大数据分析市场概况、增长、趋势、分析、研究报告(2021-2028 年)

  • Report Code : TIPRE00029289
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 249
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Big Data Analytics Market Share Report | Growth Statistics & Forecast 2028

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[研究报告] 大数据分析市场在 2021 年规模达 2397.5 亿美元,预计到 2028 年将达到 6386.6 亿美元,2022-2028 年期间的复合年增长率为 15.3 %。 

 

分析师观点:

近年来,大数据分析市场经历了显著的增长和转型,彻底改变了企业和组织从海量数据中提取有价值见解的方式。零售、金融、医疗保健和电信等各个行业的数据生成量呈指数级增长,迫切需要先进的分析工具和技术。随着数字设备、社交媒体平台和物联网设备的普及,海量数据正以前所未有的速度生成。组织已经认识到利用大数据获得竞争优势的巨大潜力。此外,技术进步在塑造大数据分析市场方面发挥了至关重要的作用。

可扩展且经济高效的云计算平台的出现 使企业能够更轻松地存储、处理和分析大型数据集。大数据分析市场的特点是各种各样的解决方案提供商,包括知名软件供应商、小众分析初创公司和云服务提供商。这些公司提供各种分析平台、工具和服务,以满足业务需求。市场为各种规模的组织提供了许多选择,从使业务用户能够执行临时分析的自助分析工具到提供高级分析功能的企业级分析平台。近年来,大数据分析市场经历了显著的增长和转型,彻底改变了企业和组织从海量数据中提取有价值见解的方式。大数据分析是指检查、组织和解释大型复杂数据集,以发现可以为决策提供信息并推动业务战略的模式、趋势和相关性。几个关键因素推动了大数据分析市场的发展。零售、金融、医疗保健和电信等各个行业的数据生成量呈指数级增长,迫切需要高级分析工具和技术。随着数字设备、社交媒体平台和物联网设备的激增,海量数据正以前所未有的速度生成。组织已经认识到利用大数据获得竞争优势的巨大潜力。市场为各种规模的组织提供了许多选择,从使业务用户能够执行临时分析的自助分析工具到提供高级分析功能的企业级分析平台。

 

市场概况:

 

大数据分析在企业中发挥着重要作用,因为它使企业能够实时管理、组织和简化庞大的数据集,同时提高决策能力。此外,大数据和商业分析的一个关键目标是帮助企业更好地了解目标受众和客户,从而加强营销活动。此外,各种企业都在实施大数据和商业分析,以分析全球线下和线上交易产生的大量数据。这使不同的大数据服务提供商比竞争对手的服务提供商更具优势,使他们能够增加对云技术的投资。此外,由于云端大数据和商业分析的发展,客户可以从世界任何地方在线访问所有数据。这使不同的大数据服务提供商比竞争对手的服务提供商更具优势,使他们能够增加对云技术的投资。

 

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大数据分析市场:

大数据分析市场
  • Big Data Analytics Market
    复合年增长率(2021 - 2028 年)
    15.3%
  • 2021 年市场规模
    2397.5 亿美元
  • 2028 年市场规模
    6,386.6 亿美元

市场动态

增长动力
  • 大数据分析在供应链管理中的应用日益广泛
  • 跨行业不断增长的数据库
未来的趋势
  • 边缘计算趋势日益增长,推动分析工具需求
机会
  • 大数据分析的技术进步

关键人物;主力;重要一员

  •  
  • 亚马逊网络服务
  • 费埃哲
  • 惠普企业发展有限公司 (HPE)
  • IBM 公司
  • 微软公司
  • 甲骨文公司
  • 思爱普
  • SAS 研究所
  • TIBCO 软件公司

区域概况

Big Data Analytics Market
  • 北美
  • 欧洲
  • 亚太
  • 南美洲和中美洲
  • 中东和非洲

市场细分

Big Data Analytics Market成分
  • 软件和服务
Big Data Analytics Market分析工具
  • 仪表板和数据可视化
  • 数据挖掘和仓储
  • 自助服务工具
  • 报告
  • 其他的
Big Data Analytics Market应用
  • 客户分析
  • 供应链分析
  • 营销分析
  • 定价分析
  • 劳动力分析
  • 其他的
Big Data Analytics Market终端使用行业
  • 制药
  • 半导体
  • 电池制造
  • 电子产品
  • 其他的
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

 

市场驱动因素:

 

