市場調查報告書
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高階分析市場:2023 年至 2028 年預測Advanced Analytics Market - Forecasts from 2023 to 2028 |
高階分析市場預計到 2028 年市場規模將從 2021 年的 244.16 億美元增至 1,258.47 億美元,預測期內複合年成長率為 26.40%。
高階分析包括對可用資料的自主或半自動探索,以產生可增強決策的有價值的見解。透過組織、過濾、解釋和預測資料來產生對組織的規劃和策略開拓產生更大影響的業務成果,變得更加資料主導並與未來的市場狀況更加緊密地結合。
此外,雲端技術的日益採用和技術普及的擴大在高階分析市場的發展中發揮著至關重要的作用。因為它們有助於提供豐富的可用資料,並進一步增強對消費者偏好的洞察。例如,IBM(R) Cognos(R) Analytics 透過人工智慧驅動的見解為組織提供資料驅動的決策支援。最新版本在與 IBM資料結構架構無縫整合的單一安全環境中擴展了分析功能。人工智慧和機器學習 (ML) 的整合使用戶能夠發現隱藏的資料模式,並清晰地視覺化用於生成見解和預測的方法。
該行業的成長得益於 IT、電信、醫療保健、BFSI、消費品、零售等領域的主要企業擴大採用高階分析解決方案,例如客戶和業務分析。這些解決方案幫助我們有效管理龐大的客戶和資料庫。此外,許多領先的公司正在整合先進的分析來提高收益、增強分析能力並更好地管理風險。
飛利浦《2022 年未來健康指數》報告的資料顯示,近年來,各國醫療保健產業對預測分析工具的採用率顯著成長。根據《2022 年報告》,新加坡已成為醫療保健領域採用預測分析的領導者,採用率高達 92%,令人印象深刻。中國緊隨其後,採用率達到 79%,巴西、美國、印尼、義大利、法國和印度等幾個國家的採用率仍在不斷提高,從 59% 增加到 66%。因此,預測分析在醫療保健領域的強勁採用趨勢顯示了進階分析的更廣泛趨勢。醫療保健提供者擴大利用預測分析來實現更有效率、資料主導的決策,從而推動高階分析市場的成長。
此外,人工智慧整合資料分析解決方案目前正應用於醫療資料挖掘,以製定量身定做的治療計劃。例如,2021 年 2 月,IBM 與專門從事巨量資料分析的軟體公司 Palantir Technologies 合作,為醫療保健提供者、研究人員和研究機構提供一致的資料集。這種合作使他們能夠分析資料並產生有利於企業和患者的結果。
美國高級分析市場預計將穩定成長。
在美國,甲骨文公司、IBM等公司已進入該市場,且技術滲透不斷推進,預計將佔據較大市場佔有率。此外,社群媒體在國內已經非常普及,這也是市場的一個主要因素。此外,該國還提供基礎設施,幫助企業在這一領域取得優異成績。
利用該國不斷成長的成長,各公司正在合作提供一流的技術。例如,2022 年 8 月,總部位於美國北卡羅來納州的 SAS 與總部位於美國舊金山的 SingleStore 合作提供下一代資料和分析架構。這種合作關係旨在消除存取資料的障礙,最大限度地提高效能和可擴展性,並最終揭示關鍵的資料主導的見解。
此外,各公司正在合作開發新產品,以幫助個人進行數位轉型。例如,2021 年 12 月,CVS Health 與微軟宣佈建立策略合作夥伴關係,共同開發創新解決方案,協助消費者改善健康。 CVS Health 收集的資料和 Microsoft 開發的客製化演算法使客戶能夠利用 CVS Health 的全通路藥局功能獲得個人化體驗,在消費者最需要的時候提供客製化的健康建議。
2023 年 3 月,NVIDIA 做出策略決策,利用Oracle雲端基礎架構 (OCI) 提供 AI 服務。 Oracle 和 NVIDIA 之間擴大的合作包括在新推出的 Oracle 雲端基礎架構 (OCI) Supercluster(TM) 上運行 NVIDIA 領先的 AI 應用程式。 2023 年 3 月,DXC 科技公司 Luxoft 與即時房地產監控和觀測軟體領先供應商 ITRS 宣佈建立策略合作夥伴關係,為銀行和資本市場平台開發和提供客製化的高階監控解決方案。 2021 年 11 月,高盛宣布與 Amazon Web Services, Inc. (AWS) 合作推出高盛數據金融雲。這項創新套件為金融機構提供客製化的雲端基礎的資料和分析解決方案。此次合作將改變客戶存取、建構和分析雲端中資料的方式,使他們能夠更快地獲得洞察並做出明智的投資選擇。
The advanced analytics market is anticipated to grow at a CAGR of 26.40% during the forecast period and will reach a market size of US$125.847 billion by 2028 from an initial value of US$24.416 billion in 2021.
