The global artificial intelligence (AI) market size is expected to reach around US$ 1,597.1 billion by 2030 from US$ 87.04 billion in 2021 and is expected to grow at an impressive double-digit rate of 38.1% from 2022 to 2030.
The study includes drivers and restraints of this market. The study provides an analysis of the global artificial intelligence (AI) market for the period 2017-2030, wherein 2022 to 2030 is the forecast period and 2021 is considered as the base year.
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Report Highlights
- Based on solution, the software segment led the global AI market in 2021. The rising applications of the voice, visual, and text recognition have fueled the adoption of the advanced software technologies. The rising investments in the upgradation and development of new software features based on AI are further fueling the market growth.
- On the basis of technology, the deep learning segment accounted for a market share of around 38% in 2021 and dominated the market. Deep learning technology deals with the management and storage of huge volume of complex data and information, which is the major need for the modern businesses.
- By end user, the healthcare segment is expected to become the leading segment during the forecast period. This is attributed to the increased adoption of the AI technology in the robot assisted surgeries, diagnosis, and monitoring of patients. Furthermore, the rising adoption of telehealth is propelling the demand for the AI in the healthcare sector.
Market Dynamics
Driver: Growing focus towards developing autonomy in robots
AI technology is significantly driving the robotics industry. The rising competitiveness in the market has encouraged the businesses to adopt fully automated robots that can interact and perceive the surroundings. The deep learning, machine learning, and other AI technologies are gaining a rapid traction in the development of automated robots across the globe. The surging demand for the robotics across various end use verticals is expected to drive the growth of the artificial intelligence market during the forecast period.
Restraint: Lack of adequate AI experts
AI is the latest technology that have emerged in the past few years. With the rapid emergence of digital and internet technologies, the demand for the AI has witnessed a significant growth across the globe. The major restraint in the growth of the AI market is the lack of adequate number of AI experts, which can restrict many businesses to adopt the AI technology on time. This may hamper the market growth.
Opportunity: Rising government initiatives
The government of various nations are supporting the adoption of the automated and AI technologies to promote industrial growth in the economy. For instance, in February 2019, Donald Trump, the President of the US, launched an American initiative to promote US as leader in the artificial intelligence technology. This type of government initiatives in the developed economies are expected to provide lucrative growth opportunities to the market players in the foreseeable future.
Challenge: Cybersecurity and data privacy
With the growing adoption of the digital technologies, the risks cyberattack and data breach has increased significantly. These cyberattacks may cause huge financial loses to the organizations and the consumers. Therefore, tackling this data privacy and cyberattack issues is a major threat to the global artificial intelligence market.
Recent Development
- In September 2019, IBM signed an agreement with a France based medical imaging company, Guerbet, to develop of AI-based cancer diagnostics and monitoring solution.
Research Methodology
A unique research methodology has been utilized to conduct comprehensive research on the growth of the global artificial intelligence (AI) market and arrive at conclusions on the future growth prospects of the market. This research methodology is a combination of primary and secondary research, which helps analysts warrant the accuracy and reliability of the draw conclusions. Secondary sources referred to by analysts during the production of the global market report include statistics from company annual reports, SEC filings, company websites, World Bank database, investor presentations, regulatory databases, government publications, and industry white papers. Analysts have also interviewed senior managers, product portfolio managers, CEOs, VPs, and market intelligence managers, who contributed to the production of our study on the market as a primary source.
These primary and secondary sources provided exclusive information during interviews, which serves as a validation from mattress topper industry leaders. Access to an extensive internal repository and external proprietary databases allows this report to address specific details and questions about the global artificial intelligence (AI) market with accuracy. The study also uses the top-down approach to assess the numbers for each segment and the bottom-up approach to counter-validate them. This has helped to estimates the future prospects of the global market more reliable and accurate.
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence (AI) market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence (AI) are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030, so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
Some of the prominent players in the global artificial intelligence (AI) market include:
- Intel Corporation
- Microsoft
- IBM
- Amazon Web Services
- Baidu, Inc.
- NVIDIA Corporation
- H2O.ai.
- Lifegraph
- Sensely, Inc.
