Artificial Intelligence Market: Global Opportunity Analysis and Future Assessment 2019 to 2027
Global Artificial Intelligence Market Overview
An overview of conceptual frameworks, analytical approaches of the Artificial Intelligence market is the main objective of the report, which further consists the market opportunity and insights of the data involved in the making of the respective market. Artificial Intelligence market is expected to grow with significant rate in the near future.
MMC Overview
The non-identical approach of Meridian Market Consultants stands with conceptual methods backed up with the data analysis. The novel market understanding approach makes up the standard of the assessment results that give better opportunity for the customers to put their effort.
A research report on the Artificial Intelligence market by Meridian Market Consultants is an in-depth and extensive study of the market based on the necessary data crunching and statistical analysis. It provides a brief view of the dynamics flowing through the market, which includes the factors that supports market and the factors that are acting as impedance for the growth of the market. Furthermore, the report includes the various trends and opportunities in the respective market in different regions for a better understanding of readers that helps to analyze the potential of the market. The report is titled as ‘Artificial Intelligence Market: Opportunity Analysis and Future Assessment 2019-2027’.
Some of the key participating players in global Artificial Intelligence market are
Intel
NVIDIA
Xilinx
Samsung
Micron Technology
IBM
Microsoft
Amazon Web Services AWS
Oracle
SalesForce
SAS
SAP
General Electric
CISCO
Rockwell
Siemens
Mellanox Technologies
Baidu
Global Artificial Intelligence Market Segmentation
The global Artificial Intelligence market is segmented on the basis of offering, end user industry, and region.
On the basis of Offering
Hardware
o Processors
MPU
GPU
FPGA
Others
• Memory
• Network
Software
o AI Platforms
Application Program Interface (API)
Machine Learning Framework
o AI Solutions
On Premises
Cloud
Services
o Deployment & Integration
o Support & Maintenance
End User Industry
Healthcare
Manufacturing
Automotive
Retail
Security
Human Resources
Marketing
Law
FIntech
By Region
North America
Latin America
Europe
Asia Pacific
Middle East
Africa
A research report on the global Artificial Intelligence market by Meridian Market Consultants is an in-depth and extensive study of the market based on the necessary data crunching and statistical analysis. It provides a brief view of the dynamics flowing through the market, which includes the factors that supports market and the factors that are acting as impedance for the growth of the market. Furthermore, the report includes the various trends and opportunities in the respective market in different regions for a better understanding of readers that helps to analyze the potential of the market. The report is titled as ‘Artificial Intelligence Market: Global Opportunity Analysis and Future Assessment 2019-2027’.
The report comprehensively lays out the market drivers, restraints, forecast, technologies, investments, risks trends, leading companies and their strategies to help the reader formulate a better-informed business strategy. The authenticity and preciseness of the data and other invaluable insights is backed by the in-depth interviews with the C-suite executives along with trade surveys.
For the better outcome of the market, Meridian Market Consultants provides the historical data for the year 2016 and 2017 and also provides the three sets of CAGR for the different forecasting periods. The forecasting period is said to be distributed between the years as 2019 & 2023, 2023 & 2027, and 2019 & 2027. These three sets of CAGR provide the reader as a deep drilled insight of the market specifically for a particular time interval.
Meridian Market Consultants research process consists meticulous quality check of the information gathered through scrupulous primary and secondary sources such extensive secondary data sources are further combined with insights bundled from primary research such as top management interviews and adjusted to take into account factors highlighted in the SWOT analysis to develop the forecast. Information gathered through desk research is validated through our paid primary respondents who are industry experts, distributors, prescribers, and end users. This provides a 360 degree level of insights on the market scenario and hence helps us arrive at the near to accurate market value and volume estimates. With respect to the Artificial Intelligence Market: Global Opportunity Analysis and Future Assessment 2019 to2027 report, we went through the same process of interviewing industry experts, distributors and decision makers. Besides, revenue information, product growth and expansion strategies from the existing market player further aided in projecting the market value for Artificial Intelligence.
