Veterinary Software Market driven by Web-Based/Cloud-Based Models

The global veterinary software market is expected to reach USD 594.3 Million by 2022 from USD 421.4 Million in 2016, at a CAGR of 6.1%. The base year considered for the study is 2016 and the forecast period is from 2017 to 2022.

(EMAILWIRE.COM, August 14, 2018 ) The objectives of this study are as follows:
To define, describe, and forecast the global veterinary software market on the basis of product, practice type, delivery model, type, end user, and region
To provide detailed information regarding the major factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
To strategically analyze micromarkets with respect to individual growth trends, future prospects, and contributions to the overall market
To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for the market leaders
To forecast the size of the market with respect to five regions: North America, Europe, Asia Pacific, and the Rest of the World
To profile the key players and comprehensively analyze their product portfolios, market positions, and core competencies
To track and analyze competitive developments in the veterinary software market, such as agreements, collaborations, acquisitions, product launches, expansions, and R&D activities

Full Report : https://www.marketsandmarkets.com/Market-Reports/veterinary-software-market-186264514.html

Research Methodology
The study estimates the veterinary software market size for 2017 and projects its demand till 2022. In the primary research process, various sources from both demand side and supply side were interviewed to obtain qualitative and quantitative information for the report. Primary sources from the demand side included hospitals, research institutes, and laboratories.

For the market estimation process, both top-down and bottom-up approaches were used to estimate and validate the market size of the veterinary software market as well as to estimate the market size of various other dependent submarkets. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. This data was consolidated and added to detailed inputs and analysis from MarketsandMarkets and presented in this report.

Download PDF Brochure : https://www.marketsandmarkets.com/pdfdownload.asp?id=186264514

This report segments the global market into product, delivery model, practice type, type, end user, and region. Based on product, the market is segmented into practice management software, veterinary imagining software, and other software. In 2017, the practice management software segment accounted for the largest share of the total market. Practice management software reduces the possibilities of error and the overall cost of a veterinary healthcare facility.

Full Press release : https://www.prnewswire.com/news-releases/veterinary-software-market-worth-5943-million-usd-by-2022-679269833.html

Based on practice type, the veterinary software market is segmented into exclusive small animal practices, mixed animal practices, and exclusive large animal practices. The exclusive small animal practices segment is expected grow at the highest CAGR during the forecast period. This growth is attributed to the increasing number of small pet owners and rising annual spending on pet care in developed countries.

Based on end user, this market is segmented into veterinary hospitals & referral practices, clinics & ambulatory practices, and specialty & emergency hospitals. The veterinary hospitals and referral practices segment is expected to be the fastest growing during the forecast period. This growth is attributed to the extensive usage of veterinary software for the preparation, management, and analysis of patient databases for daily/weekly/annual animal hospital visits, monitoring veterinarians, and for easy and quick data accessing and sharing.