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市場調查報告書
商品編碼
1642084

進階分析：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030）

Advanced Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

進階分析市場規模預計在 2025 年為 575.5 億美元，預計到 2030 年將達到 1521.2 億美元，預測期內（2025-2030 年）的複合年成長率為 21.46%。

高階分析-市場-IMG1

進階分析使用資料驅動、基於事實的資訊來幫助企業識別趨勢和模式、解決問題、對未來做出準確預測並推動改進。透過向組織提供複雜的演算法和分析技術，我們超越了商業智慧，提供更細緻、更詳細的答案，從而做出更有創意、更明智的決策。

主要亮點

  • 市場成長的關鍵驅動力是使用機器學習和人工智慧（AI）為客戶提供更個人化的體驗、網路購物的興起以及社交網路平台的普及。
  • 使用高階分析進行需求預測可以幫助企業做出盈利的決策。其他產業，包括政府機構、銀行、製造業和專業服務業，最近也大力投資巨量資料分析。
  • 社會日益普及所產生的資料包含著傳統分析技術無法發現的隱藏模式。如果使用得當，進階分析解決方案可以幫助企業發現重要的隱藏資料，並可用於為客戶提供更個人化的服務。
  • 然而，對資料隱私以及與第三方高階分析平台共用的擔憂可能會在預測期內減緩市場發展。

受新冠疫情導致的需求突然增加的推動，高級分析市場在過去幾年中取得了巨大的發展。這是因為企業希望利用客戶不斷成長的線上影響力，從而對最尖端科技和資料分析解決方案產生巨大的需求。

進階分析市場趨勢

數位化趨勢的上升和數位資料創造的增加正在推動市場成長

  • 過去幾十年來，數位資料的創造急劇增加。數位資料激增的主要原因之一是智慧型手機和電腦等數位設備在普通人的日常生活中的使用越來越多。
  • 物聯網 (IoT) 的廣泛應用以及眾多物聯網設備產生的資料也刺激了資料繁榮。
  • 此外，數位化業務的採用將推動先進的分析解決方案。零售和電子商務企業採用數位轉型提供了應對不斷變化的挑戰的新方法，降低了營運成本，從而對市場成長產生了積極影響。
  • 必須使用進階分析和資料探勘來篩選這些大量資料並找到能夠幫助企業在許多領域做出更好決策的趨勢。
  • 此外，隨著越來越多的企業在其基礎設施中添加巨量資料工具和分析解決方案，高級分析市場預計將進一步成長。

預計北美將佔很大佔有率

  • 預計北美將佔據最大的市場佔有率，其中美國將佔據主導地位。來自低成本地區公司的競爭意味著該地區對最尖端科技更加開放，擁有支援這些技術的基礎設施，並渴望儘早採用這些技術，從而獲得了優勢。
  • 此外，該地區擁有大量領先的分析解決方案提供商，有助於市場成長。該地區的供應商包括 IBM Corporation、Oracle Corporation、SAS Institute Inc. 和 Microsoft Corporation。
  • 在預測期內，隨著公司尋求了解其擁有的資料並發現各個行業的模式，預計該地區的市場資本流入能力將很高。
  • 此外，該地區的社群媒體採用率正在顯著成長，這有助於擴大高階分析產業。該地區是高級分析成長的關鍵市場，因為其已建立的基礎設施有利於快速採用新技術。

高階分析行業概覽

高階分析市場相當集中，少數大公司佔大部分市場，特別是在企業部署方面。參與資料處理價值鏈的各個階段加強了市場參與企業的地位。大公司主導該行業，因為它們可以大規模提供創新、高品質的服務，並根據每個客戶的需求進行客製化。

2022 年 8 月，SAS 和 SingleStore 宣布合作，透過 SAS Viya 提供下一代資料和分析架構，該架構支援對儲存在 SingleStore 雲端原生即時資料庫中的資料使用 SAS 分析和 AI 技術。該整合旨在透過提供對精選資料的靈活開放訪問，並透過 SAS 分析功能降低資料管理和整合的複雜性以及訓練高級模型所需的運算時間，從而幫助加速跨雲端、混合和本地部署的價值。

