AI as a Service Market is forecasted to value over USD 19 billion by 2028 end and register a CAGR of 48.6% 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 AI as a Service 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 AI as a Service 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 AI as a Service Market:

IBM
Google
Microsoft
Salesforce
FICO
SAS Institute
Baidu
Cognitive Scale
Absolutdata
Fuzzy.AI
Vital AI
Rainbird Technologies
Intel
SAP
IRIS AI
Sift Science

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

AI as a Service Market Segmentation:
By Service Type

Software Tools
- Data Storage and Archiving
- Modeler and Processing
- Cloud and Web-Based Application Programming Interface
- Others
Services
- Professional Services
- Managed Services

By Technology

Machine Learning
Deep Learning
NLP

By Organization Size

Small and Medium-Sized Enterprises
Large Enterprises

By Industry

BFSI
- Fraud and Risk Management
- Customer Segmentation
- Sales and Marketing Campaign Management
- Investment Prediction
- Digital Assistance
- Others
Healthcare and Life Sciences
- Disease Identification and Diagnosis
- Image Analytics
- Personalized Treatment
- Drug Discovery/Manufacturing
- Others
Telecommunication
- Customer Analytics
- Network Security
- Network Optimization
- Others
Government and Defense
- Autonomous and Defense Systems
- Threat Intelligence
- Others
Retail
- Recommendation Engines
- Upselling and Cross-Channel Marketing
- Segmentation and Targeting
- Others
Energy
- Power/Energy Usage Analytics
- Seismic Data Processing
- Carbon Emission
- Smart Grid Management
- Others
Manufacturing
- Predictive Maintenance
- Revenue Estimation
- Demand Forecasting
- Supply Chain Management
- Others
Others

By Region

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

AI as a Service 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 AI as a Service Market by service type, by technology, by organization size, by industry 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 – Porters
         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. AI as a Service Market, By Service Type Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    7.1 Software Tools
         7.1.1. Data Storage and Archiving
         7.1.2. Modeler and Processing
         7.1.3. Cloud and Web-Based Application Programming Interface
         7.1.4. Others
    7.2 Services
         7.2.1. Professional Services
         7.2.2. Managed Services

8. AI as a Service Market, By Technology Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    8.1. Machine Learning
    8.2. Deep Learning
    8.3. NLP

9. AI as a Service Market, By Organization Size Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
9.1. Small and Medium-Sized Enterprises
9.2. Large Enterprises

10. AI as a Service Market, By Industry Historical Analysis 2016-2020 and Forecast 2021-2028 (USD million)
    10.1. BFSI
         10.1.1. Fraud and Risk Management
         10.1.2. Customer Segmentation
         10.1.3. Sales and Marketing Campaign Management
         10.1.4. Investment Prediction
         10.1.5. Digital Assistance
         10.1.6. Others
    10.2. Healthcare and Life Sciences
         10.2.1. Disease Identification and Diagnosis
         10.2.2. Image Analytics
         10.2.3. Personalized Treatment
         10.2.4. Drug Discovery/Manufacturing
         10.2.5. Others
    10.3. Telecommunication
         10.3.1. Customer Analytics
         10.3.2. Network Security
         10.3.3. Network Optimization
         10.3.4. Others
    10.4. Government and Defense
         10.4.1. Autonomous and Defense Systems
         10.4.2. Threat Intelligence
         10.4.3. Others
    10.5. Retail
         10.5.1. Recommendation Engines
         10.5.2. Upselling and Cross-Channel Marketing
         10.5.3. Segmentation and Targeting
         10.5.4. Others
    10.6. Energy
         10.6.1. Power/Energy Usage Analytics
         10.6.2. Seismic Data Processing
         10.6.3. Carbon Emission
         10.6.4. Smart Grid Management
         10.6.5. Others
    10.7. Manufacturing
         10.7.1. Predictive Maintenance
         10.7.2. Revenue Estimation
         10.7.3. Demand Forecasting
         10.7.4. Supply Chain Management
         10.7.5. Others
    10.8. Others

11. North America Market Analysis 2016-2020 and Forecast 20212028 (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 20212028 (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 20212028 (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 20212028 (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 20212028 (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. IBM
         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. Microsoft
         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. Salesforce
         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. FICO
         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. SAS Institute
         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. Baidu
         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. Cognitive Scale
         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. Absolutdata
         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. Fuzzy.AI
         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. Vital AI
         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. Rainbird Technologies
         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. Intel
         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. SAP
         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. IRIS AI
         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. Sift Science
         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

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

AI as a Service Market By Service Type, By Technology, By Organization Size, By Industry and By Region: Industry Analysis, Market Share, Revenue Opportunity, Competitive Analysis and Forecast 2021-2028

AI as a Service Market is forecasted to value over USD 19 billion by 2028 end and register a CAGR of 48.6% from the forecast period 2021-2028.

Description

AI as a Service Market By Service Type, By Technology, By Organization Size, By Industry and By Region: Industry Analysis, Market Share, Revenue Opportunity, Competitive Analysis and Forecast 2021-2028

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