Top ten trends of RPA industry development in 2022, 6000 words long text to help you understand RPA
How will the RPA industry develop in 2022? Ten trends help you understand the future of RPA industry
Here are the top ten trends of RPA industry development in 2022. Friends who pay attention to RPA must collect it!
Text / Wang Jiwei
From the opening of RPA in the first year of 2019 to now everyone talks about finance, e-commerce, government and enterprises. The development of RPA in China has only taken three years. This speed is faster than previously expected.
RPA not only shows the “Chinese speed”, but also is in the stage of rapid development all over the world.
According to the research data of HFS research, the annual growth rate of RPA global market scale exceeded 50% from 2016 to 2018. It is expected that the global market scale will reach US $4.308 billion in 2022.
Although the continued COVID-19 has had a huge impact on the global economy, causing many industries to show signs of regression, it has also indirectly stimulated the demand of major organizations for automation and intelligence. Gartner predicts that 90% of the world’s large organizations will apply RPA in some form in 2022; By 2024, RPA market will continue to maintain double-digit rapid growth.
More relevant data predict that from 2019 to 2029, the global robot process automation market will grow at a CAGR of 33% in 10 years.
This shows that RPA industry will be one of the fastest growing software markets in the next 3-5 years.
As more and more fields know more about RPA, it also penetrates more from the original technical field to the business field. In the past, CIOs and CTOs were mostly concerned about RPA. Now business executives in the fields of finance, human resources and sharing center are also becoming enthusiastic fans of RPA.
Fanaticism means demand. If you need it, you have to buy it. What technologies and tools are preferred by major organizations depends on the CPO’s purchase list. According to the 2021 global Chief Procurement Officer (CPO) survey report released by Deloitte, RPA has become the procurement focus of chief procurement officers in the field of innovative technology procurement. The purchase rate of RPA increased from 2.4% in 2019 to 27.5% in 2021, an increase of more than 10 times.
Many reports and groups of data show that the RPA market scale will show ultra-high growth in the next few years. In order to adapt to such a rapidly developing market, RPA manufacturers must firmly grasp the once-in-a-lifetime opportunity and continue to innovate and make breakthroughs for development. More importantly, we should see the future development trend of the industry, be specialized, refined and strong in combination with our own advantages, and constantly consolidate ourselves to move forward more steadily.
What are the development trends of RPA industry in 2022? What will RPA manufacturers do? In this article, Wang Jiwei channel summarizes and forecasts the ten major trends of the industry in the future to help you further understand the RPA industry.
Trend 1: rpaaas will go further
In recent years, RPA is gradually migrating to cloud computing. At the same time, cloud native RPA launched by cloud computing, big data and other manufacturers has SaaS or PAAS attributes. Under the trend of “everything serves”, in order to make it easier for the majority of small and medium-sized enterprises to apply RPA, the RPA field has also produced a unique rpaaas (robot process automation as a service) mode.
Using rpaaas is as simple as using other SaaS applications. As long as you log in to the client on the web page, you can simply develop, configure and manage the business process, which greatly reduces the difficulty of the development and application of RPA robot. Organizations using rpaaas can obtain business process automation without investing in expensive infrastructure, early licensing costs and high consulting costs for large-scale implementation.
These characteristics make more organizations, especially small and medium-sized enterprises, more inclined to rpaaas in the choice of business process automation solutions. Enterprises that have been on the cloud will also give priority to rpaaas in business scenarios that do not involve core data.
We can see that after automation anywhere (AA), more RPA manufacturers are actively expanding rpaaas technically through self-research, investment and acquisition. Many manufacturers have launched automatic cloud or actively promote cloud based RPA deployment, so as to reduce the difficulty of users in RPA deployment and use, so as to promote the ultimate vision of RPA “everyone can use”.
At present, AA, uipath and other products have realized web login, and other manufacturers have also realized SaaS in varying degrees based on the client. It can be predicted that more manufacturers will make further progress in rpaaas in 2022.
Trend 2: AI deep integration makes RPA more intelligent
The reason for this wave of RPA fever is that AI gives RPA new life. The integration of AI and RPA has achieved the dual value of RPA application market and capital market. The higher the integration degree of AI and RPA, it means that RPA can be applied to more scenarios, and its commercial value will naturally be higher.
The technology integration of AI and RPA was called AI + RPA, RPA + AI or IPA two years ago. Now some manufacturers are focusing on Intelligent Automation (IA). Intelligent automation based on RPA combines RPA and artificial intelligence to enhance end-to-end processes and accelerate digital planning.
