Artificial Intelligence Market is forecasted to value over USD 410.12 billion by 2028 end and register a CAGR of 39.6% from the forecast period 2021-2028.

The communications industry is growing at an exponential rate owing to the technological advancements in recent years and with the advent of 5G wireless network technology, this industry is bound to showcase exceptional growth numbers over the next few years. Key players of the smartphone industry have initiated the manufacturing and distribution of 5G -enabled smartphones in developed nations and these devices shall soon be regularized across the world. Furthermore, technologies like artificial intelligence and machine learning have paved the way for the development of autonomous vehicles and with governments across the world taking initiatives in building an infrastructure compatible with these vehicles, it is predicted to grow at a remarkable rate in the upcoming years. Entertainment and recreational industries like gaming are exponentially proliferating with the introduction of augmented reality (AR) and virtual reality (VR) thus improving the overall gaming experience. The gaming industry is gaining huge popularity across the globe owing to the organization of international tournaments with bigger prize pools thus helping technologies like AR and VR reach every single corner of the world.

The assessment of the Artificial Intelligence Market is performed considering various factors, like for instance, the business expansion policies of key players, competitive analysis of the progress of new entrants and emerging players, the revenue, financial, and opportunity analysis of market players. The Artificial Intelligence Market is also analyzed based on the regional segmentation, product or technique, end-user spectrum, etc. This research will be conducted with the implementation of the latest market research methodologies which shall help organizations comprehend the overall market scenario and strategize accordingly.

Major players included in the Artificial Intelligence Market:

• Google

• Microsoft

• IBM

• Intel

• Baidu

• Alibaba Cloud

• Iflytek

• Oracle

• Amazon Web Services

• Salesforce

• SAP

• SAS Institute

• Cisco

• Facebook

• Samsung

• HPE

• Siemens

• Huawei

• Nvidia

• General Vision

(Note: The list of the major players will be updated with the latest market scenario and trends)

Artificial Intelligence Market Segmentation:

