Report Scope & Overview:

Artificial Intelligence in Accounting Market size was valued at USD1.99 Bn in 2022 and is expected to reach at USD 39.57 Bn by 2030, and grow at a CAGR of 45.31% over the forecast period 2023-2030.

Artificial intelligence (AI) has risen to prominence as a result of its capacity to learn and adapt. AI is significantly more advantageous for data-driven businesses like accounting and finance since it not only performs without human interference but also extracts correct results from a big quantity of data. While the need for AI in digital marketing and finance is skyrocketing, the accounting industry is reporting broad use of the technology.

Artificial Intelligence in Accounting Market Revenue Analysis

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New technologies are shaping Industry 4.0 in every sector, with intelligent responses to shifting customer, supplier, vendor, and partner expectations. Automation allows workers to save 80-90 percent of the time they would have spent manually completing divergent and repetitive jobs. It also improves the output quality by decreasing human mistakes.

Almost all accounting functions, including payroll, tax, banking, and audits, have been automated by AI, causing disruption in the accounting sector and a significant shift in how business is conducted. Robotic Process Automation (RPA) may perform repetitive activities incorporate processes, such as document or data processing, with incredible efficiency. The financial staff can no longer be slowed down by non-value-added duties thanks to RPA. Instead, they might concentrate on taking on more strategic and advising roles.



  • A growing need for accounting process automation.

  • Data to aid with complete advice and decision-making.

  • Increasing reliance on AI software to complete time-consuming and difficult activities.


  • The possibility of data leaks

  • The volume of accounting data is always growing.


  • More possibilities are foreseen in the accounting area, such as data analytics and processing.

  • A rise in the number of distinct invoicing and contract languages and formats, and the use of natural language processing.


  • Professionals in finance and accounting must make the transition and acquire the appropriate skills and expertise.


Almost every sector in the world has suffered a setback in the last 18 months. This can be attributed to significant disruptions in their respective manufacturing and supply chains as a result of various precautionary lockdowns and other restrictions implemented by governments throughout the world. The global Artificial Intelligence market in accounting is no exception. Furthermore, consumer demand has decreased as people are now more focused on cutting non-essential spending from their budgets since the overall economic situation of most people has been badly impacted by the epidemic.

Over the forecast period, the aforementioned factors are likely to weigh on the worldwide Artificial Intelligence in the Accounting market's revenue trajectory. The worldwide Artificial Intelligence in Accounting market is predicted to revive as various government agencies begin to lift these enforced lockdowns.


As the volume of accounting data expands, data management will become a challenge for accounting departments. The capacity to comprehend human speech is one of the key principles in Natural Language Processing (NLP). Without NLP, implementing voice control over many technologies would be difficult. Furthermore, NLP enables users to incorporate not only voice recognition but also localization capabilities into devices and sensors, resulting in creative translation. Machine translation, information extraction, report production, question answering, gathering data giving context, and determining the user's intent are all examples of NLP applications. NLP is used in accounting in areas like as invoice categorization and interpretation, as well as contract interpretation. Major AI in accounting providers is working on giving NLP integrated solutions as contract and invoice languages and formats become more varied. With the improving regulatory and compliance framework for data, NLP technology in AI in accounting is evolving at a rapid pace.

In the Artificial Intelligence in Accounting Market, services are predicted to increase at a faster rate than components. The rising use of AI in accounting software tools and solutions is driving up demand for pre-and post-deployment services, which is driving the expansion of the services segment. The simplicity of integrating pre-built solutions with existing accounting infrastructure is expected to boost the solutions category to a bigger market size. The expanding number of accounting-related innovations and collaborations, as well as the focus on automating repetitive accounting activities to improve efficiency, are all drivers driving adoption.


 On The Basis of Application:

  • Invoice Classification and Approvals

  • Automated Bookkeeping

  • Reporting

  • Fraud and Risk Management

  • Others

On The Basis of Component:

  • Services

    • Professional Services

    • Managed Services

  • Solutions

    • Software Tools

    • Enterprise Sizes

On The Basis of Deployment:

  • Cloud

  • On-Premises

On The Basis of organization size:

  • Large Enterprises

  • SMEs

Artificial Intelligence in Accounting Market Segmentation Analysis

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In the worldwide Artificial Intelligence in Accounting Market, North America is a prominent revenue generator. In the accounting field, the region is seeing the most advancements in AI. The majority of AI-based solution providers in the region are continually working on new products and deploying AI-based accounting solutions and services. To increase their position in the AI in the accounting market, manufacturers throughout the area are employing a variety of growth tactics, including product enhancements and new releases, alliances, and acquisitions.


  • North America

    • USA

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • The Netherlands

    • Rest of Europe

  • Asia-Pacific

    • Japan

    • south Korea

    • China

    • India

    • Australia

    • Rest of Asia-Pacific

  • The Middle East & Africa

    • Israel

    • UAE

    • South Africa

    • Rest of Middle East & Africa

  • Latin America

    • Brazil

    • Argentina

    • Rest of Latin America


Businesses in the Artificial Intelligence in the Accounting industry are increasingly more active with beginning tactics such as targeted marketing, CSR initiatives, and other approaches to increase their global significance. In-depth analysis of the Artificial Intelligence in Accounting market, covering competitive landscape, prospective development possibilities, and potential hazards, as well as information on several market competitors, including AWS, Microsoft, Intuit, Xero, Sage, UiPath, OSP, AppZen,, IBM, YayPay.

