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巨量资料

市场调查报告书

商品编码

1544634

大数据和商业分析市场、机会、成长动力、产业趋势分析和预测，2024-2032

Big Data and Business Analytics Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: 2024年07月09日 | 出版商:

Global Market Insights Inc. | 英文 270 Pages | 商品交期: 2-3个工作天内

价格

简介目录

由于各行业组织产生的资料量和复杂性不断增加，巨量资料和商业分析市场规模预计在 2024 年至 2032 年间实现 15% 的复合年增长率。云端运算和人工智慧技术的不断采用提供了适应性强的解决方案，支援即时和预测性资料分析。根据云端安全联盟 2024 年的报告，全球近 98% 的公司正在使用云端服务。

企业正在利用资料分析来更好地理解客户行为、偏好和新兴趋势。这种洞察力使公司能够客製化他们的产品，提高客户满意度并培养忠诚度。此外，随着监管要求强调资料隐私和安全，组织正在转向进阶分析解决方案。这些不仅确保合规性，还优化从资料资产中提取的价值。

整个产业分为组件、部署模式、组织规模、应用程式、最终用户和区域。

根据组成部分，由于整个资料生命週期中对专业知识和支援的需求不断增加，预计到 2032 年，服务领域的巨量资料和业务分析市场价值将出现成长。组织需要一系列服务，包括咨询、实施和託管服务，以有效利用巨量资料技术和分析工具，从而促进细分市场的成长。

预计到 2032 年，客户分析领域的巨量资料和业务分析市场将取得显着成长，因为重点关注使企业能够深入了解客户行为、偏好和互动。透过分析大量客户资料，公司可以识别趋势、预测未来行为并个人化其产品，以增强客户体验并提高忠诚度。

到 2032 年，亚太地区巨量资料和商业分析产业规模将大幅成长。随着区域企业采用尖端技术和数位解决方案，对强大的巨量资料和分析能力的需求不断加剧。

产业生态系统分析
供应商格局
- 云端服务供应商
- 平台整合商
- 元件供应商
- 商业智慧工具提供者
- 终端用户
利润率分析
技术与创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 透过各种来源增加资料生成
  - 资料处理工具的改进
  - 越来越多采用巨量资料分析来改善各行业的决策
  - 监管要求推动组织实施强大的资料分析框架
- 产业陷阱与挑战
  - 缺乏熟练的专业人员
  - 确保大量敏感资料的隐私和安全
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

介绍
公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按组成部分 2021 - 2032 年

主要趋势
硬体
软体
- 资料储存和管理
- 数据整合和ETL
- 数据处理与分析
- 其他的
服务
- 专业服务
- 託管服务

第 6 章：市场估计与预测：按部署模型，2021 - 2032 年

主要趋势
本地
云

第 7 章：市场估计与预测：按组织规模，2021 - 2032 年

主要趋势
中小企业
大型企业

第 8 章：市场估计与预测：按应用分类，2021 - 2032

主要趋势
客户分析
定价分析
空间分析
供应链分析
劳动力分析
风险和信用分析
交通分析
其他的

第 9 章：市场估计与预测：按最终用户分类，2021 - 2032 年

BFSI
卫生保健
零售
资讯科技和电信
政府和公共部门
製造业
媒体和娱乐
能源和公用事业
交通物流
教育
其他的

第 10 章：市场估计与预测：按地区划分，2021 - 2032 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 俄罗斯
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 东南亚
- 亚太地区其他地区
南美洲
- 巴西
- 阿根廷
- 拉丁美洲其他地区
MEA
- 阿联酋
- 南非
- 沙乌地阿拉伯
- MEA 的其余部分

第 11 章：公司简介

Alteryx, Inc.
Amazon Web Services, Inc.
Cloudera, Inc.
Dell Technologies
FICO
Google LLC
Hewlett Packard Enterprise (HPE)
Hitachi Vantara
IBM Corporation
Microsoft Corporation
MicroStrategy
Oracle Corporation
Palantir Technologies
QlikTech International AB
SAP SE
SAS Institute Inc.
Splunk Inc.
Tableau Software, LLC (a Salesforce company)
Teradata Corporation
TIBCO Software Inc.

简介目录

Product Code: 10169

Big data and business analytics market size is poised to witness a 15% CAGR between 2024 and 2032 fueled by the rising volume and intricacy of data produced by organizations across diverse sectors. The escalating adoption of cloud computing and AI technologies offers adaptable solutions, enabling real-time and predictive data analysis. According to a 2024 report by the Cloud Security Alliance, nearly 98% of global companies are utilizing cloud services.

Businesses are harnessing data analytics to better comprehend customer behaviors, preferences, and emerging trends. This insight allows companies to customize their offerings, enhancing customer satisfaction and fostering loyalty. Moreover, with regulatory mandates emphasizing data privacy and security, organizations are turning to advanced analytics solutions. These not only ensure compliance but also optimize the value extracted from data assets.