数据生成不断增加,推动全球大数据分析市场增长

不断增加的数据生成是推动大数据分析市场发展的重要驱动力。在当今的数字时代,来自社交媒体、物联网设备、数字交易和企业系统等各种来源的数据激增。这种数据爆炸式增长为组织提供了巨大而宝贵的资源,可帮助他们获得洞察力并做出明智的决策。丰富的数据使企业能够更深入、更准确地分析和了解客户行为、偏好和趋势。通过利用大数据分析,公司可以发现隐藏的模式、相关性和以前无法获得的洞察力。这使组织能够做出数据驱动的决策,发现新的市场机会并优化运营。

此外,数据生成的增长与数字技术和连通性的兴起密切相关。随着智能手机、社交媒体平台和在线交易的普及,个人和企业留下了产生大量数据的数字足迹。这些数字足迹提供了丰富的信息来源,可用于有针对性的营销、个性化的客户体验和提高运营效率。数据生成的增长也与物联网 (IoT) 的出现相一致,物联网中各种互连的设备和传感器实时收集和传输数据。这些数据包括对消费者行为、产品使用、环境因素等的宝贵见解。大数据分析可帮助组织从这些物联网生成的数据中提取有价值的见解,以增强产品开发、优化供应链并改善客户体验。

此外,数据生成的不断增加也为企业创造了将数据资产货币化的机会。通过利用大数据分析,组织可以分析大量数据并提取有价值的见解,这些见解可以打包成产品或服务提供给客户。这种数据货币化模式为公司开辟了新的收入来源和商业模式,进一步推动了市场增长。

 

节段分析:

根据组件,大数据分析市场分为软件和服务。软件部分在 2020 年占据了最大的市场份额,预计在预测期内将实现最高的复合年增长率。由于几个关键因素,软件部分占据了大数据分析市场的最大份额。软件解决方案提供各种分析平台、工具和应用程序来处理大型和复杂的数据集。它们使组织能够有效地处理、分析和解释数据。预测分析和机器学习等高级分析技术可以通过软件工具应用,从而提供有价值的见解。用户友好的自助分析工具使非技术用户能够独立探索和分析数据。

软件解决方案还提供可扩展性和灵活性,具有本地或云部署选项。市场的特点是解决方案提供商生态系统充满活力,不断创新其产品。总体而言,该软件可在大数据分析市场中实现高效的数据分析、高级分析功能、自助分析、可扩展性和创新。

 

区域分析:

2021 年,北美全球大数据分析市场价值为 1004 亿美元,预计到 2028 年将达到 2535.5 亿美元;预计在预测期内,复合年增长率为 14.4%。北美地区在大数据分析市场的主导地位可以归因于几个关键因素,这些因素促成了其领导地位。北美一直处于技术进步和创新的前沿,拥有强大的科技公司、研究机构和初创公司生态系统,推动着大数据分析解决方案的开发和采用。硅谷等主要技术中心在培育和加速市场增长方面发挥了关键作用。该地区拥有成熟且高度数字化的商业格局,拥有金融、医疗保健、零售和制造业等众多大型企业。这些组织认识到利用大数据分析获得竞争优势的战略重要性,因此在分析基础设施、人才和解决方案方面投入了大量资金。北美还拥有丰富的数据源,并生成大量数据。电子商务、社交媒体、数字广告和金融服务等技术先进且数据密集的行业对数据生成做出了巨大贡献。这种数据丰富为应用大数据分析创造了肥沃的土壤,并推动了对高级分析功能的需求。

此外,北美受益于有利的监管环境,高度重视数据隐私和安全。监管的稳定性和清晰度创造了一个有利于利用大数据分析的生态系统,同时确保遵守数据保护法。强大的数据治理实践和框架增强了对分析解决方案的信任和信心。该地区高技能的劳动力和对数据科学教育和研究的重视也发挥了重要作用。北美拥有丰富的数据分析人才,进一步支持了大数据分析解决方案的开发和采用。

 

大数据分析市场报告范围

报告属性细节
2021 年市场规模2397.5亿美元
2028 年市场规模6386.6 亿美元
全球复合年增长率(2021 - 2028)15.3%
历史数据2019-2020
预测期2022-2028
涵盖的领域按组件
  • 软件和服务
通过分析工具
  • 仪表板和数据可视化
  • 数据挖掘和仓储
  • 自助服务工具
  • 报告
  • 其他的
按应用
  • 客户分析
  • 供应链分析
  • 营销分析
  • 定价分析
  • 劳动力分析
  • 其他的
按最终用途行业
  • 制药
  • 半导体
  • 电池制造
  • 电子产品
  • 其他的
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  •  
  • 亚马逊网络服务
  • 费埃哲
  • 惠普企业发展有限公司 (HPE)
  • IBM 公司
  • 微软公司
  • 甲骨文公司
  • 思爱普
  • SAS 研究所
  • TIBCO 软件公司
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

