AI Data Management Market Growth Analysis and Size by 2031
预计到 2031 年,AI 数据管理市场规模将从 2023 年的 230.3 亿美元增至 1149.9 亿美元。预计 2023-2031 年市场复合 年增长率将达到 22.3%。工业 4.0 的发展很可能仍是 AI 数据管理市场的关键趋势。
人工智能数据管理市场分析
报告包括考虑当前AI 数据管理市场趋势和影响市场增长的驱动因素的增长前景。AI、ML、NLP 、深度学习和云等先进技术的日益普及正在促进 AI 数据管理市场份额的扩大。在预测期内,对 AI 技术的投资增加以及BFSI和电子商务行业的扩张也有望推动 AI 数据管理市场的增长。AI 和 ML 在采用变革性数据管理解决方案方面的进步正在推动市场的发展。此外,全球消费者越来越多地采用个性化和自适应系统,这可能会为 AI 数据管理市场的增长带来增长机会。
AI数据管理市场概览
AI 数据管理是战略性地、有条不紊地使用 AI 技术来管理企业的数据资产。AI 数据管理软件涵盖了用于有效收集、组织、利用和存储数据的所有准则、程序和技术方法。该技术用于提高数据质量、分析和决策能力,从而增加了企业对 AI 数据管理的需求,并推动了全球 AI 数据管理市场的发展。
定制研究以满足您的需求
我们可以优化和定制标准产品无法满足的分析和范围。这种灵活性将帮助您获得业务规划和决策所需的准确信息。
人工智能数据管理市场:
AI Data Management Market: Strategic Insights
AI Data Management Market
-
![](https://www.theinsightpartners.com/assets/images/rd_int_img/cagr.png)
CAGR (2023 - 2031)
22.3%
-
Market Size 2023
US$ 23.03 Billion
-
Market Size 2031
US$ 114.99 Billion
Market Dynamics
GROWTH DRIVERS
- 基于人工智能和机器学习的数据管理软件的进步
- 主要市场参与者之间的合作和收购激增
- BFSI 行业的扩张和金融交易的增加
FUTURE TRENDS
- 实时数据处理
OPPORTUNITIES
- 消费者越来越多地采用个性化和自适应系统,对人工智能技术的投资不断增加
Key Players
- Microsoft Corp
- Amazon Web Services Inc
- Alphabet Inc
- Oracle Corp
- International Business Machines Corp
- Salesforce Inc
- SAP SE
- Hewlett Packard Enterprise Development LP
- SAS Institute Inc
- Snowflake Inc
Regional Overview
- 北美(美国、加拿大、墨西哥)
- 亚太地区(中国、日本、韩国、印度、澳大利亚、亚太地区其他地区)
- 欧洲(德国、法国、英国、意大利、俄罗斯、欧洲其他地区)
- 中东和非洲(沙特阿拉伯、阿联酋、南非、中东和非洲其他地区)
- 南美洲和中美洲(巴西、阿根廷、南美洲和中美洲其他地区)
Market Segmentation
产品(解决方案和服务)
部署(本地和云端)
技术(机器学习、自然语言处理
- NLP、计算机视觉和情境感知计算)
垂直行业(BFSI、零售和电子商务、IT 和电信、医疗保健、政府、其他)
AI Data Management Market: Strategic Insights
-
CAGR (2023 - 2031)22.3% -
Market Size 2023
US$ 23.03 Billion -
Market Size 2031
US$ 114.99 Billion
![](https://www.theinsightpartners.com/assets/images/rd_int_img/tip-logo.jpg)
Market Dynamics
- 基于人工智能和机器学习的数据管理软件的进步
- 主要市场参与者之间的合作和收购激增
- BFSI 行业的扩张和金融交易的增加
- 实时数据处理
- 消费者越来越多地采用个性化和自适应系统,对人工智能技术的投资不断增加
Key Players
- Microsoft Corp
- Amazon Web Services Inc
- Alphabet Inc
- Oracle Corp
- International Business Machines Corp
- Salesforce Inc
- SAP SE
- Hewlett Packard Enterprise Development LP
- SAS Institute Inc
- Snowflake Inc
Regional Overview
![](https://www.theinsightpartners.com/assets/images/rd_int_img/ig-regional.png)
- 北美(美国、加拿大、墨西哥)
- 亚太地区(中国、日本、韩国、印度、澳大利亚、亚太地区其他地区)
- 欧洲(德国、法国、英国、意大利、俄罗斯、欧洲其他地区)
- 中东和非洲(沙特阿拉伯、阿联酋、南非、中东和非洲其他地区)
- 南美洲和中美洲(巴西、阿根廷、南美洲和中美洲其他地区)
Market Segmentation
![](https://www.theinsightpartners.com/assets/images/rd_int_img/cust_bullet_danger.png)
![](https://www.theinsightpartners.com/assets/images/rd_int_img/cust_bullet_warning.png)
![](https://www.theinsightpartners.com/assets/images/rd_int_img/cust_bullet_primary.png)
- NLP、计算机视觉和情境感知计算)
![](https://www.theinsightpartners.com/assets/images/rd_int_img/cust_bullet_warning.png)
复合年增长率(2023 - 2031)22.3%- 2023 年市场规模
230.3 亿美元 - 2031年市场规模
1149.9亿美元
![](https://www.theinsightpartners.com/assets/images/rd_int_img/tip-logo.jpg)
市场动态
- 基于人工智能和机器学习的数据管理软件的进步
- 主要市场参与者之间的合作与收购激增
