AI in the bookkeeping market - Forecasts from 2024 to 2029

AI in the bookkeeping market - Forecasts from 2024 to 2029


The AI in the bookkeeping market is expected to grow at a CAGR of 43.26%, reaching a market size of US$24.645 billion in 2029 from US$8.463 billion in 2024.

Artificial intelligence (AI) in bookkeeping is referred to as the employment of AI technology to streamline and enhance many aspects of accounting and bookkeeping work by removing human involvement. These technologies leverage machine learning (ML), natural language processing (NLP), and other AI technologies for financial data analysis, transaction categorization, account reconciliation, report generation, and other routine bookkeeping functions. Moreover, AI can be of help in modern bookkeeping practices: automated data entry, transaction screening, reconciliation, and generation of financial statements. AI-equipped programs are capable of receiving and processing costs-related documents such as receipts or invoices, thus eliminating the need to input such data manually.

In universities, AI can provide insight into transaction data to classify expenditure, income, and any other entries into their appropriate categories for easy financial management. AI systems that carry out reconciliations can compare transactions in billing records, bank statements, and general ledgers to find differences and resolve them. AI can also prepare and customize financial or business activity reports according to the user’s specifications by forecasting cash flow, net income, or other essential ratios.

AI in the bookkeeping market drivers
Increasing automation demand is contributing to AI in the bookkeeping market growth

Automation optimizes entry and bookkeeping procedures by reducing the extent of involvement by personnel in registering, sorting, and matching operations. AI-driven systems may perform repetitive tasks faster and more accurately than humans, saving time and increasing production. AP AUTONOMY increases team efficiency by enabling faster and more accurate invoice processing than traditional accounting automation products based on templates and rules. AI-based AP Autonomy transforms outdated Optical Character Recognition systems and rule-based methods to automate processes with a quicker and more precise solution.

In general, the increasing need for automation is leading to more applications of Artificial Intelligence in accounting as companies are looking for efficiency in processes, cost reduction, improved precision, and effective utilization of financial data.

Geographical outlooks of AI in the bookkeeping market:
North America is witnessing exponential growth during the forecast period


The region is acclaimed for technical advancements, especially in the United States. This is because of the region's numerous digital enterprises and research centers and Vic.ai, Bill, Docyt AI, and Zoho’s subsidiaries - DORA, rent, and outsource- which provide a wide array of bookkeeping solutions.

However, most North American corporations, especially large companies and modern startups, are the first to implement the technologies including Artificial Intelligence. They understand the possible advantages of AI in attaining high efficiency, accuracy, and cost-effectiveness in bookkeeping processes, hence the increase in the investment aimed at AI-enhanced solutions. It is important to note that this region holds a significant share of the AI bookkeeping market because it effectively leverages the technology. Additionally, this area is a hub for most innovations in financial processes.

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Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
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Report Coverage:

Historical data & forecasts from 2022 to 2029
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI in the bookkeeping market is analyzed into the following segments:

By Organizational Size

Small-size organization
Medium-size organization
Large-size organization

By Deployment

Cloud
On-Premise

By Application

Machine learning
Invoice Classification and Approval Source
Compare employee expense reports
Track changes in prices
Others

By Geography

North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
Germany
France
UK
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Israel
Others
Asia Pacific
China
Japan
India
South Korea
Indonesia
Taiwan
Others


1. Introduction
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key Benefits to the Stakeholder
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Processes
3. EXECUTIVE SUMMARY
3.1. Key Findings
3.2. CXO Perspective
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter’s Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View
5. AI IN THE BOOKKEEPING MARKET BY ORGANIZATIONAL SIZE
5.1. Introduction
5.2. Small-size organization
5.3. Medium-size organization
5.4. Large-size organization
6. AI IN THE BOOKKEEPING MARKET BY DEPLOYMENT
6.1. Introduction
6.2. Cloud
6.3. On-Premise
7. AI IN THE BOOKKEEPING MARKET BY APPLICATION
7.1. Introduction
7.2. Machine learning
7.3. Invoice Classification and Approval Source
7.4. Compare employee expense reports
7.5. Track changes in prices
7.6. Others
8. AI IN THE BOOKKEEPING MARKET BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. By Organizational Size
8.2.2. By Deployment
8.2.3. By Application
8.2.4. By Country
8.2.4.1. USA
8.2.4.2. Canada
8.2.4.3. Mexico
8.3. South America
8.3.1. By Organizational Size
8.3.2. By Deployment
8.3.3. By Application
8.3.4. By Country
8.3.4.1. Brazil
8.3.4.2. Argentina
8.3.4.3. Others
8.4. Europe
8.4.1. By Organizational Size
8.4.2. By Deployment
8.4.3. By Application
8.4.4. By Country
8.4.4.1. Germany
8.4.4.2. France
8.4.4.3. UK
8.4.4.4. Spain
8.4.4.5. Others
8.5. Middle East and Africa
8.5.1. By Organizational Size
8.5.2. By Deployment
8.5.3. By Application
8.5.4. By Country
8.5.4.1. Saudi Arabia
8.5.4.2. UAE
8.5.4.3. Israel
8.5.4.4. Others
8.6. Asia Pacific
8.6.1. By Organizational Size
8.6.2. By Deployment
8.6.3. By Application
8.6.4. By Country
8.6.4.1. China
8.6.4.2. Japan
8.6.4.3. India
8.6.4.4. South Korea
8.6.4.5. Indonesia
8.6.4.6. Taiwan
8.6.4.7. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. Zeni
10.2. Book.ai
10.3. Clickup
10.4. Vic.ai
10.5. Bill
10.6. Docyt AI
10.7. Zoho
10.8. QuickBooks
10.9. Truewind
10.10. Blue dot VATBox Ltd.

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