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市场调查报告书
商品编码
1866384

全球电子商务分析市场－2025-2030年预测

Global E-commerce Analytics Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 147 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

全球电子商务分析市场预计将从 2025 年的 292.75 亿美元成长到 2030 年的 605.92 亿美元，复合年增长率达到 15.66%。

电子商务分析是对线上零售平台产生的大量资料集进行系统分析和解读，从而为企业在客户行为、库存管理和营运效率方面做出明智的决策提供支援。全球可支配收入的成长推动了消费者对便利的网路购物的偏好，导致订单、物流和库存追踪等数据量呈指数级增长。这种数据洪流推动了对先进分析工具的需求，以优化供应链、个人化体验并增加收入来源。在电子商务的扩张以及人工智慧和机器学习等技术的整合推动下，市场预计将保持强劲成长，但资料隐私法规等挑战可能会在某些地区阻碍其应用。

市场驱动因素

拓展电子商务通路

电子商务通路的持续成长是主要驱动力，它产生了复杂的数据集，需要藉助高级分析技术才能从中提取可执行的洞察。数位化和消费者对快速灵活配送日益增长的期望正在推动货运量的成长，促使零售商利用分析技术进行动态路线优化和人工智慧驱动的预测。行动装置的普及以及精通技术的消费者进一步加速了这一趋势，实现了即时个人化和预测性库存管理。企业正越来越多地采用客户资料平台 (CDP) 来利用这些洞察，从而在物流和客户维繫创造机会。分析技术不仅能辨识新兴趋势，还能帮助企业掌握市场变化，增强其在电子商务领域的竞争优势。

定价分析的进展

定价分析已成为一个高成长领域，它利用自动化工具汇总竞争对手数据，并从中提取策略性定价洞察。在价格敏感型市场中，即使是微小的调整也可能对销售和客户流失率产生深远影响。这些解决方案分析客户行为并调整动态定价，以确保竞争优势，同时挖掘提升销售。 Prisync、Competera 和 Pricestack 等领先供应商在该领域处于领先地位，它们提供的 AI 驱动平台整合了行为数据，以优化收入管理。该领域的重要性在于其能够平衡盈利和市场应对力，尤其是在瞬息万变的零售环境中。

中国需求激增

中国电子商务分析市场正经历爆炸性成长，并逐渐发展成为一个规模庞大、价值数兆美元的产业。线上销售额的快速成长和超过70%的网路普及率正在产生大量数据，因此需要先进的分析技术来获取深入的洞察。 5G技术的全国性部署进一步加速了这一发展势头，透过边缘运算实现了无缝、高速的数据处理和即时分析。拥有数亿5G用户的中国移动等主要通讯业者为这一基础设施提供了支持，从而构建了一个响应迅速、运行流畅的电子商务生态系统。政府主导的数位化措施进一步加速了这一趋势的普及，使中国成为全球分析主导零售创新的领导者。

市场限制

资料整合的复杂性以及类似于亚洲 GDPR 的严格隐私法律可能会限制扩充性，而人工智慧增强工具的高成本可能会对中小型零售商构成准入门槛，从而限制市场渗透率。

市场区隔分析

从应用领域来看，客户分析在个人化方面主导，其次是定价和供应链优化。由于扩充性，云端基础部署占据主导地位，大型企业因其资源彙整密集型需求而占据最大份额。最终用户涵盖零售、银行、金融和保险（BFSI，用于诈欺检测）以及医疗保健（用于供应链物流）等行业。从地理来看，北美凭藉着成熟的平台保持领先地位，而以中国主导的亚太地区在数位化的背景下，实现了最高的复合年增长率。

竞争格局

IQLECT 和 Shiprocket 等行业领导者正透过收购和新产品推出（例如中小企业的整合式机器学习解决方案）推动创新。其重点领域之一是开发兼具分析和物流功能且价格合理、扩充性的工具。

受通路扩张、定价创新以及中国5G快速发展推动，电子商务分析市场预计将呈指数级增长。随着资料量激增，分析对于建立竞争优势至关重要，而监管挑战则要求企业采取适应性策略。为了充分发挥这一潜力，企业应优先考虑人工智慧的整合。

本报告的主要优势：

  • 深入分析：取得以客户群、政府政策和社会经济因素、消费者偏好、垂直产业和其他细分市场为重点的深入市场洞察，涵盖主要地区和新兴地区。
  • 竞争格局：了解主要企业采取的策略倡议，并了解透过正确的策略打入市场的潜力。
  • 市场驱动因素与未来趋势：探索动态因素和关键市场趋势，以及它们将如何塑造未来的市场发展。
  • 可执行的建议：利用洞察力为策略决策提供讯息，从而在动态环境中开拓新的业务管道和收入来源。
  • 受众范围广：对新兴企业、研究机构、顾问公司、中小企业和大型企业都有益处且经济高效。

