The global Artificial Intelligence market size is expected to be worth around US$ 1.01 Trillion by 2030, according to a new report by Vision Research Reports.
The global Artificial Intelligence market size was valued at US$ 63.5 billion in 2020 and is anticipated to grow at a CAGR of 41.8% during forecast period 2021 to 2030.
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Report Coverage
| Report Scope | Details |
| Market Size | US$ 1.01 Trillion by 2030 |
| Growth Rate | CAGR of 41.8% From 2021 to 2030 |
| Base Year | 2021 |
| Forecast Period | 2021 to 2030 |
| Segments Covered | Solution, technology, end use |
| Regional Scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
| Companies Mentioned | Advanced Micro Devices; AiCure; Arm Limited; Atomwise, Inc.; Ayasdi AI LLC; Baidu, Inc.; Clarifai, Inc; Cyrcadia Health; Enlitic, Inc.; Google LLC; H2O.ai.; HyperVerge, Inc.; International Business Machines Corporation; IBM Watson Health; Intel Corporation; Iris.ai AS.; Lifegraph; Microsoft; NVIDIA Corporation; Sensely, Inc.; Zebra Medical Vision, Inc. |
Growth Factors
Artificial Intelligence (AI) denotes the concept and development of computing systems capable of performing tasks customarily requiring human assistance, such as decision-making, speech recognition, visual perception, and language translation. AI uses layers of algorithms to understand human speech, visually recognize objects, and process information. These algorithms are used for data processing, calculation, and automated reasoning. The continuous research and innovation directed by the tech giants are driving the adoption of advanced technologies in industry verticals, such as automotive, healthcare, retail, finance, and manufacturing.
By Solution Analysis
Software solution led the artificial intelligence market and accounted for more than 38.0% share of the global revenue in 2020. This high share is attributed to the prudent improvements in information storage capacity, high computing power, and parallel processing capabilities to deliver high-end AI software in dynamic end-use verticals.
Artificial intelligence services include installation, integration, and maintenance & support undertakings. The segment is projected to grow at a significant rate over the forecast period.
By Technology Analysis
Deep learning led the market and accounted for around 38.0% share of the global revenue in 2020. This high share is attributed to its prominence because of its complicated data-driven applications, including text/content or speech recognition.
Machine learning and deep learning cover significant investments in AI. It includes both AI platforms and cognitive applications, including tagging, clustering, categorization, hypothesis generation, alerting, filtering, navigation, and visualization, which facilitate the development of advisory, intelligent, and cognitively-enabled solutions.
By End-use Analysis
The advertising and media segment led the market and accounted for more than an 18.0% share of the global revenue in 2020. This high share is attributable to the growing AI marketing applications with significant traction. However, the healthcare sector is anticipated to gain a leading share by 2028.
This segment has been segregated based on use-cases, such as robot-assisted surgery, dosage error reduction, virtual nursing assistants, clinical trial participant identifier, hospital workflow management, preliminary diagnosis, and automated image diagnosis.
BFSI segment includes financial analysis, risk assessment, and investment/portfolio management solicitations. Artificial intelligence has witnessed a significant share in the BFSI due to the high demand for risk & compliance applications in the sector.
verticals for artificial intelligence systems include retail, law, automotive & transportation, agriculture, and others. The conversational AI platform is one of the most used applications in every vertical.
By Regional Analysis
North America dominated the market and accounted for over 40.0% share of global revenue in 2020. This high share is attributed to favorable government initiatives to encourage the adoption of artificial intelligence (AI) across various industries.
The Asia Pacific region is anticipated to witness significant growth in the forthcoming years. This growth owes to the significantly increasing investments in artificial intelligence.
Key Players
- Advanced Micro Devices
- AiCure
- Arm Limited
- Atomwise, Inc.
- Ayasdi AI LLC
- Baidu, Inc.
- Clarifai, Inc
- Cyrcadia Health
- Enlitic, Inc.
- Google LLC
- H2O.ai.
- HyperVerge, Inc.
- International Business Machines Corporation
- IBM Watson Health
- Intel Corporation
- Iris.ai AS.
- Lifegraph
- Microsoft
- NVIDIA Corporation
- Sensely, Inc.
- Zebra Medical Vision, Inc.
Market Segmentation
- By Solution
- Hardware
- Software
- Services
- By Technology
- Deep Learning
- Machine Learning
- Natural Language Processing (NLP)
- Machine Vision
- By End-use
- Healthcare
- BFSI
- Law
- Retail
- Advertising & Media
- Automotive & Transportation
- Agriculture
- Manufacturing
- Others
- Regional
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- U.K.