By Offering

• Hardware

    o Processors

         o Microprocessing Unit

         o Graphics Processing Unit

         o Field Programmable Gate Arrays

         o Other Processors

    o Memory

    o Network

• Software

    o Application Program Interface

    o Machine Learning Framework

• Services

    o Deployment and Integration

    o Support and Maintenance

By Technology

• Machine Learning

    o Deep Learning

    o Supervised Learning

    o Unsupervised Learning

    o Reinforcement Learning

    o Other Technology

• Natural Language Processing

• Context-aware Computing

• Computer Vision

By Deployment Mode

• On-premises

• Cloud

By Organization Size

• Small and Medium-sized Enterprises

• Large Enterprises

By Business Function

• Finance

    o Artificial Intelligence in Accounting

    o Artificial Intelligence in Payroll

    o Artificial Intelligence in Financial Planning and Analysis

• Security

    o Identity and Access Management

    o Risk and Compliance Management

    o Encryption

    o Data Loss Prevention

    o Unified Threat Management

    o Antivirus/antimalware

    o Intrusion Detection/prevention Systems

    o Other Security Solutions

• Human Resources

    o Virtual Assistant

    o Applicant Tracking & Assessment

    o Personalized Learning and Development

    o HR Analytics

    o Job Recommendation

    o Sentiment Analysis

• Law

    o Ediscovery

    o Legal Research

    o Contract Analysis

    o Case Prediction

    o Compliance

    o Other Applications

• Marketing and Sales

    o Social Media Advertising

    o Search Advertising

    o Dynamic Pricing

    o Virtual Assistant

    o Content Curation

    o Sales and Marketing Automation

    o Analytics Platform

    o Other Marketing and Sales Solutions

• Other Business Function

By Vertical

• Banking, Financial Services, and Insurance

    o Enhanced Customer Experience

    o Prediction Of Future Outcomes and Trends

    o Robotic Automation Of Processes

    o Credit Decisions

• Retail and Ecommerce

    o Product Recommendation and Planning

    o Customer Relationship Management

    o Visual Search

    o Virtual Assistant

    o Price Optimization

    o Payment Services Management

    o Supply Chain Management and Demand Planning

    o Other Applications

• Automotive, Transportation and Logistics

    o Autonomous Driving

    o Human-machine Interface

    o Semiautonomous Driving

• Government and Defense

    o Customer Service Chatbots

    o Autonomous Drones

    o Surveillance

    o Predicting A Crime and Recommending Optimal Police Presence

    o Identifying Fraudulent Benefits Claims

• Healthcare and Lifesciences

    o Patient Data and Risk Analysis

    o Lifestyle Management and Monitoring

    o Precision Medicine

    o Inpatient Care and Hospital Management

    o Medical Imaging and Diagnostics

    o Drug Discovery

    o Virtual Assistant

    o Wearables

    o Research

• Telecommunication and IT

    o Network Optimization

    o Predictive Maintenance

    o Virtual Assistants For Customer Support

• Energy and Utilities

    o Energy Efficiency Decision-making

    o Fault Prediction

    o Artificial Intelligence in The Power Grid – Smart Grids and Sector Coupling

    o Artificial Intelligence in Electricity Trading

    o Artificial Intelligence in The Virtual Power Plant

    o Artificial Intelligence in The Smart Water Meter

• Manufacturing

    o Material Movement

    o Predictive Maintenance and Machinery Inspection

    o Production Planning

    o Field Services

    o Reclamation

    o Quality Control

• Other Verticals

By Region

• North America

• Europe

• Asia-Pacific

• Latin America

• Middle East and Africa

Artificial Intelligence Market Competitive Analysis:

• Tier-1 Players

• Tier-2 Players

• Emerging Players

• New Entrants

Future Market Analytics Focus Points:

• SWOT Analysis

• Key Market Trends

• Key Data -Points Affecting Market Growth

• Revenue and Forecast Analysis

• Growth Opportunities For New Entrants and Emerging Players

• Key Player and Market Growth Matrix 

Objectives of the Study:

• To provide a comprehensive analysis on the Artificial Intelligence Market By Offering, By Technology, By Deployment Mode, By Organization Size, By Business Function, By Vertical and By Region

• To cater extensive insights on factors influencing the market growth (drivers, restraints, industry-specific restraints, business expansion opportunities)

• To anticipate and analyse the market size expansion in key regions- North America, Europe, Asia Pacific, Latin America and Middle East and Africa

• To record and evaluate competitive landscape mapping- strategic alliances and mergers, technological advancements and product launches, revenue and financial analysis of key market players

In case of any requirements or changes to the current table of content please contact us at:
enquiry@futuremarketanalytics.com

