查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1454064

資料分析市場至2030年的預測：按類型、部署、公司規模、解決方案、應用程式、最終用戶和地區的全球分析

Data Analytics Market Forecasts to 2030 - Global Analysis By Type, Deployment, Enterprise Size, Solution, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的資料，2023年全球資料分析市場規模將達到 631 億美元，預計到2030年將達到 3,690 億美元，預測期內年複合成長率為 28.7%。

資料分析是檢查原始資料並就該資料中包含的資訊得出結論的過程。資料分析包括以有意義的方式分析、解釋和呈現資料的各種技術和工具，其最終目標是獲得見解、做出明智的決策，資料是發現其中的模式和趨勢。資料分析可應用於各種領域，包括商業、科學、醫療保健和金融，以發現推動最佳化、創新和效率的隱藏模式、相關性和關係。

根據最近的一項研究，全球有超過 5 億人每天使用 Instagram。此外，180 多個國家/地區的超過20 億人使用 WhatsApp 聊天以及發送圖像和影片。

對商業智慧的需求不斷成長

隨著公司努力利用資料進行策略決策，對綜合分析工具的需求不斷增加。商業智慧平台提供對市場趨勢、客戶行為和業務效率的競爭考察，以推動競爭優勢。隨著對資料主導策略的日益依賴，對強大的分析解決方案的需求持續成長，刺激了市場內的創新和擴張。

資料整合挑戰

資料來源、格式和結構的多樣性造成了這些障礙。無縫整合需要不同系統和平台之間的強大相容性。此外，資料的數量、速度和種類也增加了資料整合的複雜性。應對這些挑戰需要先進的技術，例如整合人工智慧驅動的解決方案和擴充性的架構。高效的資料整合對於從市場上的不同資料集提取見解並釋放價值非常重要。

對個人化體驗的需求不斷成長

公司尋找符合其特定目標和挑戰的客製化解決方案。這項需求是由資料集日益複雜以及對直接影響決策的可操作見解的渴望所推動的。隨著公司尋求能夠提供可自訂工具、演算法和報告結構來滿足其獨特需求的分析提供商，資料分析領域對個人化產品的需求迅速成長。

實施成本高

市場面臨一個重大挑戰：實施成本高。希望實施分析解決方案的公司面臨著與獲取專用硬體、軟體許可證和僱用熟練專業人員相關的巨大成本。此外，還存在與維護、更新和資料管理相關的持續成本。這些財務障礙通常會阻礙小型企業充分利用資料分析的潛力，這限制了它們在日益資料主導的趨勢中有效競爭的能力。

COVID-19 的影響：

COVID-19 的疫情對資料分析市場產生了重大影響。隨著企業尋求即時洞察以克服不確定性，對分析解決方案的需求激增。醫療保健、金融和電子商務等行業都嚴重依賴資料分析來調整策略。遠距工作的活性化加速了雲端基礎的分析平台的採用。然而，預算限制和業務中斷減緩了市場成長，特別是在非必需產業。儘管面臨挑戰，疫情凸顯了資料主導決策的重要性，並促進了資料分析市場的長期成長前景。

預測分析產業預計將在預測期內成為最大的產業

預測分析領域預計將在預測期內成長達到頂峰。預測分析在資料分析的動態格局中發揮著非常重要的作用。透過利用先進的演算法和統計技術，企業可以預測未來的趨勢、行動和結果。這使企業能夠做出資料主導的決策、最佳化業務、降低風險並利用機會。從大量資料集獲取可行見解的能力將繼續重塑各個領域的產業，並推動成長和效率。

資料監測領域預計在預測期內年複合成長率最高

資料監測產業預計在預測期內年複合成長率最高。資料監控包括即時監控、異常檢測和效能分析，以識別與預期模式和趨勢的偏差。這種主動方法使企業能夠維護資料完整性，儘早發現潛在問題和錯誤，並做出明智的決策。隨著資料量和複雜性的增加，強大的資料監控解決方案對於企業最佳化資料分析流程並有效獲得有價值的見解非常重要。

佔有率最大的地區

由於各行業對資料主導洞察的需求不斷成長，預計北美將在預測期內佔據最大的市場佔有率。隨著人們對數位轉型的關注迅速增加以及巨量資料的激增，企業擴大投資於高級分析解決方案，以獲取可操作的情報。隨著公司意識到利用資料獲得競爭優勢的策略重要性，這一趨勢必將加速。

