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大数据分析市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按组件、部署模式、按应用、组织规模、产业、地区、竞争细分
市场调查报告书
商品编码
1359855

大数据分析市场 - 2018-2028 年全球产业规模、份额、趋势、机会和预测，按组件、部署模式、按应用、组织规模、产业、地区、竞争细分

Big Data Analytics Market- Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Component, By Deployment Mode, By Application, By Organization Size, By Industry, By Region, Competition
出版日期: | 出版商: TechSci Research | 英文 196 Pages | 商品交期: 2-3个工作天内

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简介目录

预计到 2028 年底，全球大数据分析市场将达到 3,045.7 亿美元，预测期内年复合成长率(CAGR) 为 14.9%。大数据分析市场的成长是由数据驱动决策的日益采用所推动的，因为不同行业的企业都认识到数据驱动决策对于提取见解、优化营运和提高业务成果的重要性。大资料和分析解决方案用于分析大量结构化和非结构化资料，发现可操作的见解，并促进明智的决策。此外，许多企业利用大资料和业务分析来分析全球线下和线上交易产生的大量资料，使某些大资料服务供应商在云端技术方面具有竞争优势。此外，云端上大资料和业务分析的发展使客户能够从全球任何位置存取资料，从而促进云端技术的进一步进步。这为不同的大资料服务供应商提供了优于竞争对手的优势，推动市场进一步成长。

主要市场驱动因素：

不断增加的数据产生推动全球大数据分析市场的成长：资料产生的不断增加是大资料分析市场成长的主要催化剂。在当今的数位时代，社交媒体、物联网设备、数位交易和企业系统等各种来源的资料创建显着激增。这种资料爆炸为组织提供了庞大且宝贵的资源，可用于获取见解并做出明智的决策。丰富的资料使企业能够更深入、更准确地分析和理解客户行为、偏好和趋势。透过利用大资料分析，公司可以发现隐藏的模式、相关性和以前无法获得的见解，使他们能够采用数据驱动的决策，识别新的市场机会并优化营运。此外，不断增加的资料产生与数位技术和连接的扩散有着错综复杂的联繫。随着智慧型手机、社交媒体平台和线上交易的广泛使用，个人和企业正在留下产生大量资料的数位足迹。这种数位足迹提供了丰富的资讯来源，可用于有针对性的行销、个人化的客户体验和提高营运效率。资料产生的成长也与物联网 (IoT) 的出现一致，物联网中互连的设备和感测器收集和传输即时资料。这些资料包含对消费者行为、产品使用、环境因素等的宝贵见解。大资料分析可帮助组织从物联网产生的资料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，不断增加的资料生成为企业提供了将资料资产货币化的机会。透过利用大资料分析，组织可以分析大量资料并提取有价值的见解，这些见解可以打包为客户的产品或服务。这种资料货币化模式开启了新的收入来源和商业模式，进一步推动市场成长。

市场概况
预测期 2024-2028
2022 年市场规模 304. 570 亿美元
2028 年市场规模 7008.2亿美元
2023-2028 年复合年增长率 14.81%
成长最快的细分市场 风险与诈欺分析
最大的市场 北美洲

企业对数据驱动决策的需求不断成长：

随着社交媒体、感测器、线上交易和数位管道等不同来源产生的资料呈指数级增长，组织正在利用大数据和分析解决方案来提取有价值的见解并做出明智的决策。即时或近即时处理和分析大量资料的能力对于企业获得竞争优势、优化营运、增强客户体验和发现新的成长机会至关重要。组织正在认识到数据驱动决策对于推动创新、提高营运效率和实现业务目标的重要性。大数据和分析解决方案提供预测分析、机器学习和人工智慧等高级分析功能，使组织能够从大量资料中获得可行的见解。这些见解可帮助组织了解客户行为、优化定价和库存管理、识别市场趋势、预测需求和个人化客户体验等。此外，物联网 (IoT) 设备和技术的日益普及正在产生大量资料，需要先进的大数据和分析解决方案来进行处理、分析和解释。物联网设备从感测器、机器、穿戴式装置和连接装置等各种来源产生资料，这些数据可用于优化营运、增强安全性并提升客户体验。这种需求的激增推动了对大数据和分析解决方案的需求，这些解决方案能够处理大规模资料处理和分析，同时为物联网应用提供即时洞察。对个人化客户体验不断增长的需求正在显着改变全球大资料分析市场。这种转变正在重塑企业处理客户参与和保留的方式。透过利用广泛的资料分析的力量，公司可以破解有关个人偏好、行为和需求的复杂模式和见解。这使得能够创建在个人层面产生共鸣的客製化产品、服务和行销策略，从而培养更牢固的联繫和品牌忠诚度。随着组织努力提供独特且相关的交互，大数据分析成为提供卓越客户旅程的基石。这种趋势不仅提高了客户满意度，还使企业能够做出明智的决策，从而推动收入成长。个人化客户体验和大资料分析之间的共生关係凸显了市场扩张的关键驱动力，并有望塑造企业在全球范围内联繫和迎合客户的未来。

