Artificial intelligence as a Service

Artificial Intelligence as a Service Market Size will Reach USD 92 Billion by 2030

According to Precedence Research, during the forecast period of 2022 to 2030, the global artificial intelligence as a service market is estimated to develop at a compound annual growth rate (CAGR) of 39.16%. The global artificial intelligence as a service market was valued at USD 4.7 billion in 2021, and it is predicted to exceed USD 92 billion by 2030. The study investigates several elements and their consequences on the growth of the artificial intelligence as a service market.

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This report focuses on artificial intelligence as a service market volume and value at the global level, regional level and company level. From a global perspective, this report represents overall artificial intelligence as a service market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, Middle East & Africa, Latin America, etc.

Report Scope of the Artificial intelligence as a Service Market

Report Coverage Details
Market Size in 2022 USD 6.54 Billion
Market Size by 2030 USD 92 Billion
Growth Rate from 2022 to 2030 CAGR of 39.16%
Base Year 2021
Forecast Period 2022 to 2030
Segments Covered Technology, Organization, Vertical, Geography

The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

In-Depth Analysis on Competitive Landscape

The report sheds light on leading manufacturers of artificial intelligence as a service, along with their detailed profiles. Essential and up-to-date data related to market performers who are principally engaged in the production of artificial intelligence as a service has been brought with the help of a detailed dashboard view. Market share analysis and comparison of prominent players provided in the report permits report readers to take preemptive steps in advancing their businesses.

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence as a service market.

Some of the prominent players in the artificial intelligence as a service market include:

  • Amazon.Com
  • Apple Inc.
  • Alphabet Inc. (Google LLC)
  • CognitiveScale, Inc.
  • Intel Co.
  • Microsoft Co.
  • Fair Isaac Co.
  • International Business Management Co.
  • Salesforce
  • SAP SE

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Segments Covered in the Report

By Technology

  • Machine learning (ML)
  • Computer Vision
  • Natural Language Processing (NLP)

By Organization Size

  • Large Enterprise
  • Small & Medium Enterprise

By Vertical

  • BFSI
  • Public Sector
  • Energy & Utility
  • IT & Telecom
  • Retail
  • Manufacturing
  • Healthcare

Regional Segmentation

  • Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
  • Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
  • North America [United States, Canada, Mexico]
  • South America [Brazil, Argentina, Columbia, Chile, Peru]
  • Middle East & Africa [GCC, North Africa, South Africa]

Some of the important ones are:

  • What can be the best investment choices for venturing into new product and service lines?
  • What value propositions should businesses aim at while making new research and development funding?
  • Which regulations will be most helpful for stakeholders to boost their supply chain network?
  • Which regions might see the demand maturing in certain segments in near future?
  • What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?
  • Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?
  • Which government regulations might challenge the status of key regional markets?
  • How will the emerging political and economic scenario affect opportunities in key growth areas?
  • What are some of the value-grab opportunities in various segments?
  • What will be the barrier to entry for new players in the market?

Table of Contents

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial intelligence as a Service Market 

5.1. COVID-19 Landscape: Artificial intelligence as a Service Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial intelligence as a Service Market, By Technology

8.1. Artificial intelligence as a Service Market, by Technology, 2022-2030

8.1.1 Machine learning (ML)

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Computer Vision

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Natural Language Processing (NLP)

8.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial intelligence as a Service Market, By Organization Size

9.1. Artificial intelligence as a Service Market, by Organization Size, 2022-2030

9.1.1. Large Enterprise

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Small & Medium Enterprise

9.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial intelligence as a Service Market, By Vertical 

10.1. Artificial intelligence as a Service Market, by Vertical, 2022-2030

10.1.1. BFSI

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Public Sector

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Energy & Utility

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. IT & Telecom

10.1.4.1. Market Revenue and Forecast (2017-2030)

10.1.5. Retail

10.1.5.1. Market Revenue and Forecast (2017-2030)

10.1.6. Manufacturing

10.1.6.1. Market Revenue and Forecast (2017-2030)

10.1.7. Healthcare

10.1.7.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial intelligence as a Service Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Technology (2017-2030)

11.1.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.1.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Technology (2017-2030)

11.1.4.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.1.4.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Technology (2017-2030)

11.1.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.1.5.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Technology (2017-2030)

11.2.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Technology (2017-2030)

11.2.4.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.4.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Technology (2017-2030)

11.2.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.5.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Technology (2017-2030)

11.2.6.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.6.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Technology (2017-2030)

11.2.7.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.2.7.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Technology (2017-2030)

11.3.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Technology (2017-2030)

11.3.4.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.4.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Technology (2017-2030)

11.3.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.5.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Technology (2017-2030)

11.3.6.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.6.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Technology (2017-2030)

11.3.7.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.3.7.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Technology (2017-2030)

11.4.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Technology (2017-2030)

11.4.4.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.4.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Technology (2017-2030)

11.4.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.5.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Technology (2017-2030)

11.4.6.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.6.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Technology (2017-2030)

11.4.7.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.4.7.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Technology (2017-2030)

11.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.5.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Technology (2017-2030)

11.5.4.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.5.4.3. Market Revenue and Forecast, by Vertical (2017-2030)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Technology (2017-2030)

11.5.5.2. Market Revenue and Forecast, by Organization Size (2017-2030)

11.5.5.3. Market Revenue and Forecast, by Vertical (2017-2030)

Chapter 12. Company Profiles

12.1. Amazon.Com

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Apple Inc.

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Alphabet Inc. (Google LLC)

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. CognitiveScale, Inc.

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Intel Co.

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Microsoft Co.

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Fair Isaac Co.

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. International Business Management Co.

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Salesforce

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. SAP SE

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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