AI as a Service Market Size - By Deployment Type, By Organization Size, By End-use & Forecast, 2023

Description

List of Tables

Global AI as a Service Market will register a significant growth rate from 2023-2032. As industries across finance, healthcare, and more adopt AI-driven insights, the market expands, driven by the confluence of data abundance, computational needs, accessibility, and the pursuit of innovation. In June 2023, JILL.ai, a new AI-based personalized health assistant from US-based healthcare technology business MediKarma, was launched, which intends to challenge the old healthcare paradigm. JILL.ai uses generative AI technology to deliver tailored healthcare advice, democratize information, and empower consumers to take charge of their health.

The market is developing as businesses are seeking cost-effective ways to integrate AI capabilities without extensive upfront investments. The exponential growth of data necessitates scalable AI solutions, fueling the demand for cloud-based accessibility. The rising complexity of AI algorithms demands substantial computing power, making cloud infrastructure an attractive option. Additionally, the democratization of AI tools empowers non-experts to harness its potential.

The overall AI as a Service Market is classified based on deployment type, organization size, end-user, and region.

By deployment type, the hybrid segment will show a high growth rate from 2023 to 2032. This deployment type offers businesses the flexibility to leverage AI capabilities while managing sensitive data on-premises for security and compliance. It combines the best of both worlds, catering to diverse needs. As organizations seek to balance data sovereignty and innovation, the rising demand for hybrid AI deployment underscores its pivotal role in enabling seamless integration, enhanced control, and optimal data utilization.

Based on the organization size, the AI as a service industry from the large enterprises segment will garner commendable gains through 2032. These enterprises capitalize on AI's potential for data-driven insights, process automation, and enhanced customer experiences. Outsourcing AI through cloud-based services allows them to harness cutting-edge capabilities without extensive resource allocation. As businesses compete in a data-driven economy, the rising demand for AI as a Service underscores its pivotal role in empowering large enterprises to innovate, streamline operations, and maintain a competitive edge in the digital landscape.

Regarding the end-user, the healthcare segment will capture a sizeable AI as a service market share by 2032. AI-driven solutions offer predictive analytics, image analysis, and personalized treatment recommendations, enhancing diagnostic accuracy and patient outcomes. Healthcare providers leverage cloud-based AI services to navigate complex data and optimize resource allocation. Amidst evolving medical challenges, the rising demand for AI as a Service underscores its indispensable role in revolutionizing healthcare, ensuring efficiency, precision, and improved healthcare delivery.

Regionally, the Asia-Pacific AI as a service industry will gain traction during 2023-2032 as businesses seek to remain competitive in this technology-driven era. With rapid digitalization and data growth, cloud-based AI services cater to unique challenges. The escalating demand in the Asia-Pacific underscores AI's pivotal role in propelling economic growth, technological advancement, and operational excellence across the region.

Product Code: 5714

Chapter 1 Methodology & Scope

1.1 Market definitions
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data Sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 AI as a service industry 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total Addressable Market (TAM)
2.3 Regional trends
2.4 Deployment type trends
2.5 Organization size trends
2.6 End-use trends

Chapter 3 AI as a Service Market Industry Insights

3.1 Impact on COVID-19 impact
3.2 Russia- Ukraine war impact
3.3 Industry ecosystem analysis
3.4 Vendor matrix
3.5 Profit margin analysis
3.6 Technology & innovation landscape
3.7 Patent analysis
3.8 Key news and initiatives
3.9 Regulatory landscape
3.10 Impact forces
- 3.10.1 Growth drivers
  - 3.10.1.1 Growing number of innovative startups across the globe
  - 3.10.1.2 Strong government initiatives to promote AI-based infrastructure worldwide
  - 3.10.1.3 Increasing importance of data-driven decisions in businesses
  - 3.10.1.4 High investments by enterprises in AI services
- 3.10.2 Industry pitfalls & challenges
  - 3.10.2.1 Lack of skilled and qualified staff
  - 3.10.2.2 Data security issues
3.11 Growth potential analysis
3.12 Porter's analysis
3.13 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of key market players, 2022
- 4.3.1 Alphabet Inc. (Google LLC)
- 4.3.2 IBM Corporation
- 4.3.3 Intel Corporation
- 4.3.4 Microsoft Corporation
- 4.3.5 Oracle Corporation
- 4.3.6 SAP SE
- 4.3.7 Alibaba.Com
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022

Chapter 5 AI as a Service Market, By Deployment Type

5.1 Key trends, by deployment type
5.2 Public
- 5.2.1 Market estimates and forecast, 2018 - 2032
5.3 Private
- 5.3.1 Market estimates and forecast, 2018 - 2032
5.4 Hybrid
- 5.4.1 Market estimates and forecast, 2018 - 2032