 

关键球员分析:

全球大数据分析市场分析包括亚马逊网络服务、FICO、惠普企业发展有限公司 (HPE)、IBM 公司、微软公司、甲骨文公司、SAP SE、SAS Institute Inc.、TIBCO Software Inc. 和 Teradata 等参与者。在全球大数据分析领域,亚马逊网络服务和甲骨文公司因其提供多样化的产品组合而成为顶级关键参与者。

 

最近的发展:

 

全球大数据分析市场中的公司普遍采用并购等无机和有机战略。以下列出了一些近期的关键市场发展: 

  • 2021 年 2 月,RapidMiner, Inc. 宣布与边缘即服务公司 Hivecell 建立合作伙伴关系。
  • 2020 年 10 月 – Fractal Analytics 宣布其子公司 Theremin.ai 已从 OLMO Capital 筹集资金。这笔资金将用于构建其算法投资产品和扩大其人才队伍。
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What are the factors driving the growth of the big data analytics market growth?

Firms like IT firms can access, store, and process huge amounts of data due to advances in information technologies. Organizations analyze data sets and generate significant insights to apply to their operations, thereby demonstrating the importance of big data in several industries. Big data analytics in logistics and supply chain management (LSCM) has gotten tremendous attention because of its complexity and the important role of LSCM in improving overall business performance. Thus, increasing the adoption of big data analytics in supply chain management are driving the big data analytics market growth.

What are the top 5 key players in big data analytics markets?

The top five key players operating in the big data analytics markets IBM Corporation, Oracle Corporation, SAP SE, VMware, Inc., and Salesforce, Inc. are among the key players profiled in the research study on the big data analytics market.

Which segment of the end user industry is driving the big data analytics market?

Based on end user industry, the big data analytics market is segmented into pharmaceuticals, semiconductor, battery manufacturing, electronics, and others. The others segment accounted for the largest share in the big data analytics market in 2021. BFSI, automotive, IT & telecom, and transportation and logistics, retail & CG, healthcare, and manufacturing are among others in the end user industry that come under the other segment.

Which segment of the application is driving the big data analytics market?

Based on application, the big data analytics market is segmented into customer analytics, supply chain analytics, marketing analytics, pricing analytics, workforce analytics, and others. The customer analytics segment accounted for the largest share in the big data analytics market in 2021. Customer analytics is a method that allows you to make wise and well-informed business decisions by analyzing data gathered from your customers' behavior. The following tools provide a broad range of features and capabilities, from website use to social media participation such as Mixpanel, Google Analytics, Kissmetrics, Woopra, Hotjar, Zoho Pagesense, Crazyegg, and many more. It also allows website owners to monitor how users interact with their sites through heat maps and screen recordings. Thus, these factors of customer analytics driving the growth of a market.

Which segment of analytical tools is driving the big data analytics market?

Based on analytical tools, the big data analytics market is segmented into dashboard and data visualization, data mining and warehousing, self-service tools, reporting, and others. The dashboard and data visualization segment accounted for a larger share of the big data analytics market in 2021. The technologies could present massive amounts of data in an understanding way, which means Big Data visualization initiatives combine IT and management projects. Thus, these factors of dashboard and data visualization is driving the growth of a market.

Which segment of components is driving the big data analytics market?

Based on component, the big data analytics market is segmented into software and services. The software segment accounted for a larger share of the big data analytics market in 2021. Organizations shifting on digital platforms are adopting business intelligence solutions, customer relationship management, and workforce analytics. Thus, these factors of software is driving the growth of a market.

What are the market opportunities for the big data analytics market?

The adoption of the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML) algorithms are increasing the number of linked IoT devices. Edge computing is gaining popularity with the rising demand for connected devices. Edge computing refers to a framework in which processors are positioned closer to the data source or destination than the cloud. As a result, the ongoing trend toward edge computing to increase database quantity is expected to fuel future market opportunities for big data analytics market players.

The List of Companies - Big Data Analytics Market 

  1. Amazon Web Services
  2. FICO
  3. Hewlett Packard Enterprise Development LP (HPE)
  4. IBM Corporation
  5. Microsoft Corporation
  6. Oracle Corporation
  7. SAP SE
  8. SAS Institute Inc.
  9. TIBCO Software Inc.
  10. Teradata

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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