Artificial Intelligence as a Service Market 2018-2028 By Size, Share, Trends, Growth, Forecast

Summary

Report Description

Forecast Period	2024-2028
Market Size (2023)	USD 10.4 billion
CAGR (2023-2028)	38.25%
Fastest Growing Segment	Software Tools
Largest Market	North America

Market Overview

The projected market size for the global artificial intelligence as a service market is expected to reach USD 10.4 billion by the end of 2023, with a compound annual growth rate (CAGR) of 38.25% during the forecast period. The global artificial intelligence as a service market has gained significant traction in recent years due to the increasing adoption of these systems across various industries. Artificial Intelligence as a Services are advanced technologies that accurately monitor and analyze the number of individuals entering, exiting, or moving within a particular space. These systems provide valuable insights into foot traffic, crowd behavior, and occupancy patterns, enabling businesses and organizations to make informed decisions for operational efficiency, customer experience enhancement, and safety compliance. In addition, technological advancements have been instrumental in driving the growth of Artificial Intelligence as a Service market. IoT (Internet of Things) integration has enabled real-time data collection and analysis, while AI (Artificial Intelligence) algorithms enhance the accuracy and functionality of these systems. Various sensing technologies, including infrared, video-based, thermal, and stereoscopic sensors, cater to different environmental requirements and provide a versatile range of solutions.

Key Market Drivers

The Increasing Demand for Predictive and Analytics Solutions

The global artificial intelligence as a service (AIaaS) market is undergoing a remarkable expansion, primarily driven by the soaring demand for predictive and analytics solutions. In today's data-driven business landscape, organizations are grappling with the challenge of extracting meaningful insights from vast and complex datasets. AIaaS platforms are emerging as a transformative solution by offering accessible, scalable, and user-friendly predictive analytics tools. These tools empower businesses to unlock patterns, anticipate trends, and derive actionable insights, revolutionizing decision-making processes across industries. From financial institutions seeking to predict market trends to healthcare providers aiming to enhance patient outcomes, the applications of predictive analytics through AIaaS are extensive and diverse. In addition, the allure of AIaaS lies in its ability to democratize advanced analytics capabilities. Even smaller businesses with limited resources can access cutting-edge technologies without the need for extensive in-house expertise. This democratization accelerates innovation and levels the playing field, enabling organizations to make informed choices backed by data-driven insights. Moreover, AIaaS fosters flexibility, allowing businesses to seamlessly integrate predictive analytics into their existing workflows without the heavy burden of developing complex AI models from scratch. As a result, operational efficiency is heightened, and strategic planning becomes more agile and precise.

As the volume of data continues to burgeon, the demand for predictive and analytics solutions is expected to intensify further, perpetuating the growth of the AIaaS market. This growth trajectory is reinforced by the ever-evolving nature of AI technologies, as advancements lead to more sophisticated algorithms and improved predictive accuracy. The convergence of predictive analytics and AIaaS is propelling organizations toward a future where proactive decision-making, driven by AI-driven insights, is the norm. Ultimately, the increasing adoption of predictive and analytics solutions through AIaaS is reshaping industries, optimizing processes, and propelling businesses into a realm of data-powered innovation and success on the global stage.

Rising Demand for Enhancing Consumer Experience

The surging demand for enhancing consumer experiences is a pivotal factor driving the remarkable growth of the global artificial intelligence as a service (AIaaS) market. In today's competitive business landscape, providing exceptional consumer experiences has become a strategic imperative. AIaaS platforms are stepping in as transformative tools by offering businesses the means to analyze vast amounts of consumer data and extract meaningful insights. These insights enable companies to understand consumer behaviors, preferences, and expectations on a granular level, facilitating the creation of personalized and tailored experiences. The appeal of AIaaS lies in its ability to harness AI's power without requiring extensive in-house expertise. This democratization of AI technology allows businesses, regardless of size, to tap into advanced algorithms for data analysis, natural language processing, and machine learning. By doing so, companies can develop personalized marketing campaigns, optimize product recommendations, and provide efficient customer support through AI-powered chatbots and virtual assistants. This level of personalization and automation not only enhances the consumer journey but also boosts customer loyalty and brand trust.

