Research on New Trends and Development Prospects of Enterprise Resource Planning (ERP) Systems

Abstract

This article analyzes modern trends and development prospects of ERP systems. The importance of ERP systems in automating business processes and increasing efficiency is highlighted, and their integration with cloud technologies, artificial intelligence, IoT and mobile applications is discussed. Also, the development prospects of ERP systems are considered as artificial intelligence-based automation, increased cybersecurity measures, flexibility and the creation of user-friendly interfaces. Continuous improvement of ERP systems serves to increase business efficiency and ensure competitiveness.

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Obidjon Bekmirzaev, Kumushbibi Gulomova, & Sanjar Mukhamadiev. (2025). Research on New Trends and Development Prospects of Enterprise Resource Planning (ERP) Systems. European International Journal of Multidisciplinary Research and Management Studies, 5(03), 50–54. Retrieved from https://inlibrary.uz/index.php/eijmrms/article/view/81724
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Abstract

This article analyzes modern trends and development prospects of ERP systems. The importance of ERP systems in automating business processes and increasing efficiency is highlighted, and their integration with cloud technologies, artificial intelligence, IoT and mobile applications is discussed. Also, the development prospects of ERP systems are considered as artificial intelligence-based automation, increased cybersecurity measures, flexibility and the creation of user-friendly interfaces. Continuous improvement of ERP systems serves to increase business efficiency and ensure competitiveness.


background image

European International Journal of Multidisciplinary Research
and Management Studies

50

https://eipublication.com/index.php/eijmrms

TYPE

Original Research

PAGE NO.

50-54

DOI

10.55640/eijmrms-05-03-12



OPEN ACCESS

SUBMITED

29 January 2025

ACCEPTED

28 February 2025

PUBLISHED

31 March 2025

VOLUME

Vol.05 Issue03 2025

COPYRIGHT

© 2025 Original content from this work may be used under the terms
of the creative commons attributes 4.0 License.

Research on New Trends
and Development
Prospects of Enterprise
Resource Planning (ERP)
Systems

Obidjon Bekmirzaev

Tashkent State University of Economics, Tashkent, Uzbekistan

Kumushbibi Gulomova

Tashkent State University of Economics, Tashkent, Uzbekistan

Sanjar Mukhamadiev

Tashkent State University of Economics, Tashkent, Uzbekistan

Abstract:

This article analyzes modern trends and

development prospects of ERP systems. The importance
of ERP systems in automating business processes and
increasing efficiency is highlighted, and their integration
with cloud technologies, artificial intelligence, IoT and
mobile applications is discussed. Also, the development
prospects of ERP systems are considered as artificial
intelligence-based automation, increased cybersecurity
measures, flexibility and the creation of user-friendly
interfaces. Continuous improvement of ERP systems
serves to increase business efficiency and ensure
competitiveness.

Keywords:

ERP systems, cloud technologies, artificial

intelligence,

IoT,

mobile

ERP,

automation,

cybersecurity,

business

processes,

digitalization,

innovative solutions.

Introduction:

In recent years, enterprises and

organizations have been paying more and more
attention to ERP (Enterprise Resource Planning) systems
in order to automate and optimize their business
processes. In particular, studies published in 2023 - 2024
show that the integration of ERP systems with cloud
technologies, artificial intelligence and IoT is further
expanding their functional capabilities. Leading ERP
platforms such as SAP, Oracle, Microsoft Dynamics are


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being actively implemented by companies worldwide,
helping to increase the efficiency of business
processes. A number of works are also being carried
out in Uzbekistan in this regard: large industrial
enterprises and state organizations are achieving
centralization and digitalization of operational
processes by implementing ERP systems. This article
focuses on modern trends in ERP systems, innovations
that affect the development of the industry, and future
development prospects.

In the study of ERP systems, researchers and specialists
have used various methods and techniques, each of
which is aimed at improving the efficiency of the
system and identifying development trends. In
scientific research, empirical, experimental and
analytical approaches are widely used. Within the
framework of empirical methods, the process of
implementing ERP systems in enterprises is studied
and practical results are analyzed. Experimental
methods test various modules of ERP systems and
assess their impact on business processes. At the same
time, mathematical modeling and large-scale data
processing methods are used to forecast the future
development prospects of ERP systems. Researchers
use SWOT and GAP analysis methods to evaluate
software architecture and compare different ERP
systems. In addition, statistical analysis methods are
used to study the impact of ERP systems on enterprise
efficiency and calculate economic profitability
indicators. In recent years, research on integrating ERP
systems with artificial intelligence and cloud
technologies has also expanded, and machine learning
(ML) algorithms are being used to analyze data.
Therefore, it is observed that a combined approach to
researching ERP systems - that is, combining
technological, economic and management methods -
gives the most effective results [1-3].

