Artificial Intelligence Platform Market is forecasted to value over USD 17.6 billion by 2028 end and register a CAGR of 32.1% from the forecast period 2021-2028.

As per the market analysis performed by research analysts at Future Market Analytics, the adoption of Artificial Intelligence and Machine Learning (ML) by organizations across the world has risen and it is predicted that this rate of adoption shall increase in future as well. This is due to the advantages AI and machine learning offer in risk assessment, business analytics, research, and development. Professionals are also pushing for a safer and transparent implementation of this technology which shall further propel its growth. The integration of AI and IoT can be beneficial for the industrial as well as home automation sector, thus accelerating the growth of the AI and ML industry. AI would soon help understand the functionalities of invasive bacteria and viruses and aid in curing terminal diseases like cancer thus having the potential of limiting the implementation of age-old remedies like chemotherapy.

The assessment of Artificial Intelligence Platform 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 Platform Market is also analyzed based on the regional segmentation, product type 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 Platform Market:

  • Microsoft
  • Google
  • Intel
  • Infosys
  • Wipro
  • Ayasdi
  • Salesforce
  • Qualcomm Technologies
  • Amazon Web Services
  • Absolutdata
  • Freenome
  • Arterys
  • Alphabet, Inc.
  • Bowery Farming
  • IBM
  • HPE
  • SAP
  • NVIDIA

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

Artificial Intelligence Platform Market Segmentation:
By Component

  • Tools
    • Natural Language Processing
    • Machine Learning
  • Services
    • Managed Services
    • Professional Services

By Deployment Mode

  • Cloud
  • On-Premises

By Application

  • Forecasts & Prescriptive Models
  • Chatbots
  • Speech Recognition
  • Text Recognition

By End User

  • Manufacturing
  • Healthcare
  • BFSI
  • Research and Academia
  • Transportation
  • Retail and E-Commerce
  • Others

By Region

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Artificial Intelligence Platform 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 Platform Market by component, by deployment mode, by application, by end user 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 Platform Market, By Component Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    7.1. Tools
         7.1.1 Natural Language Processing
         7.1.2 Machine Learning
    7.2. Services
         7.2.1 Managed Services
         7.2.2 Professional Services

8. Artificial Intelligence Platform Market, By Deployment Mode Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    8.1. Cloud
    8.2. On-Premises

9. Artificial Intelligence Platform Market, By Application Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    9.1. Forecasts & Prescriptive Models
    9.2. Chatbots
    9.3. Speech Recognition
    9.4. Text Recognition

10. Artificial Intelligence Platform Market, By End User Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    10.1. Manufacturing
    10.2. Healthcare
    10.3. BFSI
    10.4. Research and Academia
    10.5. Transportation
    10.6. Retail and E-Commerce
    10.7. Others

11. North America Market Analysis 2016-2020 and Forecast 2021–2028 (USD Million)
    11.1. Introduction
    11.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         11.2.1. U.S.
         11.2.2. Canada
         11.2.3. Mexico
         11.2.4. Rest of North America
    11.3. Market Size (USD Mn) Forecast for North America 2021-2028

12. Latin America Market Analysis 2016-2020 and Forecast 2021–2028 (USD Million)
    12.1. Introduction
    12.2. Regional Market Trends
    12.3. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         12.3.1. Brazil
         12.3.2. Venezuela
         12.3.2. Argentina
         12.3.3. Rest of Latin America
    12.4 Market Size (USD Mn) Forecast for Latin America 2021-2028

13. Europe 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. Germany
         13.2.2. U.K
         13.2.3. France
         13.2.4. Italy
         13.2.5. Switzerland
         13.2.6. Spain
         13.2.7. Russia
         13.2.8. Poland
         13.2.9. Rest of Europe
    13.3. Market Size (USD Mn) Forecast for Europe 2021-2028

14. Asia Pacific Market Analysis 2016-2020 and Forecast 2021–2028 (USD Million)
    14.1. Introduction
    14.2. Historical Market Size (USD Mn) Analysis By Country, 2016-2020
         14.2.1. Japan
         14.2.2. China
         14.2.3. Singapore
         14.2.4. Korea
         14.2.5. India
         14.2.6. Australia and New Zealand
         14.2.7. ASEAN
         14.2.8. Rest of Asia Pacific
    14.3. Market Size (USD Mn) Forecast for Asia Pacific 2021-2028