- Enlitic, Inc.
- AiCure
- HyperVerge, Inc.
- Arm Limited
- Clarifai, Inc.
Market Segmentation:
By Type
- Narrow/Weak AI
- General/Strong AI
By Technology
- Machine Learning
- Deep Learning
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Other Technology
- Natural Language Processing
- Context-Aware Computing
- Computer Vision
By Solution
- Software
- Hardware
- Services
By End User
- BFSI
- Risk Assessment
- Financial Analysis/Research
- Investment/Portfolio Management
- Others
- Retail
- Law
- Healthcare
- Robot Assisted Surgery
- Virtual Nursing Assistants
- Hospital Workflow Management
- Dosage Error Reduction
- Clinical Trial Participant Identifier
- Preliminary Diagnosis
- Automated Image Diagnosis
- Advertising & Media
- Manufacturing
- Automotive and Transportation
- Others
By Business Function
- Marketing and Sales
- Security
- Finance
- Law
- Human Resource
- Other
By Deployment Mode
- Cloud
- On-premises
By Organization Size
- Large enterprises
- Small and medium-sized enterprises (SMEs)
By System Type
- Artificial Neural Networks
- Digital Assistant
- Automotive Robotics System
- Embedded System
Regional Analysis:
The geographical analysis of the global artificial intelligence (AI) market has been done for North America, Europe, Asia-Pacific, and the Rest of the World.
The North American Market is again segmented into the US, Canada, and Mexico. Coming to the European Market, it can be segmented further into the UK, Germany, France, Italy, Spain, and the rest. Coming to the Asia-Pacific, the global artificial intelligence (AI) Market is segmented into China, India, Japan, and Rest of Asia Pacific. Among others, the market is segmented into the Middle East and Africa, (GCC, North Africa, South Africa and Rest of the Middle East & Africa).
Key Questions Answered by the Report:
- What will be the size of the global artificial intelligence (AI) market in 2030?
- What is the expected CAGR for the artificial intelligence (AI) market between 2021 and 2030?
- Which are the top players active in this global market?
- What are the key drivers of this global market?
- How will the market situation change in the coming years?
- Which region held the highest market share in this global market?
- What are the common business tactics adopted by players?
- What is the growth outlook of the global artificial intelligence (AI) market?
TABLE OF CONTENT
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 Type
7.1. Artificial Intelligence Market, by Type, 2022-2030
7.1.1. Narrow/Weak AI
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. General/Strong AI
7.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 8. Global Artificial Intelligence Market, By Technology
8.1. Artificial Intelligence Market, by Technology, 2022-2030
8.1.1. Machine Learning
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Natural Language Processing
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Context-Aware Computing
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Computer Vision
8.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence Market, By Solution
9.1. Artificial Intelligence Market, by Solution, 2022-2030
9.1.1. Software
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. Hardware
9.1.2.1. Market Revenue and Forecast (2017-2030)
9.1.3. Services
9.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Artificial Intelligence Market, By Business Function
10.1. Artificial Intelligence Market, by Business Function, 2022-2030
10.1.1. Marketing and Sales
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Security
10.1.2.1. Market Revenue and Forecast (2017-2030)
10.1.3. Finance
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Human Resource
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Law
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.6. Others
10.1.6.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Artificial Intelligence Market, By End-use
11.1. Artificial Intelligence Market, by End-use, 2022-2030
11.1.1. BFSI
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Retail
11.1.2.1. Market Revenue and Forecast (2017-2030)
11.1.3. Law
11.1.3.1. Market Revenue and Forecast (2017-2030)
11.1.4. Healthcare
11.1.4.1. Market Revenue and Forecast (2017-2030)
11.1.5. Advertising & Media
11.1.5.1. Market Revenue and Forecast (2017-2030)
11.1.6. Manufacturing
11.1.6.1. Market Revenue and Forecast (2017-2030)
11.1.7. Automotive and Transportation
11.1.7.1. Market Revenue and Forecast (2017-2030)
11.1.8. Others
11.1.8.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Artificial Intelligence Market, By Deployment Mode
12.1. Artificial Intelligence Market, by Deployment Mode, 2022-2030
12.1.1. Cloud
12.1.1.1. Market Revenue and Forecast (2017-2030)
12.1.2. On-premises
12.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 13. Global Artificial Intelligence Market, By Company Size
13.1. Artificial Intelligence Market, by Company Size, 2022-2030
13.1.1. Small
13.1.1.1. Market Revenue and Forecast (2017-2030)
13.1.2. Medium
13.1.2.1. Market Revenue and Forecast (2017-2030)
13.1.3. Large
13.1.3.1. Market Revenue and Forecast (2017-2030)
Chapter 14. Global Artificial Intelligence Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.2. Market Revenue and Forecast, by Technology (2017-2030)
14.1.3. Market Revenue and Forecast, by Solution (2017-2030)
14.1.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.1.5. Market Revenue and Forecast, by End-use (2017-2030)
14.1.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.1.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.1.8. U.S.