- Asia Pacific
- China
- Japan
- India
- South America
- Brazil
- Middle East & Africa (MEA)
- North America
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Reasons to Purchase this Report:
– Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
– Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
– Market value USD Million and volume Units Million data for each segment and sub-segment
– Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
– Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
Table of Contents
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. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Artificial Intelligence Market, By Solution
7.1. Artificial Intelligence Market, by Solution, 2021-2030
7.1.1. Hardware
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. Software
7.1.2.1. Market Revenue and Forecast (2017-2030)
7.1.3. Services
7.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 8. Global Artificial Intelligence Market, By Technology
8.1. Artificial Intelligence Market, by Technology, 2021-2030
8.1.1. Deep Learning
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Machine Learning
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Natural Language Processing (NLP)
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Machine Vision
8.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence Market, By End User
9.1. Artificial Intelligence Market, by End User, 2021-2030
9.1.1. Healthcare
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. BFSI
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Law
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Retail
9.1.4.1. Market Revenue and Forecast (2017-2030)
9.1.5. Advertising & Media
9.1.5.1. Market Revenue and Forecast (2017-2030)
9.1.6. Automotive & Transportation
9.1.6.1. Market Revenue and Forecast (2017-2030)
9.1.7. Agriculture
9.1.7.1. Market Revenue and Forecast (2017-2030)
9.1.8. Manufacturing
9.1.8.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Artificial Intelligence Market, Regional Estimates and Trend Forecast
10.1. North America
10.1.1. Market Revenue and Forecast, by Solution (2017-2030)
10.1.2. Market Revenue and Forecast, by Technology (2017-2030)
10.1.3. Market Revenue and Forecast, by End User (2017-2030)
10.1.4. U.S.
10.1.4.1. Market Revenue and Forecast, by Solution (2017-2030)
10.1.4.2. Market Revenue and Forecast, by Technology (2017-2030)
10.1.4.3. Market Revenue and Forecast, by End User (2017-2030)
10.1.5. Rest of North America
10.1.5.1. Market Revenue and Forecast, by Solution (2017-2030)
10.1.5.2. Market Revenue and Forecast, by Technology (2017-2030)
10.1.5.3. Market Revenue and Forecast, by End User (2017-2030)
10.2. Europe
10.2.1. Market Revenue and Forecast, by Solution (2017-2030)
10.2.2. Market Revenue and Forecast, by Technology (2017-2030)
10.2.3. Market Revenue and Forecast, by End User (2017-2030)
10.2.4. UK
10.2.4.1. Market Revenue and Forecast, by Solution (2017-2030)
10.2.4.2. Market Revenue and Forecast, by Technology (2017-2030)
10.2.4.3. Market Revenue and Forecast, by End User (2017-2030)
10.2.5. Germany
10.2.5.1. Market Revenue and Forecast, by Solution (2017-2030)
10.2.5.2. Market Revenue and Forecast, by Technology (2017-2030)
10.2.5.3. Market Revenue and Forecast, by End User (2017-2030)
10.2.6. France
10.2.6.1. Market Revenue and Forecast, by Solution (2017-2030)
10.2.6.2. Market Revenue and Forecast, by Technology (2017-2030)
10.2.6.3. Market Revenue and Forecast, by End User (2017-2030)
10.2.7. Rest of Europe
10.2.7.1. Market Revenue and Forecast, by Solution (2017-2030)
10.2.7.2. Market Revenue and Forecast, by Technology (2017-2030)
10.2.7.3. Market Revenue and Forecast, by End User (2017-2030)
10.3. APAC
10.3.1. Market Revenue and Forecast, by Solution (2017-2030)
10.3.2. Market Revenue and Forecast, by Technology (2017-2030)
10.3.3. Market Revenue and Forecast, by End User (2017-2030)
10.3.4. India
10.3.4.1. Market Revenue and Forecast, by Solution (2017-2030)
