Global Data Mining Tools Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2023 –2030 |
 Market Size (Base Year) |
USD 832.19 Million |
 Market Size (Forecast Year) |
USD 2,045.79 Million |
 CAGR |
% |
| Major Markets Players |
|
>全球数据挖掘工具市场，按组件（工具和服务）、服务（托管服务、咨询和实施等）、业务功能（营销、财务、供应链和物流和运营）、垂直行业（零售、银行、金融服务和保险、医疗保健和生命科学、电信和 IT、政府和国防、能源和公用事业、制造业等）、部署类型（内部部署和云）、组织规模（大型企业和中小型企业）划分 - 行业趋势和预测到 2030 年。
数据挖掘工具市场分析和规模
银行、流程制造、营销和持续数字化转型等不同组织的数据生成、数据挖掘和数据存储的增长将在预测期内促进市场增长。数据挖掘可帮助营销公司根据过去的数据创建原型，以计算适当的结果，展示新的营销业务，例如直邮、在线营销业务等，并确保营销人员拥有一种精确的方法，为目标客户提供个性化产品。
Data Bridge Market Research 分析，数据挖掘工具市场预计到 2030 年将达到 20.4579 亿美元，到 2022 年将达到 8.3219 亿美元，预测期内复合年增长率为 11.90%。除了市场价值、增长率、细分市场、地理覆盖范围、市场参与者和市场情景等市场洞察外，Data Bridge Market Research 团队策划的市场报告还包括深入的专家分析、进出口分析、定价分析、生产消费分析和 pestle 分析。
数据挖掘工具市场范围和细分
|
报告指标 |
细节 |
|
预测期 |
2023 至 2030 年 |
|
基准年 |
2022 |
|
历史岁月 |
2021（可定制为 2015 - 2020） |
|
定量单位 |
收入（百万美元）、销量（单位）、定价（美元） |
|
涵盖的领域 |
组件（工具和服务）、服务（托管服务、咨询和实施等）、业务功能（营销、财务、供应链和物流以及运营）、垂直行业（零售、银行、金融服务和保险、医疗保健和生命科学、电信和 IT、政府和国防、能源和公用事业、制造业等）、部署类型（本地和云）、组织规模（大型企业和中小型企业） |
|
覆盖国家 |
北美洲的美国、加拿大和墨西哥、德国、法国、英国、荷兰、瑞士、比利时、俄罗斯、意大利、西班牙、土耳其、欧洲其他地区、中国、日本、印度、韩国、新加坡、马来西亚、澳大利亚、泰国、印度尼西亚、菲律宾、亚太地区 (APAC) 的其他地区、沙特阿拉伯、阿联酋、以色列、埃及、南非、中东和非洲 (MEA) 的其他地区（作为中东和非洲 (MEA) 的一部分）、巴西、阿根廷和南美洲其他地区（作为南美洲的一部分） |
|
涵盖的市场参与者 |
IBM (U.S.), KNIME (Switzerland), Minitab, LLC (U.S.), VMware, Inc. (U.S.), Fortinet Inc. (U.S.), Frontline Systems, Inc. (U.S.), Hewlett Packard Enterprise Development LP (U.S.), SAS Institute Inc. (U.S.), Oracle (U.S.), Microsoft (U.S.), Teradata (U.S.), The MathWorks, Inc. (U.S.), H2O.ai (U.S.), Intel Corporation (U.S.), ALTERYX, INC. (U.S.), SAP SE (U.S.), RapidMiner (U.S.), FICO (U.S.), Salford Systems (U.S.), BlueGranite, Inc. (U.S.) |
|
Market Opportunities |
|
Market Definition
Data mining can be well-defined as the set of methodologies which are used in analyzing data from numerous perspectives and dimensions, finding previously unknown hidden patterns, grouping and classifying data and summarizing the identified relationships. Data mining tools also involve in loading, extracting and managing data in a multidimensional database system to attain organizational efficiency.
