市場調查報告書
商品編碼
1519404
2024-2032 年按軟體、部署類型、最終用戶、垂直產業和區域分類的業務分析市場報告Business Analytics Market Report by Software, Deployment Type, End-User, Vertical, and Region 2024-2032 |
IMARC Group年,全球商業分析市場規模達到 893 億美元。資料量和複雜性的激增、對最佳化供應鏈營運的需求不斷成長、網路安全威脅的發生率不斷增加以及企業對隱私問題的日益關注是推動市場發展的主要因素。
業務分析是收集、分析和解釋資料以獲取見解並做出明智決策的系統流程。它利用各種統計、數學和計算技術來揭示資料中的模式、趨勢和相關性,有助於提高業務績效和策略。它有助於識別效率低下的地方以及可以實施成本節約措施的領域,從而改善資源分配。它透過評估歷史資料和預測未來的潛在風險來幫助識別和減輕風險。它廣泛應用於醫療保健行業,用於患者結果分析、資源分配和疾病追蹤。
向基於雲端的分析解決方案的不斷轉變提供了可擴展性、靈活性和成本效益,使各種規模的組織都可以更輕鬆地進行分析。除此之外,公共和私人組織對人力資源分析的廣泛使用提供了良好的市場前景。人力資源分析有助於人才取得、勞動力規劃和員工敬業度,有助於組織發展和效率。此外,BFSI 行業法規的實施正在推動對合規性、風險評估和詐欺檢測高級分析的需求。此外,對最佳化供應鏈營運(包括需求預測、庫存管理和供應商績效分析)的需求不斷增加,正在支持市場成長。
資料量和複雜度不斷增加
資料的指數成長是積極影響市場的主要因素之一。此外,隨著數位科技和物聯網 (IoT) 的廣泛使用,組織正在產生大量資料,其中包括客戶互動、社群媒體和感測器資料。每天產生的資料量驚人,因此企業必須利用這些資料來獲得見解。除此之外,資料日益複雜,推動了對自然語言處理 (NLP)、機器學習和人工智慧 (AI) 等高級分析工具的需求,以獲得有價值的見解。此外,產業的擴張正在刺激對分析工具的需求,以做出明智的決策、個人化客戶體驗、最佳化營運並獲得競爭優勢。
不斷發展的人工智慧和機器學習能力
人工智慧 (AI) 和機器學習 (ML) 正在改變業務分析。這些技術可以以以前無法達到的規模和深度分析資料。人工智慧驅動的預測性和規範性分析正在幫助企業預測趨勢、識別異常並推薦最佳行動。除此之外,人工智慧和機器學習正在促進特定產業分析解決方案的開發。醫療領域擴大使用這些先進技術來幫助患者診斷,這提供了良好的市場前景。此外,BFSI 領域擴大利用資料分析解決方案來檢測詐欺交易,這為市場創造了積極的前景。
監理合規性和資料隱私問題
各國不斷變化的法規和資料隱私法是促進市場成長的另一個主要因素。世界各地的管理機構正在實施嚴格的法規,例如歐洲的《一般資料保護規範》(GDPR) 和美國的《加州消費者隱私法案》(CCPA)。這些法規對組織如何收集、儲存和使用客戶資料提出了嚴格要求,不遵守規定可能會導致巨額罰款和聲譽受損。除此之外,網路安全威脅發生率的上升和日益嚴重的隱私問題正在鼓勵企業採用高效的分析解決方案來維持客戶和合作夥伴之間的信任。
The global business analytics market size reached US$ 89.3 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 180.4 Billion by 2032, exhibiting a growth rate (CAGR) of 8.2% during 2024-2032. The surging volume and complexity of data, rising demand for optimized supply chain operations, and growing incidences of cybersecurity threats and consequently increasing privacy concerns among businesses are some of the major factors propelling the market.
Business analytics is the systematic process of collecting, analyzing, and interpreting data to gain insights and make informed decisions. It leverages various statistical, mathematical, and computational techniques to uncover patterns, trends, and correlations in data that can aid in improving business performance and strategy. It helps identify inefficiencies and areas wherein cost-saving measures can be implemented, leading to improved resource allocation. It assists in identifying and mitigating risks by assessing historical data and predicting potential risks in the future. It is widely used in the healthcare industry for patient outcomes analysis, resource allocation, and disease tracking.
