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A service for IT industry professionals · Friday, September 13, 2024 · 743,258,943 Articles · 3+ Million Readers

Predictive Analytics Market to Surpass USD 84 billion by 2031, Witnessing 19.2% CAGR Growth

WESTFORD, MASSACHUSETTS, UNITED STATES, August 9, 2024 /EINPresswire.com/ -- Global Predictive Analytics Market size was valued at around USD 14.03 billion in 2022 and is projected to grow from USD 17.12 billion in 2023 to USD 84 billion by 2031 at a CAGR of 19.2% over the forecast period (2024–2031).

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In recent times, the predictive analytics market is expanding as enterprises are becoming more aware of the generated data that can be used to predict future events. This can be easily done by applying predictive analytics solutions. These predictions can be applied in different domains like finance, marketing, medical care, and manufacturing, to improve the decision-making procedure. In recent times, the predictive analytics has witnessed a significant growth owing to the advancements in technology and the rising availability of huge amount of data. Companies across industries are understanding the usefulness of predictive analytics in gaining information, improving operations and enhancing overall performance. By efficiently utilizing predictive analytics, business can make better informed decisions, reduce risks, and easily recognize opportunities for market growth. One of the primary drivers of the predictive analytics market is the rising demand for data-driven decision-making. Today businesses are generating huge amount of data from different sources, which is making it crucial to extract useful insight from this data to gain an edge. Predictive analytics helps businesses to recognize patterns and trends, enabling them to understand customer behavior and improve operational efficiency. Advanced technologies like AI and ML have also improved the abilities of predictive analytics. They help in more accurate predictions by analyzing complex and large-scale datasets, leading to an increase in the progression of the market.

Surge in Adoption of Big Data to Identify Market Trends to Gain Competitive Edge Expands Market Growth

Lately the predictive analytics market has witnessed a surge in embracing big data and the related technologies. This high usage of big data is primarily fuelled by the massive growth in data generation across every sector coupled with the constant advancement in technology. Such advancement has facilitated the collection, storage, and analysis of this data. Businesses are increasingly utilizing big data to discover hidden patterns, market trends, and consumer preferences by transforming raw data into useful information. The incorporation of AI and ML along with big data has further improved the predictive abilities of the businesses. This has allowed more precise forecasting and strategic decision-making. This trend is not only improving operation efficiencies but also developing an edge by creating personalized customer experiences.

The following are the key Predictive Analytics Trends that will shape the growth of the market in the next 5 years

Expansion of Digitalization Leading to Smarter Cities with Interconnected Systems to Increase Market Growth in 4-5 Years

An increase in internet accessibility offers extraordinary opportunities in the predictive analytics field. The expansion of digitalization along with the increasing incorporation of connected and smart technologies is creating ways for innovative applications of predictive analytics. The field of predictive analytics applications is expanding immensely as cities are becoming smarter and rural areas are gaining improved internet coverage with interconnected systems. This trend allows businesses to venture into a broader and diversified data pool, improving the accuracy of predictive insights. The explosion of IoT devices and systems also provide real-time data, helping predictive models to become more dynamic and reflect the latest trends. This creates opportunities in various sectors like medical care, urban planning, and agriculture, improving operation efficiencies.

Increasing Use of Predictive Modeling Tools to Improve Sales Structures to Increase Revenue

Lately, the efficiency of the predictive tools has immensely improved due to interactive visualization and automation. The process of developing and analyzing predictive models utilized by businesses to conduct operations like customer analytics, risk reporting, threat management, and product innovations are improved by these advanced technologies. Many businesses have also started automating their sales structure, starting from lead generation to client base by performing predictive analysis on huge amount of customer data. The utilization of predictive modelling techniques for email marketing, social media advertising, and consumer cognitive analysis has increase revenue and enhance customer retention.

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Adoption of Cloud to Minimize Business Risk Factor to Boost Predictive Analytics Market Growth in Next 10 Years

This is a massive trend that is gaining popularity in the predictive analytics sector. Many companies have started using the cloud to reduce expenses, decrease risk factors, and accomplish database scalability. The utilization of cloud is becoming widespread among businesses as it serves as a crucial channel for digital empowerment, implementing innovation, and in expanding the business. the cloud provides a platform that can serve as a storage hub and deliver computing to the businesses.

Latest News to Follow in the Predictive Analytics Market
• mPulse recently launched its integrated predictive analytics and omnichannel engagement product abilities in May 2024. This has established the latest category in the digital health ecosystem.

• Walmart publicized the expansion of its Walmart Luminate on an international level in May 2024. This is a reporting system that can be used by Walmart US suppliers that offers sales data and customer shopping information.

• Nuro Retention’s predictive analytics technology was acquired by Ocelot in July 2024. The objective of the acquisition was to strengthen Ocelet’s platform and empower educational institutes to actively engage students through advanced data analysis.

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Increasing R&D Activities and Strategic Collaborations to Advance Novel Techniques Developing in Predictive Analytics Field

Recently the number of R&D activities has massively increased. This will support the advancement of novel techniques and procedures in the predictive analytics market. The utilization of cloud in businesses also serves as a crucial channel to gain digital empowerment. The market growth is also increasing due to the strategic collaboration among the prominent players, advancing predictive analytics. Many companies are also strategically working with other businesses and research institutes to create innovative solutions. This trend of worldwide strategic alliances will encourage market expansion.

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