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Artificial Intelligence in Accounting Market
Artificial Intelligence in Accounting Market By Application (Automated Bookkeeping, Fraud and Risk Management, and Invoice Classification and Approvals), Component, Deployment Mode, Technology, Enterprise Size - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competive Index & Regional Footprints by MarketDigits - Forecast 2024-2032
Industry : Information Technology | Pages : 149 Pages | Published On : Mar 2024
The latest report on Artificial Intelligence in Accounting Market understands market size estimates, forecasts, market shares, competition analysis, along with industry trends of Artificial Intelligence in Accounting with emphasis on market timelines and technology roadmaps analysis.
The Artificial Intelligence in Accounting market is segmented by Technology, Component, Deployment Mode, Enterprise Size, Application, Region. The research covers the current and historic Artificial Intelligence in Accounting market size and its growth trend with company outline of key players: Microsoft, AWS, Xero, Intuit, Sage, OSP, UiPath, Kore.AI, AppZen, YayPay, IBM, Google, EY, Deloitte, PwC, KPMG, SMACC, OneUp, Vic.AI, Hyper Anna, Botkeeper, MindBridge Analytics, Bill.Com.
Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings.
Artificial Intelligence in Accounting Market Size
| Report | Details |
|---|---|
| Market Size Value | USD 1.1849 billion in 2024 |
| Market Size Value | USD 23.6 billion by 2032 |
| CAGR | 39.4% |
| Forecast Period | 2024-2032 |
| Base Year | 2023 |
| Historic Data | 2020 |
| Segments Covered | xxxx |
| Geographics Covered | North America, Latin America, Europe, Asia-Pacific, Middle East & Africa |
Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions.
The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.
Market Analysis and Insights: Artificial Intelligence in Accounting Market Analysis & Insights
Artificial Intelligence in Accounting Market Scope and Market Size
Artificial Intelligence in Accounting market is segmented by Technology, Component, Deployment Mode, Enterprise Size, Application, Region. Players, stakeholders, and other participants in the global Artificial Intelligence in Accounting market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2022-2028.
Report further studies the market development status and future and Artificial Intelligence in Accounting Market trend across the world. Also, it splits Artificial Intelligence in Accounting market segmentation by Technology, Component, Deployment Mode, Enterprise Size, Application, Region to deep dive research and reveals market profile and prospects.
Artificial Intelligence in Accounting Market Segments Covered in the Report
By Technology:
- Machine Learning (ML) and Deep Learning
- NLP
By Component:
-
- Solutions
- Software Tools
- Platforms
- Services
- Solutions
- Professional Services
- Managed Services
By Deployment Mode:
- Cloud
- On-premises
By Enterprise Size:
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
By Application:
- Automated Bookkeeping
- Invoice Classification and Approvals
- Fraud and Risk Management
- Reporting
- Others (Expense and Auditing Management, and Tax and Revenue Filing)
By Region
- North America
- US
- Canada
- Europe
- UK
- Germany
- Franc
- Rest of Europe
- Asia-Pacific (APAC)
- China
- Japan
- India
- Rest of APAC
- Rest of the World (RoW)
- Middle East
- Africa
- South America
Reason to purchase this Artificial Intelligence in Accounting Market Report:
- Determine prospective investment areas based on a detailed trend analysis of the global Artificial Intelligence in Accounting Market over the next years.
- Gain an in-depth understanding of the underlying factors driving demand for different and Artificial Intelligence in Accounting market segments in the top spending countries across the world and identify the opportunities offered by each of them.
- Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
- Identify the major channels that are driving the global Artificial Intelligence in Accounting market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
- Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global Artificial Intelligence in Accounting market.
- Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top Artificial Intelligence in Accounting market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.