METHODS

ERP systems play an important role in automating
business processes and increasing efficiency. In recent
years, ERP systems have been developing based on
new trends, becoming more flexible and innovative
solutions. The demand for ERP systems based on cloud
technologies is increasing, offering more convenient
and cost-effective solutions for enterprises. The
integration of artificial intelligence (AI) and machine
learning (ML) algorithms into ERP systems optimizes
business processes and increases the ability to make
quick and accurate decisions. Internet of Things (IoT)
technologies allow for real-time monitoring of
production and logistics processes, helping to
effectively use resources. Mobile ERP systems, on the
other hand, provide employees with the opportunity
to connect to the system from anywhere, making

business processes more flexible and faster. At the same
time, the development of ERP systems also requires
strengthening cybersecurity measures, since data
protection and confidentiality are of great importance
for enterprises. The future of ERP systems is closely
linked to the widespread introduction of artificial
intelligence, IoT, and cloud technologies, the use of
which will serve to increase competitiveness and
efficiency for enterprises [4].

The development of these systems in recent years has
been driven by several important trends that are making
ERP platforms more flexible, intelligent, and user-
friendly [5]:

1. Transition to cloud ERP systems;

2. Expansion of artificial intelligence and analytical
capabilities;

3. Integration with IoT;

4. Mobile ERP systems;

5. Security and data protection.

The above are the development trends of ERP systems,
and the direction in which they are changing in modern
business can be described in detail as follows [8-9]:

1. Transition to cloud ERP systems. Cloud ERP platforms
are a more convenient and cost-effective solution
compared to traditional local ERP systems. Thanks to
cloud technologies, companies are able to use fast and
uninterrupted services without large software costs.
Cloud ERP systems also provide real-time access to data,
making it easier to work remotely and manage
multidisciplinary business processes;

2. Expanding artificial intelligence and analytics
capabilities. The integration of artificial intelligence (AI)
and machine learning (ML) algorithms into ERP systems
helps to further automate and optimize business
processes. The capabilities of AI-based data analysis,
forecasting, and decision-making are expanding,
allowing enterprises to effectively implement strategic
planning. As a result, ERP systems are greatly helping
enterprises improve their financial position, resource
utilization, and operational efficiency;

3. Integration with IoT. IoT is taking ERP systems to a
new level. With the help of IoT technologies, processes
such as production, logistics and supply chain are
monitored in real time, and data is automatically
transmitted to the ERP system. This allows for reducing
errors, optimizing processes and using resources more
efficiently. In particular, the integration of ERP systems
with IoT is gaining great importance in intelligent
management and automation of production processes;

4. Mobile ERP systems. In today's modern business
environment, mobile ERP systems are becoming


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increasingly important. Employees can connect to the
ERP system via a smartphone or tablet and access data,
view reports, and manage operational processes from
anywhere. This helps business processes run more
quickly, flexibly, and efficiently. Mobile ERP systems
are especially important in the areas of trade, logistics,
and service;

5. Security and data protection. Since ERP systems
contain the most important data of enterprises, the
issue of cybersecurity remains relevant. Modern ERP
systems are implementing protection mechanisms
such as encryption, multi-factor authentication, and
firewalls. Data backup and secure storage measures
are also being strengthened, reducing the risk of
enterprises losing data or being exposed to
cyberattacks.

