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市场调查报告书
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1642084

进阶分析:市场占有率分析、产业趋势与统计、成长预测(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个工作天内

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简介目录

进阶分析市场规模预计在 2025 年为 575.5 亿美元,预计到 2030 年将达到 1521.2 亿美元,预测期内(2025-2030 年)的复合年增长率为 21.46%。

高阶分析-市场-IMG1

进阶分析使用资料驱动、基于事实的资讯来帮助企业识别趋势和模式、解决问题、对未来做出准确预测并推动改进。透过向组织提供复杂的演算法和分析技术,我们超越了商业智慧,提供更细緻、更详细的答案,从而做出更有创意、更明智的决策。

主要亮点

  • 市场成长的关键驱动力是使用机器学习和人工智慧(AI)为客户提供更个人化的体验、网路购物的兴起以及社交网路平台的普及。
  • 使用高阶分析进行需求预测可以帮助企业做出盈利的决策。其他产业,包括政府机构、银行、製造业和专业服务业,最近也大力投资巨量资料分析。
  • 社会日益普及所产生的资料包含着传统分析技术无法发现的隐藏模式。如果使用得当,进阶分析解决方案可以帮助企业发现重要的隐藏资料,并可用于为客户提供更个人化的服务。
  • 然而,对资料隐私以及与第三方高阶分析平台共用的担忧可能会在预测期内减缓市场发展。

受新冠疫情导致的需求突然增加的推动,高级分析市场在过去几年中取得了巨大的发展。这是因为企业希望利用客户不断增长的线上影响力,从而对最尖端科技和资料分析解决方案产生巨大的需求。

进阶分析市场趋势

数位化趋势的上升和数数位资料创造的增加正在推动市场成长

  • 过去几十年来,数位资料的创造急剧增加。数位资料激增的主要原因之一是智慧型手机和电脑等数位设备在普通人的日常生活中的使用越来越多。
  • 物联网 (IoT) 的广泛应用以及众多物联网设备产生的资料也刺激了资料繁荣。
  • 此外,数位化业务的采用将推动先进的分析解决方案。零售和电子商务企业采用数位转型提供了应对不断变化的挑战的新方法,降低了营运成本,从而对市场成长产生了积极影响。
  • 必须使用进阶分析和资料探勘来筛选这些大量资料并找到能够帮助企业在许多领域做出更好决策的趋势。
  • 此外,随着越来越多的企业在其基础设施中添加巨量资料工具和分析解决方案,高级分析市场预计将进一步成长。

预计北美将占很大份额

  • 预计北美将占据最大的市场占有率,其中美国将占据主导地位。来自低成本地区公司的竞争意味着该地区对最尖端科技更加开放,拥有支援这些技术的基础设施,并渴望儘早采用这些技术,从而获得了优势。
  • 此外,该地区拥有大量领先的分析解决方案提供商,有助于市场成长。该地区的供应商包括 IBM Corporation、Oracle Corporation、SAS Institute Inc. 和 Microsoft Corporation。
  • 在预测期内,随着公司寻求了解其拥有的资料并发现各个行业的模式,预计该地区的市场资本流入能力将很高。
  • 此外,该地区的社群媒体采用率正在显着增长,这有助于扩大高阶分析产业。该地区是高级分析成长的关键市场,因为其已建立的基础设施有利于快速采用新技术。

高阶分析行业概览

高阶分析市场相当集中,少数大公司占大部分市场,特别是在企业部署方面。参与资料处理价值链的各个阶段加强了市场参与企业的地位。大公司主导该行业,因为它们可以大规模提供创新、高品质的服务,并根据每个客户的需求进行客製化。

2022 年 8 月,SAS 和 SingleStore 宣布合作,透过 SAS Viya 提供下一代资料和分析架构,该架构支援对储存在 SingleStore 云端原生即时资料库中的资料使用 SAS 分析和 AI 技术。该整合旨在透过提供对精选资料的灵活开放访问,并透过 SAS 分析功能降低资料管理和整合的复杂性以及训练高级模型所需的运算时间,从而帮助加速跨云端、混合和本地部署的价值。

其他福利:

  • Excel 格式的市场预测 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章 简介

  • 研究假设和市场定义
  • 研究范围

第二章调查方法

第三章执行摘要

第四章 市场洞察

  • 市场概况
  • 产业价值链分析
  • 产业吸引力-波特五力分析
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争强度
  • COVID-19 市场影响

第五章 市场动态

  • 市场驱动因素
    • 预防诈欺的需求日益增加
    • 巨量资料挑战需求不断成长
    • 数位化趋势和数数位资料的增加
    • 先进分析解决方案的技术开发
  • 市场限制
    • 缺乏资料整合和连接

第六章 市场细分

  • 按类型
    • 统计分析
    • 文字分析
    • 风险分析
    • 预测分析
    • 其他类型
  • 按最终用户产业
    • BFSI
    • 零售和消费品
    • 卫生保健
    • 资讯科技/通讯
    • 运输和物流
    • 政府和国防
    • 其他最终用户产业
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 德国
      • 英国
      • 法国
      • 其他欧洲国家
    • 亚太地区
      • 中国
      • 日本
      • 印度
      • 其他亚太地区
    • 拉丁美洲
    • 中东和非洲

第七章 竞争格局

  • 公司简介
    • 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.

第八章投资分析

第九章:未来机会

简介目录
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