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시장보고서
상품코드
1658194
비즈니스 분석 소프트웨어 시장 규모, 점유율, 성장 분석 : 전개 모델별, 조직 규모별, 기능 분야별, 솔루션 유형별, 업계별, 지역별 - 산업 예측(2025-2032년)Business Analytics Software Market Size, Share, and Growth Analysis, By Deployment Model, By Organization Size, By Functional Area, By Solution Type, By Industry Vertical, By Region - Industry Forecast 2025-2032 |
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비즈니스 분석 소프트웨어 시장 규모는 2023년 616억 8,000만 달러로 평가되며, 예측 기간(2025-2032년) 동안 10.11%의 CAGR로 2024년 1,467억 5,000만 달러에서 2032년 1조 956억 3,000만 달러로 성장할 것으로 예상됩니다.
비즈니스 분석 소프트웨어 시장은 기업이 데이터 분석을 활용하여 성과와 전략 수립을 강화함에 따라 크게 성장하고 있습니다. 클라우드 기반 솔루션은 저렴한 가격과 쉬운 도입으로 인해 특히 중소기업에게 매력적이며, 클라우드 스토리지에 대한 수요가 크게 증가할 것으로 예상됩니다. 비즈니스 모델의 필요성을 강조하고 있습니다. 높은 도입 비용과 숙련된 전문 인력 부족이 문제점으로 지적되고 있지만, 소셜 미디어와 텍스트 분석에 대한 수요 증가는 시장 확대에 대한 유망한 기회로 작용하고 있습니다. 전반적으로 비즈니스 분석의 이점에 대한 인식이 높아지고, 데이터 기반 의사결정을 지향하는 추세는 향후 몇 년 동안 시장 성장을 촉진할 것으로 보입니다.
Business Analytics Software Market size was valued at USD 61.68 billion in 2023 and is poised to grow from USD 146.75 billion in 2024 to USD 1095.63 billion by 2032, growing at a CAGR of 10.11% during the forecast period (2025-2032).
The business analytics software market is experiencing significant growth as companies leverage data analysis to enhance performance and strategy formulation. The affordability and ease of implementation of cloud-based solutions make them particularly appealing to small and medium enterprises (SMEs), with aspirations for cloud storage usage projected to rise substantially. The COVID-19 pandemic has accelerated the digital transformation within SMEs, emphasizing the need for adaptable business models supported by analytics. Although high implementation costs and a lack of skilled professionals pose challenges, increasing demand for social media and text analytics presents promising opportunities for market expansion. Overall, the growing recognition of business analytics' benefits and the trend towards data-driven decision-making are likely to propel market growth in the coming years.
Top-down and bottom-up approaches were used to estimate and validate the size of the Business Analytics Software 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.
Business Analytics Software Market Segments Analysis
Global Business Analytics Software Market is segmented by Deployment Model, Organization Size, Functional Area, Solution Type, Industry Vertical and region. Based on Deployment Model, the market is segmented into On-premises, Cloud-based and Hybrid. Based on Organization Size, the market is segmented into Small and Medium-sized Enterprises (SMEs) and Large Enterprises. Based on Functional Area, the market is segmented into Financial Planning and Analysis, Sales and Marketing, Customer Relationship Management, Supply Chain Management, Human Capital Management and Risk and Compliance. Based on Solution Type, the market is segmented into Descriptive Analytics, Predictive Analytics and Prescriptive Analytics. Based on Industry Vertical, the market is segmented into BFSI, Retail and Consumer Goods, Healthcare and Life Sciences, Manufacturing, Telecommunications and IT and Business Services. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Business Analytics Software Market
The business analytics software market is witnessing significant growth, particularly within the SME sector, fueled by the increasing availability of big data and affordable data center services from cloud providers, which lower initial investment barriers for SMEs. This shift has encouraged small and medium enterprises to adopt cloud-based analytics solutions, enabling deeper operational insights. These platforms facilitate a unified data ecosystem, enhancing data consistency across devices and minimizing the number of data sources per device, ultimately leading to cost reduction. Industries such as BFSI, healthcare, manufacturing, telecom & IT, and media & entertainment have swiftly embraced cloud business analytics, propelling market expansion.
Restraints in the Business Analytics Software Market
The Business Analytics Software market faces significant challenges related to data privacy and security, impacting both customers and regulatory compliance. Organizations must navigate the complexities of masking or de-identifying sensitive information to prevent unauthorized access while ensuring customer anonymity. Despite efforts to mitigate re-identification risks by removing personally identifiable information (PII) or replacing actual data with fictitious alternatives, vulnerabilities remain, as illustrated by the Netflix case. Such breaches can lead to severe repercussions, including hefty fines, legal repercussions, and damage to reputation. As data analytics increasingly informs decision-making, implementing effective data masking solutions has become critical in light of evolving data protection regulations worldwide. Addressing these issues proactively is essential to maintain trust in business analytics software and safeguard data integrity.
Market Trends of the Business Analytics Software Market
The Business Analytics Software market is witnessing a significant trend driven by the rise of advanced analytics and artificial intelligence (AI). As organizations increasingly adopt big data analytics, sophisticated tools like predictive modeling, machine learning, and data mining are becoming essential for extracting actionable insights from vast datasets. The integration of AI further enhances these capabilities by automating data processing, recognizing patterns, and conducting predictive analyses with minimal human intervention. This evolution not only boosts operational efficiency but also empowers businesses to anticipate market trends and optimize customer experiences. As these technologies mature, they are poised to transform industries, creating new opportunities and reshaping the competitive landscape.