The global Predictive Analytics Market size to grow from USD 10.5 billion in 2021 to USD 28.1 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 21.7% during the forecast period. Various factors such as increasing use of AI and ML and acquisitions and product launches in this market are expected to drive the adoption of Predictive Analytics software and services.
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The spread of COVID-19 has been disrupting the world, businesses, and economies and has impacted the way of living of the masses and approaches adopted by enterprises for their business management. The ability of enterprises to sustain this pandemic has become new normal for them as they shift their focus from growth opportunities and concentrate on implementing measures to mitigate the impact of COVID-19. The upcoming analytics projects are kept on hold owing to the pandemic. Several companies are competing with each other to gain a single project. Businesses have already started their efforts to return to normal and are facing multiple challenges in terms of the impact of the pandemic on their customer base and operations. Meeting customer expectations in terms of optimization of processes and increased security concerns due to the presence of various connected networks, rise in connectivity issues, and decline in industrial and manufacturing operations are the key challenges faced by businesses. New practices such as work from home and social distancing are creating the requirement of the remote health monitoring of infected patients, smart payment technologies, and the development of digital infrastructures for large-scale technology deployments. With an increased focus on health, there has been a rise in the demand for health-related wearable devices. For instance, in August 2020, Fitbit announced ~34% growth in its smartwatch sales in the second quarter of 2020.
The services segment to hold higher CAGR during the forecast period
The services segment is further divided into professional services and managed services. These services are an integral step in deploying Predictive Analytics solutions and are taken care of by solution and service providers. The demand for professional services is expected to rise due to a rise in tailored demands from customers. Customers are coming up with customization requirements in already installed predictive analytics solutions for enhancing overall performance. The customization requirements include enhanced real-time insights for precise alert systems, enhanced security measures, improved digital Customer Experience (CX), and the capability to extract the maximum potential from the rising enterprise data. The growing adoption of Predictive Analytics solutions is expected to boost the adoption of professional and managed services.
According to SAS Institute, predictive analytics is the use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to analyze current data to make predictions about future events.
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Some of the key players operating in the Predictive Analytics market include IBM (US), Microsoft (US), Oracle (US), SAP (Germany), SAS Institute (US), Google (US), Salesforce (US), AWS (US), HPE (US), Teradata (US), Alteryx (US), FICO (US), Altair (US), Domo (US), Cloudera (US), Board International (Switzerland), TIBCO Software (US), Hitachi Vantara (US), Qlik (US), Happiest Minds (India), Dataiku (US), RapidMiner (US), Biofourmis (US), In-med Prognostics (India), Aito.Ai (Finland), Symend (US), Onward Health (India), Unioncrate (US), CyberLabs (Brazil), Actify Data Labs (India), Amlgo Labs (India), and Verimos (US). These Predictive Analytics vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global Predictive Analytics market.
SAP is a leading provider of enterprise application solutions and services. It is also a leading experience management, analytics, and BI company. Its solutions are compliant with GDPR. They enable enterprises to build intelligent AI- and ML-based software to unite human expertise with machine-generated insights. The company segments its diverse portfolio into applications, technology, and services; intelligent spend group; and Qualtrics. It works on an intelligent enterprise framework, which includes experience, intelligence, and operations business models. In the predictive analytics market, SAP offers the SAP Predictive Analytics solution. The solution inherits its data acquisition and data manipulation functionalities from SAP Lumira.
Teradata is a data intelligence company catering to more than 75 countries. It also caters to several industries, including communications, media and entertainment, financial services, life sciences, healthcare, retail, energy, travel and transportation, and manufacturing. Its broad customer base comprises O2 Czech Republic, BMW, Siemens Healthineers, Vodafone, American Red Cross, and US Bank. It has partnered with various companies, including Accenture, Alation, AlphaZetta, Alteryx, General Dynamics Information technology, Erwin, HCL Technologies, and Informatica, to deliver end-to-end analytics solutions. Its vast product portfolio consists of various categories, including Software, Cloud, Ecosystem Management, Hardware, and Applications. The company offers the Teradata Vantage solution in the predictive analytics market. It is a business intelligence platform powered by the cloud.
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