- BFSI行业的扩张和金融交易的增加
- 实时数据处理
- 消费者越来越多地采用个性化和自适应系统,对人工智能技术的投资不断增加
关键人物;主力;重要一员
- 微软公司
- 亚马逊网络服务公司
- Alphabet 公司
- 甲骨文公司
- 国际商业机器公司
- Salesforce公司
- 思爱普
- 惠普企业发展有限公司
- SAS 研究所
- 雪花公司
区域概况
![](https://www.theinsightpartners.com/assets/images/rd_int_img/ig-regional.png)
- 北美
- 亚太地区
- 欧洲
- 中东和非洲
- 南美洲和中美洲
市场细分
![](https://www.theinsightpartners.com/assets/images/rd_int_img/cust_bullet_danger.png)
- 解决方案与服务
![](https://www.theinsightpartners.com/assets/images/rd_int_img/cust_bullet_warning.png)
- 本地和云
![](https://www.theinsightpartners.com/assets/images/rd_int_img/cust_bullet_primary.png)
- 机器学习
- 自然语言处理
![](https://www.theinsightpartners.com/assets/images/rd_int_img/cust_bullet_warning.png)
- 金融保险业协会
- 零售和电子商务
- 信息技术和电信
- 卫生保健
- 政府
- 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。
人工智能数据管理市场驱动因素和机遇
人工智能和基于机器学习的数据管理软件的进步推动了人工智能数据管理市场的增长
人工智能和机器学习技术的不断发展增加了消费者对有效管理组织数据的需求。人工智能的复杂功能为企业提供了强大的工具,可以从收集的数据中生成详细的见解。将人工智能和机器学习集成到数据管理程序中被视为管理和解决与数据分析、处理和决策相关的复杂性的革命性因素。2023 年 5 月,国际商业机器公司推出了 Watsonx 平台,帮助企业管理和完全控制其数据。Watsonx 平台与机器学习算法集成,允许组织收集和清理数据。人工智能和机器学习算法有助于自动化和优化数据管理操作。这些技术用于以超出人类能力的更快速度优化大型数据集,从而提高数据集成、分类和清理等数据管理任务的生产力。人工智能驱动的自动化数据管理可帮助企业显着降低出错的可能性,减少与手动流程相关的工作量,并确保数据驱动见解的可靠性和准确性。因此,基于人工智能和机器学习的数据管理软件的进步推动了市场的发展。
人工智能数据管理市场报告细分分析
有助于得出人工智能数据管理市场分析的关键部分是产品、部署、技术和垂直行业。
- 根据技术,AI数据管理市场分为机器学习、自然语言处理(NLP)、计算机视觉和情境感知计算。情境感知计算领域在2023年占据了更大的市场份额。
- 由于全球消费者的广泛采用,情境感知计算领域预计将在预测期内录得最高的复合年增长率。
- 情境感知技术是指系统根据情境动态调整其行为。这可让用户做出更相关、更细致的决策。情境感知计算使用算法根据各种情境输入(如时间、地点、用户行为和环境数据)解释和修改数据反应。情境感知计算考虑情境中数据的重要性,以改进分析和决策,进而改进数据的使用和解释。
- 然而,各行各业都对情境感知计算有着很高的需求,它利用情境数据来改进数据管理程序和结果,预计这将在预测期内推动市场增长。
人工智能数据管理市场份额(按地区)分析
AI数据管理市场报告的地理范围主要分为五个地区:北美、亚太、欧洲、中东和非洲、南美/南美和中美。
欧洲 AI 数据管理市场分为德国、法国、意大利、英国、俄罗斯和欧洲其他地区。由于数字化程度不断提高以及对 AL、ML、深度学习和 NLP 等先进技术的需求不断增加,预计德国市场将在预测期内扩大。例如,根据 ifo 研究所的数据,2023 年 8 月,13.3% 的德国公司已在其业务中部署了 AI 技术,9.2% 的公司计划在其业务中使用该技术来简化数据管理流程。基于 AI 的系统支持公司处理大量数据并通过自动数据分析做出快速决策。预计这些因素将在预测期内为欧洲 AI 数据管理市场增长创造丰厚的机会。
人工智能数据管理市场新闻和最新发展
通过收集一手和二手研究后的定性和定量数据来评估 AI 数据管理市场,其中包括重要的公司出版物、协会数据和数据库。以下是 AI 数据管理和策略市场的发展列表:
- 2023 年 11 月,亚马逊网络服务公司 (Amazon Web Services Inc) 在 Amazon DataZone 中推出了一项基于生成人工智能的创新功能。生成人工智能的功能通过改进业务数据目录来帮助增强数据发现、利用和理解。
- 2023 年 11 月,Databricks Inc 收购了 Arcion,以提供原生解决方案。Databricks Inc 使用 Arcion 的实时数据复制技术,以促进从不同数据库和 SaaS 应用程序中提取和无缝复制数据。
- 2023 年 9 月,Oracle 公司推出了 Fusion 数据智能平台,以协助使用 Oracle Fusion 云应用程序的客户。该平台代表了尖端数据、Al 平台和分析,可帮助用户将以数据为中心的洞察力与智能决策相结合,以实现卓越的业务。
- 2023 年 5 月,微软公司推出了 Microsoft Fabric,帮助组织简化数据和分析工具。Microsoft Fabric 帮助组织将众多解决方案与 Power BI、Azure Synapse Analytics 和 Azure Data Factory 等技术集成在一起,形成统一的产品。Microsoft Fabric 使数据和业务专家能够通过使用 AI 充分利用他们的数据,并简化与数据相关的工作流程。
- 2023 年 5 月,QlikTech International AB 收购了 Talend,以扩大其为现代企业管理、处理、分析和处理数据的能力。QlikTech International AB 与 Talend 之间的合作加强了应用程序连接、数据转换、API 服务和质量保证等众多领域。
人工智能数据管理市场报告范围
报告属性 | 细节 |
---|---|
2023 年的市场规模 | 230.3亿美元 |
2031 年市场规模 | 1149.9亿美元 |
全球复合年增长率(2023 - 2031) | 22.3% |
历史数据 | 2021-2022 |
预测期 | 2024-2031 |
涵盖的领域 | 通过奉献
|
覆盖地区和国家 | 北美
|
市场领导者和主要公司简介 |
|
- 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。
