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PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1574174

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PUBLISHER: Knowledge Sourcing Intelligence | PRODUCT CODE: 1574174

Artificial Intelligence as a Service (AIaaS) Market - Forecasts from 2024 to 2029

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The Artificial Intelligence as a Service (AIaaS) market is projected to witness a CAGR of 46.52% during the forecast period to reach a total market size of US$168.449 billion by 2029, up from US$24.947 billion in 2024.

Artificial Intelligence as a Service (AIaaS) is being utilized as a low-cost, cloud-based way to empower businesses to use artificial intelligence (AI) algorithms and employ artificial neural systems without requiring infrastructure or tremendous startup ventures. AIaaS has different components that numerous businesses utilize, like cloud-based conveyance, pay-as-you-go pricing, and versatility with no limitations on infrastructure companies to focus on its core capacities.

AIaaS administrations include machine learning stages, natural language processing administrations, computer vision services, AI chatbots, and virtual colleagues. They permit machines to understand and produce human dialects, decipher visual data, and assist clients. Ceaseless progressions in the field of AI, on account of major players expanding ventures into R&D, have been expanding their popularity among endeavors over businesses.

Moreover, the high initial costs of implementing AI have hindered its adoption among businesses. However, AIaaS has reduced these costs by eliminating the need to build an AI infrastructure, which is expected to drive market growth in the forecasted period.

ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET DRIVERS:

  • Growing adoption of cloud computing is expected to increase the demand for Artificial Intelligence as a Service (AIaaS) solutions globally.

One of the major factors anticipated to drive the Artificial Intelligence as a Service market's growth during the forecast period is the shift of a large number of organizations to cloud computing. Cloud computing allows companies to use artificial intelligence without the need to set up an AI infrastructure, saving them cost and time. It allows the companies to focus completely on their core business, as AI as a service is provided by third parties, which is leading to rising demand for AIaaS and propelling its market growth in the coming years.

For instance, in June 2022, e& Enterprise, a division of e& Group Limited, collaborated with DataRobot to introduce an industry-first Enterprise AlaaS solution for public and private companies looking to accelerate their digital transformation. It provides an end-to-end cloud solution that allows building, training, deployment, and managing AI & ML solutions at a fraction of the cost of in-house. Further, allowing governments and private companies to deploy AI fixes at scale and realize business value with minimal upfront AI expertise. Similarly, there are more companies are adopting cloud computing to upgrade their businesses, which is anticipated to boost the market growth during the assessment period.

Artificial Intelligence as a Service (AIaaS) Market Geographical Outlook:

  • The North American region is expected to hold a substantial Artificial Intelligence as a Service (AIaaS) market share.

The North American region is anticipated to hold a significant market share owing to the presence of market leaders such as Microsoft Corporation, Amazon Web Services, Google LLC, and IBM Corporation, among others. Further, the region has a strong industry player presence, leading to increasing technological advancements. Hence, there will be a higher tendency to adopt technologies like AIaaS for diverse industries in the coming years.

In addition, North American countries like the United States and Canada are anticipated to witness substantial growth during the forecast period due to rising investments in cloud-based solutions and an emerging sector realizing the utilization of AlaaS for multiple applications. Furthermore, the rising number of start-ups in the region providing AIaaS solutions is anticipated to propel the market growth during the forecast period.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The Artificial Intelligence as a Service (AIaaS) market is segmented and analyzed as below:

By Type

  • Bots
  • APIs
  • Machine Learning
  • Others

By Enterprise Size

  • Small
  • Medium
  • Large

By End-Use Industry

  • BFSI
  • Retail
  • IT and Telecom
  • Healthcare
  • Manufacturing
  • Government
  • Energy
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others
Product Code: KSI061612188

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Bots
  • 5.3. APIs
  • 5.4. Machine Learning
  • 5.5. Others

6. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY ENTERPRISE SIZE

  • 6.1. Introduction
  • 6.2. Small
  • 6.3. Medium
  • 6.4. Large

7. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY END-USE INDUSTRY

  • 7.1. Introduction
  • 7.2. BFSI
  • 7.3. Retail
  • 7.4. IT and Telecom
  • 7.5. Healthcare
  • 7.6. Manufacturing
  • 7.7. Government
  • 7.8. Energy
  • 7.9. Others

8. ARTIFICIAL INTELLIGENCE AS A SERVICE (AIAAS) MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Type
    • 8.2.2. By Enterprise Size
    • 8.2.3. By End-Use Industry
    • 8.2.4. By Country
      • 8.2.4.1. USA
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Type
    • 8.3.2. By Enterprise Size
    • 8.3.3. By End-Use Industry
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Type
    • 8.4.2. By Enterprise Size
    • 8.4.3. By End-Use Industry
    • 8.4.4. By Country
      • 8.4.4.1. Germany
      • 8.4.4.2. France
      • 8.4.4.3. United Kingdom
      • 8.4.4.4. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Type
    • 8.5.2. By Enterprise Size
    • 8.5.3. By End-Use Industry
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Type
    • 8.6.2. By Enterprise Size
    • 8.6.3. By End-Use Industry
      • 8.6.3.1. China
      • 8.6.3.2. India
      • 8.6.3.3. Japan
      • 8.6.3.4. South Korea
      • 8.6.3.5. Taiwan
      • 8.6.3.6. Thailand
      • 8.6.3.7. Indonesia
      • 8.6.3.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Amazon Web Services (AWS)
  • 10.2. Microsoft Corporation
  • 10.3. Google LLC
  • 10.4. IBM Corporation
  • 10.5. Oracle Corporation
  • 10.6. BMC Software, Inc.
  • 10.7. Salesforce.com, Inc.
  • 10.8. BigML Inc
  • 10.9. SAS Institute Inc
  • 10.10. Fair Isaac Corporation
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Christine Sirois

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