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市場調查報告書
商品編碼
1001178

數據分析生態系統中的創新大趨勢

Transformative Mega Trends in the Data Analytics Ecosystem

出版日期: | 出版商: Frost & Sullivan | 英文 29 Pages | 商品交期: 最快1-2個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

幾個世紀以來,組織一直在分析內部和外部數據,以將其反映在決策過程中。 1800年代後期,弗雷德裡克溫斯洛泰勒(Frederick Winslow Taylor)因研究組織及其工作流程以提高企業生產力,測量數據以幫助企業發展和精簡而聞名,這一領域誕生了。在接下來的幾十年中,供應商和服務提供商應運而生,以滿足特定領域的數據分析需求,例如財務和運營優化以及供應鏈效率。這些提供者主要是孤立的。

但是,隨著雲計算的普及,提供分析服務的模型已經發生了巨大變化。日益緊密聯繫的企業的活動產生了大量標準化數據,並將其存儲在公共雲和私有雲中,使企業比以往任何時候都能夠處理數據分析和人工智能(AI)。

本報告分析了構成當今數據分析和AI生態系統的競爭力和大趨勢,如何應對趨勢,增長機會,分析和AI變化,合作夥伴關係,收購和新功能,並指出瞭如何制定戰略重點的方向,例如的建設。

目錄

戰略要求

  • 為什麼增長變得更加困難
  • 戰略要務8(TM)
  • 前三項戰略要求對分析和AI行業的影響
  • 促進增長管道引擎(TM)的增長機會

增長機會分析-數據分析

  • 數據分析生態系統
  • 數據分析大趨勢:雲計算改變了數據分析生態系統
  • 影響分析生態系統主要參與者的雲趨勢
  • 趨勢1:雲優先數據分析堆棧上的壓力使CSP支配了數據分析服務的管道
  • 趨勢2: "見解即服務(IaaS)" 模型隨著快速增長的 "分析即服務(AaaS)" 模型而出現
  • 趨勢3:提供利基產品和服務的新應用軟件開發人員
  • 趨勢4:數據供應商將提供一個平台,該平台支持交換和分析來自多個來源的數據,而不是單獨提供自己的數據。
  • 趨勢5:IT服務提供商投資上游功能以增強其服務組合
  • 趨勢6:運營商在AI上進行投資以滿足不斷變化的客戶需求並提高其運營能力

增長機會領域-數據分析

  • 增長機會1:物聯網解決方案和AI的集成,以實現自動控制和監視(2021)
  • 增長機會2:為低延遲分析構建邊緣基礎架構(2021)
  • 增長機會3:降低道德風險的AI道德管理(2021)
  • 免責聲明
目錄
Product Code: PB99-69

Disruptive Technologies in the Analytics and AI Market

Organizations have been analyzing internal and external data to inform their decision-making process for centuries. In the late 1800s, Frederick Winslow Taylor famously studied the organization and its workflows to improve business productivity, which gave rise to an entire field of study dedicated to helping companies grow and become more efficient by measuring data. In the decades that followed, the world witnessed the emergence of vendors and service providers that catered to data analysis needs in specific areas, such as finance, operations optimization, and supply chain efficiency. These providers largely operated in silos.

The near-ubiquity of cloud computing has completely revolutionized the analytics delivery model. With massive amounts of standardized data being generated from the activities of increasingly connected enterprises and being stored on public and private cloud, businesses can now approach data analytics and artificial intelligence (AI) from a whole-of-enterprise perspective like never before.

This study takes a look at the competitive forces and Mega Trends shaping the data analytics and AI ecosystem today. These developments have resulted in the compression of customer value chains and the creation of expansive new analytics partnership ecosystems that will define how analytics and AI services are extended and consumed in the future. In addition, this study helps end-users understand the evolving analytics and AI marketplace as they consider investing in cognitive capabilities. It also offers direction to market participants on how to chart their strategic priorities, such as partnerships, acquisitions, and building new capabilities in response to the changes in the analytics and AI space.

Table of Contents

Strategic Imperatives

  • Why Is It Increasingly Difficult to Grow?
  • The Strategic Imperative 8™
  • The Impact of the Top Three Strategic Imperatives on the Analytics and AI Industry
  • Growth Opportunities Fuel the Growth Pipeline Engine™

Growth Opportunity Analysis-Data Analytics

  • Data Analytics Ecosystem
  • Data Analytics Mega Trend: Cloud Computing Has Radically Transformed the Data Analytics Ecosystem
  • Cloud Trends Impacting Key Participants in the Analytics Ecosystem
  • Trend 1: The Push Toward a Cloud-first Data Analytics Stack is Allowing CSPs to Dominate the Pipeline for Data Analytics Services
  • Trend 1: The Push Toward a Cloud-first Data Analytics Stack is Allowing CSPs to Dominate the Pipeline for Data Analytics Services (continued)
  • Trend 2: The Nascent Insights-as-a-service (IaaS) Model is Emerging Alongside the Fast-growing Analytics-as-a-service (AaaS) Model
  • Trend 2: The Nascent Insights-as-a-service (IaaS) Model is Emerging Alongside the Fast-growing Analytics-as-a-service (AaaS) Model (continued)
  • Trend 3: A New Breed of Application Software Developers is Focusing on Niche Product and Service Offerings
  • Trend 3: A New Breed of Application Software Developers is Focusing on Niche Product and Service Offerings (continued)
  • Trend 4: Data Vendors are Evolving from Offering Proprietary Data as a Standalone Product to Offering Platforms that Support the Exchange and Analysis of Data from Multiple Sources
  • Trend 5: IT Service Providers are Investing in Upstream Capabilities to Strengthen Their Service Portfolio
  • Trend 6: Telcos are Investing in AI to Meet Evolving Customer Needs and to Improve Their Own Operational Capabilities

Growth Opportunity Universe-Data Analytics

  • Growth Opportunity 1: Integration of AI With IoT Solutions for Automated Control and Monitoring, 2021
  • Growth Opportunity 1: Integration of AI With IoT Solutions for Automated Control and Monitoring, 2021 (continued)
  • Growth Opportunity 2: Building Edge Infrastructure for Low Latency Analytics, 2021
  • Growth Opportunity 2: Building Edge Infrastructure for Low Latency Analytics, 2021 (continued)
  • Growth Opportunity 3: AI Ethical Controls for Ethical Risk Reduction, 2021
  • Growth Opportunity 3: AI Ethical Controls for Ethical Risk Reduction, 2021 (continued)
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