Business data analysis
The Big Data and Analytics by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).
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According to The Business Research Company’s Big Data and Analytics, The big data and analytics market size has grown rapidly in recent years. It will grow from $104.19 billion in 2023 to $118.55 billion in 2024 at a compound annual growth rate (CAGR) of 13.8%. The growth in the historic period can be attributed to strong economic growth in emerging markets, increased internet penetration, government initiatives in developing economies, rising penetration of e-commerce and increased availability of mobile device.
The big data and analytics market size is expected to see rapid growth in the next few years. It will grow to $195.68 billion in 2028 at a compound annual growth rate (CAGR) of 13.3%. The growth in the forecast period can be attributed to increasing smart cities, internet of things (iot), favorable government initiatives, increase in internet penetration, increasing adoption of 5g networks and the covid-19 pandemic . Major trends in the forecast period include integrating artificial intelligence (ai) in offerings in order to improve efficiency and offer better business insights, offering convenient solutions like big data as a service in order to lower upfront costs for companies, focusing on establishing collaborations with research institutions and established companies for the development of innovative and efficient technologies, invest in edge computing solutions to offer reduced latency, faster processing, greater security, scalability, and reliability for customers, offer hybrid cloud solutions for greater interoperability, management, and scalability of data, leverage xops solutions to increase reliability, reusability, and repeatability while reducing duplication of technology, invest in blockchain platforms to provide enhanced data quality, better data security, and other fraud prevention services to customers and invest in new startups to support the development of big data analytics..
The growing investments in business intelligence, data analytics tools by major companies, and increasingly adopting different styles of analytics to resolve their business imperatives and personalize the service or product according to the customers’ aspirations boosts the growth of the big data and analytics market. For instance, CostCo., a major retailer that collects its customer’s data on purchases to provide personalized service was able to warn its customers who bought stone fruits to warn them of possible contamination using the analytics software instead of sending a blanket message to everyone. This increasing need to personalize the service to cater to the customers compels businesses to invest in data analytics tools, thereby increasing demand for the big data and analytics market.
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The big data and analytics market covered in this report is segmented –
1) By Analytics Tools: Dashboard & Data Visualization, Self-Service Tools, Data Mining & Warehousing, Reporting , Other Analytics Tools
2) By Deployment Mode: On-Premise, Cloud
3) By Application: Customer Analytics, Supply Chain Analytics, Marketing Analytics, Pricing Analytics, Spatial Analytics, Workforce Analytics, Risk & Credit Analytics , Transportation Analytics, Other Applications
4) By End Use Industry: BFSI, Retail, Manufacturing, IT and Telecom, Government, Healthcare, Utility, Other End Use Industries
The agile process’ success in software development and the development of the latest technologies have made it very popular in the innovation industry. Few leading-edge organizations use an agile approach to manage their data systems. Agile is a technique for designing applications or handling operations more effectively in IT organizations. Broadly, it’s a collaborative methodology where cross-functional teams develop and create minimally viable products (MVPs) and features quickly, test them with consumers, and optimize and improve them in rapid iterations. The agile process helps to make changes in the workflow even in the later stages, which will help to work in the best interests of the client. Agile organizations have a 70% chance of being in the top quartile of organizational health, indicating the best long-term performance amongst competitors. These companies become more customer-centric, have higher revenue growth, and a more engaged workforce.
The big data and analytics market report table of contents includes:
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