它是用来做什么的？

产业与市场洞察、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范及其影响、新产品开发、竞争影响

分析范围

  • 历史资料（2022-2024 年）和预测资料（2025-2030 年）
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争对手定位、策略和市场占有率分析
  • 按业务板块和地区（国家）分類的收入成长和预测分析
  • 公司概况（策略、产品、财务资讯、关键趋势等）

目录

第一章执行摘要

第二章市场概述

  • 市场概览
  • 市场定义
  • 分析范围
  • 市场区隔

第三章 商业情境

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策和法规
  • 策略建议

第四章 技术展望

5. 全球电子商务分析市场（按组件划分）

  • 介绍
  • 硬体
  • 软体
  • 服务

6. 全球电子商务分析市场（按类型划分）

  • 介绍
  • 说明分析
  • 预测分析
  • 情绪分析
  • 其他的

7. 全球电子商务分析市场（按应用划分）

  • 介绍
  • 定价
  • 库存管理
  • 客户管理
  • 其他的

8. 全球电子商务分析市场（按地区划分）

  • 介绍
  • 北美洲
    • 按组件
    • 按类型
    • 透过使用
    • 按国家/地区
      • 美国
      • 加拿大
      • 墨西哥
  • 南美洲
    • 按组件
    • 按类型
    • 透过使用
    • 按国家/地区
      • 巴西
      • 阿根廷
      • 其他的
  • 欧洲
    • 按组件
    • 按类型
    • 透过使用
    • 按国家/地区
      • 德国
      • 法国
      • 英国
      • 义大利
      • 西班牙
      • 其他的
  • 中东和非洲
    • 按组件
    • 按类型
    • 透过使用
    • 按国家/地区
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 以色列
      • 其他的
  • 亚太地区
    • 按组件
    • 按类型
    • 透过使用
    • 按国家/地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 印尼
      • 泰国
      • 台湾
      • 其他的

第九章 竞争格局与分析

  • 主要企业和策略分析
  • 市占率分析
  • 企业合併、协议、商业合作
  • 竞争对手仪錶板

第十章：公司简介

  • Adobe Inc.
  • Microsoft Corporation
  • Woopra Inc.
  • Optimizely Inc.
  • Alphabet Inc
  • SavvyCube
  • DataWeave
  • Sisense Inc.
  • Happiest Minds
  • Salesforce Inc.

第十一章附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要收益
  • 分析方法
  • 简称
简介目录
Product Code: KSI061614723

The Global E-commerce Analytics Market will expand from USD 29.275 billion in 2025 to USD 60.592 billion by 2030, achieving a 15.66% CAGR.

E-commerce analytics involves the systematic analysis and interpretation of vast datasets generated by online retail platforms, enabling informed decision-making on customer behavior, inventory management, and operational efficiency. As global disposable incomes rise, consumer preference for convenient online shopping surges, producing exponential data volumes from orders, logistics, and inventory tracking. This data deluge drives demand for advanced analytics tools to optimize supply chains, personalize experiences, and enhance revenue streams. The market is poised for robust growth, fueled by e-commerce expansion and technological integrations like AI and machine learning, though challenges such as data privacy regulations may temper adoption in some regions.

Market Drivers

Proliferation of E-Commerce Channels

The relentless growth of e-commerce channels is a cornerstone driver, generating complex datasets that necessitate sophisticated analytics for actionable insights. Digitization and evolving customer expectations for rapid, flexible deliveries have amplified delivery volumes, prompting retailers to leverage analytics for dynamic route optimization and AI-driven forecasting. Tech-savvy consumers, empowered by ubiquitous mobile devices, further accelerate this trend, enabling real-time personalization and predictive stocking. Companies are increasingly acquiring customer data platforms (CDPs) to harness these insights, fostering opportunities in logistics and customer retention. Analytics not only identifies emerging trends but also preempts market shifts, solidifying e-commerce's competitive edge.

Advancements in Pricing Analytics

Pricing analytics emerges as a high-growth segment, utilizing automated tools to aggregate competitor data and derive strategic pricing insights. For price-sensitive markets, even marginal adjustments can profoundly impact sales and churn rates. These solutions analyze customer behavior to calibrate dynamic pricing, ensuring competitiveness while uncovering upselling opportunities. Leading providers like Prisync, Competera, and Pricestack dominate this space, offering AI-powered platforms that integrate behavioral data for optimized revenue management. The segment's significance lies in its ability to balance profitability with market responsiveness, particularly in volatile retail environments.