云端运算的日益普及

在云端运算广泛采用的推动下，全球大资料分析市场正在显着成长。企业正在利用云端平台来高效储存、处理和分析大量资料，从而释放可扩展性和成本效益。基于云端的基础设施可加速数据驱动的洞察，使组织能够快速从其资讯资产中获取价值。云端运算和大数据分析之间的这种共生关係正在重塑产业、推动创新并为市场的持续扩张做好准备。

主要市场挑战

日益增长的安全性担忧可能会阻碍市场成长

科技带来了重大的安全问题，包括虚假资料产生、即时安全和保护客户资料隐私。应对这些挑战至关重要，涵盖远端储存、身分治理、系统和网路安全投资、人为错误、连网设备和物联网 (IoT) 应用等领域。针对各行业储存的客户资料的资料遗失和网路攻击事件的增加预计将阻碍市场成长。此外，遵守资料隐私法（例如资料保护和隐私法、2000 年资讯科技法、欧盟一般资料保护规范 (GDPR) 等）可能会为解决方案实施带来障碍。

对缺乏熟练的大数据分析专业人员的担忧

由于缺乏熟练的专业人员，全球大资料分析市场在进一步扩张的道路上面临重大障碍。资料分析的复杂性要求个人对资料处理、统计分析和机器学习技术有深入的了解。然而，对这些专业技能的需求远远超出了可用的人才库。熟练专业人员的稀缺性阻碍了跨产业大资料分析解决方案的有效实施和利用。它不仅减慢了创新的步伐，还限制了组织从资料中获取有意义的见解的能力。解决这一短缺需要在教育、培训和技能提升方面共同努力，使新一代资料专家能够充分利用大资料分析的潜力并推动其在全球范围内的持续成长。

主要市场趋势

人工智慧 (AI) 和机器学习 (ML) 的出现

在人工智慧 (AI) 和机器学习 (ML) 快速崛起的推动下，全球大资料分析市场正在经历重大转型。这些先进技术透过从大量资料集中提供自动化和预测性见解，正在彻底改变资料分析。人工智慧和机器学习演算法提取有意义的模式、趋势和相关性，为跨行业的决策提供资讯。它们提高了资料处理的准确性、速度和可扩展性，解锁更深层的理解并揭示隐藏的机会。随着企业越来越认识到人工智慧和机器学习在推动创新和竞争优势方面的价值，在资料分析与人工智慧和机器学习的智慧功能之间的协同关係的推动下，大数据分析市场有望实现大幅增长。

对监管合规性的需求不断增长

大数据分析和监管合规的融合是一种变革性的协同作用。它使组织不仅能够遵守法律框架，还能简化营运、强化资料治理并建立透明文化。随着全球法规的不断发展以及严格的资料保护标准成为常态，对复杂的大数据分析解决方案的需求必将进一步增长。该市场的成长体现在它在帮助企业将资料实践与监管准则保持一致、维护消费者信任以及最终在监管合规性至关重要的环境中蓬勃发展方面发挥关键作用。

细分市场洞察

关于部署类型的见解

大数据分析市场分为本地部署类型和基于云端的部署类型。在整个预测期内，基于云端的大资料分析仍然是主导领域。基于云端的大资料分析为组织提供了处理不断增长的资料量和复杂性所需的灵活性、可扩展性和成本效益。透过云端部署，企业可以无缝存取和管理大量资料集，无需大量的本地基础设施投资或维护。这简化了营运并加快了分析功能的部署，从而实现快速洞察和明智的决策。因此，基于云端的大数据分析市场预计将引起广泛关注并经历大幅成长。