Various factors that are benchmarked while estimating the market growth includes (but not restricted to): • New product designs and launches • Current product compliance • Reimbursement • Concerns for use of Artificial Intelligence • Advantage of Artificial Intelligence over other modalities Actions taken by the manufacturer and respective regulatory authorities also impact the market growth of the segment. These factors are understood at regional level and in major countries globally for providing regional insights of the product segment in the report. This helps our clients to take informed decision.
A mix of top-down and bottom-up approach is followed to arrive and validate our market value estimations. For a product segment like wherein one/two manufacturer(s) dominates the market, it’s product sales, previous growth rates and market expansion plans are considered to generate market share in the global market.
This unique methodology includes a number of evaluations to give a precise and accurate result which aids the existing businesses in the global market for Artificial Intelligence market and also the new entrants to understand the competition and strategize their moves accordingly. The report follows a holistic approach for the market, considering the analysis of every region individually and its overall impact on the global market for Artificial Intelligence. There is an in-house data management model that automatically analyzes and marks out the discrepancies in the market estimation data and provides a clear and error free view of the market numbers and other projections for growth. The data model is a result of numerous quality checks by the expert team, which includes other data management software and real time surveyors.
Intel
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
NVIDIA
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Xilinx
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Samsung
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Micron Technology
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
IBM
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Microsoft
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Amazon Web Services (AWS)
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Oracle
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
SalesForce
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
SAS
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
SAP
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
General Electric
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
CISCO
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Rockwell
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Siemens
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Mellanox Technologies
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
Baidu
Company Overview
Financial Overview
Product Portfolio
Key Developments
Business Strategies
1. Global Artificial Intelligence Market Report Overview
1.1. Introduction
1.2. Report Description
1.3. Methodology
2. Global Artificial Intelligence Market Overview
2.1. Introduction
2.1.1. Market Definition
2.1.2. Market Taxonomy
2.2. Executive Summary
2.3. Global Artificial Intelligence Market Snapshot
2.4. Global Artificial Intelligence Market Size and Forecast, 2019–2027
2.4.1. Introduction
2.4.2. Market Value Forecast and Annual Growth Rate (AGR) Comparison (2019–2027)