Chapter 6 AI as a Service Market, By Organization size

6.1 Key trends, by organization size
6.2 SMEs
- 6.2.1 Market estimates and forecast, 2018 - 2032
6.3 Large enterprises
- 6.3.1 Market estimates and forecast, 2018 - 2032

Chapter 7 AI as a Service Market, By End-Use

7.1 Key trends, by end-use
7.2 Automotive & transportation
- 7.2.1 Market estimates and forecast, 2018 - 2032
7.3 Manufacturing
- 7.3.1 Market estimates and forecast, 2018 - 2032
7.4 Government
- 7.4.1 Market estimates and forecast, 2018 - 2032
7.5 BFSI
- 7.5.1 Market estimates and forecast, 2018 - 2032
7.6 Healthcare
- 7.6.1 Market estimates and forecast, 2018 - 2032
7.7 IT & telecom
- 7.7.1 Market estimates and forecast, 2018 - 2032
7.8 Others
- 7.8.1 Market estimates and forecast, 2018 - 2032

Chapter 8 AI as a Service Market, By Region

8.1 Key trends, by region
8.2 North America
- 8.2.1 Market estimates and forecast, 2018 - 2032
- 8.2.2 Market estimates and forecast, by deployment type, 2018 - 2032
- 8.2.3 Market estimates and forecast, by organization size, 2018 - 2032
- 8.2.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.2.5 U.S.
  - 8.2.5.1 Market estimates and forecast, 2018 - 2032
  - 8.2.5.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.2.5.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.2.5.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.2.6 Canada
  - 8.2.6.1 Market estimates and forecast, 2018 - 2032
  - 8.2.6.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.2.6.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.2.6.4 Market estimates and forecast, by end-use, 2018 - 2032
8.3 Europe
- 8.3.1 Market estimates and forecast, 2018 - 2032
- 8.3.2 Market estimates and forecast, by deployment type, 2018 - 2032
- 8.3.3 Market estimates and forecast, by organization size, 2018 - 2032
- 8.3.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.3.5 UK
  - 8.3.5.1 Market estimates and forecast, 2018 - 2032
  - 8.3.5.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.3.5.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.3.5.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.3.6 Germany
  - 8.3.6.1 Market estimates and forecast, 2018 - 2032
  - 8.3.6.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.3.6.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.3.6.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.3.7 France
  - 8.3.7.1 Market estimates and forecast, 2018 - 2032
  - 8.3.7.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.3.7.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.3.7.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.3.8 Italy
  - 8.3.8.1 Market estimates and forecast, 2018 - 2032
  - 8.3.8.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.3.8.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.3.8.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.3.9 Spain
  - 8.3.9.1 Market estimates and forecast, 2018 - 2032
  - 8.3.9.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.3.9.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.3.9.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.3.10 Netherlands
  - 8.3.10.1 Market estimates and forecast, 2018 - 2032
  - 8.3.10.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.3.10.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.3.10.4 Market estimates and forecast, by end-use, 2018 - 2032
8.4 Asia Pacific
- 8.4.1 Market estimates and forecast, 2018 - 2032
- 8.4.2 Market estimates and forecast, by deployment type, 2018 - 2032
- 8.4.3 Market estimates and forecast, by organization size, 2018 - 2032
- 8.4.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.4.5 China
  - 8.4.5.1 Market estimates and forecast, 2018 - 2032
  - 8.4.5.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.4.5.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.4.5.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.4.6 India
  - 8.4.6.1 Market estimates and forecast, 2018 - 2032
  - 8.4.6.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.4.6.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.4.6.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.4.7 Japan
  - 8.4.7.1 Market estimates and forecast, 2018 - 2032
  - 8.4.7.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.4.7.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.4.7.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.4.8 ANZ
  - 8.4.8.1 Market estimates and forecast, 2018 - 2032
  - 8.4.8.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.4.8.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.4.8.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.4.9 South Korea
  - 8.4.9.1 Market estimates and forecast, 2018 - 2032
  - 8.4.9.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.4.9.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.4.9.4 Market estimates and forecast, by end-use, 2018 - 2032
8.5 Latin America
- 8.5.1 Market estimates and forecast, 2018 - 2032
- 8.5.2 Market estimates and forecast, by deployment type, 2018 - 2032
- 8.5.3 Market estimates and forecast, by organization size, 2018 - 2032
- 8.5.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.5.5 Brazil
  - 8.5.5.1 Market estimates and forecast, 2018 - 2032
  - 8.5.5.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.5.5.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.5.5.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.5.6 Mexico
  - 8.5.6.1 Market estimates and forecast, 2018 - 2032
  - 8.5.6.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.5.6.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.5.6.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.5.7 Argentina
  - 8.5.7.1 Market estimates and forecast, 2018 - 2032
  - 8.5.7.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.5.7.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.5.7.4 Market estimates and forecast, by end-use, 2018 - 2032
8.6 MEA
- 8.6.1 Market estimates and forecast, 2018 - 2032
- 8.6.2 Market estimates and forecast, by deployment type, 2018 - 2032
- 8.6.3 Market estimates and forecast, by organization size, 2018 - 2032
- 8.6.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.6.5 UAE
  - 8.6.5.1 Market estimates and forecast, 2018 - 2032
  - 8.6.5.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.6.5.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.6.5.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.6.6 Saudi Arabia
  - 8.6.6.1 Market estimates and forecast, 2018 - 2032
  - 8.6.6.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.6.6.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.6.6.4 Market estimates and forecast, by end-use, 2018 - 2032
- 8.6.7 South Africa
  - 8.6.7.1 Market estimates and forecast, 2018 - 2032
  - 8.6.7.2 Market estimates and forecast, by deployment type, 2018 - 2032
  - 8.6.7.3 Market estimates and forecast, by organization size, 2018 - 2032
  - 8.6.7.4 Market estimates and forecast, by end-use, 2018 - 2032