Industries spanning e-commerce, hospitality, finance, and healthcare are capitalizing on AIaaS to craft immersive consumer experiences. From predictive modeling that anticipates consumer needs to sentiment analysis that gauge’s customer satisfaction, AIaaS's applications are diverse and adaptable. As consumers increasingly demand tailored interactions, businesses that integrate AIaaS stand to gain a competitive edge. The upward trajectory of the AIaaS market is set to continue as the importance of consumer-centric strategies remains paramount. The evolving landscape of AI technologies, coupled with the ever-growing volume of consumer data, underscores AIaaS's role in shaping the future of customer engagement. In a world where seamless and personalized experiences are the norm, AIaaS is enabling businesses to not only meet but also exceed consumer expectations, driving growth and innovation across industries.

Increasing Demand for Advanced AI Capabilities

The burgeoning growth of the global artificial intelligence as a service (AIaaS) market is being driven by an escalating demand for advanced AI capabilities across various industries. As businesses increasingly recognize the transformative potential of artificial intelligence in enhancing efficiency and innovation, the need for accessible and scalable AI solutions has become paramount. AIaaS platforms are addressing this demand by offering pre-built AI models, algorithms, and tools that enable organizations of all sizes to integrate sophisticated AI functionalities into their operations without the need for extensive technical expertise or significant upfront investments. This accessibility empowers businesses to harness AI's power in streamlining processes, making data-driven decisions, and staying competitive in an ever-evolving technological landscape. With the ongoing evolution of AI technologies, the AIaaS market is poised to continue its growth trajectory, catering to the increasing appetite for advanced AI capabilities while simplifying their adoption for a broad spectrum of industries.

The Need for Rapid Innovation and Adoption of Advanced Technologies

The global artificial intelligence as a service (AIaaS) market is experiencing robust growth due to the imperative for swift innovation and the adoption of cutting-edge technologies across industries. As businesses strive to remain competitive in a rapidly evolving landscape, the demand for advanced AI solutions has become crucial. AIaaS platforms are meeting this demand by providing readily available AI tools and models that expedite the integration of artificial intelligence into various applications and processes. This streamlines the innovation cycle, enabling businesses to swiftly harness the benefits of AI without grappling with the complexities of in-house development. The agility and adaptability offered by AIaaS solutions empower organizations to stay ahead of market trends, enhance operational efficiency, and effectively address emerging challenges. In a time where technology-driven innovation is the key to success, the AIaaS market is becoming an essential enabler for businesses seeking to capitalize on advanced technologies while maintaining a competitive edge in their respective domains.

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Key Market Challenges

The Risks Associated with Data Breaches and Hacks

The growth of the global artificial intelligence as a service (AIaaS) market is facing a significant constraint due to the inherent risks associated with data breaches and cyberattacks. As AIaaS platforms rely heavily on the collection, storage, and analysis of vast amounts of data, the potential exposure to sensitive information becomes a critical concern. The increasing sophistication of cyber threats poses a substantial risk to the security and privacy of both customer and organizational data. High-profile data breaches and hacks have eroded trust among businesses and consumers, leading to apprehension in adopting AIaaS solutions. The necessity for robust cybersecurity measures, stringent data protection protocols, and compliance with privacy regulations is paramount to address these risks. Organizations must ensure that comprehensive security measures are in place to safeguard data integrity and mitigate the potential fallout of breaches, enabling the AIaaS market to thrive by establishing a foundation of trust and resilience.

Lack of Skilled Employees

The growth of the global artificial intelligence as a service (AIaaS) market is being hindered by a notable shortage of skilled employees in the field of artificial intelligence. The complex nature of AI technologies demands a workforce equipped with specialized knowledge in machine learning, data science, algorithm development, and AI implementation. However, the supply of qualified professionals is struggling to keep up with the escalating demand for AI expertise. This shortage of skilled employees creates a bottleneck in the adoption and utilization of AIaaS solutions. Businesses seeking to implement AI-driven strategies are often constrained by the challenge of finding and retaining talent proficient in AI technologies. The gap between the demand for AI professionals and the available workforce poses a significant obstacle, impeding the seamless integration and expansion of AIaaS offerings across industries. Addressing this skills gap through education, training programs, and upskilling initiatives is pivotal to unlocking the full potential of the AIaaS market and fostering innovation in the global AI landscape.

