April 23, 2024
Prescriptive Analytics Market

Prescriptive Analytics Market is Estimated to Witness High Growth Owing to Advancements in Artificial Intelligence

The prescriptive analytics market has seen immense growth in recent years. Prescriptive analytics utilizes data and algorithms to not only analyze past performance but also recommend optimal future decisions. With prescriptive analytics solutions, businesses can determine the likely outcome of different decisions and actions during strategic decision making. Prescriptive analytics also incorporates advanced AI and machine learning techniques to provide customized and automated recommendations to users. The growing use of AI and machine learning for predictive and prescriptive analytics across various industries is one of the key drivers boosting the prescriptive analytics market.

The Global Prescriptive Analytics Market Size is estimated to be valued at US$ 8.89 Bn in 2024 and is expected to exhibit a CAGR of 6.3% over the forecast period 2024 to 2030.

Key Takeaways

Key players operating in the prescriptive analytics market are Steris Corporation, Noxilizer Inc., Medistri SA, Judd Medical Limited, E-BEAM Services Inc., Cantel Medical Corporation, Stryker Corporation (TSO3 Inc.), BGS Beta-Gamma-Service GmbH & Co. KG, and B Braun Melsungen AG (B Braun Medical Ltd.), among others.

The prescriptive analytics market offers significant growth opportunities such as increasing demand from emerging economies and expanding application areas. Advancements in AI and machine learning are also enabling more sophisticated prescriptive recommendations and automated actions.

Technological advancements in artificial intelligence and machine learning have enabled more accurate and reliable prescriptive recommendations in the market. Advancements such as deep learning and neural networks are powering next-generation prescriptive solutions.

Market drivers

The major driver for the prescriptive analytics market is the growing need for strategic decision making across various industries. With prescriptive analytics, organizations can determine the likely outcomes of decisions and get automated recommendations for optimal future actions. This is helping businesses drive efficiency, revenue growth and reduce costs. The increasing availability of data and rising adoption of cloud-based solutions are also propelling the prescriptive analytics market forward.

Current Challenges in Prescriptive Analytics Market

The Prescriptive Analytics market is currently facing several challenges that are hindering its growth. Some of the key challenges include:

– Data Security and Privacy Issues: Prescriptive Analytics deals with a lot of sensitive and confidential data. Maintaining the security and privacy of this data is a big challenge. Any data breaches can severely damage customer trust.

– Lack of Quality Data: For Prescriptive Analytics to provide accurate predictions and recommendations, high quality structured data is required. However, obtaining such comprehensive data from multiple sources is not always easy. Missing or incomplete data can decrease the effectiveness of these solutions.

– Technological Complexity: Prescriptive Analytics involves advanced techniques like machine learning, deep learning, and algorithms. Implementing such complex technologies and integrating them smoothly can be difficult for many organizations lacking technical expertise.

– Difficulty in Adoption: While the potential benefits are high, convincing end-users to widely adopt Prescriptive Analytics solutions can be challenging due to concerns around costs, risks of failures, difficulties in implementation etc. Change management becomes an obstacle.

– Skilled Resource Crunch: There is a global shortage of data scientists, machine learning experts, and other skilled professionals needed to build and maintain Prescriptive Analytics solutions. Retaining such talent is also getting expensive.

SWOT Analysis

– Ability to provide actionable recommendations for optimizing outcomes
– Helps users make optimal decisions based on predictive insights

– Complex technology requires high technical expertise
– Dependence on quality data can be an issue

– Growing volume of data from technologies like IoT provides more scope
– Increasing focus on analytics-based decision making across industries

– Competition from alternate predictive modeling techniques
– Failure to gain user trust due to privacy/security breaches

Geographical Regions

North America currently holds the largest share of the Prescriptive Analytics market in terms of value. This is due to heavy investments in analytics by organizations and early adoption of advanced technologies in the region.

The Asia Pacific region is poised to experience the fastest growth during the forecast period. This growth can be attributed to rapid digital transformation initiatives, growing tech-savviness, and increasing focus on analytics-driven outcomes from governments as well as businesses to gain competitive advantages. Countries like China, India, Japan, and South Korea are major revenue generators for this market.

1.Source: Coherent Market Insights, Public sources, Desk research
2.We have leveraged AI tools to mine information and compile it