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全球自主数据平台市场:预测至2028年——按组件(服务和平台)、部署(云端,本地)、企业(SME,企业)、最终用户,地区分析
市场调查报告书
商品编码
1218895

全球自主数据平台市场:预测至2028年——按组件(服务和平台)、部署(云端,本地)、企业(SME,企业)、最终用户,地区分析

Autonomous Data Platform Market Forecasts to 2028 - Global Analysis By Component (Services and Platform), Deployment (Cloud and On-premises), Enterprise (Small and Medium Enterprise (SME) and Large Enterprise), End User and Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC，2022年全球自主数据平台市场规模将达到9.6963亿美元，2028年将达到36.6351亿美元，预测期内预计将以复合年增长率24.8%成长。

自主数据工具检查特定客户的大数据基础架构，以解决关键业务问题并确保最佳数据库利用率。 一个自我管理和优□□化的数据和分析平台，利用多个认知计算平台，如 AI 和机器学习 (ML)。 结合启发式和机器学习，为用户提供洞察力、可操作的警报和建议，以实现更高的性能、工作负载连续性和成本节约。 它提高了操作效率并简化了程序。

根据 Salesforce 最新的购物指数，电子商务在 2018 年第四季度同比增长 13%，预计到 2020 年零售电子商务销售额将超过 4 万亿美元。

市场动态

促进因素

新时代的企业正在采用私有云和混合云

由于新时代企业组织的云利用趋势以及企业数据存储的增加，主要是在混合云端和公共云端中，自主数据平台的使用在基于云的企业中持续增长。 此外，与传统企业数据仓库系统相比，自治数据平台提供了更多方式来更安全、更快速地探索、共享和集成关键数据。

抑制因素

自治数据基础架构的高成本

随着技术的进步，企业的期望也在进步。 因此，这些公司经常更新他们基于云端和以客户为中心的解决方案，以满足他们的客户数据收集、分析和分类要求。 此外，企业将不得不进行大量投资以采用基于云的自主数据平台，这可能会限制预测期内对这些平台的需求。

机会

对自主数据平台优势的认识不断提高

自主数据平台可让您加密数据、跟踪工作负载并监控任何试图访问您数据的实体。 因此，这些平台使企业可以使用数据，而不必担心不合适的环境会导致监管或声誉受损。 此外，这些系统提供了极大的灵活性，允许企业根据便利性和要求增加或减少容量。

威胁

专业人员短缺

存在阻碍市场扩展的限制和困难，例如復杂且昂贵的集成、有限的支持和定制。 市场限制可能是由于缺乏高素质工人和困难的分析程序等因素造成的。 然而，困难的分析方法、缺乏合格和训练有素的人员以及与质量和安全之间的平衡有关的问题阻碍了市场的扩展。

COVID-19 的影响

COVID-19 大流行的爆发影响了自主数据平台市场，预计该行业的增长将在大流行后得到推动。 这是由于全球 COVID-19 感染率上升，以及公司采用在家工作模式来保护员工免受致命病毒的侵害。 因此，许多公司都在大力投资自主数据平台解决方案，以简化其整体业务运营并提高生产力。 此外，大流行期间网络依赖性和网络负载的增加将推动自主数据平台行业的扩张。

预计在预测期内云端部分将是最大的部分

据估计，云端部分的增长利润丰厚。 由于基于云端的解决方案的灵活性和成本效益，用户更可能喜欢并采用它们。 云端计算平台提供高可扩展性、低入门成本和持续发展。 部署基于云端的解决方案通过其虚拟环境简化了服务交付，使组织能够随时从互连设备访问信息。 用户无需将数据本地存储在设备上，而是可以通过网路将其上传到链接的设备。 云端采用带来的这些优势将推动该细分市场的增长。

预计在预测期内，中小企业部门的复合年增长率最高。

由于对机器学习等先进技术的投资增加、AI 技术的应用扩大以及数位支付系统的使用增加，预计在预测期内，中小企业细分市场将以最快的复合年增长率增长。 由于数量不断增加，预计中小型组织将增加对独立数据结构的需求。 随着机器学习和人工智能被更频繁地用于改进决策制定，自主数据平台市场将会增长。