Key Market Trends

The adoption of Automated Machine Learning (AutoML)

The adoption of automated machine learning (AutoML) is acting as a significant catalyst for the growth of the global artificial intelligence as a service (AIaaS) market. AutoML, offered through AIaaS platforms, empowers organizations to swiftly develop, train, and deploy AI models without requiring in-depth expertise in machine learning. This democratization of AI technology allows businesses to leverage AI-driven insights and solutions tailored to their specific needs. The streamlined process of model creation and optimization that AutoML offers, combined with the convenience of cloud based AIaaS, accelerates the integration of AI into various applications, processes, and industries. As the demand for AI capabilities surges across diverse sectors, the accessibility and user-friendly nature of AutoML through AIaaS platforms are fostering widespread adoption. This trend is propelling the AIaaS market's expansion by enabling businesses of all sizes to harness the power of AI without the barriers of technical complexity, ultimately driving innovation and competitiveness in the global marketplace.

The Integration of (AIaaS) Into Cybersecurity Solutions

The integration of artificial intelligence as a service (AIaaS) into cybersecurity solutions is emerging as a powerful driver of growth in the global AIaaS market. As the digital landscape becomes increasingly complex and cyber threats grow in sophistication, AI-powered cybersecurity is becoming essential. AIaaS platforms are facilitating this integration by offering advanced machine learning algorithms and predictive analytics that can rapidly analyse massive volumes of data to detect anomalies and patterns indicative of cyberattacks. This proactive approach enables organizations to identify and mitigate threats in real-time, enhancing their overall security posture. The convenience of AIaaS in providing these capabilities without the need for extensive in-house AI expertise is accelerating its adoption across industries. As businesses prioritize safeguarding their digital assets, the fusion of AIaaS with cybersecurity not only strengthens defense mechanisms but also fuels the expansion of the AIaaS market by addressing a critical need in an increasingly interconnected world.

Segmental Insights

Organization Size Insights

Based on organization size, the large enterprise asserts itself as the predominant segment, showcasing unwavering dominance projected over the entire forecast period. This dominance can be attributed to the significant advantages that large enterprises possess, including substantial financial resources, established IT infrastructure, and expansive operational capacities. These factors enable large enterprises to readily invest in and integrate advanced AIaaS solutions, leveraging the power of artificial intelligence to streamline operations, enhance decision-making processes, and gain a competitive edge in their respective markets.

While the AIaaS market is making strides in reaching SMEs, the robust presence of large enterprises in this landscape is undeniable. Their ability to deploy and customize AI-powered applications and services positions them as frontrunners in the adoption of AIaaS solutions. As technological advancements continue to reshape industries, large enterprises are well-positioned to harness the benefits of AI and drive innovation. Their sustained dominance reinforces their central role in shaping the trajectory of the AIaaS market, influencing trends, and contributing to the market's overall growth. Nevertheless, as AIaaS offerings evolve and become more accessible, the potential for increased adoption within SMEs could further diversify the market landscape in the coming years.

Vertical Insights

Based on vertical, the BFSI segment emerges as a formidable frontrunner, exerting its dominance and shaping the market's trajectory throughout the forecast period. This dominance can be attributed to the highly data-driven nature of the BFSI sector, where the efficient analysis of vast volumes of financial data, risk assessment, fraud detection, and customer interactions is paramount. AIaaS offerings cater to these demands by providing scalable and accessible AI-powered tools that enable BFSI institutions to enhance decision-making, automate routine tasks, and personalize customer experiences. As the adoption of AI continues to redefine how financial services are delivered, the BFSI segment's influence on the AIaaS market is expected to persist.