Table of Contents: 1. EXECUTIVE SUMMARY 2. INTRODUCTION 2.1. Key Takeaways 2.2. Report Description 2.3. Market Scope & Definition 2.4. Stakeholders 2.5. Research Methodology 2.5.1. Market Size 2.5.2. Key Data Points From Primary Sources 2.5.3. Key Data Points From Secondary Sources 2.5.4. List Of Primary Sources 2.5.5. List Of Secondary Sources 3. MARKET OVERVIEW 3.1. Industry Segmentation 3.2. Market Trends Analysis 3.3. Major Funding & Investments 3.4. Market Dynamics 3.4.1. Drivers 3.4.2. Restraints 3.4.3. Opportunities 3.5. Value Chain Analysis 3.6. Pricing Analysis 4. IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN ACCOUNTING MARKET 4.1. Impact Of Covid-19 On Artificial Intelligence in Accounting Market, By Technology 4.2. Impact Of Covid-19 On Artificial Intelligence in Accounting Market, By Component 4.3. Impact Of Covid-19 On Artificial Intelligence in Accounting Market, By Deployment Mode 4.4. Impact Of Covid-19 On Artificial Intelligence in Accounting Market, By Enterprise Size 4.5. Impact Of Covid-19 On Artificial Intelligence in Accounting Market, By Application 4.6. Impact of Covid-19 On Artificial Intelligence in Accounting Market, By Region 5. ARTIFICIAL INTELLIGENCE IN ACCOUNTING MARKET, BY TECHNOLOGY 5.1. Introduction 5.2. Machine Learning (ML) and Deep Learning 5.3. NLP 6. ARTIFICIAL INTELLIGENCE IN ACCOUNTING MARKET, BY COMPONENT 6.1. Introduction 6.2. Software 6.3. Services 7. ARTIFICIAL INTELLIGENCE IN ACCOUNTING MARKET, BY DEPLOYMENT MODE 7.1. Introduction 7.2. Cloud 7.3. On-premises 8. ARTIFICIAL INTELLIGENCE IN ACCOUNTING MARKET, BY ENTERPRISE SIZE 8.1. Introduction 8.2. Large Enterprises 8.3. Small and Medium-sized Enterprises (SMEs) 9. ARTIFICIAL INTELLIGENCE IN ACCOUNTING MARKET, BY APPLICATION 9.1. Introduction 9.2. Automated Bookkeeping 9.3. Invoice Classification and Approvals 9.4. Fraud and Risk Management 9.5. Reporting 9.6. Others (Expense and Auditing Management, and Tax and Revenue Filing) 10. ARTIFICIAL INTELLIGENCE IN ACCOUNTING MARKET, BY GEOGRAPHY 10.1. Introduction 10.2. North America 10.2.1. U.S. 10.2.2. Canada 10.3. Europe 10.3.1. Germany 10.3.2. U.K. 10.3.3. France 10.3.4. Rest of Europe 10.4. Asia Pacific 10.4.1. China 10.4.2. Japan 10.4.3. India 10.4.4. Rest Of Asia Pacific 10.5. Rest of the World 10.5.1. Middle East 10.5.2. Africa 10.5.3. Latin America 11. COMPETITIVE ANALYSIS 11.1. Introduction 11.2. Top Companies Ranking 11.3. Market Share Analysis 11.4. Recent Developments 11.4.1. New Product Launch 11.4.2. Mergers & Acquisitions 11.4.3. Collaborations, Partnerships & Agreements 11.4.4. Rewards & Recognition 12. COMPANY PROFILES 12.1. Microsoft 12.2. AWS 12.3. Xero 12.4. Intuit 12.5. Sage 12.6. OSP 12.7. UiPath 12.8. Kore.AI 12.9. AppZen 12.10. YayPay 12.11. IBM 12.12. Google 12.13. EY 12.14. Deloitte 12.15. PwC 12.16. KPMG 12.17. SMACC 12.18. OneUp 12.19. Vic.AI 12.20. Hyper Anna 12.21. Botkeeper 12.22. MindBridge Analytics 12.23. Bill.Com
TOC
Table and Figures
Methodology:
At MarketDigits, we take immense pride in our 360° Research Methodology, which serves as the cornerstone of our research process. It represents a rigorous and comprehensive approach that goes beyond traditional methods to provide a holistic understanding of industry dynamics.
This methodology is built upon the integration of all seven research methodologies developed by MarketDigits, a renowned global research and consulting firm. By leveraging the collective strength of these methodologies, we are able to deliver a 360° view of the challenges, trends, and issues impacting your industry.
The first step of our 360° Research Methodology™ involves conducting extensive primary research, which involves gathering first-hand information through interviews, surveys, and interactions with industry experts, key stakeholders, and market participants. This approach enables us to gather valuable insights and perspectives directly from the source.
Secondary research is another crucial component of our methodology. It involves a deep dive into various data sources, including industry reports, market databases, scholarly articles, and regulatory documents. This helps us gather a wide range of information, validate findings, and provide a comprehensive understanding of the industry landscape.
Furthermore, our methodology incorporates technology-based research techniques, such as data mining, text analytics, and predictive modelling, to uncover hidden patterns, correlations, and trends within the data. This data-driven approach enhances the accuracy and reliability of our analysis, enabling us to make informed and actionable recommendations.
In addition, our analysts bring their industry expertise and domain knowledge to bear on the research process. Their deep understanding of market dynamics, emerging trends, and future prospects allows for insightful interpretation of the data and identification of strategic opportunities.
To ensure the highest level of quality and reliability, our research process undergoes rigorous validation and verification. This includes cross-referencing and triangulation of data from multiple sources, as well as peer reviews and expert consultations.
The result of our 360° Research Methodology is a comprehensive and robust research report that empowers you to make well-informed business decisions. It provides a panoramic view of the industry landscape, helping you navigate challenges, seize opportunities, and stay ahead of the competition.
In summary, our 360° Research Methodology is designed to provide you with a deep understanding of your industry by integrating various research techniques, industry expertise, and data-driven analysis. It ensures that every business decision you make is based on a well-triangulated and comprehensive research experience.
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Covered Key Topics
Growth Opportunities
Market Growth Drivers
Leading Market Players
Company Market Share
Market Size and Growth Rate
Market Trend and Technological
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