Enterprises that use AI to enhance RPA extend the possibilities of business process automation to cover almost all scenarios. Of course, the implementation path of IA is not only AI + RPA, but the solution of the integration of AI and RPA is the easiest and most effective.
Intelligent automation based on RPA is more often called intelligent RPA, also known as cognitive RPA, cognitive automation, semantic automation or intelligent process automation (SPA). It refers to RPA enhanced by artificial intelligence technologies such as natural language processing (NLP), optical character recognition (OCR), deep learning and machine learning.
Intelligent RPA enables enterprises to automate not only repetitive rule-based tasks, but also prediction and prediction based on structured and unstructured data.
According to statistics, since 2014, about 90% of C-level executives say there has been some degree of intelligent automation in their organization. In the way of implementation, it is obvious that more small and medium-sized enterprises will choose the intelligent RPA with lower cost. According to other data, the RPA and intelligent process automation market will reach US $35 billion in 2023.
Therefore, in 2022, more organizations, especially small and medium-sized organizations, will adopt smart RPA.
Trend 3: more RPA manufacturers embrace super automation architecture
Hyperautomation is defined by Gartner as “the application of advanced technologies, including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and enhance human capabilities.”
Super automation not only covers a series of tools that can be automated, but also involves all the implementation steps of automation (i.e. discovery, analysis, design, automation, measurement, monitoring, re evaluation, etc.).
Its birth lies in the market demand. A large number of organizations lack technology and experience and cannot expand and implement automation according to the enterprise business strategy. Therefore, RPA manufacturers and other organizations must provide them with complete end-to-end automation to further enhance the business process.
Super automation is a set of automation methodology and comprehensive solutions to help enterprises quickly realize business process automation.
At present, the strategic planning and product portfolio of overseas RPA manufacturers are mostly based on super automation architecture, and domestic RPA manufacturers are also developing in this direction.
For example, Hongji cyclone released the super automation product matrix in October, and Huawei released the enterprise level super automation architecture RPA product weautomate 3.0 covering the whole scene and life cycle in November, including the latest product strategy of cloud expansion technology, which also uses RPA + LCAP to build a super automation platform.
At the same time, from the latest product lines of other manufacturers, we can also see that they are also building a richer product portfolio based on super automation architecture.
According to Gartner’s prediction, by 2022, the global market for supporting super automation software will reach nearly US $600 billion, equivalent to about 4 trillion yuan. At the same time, in terms of efficiency and cost reduction, by 2024, the combination of super automation technology and redesigned operation process can reduce the operation cost of enterprises by 30%.
It can be predicted that more RPA manufacturers will embrace the super automation architecture in 2022.
Trend 4: automation first becomes enterprise management thinking
As RPA has increasingly become an important solution for enterprise digital transformation, the significant efficiency and cost reduction brought by RPA are performed in more and more business scenarios. Gradually, automation first mindset began to influence more managers of organizations and became more and more popular.
Automation priority thinking is a methodology and a new enterprise management thinking. It requires organizations to give priority to seeking automation solutions when designing, improving or transforming workflow, and the problems that can be solved by automation are handed over to automation.
Automation priority thinking only focuses on business process automation itself. What we pay attention to is that all businesses that can be done by automation are completed by automation, and can be compatible with top-down and bottom-up synchronization. This makes the framework standardization of organization management and more flexible automation go hand in hand, and then solves the problem of cost, efficiency and stability.
The emergence of automation first thinking is the inevitable popularization of intelligence and automation in major organizations. At the same time, it can also promote more organizations to promote business process automation faster. The organizations that used RPA in the early stage have now regarded automation priority thinking as the main thinking of enterprise management. Based on this, they manage more business processes in enterprise operation and have upgraded them to the strategic level.
Automation priority thinking can not only accelerate the business automation process of the organization, but also help the rapid promotion and popularization of RPA in various fields. Starting from 2022, it will become the methodology for more organizations’ digital transformation and the guiding “artifact” for RPA manufacturers to expand their territory.
Trend 5: more recognition of RPA in the field of digital transformation
Wang Jiwei channel has always had a view that business process automation is the best entry point for digital transformation. The reason for this is that business process automation can quickly help enterprises achieve efficiency and cost reduction from bottom to top, and eliminate the common problems of large investment, long construction period and slow effectiveness of traditional digital solutions.
At the same time, business process automation based on RPA can enable the IT equipment and technology invested by the organization to work again with the characteristics of non-invasive and high expansion. When large organizations introduce RPA, they not only have the flexibility and scalability that traditional automation does not have, but also use it as a binder to connect more enterprise management systems and it equipment through RPA, so as to achieve higher ROI.