Regional Insights

Asia Pacific stands as a significant and influential player in the global artificial intelligence as a service market, propelled by a confluence of strategic factors that underscore its pivotal role in shaping the industry's growth. The region's dominance can be attributed to its robust technological ecosystem, housing a rich blend of industry titans, innovative startups, and leading research institutions that collectively foster a culture of AI innovation. Complementing this environment, North America boasts a skilled workforce proficient in AI and data science, fueling the development and adoption of AIaaS solutions. With its well-established cloud infrastructure, the region provides a sturdy foundation for scalable and dependable AIaaS platforms. Further bolstering its influence, North America's progressive regulatory frameworks and business-friendly atmosphere attract substantial investments in AI initiatives spanning various sectors, solidifying its stature as a key driving force behind the growth of AIaaS at the global level.

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Recent Developments

In August 2023, Solidus AI Tech announced the launch of their cryptocurrency token, $AITECH, on the TrustSwap Launchpad. This move signifies the company's strategic step into the blockchain and cryptocurrency space. The launch on TrustSwap Launchpad highlights Solidus AI Tech's intent to utilize blockchain technology for their endeavors, possibly aiming to enhance transparency, security, and efficiency in their operations.
In September 2022, the AI4HealthyCities Health Equity Network was established as a collaborative effort between the Novartis Foundation, Microsoft AI for Health, and the New York University (NYU) School of Global Public Health. The primary objective of this network is to leverage the capabilities of data analytics and artificial intelligence (AI) to tackle health disparities related to heart health. By harnessing advanced AI technologies and data-driven insights, the network aims to address and rectify inequities in heart health outcomes.

Key Market Players

· IBM Corporation

· DATAIKU SAS

· Microsoft Corporation

· Oracle Corporation

· Amazon Web Services, Inc.

· BigML Inc.

· Salesforce.com Inc.

· SAS Institute Inc.

· Google LLC

· H2O.Ai Inc.

By Technology

By Organization Size

By Service Type

By Cloud Type

By End User

By Region

Machine Learning

• Natural Language Processing

• Computer Vision

• Others

• Large Enterprise

• Small & Medium Enterprise

• Services

• Software Tools

• Public Cloud

• Private Cloud

• Hybrid Cloud

• BFSI

• Healthcare

• Retail

• IT & Telecom

• Manufacturing

• Energy

• Government

• Others

• North America

• Europe

• South America

• Middle East & Africa

• Asia Pacific

Report Scope:

In this report, the global artificial intelligence as a service market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Global Artificial Intelligence as a Service Market, By Technology:

o Machine Learning

o Natural Language Processing

o Computer Vision

o Others

Global Artificial Intelligence as a Service Market, By Organization Size:

o Large Enterprise

o Small & Medium Enterprise

Global Artificial Intelligence as a Service Market, By Service Type:

o Services

o Software Tools

Global Artificial Intelligence as a Service Market, By Cloud Type:

o Public Cloud

o Private Cloud

o Hybrid Cloud

Global Artificial Intelligence as a Service Market, By End User:

o BFSI

o Healthcare

o Retail

o IT & Telecom

o Manufacturing

o Energy

o Government

o Others

Global Artificial Intelligence as a Service Market, By Region:

o North America

o Europe

o South America

o Middle East & Africa

o Asia Pacific

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence as a Service Market.

Available Customizations:

Global Artificial Intelligence as a Service market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Global Artificial Intelligence as a Service Market is an upcoming report to be released soon. If you wish an early delivery of this report or want to confirm the date of release, please contact us at [email protected]

Table of content

1. Service Overview

1.1. Market Definition

1.2. Scope of the Market

1.2.1. Markets Covered

1.2.2. Years Considered for Study

1.2.3. Key Market Segmentations

2. Research Methodology

2.1. Objective of the Study

2.2. Baseline Methodology

2.3. Key Industry Partners

2.4. Major Association and Secondary Sources

2.5. Forecasting Methodology

2.6. Data Triangulation & Validation

2.7. Assumptions and Limitations

3. Executive Summary

4. Impact of COVID-19 on Global Artificial Intelligence as a Service Market

5. Voice of Customer

6. Global Artificial Intelligence as a Service Market Overview

7. Global Artificial Intelligence as a Service Market Outlook

7.1. Market Size & Forecast

7.1.1. By Value

7.2. Market Share & Forecast

7.2.1. By Technology (Machine Learning, Natural Language Processing, Computer Vision, Others)

7.2.2. By Organization Size (Large Enterprise, Small & Medium Enterprise)

7.2.3. By Service Type (Services, Software Tools)

7.2.4. By Cloud Type (Public Cloud, Private Cloud, Hybrid Cloud)

7.2.5. By Vertical (BFSI, Healthcare, Retail, IT & Telecom, Manufacturing, Energy, Government, Others)

7.2.6. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)