其他福利：

  • Excel 格式的市場預測 (ME) 表
  • 3 個月的分析師支持

目錄

第 1 章 簡介

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概況
  • 產業價值鏈分析
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 消費者議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭強度
  • COVID-19 市場影響

第5章 市場動態

  • 市場促進因素
    • 預防詐欺的需求日益增加
    • 巨量資料挑戰需求不斷成長
    • 數位化趨勢和數位資料的增加
    • 先進分析解決方案的技術開發
  • 市場限制
    • 缺乏資料整合和連接

第6章 市場細分

  • 按類型
    • 統計分析
    • 文字分析
    • 風險分析
    • 預測分析
    • 其他類型
  • 按最終用戶產業
    • BFSI
    • 零售和消費品
    • 衛生保健
    • 資訊科技/通訊
    • 運輸和物流
    • 政府和國防
    • 其他最終用戶產業
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 其他歐洲國家
    • 亞太地區
      • 中國
      • 日本
      • 印度
      • 其他亞太地區
    • 拉丁美洲
    • 中東和非洲

第7章 競爭格局

  • 公司簡介
    • IBM Corporation
    • SAS Institute Inc.
    • Oracle Corporation
    • SAP SE
    • Microsoft Corporation
    • KNIME AG
    • RapidMiner Inc.
    • Alteryx Inc.
    • Avanade Inc.
    • Fair Isaac Corporation（FICO）
    • TIBCO Software Inc.
    • Altair Engineering Inc.

第8章投資分析

第9章：未來機遇

簡介目錄
Product Code: 66555

The Advanced Analytics Market size is estimated at USD 57.55 billion in 2025, and is expected to reach USD 152.12 billion by 2030, at a CAGR of 21.46% during the forecast period (2025-2030).

Advanced Analytics - Market - IMG1

Advanced Analytics uses data-driven, fact-based information to assist businesses in identifying trends and patterns, resolving issues, making precise future predictions, and driving improvements. It goes beyond business intelligence by giving an organization complex algorithms and analytical techniques that let them give more nuanced, detailed answers and make more original, well-informed decisions.

Key Highlights

  • The main things that are driving the growth of the market are the use of machine learning and artificial intelligence (AI) to give customers more personalized experiences, the rise of online shopping, and the spread of social networking platforms.
  • Utilizing sophisticated analytics in demand forecasting can support businesses in making profitable decisions. Governmental organizations and other sectors, including banking, manufacturing, and professional services, have recently invested significantly in big data analytics.
  • The data produced due to rising social penetration contains hidden patterns that cannot be discovered using conventional analytics methods. When used correctly, advanced analytics solutions can help companies find important hidden data that can be used to tailor their services to customers.
  • However, concerns about data privacy and sharing with third-party advanced analytics platforms may stymie the market forecast period.

Due to the COVID-19 pandemic's abrupt rise in demand during that time, the advanced analytics market experienced tremendous development over the last few years. This was because companies wanted to take advantage of their customers' growing online presence, which led to a big rise in demand for cutting-edge technologies and data analytics solutions.

Advanced Analytics Market Trends

Growing Digitization Trends and Increased Digital Data Production to Drive the Market Growth

  • Digital data creation has increased dramatically during the last few decades. One of the leading causes of this surge in the generation of digital data is the increased use of digital devices, such as smartphones and computers, in the daily lives of ordinary people.
  • The growing popularity of the Internet of Things (IoT) and the data made by many IoT devices have also contributed to the data boom.
  • Moreover, the adoption of digital operations facilitates advanced analytics solutions. It provides new ways to tackle evolving challenges, and the adoption of digital transformation in retail and e-commerce businesses has reduced operating costs, positively impacting market growth.
  • Advanced analytics and data mining must be used to sort through these huge amounts of data to find trends that can help companies make better decisions in many areas.
  • The market for advanced analytics is also likely to grow even more as more organizations add big data tools and analysis solutions to their infrastructure.