2.5. Global Artificial Intelligence Market Dynamics
2.5.1. Drivers
2.5.2. Restraints
2.5.3. Opportunity
2.5.4. Trends
2.6. Key Regulations
2.7. Porter’s Five Forces Model
3. Global Artificial Intelligence Market, By Offering
3.1. Introduction
3.1.1. Annual Growth Rate Comparison, By Offering
3.1.2. BPS Analysis, By Offering
3.2. Market Revenue (US$Mn) Forecast, By Offering
3.2.1. Hardware
3.2.1.1. Processors
3.2.1.1.1. MPU
3.2.1.1.2. GPU
3.2.1.1.3. FPGA
3.2.1.1.4. Others
3.2.1.2. Memory
3.2.1.3. Network
3.2.2. Software
3.2.2.1. AI Platforms
3.2.2.1.1. Application Program Interface (API)
3.2.2.1.2. Machine Learning Framework
3.2.2.2. AI Solutions
3.2.2.2.1. On Premises
3.2.2.2.2. Cloud
3.2.3. Services
3.2.3.1. Deployment & Integration
3.2.3.2. Support & Maintenance
3.3. Global Artificial Intelligence Market Attractiveness Index, By Offering
4. Global Artificial Intelligence Market, By End User Industry
4.1. Introduction
4.1.1. Annual Growth Rate Comparison, By End User Industry
4.1.2. BPS Analysis, By End User Industry
4.2. Market Revenue (US$Mn) Forecast, By End User Industry
4.2.1. Healthcare
4.2.2. Manufacturing
4.2.3. Automotive
4.2.4. Retail
4.2.5. Security
4.2.6. Human Resources
4.2.7. Marketing
4.2.8. Law
4.2.9. Fintech
4.3. Global Artificial Intelligence Market Attractiveness Index, By End User Industry
5. Global Artificial Intelligence Market, By Region
5.1. Introduction
5.1.1. Annual Growth Rate Comparison, By Region
5.1.2. BPS Analysis, By Region
5.2. Market Revenue (US$Mn) Forecast, By Region
5.2.1. North America
5.2.2. Latin America
5.2.3. Europe
5.2.4. Asia Pacific
5.2.5. Middle East
5.2.6. Africa
5.3. Global Artificial Intelligence Market Attractiveness Index, By Region
6. North America Artificial Intelligence Market Analysis and Forecast, 2019–2027
6.1. Introduction
6.1.1. Annual Growth Rate Comparison, By Country
6.1.2. BPS Analysis, By Country
6.2. Artificial Intelligence Market (US$Mn) Value Forecast, By Country
6.2.1. U.S. Artificial Intelligence Market
6.2.2. Canada Artificial Intelligence Market
6.3. North America Artificial Intelligence Market, By Offering
6.3.1. Hardware
6.3.1.1. Processors
6.3.1.1.1. MPU
6.3.1.1.2. GPU
6.3.1.1.3. FPGA
6.3.1.1.4. Others
6.3.1.2. Memory
6.3.1.3. Network
6.3.2. Software
6.3.2.1. AI Platforms
6.3.2.1.1. Application Program Interface (API)
6.3.2.1.2. Machine Learning Framework
6.3.2.2. AI Solutions
6.3.2.2.1. On Premises
6.3.2.2.2. Cloud
6.3.3. Services
6.3.3.1. Deployment & Integration
6.3.3.2. Support & Maintenance
6.4. North America Artificial Intelligence Market, By End User Industry
6.4.1. Healthcare
6.4.2. Manufacturing
6.4.3. Automotive
6.4.4. Retail
6.4.5. Security
6.4.6. Human Resources
6.4.7. Marketing
6.4.8. Law
6.4.9. Fintech
6.5. North America Artificial Intelligence Market Attractiveness Index
6.5.1. By Country
6.5.2. By Offering
6.5.3. By End User Industry
7. Latin America Artificial Intelligence Market Analysis and Forecast, 2019–2027
7.1. Introduction
7.1.1. Annual Growth Rate Comparison, By Country
7.1.2. BPS Analysis, By Country
7.2. Artificial Intelligence Market (US$Mn) Value Forecast, By Country
7.2.1. Brazil Artificial Intelligence Market
7.2.2. Mexico Artificial Intelligence Market
7.2.3. Argentina Artificial Intelligence Market
7.2.4. Rest of Latin America Artificial Intelligence Market
7.3. Latin America Artificial Intelligence Market, By Offering
7.3.1. Hardware
7.3.1.1. Processors
7.3.1.1.1. MPU
7.3.1.1.2. GPU
7.3.1.1.3. FPGA
