市场调查报告书
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2030 年巨量资料技术市场预测:按解决方案、服务、部署、组织规模、应用程式、最终用户和地区进行的全球分析Big Data Technology Market Forecasts to 2030 - Global Analysis By Solution, Service, Deployment, Organisation Size, Application, End User and By Geography |
根据Stratistics MRC预测,2023年全球巨量资料技术市场规模将达3,572亿美元,预计2030年将达到9,850亿美元,预测期内复合年增长率为15.6%。
巨量资料技术是指一组工具、技术和技术,旨在从传统资料处理系统无法有效处理的大型复杂资料集进行处理、分析和提取有价值的见解。巨量资料允许公司透过分析客户偏好和行为来创建个人化的客户体验。因此,有针对性的行销宣传活动变得更加有效,客户参与也随之提高。
根据 2022 年发布的《全球大数据和分析支出指南》,到 2025 年,巨量资料技术支出将增加 1.6 倍。
数位转型
随着公司努力在数位时代保持竞争力和相关性,他们越来越多地采用巨量资料技术来利用资料的巨大潜力。巨量资料技术使组织能够捕获、处理和分析来自不同来源的大量资料,使他们能够获得可行的见解。此外,巨量资料将促进资料主导的经营模式的发展,开闢新的收益来源和提高效率的途径。因此,数位转型成为拉动市场需求的关键因素。
资料安全和隐私问题
收集和分析的资料量庞大且来源多样,使组织面临潜在的安全漏洞和未授权存取。巨量资料应用涉及敏感资讯的处理,增加了侵犯隐私的风险,导致法律和声誉受损。然而,遵守 GDPR 和 CCPA 等资料保护条例会增加挑战的复杂性。因此,资料安全和隐私问题是阻碍市场扩张的重要因素。
技术进步
运算能力、储存能力和网路基础设施的持续创新有助于提高巨量资料解决方案的可扩展性和效率。人工智慧 (AI) 和机器学习 (ML) 演算法的整合增强了资料分析,并实现了更高级的模式识别和预测建模。此外,Apache Hadoop和Apache Spark等先进资料处理框架的发展进一步加速了大型资料集的分析。
缺乏熟练劳动力
巨量资料技术的快速发展超越了拥有必要专业知识的专业人员的能力。擅长处理大型资料集和实施高阶分析的资料科学家、分析师和工程师始终供不应求。然而,人手不足正在阻碍巨量资料解决方案在各行业的有效实施和利用。此外,由于竞争和资源限制,小型企业可能难以吸引和留住技术人员。
COVID-19 的影响
COVID-19的疫情对巨量资料技术市场产生了重大影响。随着远距工作、电子商务和数位互动的突然激增,组织越来越依赖巨量资料分析来应对不断变化的环境。对即时资料洞察的需求激增,推动了巨量资料技术的采用,以实现敏捷决策和危机管理。此外,疫情期间的经济不确定性导致一些公司重新考虑其技术预算,影响了他们投资巨量资料计划的计画。
巨量资料分析产业预计在预测期内成为最大的产业
预计巨量资料分析领域将占最大份额。巨量资料分析帮助企业在现代资料驱动的环境中做出明智的决策、优化流程并获得竞争优势。这个过程涵盖了多种技术,包括机器学习、预测分析和资料探勘,使公司能够从资料中获得可行的见解。随着公司不断应对不断扩大的资料集,对熟练的巨量资料分析解决方案的需求仍然很高。
预计 BFSI 细分市场在预测期内将呈现最高的复合年增长率。
预计 BFSI 领域将在预测期内实现良好成长。 BFSI 的巨量资料分析处理和分析大资料集,以深入了解客户行为、诈欺侦测和市场趋势。预测分析在评估信用风险、识别潜在诈欺和优化投资组合方面发挥关键作用。此外,即时分析可以帮助监控金融交易中的可疑活动并确保监管合规性。随着 BFSI 产业继续应对复杂且动态的环境,巨量资料技术的整合变得至关重要。
在估计期间,北美占据了最大的市场占有率。该地区成熟的技术基础设施、广泛的投资能力和成熟的商业生态系统构成了其优势。该地区受益于包括资料科学家和工程师在内的熟练劳动力,推动了分析、机器学习和人工智慧的持续发展。此外,该地区的战略地位和对技术进步的承诺使其成为关键参与者,并在全球范围内塑造巨量资料技术市场的轨迹。
预计亚太地区在预测期内将实现盈利成长。数位化的提高、人口的快速成长以及中产阶级的崛起正在丰富资料生成生态系统,并为巨量资料应用提供充足的机会。此外,该地区各国政府正积极推行数位转型、智慧城市计画和工业 4.0,推动了对高阶分析和资料主导决策的需求。
According to Stratistics MRC, the Global Big Data Technology Market is accounted for $357.2 billion in 2023 and is expected to reach $985 billion by 2030 growing at a CAGR of 15.6% during the forecast period. Big Data Technology refers to a set of tools, techniques, and technologies designed to process, analyze, and extract valuable insights from large and complex datasets that traditional data processing systems cannot handle efficiently. Big Data enables organizations to create personalized experiences for customers by analyzing their preferences and behaviours. This results in more effective targeted marketing campaigns and higher customer engagement.