份额最高的地区

在采用尖端技术和基于云端的解决方案方面，北美被认为是最先进的地区，因为它拥有加拿大和美国等最发达的经济体，因此预计将占据最大的市场份额. 在北美，越来越多地使用手机和互联网正在推动该行业的显着增长。 此外，越来越多地使用智能手机和数字网站与业务合作伙伴和客户互动，也有助于该地区的市场扩张。

复合年增长率最高的地区

由于越来越多地使用人工智能和机器学习来支持决策制定，预计亚太地区在预测期内的复合年增长率最高。 此外，组织将来自多个来源的客户数据合併到统一平台的能力减少了计算工作时间，推动了对自主数据平台的需求。 由于为提高这些平台的能力而增加的研发活动支出，自主数据平台业务有望看到新的增长前景。 因此，预计在预测期内，亚太地区的自治数据库平台势头强劲。

主要发展

2021 年 9 月，Alteryx 与机器人过程自动化软件公司 UiPath 建立了合作伙伴关係。 通过此次合作，两家公司共同开发了一种新的连接器，允许 Alteryx 用户调用 UiPath 机器人并将 UiPath 的 RPA 功能集成到他们的工作流程中。

2021 年 1 月，Alteryx 与 Snowflake 合作开发数据云端。 该合作伙伴关係将把 Alteryx 的分析自动化和数据科学功能集成到 Snowflake 平台中。 这种集成将为客户提供自动化数据管道、快速数据处理和大规模加速分析结果。

2020 年 12 月，AWS 与 BlackBerry 的子公司 BlackBerry QNX 建立了合作伙伴关係。 通过此次合作，两家公司将共同打造智能汽车数据平台 BlackBerry IVY。 此外，BlackBerry IVY 是一个可扩展的云连接软件平台，使汽车製造商能够在车辆本地和云端安全地读取、集中并持续提供来自车辆传感器数据的可操作见解。

2020 年 10 月，IBM 与美国跨国集团控股公司 AT&T 结盟。 通过此次合作，两家公司推出了混合云，以更好地管理低延迟私有蜂窝网络边缘环境中的开放式混合云计算。

2020 年 2 月，Oracle 宣布推出 Oracle 云数据科学平台。 其核心是 Oracle Cloud Infrastructure Data Science，可帮助企业协作构建、训练、管理和部署机器学习模型，以提高其数据科学项目、共享项目、模型目录以及安全策略、可重复性等团队功能的成功率和可审计性，以帮助提高数据科学团队的效率。

2019 年 6 月，Qubole 宣布了一个自助服务平台，供数据科学家和工程师在他们选择的公共云上构建人工智能、机器学习和分析流程。

2019 年 4 月，MapR 宣布了 MapR 数据平台的创新，包括与 Kubernetes 关键组件的新深度集成，用于 Spark 和 Drill 上的关键工作负载。 由于这项创新，该平台可以更好地管理高弹性的工作负载。

本报告的内容

  • 评估区域和国家级细分市场的市场份额
  • 向新进入者提出战略建议
  • 2020、2021、2022、2025 和 2028 年的综合市场数据
  • 涵盖市场趋势（市场促进因素、促进因素、机遇、威胁、挑战、投资机会、建议）
  • 根据市场预测在关键业务领域提出战略建议
  • 竞争格局映射主要共同趋势
  • 公司简介，包括详细的战略、财务状况和近期发展
  • 映射最新技术进步的供应链趋势

免费定制服务

订阅此报告的客户将免费获得以下自定义选项之一。

  • 公司简介
    • 其他市场参与者的综合概况（最多 3 家公司）
    • 主要参与者的 SWOT 分析（最多 3 家公司）
  • 区域细分
    • 根据客户要求对主要国家/地区的市场进行估算、预测和復合年增长率（注意：基于可行性检查。）
  • 竞争基准
    • 根据产品组合、地域分布和战略联盟对主要参与者进行基准测试

