Global Enterprise Resource Planning Technologies Market – Industry Trends and Forecast to 2030

Global Enterprise Resource Planning Technologies Market, By Component (Software, Service), Deployment Model (On-premise, Cloud, Hybrid), Business Function (Finance, Human Resource (HR), Supply Chain, Customer Management, Inventory Management, Manufacturing Module, Others), End User (Large Enterprises, Medium Enterprises, Small Enterprises), Industry Vertical (Manufacturing, BFSI, Healthcare, Retail and Distribution, Government and Utilities, IT and Telecom, Construction, Aerospace and Defense, and Others) – Industry Trends and Forecast to 2030.

Enterprise Resource Planning Technologies Market Analysis and Size

Global enterprise resource planning technologies is segmented on the basis of offering, technology, application, and industry. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.

Data Bridge Market Research analyses that the global enterprise resource planning technologies market which was USD 3,231.41 million in 2022, is expected to reach USD 67,172.04 million by 2030, and is expected to undergo a CAGR of 46.1% during the forecast period 2023-2030. This indicates the market value. “Hardware” dominates the type segment of the global enterprise resource planning technologies market due to their sports and fitness segment is expected to dominate the market as due to continuous increasing adoption of wearable electronic devices for sports and fitness in the order to enhanced sports, fitness, and well-being by monitoring physiological conditions of wearers. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include in-depth expert analysis, geographically represented company-wise production and capacity, network layouts of distributors and partners, detailed and updated price trend analysis and deficit analysis of supply chain and demand.

Enterprise Resource Planning Technologies Market Scope and Segmentation

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. (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.)
• VIENNA Advantage (U.S.)