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巨量資料

市場調查報告書

商品編碼

1544634

巨量資料和商業分析市場、機會、成長動力、產業趨勢分析和預測，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個工作天內

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簡介目錄

由於各行業組織產生的資料量和複雜性不斷增加，巨量資料和商業分析市場規模預計在 2024 年至 2032 年間實現 15% 的複合年成長率。雲端運算和人工智慧技術的不斷採用提供了適應性強的解決方案，支援即時和預測性資料分析。根據雲端安全聯盟 2024 年的報告，全球近 98% 的公司正在使用雲端服務。

企業正在利用資料分析來更好地理解客戶行為、偏好和新興趨勢。這種洞察力使公司能夠客製化他們的產品，提高客戶滿意度並培養忠誠度。此外，隨著監管要求強調資料隱私和安全，組織正在轉向進階分析解決方案。這些不僅確保合規性，還最佳化從資料資產中提取的價值。

整個產業分為組件、部署模式、組織規模、應用程式、最終用戶和區域。

根據組成部分，由於整個資料生命週期中對專業知識和支援的需求不斷增加，預計到 2032 年，服務領域的巨量資料和業務分析市場價值將出現成長。組織需要一系列服務，包括諮詢、實施和託管服務，以有效利用巨量資料技術和分析工具，從而促進細分市場的成長。

預計到 2032 年，客戶分析領域的巨量資料和業務分析市場將取得顯著成長，因為重點關注使企業能夠深入了解客戶行為、偏好和互動。透過分析大量客戶資料，公司可以識別趨勢、預測未來行為並個人化其產品，以增強客戶體驗並提高忠誠度。

到 2032 年，亞太地區巨量資料和商業分析產業規模將大幅成長。隨著區域企業採用尖端技術和數位解決方案，對強大的巨量資料和分析能力的需求不斷加劇。

產業生態系統分析
供應商格局
- 雲端服務供應商
- 平台整合商
- 元件供應商
- 商業智慧工具提供者
- 終端用戶
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 透過各種來源增加資料生成
  - 資料處理工具的改進
  - 越來越多採用巨量資料分析來改善各行業的決策
  - 監管要求推動組織實施強大的資料分析框架
- 產業陷阱與挑戰
  - 缺乏熟練的專業人員
  - 確保大量敏感資料的隱私和安全
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分 2021 - 2032 年

主要趨勢
硬體
軟體
- 資料儲存和管理
- 數據整合和ETL
- 數據處理與分析
- 其他
服務
- 專業服務
- 託管服務

第 6 章：市場估計與預測：按部署模型，2021 - 2032 年

主要趨勢
本地
雲

第 7 章：市場估計與預測：按組織規模，2021 - 2032 年

主要趨勢
中小企業
大型企業

第 8 章：市場估計與預測：按應用分類，2021 - 2032

主要趨勢
客戶分析
定價分析
空間分析
供應鏈分析
勞動力分析
風險和信用分析
交通分析
其他

第 9 章：市場估計與預測：按最終用戶分類，2021 - 2032 年

BFSI
衛生保健
零售
資訊科技和電信
政府和公共部門
製造業
媒體和娛樂
能源和公用事業
交通物流
教育
其他

第 10 章：市場估計與預測：按地區分類，2021 - 2032 年

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
- 亞太地區其他地區
南美洲
- 巴西
- 阿根廷
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 11 章：公司簡介

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.

簡介目錄

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