目次

第 1 章执行摘要

第 2 章前言

  • 概览
  • 利益相关者
  • 调查范围
  • 调查方法
    • 数据挖掘
    • 数据分析
    • 数据验证
    • 研究方法
  • 调查来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 假设

第 3 章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第 4 章波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 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 5 章全球自主数据平台市场：按组件分类

  • 服务
    • 咨询
    • 支持和维护
    • 整合
  • 平台

第 6 章全球自主数据平台市场：按部署

  • 云端
  • 本机

第 7 章全球自主数据平台市场：按公司分类

  • 中小型企业 (SME)
  • 大企业

第 8 章全球自主数据平台市场：最终用户

  • 银行、金融服务和保险 (BFSI)
  • 医疗保健和生命科学
  • 媒体和传播
  • 零售和消费品
  • 其他最终用户
    • 能源和公用事业
    • 旅游和款待
    • 运输/物流

第 9 章全球自主数据平台市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 意大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 新西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 卡塔尔
    • 南非
    • 其他中东地区

第 10 章主要发展

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

第 11 章公司简介

  • Oracle Corporation
  • Hewlett Packard Enterprise Development LP
  • Amazon Web Services, Inc.
  • Teradata
  • IBM
  • Denodo Technologies
  • Alteryx, Inc.
  • Gemini Data
  • Cloudera, Inc.
  • Qubole, Inc.
  • Paxata, Inc.
  • Zaloni Inc.
  • Ataccama Corporation
  • MapR Technologies, Inc.
  • Intellias Ltd.
Product Code: SMRC22431

According to Stratistics MRC, the Global Autonomous Data Platform Market is accounted for $969.63 million in 2022 and is expected to reach $3663.51 million by 2028 growing at a CAGR of 24.8% during the forecast period. The autonomous data tool examines a specific customer's big data infrastructure in order to address critical business issues and assure optimal database utilisation. It is a data and analytics platform that manages and optimises itself by leveraging multiple cognitive computing platforms such as AI and Machine Learning (ML). It provides insights, actionable alerts, and recommendations to users by combining heuristics with machine learning, resulting in high performance, workload continuity, and cost savings. It improves operating efficiency and simplifies the procedure.

According to the most contemporary Shopping Index of Salesforce, digital commerce grew at a rate of 13% year-over-year in Q4 2018, and projected retail e-commerce sales exceeding USD 4 trillion through 2020.

Market Dynamics:

Driver:

New-age enterprises are witnessing higher adoption of private and hybrid cloud

Because of the developing trends of cloud application in new-age businesses organisations, and storage of enterprise data primarily in hybrid and public clouds, the applications of autonomous data platforms are continually increasing in cloud-based businesses. Furthermore, autonomous data platforms offer numerous means for examining, sharing, and integrating essential data more securely and quickly than traditional enterprise data warehouse systems.

Restraint:

High cost of autonomous data platforms

Companies' expectations are rising as a result of technological advancements. As a result, these businesses frequently update their cloud-based and customer-centric solutions to meet the requirements of gathering, analyzing, and sorting their customers' data. Furthermore, firms must make significant investments to adopt cloud-based and autonomous data platforms, which may limit demand for these platforms during the forecasted period.

Opportunity:

Growing awareness about the benefits of autonomous data platforms

The autonomous data platforms can encrypt data, track workloads, and monitor any entity that attempts to access the data. As a result, these platforms let businesses to use data without having to worry about regulatory or reputational damage from an improper environment. Furthermore, these systems provide exceptional flexibility, allowing businesses to grow or decrease capacity based on convenience and requirements.

Threat:

Lack of skilled professionals

Complex and costly integration, as well as restricted support and customization are some limitations and difficulties that can impede market expansion. Market limitations may be caused by things like a shortage of highly qualified workers and challenging analytical procedures. However, difficult analytical methods, a lack of competent and trained personnel, and issues connected with striking a balance between quality and safety are impeding market expansion.