RPA makes business process automation no longer the privilege of large enterprises. The majority of small and medium-sized enterprises can use RPA to realize business process optimization simply, quickly and at low cost. Even, you can always use the free community version of some manufacturers for business process optimization. For example, the local branch of a large state-owned enterprise once used more than 100 uibot community versions.
The ultimate goal of digital transformation is to reduce costs and increase efficiency, and business process simplification and optimization is the main content. At present, using tools such as RPA to optimize business processes is the simplest and most efficient compared with any solution.
While optimizing your business process with RPA, RPA will also make your organization and management digital synchronously. In this way, the digital transformation of the organization can take into account the effect and indicators, making the digital transformation more effective.
In 2022, as RPA enters more organizations, it will also get more recognition in the field of digital transformation.
Trend 6: more organizations establish RPA centers of excellence
The RPA center of excellence (RPA COE) is the central organization responsible for implementing RPA in the organization. The functional roles of RPA COE include it experts, RPA consultants, process managers and functional experts. The role of RPA COE is to establish governance models, best practices and expertise to optimize return on investment.
Establishing RPA COE has many benefits, such as improving the efficiency of robot development cycle and integrating RPA with it. At the same time, it will also provide RPA training, services and support.
A successful RPA center of excellence or automated COE can not only ensure the implementation of RPA technically, but also deeply embed the RPA operation architecture, analyze, mine and optimize business processes, release enterprise labor resources based on the principle of automation first, and ensure that the enterprise operation is faster, more efficient and less errors.
According to the research data of horses for source in 2020, 18% of enterprises have established a special COE model for the implementation of RPA, of which 88% of enterprises effectively improve business value through Coe. From this set of data, we can see the importance of COE for enterprise application of RPA.
In 2019, about 40% of enterprises and organizations have established automation centers of excellence. At present, these centers of excellence are transitioning to RPA COE with the extensive application of RPA. The more enterprises realize the value of RPA, the more they can realize the importance of RPA Coe.
At present, many domestic enterprises with more RPA applications have established centers of excellence or similar functional departments, and the sharing centers of some organizations have also begun to be transformed into RPA Coe. To make RPA play a greater value, RPA COE is indispensable. At the same time, it can also help enterprises better complete digital transformation.
Uipath has an “enterprise automation flywheel” model, which lists 10 steps to implement automation. The first step is to establish an automation process from the center of excellence. Other manufacturers, such as laiye technology and yisaiqi, have also launched RPA center of excellence solutions, which can help enterprises quickly establish COE to maximize the application value of RPA.
With the market demand and the guidance of manufacturers, more organizations are bound to establish RPA centers of excellence in 2022.
Trend 7: RPA will integrate and integrate with more technologies
Wang Jiwei channel has repeatedly mentioned that RPA is not the only way of automation. There are many types of automation. BPA, ipaas, low code, workflow, AI and other technologies can realize automation. However, from the perspective of cost, efficiency, implementation difficulty and other dimensions, RPA is the best way to realize automation.
According to Gartner data, RPA is the fastest-growing enterprise software in 2019 and 2020, and its revenue increased by 38.9% in two years. With the development and improvement of RPA function, organizations including RPA manufacturers also need to integrate it with other technologies to establish this advantage.
The popularity of RPA means that the process automation of organizations will take RPA as the center, integrate and integrate more technologies and tools, and integrate the functions of adjacent business process technologies to provide users with more complete solutions.
Integrating RPA with non IT systems (such as HR system and financial system) helps to minimize human errors, maintain data accuracy and improve data visibility. Thus, RPA can be applied to more business scenarios and have a lasting impact on the overall business transformation of the organization.
RPA based system integration has been in full swing in many organizations. The most common is to integrate RPA into the original ERP system and CRM system to break through the data barrier and optimize the performance of legacy systems. For those enterprises with hundreds of management software, after abandoning API solutions, they rely more on RPA based data processing, and integration and integration are more important for them.
Since 2022, organizations are more concerned about how to use RPA better. Under this demand, RPA is bound to integrate and integrate more applications.
Trend 8: RPA usability continues to increase
In terms of market, RPA has been extending in two directions: one is for large and medium-sized organizations at b-end such as government and enterprises, and the other is for individual users at small, medium-sized and micro enterprises and even C-end. Almost all RPA manufacturers strive to expand C-end users while ensuring key customers.
