Milking Robots Market Size, Growth Analysis, Growth Demands, Forecast to 2033

Overview and Scope

Milking robots are automatic milking systems or devices that milk the cattle without direct human labor and help in reducing cost, automating the milking process, and increasing efficacy by collecting data on the cattle. The milking robots are used to extract milk from the cattle without direct contact and collect data regarding the cattle.

Sizing and Forecast

The milking robots market size has grown rapidly in recent years. It will grow from $2.63 billion in 2023 to $3 billion in 2024 at a compound annual growth rate (CAGR) of 14.3%. The growth in the historic period can be attributed to farm modernization, precision agriculture demands, cost of labor, rise in farm size, regulatory changes, animal welfare focus.

The milking robots market size is expected to see rapid growth in the next few years. It will grow to $5.21 billion in 2028 at a compound annual growth rate (CAGR) of 14.8%. The growth in the forecast period can be attributed to sustainability and efficiency demands, data analytics integration, global farm size changes, cost-effectiveness forecast, labor shortages prediction. Major trends in the forecast period include software updates & upgrades, automation for increased productivity, emphasis on cow comfort, adoption in small-scale farms, remote monitoring & control.

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Segmentation & Regional Insights

The milking robots market covered in this report is segmented –

1) By System Type: Single-Stall Unit, Multi-Stall Unit, Automated Milking Rotary
2) By Offering: Hardware, Software, Services
3) By Herd Size: Below 100, Between 100 and 1,000, Above 1,000

Europe was the largest region in the milking robots market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the milking robots market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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Major Driver Impacting Market Growth

The increase in demand to reduce labor costs through automation is expected to propel the growth of the milking robots market going forward. Automation refers to the creation and application of various technologies to deliver any good or service with minimum human interaction and intervention. Milking robots that use automation can reduce labor costs by milking more cows in less time without requiring more labor to maintain a farm. For instance, in May 2022, Miltrim Farms, a US-based farm with 1800 cows, automated the farm by installing 30 box barn milking robots to decrease labor. The farm added 1,200 cows without adding any additional labor, and only six full-time employees run the 1800 farm. Therefore, increasing demand to reduce labor costs through automation is driving the growth of the milking robots market.

Key Industry Players

Major companies operating in the milking robots market report are GEA Group Aktiengesellschaft, Pearson International LLC, Lely Holding S.à r.l., DeLaval AB, Paul Mueller Company, Eurotec GmbH, Afimilk Agricultural Cooperative Ltd., Interpuls GmbH, Fullwood Packo Ltd., Dairymaster International Ltd., FutureDairy Pty Ltd., Milkplan SA, Hokofarm Group B.V., Rovibec Agrisolutions Inc., Rotec Engineering B.V., C-Lock Inc., ADF Milking Ltd., Milkomax Solutions Laitieres, DairyTech Inc., Icerobotics Ltd., AMS Galaxy USA Inc., System Happel GmbH & Co KG, VMS Robotics BV, GEDOSEN S.A., DairyRobotics LLC, Wadleren Robotics, Milking Automation Pty Ltd., Scruton Dairy Services Ltd., RoboCow BV, Robotic Milking Systems BV

The milking robots market report table of contents includes:

1. Executive Summary
2. Milking Robots Market Characteristics
3. Milking Robots Market Trends And Strategies
4. Milking Robots Market – Macro Economic Scenario
5. Global Milking Robots Market Size and Growth
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32. Global Milking Robots Market Competitive Benchmarking
33. Global Milking Robots Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Milking Robots Market
35. Milking Robots Market Future Outlook and Potential Analysis
36. Appendix

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