年複合成長率最高的地區：

由於各行業數位化的提高和先進技術的採用，預計亞太地區在預測期內將保持最高的年複合成長率。隨著每天產生的資料量激增，企業越來越依賴分析解決方案來獲得可行的見解並獲得競爭優勢。各大公司都在研發方面投入巨資，並致力於人工智慧和機器學習演算法等創新。這種充滿活力的格局為該地區的老牌企業和新興企業企業提供了雙贏的機會。

免費客製化服務

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多3家公司）
    • 主要企業SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 先決條件

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球資料分析市場：依類型

  • 規定性分析
  • 預測分析
  • 說明分析
  • 客戶分析
  • 商業分析
  • 風險分析
  • 其他類型

第6章 全球資料分析市場：依發展分類

  • 雲端
  • 本地

第7章 全球資料分析市場：依公司規模分類

  • 中小企業（SME）
  • 主要企業

第8章 全球資料分析市場：依解決方案

  • 詐欺和安全情報
  • 資料管理
  • 資料監控
  • 資料探勘

第9章 全球資料分析市場：依應用分類

  • 供應鏈管理
  • 資料庫管理
  • 企業資源規劃
  • 人力資源管理
  • 其他用途

第10章 全球資料分析市場：依最終使用者分類

  • 政府
  • 衛生保健
  • 電信與資訊技術
  • 軍事和國防
  • 其他最終用戶

第11章 全球資料分析市場：依地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第12章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司簡介

  • Amazon Web Services Inc.
  • SiSense Inc
  • SAP SE
  • Microsoft
  • Datameer Inc.
  • IBM Corporation
  • Zoho Corporation Pvt. Ltd.
  • ThoughtSpot Inc.
  • Tableau Software LLC.
  • Oracle
  • Agilent Technologies Inc.
  • Thermo Fisher Scientific Inc.
  • Illumina Inc.
  • Perkin Elmer Inc.
  • SAS Institute Inc.
  • Datameer, Inc.
  • Looker Data Sciences, Inc.
  • Orbital Insight
Product Code: SMRC25616

According to Stratistics MRC, the Global Data Analytics Market is accounted for $63.1 billion in 2023 and is expected to reach $369.0 billion by 2030 growing at a CAGR of 28.7% during the forecast period. Data analytics is the process of examining raw data to draw conclusions about the information it contains. It involves various techniques and tools to analyze, interpret, and present data in a meaningful way, with the ultimate goal of gaining insights, making informed decisions, and discovering patterns or trends within the data. Data analytics can be applied across various domains, including business, science, healthcare, finance, and many others, to uncover hidden patterns, correlations, and relationships that can drive optimization, innovation, and efficiency.

According to a recent study, over 500 million people worldwide use Instagram on a daily basis. Furthermore, WhatsApp is used by over 2 billion people in over 180 countries to chat and send images and videos.

Market Dynamics:

Driver:

Growing demand for business intelligence

As organizations strive to leverage data for strategic decision-making, the need for comprehensive analytics tools has intensified. Business intelligence platforms offer insights into market trends, customer behaviour, and operational efficiency, driving competitive advantage. With businesses increasingly relying on data-driven strategies, the demand for robust analytics solutions continues to grow, fueling innovation and expansion within the market.

Restraint:

Data integration challenges

These hurdles arise due to the diversity of data sources, formats, and structures. Ensuring seamless integration demands robust compatibility across disparate systems and platforms. Moreover, the volume, velocity, and variety of data exacerbate complexities in data consolidation. Addressing these challenges necessitates advanced technologies like AI-driven integration solutions and scalable architectures. Efficient data integration is pivotal for unlocking insights and deriving value from diverse datasets in the market.

Opportunity:

Growing need for personalized experiences

Businesses are seeking tailored solutions that align with their specific objectives and challenges. This demand is being driven by the increasing complexity of data sets and the desire for actionable insights that directly impact decision-making. Companies are turning to analytics providers that can offer customizable tools, algorithms, and reporting structures to address their unique requirements, leading to a surge in demand for personalized offerings within the data analytics landscape.

Threat:

High cost of implementation

The market faces a significant challenge due to the high cost of implementation. Companies aiming to adopt analytics solutions encounter substantial expenses associated with acquiring specialized hardware, software licenses, and hiring skilled professionals. Additionally, there are ongoing costs related to maintenance, updates, and data management. These financial barriers often hinder smaller businesses from fully leveraging the potential of data analytics, limiting their ability to compete effectively in an increasingly data-driven landscape.