对组件类型的见解

大资料分析市场根据组件分为软体和服务。 2022 年，软体领域占据最大的市场份额，预计在预测期内将呈现最高的复合年增长率。软体领域在大资料分析市场中的主导地位可归因于几个关键因素。软体解决方案提供了广泛的分析平台、工具和应用程式来处理大型且复杂的资料集，使组织能够有效地处理、分析和解释资料。这些软体工具还促进了预测分析和机器学习等高级分析技术的应用，提供了有价值的见解。此外，使用者友善的自助分析工具使非技术使用者能够独立探索和分析资料。此外，软体解决方案透过本地或云端部署选项提供可扩充性和灵活性。该市场的特点是由不断创新其产品的解决方案提供者组成的动态生态系统。总体而言，软体在大资料分析市场中实现高效资料分析、高级分析功能、自助分析、可扩展性和创新方面发挥着至关重要的作用。

区域洞察

预计北美将在预测期内占据收入的很大一部分。该地区是各行业知名企业的所在地，并广泛实施软体解决方案。由于对增强合规性分析的高级分析工具的需求不断增加，美国有望实现快速成长。这些工具在侦测诈欺、政策违规和其他形式的商业不当行为方面发挥着至关重要的作用。该国正在对机器学习、物联网和人工智慧等尖端技术进行大量投资，为产业带来指数级资料的产生。此外，北美在技术进步和创新方面始终处于领先地位。其强大的生态系统由科技公司、研究机构和新创公司组成，在推动大资料分析解决方案的开发和采用方面发挥了重要作用。值得注意的是，硅谷等主要技术中心在培育和加速市场成长方面发挥了关键作用。

主要市场参与者

  • 1.埃森哲公司
  • 2. Teradata公司
  • 3.国际商业机器公司
  • 4. Palantir 科技公司
  • 5.亚马逊网路服务公司
  • 6. Splunk公司
  • 7.戴尔公司
  • 8.微软公司
  • 9.SAPSE
  • 10.甲骨文公司

可用的客製化：

全球大数据分析市场报告根据给定的市场资料，技术科学研究根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项：

公司资讯

  • 其他市场参与者（最多五个）的详细分析和概况分析。

目录

第 1 章：服务概述

第 2 章：研究方法

第 3 章：COVID-19 对全球大数据分析市场的影响

第 4 章：执行摘要

第 5 章：全球大数据分析市场概述

第 6 章：全球大数据分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件（解决方案和服务）
    • 依部署模式（本地、云端和混合）
    • 按应用（风险与诈欺分析、企业资料仓储最佳化、物联网、客户分析、营运分析、安全情报等）
    • 按组织规模（大型企业和中小企业）
    • 按行业（BFSI、医疗保健、政府、IT 和电信、製造、零售等）
    • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
    • 按前 10 个国家/地区
    • 按公司划分 (2022)
  • 市场地图

第 7 章：北美大数据分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模式
    • 按应用
    • 按组织规模
    • 按行业分类
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 8 章：欧洲大数据分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模式
    • 按应用
    • 按组织规模
    • 按行业分类
  • 欧洲：国家分析
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 义大利

第 9 章：南美洲大数据分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模式
    • 按应用
    • 按组织规模
    • 按行业分类
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第 10 章：中东和非洲大数据分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模式
    • 按应用
    • 按组织规模
    • 按行业分类
  • 中东和非洲：国家分析
    • 以色列
    • 卡达
    • 阿联酋
    • 沙乌地阿拉伯

第 11 章：亚太地区大数据分析市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署模式
    • 按应用
    • 按组织规模
    • 按行业分类
  • 亚太地区：国家分析
    • 中国大数据分析
    • 日本大数据分析
    • 韩国大数据分析
    • 印度大数据分析
    • 澳洲大数据分析