Description

1. Market Introduction

    1.1. Objectives of the Study 

    1.2. Market Definition 

    1.3. Market Scope 

         1.3.1 Years Considered for the Study

         1.3.2 Market Covered

    1.4. Currency

    1.5. Limitations 

    1.6. Stakeholders 

2. Research Methodology 

    2.1. Research Data 

         2.1.1. Secondary Data

                2.1.1.1. Key Data from Secondary Sources

         2.1.2. Primary Data

                2.1.2.1. Key Data from Primary Sources

    2.2. Market Size Estimation 

    2.3. Market Breakdown and Data Triangulation 

    2.4. Assumptions for the Study  

3. Executive Summary

    3.1. Market Outlook

    3.2. Segment Outlook

    3.3. Competitive Insights

4. Market Variables, Trends & Scope

    4.1. Market Lineage Outlook

    4.2. Penetration and Growth Prospect Mapping

    4.3. Industry Value Chain Analysis

    4.4. Cost Analysis Breakdown

    4.5. Technology Overview

    4.6. Regulatory Framework on Country Level

         4.6.1. Reimbursement Framework

         4.6.2. Standards and Compliances

5. Market Overview

    5.1. Market Dynamics

         5.1.1. Market Driver Analysis

         5.1.2. Market Restraint Analysis

         5.1.3. Industry Challenges

6. Market Analysis Tools

    6.1. Industry Analysis – Porter’s

         6.1.1. Supplier Power

         6.1.2. Buyer Power

         6.1.3. Substitution Threat

         6.1.4. Threat from new entrants

         6.1.5. Competitive Rivalry

    6.2. Pestel Analysis

         6.2.1. Political Landscape

         6.2.2. Environmental Landscape

         6.2.3. Social landscape

         6.2.4. Technology landscape

         6.2.5. Legal Landscape

7. Artificial Intelligence Market, By Offering Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)

    7.1. Hardware

         7.1.1. Processors

                7.1.1.1. Microprocessing Unit

                7.1.1.2. Graphics Processing Unit

                7.1.1.3. Field Programmable Gate Arrays

                7.1.1.4. Other Processors

         7.1.2. Memory

         7.1.3. Network

    7.2. Software

         7.2.1. Application Program Interface

         7.2.2. Machine Learning Framework

    7.3. Services

         7.3.1. Deployment and Integration

         7.3.2. Support and Maintenance

8. Artificial Intelligence Market, By Technology Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)

    8.1. Machine Learning

         8.1.1. Deep Learning

         8.1.2. Supervised Learning

         8.1.3. Unsupervised Learning

         8.1.4. Reinforcement Learning

         8.1.5. Other Technology

    8.2. Natural Language Processing

    8.3. Context-aware Computing

    8.4. Computer Vision

9. Artificial Intelligence Market, By Deployment Mode Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)

    9.1. On-premises

    9.2. Cloud

10. Artificial Intelligence Market, By Organization Size Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)

    10.1. Small and Medium-sized Enterprises

    10.2. Large Enterprises

11. Artificial Intelligence Market, By Business Function Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)

    11.1. Finance

          11.1.1. Artificial Intelligence in Accounting

          11.1.2. Artificial Intelligence in Payroll

          11.1.3. Artificial Intelligence in Financial Planning and Analysis

    11.2. Security

          11.2.1. Identity and Access Management

          11.2.2. Risk and Compliance Management

          11.2.3. Encryption

          11.2.4. Data Loss Prevention

          11.2.5. Unified Threat Management

          11.2.6. Antivirus/antimalware

          11.2.7. Intrusion Detection/prevention Systems

          11.2.8. Other Security Solutions

    11.3. Human Resources

          11.3.1. Virtual Assistant

          11.3.2. Applicant Tracking & Assessment

          11.3.3. Personalized Learning and Development

          11.3.4. HR Analytics

          11.3.5. Job Recommendation

          11.3.6. Sentiment Analysis

    11.4. Law

          11.4.1. Ediscovery

          11.4.2. Legal Research

          11.4.3. Contract Analysis

          11.4.4. Case Prediction

          11.4.5. Compliance

          11.4.6. Other Applications

    11.5. Marketing and Sales

          11.5.1. Social Media Advertising

          11.5.2. Search Advertising

          11.5.3. Dynamic Pricing

          11.5.4. Virtual Assistant

          11.5.5. Content Curation

          11.5.6. Sales and Marketing Automation

          11.5.7. Analytics Platform

          11.5.8. Other Marketing and Sales Solutions

    11.6. Other Business Function

12. Artificial Intelligence Market, By Vertical Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)

    12.1. Banking, Financial Services, and Insurance

          12.1.1. Enhanced Customer Experience

          12.1.2. Prediction Of Future Outcomes and Trends

          12.1.3. Robotic Automation Of Processes

          12.1.4. Credit Decisions

    12.2. Retail and Ecommerce

