市场调查报告书
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1359007
到 2030 年的高阶分析市场预测:按类型、部署模式、产品、业务功能、用途和区域进行的全球分析Advanced Analytics Market Forecasts to 2030 - Global Analysis By Type, Deployment Mode, Offering, Business Function, Application and By Geography |
根据 Stratistics MRC 的数据,2023 年全球高阶分析市场规模将达到 490.2 亿美元,预计到 2030 年将达到 1,666.4 亿美元,预测期内年复合成长率为 19.1%。
高级分析是用于资料分析和解释的尖端技术和工具的集合,可用于预测未来结果和趋势、获得有用的资讯并做出明智的决策。指向一个集体。它超越了传统的说明分析,包括各种从资料中获得意义的复杂技术。许多行业和领域经常使用高级分析来获得竞争优势、改善工作流程并解决棘手问题。
根据 Usabilla 于 2020 年 6 月发布的博客,排名前 100 的组织将客户授权作为业务增长关键参数的可能性要高出 50%。该部落格称,92% 的领导者正在使用先进的数位转型策略来改善客户体验。
在过去的几十年里,数位资料的产生迅速增长。数位资料产生量快速增加的主要原因之一是一般人在日常生活中开始使用智慧型手机和电脑等数位装置。物联网(IoT)的普及以及大量物联网设备产生的资料也刺激了资料热潮。此外,数位营运支援高阶分析解决方案。零售和电子商务企业采用数位转型正在降低营运成本,并对市场成长产生正面影响。
高级分析通常使用复杂的演算法和技术。将这些解决方案整合到现有 IT 基础架构中可能很困难,并且需要大量的客製化和整合工作。此外,某些领域(例如医疗保健和金融)法规资料和分析的使用有严格的法规要求。要平衡这些挑战与高阶分析带来的好处可能很困难。
随着全球化的发展和经济的成长,对高阶分析解决方案的需求预计将会增加。接触点的增加以及为了解消费者行为而收集资料的需求预计也将推动市场规模的成长。患有慢性疾病和脊髓损伤等残疾的患者有更严重的肠失禁,预计这将推动高阶分析市场的发展。
资料替换是处理个人资料的银行、金融服务和保险 (BFSI) 以及处理集中资料并容易受到网路攻击的医疗保健等行业的资料敏感组织的主要关注点。这些公司必须非常小心地保护客户资讯的安全。资料外洩会影响组织的身份和安全,因此强而有力的安全措施是当务之急。敏感资讯外洩造成的损害阻碍了一些国家的市场,部分相关组织也有责任。
COVID-19 的爆发对高级分析市场产生了积极影响。随着公司改进其线上服务和产品,对分析工具和服务的需求增加。此外,由于 COVID-19 大流行,对在家工作和远距工作政策的需求增加刺激了全球资料分析和远端管理解决方案的发展,从而推动了整个高级分析行业的需求。
巨量资料分析预计将在整个预测期内保持领先地位。社群媒体平台的发展和产生大量资料的线上业务的出现是该细分市场成长的原因。基于 SaaS 的巨量资料分析还可以更轻鬆地部署自动化并支援自助建立有效的分析模型。此外,对巨量资料分析解决方案不断增长的需求促使巨量资料服务供应商增加了对云端技术的投资。
预计本地领域将快速成长。本地解决方案使企业能够更轻鬆地自订其 IT 基础设施,减少对网路的依赖,并保护敏感的公司资讯免遭诈骗和盗窃。由于这些优势,预计各大公司都会选择本地部署。此外,由于对新帐户诈骗和帐户接管等诈欺活动的担忧日益增加,BFSI 行业的公司更喜欢本地解决方案。本地系统不易受到此类诈欺的影响,因此我们对该部门的扩张感到鼓舞。
由于先进的技术、发达的商业环境以及资料主导策略的广泛采用,预计在预测期内,高级分析的最大区域将是北美。科技巨头、创造性新兴企业和知名研究机构的集中培育了创建尖端分析解决方案的充满活力的环境。金融、医疗保健和零售只是该地区严重依赖高级分析来简化业务并从资料中提取知识的部分行业。此外,北美有能力推动市场发展,因为该地区专注于利用资料资产和创新中心。
亚太地区的高级分析市场预计在预测期内将显着增长。这种扩张是由该地区越来越多地使用巨量资料分析工具和解决方案所推动的。此外,在预测期内,公司预计将增加对客户分析的投资,以提高生产力和成功率。此外,该地区大量旅游的存在预计将促进高级分析市场的扩张。
According to Stratistics MRC, the Global Advanced Analytics Market is accounted for $49.02 billion in 2023 and is expected to reach $166.64 billion by 2030 growing at a CAGR of 19.1% during the forecast period. Advanced analytics refers to a collection of cutting-edge methods and tools for data analysis and interpretation that can be used to predict future outcomes or trends, gain useful insights, and make well-informed decisions. It includes a variety of more complex techniques for deriving meaning from data, going beyond traditional descriptive analytics. Many industries and fields use advanced analytics regularly to gain a competitive advantage, improve workflows, and resolve challenging issues.
According to a blog by Usabilla in June 2020, the top 100 organizations are 50% more likely to address customer empowerment as a key parameter for business growth. The blog also stated that 92% of leaders had employed advanced digital transformation strategies to enhance customer experience.
Over the past few decades, there has been a sharp increase in the production of digital data. The increased use of digital devices, such as smartphones and computers, in everyday life by regular people is one of the main causes of this spike in the generation of digital data. The Internet of Things' (IoT) rising popularity and the data generated by numerous IoT devices have also contributed to the data boom. Additionally, the use of digital operations makes advanced analytics solutions possible. The adoption of digital transformation in retail and e-commerce businesses has decreased operating costs, positively affecting market growth.
Complex algorithms and technologies are frequently used in advanced analytics. It can be difficult to integrate these solutions into an already-existing IT infrastructure and may call for intensive customization and integration work. Additionally, there are stringent regulatory requirements that govern the use of data and analytics in some sectors, including healthcare and finance. It can be challenging to balance these demands with the benefits that advanced analytics can provide.
It is expected that with rising globalization and economic growth, the demand for advanced analytics solutions will increase. The increasing touchpoints and the need for collecting data in order to understand consumer behavior are also projected to boost market size. Patients with chronic illnesses and disabilities, including spinal cord injuries, experience bowel incontinence more severely, which is anticipated to drive the advanced analytics market.
Data exchanges are a major concern for data-sensitive organizations in industry verticals like banking, financial services, and insurance (BFSI), which deals with individual data, and healthcare, which deals with centralized data and is more vulnerable to cyberattacks. To protect the security of customer information, these businesses must exercise extreme caution. Robust security measures are a priority because data breaches affect an organization's identity and security. The harm caused by the leak of sensitive information that is impeding the market in some nations is partially the responsibility of the relevant organizations.
The COVID-19 pandemic had a positive effect on the market for advanced analytics, which displayed positive growth during the time due to an increase in demand for analytics tools and services as companies sought to improve their online services and offerings. Additionally, the COVID-19 pandemic's rise in demand for work-from-home and remote working policies helped to spur the development of global data analytics and remote management solutions, thereby bolstering demand for the entire advanced analytics industry.
It is anticipated that big data analytics will maintain its lead throughout the forecast period. The development of social media platforms and the appearance of online businesses that generate massive amounts of data are both responsible for the segment's growth. SaaS-based big data analytics have also made it easier to install automation and allowed for the self-service construction of effective analytical models. Additionally, big data service providers have increased their investments in cloud technologies in response to the growing demand for big data analytics solutions.
The On-premise segment is expected to experience rapid growth. With on-premise solutions, businesses can more easily customize their IT infrastructure, reduce their reliance on the internet, and safeguard sensitive company information from fraud and theft. These benefits are anticipated to influence major organizations to opt for on-premise deployment. Furthermore, businesses in the BFSI sector prefer the on-premise solution due to growing concerns about frauds like new account fraud and account takeovers. On-premise businesses are less susceptible to these frauds, which is encouraging for the sector's expansion.
The largest region for Advanced Analytics is anticipated to be North America during the forecast period due to its advanced technology, developed business environment, and widespread adoption of data-driven strategies. A vibrant environment for the creation of cutting-edge analytics solutions is fostered by the concentration of technology behemoths, creative startups, and esteemed research institutions. Finance, healthcare, and retail are just a few of the sectors in the area that heavily rely on advanced analytics to streamline operations and extract knowledge from their data. Additionally, the region's focus on leveraging data assets and innovation hubs positions North America as a market-moving force.
During the projected period, the Asia-Pacific advanced analytics market is anticipated to grow lucratively. This expansion is attributed to the region's expanding use of big data analytical tools and solutions. Additionally, businesses are expected to invest more in customer analytics in order to increase productivity and success over the course of the forecast period. Additionally, it is predicted that the presence of numerous travel agencies in the region will support the expansion of the advanced analytics market.
Some of the key players profiled in the Advanced Analytics Market include: Altair Engineering, Inc., Alteryx, Inc., Amazon Web Services Inc., Cloudera, Inc., Databricks, Inc., Fair Isaac Corporation (FICO), Google LLC, International Business Machines Corporation, Knime AG, MathWorks, Inc., Microsoft Corporation, MicroStrategy Incorporated, Oracle Corporation, Qlik Technologies Inc., RapidMiner, Inc., SAP SE, SAS Institute Inc., Tableau Software, LLC, Talend Inc., Teradata Corporation, Tibco Software Inc. and Trianz.
In May 2023, SAP and IBM announced that IBM Watson technology will be embedded into SAP solutions to provide new AI-driven insights and automation.
In March 2023, Google Cloud and Exabeam announced a partnership to help organizations detect and respond to security threats faster and more accurately.
In March 2023, Computer Age Management Services Limited (CAMS), India's largest registrar and transfer agent of mutual funds, signed a definitive agreement to acquire 55% stake in Mumbai-based AI and data science firm Think Analytics India Pvt Ltd (Think360 AI).
Note: Tables for North America, Europe, Asia Pacific, South America and Middle East & Africa Regions are also represented in the same manner as above.