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市场调查报告书
商品编码
1454064

2030 年资料分析市场预测：按类型、部署、公司规模、解决方案、应用程式、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，2023 年全球资料分析市场规模将达到 631 亿美元，预计到 2030 年将达到 3,690 亿美元，预测期内复合年增长率为 28.7%。

资料分析是检查原始资料并就该资料中包含的资讯得出结论的过程。资料分析包括以有意义的方式分析、解释和呈现资料的各种技术和工具，其最终目标是获得见解、做出明智的决策，资料是发现其中的模式和趋势。资料分析可应用于各种领域，包括商业、科学、医疗保健和金融，以发现推动最佳化、创新和效率的隐藏模式、相关性和关係。

根据最近的一项研究，全球有超过 5 亿人每天使用 Instagram。此外，180 多个国家/地区的超过 20 亿人使用 WhatsApp 聊天以及发送图像和影片。

对商业智慧的需求不断增长

随着公司努力利用资料进行策略决策，对综合分析工具的需求不断增加。商业智慧平台提供对市场趋势、客户行为和业务效率的竞争考察，以推动竞争优势。随着对资料主导策略的日益依赖，对强大的分析解决方案的需求持续增长，刺激了市场内的创新和扩张。

资料整合挑战

资料来源、格式和结构的多样性造成了这些障碍。无缝整合需要不同系统和平台之间的强大相容性。此外，资料的数量、速度和种类也增加了资料整合的复杂性。应对这些挑战需要先进的技术，例如整合人工智慧驱动的解决方案和扩充性的架构。高效的资料整合对于从市场上的不同资料集提取见解并释放价值至关重要。

对个人化体验的需求不断增长

公司正在寻找符合其特定目标和挑战的客製化解决方案。这项需求是由资料集日益复杂以及对直接影响决策的可操作见解的渴望所推动的。随着公司寻求能够提供可自订工具、演算法和报告结构来满足其独特需求的分析提供商，资料分析领域对个人化产品的需求正在迅速增长。

实施成本高

市场面临一个重大挑战：实施成本高。希望实施分析解决方案的公司面临着与获取专用硬体、软体许可证和僱用熟练专业人员相关的巨大成本。此外，还存在与维护、更新和资料管理相关的持续成本。这些财务障碍通常会阻碍小型企业充分利用资料分析的潜力，这限制了它们在日益资料主导的趋势中有效竞争的能力。

COVID-19 的影响：

COVID-19 的疫情对资料分析市场产生了重大影响。随着企业寻求即时洞察以克服不确定性，对分析解决方案的需求激增。医疗保健、金融和电子商务等行业都严重依赖资料分析来调整策略。远距工作的活性化加速了云端基础的分析平台的采用。然而，预算限制和业务中断减缓了市场成长，特别是在非必需产业。儘管面临挑战，疫情凸显了资料主导决策的重要性，并促进了资料分析市场的长期成长前景。

预测分析产业预计将在预测期内成为最大的产业

预测分析领域预计将在预测期内成长达到顶峰。预测分析在资料分析的动态格局中发挥着至关重要的作用。透过利用先进的演算法和统计技术，企业可以预测未来的趋势、行动和结果。这使企业能够做出资料主导的决策、优化业务、降低风险并利用机会。它从海量资料集获取可行见解的能力将继续重塑各个领域的产业，并推动成长和效率。

资料监测领域预计在预测期内复合年增长率最高

资料监测产业预计在预测期内复合年增长率最高。资料监控包括即时监控、异常检测和效能分析，以识别与预期模式和趋势的偏差。这种主动方法使企业能够维护资料完整性，儘早发现潜在问题和错误，并做出明智的决策。随着资料量和复杂性的增加，强大的资料监控解决方案对于企业优化资料分析流程并有效获得有价值的见解至关重要。

比最大的地区

由于各行业对资料主导洞察的需求不断增长，预计北美将在预测期内占据最大的市场占有率。随着人们对数位转型的关注迅速增加以及巨量资料的激增，企业越来越多地投资于高级分析解决方案，以获取可操作的情报。随着公司意识到利用资料获得竞争优势的策略重要性，这一趋势必将加速。

复合年增长率最高的地区：

由于各行业数位化的提高和先进技术的采用，预计亚太地区在预测期内将保持最高的复合年增长率。随着每天产生的资料量激增，企业越来越依赖分析解决方案来获得可行的见解并获得竞争优势。各大公司都在研发方面投入巨资，并专注于人工智慧和机器学习演算法等创新。这种充满活力的格局为该地区的老牌企业和新兴企业企业提供了双赢的机会。

免费客製化服务

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第四章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球资料分析市场：按类型

  • 规定性分析
  • 预测分析
  • 说明分析
  • 客户分析
  • 商业分析
  • 风险分析
  • 其他类型

第六章全球资料分析市场：依发展划分

  • 云
  • 本地

第七章 全球资料分析市场：依公司规模划分

  • 中小企业 (SME)
  • 大公司

第八章全球资料分析市场：按解决方案

  • 诈欺和安全情报
  • 资料管理
  • 资料监控
  • 资料探勘

第九章 全球资料分析市场：依应用分类

  • 供应链管理
  • 资料库管理
  • 企业资源规划
  • 人力资源管理
  • 其他用途

第 10 章 全球资料分析市场：依最终使用者分类

  • 政府
  • 卫生保健
  • 电信与资讯技术
  • 军事和国防
  • 其他最终用户

第十一章全球资料分析市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十二章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司简介

  • 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.