7.3.1.1.4. Others
7.3.1.2. Memory
7.3.1.3. Network
7.3.2. Software
7.3.2.1. AI Platforms
7.3.2.1.1. Application Program Interface (API)
7.3.2.1.2. Machine Learning Framework
7.3.2.2. AI Solutions
7.3.2.2.1. On Premises
7.3.2.2.2. Cloud
7.3.3. Services
7.3.3.1. Deployment & Integration
7.3.3.2. Support & Maintenance
7.4. Latin America Artificial Intelligence Market, By End User Industry
7.4.1. Healthcare
7.4.2. Manufacturing
7.4.3. Automotive
7.4.4. Retail
7.4.5. Security
7.4.6. Human Resources
7.4.7. Marketing
7.4.8. Law
7.4.9. Fintech
7.5. Latin America Artificial Intelligence Market Attractiveness Index
7.5.1. By Country
7.5.2. By Offering
7.5.3. By End User Industry
8. Europe Artificial Intelligence Market Analysis and Forecast, 2019–2027
8.1. Introduction
8.1.1. Annual Growth Rate Comparison, By Country
8.1.2. BPS Analysis, By Country
8.2. Artificial Intelligence Market (US$Mn) Value Forecast, By Country
8.2.1. U.K. Artificial Intelligence Market
8.2.2. Germany Artificial Intelligence Market
8.2.3. Italy Artificial Intelligence Market
8.2.4. France Artificial Intelligence Market
8.2.5. Spain Artificial Intelligence Market
8.2.6. Russia Artificial Intelligence Market
8.2.7. Poland Artificial Intelligence Market
8.2.8. BENELUX Artificial Intelligence Market
8.2.9. NORDIC Artificial Intelligence Market
8.2.10. Rest of Europe Artificial Intelligence Market
8.3. Europe Artificial Intelligence Market, By Offering
8.3.1. Hardware
8.3.1.1. Processors
8.3.1.1.1. MPU
8.3.1.1.2. GPU
8.3.1.1.3. FPGA
8.3.1.1.4. Others
8.3.1.2. Memory
8.3.1.3. Network
8.3.2. Software
8.3.2.1. AI Platforms
8.3.2.1.1. Application Program Interface (API)
8.3.2.1.2. Machine Learning Framework
8.3.2.2. AI Solutions
8.3.2.2.1. On Premises
8.3.2.2.2. Cloud
8.3.3. Services
8.3.3.1. Deployment & Integration
8.3.3.2. Support & Maintenance
8.4. Europe Artificial Intelligence Market, By End User Industry
8.4.1. Healthcare
8.4.2. Manufacturing
8.4.3. Automotive
8.4.4. Retail
8.4.5. Security
8.4.6. Human Resources
8.4.7. Marketing
8.4.8. Law
8.4.9. Fintech
8.5. Europe Artificial Intelligence Market Attractiveness Index
8.5.1. By Country
8.5.2. By Offering
8.5.3. By End User Industry
9. Asia Pacific Artificial Intelligence Market Analysis and Forecast, 2019–2027
9.1. Introduction
9.1.1. Annual Growth Rate Comparison, By Country
9.1.2. BPS Analysis, By Country
9.2. Artificial Intelligence Market (US$Mn) Value Forecast, By Country
9.2.1. China Artificial Intelligence Market
9.2.2. India Artificial Intelligence Market
9.2.3. Japan Artificial Intelligence Market
9.2.4. Australia and New Zealand Artificial Intelligence Market
9.2.5. South Korea Artificial Intelligence Market
9.2.6. ASEAN Artificial Intelligence Market
9.2.7. Rest of Asia Pacific Artificial Intelligence Market
9.3. Asia Pacific Artificial Intelligence Market, By Offering
9.3.1. Hardware
9.3.1.1. Processors
9.3.1.1.1. MPU
9.3.1.1.2. GPU
9.3.1.1.3. FPGA
9.3.1.1.4. Others
9.3.1.2. Memory
9.3.1.3. Network
9.3.2. Software
9.3.2.1. AI Platforms
9.3.2.1.1. Application Program Interface (API)
9.3.2.1.2. Machine Learning Framework
9.3.2.2. AI Solutions
9.3.2.2.1. On Premises
9.3.2.2.2. Cloud
9.3.3. Services
9.3.3.1. Deployment & Integration
9.3.3.2. Support & Maintenance
9.4. Asia Pacific Artificial Intelligence Market, By End User Industry
9.4.1. Healthcare
9.4.2. Manufacturing
9.4.3. Automotive
9.4.4. Retail
9.4.5. Security
9.4.6. Human Resources
9.4.7. Marketing