Covid-19 Impact:

The COVID-19 pandemic significantly impacted the data analytics market. With organizations seeking real-time insights to navigate uncertainties, demand surged for analytics solutions. Sectors like healthcare, finance, and e-commerce relied heavily on data analytics to adapt strategies. Remote work dynamics accelerated the adoption of cloud-based analytics platforms. However, budget constraints and operational disruptions slowed market growth, especially in non-essential sectors. Despite challenges, the pandemic underscored the importance of data-driven decision-making, fostering long-term growth prospects for the data analytics market.

The predictive analytics segment is expected to be the largest during the forecast period

The predictive analytics segment is expected to be the largest during the forecast period. Predictive analytics plays a pivotal role in the dynamic landscape of data analytics. By leveraging advanced algorithms and statistical techniques, it enables businesses to forecast future trends, behaviours, and outcomes. This empowers organizations to make data-driven decisions, optimize operations, mitigate risks, and capitalize on opportunities. Its ability to derive actionable insights from vast datasets continues to reshape industries across various sectors, fostering growth and efficiency.

The data monitoring segment is expected to have the highest CAGR during the forecast period

The data monitoring segment is expected to have the highest CAGR during the forecast period. It encompasses real-time monitoring, anomaly detection, and performance analysis to identify deviations from expected patterns or trends. This proactive approach helps organizations maintain data integrity, detect potential issues or errors early, and make informed decisions. With the increasing volume and complexity of data, robust data monitoring solutions are crucial for businesses to optimize their data analytics processes and derive valuable insights efficiently.

Region with largest share:

North America is projected to hold the largest market share during the forecast period driven by increasing demand for data-driven insights across various industries. With a burgeoning focus on digital transformation and the proliferation of big data, companies are increasingly investing in advanced analytics solutions to derive actionable intelligence. This trend is poised to further accelerate as organizations recognize the strategic importance of leveraging data for competitive advantage.

Region with highest CAGR:

Asia Pacific is projected to hold the highest CAGR over the forecast period driven by increasing digitalization and adoption of advanced technologies across various industries. With a burgeoning volume of data generated daily, organizations are increasingly relying on analytics solutions to derive actionable insights and gain competitive advantages. Key players are investing heavily in research and development, focusing on innovations such as artificial intelligence and machine learning algorithms. This dynamic landscape presents lucrative opportunities for both established companies and emerging startups in the region.

Key players in the market

Some of the key players in Data Analytics market include Amazon Web Services Inc., SiSense Inc, SAP SE, Microsoft, Datameer Inc., IBM Corporation, Zoho Corporation Pvt. Ltd. , ThoughtSpot Inc., Tableau Software LLC., Oracle , Agilent Technologies Inc., Thermo Fisher Scientific Inc., Illumina Inc., Perkin Elmer Inc., SAS Institute Inc., Datameer, Inc. , Looker Data Sciences, Inc. and Orbital Insight.

Key Developments:

In March 2023, Orbital Insight, a geospatial intelligence specialist, announced a partnership with Carahsoft Technology Corp. to provide AI-powered geospatial data analytics. The partnership will enable Carahsoft to serve as a master government aggregator, making the company's AI-powered geospatial data analytics easily available to the public sector.

In March 2023, Google announced new analytics user access management changes in Google Ads and introduced a new cross-product access management model.

Types Covered:

  • Prescriptive Analytics
  • Predictive Analytics
  • Descriptive Analytics
  • Customer Analytics
  • Business Analytics
  • Risk Analytics
  • Other Types

Deployments Covered:

  • Cloud
  • On-Premise

Enterprise Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Solutions Covered:

  • Fraud & Security Intelligence
  • Data Management
  • Data Monitoring
  • Data Mining

Applications Covered:

  • Supply Chain Management
  • Database Management
  • Enterprise Resource Planning
  • Human Resource Management
  • Other Applications

End Users Covered:

  • Government
  • Healthcare
  • Telecom & IT
  • Military & Defense
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Analytics Market, By Type

  • 5.1 Introduction
  • 5.2 Prescriptive Analytics
  • 5.3 Predictive Analytics
  • 5.4 Descriptive Analytics
  • 5.5 Customer Analytics
  • 5.6 Business Analytics
  • 5.7 Risk Analytics
  • 5.8 Other Types

6 Global Data Analytics Market, By Deployment

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-Premise

7 Global Data Analytics Market, By Enterprise Size

  • 7.1 Introduction
  • 7.2 Small & Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Data Analytics Market, By Solution