These trends are further developing ERP systems and
enabling enterprises to implement innovative
solutions. In the future, further development of ERP
systems based on artificial intelligence, IoT and cloud
technologies is expected. This process is closely related
to modern technologies and changes in business
needs, and the prospects for the development of ERP
systems are formed in the following main directions
[10-12]:

1. Deep integration of artificial intelligence and
automation.

Deeper

integration

of

artificial

intelligence and machine learning technologies into
ERP systems is expected. This will expand the
possibilities for enterprises to forecast, make
recommendations and automate processes. For
example, the possibilities for predicting costs in
advance or increasing the efficiency of production
processes will increase;

2. The advantage of cloud ERP and SaaS model. The
role of cloud technologies in the development of ERP
systems is increasing. The trend of providing ERP

systems based on the “Software as a Service” (SaaS)

model is strengthening, and companies will receive
faster and cheaper solutions. Cloud ERP solutions
provide greater flexibility and the ability to work from
anywhere;

3. Increased integration of IoT and ERP. The
development of IoT technologies will allow ERP
systems to receive and process data in real time. This
will be especially important in production, logistics and
supply chain management. Enterprises will be able to
fully control the movement and performance of their
assets;

4. Blockchain technology and increased security. The
use of blockchain technologies will expand to increase
the security of ERP systems. This will be especially
important for protecting transaction data, ensuring

transparency in supply chains, and preventing
document forgery;

5. Flexibility and user-centricity of ERP systems. Future
ERP systems will be more flexible and adaptable to user
needs. With the help of no-code and low-code
platforms, businesses will be able to quickly adapt and
update their ERP systems without programmers.

The development prospects of ERP systems serve to
create a more efficient, secure and digitalized business
environment for enterprises. These trends create the
basis for ERP systems to become more intelligent,
integrated and innovative.

RESULTS

The development of ERP systems plays an important
role in optimizing business processes and increasing
efficiency for enterprises. In recent years, integration
with cloud technologies, artificial intelligence and IoT
has taken ERP systems to a new level, expanding their
capabilities. The introduction of mobile ERP systems is
helping to make business processes more flexible and
agile. At the same time, the development prospects of
ERP systems are focused on artificial intelligence-based
automation, analysis and forecasting of large volumes of
data, as well as strengthening security, ensuring data
reliability and protection from cyber threats will remain
one of the most important areas in the future.

It is also expected that the functionality of ERP systems
will further expand, offering flexible platforms for small
and medium-sized businesses. As a result of the
development of artificial intelligence and machine
learning algorithms, ERP systems will be able to
independently optimize business processes and assist
management in making strategic decisions. In addition,
the integration capabilities of ERP systems are also
increasing. In particular, their compatibility with cloud
technologies and IoT devices will create the opportunity
for enterprises to exchange information in real time,
further simplifying production processes and helping to
use resources more efficiently.

ERP systems are an important tool that helps
enterprises adapt to market demands, and their
continuous development serves to increase business
efficiency. Therefore, it is important for companies to
focus on new technologies when implementing ERP
systems and make the most of their capabilities. In the
future, further improvements to ERP systems are
expected to bring greater efficiency to enterprises by
automating business processes and increasing analytical
capabilities.

CONCLUSION

The modern development of ERP systems is helping to
make business processes more efficient and automated.


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While the transition to cloud ERP systems provides
enterprises with savings and flexibility, artificial
intelligence and IoT technologies are playing an
important role in optimizing processes. The
development prospects of ERP systems are associated
with increasing cybersecurity, the use of blockchain
technologies, the creation of user-friendly interfaces,
and the provision of flexible solutions. In the future,
the improvement of ERP systems will serve to increase
the competitiveness of businesses and expand the
possibilities for making quick strategic decisions.
Therefore, companies should take into account new
technologies when implementing ERP systems and
make the most of their capabilities.

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Nuralievich, B. O., Boltaevich, M. B., & Ugli, B. U. B.
(2022, September). The Procedure for Forming a List of
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Bekmirzaev O., Shirinov B. An Algorithm for Viewing
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Effectiveness of Information System Protection // AIP
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and Management Studies

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European International Journal of Multidisciplinary Research and Management Studies

Beknazarova, S., & Bekmirzaeva, M. (2024). Analysis of
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References

Nuralievich, B. O., & Boltaevich, M. B. (2021, November). Method of Detection and Elimination of Tracks of Attacks in the Information System. In 2021 International Conference on Information Science and Communications Technologies (ICISCT) (pp. 1-2). IEEE.

Nuralievich, B. O., Boltaevich, M. B., & Ugli, B. U. B. (2022, September). The Procedure for Forming a List of Sources of Attack in the Information System. In 2022 International Conference on Information Science and Communications Technologies (ICISCT) (pp. 1-4). IEEE.

