Global Enterprise Resource Planning Technologies Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2023 –2030 |
 Market Size (Base Year) |
USD 3,231.41 Million |
 Market Size (Forecast Year) |
USD 67,172.04 Million |
 CAGR |
% |
| Major Markets Players |
|
>全球企业资源规划技术市场，按组件（软件、服务）、部署模型（内部部署、云、混合）、业务功能（财务、人力资源 (HR)、供应链、客户管理、库存管理、制造模块、其他）、最终用户（大型企业、中型企业、小型企业）、垂直行业（制造业、BFSI、医疗保健、零售和分销、政府和公用事业、IT 和电信、建筑、航空航天和国防等）划分 - 行业趋势和预测到 2030 年。
企业资源规划技术市场分析和规模
全球企业资源规划技术根据产品、技术、应用和行业进行细分。细分市场的增长有助于您分析利基增长领域和进入市场的策略，并确定您的核心应用领域和目标市场的差异。
Data Bridge Market Research 分析，全球企业资源规划技术市场在 2022 年为 32.3141 亿美元，预计到 2030 年将达到 671.7204 亿美元，预计在 2023-2030 年预测期内的复合年增长率为 46.1%。这表明了市场价值。由于可穿戴电子设备在运动和健身方面的采用不断增加，预计运动和健身领域将占据市场主导地位，因此“硬件”在全球企业资源规划技术市场的类型细分市场中占据主导地位，通过监测佩戴者的生理状况来增强运动、健身和幸福感。除了对市场价值、增长率、细分、地理覆盖范围和主要参与者等市场情景的洞察外，Data Bridge Market Research 策划的市场报告还包括深入的专家分析、按地理代表的公司生产和产能、分销商和合作伙伴的网络布局、详细和更新的价格趋势分析以及供应链和需求的缺口分析。
企业资源规划技术市场范围和细分
|
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（软件、服务）、部署模型（本地、云、混合）、业务功能（财务、人力资源 (HR)、供应链、客户管理、库存管理、制造模块、其他）、最终用户（大型企业、中型企业、小型企业）、垂直行业（制造业、BFSI、医疗保健、零售和分销、政府和公用事业、IT 和电信、建筑、航空航天和国防等） |
|
覆盖国家 |
U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa |
|
Market Players Covered |
Adept Business Solutions (U.S.), Afas Software (U.S), Apprise Software Inc. (U.S.), Infor Inc. (U.S.), Iqms.com (U.S.), Microsoft Corporation (U.S.), Oracle Corporation (U.S.), Qad Inc. (U.S.), Qualtec Systems Ltd. (U.S.), Salesforce.com Inc. (U.S.), Sap Se (U.S.), Syspro (U.S.), Unit4Workday Inc. (U.S.), Workwise Llc (U.S.), Plex Systems. (U.S.), Ramco Systems (U.S.), Epicor Software Corporation (U.S.), Tally Solutions Private Limited (U.S.), Odoo (U.S.), SYSPRO (U.S.), Tyler Technologies (U.S.), MIE Solutions (U.S.), MIE Solutions (U.S.), Genius Solution, Inc. (U.S.), Brightpearl (U.S.), Deltek, Inc. (U.S.), QAD Inc. (U.S.), and VIENNA Advantage (U.S.) |
|
Market Opportunities |
|
Market Definition
Enterprise resource planning technologies helps in improving the overall supply chain performance by using cognitive predictions and recommendations on optimal actions. Artificial intelligence is used in supply chain applications to automate the processes such as allocating resources, assigning work to people and so on.
Rising digitization of the economies especially the emerging ones will emerge as the major market growth driving factor. Surging demand for greater visibility and transparency in the supply chain and logistics data, growing generation of high amount of data and information, rising adoption by small and medium scale enterprises and strengthening IT industry in developing economies such as India and China will further aggravate the growth of the market. Rising proliferation of cloud based services and ever-growing set of favourable government regulations are some other factors bolstering the growth of the market
Global Enterprise Resource Planning Technologies Dynamics
Drivers
- Increasing Complexity of Supply Chains
Modern supply chains are becoming increasingly complex due to factors such as globalization, outsourcing, multiple stakeholders, and dynamic customer demands. AI can help manage and optimize these complexities by providing advanced analytics, predictive capabilities, and decision-making support to streamline operations and enhance efficiency.