7.2.7. By Top 10 Country

7.2.8. By Company (2022)

7.3. Market Map

8. North America Artificial Intelligence as a Service Market Outlook

8.1. Market Size & Forecast

8.1.1. By Value

8.2. Market Share & Forecast

8.2.1. By Technology

8.2.2. By Organization Size

8.2.3. By Service Type

8.2.4. By Cloud Type

8.2.5. By Vertical

8.3. North America: Country Analysis

8.3.1. United States Artificial Intelligence as a Service Market Outlook

8.3.1.1. Market Size & Forecast

8.3.1.1.1. By Value

8.3.1.2. Market Share & Forecast

8.3.1.2.1. By Technology

8.3.1.2.2. By Organization Size

8.3.1.2.3. By Service Type

8.3.1.2.4. By Cloud Type

8.3.1.2.5. By Vertical

8.3.2. Canada Artificial Intelligence as a Service Market Outlook

8.3.2.1. Market Size & Forecast

8.3.2.1.1. By Value

8.3.2.2. Market Share & Forecast

8.3.2.2.1. By Technology

8.3.2.2.2. By Organization Size

8.3.2.2.3. By Service Type

8.3.2.2.4. By Cloud Type

8.3.2.2.5. By Vertical

8.3.3. Mexico Artificial Intelligence as a Service Market Outlook

8.3.3.1. Market Size & Forecast

8.3.3.1.1. By Value

8.3.3.2. Market Share & Forecast

8.3.3.2.1. By Technology

8.3.3.2.2. By Organization Size

8.3.3.2.3. By Service Type

8.3.3.2.4. By Cloud Type

8.3.3.2.5. By Vertical

9. Europe Artificial Intelligence as a Service Market Outlook

9.1. Market Size & Forecast

9.1.1. By Value

9.2. Market Share & Forecast

9.2.1. By Technology

9.2.2. By Organization Size

9.2.3. By Service Type

9.2.4. By Cloud Type

9.2.5. By Vertical

9.3. Europe: Country Analysis

9.3.1. Germany Artificial Intelligence as a Service Market Outlook

9.3.1.1. Market Size & Forecast

9.3.1.1.1. By Value

9.3.1.2. Market Share & Forecast

9.3.1.2.1. By Technology

9.3.1.2.2. By Organization Size

9.3.1.2.3. By Service Type

9.3.1.2.4. By Cloud Type

9.3.1.2.5. By Vertical

9.3.2. United Kingdom Artificial Intelligence as a Service Market Outlook

9.3.2.1. Market Size & Forecast

9.3.2.1.1. By Value

9.3.2.2. Market Share & Forecast

9.3.2.2.1. By Technology

9.3.2.2.2. By Organization Size

9.3.2.2.3. By Service Type

9.3.2.2.4. By Cloud Type

9.3.2.2.5. By Vertical

9.3.3. France Artificial Intelligence as a Service Market Outlook

9.3.3.1. Market Size & Forecast

9.3.3.1.1. By Value

9.3.3.2. Market Share & Forecast

9.3.3.2.1. By Technology

9.3.3.2.2. By Organization Size

9.3.3.2.3. By Service Type

9.3.3.2.4. By Cloud Type

9.3.3.2.5. By Vertical

9.3.4. Spain Artificial Intelligence as a Service Market Outlook

9.3.4.1. Market Size & Forecast

9.3.4.1.1. By Value

9.3.4.2. Market Share & Forecast

9.3.4.2.1. By Technology

9.3.4.2.2. By Organization Size

9.3.4.2.3. By Service Type

9.3.4.2.4. By Cloud Type

9.3.4.2.5. By Vertical

9.3.5. Italy Artificial Intelligence as a Service Market Outlook

9.3.5.1. Market Size & Forecast

9.3.5.1.1. By Value

9.3.5.2. Market Share & Forecast

9.3.5.2.1. By Technology

9.3.5.2.2. By Organization Size

9.3.5.2.3. By Service Type

9.3.5.2.4. By Cloud Type

9.3.5.2.5. By Vertical

10. South America Artificial Intelligence as a Service Market Outlook

10.1. Market Size & Forecast

10.1.1. By Value

10.2. Market Share & Forecast

10.2.1. By Technology

10.2.2. By Organization Size

10.2.3. By Service Type

10.2.4. By Cloud Type