第 12 章：市场动态

  • 司机
  • 挑战

第 13 章：市场趋势与发展

第 14 章：客户之声

第 15 章：公司简介

  • 埃森哲公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered
  • 天睿公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered
  • 国际商业机器公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered
  • 帕兰提尔科技公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered
  • 亚马逊网路服务公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered
  • 斯普朗克公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered
  • 戴尔公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered
  • 微软公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered
  • SAP系统公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered
  • 甲骨文公司
    • Business Overview
    • Key Financials & Revenue
    • Key Contact Person
    • Headquarters Address
    • Key Product/Service Offered

第 16 章：策略建议

第 17 章：关于我们与免责声明

简介目录
Product Code: 5035

The Global Big Data Analytics Market is projected to reach USD 304.57 billion by the end of 2028, with a compound annual growth rate (CAGR) of 14.9% during the forecast period. The growth of the Big Data Analytics market is driven by the increasing adoption of data-driven decision-making as enterprises across diverse industries acknowledge the significance of data-driven decision making for extracting insights, optimizing operations, and enhancing business outcomes. Big data and analytics solutions are utilized to analyze substantial amounts of structured and unstructured data, uncover actionable insights, and facilitate informed decision making. Moreover, numerous businesses leverage big data and business analytics to analyze vast quantities of data generated by global offline and online trading, granting certain big data service providers a competitive edge in cloud technologies. Additionally, the development of big data and business analytics on the cloud empowers customers to access data from any location worldwide, fostering further advancements in cloud technologies. This presents different big data service providers with an advantage over their rivals, driving further growth in the market.

Key Market Drivers:

Increasing Data Generation Driving Growth of Global Big Data Analytics Market: The escalating generation of data serves as a major catalyst for the growth of the big data analytics market. In the present digital era, there is a significant surge in data creation from various sources such as social media, IoT devices, digital transactions, and enterprise systems. This data explosion presents organizations with a vast and invaluable resource for gaining insights and making well-informed decisions. The abundance of data enables businesses to analyze and comprehend customer behavior, preferences, and trends with enhanced depth and accuracy. By leveraging big data analytics, companies can uncover hidden patterns, correlations, and previously inaccessible insights, empowering them to adopt data-driven decision-making, identify new market opportunities, and optimize operations. Additionally, the mounting data generation is intricately linked to the proliferation of digital technologies and connectivity. With the widespread use of smartphones, social media platforms, and online transactions, individuals and businesses are leaving digital footprints that generate massive amounts of data. This digital footprint provides a rich source of information that can be harnessed for targeted marketing, personalized customer experiences, and improved operational efficiency. The growth in data generation also aligns with the emergence of the Internet of Things (IoT), where interconnected devices and sensors collect and transmit real-time data. This data encompasses valuable insights into consumer behavior, product usage, environmental factors, and more. Big data analytics helps organizations extract valuable insights from this IoT-generated data to enhance product development, optimize supply chains, and improve customer experiences. Furthermore, the increasing data generation has presented businesses with opportunities to monetize data assets. By leveraging big data analytics, organizations can analyze large volumes of data and extract valuable insights that can be packaged as products or services for customers. This data monetization model has opened new revenue streams and business models, further propelling market growth.

Market Overview
Forecast Period2024-2028
Market Size 2022USD 304. 57 billion
Market Size 2028USD 700.82 billion
CAGR 2023-202814.81%
Fastest Growing SegmentRisk & Fraud Analytics
Largest MarketNorth America

Growing Demand for Data-Driven Decision Making in Businesses:

