Animals, especially pets share a very close and deep relationship with people, and this bond has only grown over the years. Now, when an animal is unwell, people are more inclined to invest in healthcare and treatment, giving a significant boost to the animal healthcare and veterinary services industry.
The growing demand for animal products such as milk, eggs and meat, is increasing with the increase in population. To meet this demand, animals are being crammed into smaller spaces and in unhygienic conditions that are leading to the evolution and spreading of various types of diseases and infections. To counter these diseases, farmers and pet owners are rely on veterinary drugs and services.
With the discovery of new diseases affecting animals, the opportunities in the animal health care market are also increasing at a rapid pace. Healthcare companies are investing in research and development to develop solutions for existing and new diseases that affect animals all around the world.
The major developments in the animal healthcare services field are expected to take place in western countries. Meanwhile, regions such as Asia Pacific, Latin America, Middle East, and Africa are expected to witness major growth in the animal healthcare sector.
The increase in adoption rates of shelter animals in the US is going to drive the growth of the animal health care and veterinary sector in the region. Japan will witness the lowest growth in this sector due to lower adoption rates of pets in that region. The demand for both companion and commercial animals is increasing and with that, the health care sector for animals is also flourishing. Apart from efficiency in healing pets, owners are also seeking animal healthcare solutions that are cost-effective and long-lasting.
What Is Machine Learning?
Machine learning is also known as artificial intelligence technology that allows learning from past actions, behaviors, and mistakes. Nowadays, machine learning has wide applications in many fields including medicine, education, banking, telecommunication, human health, and the veterinary field.
In the field of animal healthcare, machine learning is mostly used in prediction of diseases and the identification of the risk factors associated with these diseases.
Although machine learning is new in the veterinary sector, there is a lot of scope and opportunities available in this field. Devices such as smart cameras, wearables devices, and sensors are witnessing high demands for pet and farm animals. These devices, similar to human clinical wearable devices, use machine learning algorithms to collect high accuracy data as required.
Use Of Machine Learning
There are lots of analytical tools available that are based on examining collected data to find patterns and trends of diseases. Machine learning is a part of artificial intelligence that can provide real-time data and analysis that has much more value and accuracy. By measuring real-time data and analyzing certain diseases and how they are spreading and evolving with time, more exact and valuable insights can be identified. It can also help in finding the cause of disease and help in predicting disease pattern on the basis of animal breed, geography, and other factors. Such devices can also be used to monitor the results of the treatment given to the animal. It can help farmers, veterinarians and drug companies get more awareness of animal health care.
The use of smart cameras offers many benefits in the animal health care and veterinary sector. There are cameras available that can use face recognition technology to find or identify individual animals. Many scientists and doctors are using these cameras to observe the behavior of animals in certain situations and also collecting data of individual animals for studies. Wearables and sensors also help in keeping track of pets and in finding lost animals.
With the help of machine learning, it is also very easy to keep the track record of vaccines that have already been given and those that need to be given at a certain time to maintain the health of animals.
Automated veterinary diagnostic tools can help veterinarians in diagnosing diseases and their cause and react accordingly by suggesting appropriate treatment. Machine learning can help veterinarians in the treatment of animal diseases without risking getting infected from them. With the help of technology, veterinarians can perform surgeries, give stitches and provide fracture treatment with very high accuracy. It can also help in treating cancers by performing operations on the infected parts of animals.
Machine learning is a major driver of productivity and efficiency in different sectors, and the animal health care sector is no different. Aiding in illness prevention, diagnoses, and treatment, machine learning has multiple roles to play. In the coming years, more and more technologies will get implemented in the animal healthcare and veterinary services sector.