The overall industry is divided into component, deployment mode, organization size, application, end user, and region.

Based on component, the big data and business analytics market value from the services segment is anticipated to witness growth through 2032 due to increasing demand for specialized expertise and support throughout the data lifecycle. Organizations require a range of services including consulting, implementation, and managed services to effectively leverage big data technologies and analytics tools, adding to the segment growth.

Big data and business analytics market from the customer analytics segment is predicted to record notable gains up to 2032 led by a strong focus on enabling businesses to gain deep insights into customer behaviors, preferences, and interactions. By analyzing vast amounts of customer data, companies can identify trends, predict future behavior, and personalize their offerings to enhance customer experiences and drive loyalty.

Asia Pacific big data and business analytics industry size will grow significantly through 2032. This is attributed to swift digital transformations across various sectors and an escalating appetite for data-centric decision-making. As regional businesses adopt cutting-edge technologies and digital solutions, the demand for strong big data and analytics capabilities has intensified.

Chapter 1 Methodology and Scope

1.1 Market scope and definitions
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Base estimates and calculations
- 1.3.1 Base year calculation
- 1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
- 1.5.1 Primary sources
- 1.5.2 Data mining sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Supplier landscape
- 3.2.1 Cloud service provider
- 3.2.2 Platform integrators
- 3.2.3 Component providers
- 3.2.4 Business intelligence tools provider
- 3.2.5 End-user
3.3 Profit margin analysis
3.4 Technology and innovation landscape
3.5 Patent analysis
3.6 Key news and initiatives
3.7 Regulatory landscape
3.8 Impact forces
- 3.8.1 Growth drivers
  - 3.8.1.1 Increasing data generation through various sources
  - 3.8.1.2 Improvements in data processing tools
  - 3.8.1.3 Growing adoption of big data analytics to improve decision-making across various industries
  - 3.8.1.4 Regulatory requirements drive organizations to implement robust data analytics frameworks
- 3.8.2 Industry pitfalls and challenges
  - 3.8.2.1 Shortage of skilled professionals
  - 3.8.2.2 Ensuring the privacy and security of vast amounts of sensitive data
3.9 Growth potential analysis
3.10 Porter's analysis
- 3.10.1 Supplier power
- 3.10.2 Buyer power
- 3.10.3 Threat of new entrants
- 3.10.4 Threat of substitutes
- 3.10.5 Industry rivalry
3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Component 2021 - 2032 ($Bn)

5.1 Key trends
5.2 Hardware
5.3 Software
- 5.3.1 Data storage and management
- 5.3.2 Data integration and ETL
- 5.3.3 Data processing and analytics
- 5.3.4 Others
5.4 Services
- 5.4.1 Professional services
- 5.4.2 Managed services

Chapter 6 Market Estimates and Forecast, By Deployment Model, 2021 - 2032 ($Bn)

6.1 Key trends
6.2 On-premises
6.3 Cloud

Chapter 7 Market Estimates and Forecast, By Organization Size, 2021 - 2032 ($Bn)

7.1 Key trends
7.2 SMEs
7.3 Large enterprises

Chapter 8 Market Estimates and Forecast, By Application, 2021 - 2032 ($Bn)

8.1 Key trends
8.2 Customer analytics
8.3 Pricing analytics
8.4 Spatial analytics
8.5 Supply chain analytics
8.6 Workforce analytics
8.7 Risk and credit analytics
8.8 Transportation analytics
8.9 Others

Chapter 9 Market Estimates and Forecast, By End-User, 2021 - 2032 ($Bn)

9.1 BFSI
9.2 Healthcare
9.3 Retail
9.4 IT and telecom
9.5 Government and public sector
9.6 Manufacturing
9.7 Media and entertainment
9.8 Energy and utilities
9.9 Transportation and logistics
9.10 Education
9.11 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn)

10.1 Key trends
10.2 North America
- 10.2.1 U.S.
- 10.2.2 Canada
10.3 Europe
- 10.3.1 UK
- 10.3.2 Germany
- 10.3.3 France
- 10.3.4 Italy
- 10.3.5 Spain
- 10.3.6 Russia
- 10.3.7 Rest of Europe
10.4 Asia Pacific
- 10.4.1 China
- 10.4.2 India
- 10.4.3 Japan
- 10.4.4 South Korea
- 10.4.5 ANZ
- 10.4.6 Southeast Asia
- 10.4.7 Rest of Asia Pacific
10.5 South America
- 10.5.1 Brazil
- 10.5.2 Argentina
- 10.5.3 Rest of Latin America
10.6 MEA
- 10.6.1 UAE
- 10.6.2 South Africa
- 10.6.3 Saudi Arabia
- 10.6.4 Rest of MEA