The global artificial intelligence (AI) software market size was exhibited at USD 138.4 billion in 2022 and is projected to hit around USD 1,094.52 billion by 2032, growing at a CAGR of 22.97% during the forecast period 2023 to 2032.
Key Pointers:
COVID-19 Scenario Analysis:
Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the WHO declaring it a public health emergency. The global impacts of the disease are already starting to be felt, and expected to significantly affect the artificial intelligence software market in 2020.
Worldwide lockdowns have resulted into business shutdowns, however, AI software based chatbots help businesses to resolve their clients queries without letting them know to whom they are talking and help them to improve their efficiency.
To stop the spread of COVID-19, all schools, colleges, and educational institutions are shut down. Thus, the education sector has adopted AI software, which helps institutions to get better data insights about their students to know how they are performing and where they need to improve.
AI software also help in the healthcare sector by learning from data insights and use of predictive analysis for better patient monitoring and improved care.
Artificial Intelligence (AI) Software Market Report Scope
Report Coverage |
Details |
Market Size in 2023 |
USD 138.4 Billion |
Market Size by 2032 |
USD 1,094.52 Billion |
Growth Rate From 2023 to 2032 |
CAGR of 22.97% |
Base Year |
2022 |
Forecast Period |
2023 to 2032 |
Segments Covered |
By Deployment Model, By Offering, By Application, By End-User |
Market Analysis (Terms Used) |
Value (US$ Million/Billion) or (Volume/Units) |
Regional Scope |
North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa |
Key Companies Profiled |
Advanced Micro Devices, Baidu, Inc., Atomwise, Inc., International Business Machines Corporation, Oracle, Cisco, Google LLC, Intel Corporation, Microsoft, Lifegraph, Cyrcadia Health and Others. |
Artificial intelligence (AI) software is a mainframe program that duplicates human behavior by learning from different insights and data patterns. Various types of AI software include artificial intelligence platforms, chatbots, deep learning software, and machine learning software. Furthermore, AI software have number of features such as virtual assistant, voice and speech recognition, and machine learning. Various types of businesses use artificial intelligence software integrated with machine learning to streamline their business processes and structure their data to get better data insights. In addition, owing to rise in technology advancements, the AI software market is expected to witness exponential growth in the future.
Rise in adoption of cloud-based applications and services and focus on improvement of operational efficiency in enterprises are the major factors that drive artificial intelligence software market growth. In addition, increase in demand for intelligent virtual assistants and growth in adoption of big data analytics among SMEs are expected to supplement the artificial intelligence software market growth. However, lack of technical expertise and management of complex software hamper the market growth. Furthermore, adoption of various technologies such as internet of things (IoT), machine learning, and industry 4.0. is expected to provide lucrative opportunities for the global artificial intelligence software market.
Big data has a key role in data mining and handling enormous amount of data generated. It is considered among the emerging trends in the artificial intelligence market. In addition, rise in amount of structured and unstructured data in organizations creates demand for big data applications. AI and big data help in analyzing information by learning from patterns and helping companies to take smart decisions. Hence, enterprises are implementing big data enabled AI solutions.
By region, the artificial intelligence software market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East & Africa. Geographically, North America holds the largest revenue share of more than 43% in 2022 due to rising investments. The North American region's manufacturing, retail, and healthcare industries have shown significant growth in the artificial intelligence software market during the post-Covid-19 pandemic. The implementation of 5G technology is projected to boost the artificial intelligence software market in the Asia Pacific region. The presence of major key players in China, such as Huawei, Baidu, Inc. & Alibaba Cloud, push the artificial intelligence software market towards growth.
The market in the Middle East region is expected to grow in upcoming years with the government's noticeable initiatives. The Saudi Arabian government has developed Saudi Data and AI Authority (SDAIA), which aims to position Saudi Arabia in the top 10 countries in artificial intelligence.
Some of the prominent players in the Artificial Intelligence (AI) Software Market include:
Segments Covered in the Report
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global Artificial Intelligence (AI) Software market.
By Deployment Model
By Offering
By Application
By End-User
By Region
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) Software Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) Software Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence (AI) Software Market, By Deployment Model
8.1. Artificial Intelligence (AI) Software Market, by Deployment Model, 2022-2032
8.1.1. On-premises
8.1.1.1. Market Revenue and Forecast (2022-2032)
8.1.2. Cloud
8.1.2.1. Market Revenue and Forecast (2022-2032)
Chapter 9. Global Artificial Intelligence (AI) Software Market, By Offering
9.1. Artificial Intelligence (AI) Software Market, by Offering, 2022-2032
9.1.1. Hardware
9.1.1.1. Market Revenue and Forecast (2022-2032)
9.1.2. Software
9.1.2.1. Market Revenue and Forecast (2022-2032)
9.1.3. Services
9.1.3.1. Market Revenue and Forecast (2022-2032)
Chapter 10. Global Artificial Intelligence (AI) Software Market, By Application
10.1. Artificial Intelligence (AI) Software Market, by Application, 2022-2032
10.1.1. Voice Processing
10.1.1.1. Market Revenue and Forecast (2022-2032)
10.1.2. Text Processing
10.1.2.1. Market Revenue and Forecast (2022-2032)
10.1.3. Image Processing
10.1.3.1. Market Revenue and Forecast (2022-2032)
Chapter 11. Global Artificial Intelligence (AI) Software Market, By End-User