10.2.5. By Vertical

10.3. South America: Country Analysis

10.3.1. Brazil Artificial Intelligence as a Service Market Outlook

10.3.1.1. Market Size & Forecast

10.3.1.1.1. By Value

10.3.1.2. Market Share & Forecast

10.3.1.2.1. By Technology

10.3.1.2.2. By Organization Size

10.3.1.2.3. By Service Type

10.3.1.2.4. By Cloud Type

10.3.1.2.5. By Vertical

10.3.2. Argentina Artificial Intelligence as a Service Market Outlook

10.3.2.1. Market Size & Forecast

10.3.2.1.1. By Value

10.3.2.2. Market Share & Forecast

10.3.2.2.1. By Technology

10.3.2.2.2. By Organization Size

10.3.2.2.3. By Service Type

10.3.2.2.4. By Cloud Type

10.3.2.2.5. By Vertical

10.3.3. Colombia Artificial Intelligence as a Service Market Outlook

10.3.3.1. Market Size & Forecast

10.3.3.1.1. By Value

10.3.3.2. Market Share & Forecast

10.3.3.2.1. By Technology

10.3.3.2.2. By Organization Size

10.3.3.2.3. By Service Type

10.3.3.2.4. By Cloud Type

10.3.3.2.5. By Vertical

11. Middle East & Africa Artificial Intelligence as a Service Market Outlook

11.1. Market Size & Forecast

11.1.1. By Value

11.2. Market Share & Forecast

11.2.1. By Technology

11.2.2. By Organization Size

11.2.3. By Service Type

11.2.4. By Cloud Type

11.2.5. By Vertical

11.3. Middle East & America: Country Analysis

11.3.1. Israel Artificial Intelligence as a Service Market Outlook

11.3.1.1. Market Size & Forecast

11.3.1.1.1. By Value

11.3.1.2. Market Share & Forecast

11.3.1.2.1. By Technology

11.3.1.2.2. By Organization Size

11.3.1.2.3. By Service Type

11.3.1.2.4. By Cloud Type

11.3.1.2.5. By Vertical

11.3.2. Qatar Artificial Intelligence as a Service Market Outlook

11.3.2.1. Market Size & Forecast

11.3.2.1.1. By Value

11.3.2.2. Market Share & Forecast

11.3.2.2.1. By Technology

11.3.2.2.2. By Organization Size

11.3.2.2.3. By Service Type

11.3.2.2.4. By Cloud Type

11.3.2.2.5. By Vertical

11.3.3. UAE Artificial Intelligence as a Service Market Outlook

11.3.3.1. Market Size & Forecast

11.3.3.1.1. By Value

11.3.3.2. Market Share & Forecast

11.3.3.2.1. By Technology

11.3.3.2.2. By Organization Size

11.3.3.2.3. By Service Type

11.3.3.2.4. By Cloud Type

11.3.3.2.5. By Vertical

11.3.4. Saudi Arabia Artificial Intelligence as a Service Market Outlook

11.3.4.1. Market Size & Forecast

11.3.4.1.1. By Value

11.3.4.2. Market Share & Forecast

11.3.4.2.1. By Technology

11.3.4.2.2. By Organization Size

11.3.4.2.3. By Service Type

11.3.4.2.4. By Cloud Type

11.3.4.2.5. By Vertical

12. Asia Pacific Artificial Intelligence as a Service Market Outlook

12.1. Market Size & Forecast

12.1.1. By Value

12.2. Market Share & Forecast

12.2.1. By Technology

12.2.2. By Organization Size

12.2.3. By Service Type

12.2.4. By Cloud Type

12.2.5. By Vertical

12.3. Asia Pacific: Country Analysis

12.3.1. China Artificial Intelligence as a Service Market Outlook

12.3.1.1. Market Size & Forecast

12.3.1.1.1. By Value

12.3.1.2. Market Share & Forecast

12.3.1.2.1. By Technology

12.3.1.2.2. By Organization Size

12.3.1.2.3. By Service Type

12.3.1.2.4. By Cloud Type

12.3.1.2.5. By Vertical

12.3.2. Japan Artificial Intelligence as a Service Market Outlook

12.3.2.1. Market Size & Forecast

12.3.2.1.1. By Value

12.3.2.2. Market Share & Forecast