On the one hand, large and medium-sized organizations are committed to making front-line business personnel become civilian developers. Technicians do not pay too much attention to business, and only business personnel of various departments can develop RPA robots that are really needed. The ease of use of products determines whether business personnel can quickly and stably use RPA to develop various applications.
On the other hand, in fact, most of the individual users at the C-end are individuals in an organization, possibly front-line business personnel, who are enough to promote the application of RPA in the whole organization. To capture more individual users, we need to continuously reduce the difficulty of application development and continuously improve the ease of use of RPA.
RPA manufacturers are now constantly improving the ease of use of RPA through various means.
These means include launching rpaaas, integrating super automation architecture, launching more AI based functions such as intelligent document recognition, and improving the developer ecology. The purpose is to make it easier for users to use RPA by creating more convenient process identification and arrangement operations, simpler non-standard data transformation, more specific business demand scenarios, more practical auxiliary development tools, etc.
Now, “one robot for each person” and “make RPA available to all” have become the common vision of manufacturers. To quickly realize these visions, manufacturers need to first make an issue of product ease of use. Only by letting everyone get started with RPA as quickly as using mobile phones can we realize the real RPA available to all.
In 2022, RPA manufacturers will further improve the ease of use of RPA through technology, products and ecology.
Trend 9: RPA ecology is more open
Enterprise ecological capability refers to the ability of enterprises to build an economic community and form service output to the outside world. The stronger the ecological ability, the faster the development of enterprise scale and the stronger the profitability.
For RPA manufacturers in the field of enterprise services, the importance of ecology is self-evident.
Participants in RPA ecology include RPA manufacturers, RPA developers, consultants, system integrators, technology suppliers, technology partners, agents / channels and enterprise customers.
There are sub ecosystems under the general ecology, and the operation of multiple sub ecosystems supports the operation of the general ecology.
To rapidly expand the market scale, it is necessary to build a market ecology covering more partners in various fields. If you want to build the technology capability of continuous iteration, you can’t do without a technology ecosystem that includes more technology partners. If you want developers to learn and improve their development skills quickly, you cannot lack a developer ecosystem that helps developers grow. To provide customers with more comprehensive solutions is inseparable from the product cooperation ecology jointly with various manufacturers.
For RPA manufacturers, each ecological participant is an important factor in building their ecological capacity. The ecological capacity determines the development of RPA manufacturers.
Different manufacturers have different genes, and the focus of ecological capability is also different: those with technology genes may have stronger technology ecology and developer ecology; Those with marketing and marketing genes tend to have a better market ecology. However, no matter how to build the sub ecology, the overall ecological ability determines the future of RPA manufacturers and reflects their core competitiveness.
The more open the ecosystem is, the more vigorous the vitality is and the stronger the ecological capacity is. RPA industry is also showing this trend at present. For example, uibot 6.0 community version has opened the free use of the whole process including design, implementation, management and AI capabilities, and the developer ecology has been further opened.
It is believed that with the leadership of laiye technology, more manufacturers will further increase ecological openness after 2022.
Trend 10: RPA becomes an important enterprise management software
ERP was once one of the main systems for the information development of organizations, but now ERP and various legacy systems have become one of the main challenges facing the digital transformation of organizations.
ERP stores a large number of key business data that are difficult to extract and migrate. Manual input of data into ERP system is laborious, time-consuming and error prone. Under the impact of new technologies, the traditional integration automation has become outdated. RPA has become the best automation tool to solve ERP data extraction and migration.
Analysts from many institutions, including Gartner, predict that ERP will undergo great changes, in which RPA, artificial intelligence and automation will play an important role. The implication of this prediction is that RPA will take over ERP. RPA can not only automate daily repetitive tasks and business processes, but also create the whole process of data entry and output as executable programs.
Not only the human operation of ERP, but also the human operation of management systems such as CRM, BPM, HR, PM, KM and OA can also be automated by RPA. At the same time, RPA can replace manpower to carry data between various systems and connect various systems into an orderly whole.
From manual operation of ERP to RPA operation of ERP, in fact, a man-machine cooperation layer is formed between people and software. The simple and repeated process is handed over to RPA, and the decision-making process is handed over to others.
This man-machine cooperation mode is becoming the mainstream mode of enterprise operation. In the future, the RPA centered process form for various management software will become the main body of organizational operation, and RPA will take over more and more enterprise management software. While taking over more management software, RPA will also become an indispensable enterprise management software for organizations.
From 2022, the enterprise application attribute of RPA will be further enhanced and become the standard configuration of enterprise operation.
[Wang Jiwei channel focuses on TMT and IOT, focusing on digital transformation, business process automation and RPA.]