9.4.8. Law
9.4.9. Fintech
9.5. Asia Pacific Artificial Intelligence Market Attractiveness Index
9.5.1. By Country
9.5.2. By Offering
9.5.3. By End User Industry
10. Middle East Artificial Intelligence Market Analysis and Forecast, 2019–2027
10.1. Introduction
10.1.1. Annual Growth Rate Comparison, By Country
10.1.2. BPS Analysis, By Country
10.2. Artificial Intelligence Market (US$Mn) Value Forecast, By Country
10.2.1. GCC Countries Artificial Intelligence Market
10.2.2. Israel Artificial Intelligence Market
10.2.3. Oman Artificial Intelligence Market
10.2.4. Rest of Middle East Artificial Intelligence Market
10.3. Middle East Artificial Intelligence Market, By Offering
10.3.1. Hardware
10.3.1.1. Processors
10.3.1.1.1. MPU
10.3.1.1.2. GPU
10.3.1.1.3. FPGA
10.3.1.1.4. Others
10.3.1.2. Memory
10.3.1.3. Network
10.3.2. Software
10.3.2.1. AI Platforms
10.3.2.1.1. Application Program Interface (API)
10.3.2.1.2. Machine Learning Framework
10.3.2.2. AI Solutions
10.3.2.2.1. On Premises
10.3.2.2.2. Cloud
10.3.3. Services
10.3.3.1. Deployment & Integration
10.3.3.2. Support & Maintenance
10.4. Middle East Artificial Intelligence Market, By End User Industry
10.4.1. Healthcare
10.4.2. Manufacturing
10.4.3. Automotive
10.4.4. Retail
10.4.5. Security
10.4.6. Human Resources
10.4.7. Marketing
10.4.8. Law
10.4.9. Fintech
10.5. Middle East Artificial Intelligence Market Attractiveness Index
10.5.1. By Country
10.5.2. By Offering
10.5.3. By End User Industry
11. Africa Artificial Intelligence Market Analysis and Forecast, 2019–2027
11.1. Introduction
11.1.1. Annual Growth Rate Comparison, By Country
11.1.2. BPS Analysis, By Country
11.2. Artificial Intelligence Market (US$Mn) Value Forecast, By Country
11.2.1. South Africa Artificial Intelligence Market
11.2.2. Egypt Artificial Intelligence Market
11.2.3. North Africa Artificial Intelligence Market
11.2.4. Rest of Africa Artificial Intelligence Market
11.3. Africa Artificial Intelligence Market, By Offering
11.3.1. Hardware
11.3.1.1. Processors
11.3.1.1.1. MPU
11.3.1.1.2. GPU
11.3.1.1.3. FPGA
11.3.1.1.4. Others
11.3.1.2. Memory
11.3.1.3. Network
11.3.2. Software
11.3.2.1. AI Platforms
11.3.2.1.1. Application Program Interface (API)
11.3.2.1.2. Machine Learning Framework
11.3.2.2. AI Solutions
11.3.2.2.1. On Premises
11.3.2.2.2. Cloud
11.3.3. Services
11.3.3.1. Deployment & Integration
11.3.3.2. Support & Maintenance
11.4. Africa Artificial Intelligence Market, By End User Industry
11.4.1. Healthcare
11.4.2. Manufacturing
11.4.3. Automotive
11.4.4. Retail
11.4.5. Security
11.4.6. Human Resources
11.4.7. Marketing
11.4.8. Law
11.4.9. Fintech
11.5. Africa Artificial Intelligence Market Attractiveness Index
11.5.1. By Country
11.5.2. By Offering
11.5.3. By End User Industry
12. Recommendation
12.1. Market Strategy
13. Competitive Landscape
13.1. Competition Dashboard
13.2. List and Company Overview of Global Key Players
13.3. Company Profiles
13.3.1. Intel
13.3.1.1. Company Overview
13.3.1.2. Financial Overview
13.3.1.3. Product Portfolio
13.3.1.4. Key Developments
13.3.1.5. Business Strategies
13.3.2. NVIDIA
13.3.3. Xilinx
13.3.4. Samsung
13.3.5. Facebook
13.3.6. Micron Technology
13.3.7. IBM
13.3.8. Google
13.3.9. Microsoft
13.3.10. Amazon Web Services AWS
13.3.11. Oracle
13.3.12. SalesForce
13.3.13. SAS
13.3.14. SAP
13.3.15. General Electric
13.3.16. CISCO
13.3.17. Rockwell
13.3.18. Siemens
13.3.19. Mellanox Technologies
13.3.20. Baidu
14. Acronyms