12.3.2.2.1. By Technology

12.3.2.2.2. By Organization Size

12.3.2.2.3. By Service Type

12.3.2.2.4. By Cloud Type

12.3.2.2.5. By Vertical

12.3.3. South Korea Artificial Intelligence as a Service Market Outlook

12.3.3.1. Market Size & Forecast

12.3.3.1.1. By Value

12.3.3.2. Market Share & Forecast

12.3.3.2.1. By Technology

12.3.3.2.2. By Organization Size

12.3.3.2.3. By Service Type

12.3.3.2.4. By Cloud Type

12.3.3.2.5. By Vertical

12.3.4. India Artificial Intelligence as a Service Market Outlook

12.3.4.1. Market Size & Forecast

12.3.4.1.1. By Value

12.3.4.2. Market Share & Forecast

12.3.4.2.1. By Technology

12.3.4.2.2. By Organization Size

12.3.4.2.3. By Service Type

12.3.4.2.4. By Cloud Type

12.3.4.2.5. By Vertical

12.3.5. Australia Artificial Intelligence as a Service Market Outlook

12.3.5.1. Market Size & Forecast

12.3.5.1.1. By Value

12.3.5.2. Market Share & Forecast

12.3.5.2.1. By Technology

12.3.5.2.2. By Organization Size

12.3.5.2.3. By Service Type

12.3.5.2.4. By Cloud Type

12.3.5.2.5. By Vertical

12.3.6. Singapore Artificial Intelligence as a Service Market Outlook

12.3.6.1. Market Size & Forecast

12.3.6.1.1. By Value

12.3.6.2. Market Share & Forecast

12.3.6.2.1. By Technology

12.3.6.2.2. By Organization Size

12.3.6.2.3. By Service Type

12.3.6.2.4. By Cloud Type

12.3.6.2.5. By Vertical

12.3.7. Malaysia Artificial Intelligence as a Service Market Outlook

12.3.7.1. Market Size & Forecast

12.3.7.1.1. By Value

12.3.7.2. Market Share & Forecast

12.3.7.2.1. By Technology

12.3.7.2.2. By Organization Size

12.3.7.2.3. By Service Type

12.3.7.2.4. By Cloud Type

12.3.7.2.5. By Vertical

12.3.8. Thailand Artificial Intelligence as a Service Market Outlook

12.3.8.1. Market Size & Forecast

12.3.8.1.1. By Value

12.3.8.2. Market Share & Forecast

12.3.8.2.1. By Technology

12.3.8.2.2. By Organization Size

12.3.8.2.3. By Service Type

12.3.8.2.4. By Cloud Type

12.3.8.2.5. By Vertical

12.3.9. Indonesia Artificial Intelligence as a Service Market Outlook

12.3.9.1. Market Size & Forecast

12.3.9.1.1. By Value

12.3.9.2. Market Share & Forecast

12.3.9.2.1. By Technology

12.3.9.2.2. By Organization Size

12.3.9.2.3. By Service Type

12.3.9.2.4. By Cloud Type

12.3.9.2.5. By Vertical

12.3.10. Philippines Artificial Intelligence as a Service Market Outlook

12.3.10.1. Market Size & Forecast

12.3.10.1.1. By Value

12.3.10.2. Market Share & Forecast

12.3.10.2.1. By Technology

12.3.10.2.2. By Organization Size

12.3.10.2.3. By Service Type

12.3.10.2.4. By Cloud Type

12.3.10.2.5. By Vertical

13. Market Dynamics

13.1. Drivers

13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

15.1. IBM Corporation

15.1.1. Business Overview

15.1.2. Key Financials & Revenue

15.1.3. Key Contact Person

15.1.4. Headquarters Address

15.1.5. Key Product/Service Offered

15.2. DATAIKU SAS

15.2.1. Business Overview

15.2.2. Key Financials & Revenue

15.2.3. Key Contact Person

15.2.4. Headquarters Address

15.2.5. Key Product/Service Offered

15.3. Microsoft Corporation

15.3.1. Business Overview

15.3.2. Key Financials & Revenue

15.3.3. Key Contact Person

15.3.4. Headquarters Address

15.3.5. Key Product/Service Offered

15.4. Oracle Corporation

15.4.1. Business Overview