Chapter 9 Company Profiles

9.1 Alibaba
- 9.1.1 Business Overview
- 9.1.2 Financial Data
- 9.1.3 Product Landscape
- 9.1.4 Strategic Outlook
- 9.1.5 SWOT Analysis
9.2 Alphabet Inc. (Google LLC)
- 9.2.1 Business Overview
- 9.2.2 Financial Data
- 9.2.3 Product Landscape
- 9.2.4 Strategic Outlook
- 9.2.5 SWOT Analysis
9.3 Amazon Web Services, Inc.
- 9.3.1 Business Overview
- 9.3.2 Financial Data
- 9.3.3 Product Landscape
- 9.3.4 Strategic Outlook
- 9.3.5 SWOT Analysis
9.4 Baidu, Inc.
- 9.4.1 Business Overview
- 9.4.2 Financial Data
- 9.4.3 Product Landscape
- 9.4.4 Strategic Outlook
- 9.4.5 SWOT Analysis
9.5 CognitiveScale Inc.
- 9.5.1 Business Overview
- 9.5.2 Financial Data
- 9.5.3 Product Landscape
- 9.5.4 Strategic Outlook
- 9.5.5 SWOT Analysis
9.6 Craft.AI
- 9.6.1 Business Overview
- 9.6.2 Financial Data
- 9.6.3 Product Landscape
- 9.6.4 Strategic Outlook
- 9.6.5 SWOT Analysis
9.7 DATAIKU SAS
- 9.7.1 Business Overview
- 9.7.2 Financial Data
- 9.7.3 Product Landscape
- 9.7.4 Strategic Outlook
- 9.7.5 SWOT Analysis
9.8 Fair Isaac Corporation
- 9.8.1 Business Overview
- 9.8.2 Financial Data
- 9.8.3 Product Landscape
- 9.8.4 Strategic Outlook
- 9.8.5 SWOT Analysis
9.9 H2O.Ai Inc
- 9.9.1 Business Overview
- 9.9.2 Financial Data
- 9.9.3 Product Landscape
- 9.9.4 Strategic Outlook
- 9.9.5 SWOT Analysis
9.10 IBM Corporation
- 9.10.1 Business Overview
- 9.10.2 Financial Data
- 9.10.3 Product Landscape
- 9.10.4 Strategic Outlook
- 9.10.5 SWOT Analysis
9.11 Intel Corporation
- 9.11.1 Business Overview
- 9.11.2 Financial Data
- 9.11.3 Product Landscape
- 9.11.4 Strategic Outlook
- 9.11.5 SWOT Analysis
9.12 Microsoft Corporation
- 9.12.1 Business Overview
- 9.12.2 Financial Data
- 9.12.3 Product Landscape
- 9.12.4 Strategic Outlook
- 9.12.5 SWOT Analysis
9.13 Oracle Corporation
- 9.13.1 Business Overview
- 9.13.2 Financial Data
- 9.13.3 Product Landscape
- 9.13.4 Strategic Outlook
- 9.13.5 SWOT Analysis
9.14 Salesforce.com Inc.
- 9.14.1 Business Overview
- 9.14.2 Financial Data
- 9.14.3 Product Landscape
- 9.14.4 Strategic Outlook
- 9.14.5 SWOT Analysis
9.15 SAP SE
- 9.15.1 Business Overview
- 9.15.2 Financial Data
- 9.15.3 Product Landscape
- 9.15.4 Strategic Outlook
- 9.15.5 SWOT Analysis