With the exponential growth of data generated from diverse sources such as social media, sensors, online transactions, and digital channels, organizations are leveraging Big Data and Analytics solutions to extract valuable insights and make informed decisions. The ability to process and analyze large volumes of data in real-time or near-real-time has become crucial for businesses to gain a competitive edge, optimize operations, enhance customer experience, and identify new growth opportunities. Organizations are recognizing the significance of data-driven decision-making to drive innovation, improve operational efficiency, and achieve business objectives. Big Data and Analytics solutions offer advanced analytics capabilities such as predictive analytics, machine learning, and artificial intelligence, empowering organizations to derive actionable insights from vast amounts of data. These insights assist organizations in understanding customer behavior, optimizing pricing and inventory management, identifying market trends, forecasting demand, and personalizing customer experiences, among others. Furthermore, the increasing adoption of Internet of Things (IoT) devices and technologies is generating massive amounts of data that require advanced Big Data and Analytics solutions for processing, analysis, and interpretation. IoT devices generate data from various sources such as sensors, machines, wearables, and connected devices, which can be used to optimize operations, enhance safety, and elevate customer experiences. This surge in demand is driving the need for Big Data and Analytics solutions capable of handling large-scale data processing and analysis while providing real-time insights for IoT applications. The growing demand for personalized customer experiences is significantly transforming the global big data analytics market. This shift is reshaping how businesses approach customer engagement and retention. By harnessing the power of extensive data analysis, companies can decipher intricate patterns and insights about individual preferences, behaviors, and needs. This enables the creation of tailor-made products, services, and marketing strategies that resonate on a personal level, fostering stronger connections and brand loyalty. As organizations strive to provide unique and relevant interactions, Big Data Analytics becomes a cornerstone in delivering exceptional customer journeys. This trend not only enhances customer satisfaction but also empowers businesses to make informed decisions that drive revenue growth. The symbiotic relationship between personalized customer experiences and big data analytics underscores a pivotal driver of the market's expansion, poised to shape the future of how businesses connect and cater to their clientele on a global scale.

The increasing adoption of cloud computing

The global big data analytics market is witnessing significant growth, driven by the widespread adoption of cloud computing. Businesses are leveraging cloud platforms to efficiently store, process, and analyze large volumes of data, unlocking scalability and cost-effectiveness. Cloud-based infrastructure accelerates data-driven insights, enabling organizations to derive value from their information assets quickly. This symbiotic relationship between cloud computing and Big Data Analytics is reshaping industries, driving innovation, and positioning the market for sustained expansion.

Key Market Challenges

Growing Security Concerns May Impede Market Growth

Technology presents significant security concerns, including fake data generation, real-time security, and safeguarding customer data privacy. Addressing these challenges is critical, encompassing areas such as remote storage, identity governance, system and network security investment, human error, connected devices, and Internet of Things (IoT) applications. The increasing incidents of data loss and cyberattacks targeting stored customer data across industries are expected to hinder market growth. Moreover, compliance with data privacy laws such as Data Protection & Privacy, Information Technology Act, 2000, EU General Data Protection Regulation (GDPR), and others is likely to pose obstacles to solution implementation.

Concerns Related to Shortage of Skilled Big Data Analytics Professionals

The global big data analytics market faces a significant hurdle in its path to further expansion due to a shortage of skilled professionals. The complex nature of data analytics demands individuals with a deep understanding of data processing, statistical analysis, and machine learning techniques. However, the demand for these specialized skills far exceeds the available talent pool. This scarcity of skilled professionals hampers the efficient implementation and utilization of big data analytics solutions across industries. It not only slows down the pace of innovation but also limits organizations' capacity to derive meaningful insights from their data. Addressing this shortage requires concerted efforts in education, training, and upskilling to empower a new generation of data experts capable of harnessing the full potential of big data analytics and driving its continued growth on a global scale.

Key Market Trends

The emergence of artificial intelligence (AI) and machine learning (ML)

The global big data analytics market is undergoing a significant transformation, driven by the rapid rise of artificial intelligence (AI) and machine learning (ML). These advanced technologies are revolutionizing data analysis by enabling automated and predictive insights from vast datasets. AI and ML algorithms extract meaningful patterns, trends, and correlations that inform decision-making across industries. They enhance the accuracy, speed, and scalability of data processing, unlocking deeper levels of understanding and revealing hidden opportunities. As businesses increasingly recognize the value of AI and ML in driving innovation and competitive advantage, the Big Data Analytics market is poised for substantial growth, fueled by the synergistic relationship between data analytics and the intelligent capabilities of AI and ML.

The Growing Need for Regulatory Compliance

The convergence of Big Data Analytics and regulatory compliance is a transformative synergy. It empowers organizations to not only adhere to legal frameworks but also streamline operations, enhance data governance, and establish a culture of transparency. As global regulations continue to evolve and stringent data protection standards become the norm, the demand for sophisticated Big Data Analytics solutions is set to rise further. The market's growth is underscored by the pivotal role it plays in assisting businesses in aligning their data practices with regulatory guidelines, safeguarding consumer trust, and ultimately thriving in an environment where regulatory compliance is of paramount importance.