Advanced analytics encompasses the autonomous or semi-autonomous examination of available data to produce valuable insights that enhance decision-making. It involves organizing, filtering, interpreting, and forecasting data to generate business outcomes that significantly influence an organization's planning and strategy development, making them more data-driven and closely aligned with future market conditions.
In addition, the growing adoption of cloud technology and increased technology penetration play pivotal roles in the advancement of the advanced analytics market. This is because they contribute to the wealth of available data and further enhance the generation of insights into consumer preferences. For example, IBM® Cognos® Analytics enhances data-informed decision-making through AI-powered insights for organizations. The latest release expands its array of analytics features within a single, secure environment seamlessly integrated with IBM's data fabric architecture. This integration with AI and machine learning (ML) empowers users to uncover concealed data patterns and offers clear visibility into the methods used to generate insights and forecasts.
The growth of the industry can be attributed to the increased adoption of advanced analytics solutions, such as customer and business analytics, by major organizations in sectors like IT, telecom, healthcare, BFSI, consumer goods, and retail. These solutions aid in the efficient management of their extensive customer and asset databases. Moreover, many significant businesses are integrating advanced analytics to boost their revenue, enhance their analytical capabilities, and fortify risk management practices.
The data from the Philips Future Health Index 2022 reports reveals a substantial growth in the rate of adoption of predictive analytics tools by the countries in the healthcare industry in recent years. According to the report 2022, Singapore emerges as the top leader in the adoption of predictive analytics in healthcare with an impressive 92% adoption rate. China closely follows at 79%, while several countries, including Brazil, the United States, Indonesia, Italy, France, and India, are still in the process of growing their adoption rates, ranging from 59% to 66%. Thus, the robust adoption of predictive analytics in healthcare signifies a broader trend in advanced analytics. As healthcare providers increasingly utilize predictive analytics for more efficient and data-driven decision-making, it catalyzes the growth of the advanced analytics market
Furthermore, AI-integrated data analytics solutions are now applied in healthcare data mining to develop tailored treatment plans, for example, in February 2021, IBM joined forces with Palantir Technologies, a software company specializing in big data analytics, to provide consistent datasets for healthcare providers, researchers, and institutions. This collaboration allows them to analyze data and generate outcomes that benefit their businesses and patients.
The USA's advanced analytics market is anticipated to grow steadily.
The USA is expected to hold a significant share in the market due to increased penetration of technology in the country coupled with the presence of players such as Oracle Corporation, and IBM in the country. Additionally, in the country, the adoption of social media is significant, which is also one of the major reasons for the market. Moreover, the country provides an infrastructure to the companies which helps them excel in the field.
Taking advantage of increasing growth in the country companies are collaborating to deliver best-in-class technologies. For instance, in August 2022, SAS headquartered in North Carolina, USA, and SingleStore headquartered in San Francisco, USA partnered to deliver next-generation data and analytics architecture. This partnership aims to remove data barriers to access data, maximize performance and scalability, and lastly uncover key data-driven insights.
Moreover, companies are collaborating to develop new products that can help in the digital transformation of an individual. For instance, in December 2021, CVS Health and Microsoft announced a strategic alliance that will develop innovative solutions that will help consumers improve their health. The data collected by CVS Health and the customized algorithm developed by Microsoft will help the customer have a personalized experience with CVS Health's omnichannel pharmacy capabilities and it will deliver customized health recommendations as and when the consumer requires them.