COVID-19 Impact

The breakout of the COVID-19 pandemic has had an impact on the market for an autonomous data platform, and the sector's growth is projected to be driven post-pandemic. This is due to the increasing transmission rate of COVID-19 over the world, as well as the companies' use of work-from-home models to protect their employees from the deadly virus. As a result, many businesses have made significant investments in autonomous data platform solutions to streamline and boost productivity throughout their business activities. Furthermore, the rise in network dependency and network load during the pandemic time will boost the expansion of the autonomous data platform industry.

The cloud segment is expected to be the largest during the forecast period

The cloud segment is estimated to have a lucrative growth, due to the flexibility and cost-effectiveness of cloud-based solutions, users are more likely to prefer and adopt them. Cloud computing platforms provide for greater scalability, lower implementation costs, and continuous development. Implementing cloud-based solutions simplifies service delivery due to its virtual environment, which allows organisations to access information across interconnected devices at any time. Users can upload data to linked devices across a network rather than saving it locally on devices. These advantages provided by cloud adoption will boost segment growth.

The small and medium size enterprises segment is expected to have the highest CAGR during the forecast period

The small and medium size enterprises segment is anticipated to witness the fastest CAGR growth during the forecast period, due to the increase in investments in advanced techniques such as machine learning, expanding application of AI technology, and rising usage of digital payment systems. Because of increased volume, small and medium-sized organisations are expected to expand their demand for self-contained data structures. The autonomous data platform market will grow as machine learning and AI are used more frequently to improve decision-making.

Region with highest share:

North America is projected to hold the largest market share during the forecast period, because the region is home to the most developed economies, such as Canada and the United States, it is regarded as the most advanced region in terms of embracing cutting-edge technologies and cloud-based solutions. The increasing use of mobile phones and the internet in North America is driving significant industry growth. Furthermore, the increased use of smart phones and digital networking sites to engage with business partners and clients is helping the region's market expansion.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period, owing to the increasing use of AI and machine learning to assist decision-making. Furthermore, the capacity of organisations to merge client data from multiple sources onto an uniform platform, decreasing hours of computing effort, is facilitating the demand for autonomous data platforms. Because of increasing expenditures in R&D activities to improve the capabilities of these platforms, the autonomous data platform business is anticipated to see new growth prospects. As a result, over the forecast period, the Asia Pacific area is likely to have strong momentum for autonomous database platforms.

Key players in the market

Some of the key players profiled in the Autonomous Data Platform Market include Oracle Corporation, Hewlett Packard Enterprise Development LP, Amazon Web Services, Inc., Teradata, IBM, Denodo Technologies, Alteryx, Inc., Gemini Data, Cloudera, Inc., Qubole, Inc., Paxata, Inc., Zaloni Inc., Ataccama Corporation, MapR Technologies, Inc. and Intellias Ltd.

Key Developments:

In September 2021, Alteryx formed a partnership with UiPath, a software company for robotic process automation. Through this partnership, the two companies jointly developed a new connector that allows Alteryx users to call out to UiPath bots and integrate UiPath's RPA capabilities into their workflows.

In January, 2021, Alteryx partnered with Snowflake, the Data Cloud company. Under this partnership, the analytics automation and data science capabilities of Alteryx would be integrated into Snowflake's platform. This integration would offer customers automated data pipelining, rapid data processing, and speed analytics outcomes at scale.

In December 2020, AWS came into a partnership with BlackBerry QNX, a subsidiary of BlackBerry. Through this partnership, the two companies would jointly create BlackBerry IVY, an Intelligent Vehicle Data Platform. Moreover, BlackBerry IVY can be defined as a scalable, cloud-connected software platform that enables automobile manufacturers to offer a constant and safe way to read vehicle sensor data, centralize it, and develop actionable insights from that data both locally in the vehicle and in the cloud.

In October 2020, IBM joined hands with AT&T, an American multinational conglomerate holding company. Through this collaboration, the two companies introduced Hybrid Cloud in order to help the companies better manage open hybrid cloud computing in a low-latency, private cellular network edge environment.

In Feb 2020, Oracle announced the availability of the Oracle Cloud Data Science Platform. At the core is Oracle Cloud Infrastructure Data Science, helping enterprises to collaboratively build, train, manage and deploy machine learning models to increase the success of data science projects, helping improve the effectiveness of data science teams with capabilities like shared projects, model catalogs, team security policies, reproducibility and auditability.