Bekmirzaev O., Shirinov B. An Algorithm for Viewing Node State Events Under Attack for Information Systems // AIP Conference Proceedings., 2024, 3147(1), 050003. DOI: 10.1063/5.0210404

Bekmirzaev O., Samarov H. A Method of Evaluating the Effectiveness of Information System Protection // AIP Conference Proceedings., 2024, 3147(1), 050004. DOI: 10.1063/5.0210405

Muminov, B., & Bekmirzaev, O. (2022). Structure and algorithms of online discussion information system. Scientific Collection «InterConf», (114), 373-384.

Мўминов, Б., & Бекмирзаев, О. (2022). Построение узлов о событиях под влиянием атаки в информационной системе. Scientific Collection «InterConf», (114), 388-396.

Bekmurodov, O. (2023). Ахборот тизимларида ҳужум манбалари рўйхатини шакллантириш процедураси. Digital Transformation and Artificial Intelligence, 1(3), 129-136.

Samarov, H. K., & Bekmirzayev, O. N. (2023). Masofaviy oʻqitish tizimlarida mavjud risklar va ularni minimallashtirish istiqbollari. Research and Education, 2(4), 146-155.

Bekmirzayeva, M. (2024). Vizuallashtirish tizimlarida yomg‘ir va qor muammolarini tasvirga dastlabgi ishlov berish yordamida bartaraf etish. Digital Transformation and Artificial Intelligence, 2(1), 120-124.

Bekmirzayev, O., & Sabirov, X. (2023). “Kompyuter arxitekturasi” fanini о ‘qitish samaradorligini oshirishda zamonaviy pedagogik texnologiyalarning interfaol usullaridan foydalanish. Science and Innovation, 2 (Special Issue 14), 549-551.

Muminov, B., Bekmirzaev, O., & Al-Khwarizmi, M. (2022). Classification and analysis of network attacks in the category of “denial of service” information system. central asian journal of education and computer sciences (CAJECS), 1, 7-15.

Бекмирзаев О., Турсунов Ж. Алгоритмы системы одностороннего межсетевого взаимодействия и система обнаружения вторжений //Digital Transformation and Artificial Intelligence. – 2023. – Т. 1. – №. 4. – С. 135-145.

Axmedova, N., & Bekmirzaev, O. (2022). Analysis of methods of fighting against network attacks of the “denial of service” category on information systems. central asian journal of education and computer sciences (CAJECS), 1, 5.

Bekmirzayev, O., & Muminov, B. (2024). The Role and Application of Artificial Intelligence in Identifying Threats to Information Systems. DTAI–2024, 1(DTAI), 85-90.

Bekmirzayev, O. (2024). Algorithm for Constructing and Configuring Parameters of a Model for Searching for Traces of Attacks in an Information System. DTAI–2024, 1(DTAI), 171-174.

Bekmurodov, O., Usmanbayev, D., & Eshonqulov, N. Z. (2024). Kompyuter tarmoqlarini ddos hujumlaridan himoya qiluvchi dasturiy vositalarning qiyosiy tahlili. Digital Transformation and Artificial Intelligence, 2(2), 46-50.

Bekmirzayev, O., & Kumushbibi, G. U. (2024). Korxona tizimlarda ma’lumotlarni saqlash va uzatishda foydalanuvchi maxfiyligi. Digital Transformation and Artificial Intelligence, 2(6), 207-213.

Bekmirzayev, O. N., & Bekmirzayeva, M. S. (2016). Recognize faces by the selecting degree of security. In Информатика: проблемы, методология, технологии (pp. 3-7).

Ташев, К. А., & Бекмирзаев, О. Н. (2015). К вопросу анализа проблем информационной безопасности. In Информатика: проблемы, методология, технологии (pp. 211-214).

Турапов, У. У., & Бекмирзаев, О. Н. (2015). Системный подход при обеспечении информационной безопасности в информационно-библиотечных сетях. In Информатика: проблемы, методология, технологии (pp. 219-224).

Beknazarova, S., & Bekmirzaeva, M. (2024). Analysis of Filters for Processing Video Images. DTAI–2024, 1(DTAI), 224-227.

Safibullaevna, B. S., Qizi, J. M. K., Shaimardanova, B. M., & Erkinovna, A. M. (2020). Adaptive Method For Eliminating Noise Of Image. The American Journal of Engineering and Technology, 2(12), 59-66.