According to the Worldwide Big Data and Analytics Spending Guide published in 2022, the spending on big data technology will rise by 1.6 times by 2025.
Digital transformation
As organizations strive to stay competitive and relevant in the digital era, they are increasingly embracing big data technologies to harness the immense potential of data. Big Data technologies enable organizations to capture, process, and analyze vast amounts of data from diverse sources, empowering them to derive actionable insights. Moreover, big data facilitates the development of data-driven business models, opening avenues for new revenue streams and improved efficiency. As a result, digital transformation is a significant factor propelling market demand.
Data security and privacy concerns
The massive volume and diverse sources of data collected and analyzed expose organizations to potential security breaches and unauthorized access. As big data applications involve the processing of sensitive information, there is a heightened risk of privacy violations, leading to legal and reputational repercussions. However, compliance with data protection regulations, such as GDPR and CCPA, adds complexity to the challenge. Therefore, data security and privacy concerns pose a critical restraint hampering market expansion.
Technological advancements
Continuous innovation in computing power, storage capabilities, and networking infrastructure contributes to the scalability and efficiency of big data solutions. The integration of artificial intelligence (AI) and machine learning (ML) algorithms enhances data analytics, enabling more sophisticated pattern recognition and predictive modeling. Moreover, the development of advanced data processing frameworks, such as Apache Hadoop and Apache Spark, further accelerates the analysis of large datasets.
Lack of skilled workforce
The rapid evolution of big data technologies has outpaced the availability of professionals with the requisite expertise. The demand for data scientists, analysts, and engineers proficient in handling large datasets and implementing advanced analytics is consistently high. However, a shortage impedes the effective adoption and utilization of big data solutions across industries. Moreover, small and medium-sized enterprises may find it challenging to attract and retain skilled personnel due to competition and resource constraints.
Covid-19 Impact
The COVID-19 pandemic had a significant impact on the big data technology market. With the sudden surge in remote work, e-commerce, and digital interactions, organizations increasingly rely on big data analytics to navigate the evolving landscape. The demand for real-time data insights surged, driving the adoption of big data technologies for agile decision-making and crisis management. Moreover, economic uncertainties during the pandemic led some businesses to reassess their technology budgets, impacting investment plans in big data projects.
The big data analytics segment is expected to be the largest during the forecast period
The big data analytics segment is estimated to hold the largest share. Big Data Analytics empowers businesses to make informed decisions, optimize processes, and gain a competitive edge in a modern data-driven environment. This process encompasses various methodologies, including machine learning, predictive analytics, and data mining, enabling organizations to derive actionable insights from their data. As businesses continue to grapple with ever-expanding datasets, the demand for proficient big data analytics solutions remains high.
The BFSI segment is expected to have the highest CAGR during the forecast period
The BFSI segment is anticipated to have lucrative growth during the forecast period. Big data analytics in BFSI involves processing and analyzing large datasets to derive insights related to customer behavior, fraud detection, and market trends. Predictive analytics plays a crucial role in assessing credit risk, identifying potential fraud, and optimizing investment portfolios. Moreover, real-time analytics aids in monitoring financial transactions for suspicious activities and ensuring regulatory compliance. As the BFSI sector continues to navigate a complex and dynamic landscape, the integration of big data technologies becomes essential.
North America commanded the largest market share during the extrapolated period. The region's well-established technological infrastructure, extensive investment capabilities, and mature business ecosystem contribute to its dominance. The region benefits from a skilled workforce including data scientists and engineers, driving continuous development in analytics, machine learning, and artificial intelligence. Moreover, the region's strategic position and commitment to technological advancements position it as a key player, shaping the trajectory of the big data technology market on a global scale.
Asia Pacific is expected to witness profitable growth over the projection period. Increasing digitization, a burgeoning population, and a rising middle class contribute to a substantial data generation ecosystem, providing ample opportunities for big data applications. Furthermore, governments in the region are actively promoting digital transformation, smart city initiatives, and Industry 4.0, driving the demand for advanced analytics and data-driven decision-making.
Key players in the market
Some of the key players in the Big Data Technology Market include Oracle Corporation, Cisco Systems, Inc., Microsoft Corporation, Hitachi Limited, IBM Corporation, Teradata Corporation, SAP SE, Fujitsu Limited, Dell Technologies, Inc., Amazon Web Services, Google Analytics, Accenture and Informatica.
In January 2024, Fujitsu and Delft University of Technology announced the establishment of the Fujitsu Advanced Computing Lab Delft at Delft University of Technology, an industry-academia collaboration hub dedicated to the development of quantum computing technologies.
In September 2023, Oracle Corporation and Microsoft expand partnership to deliver Oracle Database Services on Oracle Cloud Infrastructure in Microsoft Azure datacenters.
In September 2023, Oracle and Informatica an enterprise cloud data management leader, have advanced their strategic partnership with the creation of an Oracle Cloud Infrastructure (OCI) point of delivery to thousands of joint customers across North America.
In May 2023, Fujitsu Limited and Microsoft Corporation announced a five-year strategic partnership to significantly expand their existing collaboration.
In April 2023, Dell Technologies collaborates with Ericsson to deliver added resilience and interconnectivity to aid communications service providers in their Cloud RAN journey