          12.2.1. Product Recommendation and Planning

          12.2.2. Customer Relationship Management

          12.2.3. Visual Search

          12.2.4. Virtual Assistant

          12.2.5. Price Optimization

          12.2.6. Payment Services Management

          12.2.7. Supply Chain Management and Demand Planning

          12.2.8. Other Applications

    12.3. Automotive, Transportation and Logistics

          12.3.1. Autonomous Driving

          12.3.2. Human-machine Interface

          12.3.3. Semiautonomous Driving

    12.4. Government and Defense

          12.4.1. Customer Service Chatbots

          12.4.2. Autonomous Drones

          12.4.3. Surveillance

          12.4.4. Predicting A Crime and Recommending Optimal Police Presence

          12.4.5. Identifying Fraudulent Benefits Claims

    12.5. Healthcare and Lifesciences

          12.5.1. Patient Data and Risk Analysis

          12.5.2. Lifestyle Management and Monitoring

          12.5.3. Precision Medicine

          12.5.4. Inpatient Care and Hospital Management

          12.5.5. Medical Imaging and Diagnostics

          12.5.6. Drug Discovery

          12.5.7. Virtual Assistant

          12.5.8. Wearables

          12.5.9. Research

    12.6. Telecommunication and IT

          12.6.1. Network Optimization

          12.6.2. Predictive Maintenance

          12.6.3. Virtual Assistants For Customer Support

    12.7. Energy and Utilities

          12.7.1. Energy Efficiency Decision-making

          12.7.2. Fault Prediction

          12.7.3. Artificial Intelligence in The Power Grid – Smart Grids and Sector Coupling

          12.7.4. Artificial Intelligence in Electricity Trading

          12.7.5. Artificial Intelligence in The Virtual Power Plant

          12.7.6. Artificial Intelligence in The Smart Water Meter

    12.8. Manufacturing

          12.8.1. Material Movement

          12.8.2. Predictive Maintenance and Machinery Inspection

          12.8.3. Production Planning

          12.8.4. Field Services

          12.8.5. Reclamation

          12.8.6. Quality Control

    12.9. Other Verticals

13. North America Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)

    13.1. Introduction

    13.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          13.2.1. U.S.

          13.2.2. Canada

          13.2.3. Mexico

          13.2.4. Rest of North America

    13.3. Market Size (USD Mn) Forecast for North America 2021-2028

14. Latin America Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)

    14.1. Introduction

    14.2. Regional Market Trends

    14.3. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          14.3.1. Brazil

          14.3.2. Venezuela

          14.3.3. Argentina

          14.3.4. Rest of Latin America

    14.4 Market Size (USD Mn) Forecast for Latin America 2021-2028

15. Europe Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)

    15.1. Introduction

    15.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          15.2.1. Germany

          15.2.2. U.K

          15.2.3. France

          15.2.4. Italy

          15.2.5. Switzerland

          15.2.6. Spain

          15.2.7. Russia

          15.2.8. Poland

          15.2.9. Rest of Europe

    15.3. Market Size (USD Mn) Forecast for Europe 2021-2028

16. Asia Pacific Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)

    16.1. Introduction

    16.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          16.2.1. Japan

          16.2.2. China

          16.2.3. Singapore

          16.2.4. Korea         

          16.2.5. India

          16.2.6. Australia and New Zealand

          16.2.7. ASEAN

          16.2.8. Rest of Asia Pacific

    16.3. Market Size (USD Mn) Forecast for Asia Pacific 2021-2028

17. Middle East and Africa Market Analysis 2016-2020 and Forecast 2021-2028 (USD Million)

    17.1. Introduction

    17.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020

          17.2.1. UAE

          17.2.2. South Africa

          17.2.3. Egypt

          17.2.4. Saudi Arabia

          17.2.5. Rest of MEA

    17.3. Market Size (USD Mn) Forecast for MEA 2021-2028

18. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts)

    18.1. Google

           18.1.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.1.2. Product Portfolio

           18.1.3. SWOT Analysis

           18.1.4. Financial Overview

           18.1.5. Strategic Overview

    18.2. Microsoft

           18.2.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.2.2. Product Portfolio

           18.2.3. SWOT Analysis

           18.2.4. Financial Overview

           18.2.5. Strategic Overview

    18.3. IBM

           18.3.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.3.2. Product Portfolio

           18.3.3. SWOT Analysis

           18.3.4. Financial Overview

           18.3.5. Strategic Overview

    18.4. Intel

           18.4.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.4.2. Product Portfolio