- Demand for Real-Time Insights and Decision-Making
With the growing need for real-time visibility and agility in supply chain operations, AI technologies can provide valuable insights and enable faster decision-making. Machine learning algorithms and predictive analytics can analyze vast amounts of data in real-time, helping organizations identify patterns, anticipate demand, mitigate risks, and make informed decisions to optimize their supply chain performance.
Opportunities
- Enhanced Demand Forecasting and Inventory Optimization
AI-powered demand forecasting algorithms can analyze historical data, market trends, and external factors to provide accurate predictions. By leveraging AI in supply chain management, organizations can optimize inventory levels, reduce stockouts, minimize carrying costs, and improve overall supply chain efficiency.
- Intelligent Supply Chain Visibility and Tracking
AI technologies, combined with IoT sensors and real-time data analytics, enable end-to-end visibility and tracking of goods throughout the supply chain. This visibility helps identify bottlenecks, optimize logistics routes, mitigate risks, and enhance transparency, resulting in improved customer service and reduced operational costs.
Restraint/Challenge
- Data Quality and Availability
AI systems rely on large volumes of high-quality data for training and accurate decision-making. However, obtaining clean, reliable, and relevant data can be challenging, especially in complex and fragmented supply chains. Data silos, inconsistencies, and privacy concerns can limit the effectiveness of AI applications.
Recent Developments
- In March 2020Epson America, Inc., a division of Japan's Seiko Epson Corporation, partnered with 3D HoloGroup (US), a company that specialises in AR software architecture and systems integration, to sell Epson's AR glasses
- In June 2019 PTC acquired TWNKLS (Netherlands), a provider of practical AR solutions for Industry 4.0 to accelerate the development of AR enterprise apps
- In May 2019 Microsoft released the second-generation HoloLens, the HoloLens 2. The HoloLens 2 complete set includes free trials of Unity Pro, Azure credits, and the Unity PiXYZ CAD data plugin. In addition, the company announced Unreal Engine 4 support for HoloLens 2, which will provide customers with a more realistic experience
Global Enterprise Resource Planning Technologies Scope
The artificial intelligence in supply market is segmented on the basis of offering, technology, application, and industry. The growth amongst these segments will help you analyse 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
Offering
- Hardware
- Software
- Services
Technology
- Machine Learning
- Natural Language Processing
- Context-Aware Computing
- Computer Vision
Application
- Fleet Management
- Supply Chain Planning
- Warehouse Management
- Virtual Assistant
- Risk Management
- Freight Brokerage
- Others
Industry
- Automotive
- Aerospace
- Retail
- Manufacturing
- Healthcare
- Consumer-Packaged Goods
- Food and Beverages
Global Enterprise Resource Planning Technologies Market Regional Analysis/Insights
The global enterprise resource planning technologies is segmented on the basis of offering, technology, application, and industry as referenced above.
The countries covered in the enterprise resource planning technologies market report are U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa
North America dominates the global enterprise resource planning technologies and will continue to flourish its trend of dominance during the forecast period. Existence of major key players in this region is fostering the market growth. However, Asia-Pacific will score the highest CAGR for the forecast period owing to the increased application of augmented reality by the various end user verticals.
On the other hand, prevalence of advanced infrastructure and presence of major players in the region will bolster the growth of North America is the global market share. As a result, the factors will be responsible in making North America, the region, to score the highest growth rate in the forecast period 2022-2030.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts 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 Global Enterprise Resource Planning Technologies Market Analysis
The enterprise resource planning technologies 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, North America presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, and application dominance. The above data points provided are only related to the companies' focus related to enterprise resource planning technologies market.
Some of the major players operating in the global enterprise resource planning technologies are:
- Adept Business Solutions (U.S.)
- Afas Software (U.S)
- Apprise Software Inc.（美国）
- Infor Inc.（美国）
- Iqms.com（美国）
- 微软公司（美国）
- 甲骨文公司（美国）
- Qad Inc.（美国）
- Qualtec Systems Ltd.（美国）
- Salesforce.com Inc.（美国）
- Sap Se（美国）、Syspro（美国）
- Unit4Workday Inc.（美国）
- Workwise Llc（美国）
- Plex Systems。（美国）
- Ramco Systems（美国）
- Epicor 软件公司 (美国)
- Tally Solutions Private Limited（美国）
- Odoo（美国）、SYSPRO（美国）
- Tyler Technologies（美国）
- MIE 解决方案（美国）
- MIE 解决方案（美国）
- Genius Solution, Inc.（美国）
- Brightpearl（美国）
- Deltek, Inc.（美国）
- QAD Inc.（美国）
- 维也纳优势（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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