In 2023, the total production value of the agricultural livestock industry in Japan amounted to around **** trillion Japanese yen, up from about **** trillion yen in the previous year. Dairy cattle farming generated the highest output within the domestic livestock sector, followed by poultry farming.

In 2023, almost *** million laying hens were kept at farms in Japan, making layers the most commonly raised animal type within the Japanese livestock farming industry. Across the Japanese animal husbandry sector, milk cows showed the lowest livestock numbers.

Japan JP: Production Index: 2004-2006: Livestock data was reported at 101.370 2004-2006=100 in 2016. This records an increase from the previous number of 100.970 2004-2006=100 for 2015. Japan JP: Production Index: 2004-2006: Livestock data is updated yearly, averaging 100.165 2004-2006=100 from Dec 1961 (Median) to 2016, with 56 observations. The data reached an all-time high of 108.620 2004-2006=100 in 1992 and a record low of 30.250 2004-2006=100 in 1961. Japan JP: Production Index: 2004-2006: Livestock data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Agricultural Production Index. Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins.; ; Food and Agriculture Organization, electronic files and web site.; Weighted average;

In the fiscal year 2022, the market size for smart dairy and livestock farming in Japan amounted to around **** billion Japanese yen. It was forecast to decrease in the coming years, but then increase again to over ** billion yen by 2027.

In 2023, vegetable production generated the highest output within the Japanese agricultural sector, reaching more than *** trillion Japanese yen. The production value of rice was the second-highest figure during the same year, followed by the output generated through chicken farming.  Farming in Japan As the largest employer in Japan, the agricultural sector was vital for the economy post World War II. However, like most industrialized countries, the number of commercial farm households has since decreased drastically and the average age of workers engaged in farming today increased to close to 68 years.Japans geography further complicates farming. Only about ** percent of the land is suitable for cultivation and the land regularly suffers damages by natural disasters, such as earthquakes or typhoons, costing billions of yen every year.  Vegetables in traditional Japanese cooking The Japanese diet is well-known for its health benefits, including a variety of fresh, seasonal vegetables in most meals. Vegetables are oftentimes served steamed, deep-fried, or boiled. Tsukemono (pickled vegetables) are a more traditional way of enjoying vegetables in the Japanese cuisine. Typically, vegetables like Japanese radish, ginger, or cucumber are pickled in brine and served as a side dish with rice or as a small snack accompanying alcoholic beverages.

Forecast: Livestock Gross Production in Japan 2023 - 2027 Discover more data with ReportLinker!

Japan Smart Agriculture Market is estimated to reach USD 651 Million by 2033, Riding on a Strong 11.8% CAGR throughout the forecast period.

The Japanese feed additive market, valued at approximately ¥650.43 million in 2025, is projected to experience robust growth, exhibiting a compound annual growth rate (CAGR) of 5.56% from 2025 to 2033. This expansion is driven by several key factors. Firstly, the increasing demand for animal protein in Japan necessitates efficient and sustainable livestock farming practices. Feed additives play a crucial role in enhancing animal health, productivity, and feed efficiency, leading to higher yields and reduced production costs. Secondly, growing consumer awareness of food safety and animal welfare is pushing the adoption of high-quality feed additives that promote animal health and minimize the use of antibiotics. This trend is particularly evident in the poultry and swine segments, where the demand for natural and organic feed additives is steadily rising. Furthermore, governmental regulations promoting sustainable agriculture and stricter standards for livestock feed are creating opportunities for innovative and high-performance feed additive solutions. The market is segmented by additive type (antibiotics, vitamins, antioxidants, amino acids, etc.) and animal type (ruminants, poultry, swine, etc.), offering diverse avenues for growth. Major players like Novozymes, Japan Nutrition Co. Ltd., Chr. Hansen, BASF, and Alltech are actively involved in developing and supplying advanced feed additives, fueling market competition and innovation. Despite the positive outlook, the market faces certain challenges. Fluctuations in raw material prices and potential regulatory changes could impact profitability. The competitive landscape, characterized by both large multinational corporations and smaller specialized companies, necessitates continuous innovation and strategic partnerships to maintain market share. However, the long-term prospects remain positive, driven by the continued growth in livestock production, increasing focus on animal health and welfare, and the rising adoption of technologically advanced feed additives. The market's diverse segmentation allows for targeted marketing strategies and specialized product development, further enhancing its growth potential. Specific regional variations within Japan might also influence the growth rate in different prefectures. This comprehensive report provides a detailed analysis of the Japanese feed additive market, offering invaluable insights into its current state, future trajectory, and key players. Covering the historical period (2019-2024), base year (2025), and forecast period (2025-2033), this study unveils the market dynamics shaping this crucial sector of Japan's agricultural industry. The report utilizes data valued in millions of units to illustrate market size and growth. Key drivers for this market are: Increased Demand for Meat, Initiatives By the Key Players; Focus on Animal nutrition and Health. Potential restraints include: Shift Toward Vegan- Based Diet, Changing Raw Material Prices and Strict Government Rules to Restrict Market Growth. Notable trends are: Shift in Consumer Preference Towards Meat and Animal Sourced Products.