The rising shift to cloud-based analytics solutions offers scalability, flexibility, and cost-efficiency, making analytics more accessible to organizations of all sizes. Apart from this, the widespread use of HR analytics by public and private organizations is offering a favorable market outlook. HR analytics aids in talent acquisition, workforce planning, and employee engagement, contributing to organizational growth and efficiency. Furthermore, the implementation of regulations in the BFSI industry is driving the need for advanced analytics for compliance, risk assessment, and fraud detection. Moreover, the escalating demand for optimized supply chain operations, including demand forecasting, inventory management, and supplier performance analysis is supporting the market growth.
Increasing data volume and complexity
The exponential growth of data represents one of the primary factors positively influencing the market. Additionally, with the expanding use of digital technologies and the Internet of Things (IoT), organizations are generating vast amounts of data, which includes customer interactions, social media, and sensor data. The volume of data generated daily is staggering, making it essential for businesses to harness this data for insights. Apart from this, the rising complexity of data is driving the need for advanced analytics tools, such as natural language processing (NLP), machine learning, and artificial intelligence (AI) to gain valuable insights. Furthermore, the expansion of industries is catalyzing the demand for analytics tools to make informed decisions, personalize customer experiences, optimize operations, and gain a competitive edge.
Evolving AI and ML capabilities
Artificial intelligence (AI) and machine learning (ML) are transforming business analytics. These technologies can analyze data at a scale and depth that was previously unattainable. AI-driven predictive and prescriptive analytics are helping businesses anticipate trends, identify anomalies, and recommend optimal actions. Apart from this, AI and ML are enabling the development of industry-specific analytics solutions. The increasing use of these advanced technologies in the medical sector to help with patient diagnosis is offering a favorable market outlook. Furthermore, the rising utilization of data analytics solutions in the BFSI sector to detect fraudulent transactions is creating a positive outlook for the market.
Regulatory compliance and data privacy concerns
The evolving landscape of regulations and data privacy laws across various countries is another primary factor facilitating the market growth. The governing authorities worldwide are implementing stringent regulations, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States. These regulations impose strict requirements on how organizations collect, store, and use customer data, and failing to comply can lead to substantial fines and reputational damage. Apart from this, rising incidences of cybersecurity threats and the growing privacy concerns are encouraging businesses to adopt efficient analytics solutions for maintaining trust among customers and partners.
IMARC Group provides an analysis of the key trends in each segment of the market report, along with forecasts at the global, regional, and country levels from 2024-2032. Our report has categorized the market based on software, deployment type, end-user and vertical.
Query, Reporting and Analysis Tools
Advanced and Predictive Analytics
Location Intelligence
Content Analytics
Data Warehousing Platform
Others
Data warehousing platform dominates the market
A detailed breakup and analysis of the market based on the software has also been provided in the report. This includes query, reporting and analysis tools; advanced and predictive analytics; location intelligence; content analytics; data warehousing platform; and others. According to the report, data warehousing platform represents the largest market segment as it is a centralized repository that stores vast amounts of structured data from various sources, such as sales, finance, marketing, and customer interactions. This centralized storage simplifies data management, ensuring that analysts and decision-makers have easy access to a unified, consistent source of truth. Additionally, it offers robust security features, including access controls, encryption, and audit trails. It also facilitates data governance by providing mechanisms for data quality management and lineage tracking. Apart from this, it integrates seamlessly with business intelligence (BI) tools and reporting solutions. This integration streamlines the analytics workflow, making it easier for users to create reports, dashboards, and visualizations based on the centralized data.
Cloud-based
On-Premises
On-premises holds the largest market share
The report has provided a detailed breakup and analysis of the market based on the deployment type. This includes cloud-based and on-premises. According to the report, on-premises accounts for the majority of the market share as some organizations have legacy systems that are deeply integrated with on-premises infrastructure, and migrating to the cloud can be complex and costly, making on-premises analytics more viable for these situations. Additionally, on-premises solutions offer greater control over data security and compliance for organizations dealing with highly sensitive data, particularly in sectors like finance, healthcare, and government. Apart from this, in certain regions or industries, data sovereignty regulations mandate that data must be stored within specific geographic boundaries. On-premises deployments allow organizations to comply with such regulations without relying on third-party cloud providers. Moreover, on-premises solutions offer greater customization and control over hardware and software configurations.