15. Middle East and Africa 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. UAE
         15.2.2. South Africa
         15.2.3. Egypt
         15.2.4. Saudi Arabia
         15.2.5. Rest of MEA
    15.3. Market Size (USD Mn) Forecast for MEA 2021-2028

16. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts)
    16.1. Microsoft
         16.1.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.1.2. Product Portfolio
         16.1.3. SWOT Analysis
         16.1.4. Financial Overview
         16.1.5. Strategic Overview
    16.2. Google
         16.2.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.2.2. Product Portfolio
         16.2.3. SWOT Analysis
         16.2.4. Financial Overview
         16.2.5. Strategic Overview
    16.3. Intel
         16.3.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.3.2. Product Portfolio
         16.3.3. SWOT Analysis
         16.3.4. Financial Overview
         16.3.5. Strategic Overview
    16.4. Infosys
         16.4.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.4.2. Product Portfolio
         16.4.3. SWOT Analysis
         16.4.4. Financial Overview
         16.4.5. Strategic Overview
    16.5. Wipro
         16.5.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.5.2. Product Portfolio
         16.5.3. SWOT Analysis
         16.5.4. Financial Overview
         16.5.5. Strategic Overview
    16.6. Ayasdi
         16.6.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.6.2. Product Portfolio
         16.6.3. SWOT Analysis
         16.6.4. Financial Overview
         16.6.5. Strategic Overview
    16.7. Salesforce
         16.7.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.7.2. Product Portfolio
         16.7.3. SWOT Analysis
         16.7.4. Financial Overview
         16.7.5. Strategic Overview
    16.8. Qualcomm Technologies
         16.8.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.8.2. Product Portfolio
         16.8.3. SWOT Analysis
         16.8.4. Financial Overview
         16.8.5. Strategic Overview
    16.9. Amazon Web Services
         16.9.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.9.2. Product Portfolio
         16.9.3. SWOT Analysis
         16.9.4. Financial Overview
         16.9.5. Strategic Overview
    16.10. Absolutdata
         16.10.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.10.2. Product Portfolio
         16.10.3. SWOT Analysis
         16.10.4. Financial Overview
         16.10.5. Strategic Overview
    16.11. Freenome
         16.11.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.11.2. Product Portfolio
         16.11.3. SWOT Analysis
         16.11.4. Financial Overview
         16.11.5. Strategic Overview
    16.12. Arterys
         16.12.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.12.2. Product Portfolio
         16.12.3. SWOT Analysis
         16.12.4. Financial Overview
         16.12.5. Strategic Overview
    16.13. Alphabet, Inc.
         16.13.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.13.2. Product Portfolio
         16.13.3. SWOT Analysis
         16.13.4. Financial Overview
         16.13.5. Strategic Overview
    16.14. Bowery Farming
         16.14.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.14.2. Product Portfolio
         16.14.3. SWOT Analysis
         16.14.4. Financial Overview
         16.14.5. Strategic Overview
    16.15. IBM
         16.15.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.15.2. Product Portfolio
         16.15.3. SWOT Analysis
         16.15.4. Financial Overview
         16.15.5. Strategic Overview
    16.16. HPE
         16.16.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.16.2. Product Portfolio
         16.16.3. SWOT Analysis
         16.16.4. Financial Overview
         16.16.5. Strategic Overview
    16.17. SAP
         16.17.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.17.2. Product Portfolio
         16.17.3. SWOT Analysis
         16.17.4. Financial Overview
         16.17.5. Strategic Overview
    16.18. NVIDIA
         16.18.1. Company Overview (HQ, Business Segments, Employee Strength)
         16.18.2. Product Portfolio
         16.18.3. SWOT Analysis
         16.18.4. Financial Overview
         16.18.5. Strategic Overview

17. Impact of COVID-19
    17.1. Positive influence on the industry
    17.2. The financial disruption of the sector
    17.3. Impact of COVID-19 on emerging companies
    17.4. Significant mandates in the industry regulations initiated by administrations
    17.5. The overall economic slowdown of the developing and developed nations

18. Competitive Intelligence and Competitive Matrix
    18.1. Competitive Intelligence
    18.2. Competitive Matrix

19. Major Deals and Strategic Alliances Analysis
    19.1. Joint ventures
    19.2. Mergers and acquisitions
    19.3. Licensing and partnerships
    19.4. Technology Collaborations
    19.5. Strategic Divestments
    19.6. Market Entry Strategies

20. Relevant Case Studies and Latest News Updates

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