市場調查報告書
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1562490
巨量資料市場規模、佔有率、按產品、業務功能、資料類型、產業和地區進行的成長分析 - 產業預測,2024-2031 年Big Data Market Size, Share, Growth Analysis, By Offering, By Business Function, By Data Type, By Vertical, By Region - Industry Forecast 2024-2031 |
2022年全球巨量資料市場規模將達到1,902億美元,從2023年的2,202億美元成長到2031年的5,739億美元,複合年成長率預計將成長12.72%。
虛擬線上工作場所的興起和社交媒體的日益普及推動了巨量資料市場的擴張。網際網路的使用日益廣泛,具有無縫通訊、豐富的資源、輕鬆共用以及透過線上服務產生日常資料等眾多好處,預計將進一步推動需求。此外,在消費者偏好不斷變化和購買力不斷增強的推動下,智慧型設備的激增(尤其是在新興市場)也推動了這一趨勢。隨著對行動裝置和應用程式的需求增加,巨量資料預計將在各個行業中變得更加普遍。巨量資料解決方案提供了寶貴的見解,使企業能夠有效地管理大量資料,在提高資料處理能力的同時提供顯著的成本節約機會。
Global Big Data Market size was valued at USD 190.2 billion in 2022 and is poised to grow from USD 220.2 billion in 2023 to USD 573.9 billion by 2031, growing at a CAGR of 12.72% during the forecast period (2024-2031).
The expansion of the big data market is being driven by the increasing number of virtual online workplaces and the growing popularity of social media, both of which generate vast amounts of data. The rising use of the internet, with its numerous advantages-such as seamless communication, abundant resources, easy sharing, and daily data generation from online services-is expected to further boost demand. Additionally, the growing adoption of smart devices, fueled by shifting consumer preferences and increased purchasing power, particularly in emerging markets, is contributing to this trend. As the demand for mobile devices and applications rises, big data will become even more prominent across various industries. By providing valuable insights and enabling businesses to efficiently manage large volumes of data, big data solutions offer significant cost-saving opportunities while improving data handling capabilities.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Big Data 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 Big Data Market Segmental Analysis
Global Big Data Market is segmented by Offering, Business Function, Data Type, Vertical and Region. Based on Offering, the market is segmented into Software, By Type (Big Data Analytics Software (Prescriptive Analytics Tools, Diagnostic Analytics Tools, Descriptive Analytics Tools, Predictive Analytics Tools), Data Management Software (Data Security Tools, Master Data Management Tools, Data Integration Tools, Data Migration Tools, Data Warehousing Tools, Data Governance Tools, Others), Data Mining Software (Data Classification Tools, Regression Tools, Clustering Tools, Association Rule Mining Tools), Data Visualization Software (Static Data Visualization Tools, Interactive Data Visualization Tools)), Software, By Deployment Mode (Cloud (Public Cloud, Private Cloud, Hybrid Cloud), On-Premises), Services (Big Data Consulting Services, Big Data Cleansing & Scrubbing Services, Big Data Storage & Processing Services, Big Data Analytics & Reporting Services, Big Data Security Services, Big Data As A Service, Other Services). Based on Business Function, the market is segmented into Marketing & Sales (Customer Segmentation, Social Media Management, Sales Forecasting, Customer Journey Management, Others), Human Resources (Talent Acquisition, Employee Engagement, Workforce Management, Performance Management, Others), Operations (IT Infrastructure Optimization, IT Service Management, Incident Response And Resolution, Inventory Management, Others), Finance & Accounting (Fraud Detection, Risk Management, Financial Forecasting, Credit Scoring, Others), Other Business Functions. Based on Data Type, the market is segmented into Structured Data, Semi-structured Data, Unstructured Data. Based on Vertical, the market is segmented into BFSI (Algorithmic Trading & Investment Analysis, Customer Churn Prediction & Retention, Credit Scoring & Risk Assessment, Financial Fraud Detection & Prevention, Personalized Financial Planning, Others), Telecommunications (Network Performance Monitoring, Subscriber Management, Network Infrastructure Predictive Maintenance, Telecom Revenue Assurance, Network Capacity Planning, Others), Retail & Consumer Goods (Customer Segmentation & Personalization, Retail Inventory Management, E-Commerce Management, Price Optimization, Point-Of-Sale Management, Others), Healthcare & Life Sciences (Clinical Data Management, Personalized Treatment, Population Health Management, Drug Discovery & Development, Patient Outcome Prediction, Others), Government & Defense (Predictive Policing & Crime Pattern Analysis, Cybersecurity & Threat Intelligence, Tax & Welfare Management, Emergency Response Optimization, Resource Allocation & Planning, Others), Automotive (Autonomous Vehicle Development, Connected Car Services, Vehicle Predictive Maintenance, Telematics & Usage-Based Insurance, Vehicle Production Optimization, Others), Education (Student Performance Management, Customized Courses & Personalized Learning, Conflict Anticipation & Behavior Detection, Academic Research, Adaptive Testing & Grading, Others), Manufacturing (Equipment & Machinery Predictive Maintenance, Quality Control & Defect Analysis, Smart Manufacturing, Energy Management & Efficiency, Production Process Optimization, Others), Transportation & Logistics (Route Optimization & Traffic Management, Fleet Management, Vehicles & Equipment Maintenance, Supply Chain Visibility, Logistics & Inventory Management, Others), Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Drivers of the Global Big Data Market
The demand for data-driven decision-making is accelerating rapidly, fueling the growth of the big data market. Businesses are increasingly recognizing the strategic advantages of leveraging data insights to make informed and precise decisions in today's competitive environment. This shift marks a departure from traditional decision-making models, as organizations rely more on big data analytics to optimize performance, mitigate risks, and uncover new opportunities for growth and innovation.
Restraints in the Global Big Data Market
When organizations collect vast amounts of data from various sources without proper integration and interoperability, it leads to isolated data silos. This fragmentation hampers the seamless flow of information across the organization, making it difficult to derive meaningful insights. Consequently, data silos prevent businesses from achieving a unified view of their data, diminishing the effectiveness of big data solutions.
Market Trends of the Global Big Data Market
The advent of Industry 4.0 and the Industrial Internet of Things (IIoT) is revolutionizing how industries operate. This transformation is making industrial processes smarter by integrating sensors, machinery, and processing units into connected systems. As a result, a vast network of interconnected devices is emerging, enabling seamless data transfer and communication across various industrial operations.