会計における人工知能（AI）の世界市場予測（～2024年）...市場調査レポートについてご紹介

1 Introduction (Page No. – 16)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders
2 Research Methodology (Page No. – 20)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Assumptions for the Study
2.6 Limitations of the Study
3 Executive Summary (Page No. – 27)
4 Premium Insights (Page No. – 33)
4.1 Attractive Market Opportunities in the Artificial Intelligence in Accounting Market
4.2 Market Top 3 Applications
4.3 Market By Region
4.4 Market in North America, By Application and Deployment Mode
5 Market Overview and Industry Trends (Page No. – 35)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Growing Need to Automate Accounting Processes
5.2.1.2 Need for Enhanced Data-Based Advisory and Decision-Making
5.2.2 Restraints
5.2.2.1 Lack of Skillsets and Resistance to Change
5.2.2.2 Untapped Potential of AI in Accounting
5.2.3 Opportunities
5.2.3.1 Increasing Demand for Intelligent Accounting Processes
5.2.3.2 Growing Focus on Innovation for Integrating AI in Accounting
5.2.4 Challenges
5.2.4.1 High Criticality of Data Volume and Quality
5.2.4.2 Investment Related Issues With Integration of AI in Accounting
5.3 Use Cases
5.3.1 Use Case: Scenario 1
5.3.2 Use Case: Scenario 2
5.3.3 Use Case: Scenario 3
5.3.4 Use Case: Scenario 4
5.3.5 Use Case: Scenario 5
5.3.6 Use Case: Scenario 6
5.4 Regulatory Implications
5.4.1 General Data Protection Regulation
5.4.2 International Financial Reporting Standards
5.4.3 Federal Trade Commission
5.4.4 International Organization for Standardization/International Electrotechnical Commission Standards
5.4.4.1 ISO/IEC JTC 1
5.4.4.2 ISO/IEC JTC 1/SC 42
6 Artificial Intelligence in Accounting Market, By Component (Page No. – 44)
6.1 Introduction
6.2 Solutions
6.2.1 Software Tools
6.2.1.1 Growing Demand for Software Tools to Enable Easy Integration of AI in the Existing Accounting Architecture
6.2.2 Platforms
6.2.2.1 Platforms to Provide A Complete Foundation for Designing AI in Accounting Solutions in Various Applications
6.3 Services
6.3.1 Professional Services
6.3.1.1 Increase in Technicalities in the Deployment and Implementation of AI in Accounting Solutions to Drive the Demand for Professional Services
6.3.2 Managed Services
6.3.2.1 Growing Need for Organizations to Focus on Core Operations and Streamline Accounting Processes to Drive the Demand for Managed Services
7 Market By Deployment Mode (Page No. – 50)
7.1 Introduction
7.2 Cloud
7.2.1 Benefits of Cloud-Based Solutions to Drive Its Adoption in the Market
7.3 On-Premises
7.3.1 Data Integrity and Security Offered By On-Premises Solutions to Drive Its Adoption in the Market
8 Market By Technology (Page No. – 53)
8.1 Introduction
8.2 Machine Learning and Deep Learning
8.2.1 Growing Demand to Identify Patterns, Analyze Accounting Data, and Enhance Decision-Making to Drive the Adoption of Ml and Deep Learning in the Market
8.3 Natural Language Processing
8.3.1 Several Functionalities of Natural Language Processing to Drive Its Adoption in the Market
9 Artificial Intelligence in Accounting Market, By Enterprise Size (Page No. – 57)
9.1 Introduction
9.2 Large Enterprises
9.2.1 Need to Manage Large Volumes of Accounting Data Being Generated From Multiple Business Units and Transactions to Drive the Adoption of the Market in Large Enterprises
9.3 Small and Medium-Sized Enterprises
9.3.1 Demand for Automating Mundane Accounting Tasks to Overcome the Lack of Skilled Workforce to Drive the Adoption of the Market in Small and Medium-Sized Enterprises
10 Market By Application (Page No. – 60)
10.1 Introduction
10.2 Automated Bookkeeping
10.2.1 Need to Automate Data Collection, Efficiently Handle Paperwork, Minimize Inconsistencies, and Extract Insights to Support Advisory to Drive the Adoption of the Market for the Automated Bookkeeping Application
10.3 Invoice Classification and Approvals
10.3.1 10.3.1 Analysis of Numerous Invoices and Contracts, While Ensuring Data Accuracy and Maintaining the Accounting Speed to Compel Organizations to Adopt AI in Accounting Solutions and Services
10.4 Fraud and Risk Management
10.4.1 Increasing Data Risks and the Need for Enhanced Data Accuracy and Protection to Drive the Adoption of the Market
10.5 Reporting
10.5.1 Need to Eliminate Time-Consuming Reporting Tasks and Comply By Regulatory Requirements to Drive the Adoption of AI in Reporting Applications
10.6 Others
11 Artificial Intelligence in Accounting Market By Region (Page No. – 65)
11.1 Introduction
11.2 North America
11.2.1 United States
11.2.1.1 Need to Automate Monotonous Accounting Processes and Support Enhanced Decision-Making to Fuel the Demand for AI in Accounting in the US
11.2.2 Canada
11.2.2.1 Government Push to Integrate AI in Business Processes to Boost the Adoption of AI in Accounting Solutions and Services in Canada
11.3 Europe
11.3.1 Germany
11.3.1.1 Strong Infrastructure and Highly Skilled Workforce to Boost Investments in AI in Accounting in Germany
11.3.2 United Kingdom
11.3.2.1 Government’s Focus on Innovation and Research to Fuel the Adoption of AI in Accounting in the UK
11.3.3 France
11.3.3.1 Focus on R&D and Rapid Growth in AI in Accounting Startups to Drive the Growth of Market in France
11.3.4 Rest of Europe
11.4 Asia Pacific
11.4.1 China
11.4.1.1 Development of Relevant Policies and Regulations to Shape the Growth of Market in China
11.4.2 Japan
11.4.2.1 Rapid Decline in Labor Force and Limited Arrival of Immigrants to Drive Automation of Mundane Tasks and Create Growth Potential for AI in Accounting in Japan
11.4.3 India
11.4.3.1 Government Push for the Adoption of AI By Businesses and the Need for Automation of Business Processes to Drive the Adoption of AI in Accounting in India
11.4.4 Australia
11.4.4.1 Increasing Investments, Industrial Developments, and Focus on Elimination of Middleman in Accounting to Drive the Adoption of AI in Accounting in Australia
11.4.5 Rest of Asia Pacific
11.5 Middle East and Africa
11.5.1 United Arab Emirates
11.5.1.1 Implementation of UAE AI 2031 Strategy to Encourage Organizations to Adopt AI in Accounting Solutions and Services
11.5.2 South Africa
11.5.2.1 Focus on R&D and Government Initiatives to Boost the Growth of Market in South Africa
11.5.3 Rest of Middle East and Africa
11.6 Latin America
11.6.1 Brazil
11.6.1.1 Public and Private Sectors’ Focus on the Development of AI to Drive the Adoption of AI in Accounting in Brazil
11.6.2 Mexico
11.6.2.1 Government Initiatives to Drive the Adoption of AI in Accounting in Mexico
11.6.3 Rest of Latin America
12 Competitive Landscape (Page No. – 99)
12.1 Overview
12.2 Competitive Leadership Mapping
12.2.1 Visionary Leaders
12.2.2 Innovators
12.2.3 Dynamic Differentiators
12.2.4 Emerging Companies
12.3 Strength of Product Portfolio
12.4 Business Strategy Excellence
13 Company Profiles (Page No. – 103)
13.1 Introduction
(Business Overview, Products, Solutions, Platforms & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.2 Microsoft
13.3 AWS
13.4 Xero
13.5 Intuit
13.6 Sage
13.7 OSP
13.8 UiPath
13.9 Kore.AI
13.1 AppZen
13.11 YayPay
13.12 IBM
13.13 Google
13.14 EY
13.15 Deloitte
13.16 PwC
13.17 KPMG
13.18 SMACC
13.19 OneUp
13.20 Vic.AI
13.21 Hyper Anna
13.22 Botkeeper
13.23 MindBridge Analytics
13.24 Bill.Com
*Details on Business Overview, Products, Solutions,Platforms & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.
14 Appendix (Page No. – 137)
14.1 Industry Experts
14.2 Discussion Guide
14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.4 Available Customizations
14.5 Related Reports
14.6 Author Details