15.4.2. Key Financials & Revenue

15.4.3. Key Contact Person

15.4.4. Headquarters Address

15.4.5. Key Product/Service Offered

15.5. Amazon Web Services, Inc.

15.5.1. Business Overview

15.5.2. Key Financials & Revenue

15.5.3. Key Contact Person

15.5.4. Headquarters Address

15.5.5. Key Product/Service Offered

15.6. BigML Inc.

15.6.1. Business Overview

15.6.2. Key Financials & Revenue

15.6.3. Key Contact Person

15.6.4. Headquarters Address

15.6.5. Key Product/Service Offered

15.7. Salesforce.com Inc.

15.7.1. Business Overview

15.7.2. Key Financials & Revenue

15.7.3. Key Contact Person

15.7.4. Headquarters Address

15.7.5. Key Product/Service Offered

15.8. SAS Institute Inc.

15.8.1. Business Overview

15.8.2. Key Financials & Revenue

15.8.3. Key Contact Person

15.8.4. Headquarters Address

15.8.5. Key Product/Service Offered

15.9. Google LLC

15.9.1. Business Overview

15.9.2. Key Financials & Revenue

15.9.3. Key Contact Person

15.9.4. Headquarters Address

15.9.5. Key Product/Service Offered

15.10.H2O.Ai Inc.

15.10.1. Business Overview

15.10.2. Key Financials & Revenue

15.10.3. Key Contact Person

15.10.4. Headquarters Address

15.10.5. Key Product/Service Offered

16. Strategic Recommendations

17. About Us & Disclaimer

Figures and Tables

Frequently asked questions

What was the market size of the Global Artificial Intelligence as a Service Market in 2022?

The market size of the global artificial intelligence as a service market was USD 8.24 billion in 2022.

Which was the dominant segment by service type in the Global Artificial Intelligence as a Service Market in 2022?

In 2022, software tools were the dominant segment by service type in the global artificial intelligence as a service market. This dominance is reflective of the essential role that software tools play in providing the core capabilities required for AI implementation and utilization. These tools encompass a wide range of functionalities, including machine learning frameworks, data processing libraries, and model development environments, all of which are crucial components for creating and deploying AI solutions.

Which are the key players in the Global Artificial Intelligence as a Service Market?

Key players in the market are IBM Corporation, DATAIKU SAS, Microsoft Corporation, Oracle Corporation, Amazon Web Services, Inc., BigML Inc., Salesforce.com Inc., SAS Institute Inc., Google LLC, H2O.Ai Inc. and others.

What are the major drivers for the Global Artificial Intelligence as a Service Market?

The increasing demand for predictive and analytics solutions and the increasing demand for advanced AI capabilities are the major drivers for the global artificial intelligence as a service market.

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Sakshi Bajaal

Business Consultant

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Press Release

Artificial Intelligence as a Service Market to be Led by Increasing Demand for Advanced AI Capabilities across the Globe Through 2028

Sep, 2023

The Increasing Demand for Predictive and Analytics Solutions is driving the Implementation of Artificial Intelligence as a Service market across the Globe.

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