Surging Demand in China

China's e-commerce analytics market is experiencing explosive growth, propelled by the sector's maturation into a multi-trillion-dollar powerhouse. Booming online sales, coupled with internet penetration exceeding 70%, generate immense data troves requiring advanced analytics for granular insights. The nationwide rollout of 5G technology enhances this momentum, enabling seamless high-speed data processing and edge computing for real-time analytics. Major operators like China Mobile, with hundreds of millions of 5G subscribers, underpin this infrastructure, facilitating ultra-responsive e-commerce ecosystems. Government-backed digital initiatives further catalyze adoption, positioning China as a global leader in analytics-driven retail innovation.

Market Restraints

Data integration complexities and stringent privacy laws, such as GDPR equivalents in Asia, may constrain scalability. Additionally, the high costs of AI-enhanced tools could sideline smaller retailers, limiting market penetration.

Market Segment Analysis

By application, customer analytics leads for personalization, followed by pricing and supply chain optimization. Cloud-based deployments dominate for scalability, with large enterprises holding the largest share due to resource-intensive needs. End-users span retail, BFSI for fraud detection, and healthcare for supply logistics. Geographically, North America maintains dominance through mature platforms, while Asia-Pacific, led by China, registers the fastest CAGR amid digital acceleration.

Competitive Landscape

Key players like IQLECT and Shiprocket innovate through acquisitions and launches, such as integrated ML solutions for SMEs. Focus areas include affordable, scalable tools blending analytics with logistics.

The e-commerce analytics market is primed for exponential growth, driven by channel expansion, pricing innovations, and China's 5G-fueled surge. As data volumes escalate, analytics will be pivotal for competitive differentiation, though regulatory hurdles demand adaptive strategies. Enterprises must prioritize AI integration to harness this potential fully.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2022 to 2024 & forecast data from 2025 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

The E-Commerce Analytics Market is analyzed into the following segments:

By Component

  • Hardware
  • Software
  • Services

By Type

  • Descriptive Analytics
  • Predictive Analytics
  • Sentiment Analytics
  • Others

By Application

  • Pricing
  • Inventory Management
  • Customer Management
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Thailand
  • Taiwan
  • Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study
  • 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. E-COMMERCE ANALYTICS MARKET BY COMPONENT

  • 5.1. Introduction
  • 5.2. Hardware
  • 5.3. Software
  • 5.4. Services

6. E-COMMERCE ANALYTICS MARKET BY TYPE

  • 6.1. Introduction
  • 6.2. Descriptive Analytics
  • 6.3. Predictive Analytics
  • 6.4. Sentiment Analytics
  • 6.5. Others

7. E-COMMERCE ANALYTICS MARKET BY APPLICATION

  • 7.1. Introduction
  • 7.2. Pricing
  • 7.3. Inventory Management
  • 7.4. Customer Management
  • 7.5. Others

8. E-COMMERCE ANALYTICS MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Component
    • 8.2.2. By Type
    • 8.2.3. By Application
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Component
    • 8.3.2. By Type
    • 8.3.3. By Application
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Component
    • 8.4.2. By Type
    • 8.4.3. By Application
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. United Kingdom
      • 8.4.4.4. Italy
      • 8.4.4.5. Spain
      • 8.4.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Component
    • 8.5.2. By Type
    • 8.5.3. By Application
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Israel
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Component
    • 8.6.2. By Type
    • 8.6.3. By Application
    • 8.6.4. By Country
      • 8.6.4.1. China
      • 8.6.4.2. India
      • 8.6.4.3. Japan
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Thailand
      • 8.6.4.7. Taiwan
      • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Adobe Inc.
  • 10.2. Microsoft Corporation
  • 10.3. Woopra Inc.
  • 10.4. Optimizely Inc.
  • 10.5. Alphabet Inc
  • 10.6. SavvyCube
  • 10.7. DataWeave
  • 10.8. Sisense Inc.
  • 10.9. Happiest Minds
  • 10.10. Salesforce Inc.

11. APPENDIX

  • 11.1. Currency
  • 11.2. Assumptions
  • 11.3. Base and Forecast Years Timeline
  • 11.4. Key benefits for the stakeholders
  • 11.5. Research Methodology
  • 11.6. Abbreviations