PUBLISHER: SkyQuest | PRODUCT CODE: 1463415
PUBLISHER: SkyQuest | PRODUCT CODE: 1463415
Global prescriptive analytics market size was valued at USD 39.99 billion in 2022 and is poised to grow from USD 47.72 billion in 2023 to USD 196.35 billion by 2031, at a CAGR of 19.34% during the forecast period (2024-2031).
Businesses and organizations that have already embraced descriptive analytics tools are in a better position to adopt predictive and prescriptive analytics solutions. With the ability to analyze historical data and run algorithms, these companies can effectively utilize such solutions. According to the National Academy of Medicine, the US healthcare industry incurs a significant annual cost of $750 billion due to unnecessary services. Predictive analytics can help mitigate this financial waste by assessing the likelihood of a patient developing a specific ailment, potentially saving up to 15% of the industry's budget. The increasing global investment in big data infrastructure, the rise in cybercrimes, and the demand for crime prediction and prevention are all expected to drive the growth of prescriptive analytics in the coming years. These factors, coupled with the limitations of traditional business intelligence tools, are anticipated to further fuel this growth.
Top-down and bottom-up approaches were used to estimate and validate the size of the global prescriptive analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets 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.
Global Prescriptive Analytics Market Segmental Analysis
Global prescriptive analytics market is segmented based on the component, deployment mode, organization size and region. By component, the market is segmented into software, services, professional services, managed services. By deployment mode, the market is segmented into cloud and on-premises. By organization size, the market is segmented into large, small & medium. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Prescriptive Analytics Market
Customer-centricity is a driving force across various industries. Prescriptive analytics plays a crucial role in enabling businesses to enhance customer experiences by analyzing data related to customer preferences, behavior patterns, and demographics. By leveraging this insight, organizations can create targeted marketing campaigns, provide personalized recommendations, and offer tailored product solutions to meet individual customer needs and preferences.
Restraints in the Global Prescriptive Analytics Market
Implementing prescriptive analytics necessitates proficiency in various domains such as data science, statistical modeling, machine learning, and programming. The scarcity of professionals equipped with these analytical skills presents a significant challenge for organizations seeking to adopt prescriptive analytics. The shortage of talent capable of comprehending intricate data sets and extracting actionable insights may impede the broad adoption of prescriptive analytics solutions.
Market Trends of the Global Prescriptive Analytics Market
A significant trend in the global prescriptive analytics market is the increasing adoption of AI-driven decision-making solutions across diverse industries. Businesses are realizing the importance of prescriptive analytics in streamlining operations, improving customer satisfaction, and gaining a competitive edge. This trend is fueled by the necessity to make timely data-driven decisions, empowering organizations to adapt to changing market dynamics efficiently. Thanks to advancements in machine learning and big data technologies, prescriptive analytics solutions are becoming more accessible and cost-effective, appealing to a wider range of enterprises. Consequently, the global prescriptive analytics market is anticipated to maintain its robust growth trajectory in the foreseeable future.