Licensed under: Attribution-NonCommercial-NoDerivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode

Japanese Black Beef Cow Behavior Classification Dataset

This dataset contains tri-axial accelerometer sensor data with thirteen different labeled cow behaviors. This data was gathered with a 16bit +/- 2g Kionix KX122-1037 accelerometer attached to the neck of six different Japanese Black Beef Cows (cow1.csv-cow6.csv) at a cow farm of Shinshu University in Nagano, Japan on the 12th of June, 2020.

The data gathering took place over the course of one day in which the cows were allowed to roam freely in two different areas, namely, a grass field and farm pens, while being filmed with Sony FDR-X3000 4K video cameras.

The timestamps of the video and accelerometer data were matched while human observers which included behavior experts and non-experts labeled the data from the video footage. The labeling and data gathering took a total of 69 person-hours.

567 minutes of unlabeled data were parsed into 197 minutes of high-quality labeled data comprising thirteen behaviors by means of majority voting with three annotators. The time per behavior in number of samples (@25Hz) and their respective descriptions are shown in the following table:

    Cow 1
    Cow 2
    Cow 3
    Cow 4
    Cow 5
    Cow 6
    Description




    RES
    35814
    47059
    20501
    15735
    11025
    19996
    Resting in standing position


    RUS
    1620
    25930
    11156
    14523
    0
    0
    Ruminating in standing position


    MOV
    6376
    8437
    7532
    17248
    4846
    5760
    Moving


    GRZ
    2416
    2199
    0
    2707
    2442
    7849
    Grazing


    SLT
    204
    0
    10654
    0
    0
    0
    Salt licking


    FES
    6809
    0
    0
    0
    1125
    0
    Feeding in stanchion


    DRN
    1176
    0
    1300
    0
    0
    0
    Drinking


    LCK
    0
    0
    649
    297
    0
    356
    Licking


    REL
    0 
    360
    0
    404
    0
    0
    Resting in lying position


    URI
    239
    0
    383
    0
    0
    0
    Urinating


    ATT
    57
    50
    0
    62
    0
    197
    Attacking


    ESC
    0
    0
    0
    128
    0
    0
    Escaping


    BMN
    0
    54
    0
    0
    0
    0
    Being mounted


    ETC
    105917
    103084
    129297
    62064
    53922
    100571
    Other behaviors


    BLN
    151249
    82599
    88431
    111744
    61544
    45128
    Data without video, no label


    Sum
    311876
    269772
    269903
    224912
    134904
    179857

Accelerometer sampling rate was set to 25Hz.

The data is split into six .csv files which represents each of the 6 cows above. The columns of these files are defined as follows:

    TimeStamp_UNIX [-]
    TimeStamp_JST [-]
    AccX [g]
    AccY [g]
    AccZ [g]
    Label [-]




    GPS timestamp in UNIX
    GPS timestamp in JST
    X-axis acceleration
    Y-axis acceleration
    z-axis acceleration
    labeled behavior

The gathering of this data with these cows was reviewed and approved by the Institutional Animal Care and Use Committee of Shinshu University.

Version History

v1.0.0: Release on 24th of September, 2021. First version.

v2.0.0: This version. UNIX and Japan Standard Time (JST) time stamps are added for each .csv file of cow1-6. Added explanations of behaviors for ETC and BLN. More information on publications that use this dataset, data logger software that has been developed for this project.