           18.4.3. SWOT Analysis

           18.4.4. Financial Overview

           18.4.5. Strategic Overview

    18.5. Baidu

           18.5.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.5.2. Product Portfolio

           18.5.3. SWOT Analysis

           18.5.4. Financial Overview

           18.5.5. Strategic Overview

    18.6. Alibaba Cloud

           18.6.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.6.2. Product Portfolio

           18.6.3. SWOT Analysis

           18.6.4. Financial Overview

           18.6.5. Strategic Overview

    18.7. Iflytek

           18.7.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.7.2. Product Portfolio

           18.7.3. SWOT Analysis

           18.7.4. Financial Overview

           18.7.5. Strategic Overview

    18.8. Oracle

           18.8.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.8.2. Product Portfolio

           18.8.3. SWOT Analysis

           18.8.4. Financial Overview

           18.8.5. Strategic Overview    

    18.9. Amazon Web Services

           18.9.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.9.2. Product Portfolio

           18.9.3. SWOT Analysis

           18.9.4. Financial Overview

           18.9.5. Strategic Overview

    18.10. Salesforce

           18.10.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.10.2. Product Portfolio

           18.10.3. SWOT Analysis

           18.10.4. Financial Overview

           18.10.5. Strategic Overview

    18.11. SAP

           18.11.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.11.2. Product Portfolio

           18.11.3. SWOT Analysis

           18.11.4. Financial Overview

           18.11.5. Strategic Overview

    18.12. SAS Institute

           18.12.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.12.2. Product Portfolio

           18.12.3. SWOT Analysis

           18.12.4. Financial Overview

           18.12.5. Strategic Overview

    18.13. Cisco

           18.13.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.13.2. Product Portfolio

           18.13.3. SWOT Analysis

           18.13.4. Financial Overview

           18.13.5. Strategic Overview

    18.14. Facebook

           18.14.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.14.2. Product Portfolio

           18.14.3. SWOT Analysis

           18.14.4. Financial Overview

           18.14.5. Strategic Overview

    18.15. Samsung

           18.15.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.15.2. Product Portfolio

           18.15.3. SWOT Analysis

           18.15.4. Financial Overview

           18.15.5. Strategic Overview

    18.16. HPE

           18.16.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.16.2. Product Portfolio

           18.16.3. SWOT Analysis

           18.16.4. Financial Overview

           18.16.5. Strategic Overview

    18.17. Siemens

           18.17.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.17.2. Product Portfolio

           18.17.3. SWOT Analysis

           18.17.4. Financial Overview

           18.17.5. Strategic Overview

    18.18. Huawei

           18.18.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.18.2. Product Portfolio

           18.18.3. SWOT Analysis

           18.18.4. Financial Overview

           18.18.5. Strategic Overview

    18.19. Nvidia

           18.19.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.19.2. Product Portfolio

           18.19.3. SWOT Analysis

           18.19.4. Financial Overview

           18.19.5. Strategic Overview

    18.20. General Vision

           18.20.1. Company Overview (HQ, Business Segments, Employee Strength)

           18.20.2. Product Portfolio

           18.20.3. SWOT Analysis

           18.20.4. Financial Overview

           18.20.5. Strategic Overview

(Note: The list of the major players will be updated with the latest market scenario and trends)

19. Impact of COVID-19

    19.1. Positive influence on the industry

    19.2. The financial disruption of the sector

    19.3. Impact of COVID-19 on emerging companies

    19.4. Significant mandates in the industry regulations initiated by administrations 

    19.5. The overall economic slowdown of the developing and developed nations

20. Competitive Intelligence and Competitive Matrix

    20.1. Competitive Intelligence

    20.2. Competitive Matrix

21. Major Deals and Strategic Alliances Analysis

    21.1. Joint ventures

    21.2. Mergers and acquisitions

    21.3. Licensing and partnerships 

    21.4. Technology Collaborations

    21.5. Strategic Divestments

    21.6. Market Entry Strategies        

22. Relevant Case Studies and Latest News Updates

23. Key Market Takeaway Points from the Market Analysts at Future Market Analytics