North America is Expected to Hold a Significant Share

  • The largest market share is anticipated in North America, with the United States dominating the sector. Due to competition from companies that operate in low-cost areas, the region has become dominant because it is becoming more open to cutting-edge technologies, has the infrastructure to support them, and wants to adopt them early.
  • Additionally, there is a significant presence of advanced analytics solution providers in the area, which is likely to boost market growth there. The vendors in the area are IBM Corporation, Oracle Corporation, SAS Institute Inc., and Microsoft Corporation.
  • During the period of projection, this region is expected to have a high market's ability to bring in money because businesses want to understand the data they have and find patterns in different fields.
  • The adoption of social media has also increased significantly in the area, which has helped the advanced analytics industry expand. This area has become an important market for the growth of advanced analytics because it has a well-established infrastructure that makes it easier for new technologies to be adopted quickly.

Advanced Analytics Industry Overview

The market for advanced analytics is pretty consolidated, with a few big companies controlling a big chunk of it, especially when it comes to enterprise adoption.Their participation at all stages of the value chain for data handling strengthens their market positions. Large businesses dominate this sector because they can offer innovative, high-quality services on a wide range of scales and customize them to meet the needs of each customer.

In August 2022, SAS and SingleStore announced their collaboration to deliver next-generation data and analytics architectures with SAS Viya, which enables the use of SAS analytics and AI technology on data stored in SingleStore's cloud-native real-time database. The integration provides flexible, open access to curated data to help accelerate value for cloud, hybrid, and on-premises deployments, and through SAS' analytic performance, the companies aim to reduce the complexity of data management and integration as well as the computational time required to train sophisticated models.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Bargaining Power of Suppliers
    • 4.3.2 Bargaining Power of Consumers
    • 4.3.3 Threat of New Entrants
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry
  • 4.4 Impact of COVID-19 on the market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Need to Prevent Fraudulent Activities
    • 5.1.2 Increasing Demand to Counter Big Data Challenges
    • 5.1.3 Growing Digitization Trends and Increased Digital Data Production
    • 5.1.4 Technological Developments of Advanced Analytics Solutions
  • 5.2 Market Restraints
    • 5.2.1 Lack of Data Integration and Connectivity

6 MARKET SEGMENTATION

  • 6.1 Type
    • 6.1.1 Statistical Analysis
    • 6.1.2 Text Analytics
    • 6.1.3 Risk Analytics
    • 6.1.4 Predictive Analytics
    • 6.1.5 Other Types
  • 6.2 End-user Industry
    • 6.2.1 BFSI
    • 6.2.2 Retail and Consumer Goods
    • 6.2.3 Healthcare
    • 6.2.4 IT & Telecommunication
    • 6.2.5 Transportation & Logistics
    • 6.2.6 Government & Defense
    • 6.2.7 Other End-user Industries
  • 6.3 Geography
    • 6.3.1 North America
      • 6.3.1.1 United States
      • 6.3.1.2 Canada
    • 6.3.2 Europe
      • 6.3.2.1 Germany
      • 6.3.2.2 United Kingdom
      • 6.3.2.3 France
      • 6.3.2.4 Rest of Europe
    • 6.3.3 Asia-Pacific
      • 6.3.3.1 China
      • 6.3.3.2 Japan
      • 6.3.3.3 India
      • 6.3.3.4 Rest of Asia-Pacific
    • 6.3.4 Latin America
    • 6.3.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 IBM Corporation
    • 7.1.2 SAS Institute Inc.
    • 7.1.3 Oracle Corporation
    • 7.1.4 SAP SE
    • 7.1.5 Microsoft Corporation
    • 7.1.6 KNIME AG
    • 7.1.7 RapidMiner Inc.
    • 7.1.8 Alteryx Inc.
    • 7.1.9 Avanade Inc.
    • 7.1.10 Fair Isaac Corporation (FICO)
    • 7.1.11 TIBCO Software Inc.
    • 7.1.12 Altair Engineering Inc.

8 INVESTMENT ANALYSIS

9 FUTURE OPPORTUNITIES