The SAM big data analytics market is expected to grow from US$ 4.98 million in 2022 to US$ 9.58 million by 2028; it is estimated to grow at a CAGR of 11.5% from 2022 to 2028.
The rising digital solutions are exponentially growing data across several industries such as education, BFSI, retail, agriculture, healthcare, IT, and telecommunications. For example, artificial intelligence (AI) has revolutionized precision farming, risk management, and pest control in the agricultural sector. Big data analytics are used in the agriculture industry to examine large amounts of structured and unstructured data sets such as natural trends, advanced supply tracks, optimal crops, and risk assessment collected through sensors, smart machinery, GPS-equipped tractors, and soil sensors. Medical companies can still not meet the information needs of patients, physicians, administrators, and policymakers. Big data analytics can enable personalized and precise treatment based on unique data, supplied in real-time and adapted to patients. Further, systems that can quickly learn about the data provided by people in clinical treatment and everyday life must be implemented. This will allow for data-driven decision-making and better personalized prognosis and treatment response predictions. Corporations are using bots to modernize and automate their work environments. Furthermore, virtual assistants such as Amazon Alexa, Apple Siri, and Google Assistant generate important data. Technological advancements have boosted the rise of social media users in network access and smartphone technologies. Various data sources, such as YouTube videos, Snapchat, Instagram, Facebook, and WhatsApp chats, generate massive amounts of data. As a result of technological advancements in industries, smart applications, and social media platforms, the industrial revolution is predicted to create huge databases. Thus, the growing database across these industries is driving the growth of the big data analytics market.
With the new features and technologies, vendors can attract new customers and expand their footprints in emerging markets. This factor is likely to drive the SAM big data analytics market in the coming years. The market is expected to grow at a good CAGR during the forecast period.
SAM Big Data Analytics Market Revenue and Forecast to 2028 (US$ Million)
SAM Big Data Analytics Market Segmentation
The SAM big data analytics market is segmented based on component, analytics tool, application, end use industry, and country. Based on component, the market is bifurcated into software and services. The software dominated the market in 2022 and services segment is expected to be fastest growing during forecast period. Based on analytics tool, the market is segmented into dashboard and data visualization, data mining and warehousing, self-service tool, reporting, and others. The dashboard and data visualization dominated the market in 2022 and reporting segment is expected to be fastest growing during forecast period. Based on application, the market is segmented into customer analytics, supply chain analytics, marketing analytics, pricing analytics, workforce analytics, and others. The customer analytics dominated the market in 2022 and pricing analytics segment is expected to be fastest growing during forecast period. Based on end use industry, the market is segmented into pharmaceutical, semiconductor, battery manufacturing, electronics, and others. The others dominated the market in 2022 and pharmaceutical segment is expected to be fastest growing during forecast period. Based on country, the SAM big data analytics market is segmented into Brazil, Argentina, and Rest of SAM.
Amazon Web Services, FICO, Hewlett Packard Enterprise Development LP (HPE), IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Teradata, TIBCO Software Inc. are among the leading companies in the SAM big data analytics market.
1. Amazon Web Services
2. FICO
3. Hewlett Packard Enterprise Development LP (HPE)
4. IBM Corporation
5. Microsoft Corporation
6. Oracle Corporation
7. SAP SE
8. SAS Institute Inc.
9. Teradata
10. TIBCO Software Inc.