  • 8.1 Introduction
  • 8.2 Fraud & Security Intelligence
  • 8.3 Data Management
  • 8.4 Data Monitoring
  • 8.5 Data Mining

9 Global Data Analytics Market, By Application

  • 9.1 Introduction
  • 9.2 Supply Chain Management
  • 9.3 Database Management
  • 9.4 Enterprise Resource Planning
  • 9.5 Human Resource Management
  • 9.6 Other Applications

10 Global Data Analytics Market, By End User

  • 10.1 Introduction
  • 10.2 Government
  • 10.3 Healthcare
  • 10.4 Telecom & IT
  • 10.5 Military & Defense
  • 10.6 Other End Users

11 Global Data Analytics Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Amazon Web Services Inc.
  • 13.2 SiSense Inc
  • 13.3 SAP SE
  • 13.4 Microsoft
  • 13.5 Datameer Inc.
  • 13.6 IBM Corporation
  • 13.7 Zoho Corporation Pvt. Ltd.
  • 13.8 ThoughtSpot Inc.
  • 13.9 Tableau Software LLC.
  • 13.10 Oracle
  • 13.11 Agilent Technologies Inc.
  • 13.12 Thermo Fisher Scientific Inc.
  • 13.13 Illumina Inc.
  • 13.14 Perkin Elmer Inc.
  • 13.15 SAS Institute Inc.
  • 13.16 Datameer, Inc.
  • 13.17 Looker Data Sciences, Inc.
  • 13.18 Orbital Insight

List of Tables

  • Table 1 Global Data Analytics Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Data Analytics Market Outlook, By Type (2021-2030) ($MN)
  • Table 3 Global Data Analytics Market Outlook, By Prescriptive Analytics (2021-2030) ($MN)
  • Table 4 Global Data Analytics Market Outlook, By Predictive Analytics (2021-2030) ($MN)
  • Table 5 Global Data Analytics Market Outlook, By Descriptive Analytics (2021-2030) ($MN)
  • Table 6 Global Data Analytics Market Outlook, By Customer Analytics (2021-2030) ($MN)
  • Table 7 Global Data Analytics Market Outlook, By Business Analytics (2021-2030) ($MN)
  • Table 8 Global Data Analytics Market Outlook, By Risk Analytics (2021-2030) ($MN)
  • Table 9 Global Data Analytics Market Outlook, By Other Types (2021-2030) ($MN)
  • Table 10 Global Data Analytics Market Outlook, By Deployment (2021-2030) ($MN)
  • Table 11 Global Data Analytics Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 12 Global Data Analytics Market Outlook, By On-Premise (2021-2030) ($MN)
  • Table 13 Global Data Analytics Market Outlook, By Enterprise Size (2021-2030) ($MN)
  • Table 14 Global Data Analytics Market Outlook, By Small & Medium Enterprises (SMEs) (2021-2030) ($MN)
  • Table 15 Global Data Analytics Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 16 Global Data Analytics Market Outlook, By Solution (2021-2030) ($MN)
  • Table 17 Global Data Analytics Market Outlook, By Fraud & Security Intelligence (2021-2030) ($MN)
  • Table 18 Global Data Analytics Market Outlook, By Data Management (2021-2030) ($MN)
  • Table 19 Global Data Analytics Market Outlook, By Data Monitoring (2021-2030) ($MN)
  • Table 20 Global Data Analytics Market Outlook, By Data Mining (2021-2030) ($MN)
  • Table 21 Global Data Analytics Market Outlook, By Application (2021-2030) ($MN)
  • Table 22 Global Data Analytics Market Outlook, By Supply Chain Management (2021-2030) ($MN)
  • Table 23 Global Data Analytics Market Outlook, By Database Management (2021-2030) ($MN)
  • Table 24 Global Data Analytics Market Outlook, By Enterprise Resource Planning (2021-2030) ($MN)
  • Table 25 Global Data Analytics Market Outlook, By Human Resource Management (2021-2030) ($MN)
  • Table 26 Global Data Analytics Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 27 Global Data Analytics Market Outlook, By End User (2021-2030) ($MN)
  • Table 28 Global Data Analytics Market Outlook, By Government (2021-2030) ($MN)
  • Table 29 Global Data Analytics Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 30 Global Data Analytics Market Outlook, By Telecom & IT (2021-2030) ($MN)
  • Table 31 Global Data Analytics Market Outlook, By Military & Defense (2021-2030) ($MN)
  • Table 32 Global Data Analytics Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.