11.1. Artificial Intelligence (AI) Software Market, by End-User, 2022-2032
11.1.1. Healthcare
11.1.1.1. Market Revenue and Forecast (2022-2032)
11.1.2. BFSI
11.1.2.1. Market Revenue and Forecast (2022-2032)
11.1.3. Law
11.1.3.1. Market Revenue and Forecast (2022-2032)
11.1.4. Retail
11.1.4.1. Market Revenue and Forecast (2022-2032)
11.1.5. Automotive & Transportation
11.1.5.1. Market Revenue and Forecast (2022-2032)
11.1.6. Agriculture
11.1.6.1. Market Revenue and Forecast (2022-2032)
11.1.7. Manufacturing
11.1.7.1. Market Revenue and Forecast (2022-2032)
11.1.8. Others
11.1.8.1. Market Revenue and Forecast (2022-2032)
Chapter 12. Global Artificial Intelligence (AI) Software Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.1.2. Market Revenue and Forecast, by Offering (2022-2032)
12.1.3. Market Revenue and Forecast, by Application (2022-2032)
12.1.4. Market Revenue and Forecast, by End-User (2022-2032)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.1.5.2. Market Revenue and Forecast, by Offering (2022-2032)
12.1.5.3. Market Revenue and Forecast, by Application (2022-2032)
12.1.5.4. Market Revenue and Forecast, by End-User (2022-2032)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.1.6.2. Market Revenue and Forecast, by Offering (2022-2032)
12.1.6.3. Market Revenue and Forecast, by Application (2022-2032)
12.1.6.4. Market Revenue and Forecast, by End-User (2022-2032)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.2.2. Market Revenue and Forecast, by Offering (2022-2032)
12.2.3. Market Revenue and Forecast, by Application (2022-2032)
12.2.4. Market Revenue and Forecast, by End-User (2022-2032)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.2.5.2. Market Revenue and Forecast, by Offering (2022-2032)
12.2.5.3. Market Revenue and Forecast, by Application (2022-2032)
12.2.5.4. Market Revenue and Forecast, by End-User (2022-2032)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.2.6.2. Market Revenue and Forecast, by Offering (2022-2032)
12.2.6.3. Market Revenue and Forecast, by Application (2022-2032)
12.2.6.4. Market Revenue and Forecast, by End-User (2022-2032)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.2.7.2. Market Revenue and Forecast, by Offering (2022-2032)
12.2.7.3. Market Revenue and Forecast, by Application (2022-2032)
12.2.7.4. Market Revenue and Forecast, by End-User (2022-2032)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.2.8.2. Market Revenue and Forecast, by Offering (2022-2032)
12.2.8.3. Market Revenue and Forecast, by Application (2022-2032)
12.2.8.4. Market Revenue and Forecast, by End-User (2022-2032)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.3.2. Market Revenue and Forecast, by Offering (2022-2032)
12.3.3. Market Revenue and Forecast, by Application (2022-2032)
12.3.4. Market Revenue and Forecast, by End-User (2022-2032)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.3.5.2. Market Revenue and Forecast, by Offering (2022-2032)
12.3.5.3. Market Revenue and Forecast, by Application (2022-2032)
12.3.5.4. Market Revenue and Forecast, by End-User (2022-2032)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.3.6.2. Market Revenue and Forecast, by Offering (2022-2032)
12.3.6.3. Market Revenue and Forecast, by Application (2022-2032)
12.3.6.4. Market Revenue and Forecast, by End-User (2022-2032)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.3.7.2. Market Revenue and Forecast, by Offering (2022-2032)
12.3.7.3. Market Revenue and Forecast, by Application (2022-2032)
12.3.7.4. Market Revenue and Forecast, by End-User (2022-2032)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.3.8.2. Market Revenue and Forecast, by Offering (2022-2032)
12.3.8.3. Market Revenue and Forecast, by Application (2022-2032)
12.3.8.4. Market Revenue and Forecast, by End-User (2022-2032)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.4.2. Market Revenue and Forecast, by Offering (2022-2032)
12.4.3. Market Revenue and Forecast, by Application (2022-2032)
12.4.4. Market Revenue and Forecast, by End-User (2022-2032)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.4.5.2. Market Revenue and Forecast, by Offering (2022-2032)
12.4.5.3. Market Revenue and Forecast, by Application (2022-2032)
12.4.5.4. Market Revenue and Forecast, by End-User (2022-2032)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.4.6.2. Market Revenue and Forecast, by Offering (2022-2032)
12.4.6.3. Market Revenue and Forecast, by Application (2022-2032)
12.4.6.4. Market Revenue and Forecast, by End-User (2022-2032)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.4.7.2. Market Revenue and Forecast, by Offering (2022-2032)
12.4.7.3. Market Revenue and Forecast, by Application (2022-2032)
12.4.7.4. Market Revenue and Forecast, by End-User (2022-2032)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.4.8.2. Market Revenue and Forecast, by Offering (2022-2032)
12.4.8.3. Market Revenue and Forecast, by Application (2022-2032)
12.4.8.4. Market Revenue and Forecast, by End-User (2022-2032)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.5.2. Market Revenue and Forecast, by Offering (2022-2032)
12.5.3. Market Revenue and Forecast, by Application (2022-2032)
12.5.4. Market Revenue and Forecast, by End-User (2022-2032)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.5.5.2. Market Revenue and Forecast, by Offering (2022-2032)
12.5.5.3. Market Revenue and Forecast, by Application (2022-2032)
12.5.5.4. Market Revenue and Forecast, by End-User (2022-2032)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Deployment Model (2022-2032)
12.5.6.2. Market Revenue and Forecast, by Offering (2022-2032)
12.5.6.3. Market Revenue and Forecast, by Application (2022-2032)
12.5.6.4. Market Revenue and Forecast, by End-User (2022-2032)
Chapter 13. Company Profiles
13.1. Advanced Micro Devices
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Baidu, Inc.
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Atomwise, Inc.
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. International Business Machines Corporation
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Oracle
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Cisco
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Google LLC
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Intel Corporation
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. Microsoft
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Lifegraph
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms