市場調查報告書
商品編碼
1359007
到 2030 年的高階分析市場預測:依類型、部署模式、產品、業務功能、用途和區域進行的全球分析Advanced Analytics Market Forecasts to 2030 - Global Analysis By Type, Deployment Mode, Offering, Business Function, Application and By Geography |
根據 Stratistics MRC 的數據,2023 年全球高階分析市場規模將達到 490.2 億美元,預計到 2030 年將達到 1,666.4 億美元,預測期內年複合成長率為 19.1%。
高級分析是用於資料分析和解釋的尖端技術和工具的集合,可用於預測未來結果和趨勢、獲得有用的資訊並做出明智的決策。指向一個集體。它超越了傳統的說明分析,包括各種從資料中獲得意義的複雜技術。許多行業和領域經常使用高級分析來獲得競爭優勢、改善工作流程並解決棘手問題。
根據 Usabilla 於 2020 年 6 月發布的BLOG,排名前 100 的組織將客戶授權作為業務成長關鍵參數的可能性要高出 50%。該部落格稱,92% 的領導者正在使用先進的數位轉型策略來改善客戶體驗。
在過去的幾十年裡,數位資料的產生迅速成長。數位資料產生量快速增加的主要原因之一是一般人在日常生活中開始使用智慧型手機和電腦等數位裝置。物聯網(IoT)的普及以及大量物聯網設備產生的資料也刺激了資料熱潮。此外,數位營運支援高階分析解決方案。零售和電子商務企業採用數位轉型正在降低營運成本,並對市場成長產生正面影響。
高級分析通常使用複雜的演算法和技術。將這些解決方案整合到現有 IT 基礎架構中可能很困難,並且需要大量的客製化和整合工作。此外,某些領域(例如醫療保健和金融)法規資料和分析的使用有嚴格的法規要求。要平衡這些課題與高階分析帶來的好處可能很困難。
隨著全球化的發展和經濟的成長,對高階分析解決方案的需求預計將會增加。接觸點的增加以及為了解消費者行為而收集資料的需求預計也將推動市場規模的成長。患有慢性疾病和脊髓損傷等殘疾的患者有更嚴重的腸失禁,預計這將推動高階分析市場的發展。
資料替換是處理個人資料的銀行、金融服務和保險 (BFSI) 以及處理集中資料並容易受到網路攻擊的醫療保健等行業的資料敏感組織的主要關注點。這些公司必須非常小心地保護客戶資訊的安全。資料外洩會影響組織的身份和安全,因此強而有力的安全措施是當務之急。敏感資訊外洩造成的損害阻礙了一些國家的市場,部分相關組織也有責任。
COVID-19 的爆發對高級分析市場產生了積極影響。隨著公司改進其線上服務和產品,對分析工具和服務的需求增加。此外,由於 COVID-19 大流行,對在家工作和遠距工作政策的需求增加刺激了全球資料分析和遠端管理解決方案的發展,從而推動了整個高級分析行業的需求。
巨量資料分析預計將在整個預測期內保持領先地位。社群媒體平台的發展和產生大量資料的線上業務的出現是該部門市場成長的原因。基於 SaaS 的巨量資料分析還可以更輕鬆地部署自動化並支援自助建立有效的分析模型。此外,對巨量資料分析解決方案不斷成長的需求促使巨量資料服務供應商增加了對雲端技術的投資。
預計本地空間將快速增長。 內部部署解決方案使公司能夠更輕鬆地定製其IT基礎架構,減少對Internet的依賴,並保護敏感的公司資訊免受欺詐和盜竊。 由於這些優勢,預計領先企業將選擇本地部署。 此外,BFSI行業的公司更喜歡本地解決方案,因為人們越來越擔心欺詐活動,例如新帳戶欺詐和帳戶接管。 內部部署模型不太容易受到這些欺詐的影響,因此該行業的擴張令人鼓舞。
由於先進的技術、發達的商業環境以及資料主導策略的廣泛採用,預計在預測期內,高級分析的最大區域將是北美。科技巨頭、創造性新興企業和知名研究機構的集中培育了創建尖端分析解決方案的充滿活力的環境。金融、醫療保健和零售只是該地區嚴重依賴高級分析來簡化業務並從資料中提取知識的部分行業。此外,北美有能力推動市場發展,因為該地區專注於利用資料資產和創新中心。
亞太地區的高級分析市場預計在預測期內將顯著成長。這種擴張是由該地區擴大使用巨量資料分析工具和解決方案所推動的。此外,在預測期內,公司預計將增加對客戶分析的投資,以提高生產力和成功率。此外,該地區大量旅遊的存在預計將促進高級分析市場的擴張。
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.