In June 2019, Qubole introduced a self-service platform for data scientists and engineers to construct AI, machine learning, and analytics processes on their preferred public cloud.

In April 2019, MapR announced new MapR Data Platform innovations including new, deep integrations with Kubernetes key components for primary workloads on Spark and Drill. The platform was able to better manage extremely elastic workloads as a result of this innovation.

Components Covered:

  • Services
  • Platform

Deployments Covered:

  • Cloud
  • On-premises

Enterprises Covered:

  • Small and Medium Enterprise (SME)
  • Large Enterprise

End Users Covered:

  • Banking, Financial Services and Insurance (BFSI)
  • Healthcare and Life Sciences
  • Media and Telecommunication
  • Retail and Consumer Goods
  • 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 2020, 2021, 2022, 2025, and 2028
  • 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 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 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 Autonomous Data Platform Market, By Component

  • 5.1 Introduction
  • 5.2 Services
    • 5.2.1 Advisory
    • 5.2.2 Support and Maintenance
    • 5.2.3 Integration
  • 5.3 Platform

6 Global Autonomous Data Platform Market, By Deployment

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-premises

7 Global Autonomous Data Platform Market, By Enterprise

  • 7.1 Introduction
  • 7.2 Small and Medium Enterprise (SME)
  • 7.3 Large Enterprise

8 Global Autonomous Data Platform Market, By End User

  • 8.1 Introduction
  • 8.2 Banking, Financial Services and Insurance (BFSI)
  • 8.3 Healthcare and Life Sciences
  • 8.4 Media and Telecommunication
  • 8.5 Retail and Consumer Goods
  • 8.6 Other End Users
    • 8.6.1 Energy & Utilities
    • 8.6.2 Travel & Hospitality
    • 8.6.3 Transportation & Logistics

9 Global Autonomous Data Platform Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Oracle Corporation
  • 11.2 Hewlett Packard Enterprise Development LP
  • 11.3 Amazon Web Services, Inc.
  • 11.4 Teradata
  • 11.5 IBM
  • 11.6 Denodo Technologies
  • 11.7 Alteryx, Inc.
  • 11.8 Gemini Data
  • 11.9 Cloudera, Inc.
  • 11.10 Qubole, Inc.
  • 11.11 Paxata, Inc.
  • 11.12 Zaloni Inc.
  • 11.13 Ataccama Corporation
  • 11.14 MapR Technologies, Inc.
  • 11.15 Intellias Ltd.

