市場調查報告書
商品編碼
1533607
資料分析市場規模、佔有率、成長分析:按類型、解決方案、應用程式、地區分類 - 產業預測,2024-2031 年Data Analytics Market Size, Share, Growth Analysis, By Type, By Solution, By Application, By Region - Industry Forecast 2024-2031 |
2022年資料分析市場規模將達到443億美元,預測期內(2024-2031年)複合年成長率為26.90%,從2023年的562.20億美元成長到2031年的3780.5億美元。億美元。
強調直接回應客戶需求的人工智慧和機器學習等技術的興起是支持資料分析市場成長的主要因素。例如,IBM 於 2022 年 7 月收購的 Databand.ai,透過提高可觀察性並確保正確的資料到達正確的人來增強其人工智慧、資料和自動化軟體產品組合。由於巨量資料分析、雲端技術成本上升以及線上活動產生的大量資料等因素,全球分析和資料處理市場正在迅速擴大。巨量資料分析在提高跨業務職能的關鍵績效指標方面發揮關鍵作用。例如,埃森哲計分類配更多資源,幫助客戶專注於轉型的關鍵領域,並在整個過程中利用資料做出更好的決策。由於工業革命、智慧應用程式使用的增加和新的社交媒體平台,資料量預計將增加,預計將進一步成長資料分析市場。僅社交媒體網路就對資料生成做出了重大貢獻。此外,智慧機械、配備 GPS 的曳引機和土壤感測器在農業中的使用將產生廣泛的資料集,進一步推動市場擴張。
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.