14.1.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.8.2. Market Revenue and Forecast, by Technology (2017-2030)
14.1.8.3. Market Revenue and Forecast, by Solution (2017-2030)
14.1.8.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.1.8.5. Market Revenue and Forecast, by End-use (2017-2030)
14.1.8.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.1.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.1.9.2. Market Revenue and Forecast, by Technology (2017-2030)
14.1.9.3. Market Revenue and Forecast, by Solution (2017-2030)
14.1.9.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.1.9.5. Market Revenue and Forecast, by End-use (2017-2030)
14.1.9.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.1.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.2. Europe
14.2.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.2. Market Revenue and Forecast, by Technology (2017-2030)
14.2.3. Market Revenue and Forecast, by Solution (2017-2030)
14.2.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.2.5. Market Revenue and Forecast, by End-use (2017-2030)
14.2.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.2.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.8.2. Market Revenue and Forecast, by Technology (2017-2030)
14.2.8.3. Market Revenue and Forecast, by Solution (2017-2030)
14.2.8.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.2.8.5. Market Revenue and Forecast, by End-use (2017-2030)
14.2.8.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.2.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.2.9. Germany
14.2.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.9.2. Market Revenue and Forecast, by Technology (2017-2030)
14.2.9.3. Market Revenue and Forecast, by Solution (2017-2030)
14.2.9.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.2.9.5. Market Revenue and Forecast, by End-use (2017-2030)
14.2.9.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.2.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.2.10. France
14.2.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.10.2. Market Revenue and Forecast, by Technology (2017-2030)
14.2.10.3. Market Revenue and Forecast, by Solution (2017-2030)
14.2.10.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.2.10.5. Market Revenue and Forecast, by End-use (2017-2030)
14.2.10.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.2.10.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.2.11. Rest of Europe
14.2.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.2.11.2. Market Revenue and Forecast, by Technology (2017-2030)
14.2.11.3. Market Revenue and Forecast, by Solution (2017-2030)
14.2.11.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.2.11.5. Market Revenue and Forecast, by End-use (2017-2030)
14.2.11.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.2.11.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.2. Market Revenue and Forecast, by Technology (2017-2030)
14.3.3. Market Revenue and Forecast, by Solution (2017-2030)
14.3.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.3.5. Market Revenue and Forecast, by End-use (2017-2030)
14.3.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.3.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.3.8. India
14.3.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.8.2. Market Revenue and Forecast, by Technology (2017-2030)
14.3.8.3. Market Revenue and Forecast, by Solution (2017-2030)
14.3.8.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.3.8.5. Market Revenue and Forecast, by End-use (2017-2030)
14.3.8.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.3.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.3.9. China
14.3.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.9.2. Market Revenue and Forecast, by Technology (2017-2030)
14.3.9.3. Market Revenue and Forecast, by Solution (2017-2030)
14.3.9.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.3.9.5. Market Revenue and Forecast, by End-use (2017-2030)
14.3.9.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.3.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.3.10. Japan
14.3.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.10.2. Market Revenue and Forecast, by Technology (2017-2030)
14.3.10.3. Market Revenue and Forecast, by Solution (2017-2030)
14.3.10.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.3.10.5. Market Revenue and Forecast, by End-use (2017-2030)
14.3.10.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.3.10.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.3.11. Rest of APAC
14.3.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.3.11.2. Market Revenue and Forecast, by Technology (2017-2030)
14.3.11.3. Market Revenue and Forecast, by Solution (2017-2030)
14.3.11.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.3.11.5. Market Revenue and Forecast, by End-use (2017-2030)