人工智能数据管理市场报告覆盖范围和交付成果
“AI 数据管理市场规模和预测(2021-2031 年)”报告对以下领域进行了详细的市场分析:
- 范围内所有主要细分市场的全球、区域和国家层面的市场规模和预测
- 市场动态,如驱动因素、限制因素和关键机遇
- 未来主要趋势
- 详细的 PEST/波特五力分析和 SWOT 分析
- 全球和区域市场分析涵盖关键市场趋势、主要参与者、法规和最新市场发展
- 行业格局和竞争分析,涵盖市场集中度、热点图分析、知名参与者和最新发展
- 详细的公司简介
AI Data Management Market Report Scope
Report Attribute | Details |
---|---|
Market size in | US$ 23.03 Billion |
Market Size by | US$ 114.99 Billion |
Global CAGR | 22.3% |
Historical Data | 2021-2022 |
Forecast period | 2024-2031 |
Segments Covered |
By 产品(解决方案和服务)
|
Regions and Countries Covered |
北美(美国、加拿大、墨西哥)
|
Market leaders and key company profiles |
|
![Report Coverage](https://www.theinsightpartners.com/assets/rdimages/report_coverage.png)
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
![Segment Covered](https://www.theinsightpartners.com/assets/rdimages/segment_covered.png)
Segment Covered
This text is related
to segments covered.
![Regional Scope](https://www.theinsightpartners.com/assets/rdimages/regional_scope.png)
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
![Country Scope](https://www.theinsightpartners.com/assets/rdimages/country_scope.png)
Country Scope
This text is related
to country scope.
Frequently Asked Questions
The estimated global market size for the AI data management market in 2023 is expected to be around US$ 23,030.62 million.
BFSI segment is expected to hold a major market share of AI data management market in 2023.
The global market size of AI data management market by 2031 will be around US$ US$ 114,986.49 million.
Japan, China, and India expected to register high growth rate during the forecast period.
The US is expected to hold a major market share of AI data management market in 2023.
Real-time Data Processing are anticipated to play a significant role in the AI data management market in the coming years.
Asia Pacific is expected to register highest CAGR in the AI data management market during the forecast period (2024-2031)
Microsoft Corp, Amazon Web Services Inc, Alphabet Inc, Oracle Corp, International Business Machines Corp, Salesforce Inc, SAP SE, Hewlett Packard Enterprise Development LP, SAS Institute Inc, and Snowflake Inc. are the key market players expected to hold a major market share of AI data management market in 2023.
The AI data management market is expected to register an incremental growth value of US$ 91,956.49 million during the forecast period.
The List of Companies - AI Data Management Market
- Microsoft Corp
- Alphabet Inc
- Oracle Corp
- International Business Machines Corp
- Salesforce Inc
- SAP SE
- Hewlett Packard Enterprise Co
- SAS Institute Inc
- Snowflake Inc
- Amazon.com Inc
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- 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.
- 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:
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.
- 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.
- 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.