Data logger open source software

Software developed for the data logger that was used to gather this dataset, Sony's IoT development board SPRESENSE, CXD5602PWBMAIN1. The function of this data logger is to write inertia sensor data along with timestamps. Timestamp data is corrected with GPS signal. Available in Arduino development environment.

https://zenodo.org/record/5848608#.YeFF9NHP3Z8

Publications using this dataset

[1] Li, Chao, et al. "Data Augmentation for Inertial Sensor Data in CNNs for Cattle Behavior Classification." IEEE Sensors Letters 5.11 (2021): 1-4.

[2] Bartels, Jim, et al. "A 216 microW, 87% Accurate Cow Behavior Classifying Decision Tree on FPGA With Interpolated Arctan2." 2021 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2021.

Japan Consumer Price Index (CPI): Goods: Other Agricultural, Aquatic & Livestock Products data was reported at 195.300 2020=100 in Mar 2025. This records an increase from the previous number of 182.600 2020=100 for Feb 2025. Japan Consumer Price Index (CPI): Goods: Other Agricultural, Aquatic & Livestock Products data is updated monthly, averaging 99.900 2020=100 from Jan 1970 (Median) to Mar 2025, with 663 observations. The data reached an all-time high of 195.300 2020=100 in Mar 2025 and a record low of 40.800 2020=100 in Jan 1970. Japan Consumer Price Index (CPI): Goods: Other Agricultural, Aquatic & Livestock Products data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.I002: Consumer Price Index: 2020=100.

Japan JP: GDP: Growth: Gross Value Added: Agriculture data was reported at -13.107 % in 2016. This records a decrease from the previous number of -4.822 % for 2015. Japan JP: GDP: Growth: Gross Value Added: Agriculture data is updated yearly, averaging -1.018 % from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 7.489 % in 2008 and a record low of -13.107 % in 2016. Japan JP: GDP: Growth: Gross Value Added: Agriculture data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank: Gross Domestic Product: Annual Growth Rate. Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted Average; Note: Data for OECD countries are based on ISIC, revision 4.

Japan IMPI: W: OPM: Inedible Agriculture, Livestock & Fishery Pdts (IALF) data was reported at 4.500 Per 1000 in May 2012. This stayed constant from the previous number of 4.500 Per 1000 for Apr 2012. Japan IMPI: W: OPM: Inedible Agriculture, Livestock & Fishery Pdts (IALF) data is updated monthly, averaging 4.500 Per 1000 from Jan 2005 (Median) to May 2012, with 89 observations. The data reached an all-time high of 4.500 Per 1000 in May 2012 and a record low of 4.500 Per 1000 in May 2012. Japan IMPI: W: OPM: Inedible Agriculture, Livestock & Fishery Pdts (IALF) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I365: Import Price Index: 2005=100: Weight.

Japan IMPI: W: FF: Edible Agriculture, Livestock & Fishery Products (ALF) data was reported at 21.600 Per 1000 in Apr 2022. This stayed constant from the previous number of 21.600 Per 1000 for Mar 2022. Japan IMPI: W: FF: Edible Agriculture, Livestock & Fishery Products (ALF) data is updated monthly, averaging 21.600 Per 1000 from Jan 2015 (Median) to Apr 2022, with 88 observations. The data reached an all-time high of 21.600 Per 1000 in Apr 2022 and a record low of 21.600 Per 1000 in Apr 2022. Japan IMPI: W: FF: Edible Agriculture, Livestock & Fishery Products (ALF) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I200: Import Price Index: 2015=100: Weight.

Japan Digital Agriculture/Farming market is projected to reach USD 2.02 Billion by 2035, growing steadily at a CAGR of 9.24%

PERIOD: End of each FY 1928-1937. By prefecture at the end of FY 1937. SOURCE: Statistical Yearbook of Ministry of Agriculture and Forestry Japan.

The Japan Compound Feed Market size was valued at USD 15.63 Billion in 2024 and is projected to reach USD 21.83 Billion by 2032, growing at a CAGR of 4.2% from 2026 to 2032.

Key Market Drivers:

• Rising Demand for Animal Protein: The demand for animal protein in Japan is rising, driven by consumer preference for meat products. According to the Ministry of Agriculture, Forestry and Fisheries (MAFF), Japan’s per capita meat consumption has increased by 3.6% between 2022 and 2023. This growing trend in animal protein consumption leads to a higher demand for animal feed, particularly compound feed, which is essential for the livestock industry. The trend is supported by the country’s evolving food consumption patterns, especially in urban areas.

