市场调查报告书
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资料分析市场规模、份额、成长分析:按类型、解决方案、应用程式、地区划分 - 产业预测,2024-2031 年Data Analytics Market Size, Share, Growth Analysis, By Type, By Solution, By Application, By Region - Industry Forecast 2024-2031 |
2022年资料分析市场规模将达到443亿美元,预测期内(2024-2031年)复合年增长率为26.90%,从2023年的562.20亿美元增长到2031年的3780.5亿美元。亿美元。
强调直接回应客户需求的人工智慧和机器学习等技术的兴起是支持资料分析市场成长的主要因素。例如,IBM 于 2022 年 7 月收购的 Databand.ai,透过提高可观察性并确保正确的资料到达正确的人来增强其人工智慧、资料和自动化软体产品组合。由于巨量资料分析、云端技术成本上升以及线上活动产生的大量资料等因素,全球分析和资料处理市场正在迅速扩大。巨量资料分析在提高跨业务职能的关键绩效指标方面发挥关键作用。例如,埃森哲计划分配更多资源,帮助客户专注于转型的关键领域,并在整个过程中利用资料做出更好的决策。由于工业革命、智慧应用程式使用的增加和新的社交媒体平台,资料量预计将增加,预计将进一步成长资料分析市场。仅社交媒体网路就对资料生成做出了重大贡献。此外,智慧机械、配备 GPS 的拖拉机和土壤感测器在农业中的使用将产生广泛的资料集,进一步推动市场扩张。
Data Analytics Market size was valued at USD 44.30 Billion in 2022 and is expected to grow from USD 56.22 Billion in 2023 to USD 378.05 Billion by 2031, at a CAGR of 26.90% during the forecast period (2024-2031).
The rise of technologies such as AI and ML, which focus on meeting client needs directly, is a major driver behind the growth of the data analytics market. For instance, IBM's acquisition of Databand.ai in July 2022 aimed to enhance its AI, data, and automation software portfolio by improving observability and ensuring that the right data reaches the right people. The global analytics and data processing market is expanding rapidly due to factors like big data analytics, rising cloud technology costs, and the large volume of data generated by online activities. Big data analytics plays a crucial role in boosting key performance indicators across business functions. For instance, Accenture plans to allocate more resources to help clients focus on critical areas of transformation and leverage data for better decision-making throughout the process. The anticipated growth in data volumes due to the industrial revolution, increased use of smart apps, and new social media platforms is expected to drive further growth in the data analytics market. Social media networks alone contribute significantly to data generation. Additionally, the use of smart machinery, GPS-equipped tractors, and soil sensors in agriculture generates extensive datasets, further fueling the market's expansion.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Data Analytics 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 Data Analytics Market Segmental Analysis
The global Data Analytics Market is segmented based on type, solution, application and region. By type, the market is segmented into prescriptive, predictive, customer, descriptive, others. By solution, the market is segmented into security intelligence, data management, data monitoring, data mining. By application, the market is segmented into supply chain management, enterprise resource planning, database management, human resource management, others. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Data Analytics Market
Many organizations have recognized that leveraging big data for decision-making is crucial for gaining a competitive advantage. Business intelligence, which lies at the heart of data analytics, involves monitoring large datasets to enhance decision-making, improve efficiency and productivity, and predict future strategies. This demand arises from the need to optimize organizational processes, manage customer relationships, and identify revenue sources.
Restraints in the Global Data Analytics Market
Data privacy concerns present major obstacles in the Data Analytics market. The increase in data breaches and stringent regulations, such as GDPR and CCPA, compel businesses to focus heavily on compliance and security, often diverting substantial budgets to meet these requirements. This emphasis on data protection can limit investments in data analytics, as organizations prioritize safeguarding sensitive information over leveraging it effectively. Consequently, this shift can hinder the integration of data analytics into strategic digital processes, affecting potential returns on investment and impeding the optimal use of data.
Market Trends of the Global Data Analytics Market
Data democratization involves making data and analytics accessible to a broader audience within an organization. This trend focuses on providing customer-facing business intelligence (BI) tools, reports, and data visualizations, such as dashboards and scorecards, enabling users to analyze and utilize data independently of IT support. Studies indicate that when employees at different levels of a company receive training in data analytics, the adoption of these practices can penetrate deeper throughout the organization.