands of a changing agricultural landscape.

What will be the Size of the Market During the Forecast Period?

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The market is witnessing significant growth as farmers and agricultural businesses seek to enhance their productivity and efficiency. This market is driven by the increasing demand for food production to meet the growing population and the need to address various challenges in the agricultural sector. Cloud computing and internet of things (IoT) technologies are playing a crucial role in the market. Farmers can now collect vast amounts of data from various sources, including weather data analytics, crop growth monitoring, land preparation, and farm operations. This data is then analyzed using predictive models to optimize farm output and improve efficiency.

Moreover, positioning systems and navigation satellite systems, such as those used in drones, are also contributing to the market. These technologies enable farmers to monitor their crops and livestock with precision, ensuring optimal growth conditions and preventing potential losses. Crop management is a significant application area for agriculture analytics. By analyzing data on soil degradation, climatic conditions, and crop growth patterns, farmers can make informed decisions on land preparation, irrigation, and fertilizer application. This results in improved crop yields and reduced waste. Livestock farming is another area where agriculture analytics is making a significant impact. Livestock analytics provides farmers with insights into animal health and productivity, enabling them to optimize feeding and breeding programs.

Also, this leads to increased profitability and improved animal welfare. Aquaculture analytics is another emerging application area in the market. By monitoring water quality, fish behavior, and environmental conditions, farmers can optimize fish farming operations and reduce the risk of disease outbreaks. The market offers both cloud deployment and on-premises deployment options. Cloud deployment provides farmers with the flexibility to access data and insights from anywhere, while on-premises deployment offers greater control over data security. Data Security is a critical concern in the market. Farmers must ensure that their data is protected from unauthorized access and cyber threats.

Additionally, advanced security measures, such as encryption and access controls, are essential to safeguard sensitive agricultural data. In conclusion, the market is transforming the agricultural sector by providing farmers and agricultural businesses with data-driven insights to optimize their operations, increase productivity, and improve efficiency. The market is driven by the growing demand for food production and the need to address various challenges in the agricultural sector, including climatic conditions, soil degradation, and positioning systems. By leveraging cloud computing, IoT, and advanced analytics techniques, farmers can make informed decisions and improve their bottom line.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Solutions
  Services


Application

  Precision farming
  Livestock monitoring
  Aquaculture farming
  Vertical farming
  Others


Geography

  North America

    Canada
    US


  Europe

    UK


  APAC

    China
    Japan


  South America



  Middle East and Africa

By Type Insights

The solutions segment is estimated to witness significant growth during the f