• Increasing Livestock Production: Japan is experiencing increasing livestock production, which directly boosts the need for compound feed.

Japan PPI: AFFP: Livestock Products (LP) data was reported at 127.100 2010=100 in Dec 2016. This records an increase from the previous number of 125.000 2010=100 for Nov 2016. Japan PPI: AFFP: Livestock Products (LP) data is updated monthly, averaging 107.200 2010=100 from Jan 2010 (Median) to Dec 2016, with 84 observations. The data reached an all-time high of 131.500 2010=100 in Dec 2015 and a record low of 89.500 2010=100 in Jan 2012. Japan PPI: AFFP: Livestock Products (LP) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I096: Producer Price Index: 2010=100: Agricultural, Forestry & Fishery Products.

Snapshot img

Smart Livestock Market Size 2024-2028

The smart livestock market size is forecast to increase by USD 7.45 billion, at a CAGR of 10.5% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing prioritization of environmental sustainability in agriculture. Farmers are recognizing the benefits of implementing smart technologies to optimize livestock farming, reduce waste, and improve animal welfare. This trend is further fueled by the continuous launch of innovative new products, which offer advanced features such as real-time monitoring, automated feeding, and health tracking. However, the high initial investment required for implementing these technologies poses a challenge for smaller farms and livestock producers.
This investment includes not only the cost of purchasing the hardware and software but also the ongoing maintenance and training needed to effectively utilize the technology. To capitalize on the market opportunities, companies should focus on offering flexible financing options, affordable pricing structures, and comprehensive support services. By addressing these challenges, they can help more farmers transition to smart livestock farming and expand their customer base.

What will be the Size of the Smart Livestock Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The market continues to evolve, integrating advanced technologies to enhance livestock production and improve overall efficiency. Water conservation techniques, such as precision irrigation and sensor networks, are essential in managing resources while reducing environmental impact. Swine monitoring and poultry monitoring systems enable real-time animal health assessments, reducing production costs through disease prevention strategies and early detection. Veterinary telemedicine and animal identification systems facilitate remote consultations and precise record-keeping, ensuring certification programs and animal welfare standards are met. Livestock health records, farm management practices, and genomic selection are seamlessly integrated, allowing for predictive analytics and yield optimization strategies.

Precision livestock farming and animal behavior tracking enable farmers to monitor and adjust feeding systems, automate milking, and implement biosecurity measures. Precision breeding programs and feed efficiency analysis contribute to sustainable livestock production, while cloud-based data storage and data analytics platforms enable farmers to make informed decisions. Ruminant monitoring, livestock insurance, and machine learning models help manage greenhouse gas emissions and market price fluctuations. Automated feeding systems and remote monitoring systems ensure optimal animal health and welfare, while dairy farming optimization and livestock management software streamline operations. Biometric identification, artificial insemination, and wearable sensors contribute to precision breeding and disease prevention.

Industry standards and RFID tags ensure traceability and transparency, while precision irrigation and sensor networks reduce water usage and promote environmental impact reduction. In this ever-changing market, continuous innovation and adaptation are key to success. From veterinary care to farm management, the integration of technology is transforming the livestock industry, enabling more efficient, sustainable, and cost-effective production.

How is this Smart Livestock Industry segmented?

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

End-user

  Farmers and agricultural cooperatives
  Veterinary clinics
  Research institutes


Product

  Hardware
  Software
  Services


Geography

  North America

    US


  Europe

    France
    Germany
    Spain
    UK


  APAC

    Australia
    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

.

By End-user Insights

The farmers and agricultural cooperatives segment is estimated to witness significant growth during the forecast period.

In the dynamic market, farmers and agricultural cooperatives in the US are leading the charge towards more sustainable and efficient livestock production. Grasslands, which constitute the largest agricultural land use, are at the forefront of this movement, offering potential for carbon sequestration and agricultural advancements. Farmers are embracing climate-smart practices, such as planting native warm-season grasses, interseeding legumes, and utilizing biochar amendments to improve soil quality. Additionally, enhanced grazing management tech

PERIOD: 1924-1933. NOTE: (Value in yen). SOURCE: Statistical Yearbook of Ministry of Agriculture and Forestry Japan.

Beef cattle farming in Japan reached a production value of approximately *** billion Japanese yen in 2023. The output generated through domestic beef cattle farming showed an overall growth over the past decade, indicating a change in food preferences and eating behavior in Japan.