Large Enterprises
Small and Medium Size Enterprises
Small and medium size enterprises represent the largest market segment
A detailed breakup and analysis of the market based on the end-user has also been provided in the report. This includes large enterprises and small and medium size enterprises. According to the report, small and medium size enterprises account for the majority of the market share due to the increasing accessibility and affordability of analytics tools and solutions. Many software providers now offer cloud-based analytics services with subscription models, making it cost-effective for SMEs to access powerful analytics capabilities without substantial upfront investments. Additionally, SMEs often rely on focused marketing efforts to reach their target audience efficiently. Analytics helps them analyze customer behavior, preferences, and purchase patterns. This data-driven approach enables more effective marketing campaigns and customer retention strategies. Apart from this, many analytics providers recognize the potential of the SME market and tailor their offerings accordingly. They provide user-friendly interfaces, pre-built templates, and customer support to cater to the specific needs and limited resources of SMEs.
BFSI
Energy and Power
Manufacturing
Healthcare
Government
Education
Media and Entertainment
Telecom and IT
Others
BFSI represented the largest market segment
The report has provided a detailed breakup and analysis of the market based on the vertical. This includes BFSI, energy and power, manufacturing, healthcare, government, education, media and entertainment, telecom and IT, and others. According to the report, BFSI dominates the market due to the increasing security concerns and rising cases of cybersecurity attacks. Analytics is used for intrusion detection, threat assessment, and data encryption, ensuring the safety and integrity of customer information. Additionally, analytics supports financial institutions in conducting stress tests to evaluate their resilience under adverse scenarios. Apart from this, it enables financial institutions to respond swiftly to market fluctuations, execute trades, and process transactions efficiently. Moreover, for asset management and investment banking, analytics aids in portfolio optimization, asset allocation, and investment decision-making. It helps identify attractive investment opportunities and assess the performance of assets in real time.
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance, accounting for the largest business analytics market share
The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share since the region has a rich ecosystem of technology companies, startups, and research institutions that drive the development and adoption of cutting-edge analytics tools and techniques. Additionally, North American businesses have a strong culture of data-driven decision-making. They recognize the value of analytics in gaining a competitive edge, optimizing operations, and understanding customer behavior. Apart from this, the region is home to numerous industries, including finance, healthcare, technology, retail, and manufacturing. Moreover, North America boasts a skilled and educated workforce in fields such as data science, statistics, and computer science. This talent pool is essential for developing, implementing, and leveraging analytics solutions effectively.
Companies are actively engaged in various activities to meet the evolving demands of businesses and industries. They are focusing on advanced data analytics techniques, such as machine learning and artificial intelligence, to extract valuable insights from large datasets. This enables them to provide more accurate predictions and recommendations to their clients. Additionally, they are developing real-time analytics capabilities to provide clients with up-to-the-minute insights. Apart from this, many firms are investing in robust security measures and compliance with data protection regulations like GDPR and CCPA. Furthermore, various business analytics providers are tailoring their services to meet the specific needs of different industries and clients.
Adobe Systems Incorporated
International Business Machines (IBM) Corporation
Microsoft Corporation
Microstrategy Incorporated
Oracle Corporation
Salesforce.com Inc.
SAP SE
SAS Institute Inc.
Tableau Software
Tibco Software Inc.
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)
In March 2023, Tibco Software Inc. announced a series of enhancements to its analytics suite that delivers immersive, smart, and real-time analytics and empowers customers to take action and benefit from faster, smarter insights.
In September 2023, SAP SE declared the development of the first software-based enterprise resource planning (ERP) system, that has changed the face of business and the ability of our customers to deliver value.
In October 2022, Tableu Software announced the launch of Tableau 2022.3, a new version of the data visualization and analysis program that allows business users to gain insights into their data by using a data guide to help uncover business intelligence more quickly, and a new advanced analytics and predictions tool called Table Extension.