List of Tables

  • 1 Global Autonomous Data Platform Market Outlook, By Region (2020-2028) ($MN)
  • 2 Global Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
  • 3 Global Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
  • 4 Global Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
  • 5 Global Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
  • 6 Global Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
  • 7 Global Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
  • 8 Global Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
  • 9 Global Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
  • 10 Global Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
  • 11 Global Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
  • 12 Global Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
  • 13 Global Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
  • 14 Global Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
  • 15 Global Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
  • 16 Global Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
  • 17 Global Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
  • 18 Global Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
  • 19 Global Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
  • 20 Global Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
  • 21 Global Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
  • 22 Global Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
  • 23 North America Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
  • 24 North America Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
  • 25 North America Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
  • 26 North America Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
  • 27 North America Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
  • 28 North America Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
  • 29 North America Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
  • 30 North America Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
  • 31 North America Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
  • 32 North America Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
  • 33 North America Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
  • 34 North America Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
  • 35 North America Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
  • 36 North America Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
  • 37 North America Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
  • 38 North America Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
  • 39 North America Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
  • 40 North America Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
  • 41 North America Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
  • 42 North America Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
  • 43 North America Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
  • 44 North America Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
  • 45 Europe Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
  • 46 Europe Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
  • 47 Europe Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
  • 48 Europe Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
  • 49 Europe Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
  • 50 Europe Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
  • 51 Europe Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
  • 52 Europe Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
  • 53 Europe Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
  • 54 Europe Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
  • 55 Europe Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
  • 56 Europe Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
  • 57 Europe Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
  • 58 Europe Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
  • 59 Europe Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
  • 60 Europe Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
  • 61 Europe Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
  • 62 Europe Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
  • 63 Europe Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
  • 64 Europe Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
  • 65 Europe Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
  • 66 Europe Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
  • 67 Asia Pacific Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
  • 68 Asia Pacific Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
  • 69 Asia Pacific Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
  • 70 Asia Pacific Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
  • 71 Asia Pacific Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
  • 72 Asia Pacific Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
  • 73 Asia Pacific Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
  • 74 Asia Pacific Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
  • 75 Asia Pacific Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
  • 76 Asia Pacific Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
  • 77 Asia Pacific Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
  • 78 Asia Pacific Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
  • 79 Asia Pacific Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
  • 80 Asia Pacific Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
  • 81 Asia Pacific Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
  • 82 Asia Pacific Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
  • 83 Asia Pacific Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
  • 84 Asia Pacific Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
  • 85 Asia Pacific Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
  • 86 Asia Pacific Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
  • 87 Asia Pacific Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
  • 88 Asia Pacific Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
  • 89 South America Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
  • 90 South America Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
  • 91 South America Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
  • 92 South America Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
  • 93 South America Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
  • 94 South America Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
  • 95 South America Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
  • 96 South America Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
  • 97 South America Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
  • 98 South America Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
  • 99 South America Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
  • 100 South America Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
  • 101 South America Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
  • 102 South America Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
  • 103 South America Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
  • 104 South America Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
  • 105 South America Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
  • 106 South America Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
  • 107 South America Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
  • 108 South America Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
  • 109 South America Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
  • 110 South America Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)
  • 111 Middle East & Africa Autonomous Data Platform Market Outlook, By Country (2020-2028) ($MN)
  • 112 Middle East & Africa Autonomous Data Platform Market Outlook, By Component (2020-2028) ($MN)
  • 113 Middle East & Africa Autonomous Data Platform Market Outlook, By Services (2020-2028) ($MN)
  • 114 Middle East & Africa Autonomous Data Platform Market Outlook, By Advisory (2020-2028) ($MN)
  • 115 Middle East & Africa Autonomous Data Platform Market Outlook, By Support and Maintenance (2020-2028) ($MN)
  • 116 Middle East & Africa Autonomous Data Platform Market Outlook, By Integration (2020-2028) ($MN)
  • 117 Middle East & Africa Autonomous Data Platform Market Outlook, By Platform (2020-2028) ($MN)
  • 118 Middle East & Africa Autonomous Data Platform Market Outlook, By Deployment (2020-2028) ($MN)
  • 119 Middle East & Africa Autonomous Data Platform Market Outlook, By Cloud (2020-2028) ($MN)
  • 120 Middle East & Africa Autonomous Data Platform Market Outlook, By On-premises (2020-2028) ($MN)
  • 121 Middle East & Africa Autonomous Data Platform Market Outlook, By Enterprise (2020-2028) ($MN)
  • 122 Middle East & Africa Autonomous Data Platform Market Outlook, By Small and Medium Enterprise (SME)(2020-2028) ($MN)
  • 123 Middle East & Africa Autonomous Data Platform Market Outlook, By Large Enterprise (2020-2028) ($MN)
  • 124 Middle East & Africa Autonomous Data Platform Market Outlook, By End User (2020-2028) ($MN)
  • 125 Middle East & Africa Autonomous Data Platform Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
  • 126 Middle East & Africa Autonomous Data Platform Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
  • 127 Middle East & Africa Autonomous Data Platform Market Outlook, By Media and Telecommunication (2020-2028) ($MN)
  • 128 Middle East & Africa Autonomous Data Platform Market Outlook, By Retail and Consumer Goods (2020-2028) ($MN)
  • 129 Middle East & Africa Autonomous Data Platform Market Outlook, By Other End Users (2020-2028) ($MN)
  • 130 Middle East & Africa Autonomous Data Platform Market Outlook, By Energy & Utilities (2020-2028) ($MN)
  • 131 Middle East & Africa Autonomous Data Platform Market Outlook, By Travel & Hospitality (2020-2028) ($MN)
  • 132 Middle East & Africa Autonomous Data Platform Market Outlook, By Transportation & Logistics (2020-2028) ($MN)