Data Mining Tools Market
Drivers
- Increasing usage of data mining tools in banking industry
The data mining tools are widely used in banking industry. Distributed data mining has been modeled, examined and developed to support identify credit card scams. Data mining tools provide data to financial organizations on credit reports and loans. The generated data can determine good or bad credits by making a model for historical clients. It also supports banks in detecting false transactions by credit cards and also helps in the delivery of high security to customers. For instance, BBVA announced its partnership with Intel in 2019 for, recognizing Intel as BBVA’s priority partner This agreement has given BBVA access to a collection of tools, products and capacities and allowed it to increase the performance of its data processing and storage systems.
- Surging demand of data mining tools to enhance organizational efficiency
Data mining technologies contain extraction, loading, and management of data in a multidimensional database system. Due to this, the demand for the data mining tool increases to enhance the organizational efficiency. The growing number of organizational data will become a major factor for market growth. The rising number of small and medium-sized businesses in developing countries, augmented awareness regarding the value of data assets among businesses will contribute to the market’s growth.
Opportunities
- Several benefits associated with data mining tools
Data mining tools bring many profits to retail companies, through data analysis. These devices have a proper production and sales process that highlighting on repeated purchasing products instantaneously by consumers. Furthermore, it also increases retail corporations to provide discounts for products that will attract more and more consumers. Also, a rise in demand for artificial intelligence technologies and machine learning creates numerous opportunities for the growth of the marketcreates numerous opportunities for the market. Moreover, the surge in the need for embedded intelligence and the increasing requirement for generating insights from raw data to gain a competitive benefit are also anticipated to make major advantages in the market.
Restraints
- Concerns associated with security and data privacies
Concerns related to security and data privacies and numerous government rules and protocols will hamper the market growth all over the globe. Concerns regarding personal security have been increasing tremendously, mainly when the internet is booming with social blog, networks, forums, e-commerce, and others. As a result of privacy issues, consumers are scared to share their personal data; moreover, hackers can use data in immoral ways that can cause a lot of problems.
This data mining tools market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the data mining tools market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Data Mining Tools Market Scope
The data mining tools market is segmented on the component, service, business function, industry vertical, deployment type and organization size. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Component
- Tools
- Services
Service Managed Service
- Consulting and Implementation
- Others
Support and Maintenance
Training and services
Business Function
- Marketing
- Finance
- Supply Chain and Logistics and Operations
Industry Vertical
- Retail
- Banking
- Financial Services, and Insurance
- Healthcare and Life Sciences
- Telecom and IT
- Government and Defense
- Energy and Utilities
- Manufacturing
- Others
Deployment Type
- On-Premises
- Cloud
Organization Size
- Large Enterprises
- Small and Medium-Sized Enterprises
Data Mining Tools Market Regional Analysis/Insights
The data mining tools market is analyzed and market size insights and trends are provided by country, component, service, business function, industry vertical, deployment type and organization size as referenced above.
The countries covered in the data mining tools market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the data mining tools market in terms of revenue and market share due to the sufficient availability of the supporting infrastructure required for the implementation of leading-edge technologies to prevent the organizational data. Furthermore, increasing the adoption of data mining tools by healthcare, BFSI, retail and consumer goods, and Telecom and IT will boost the market growth rate.
Asia-Pacific will continue to project the highest compound annual growth rate during the forecast period of 2023-2030 due to increasing expenditure for the development of IT infrastructure. Furthermore, growing commercial investments by numerous companies and surging number of small scale businesses in the APAC region will boost the market growth rate.
The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Data Mining Tools Market Share Analysis
The data mining tools market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to data mining tools market.
Some of the major players operating in the data mining tools market are:
- IBM (U.S.)
- KNIME (Switzerland)
- Minitab, LLC (U.S.)
- VMware, Inc. (U.S.)
- Fortinet Inc. (U.S.)
- Frontline Systems, Inc.（美国）
- 惠普企业发展有限公司 (美国)
- SAS Institute Inc.（美国）
- 甲骨文 (美国)
- 微软 (美国)
- Teradata (美国)
- MathWorks 公司（美国）
- H2O.ai（美国）
- 英特尔公司（美国）
- ALTERYX, INC.（美国）
- SAP SE（美国）
- RapidMiner（美国）
- FICO（美国）
- Salford Systems（美国）
- BlueGranite, Inc.（美国）
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
可定制
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