14.3.11.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.3.11.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.2. Market Revenue and Forecast, by Technology (2017-2030)
14.4.3. Market Revenue and Forecast, by Solution (2017-2030)
14.4.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.4.5. Market Revenue and Forecast, by End-use (2017-2030)
14.4.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.4.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.4.8. GCC
14.4.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.8.2. Market Revenue and Forecast, by Technology (2017-2030)
14.4.8.3. Market Revenue and Forecast, by Solution (2017-2030)
14.4.8.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.4.8.5. Market Revenue and Forecast, by End-use (2017-2030)
14.4.8.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.4.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.4.9. North Africa
14.4.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.9.2. Market Revenue and Forecast, by Technology (2017-2030)
14.4.9.3. Market Revenue and Forecast, by Solution (2017-2030)
14.4.9.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.4.9.5. Market Revenue and Forecast, by End-use (2017-2030)
14.4.9.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.4.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.4.10. South Africa
14.4.10.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.10.2. Market Revenue and Forecast, by Technology (2017-2030)
14.4.10.3. Market Revenue and Forecast, by Solution (2017-2030)
14.4.10.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.4.10.5. Market Revenue and Forecast, by End-use (2017-2030)
14.4.10.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.4.10.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.4.11. Rest of MEA
14.4.11.1. Market Revenue and Forecast, by Type (2017-2030)
14.4.11.2. Market Revenue and Forecast, by Technology (2017-2030)
14.4.11.3. Market Revenue and Forecast, by Solution (2017-2030)
14.4.11.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.4.11.5. Market Revenue and Forecast, by End-use (2017-2030)
14.4.11.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.4.11.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.2. Market Revenue and Forecast, by Technology (2017-2030)
14.5.3. Market Revenue and Forecast, by Solution (2017-2030)
14.5.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.5.5. Market Revenue and Forecast, by End-use (2017-2030)
14.5.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.5.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.5.8. Brazil
14.5.8.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.8.2. Market Revenue and Forecast, by Technology (2017-2030)
14.5.8.3. Market Revenue and Forecast, by Solution (2017-2030)
14.5.8.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.5.8.5. Market Revenue and Forecast, by End-use (2017-2030)
14.5.8.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.5.8.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Type (2017-2030)
14.5.9.2. Market Revenue and Forecast, by Technology (2017-2030)
14.5.9.3. Market Revenue and Forecast, by Solution (2017-2030)
14.5.9.4. Market Revenue and Forecast, by Business Function (2017-2030)
14.5.9.5. Market Revenue and Forecast, by End-use (2017-2030)
14.5.9.6. Market Revenue and Forecast, by Company Size (2017-2030)
14.5.9.7. Market Revenue and Forecast, by Deployment Mode (2017-2030)
Chapter 15. Company Profiles
15.1. Intel Corporation
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Microsoft
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. IBM
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. Google
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. Amazon Web Services
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. Baidu, Inc.
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. NVIDIA Corporation
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. H2O.ai.
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. Lifegraph
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. Sensely, Inc.
15.10.1. Company Overview
15.10.2. Product Offerings
15.10.3. Financial Performance
15.10.4. Recent Initiatives
15.11. Enlitic, Inc.
15.11.1. Company Overview
15.11.2. Product Offerings
15.11.3. Financial Performance
15.11.4. Recent Initiatives
15.12. AiCure
15.12.1. Company Overview
15.12.2. Product Offerings
15.12.3. Financial Performance
15.12.4. Recent Initiatives
15.13. HyperVerge, Inc.
15.13.1. Company Overview
15.13.2. Product Offerings
15.13.3. Financial Performance
15.13.4. Recent Initiatives
Chapter 16. Research Methodology
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
Chapter 17. Appendix
17.1. About Us
17.2. Glossary of Terms
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