10.3.4.2. Market Revenue and Forecast, by Technology (2017-2030)
10.3.4.3. Market Revenue and Forecast, by End User (2017-2030)
10.3.5. China
10.3.5.1. Market Revenue and Forecast, by Solution (2017-2030)
10.3.5.2. Market Revenue and Forecast, by Technology (2017-2030)
10.3.5.3. Market Revenue and Forecast, by End User (2017-2030)
10.3.6. Japan
10.3.6.1. Market Revenue and Forecast, by Solution (2017-2030)
10.3.6.2. Market Revenue and Forecast, by Technology (2017-2030)
10.3.6.3. Market Revenue and Forecast, by End User (2017-2030)
10.3.7. Rest of APAC
10.3.7.1. Market Revenue and Forecast, by Solution (2017-2030)
10.3.7.2. Market Revenue and Forecast, by Technology (2017-2030)
10.3.7.3. Market Revenue and Forecast, by End User (2017-2030)
10.4. MEA
10.4.1. Market Revenue and Forecast, by Solution (2017-2030)
10.4.2. Market Revenue and Forecast, by Technology (2017-2030)
10.4.3. Market Revenue and Forecast, by End User (2017-2030)
10.4.4. GCC
10.4.4.1. Market Revenue and Forecast, by Solution (2017-2030)
10.4.4.2. Market Revenue and Forecast, by Technology (2017-2030)
10.4.4.3. Market Revenue and Forecast, by End User (2017-2030)
10.4.5. North Africa
10.4.5.1. Market Revenue and Forecast, by Solution (2017-2030)
10.4.5.2. Market Revenue and Forecast, by Technology (2017-2030)
10.4.5.3. Market Revenue and Forecast, by End User (2017-2030)
10.4.6. South Africa
10.4.6.1. Market Revenue and Forecast, by Solution (2017-2030)
10.4.6.2. Market Revenue and Forecast, by Technology (2017-2030)
10.4.6.3. Market Revenue and Forecast, by End User (2017-2030)
10.4.7. Rest of MEA
10.4.7.1. Market Revenue and Forecast, by Solution (2017-2030)
10.4.7.2. Market Revenue and Forecast, by Technology (2017-2030)
10.4.7.3. Market Revenue and Forecast, by End User (2017-2030)
10.5. Latin America
10.5.1. Market Revenue and Forecast, by Solution (2017-2030)
10.5.2. Market Revenue and Forecast, by Technology (2017-2030)
10.5.3. Market Revenue and Forecast, by End User (2017-2030)
10.5.4. Brazil
10.5.4.1. Market Revenue and Forecast, by Solution (2017-2030)
10.5.4.2. Market Revenue and Forecast, by Technology (2017-2030)
10.5.4.3. Market Revenue and Forecast, by End User (2017-2030)
10.5.5. Rest of LATAM
10.5.5.1. Market Revenue and Forecast, by Solution (2017-2030)
10.5.5.2. Market Revenue and Forecast, by Technology (2017-2030)
10.5.5.3. Market Revenue and Forecast, by End User (2017-2030)
Chapter 11. Company Profiles
11.1. Advanced Micro Devices
11.1.1. Company Overview
11.1.2. Product Offerings
11.1.3. Financial Performance
11.1.4. Recent Initiatives
11.2. AiCure
11.2.1. Company Overview
11.2.2. Product Offerings
11.2.3. Financial Performance
11.2.4. Recent Initiatives
11.3. Arm Limited
11.3.1. Company Overview
11.3.2. Product Offerings
11.3.3. Financial Performance
11.3.4. Recent Initiatives
11.4. Atomwise, Inc.
11.4.1. Company Overview
11.4.2. Product Offerings
11.4.3. Financial Performance
11.4.4. Recent Initiatives
11.5. Ayasdi AI LLC
11.5.1. Company Overview
11.5.2. Product Offerings
11.5.3. Financial Performance
11.5.4. Recent Initiatives
11.6. Baidu, Inc.
11.6.1. Company Overview
11.6.2. Product Offerings
11.6.3. Financial Performance
11.6.4. Recent Initiatives
11.7. Clarifai, Inc
11.7.1. Company Overview
11.7.2. Product Offerings
11.7.3. Financial Performance
11.7.4. Recent Initiatives
11.8. Cyrcadia Health
11.8.1. Company Overview
11.8.2. Product Offerings
11.8.3. Financial Performance
11.8.4. Recent Initiatives
11.9. Enlitic, Inc.
11.9.1. Company Overview
11.9.2. Product Offerings
11.9.3. Financial Performance
11.9.4. Recent Initiatives
11.10. Google LLC
11.10.1. Company Overview
11.10.2. Product Offerings
11.10.3. Financial Performance
11.10.4. Recent Initiatives
Chapter 12. Research Methodology
12.1. Primary Research
12.2. Secondary Research
12.3. Assumptions
Chapter 13. Appendix
13.1. About Us
13.2. Glossary of Terms
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