Segmental Insights

Insights on Deployment Types

The Big Data Analytics market is divided into on-premises and cloud-based deployment types. Throughout the forecast period, cloud-based big data analytics remains the dominant segment. Cloud-based big data analytics offers organizations the flexibility, scalability, and cost-efficiency needed to handle the ever-growing volume and complexity of data. With cloud deployment, businesses can access and manage extensive datasets seamlessly, without the need for extensive on-premises infrastructure investments or maintenance. This streamlines operations and expedites the deployment of analytics capabilities, enabling rapid insights and informed decision-making. As a result, the cloud-based Big Data Analytics market is expected to attract significant attention and experience substantial growth.

Insights on Component Types

The big data analytics market is categorized into software and services based on components. In 2022, the software segment held the largest market share and is projected to exhibit the highest CAGR during the forecast period. The dominance of the software segment in the big data analytics market can be attributed to several key factors. Software solutions provide a wide range of analytics platforms, tools, and applications to handle large and complex datasets, enabling organizations to efficiently process, analyze, and interpret data. These software tools also facilitate the application of advanced analytics techniques such as predictive analytics and machine learning, offering valuable insights. Moreover, user-friendly self-service analytics tools empower non-technical users to independently explore and analyze data. Furthermore, software solutions offer scalability and flexibility with on-premises or cloud deployment options. The market is characterized by a dynamic ecosystem of solution providers who continuously innovate their offerings. Overall, software plays a crucial role in enabling efficient data analysis, advanced analytics capabilities, self-service analytics, scalability, and innovation within the big data analytics market.

Regional Insights

North America is expected to capture a significant share of the revenue during the forecast period. The region is home to prominent businesses across various industries and extensively implements software solutions. The United States is poised for rapid growth due to the increasing demand for advanced analytics tools that enhance compliance analytics. These tools play a crucial role in detecting fraud, policy violations, and other forms of business misconduct. The country is making substantial investments in cutting-edge technologies such as machine learning, the Internet of Things, and artificial intelligence, resulting in the generation of exponential data for industries. Moreover, North America has consistently led the way in technological advancements and innovation. Its strong ecosystem, comprising technology companies, research institutions, and startups, has been instrumental in driving the development and adoption of big data analytics solutions. Notably, major technology hubs like Silicon Valley have played a pivotal role in nurturing and accelerating market growth.

Key Market Players

  • 1. Accenture Inc.
  • 2. Teradata Corporation
  • 3. International Business Machine Corporation
  • 4. Palantir Technologies Inc.
  • 5. Amazon Web Services, Inc.
  • 6. Splunk Inc.
  • 7. Dell Inc.
  • 8. Microsoft Corporation
  • 9. SAP SE
  • 10. Oracle Corporation

Report Scope:

In this report, the Global Big Data Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Global Big Data Analytics Market, By Component:

  • Solutions
  • Services

Global Big Data Analytics Market, By Deployment Type:

  • On-Premises
  • Cloud
  • Hybrid

Global Big Data Analytics Market, By Application:

  • Risk & Fraud Analytics
  • Enterprise Data Warehouse Optimization
  • Internet of Things
  • Customer Analytics
  • Operational Analytics
  • Security Intelligence
  • Others

Global Big Data Analytics Market, By Organization Size:

  • Large Enterprises
  • SMEs

Global Big Data Analytics Market, By Industry:

  • BFSI
  • Healthcare
  • Government
  • IT & Telecom
  • Manufacturing
  • Retail
  • Others

Global Big Data Analytics Market, By Region:

  • North America
  • Europe
  • South America
  • Middle East & Africa
  • Asia Pacific

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Big Data Analytics Market.

Available Customizations:

Global Big Data Analytics market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

2. Research Methodology

3. Impact of COVID-19 on Global Big Data Analytics Market

4. Executive Summary

5. Global Big Data Analytics Market Overview

6. Global Big Data Analytics Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component (Solutions and Services)
    • 6.2.2. By Deployment Mode (On-Premises, Cloud and Hybrid)
    • 6.2.3. By Application (Risk & Fraud Analytics, Enterprise Data Warehouse Optimization, Internet of Things, Customer Analytics, Operational Analytics, Security Intelligence and Others)
    • 6.2.4. By Organization Size (Large Enterprises and SMEs)
    • 6.2.5. By Industry (BFSI, Healthcare, Government, IT & Telecom, Manufacturing, Retail and Others)
    • 6.2.6. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
    • 6.2.7. By Top 10 Country
    • 6.2.8. By Company (2022)
  • 6.3. Market Map

7. North America Big Data Analytics Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment Mode
    • 7.2.3. By Application
    • 7.2.4. By Organization Size
    • 7.2.5. By Industry
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Big Data Analytics Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Deployment Mode
        • 7.3.1.2.3. By Application
        • 7.3.1.2.4. By Organization Size
        • 7.3.1.2.5. By Industry
    • 7.3.2. Canada Big Data Analytics Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Deployment Mode
        • 7.3.2.2.3. By Application
        • 7.3.2.2.4. By Organization Size
        • 7.3.2.2.5. By Industry
    • 7.3.3. Mexico Big Data Analytics Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Deployment Mode
        • 7.3.3.2.3. By Application
        • 7.3.3.2.4. By Organization Size
        • 7.3.3.2.5. By Industry

8. Europe Big Data Analytics Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Application
    • 8.2.4. By Organization Size
    • 8.2.5. By Industry
  • 8.3. Europe: Country Analysis
    • 8.3.1. Germany Big Data Analytics Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Deployment Mode
        • 8.3.1.2.3. By Application
        • 8.3.1.2.4. By Organization Size
        • 8.3.1.2.5. By Industry
    • 8.3.2. United Kingdom Big Data Analytics Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Deployment Mode
        • 8.3.2.2.3. By Application
        • 8.3.2.2.4. By Organization Size
        • 8.3.2.2.5. By Industry
    • 8.3.3. France Big Data Analytics Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Deployment Mode
        • 8.3.3.2.3. By Application
        • 8.3.3.2.4. By Organization Size
        • 8.3.3.2.5. By Industry
    • 8.3.4. Spain Big Data Analytics Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Deployment Mode
        • 8.3.4.2.3. By Application
        • 8.3.4.2.4. By Organization Size
        • 8.3.4.2.5. By Industry
    • 8.3.5. Italy Big Data Analytics Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Deployment Mode
        • 8.3.5.2.3. By Application
        • 8.3.5.2.4. By Organization Size
        • 8.3.5.2.5. By Industry

9. South America Big Data Analytics Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Application
    • 9.2.4. By Organization Size
    • 9.2.5. By Industry
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil Big Data Analytics Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Deployment Mode
        • 9.3.1.2.3. By Application
        • 9.3.1.2.4. By Organization Size
        • 9.3.1.2.5. By Industry
    • 9.3.2. Argentina Big Data Analytics Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Deployment Mode
        • 9.3.2.2.3. By Application
        • 9.3.2.2.4. By Organization Size
        • 9.3.2.2.5. By Industry
    • 9.3.3. Colombia Big Data Analytics Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Deployment Mode
        • 9.3.3.2.3. By Application
        • 9.3.3.2.4. By Organization Size
        • 9.3.3.2.5. By Industry

10. Middle East & Africa Big Data Analytics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment Mode
    • 10.2.3. By Application
    • 10.2.4. By Organization Size
    • 10.2.5. By Industry
  • 10.3. Middle East & Africa: Country Analysis
    • 10.3.1. Israel Big Data Analytics Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Deployment Mode
        • 10.3.1.2.3. By Application
        • 10.3.1.2.4. By Organization Size
        • 10.3.1.2.5. By Industry
    • 10.3.2. Qatar Big Data Analytics Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Deployment Mode
        • 10.3.2.2.3. By Application
        • 10.3.2.2.4. By Organization Size
        • 10.3.2.2.5. By Industry
    • 10.3.3. UAE Big Data Analytics Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Deployment Mode
        • 10.3.3.2.3. By Application
        • 10.3.3.2.4. By Organization Size
        • 10.3.3.2.5. By Industry
    • 10.3.4. Saudi Arabia Big Data Analytics Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Component
        • 10.3.4.2.2. By Deployment Mode
        • 10.3.4.2.3. By Application
        • 10.3.4.2.4. By Organization Size
        • 10.3.4.2.5. By Industry

11. Asia Pacific Big Data Analytics Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Deployment Mode
    • 11.2.3. By Application
    • 11.2.4. By Organization Size
    • 11.2.5. By Industry
  • 11.3. Asia Pacific: Country Analysis
    • 11.3.1. China Big Data Analytics Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Component
        • 11.3.1.2.2. By Deployment Mode
        • 11.3.1.2.3. By Application
        • 11.3.1.2.4. By Organization Size
        • 11.3.1.2.5. By Industry
    • 11.3.2. Japan Big Data Analytics Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Component
        • 11.3.2.2.2. By Deployment Mode
        • 11.3.2.2.3. By Application
        • 11.3.2.2.4. By Organization Size
        • 11.3.2.2.5. By Industry
    • 11.3.3. South Korea Big Data Analytics Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Component
        • 11.3.3.2.2. By Deployment Mode
        • 11.3.3.2.3. By Application
        • 11.3.3.2.4. By Organization Size
        • 11.3.3.2.5. By Industry
    • 11.3.4. India Big Data Analytics Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Component
        • 11.3.4.2.2. By Deployment Mode
        • 11.3.4.2.3. By Application
        • 11.3.4.2.4. By Organization Size
        • 11.3.4.2.5. By Industry
    • 11.3.5. Australia Big Data Analytics Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Component
        • 11.3.5.2.2. By Deployment Mode
        • 11.3.5.2.3. By Application
        • 11.3.5.2.4. By Organization Size
        • 11.3.5.2.5. By Industry

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends and Developments

14. Voice of Customer

15. Company Profiles

  • 15.1. Accenture Inc.
    • 15.1.1. Business Overview
    • 15.1.2. Key Financials & Revenue
    • 15.1.3. Key Contact Person
    • 15.1.4. Headquarters Address
    • 15.1.5. Key Product/Service Offered
  • 15.2. Teradata Corporation
    • 15.2.1. Business Overview
    • 15.2.2. Key Financials & Revenue
    • 15.2.3. Key Contact Person
    • 15.2.4. Headquarters Address
    • 15.2.5. Key Product/Service Offered
  • 15.3. International Business Machine Corporation
    • 15.3.1. Business Overview
    • 15.3.2. Key Financials & Revenue
    • 15.3.3. Key Contact Person
    • 15.3.4. Headquarters Address
    • 15.3.5. Key Product/Service Offered
  • 15.4. Palantir Technologies Inc.
    • 15.4.1. Business Overview
    • 15.4.2. Key Financials & Revenue
    • 15.4.3. Key Contact Person
    • 15.4.4. Headquarters Address
    • 15.4.5. Key Product/Service Offered
  • 15.5. Amazon Web Services, Inc.
    • 15.5.1. Business Overview
    • 15.5.2. Key Financials & Revenue
    • 15.5.3. Key Contact Person
    • 15.5.4. Headquarters Address
    • 15.5.5. Key Product/Service Offered
  • 15.6. Splunk Inc.
    • 15.6.1. Business Overview
    • 15.6.2. Key Financials & Revenue
    • 15.6.3. Key Contact Person
    • 15.6.4. Headquarters Address
    • 15.6.5. Key Product/Service Offered
  • 15.7. Dell Inc.
    • 15.7.1. Business Overview
    • 15.7.2. Key Financials & Revenue
    • 15.7.3. Key Contact Person
    • 15.7.4. Headquarters Address
    • 15.7.5. Key Product/Service Offered
  • 15.8. Microsoft Corporation
    • 15.8.1. Business Overview
    • 15.8.2. Key Financials & Revenue
    • 15.8.3. Key Contact Person
    • 15.8.4. Headquarters Address
    • 15.8.5. Key Product/Service Offered
  • 15.9. SAP SE
    • 15.9.1. Business Overview
    • 15.9.2. Key Financials & Revenue
    • 15.9.3. Key Contact Person
    • 15.9.4. Headquarters Address
    • 15.9.5. Key Product/Service Offered
  • 15.10. Oracle Corporation
    • 15.10.1. Business Overview
    • 15.10.2. Key Financials & Revenue
    • 15.10.3. Key Contact Person
    • 15.10.4. Headquarters Address
    • 15.10.5. Key Product/Service Offered

16. Strategic Recommendations

17. About Us & Disclaimer