Artificial Intelligence Market || Meridian Market Consultants

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

 Facebook

 Micron Technology

 IBM

 Google

 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

 Facebook

 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

 Google

 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

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