Microsoft - Company Financial Analysis

Artificial Intelligence in Accounting Market Report Scope:
Report Attributes Details
Market Size in 2022  USD 1.99 Bn
Market Size by 2030  USD 39.57 Bn
CAGR   CAGR of 45.31% From 2023 to 2030
Base Year  2022
Forecast Period  2023-2030
Historical Data  2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • by Application (Invoice Classification and Approvals, Automated Bookkeeping, Reporting, Fraud and Risk Management, Others)
• by Component (Services [Professional Services and Managed Services], Solutions [Software Tools and Enterprise Sizes])
• by Deployment (Cloud and On-Premises)
• by Organization size (Large Enterprises and SMEs)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles AWS, Microsoft, Intuit, Xero, Sage, UiPath, OSP, AppZen,, IBM, YayPay
Key Drivers • A growing need for accounting process automation.
• Data to aid with complete advice and decision-making.
Market Opportunities • More possibilities are foreseen in the accounting area, such as data analytics and processing.
• A rise in the number of distinct invoicing and contract languages and formats, and the use of natural language processing.

Frequently Asked Questions

Ans:- The forecast period of the  Artificial Intelligence in Accounting market is 2022-2028.

Ans:-   The most important restraining factor is the possibility of data leaks.

Ans:- In the worldwide Artificial Intelligence in Accounting Market, North America is a leading dominating region for market share.

Ans:- The primary growth tactics of Artificial Intelligence in Accounting market participants include merger and acquisition, business expansion, and product launch.

Ans:- the key stakeholders of the Artificial Intelligence in Accounting market are Raw material vendors, Regulatory authorities, including government agencies Commercial research & development (R&D) institutions etc.

Table of Contents


1. Introduction

1.1 Market Definition 

1.2 Scope

1.3 Research Assumptions


2. Research Methodology


3. Market Dynamics

3.1 Drivers

3.2 Restraints

3.3 Opportunities

3.4 Challenges 


4. Impact Analysis

4.1 COVID-19 Impact Analysis

4.2 Impact of Ukraine- Russia war

4.3 Impact of ongoing Recession

4.3.1 Introduction

4.3.2 Impact on major economies US Canada Germany France United Kingdom China Japan South Korea Rest of the World


5. Value Chain Analysis


6. Porter’s 5 forces model


7. PEST Analysis


8. Artificial Intelligence in Accounting Market Segmentation, by Application

8.1 Invoice Classification and Approvals

8.2 Automated Bookkeeping

8.3 Reporting

8.4 Fraud and Risk Management

8.5 Others


9. Artificial Intelligence in Accounting Market Segmentation, by Component

9.1 Services

9.1.1 Professional Services

9.1.2 Managed Services

9.2 Solutions

9.2.1 Software Tools

9.2.2 Enterprise Sizes


10. Artificial Intelligence in Accounting Market Segmentation, by Deployment

10.1 Cloud

10.2 On-Premises


11. Artificial Intelligence in Accounting Market Segmentation, by Organization size

11.1 Large Enterprise

11.2 SMEs


12. Regional Analysis

12.1 Introduction

12.2 North America

12.2.1 USA

12.2.2 Canada

12.2.3 Mexico

12.3 Europe

12.3.1 Germany

12.3.2 UK

12.3.3 France

12.3.4 Italy

12.3.5 Spain

12.3.6 The Netherlands

12.3.7 Rest of Europe

12.4 Asia-Pacific

12.4.1 Japan

12.4.2 South Korea

12.4.3 China

12.4.4 India

12.4.5 Australia

12.4.6 Rest of Asia-Pacific

12.5 The Middle East & Africa

12.5.1 Israel

12.5.2 UAE

12.5.3 South Africa

12.5.4 Rest

12.6 Latin America

12.6.1 Brazil

12.6.2 Argentina

12.6.3 Rest of Latin America


13. Company Profiles

13.1 AWS

13.1.1 Financial

13.1.2 Products/ Services Offered

13.1.3 SWOT Analysis

13.1.4 The SNS view

13.2 Microsoft

13.3 Intuit

13.4 Xero

13.5 Sage

13.6 UiPath

13.7 OSP

13.8 AppZen


13.10 IBM

13.11 YayPay.


14. Competitive Landscape

14.1 Competitive Benchmarking

14.2 Market Share Analysis

14.3 Recent Developments


15. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

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The 5 steps process:

Step 1: Secondary Research:

Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.

Secondary Research

Step 2: Primary Research

When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data.  This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.

We at SNS Insider have divided Primary Research into 2 parts.

Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.

This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.

Primary Research

Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.

Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.

Step 3: Data Bank Validation

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Data Bank Validation

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