Artificial Intelligence SaaS Market Size, Share, Trends, Growth 2034

Artificial Intelligence SAAS Market

Artificial Intelligence SAAS Market By Deployment Mode (On-Premises and Cloud-Based), By Organization Size (Small & Medium Enterprises and Large Enterprises), By End-User Industry (Retail & E-commerce, Banking, Financial Services, & Insurance (BFSI), Telecommunications, Manufacturing, Energy & Utilities, IT & ITes, Logistics & Supply Chain, Healthcare & Life Sciences, and Others), and By Region - Global and Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2025 - 2034

Category: Technology & Media Report Format : PDF Pages: 215 Report Code: ZMR-9416 Published Date: Apr-2025 Status : Published
Market Size in 2024 Market Forecast in 2034 CAGR (in %) Base Year
USD 155.22 Billion USD 2,973.14 Billion 38.40% 2024

Artificial Intelligence SAAS Market

Artificial Intelligence SAAS Industry Prospective:

The global Artificial Intelligence SaaS market size was worth around USD 115.22 billion in 2024 and is predicted to grow to around USD 2,973.14 billion by 2034, with a compound annual growth rate (CAGR) of roughly 38.40% between 2025 and 2034.

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Artificial Intelligence SAAS Market: Overview

Artificial Intelligence (AI) software-as-a-service (SaaS) model refers to the use of AI solutions dispersed through cloud technology. Using the growing penetration of SaaS methods in the technology world, end-users can use advanced AI tools for different operations with minimal cost and resource investment.

Leveraging the power of cloud technology, AI solution providers can deliver advanced functions such as natural language processing, machine learning, and computer vision to a wide range of customers.

In most cases, AI SaaS tools are available through subscription-based payment methods, ensuring that end-users can change their AI strategy to fit their business needs as quickly as possible. Some of the key features of AI SaaS include higher cost-efficiency, scalability, and frequent updates.

During the forecast period, Artificial Intelligence SaaS providers are expected to benefit from the increasing adoption of the tools in the healthcare and e-commerce industries. Growing advancements in cloud technology may offer more opportunities for the market players to expand further.

However, concerns over data security and privacy breaches, along with the relatively higher cost of using AI tools, may impact market revenue in the long run.

Key Insights:

  • As per the analysis shared by our research analyst, the global Artificial Intelligence SaaS market is estimated to grow annually at a CAGR of around 38.40% over the forecast period (2025-2034)
  • In terms of revenue, the global Artificial Intelligence SaaS market size was valued at around USD 115.22 billion in 2024 and is projected to reach USD 2,973.14 billion by 2034.
  • The Artificial Intelligence SaaS market is projected to grow at a significant rate due to the increasing use of AI SaaS tools in healthcare.
  • Based on the deployment mode, the cloud-based segment is growing at a high rate and will continue to dominate the global market as per industry projections.
  • Based on the end-user industry, the retail & e-commerce segment is anticipated to command the largest market share
  • Based on region, North America is projected to dominate the global market during the forecast period.

Artificial Intelligence SAAS Market: Growth Drivers

Increasing use of AI SaaS tools in healthcare to continue generating higher revenue for industry players

The global Artificial Intelligence SaaS market is expected to be driven by the growing use of cloud-based AI tools in the healthcare industry. Artificial Intelligence solutions dispersed through software-as-a-service medium are regularly used in several aspects of healthcare-related operations such as drug discovery, diagnostics, remote patient monitoring, and delivering customized medicines.

The current global healthcare infrastructure is under burdensome pressure due to increasing numbers of patients worldwide requiring advanced to basic medical care.

In addition, the rate of new drug discovery compared to the number of fatalities caused by common diseases has been growing steadily over the years. These factors have resulted in an urgent demand to accelerate new drug development, subsequently encouraging the need to use AI for drug discovery.

In July 2024, Exscientia plc announced that the company was expanding its partnership with Amazon Web Services (AWS) to use the machine learning (ML) and AI capabilities of AWS to power its end-to-end drug discovery and automation platform.

Currently, Exscientia plc is using the generative AI offerings of Amazon Web Services to identify and design drug candidates that have higher chances of targeting specific diseases and patients. The growing digitalization of the healthcare industry will be essential to the higher use of AI SaaS technologies in the coming years.

E-commerce players to continue acting as crucial revenue generators for the market players

The e-commerce industry is one of the largest users of AI SaaS platforms. E-commerce brands such as Amazon, Alibaba, and other regional players frequently use AI solutions for fraud detection, customer service, inventory management, and supply chain.

Artificial Intelligence has helped e-commerce firms deliver a more personalized and engaging shopping experience to their customers, especially as the competition within the industry has been skyrocketing in the last few years. The global Artificial Intelligence SaaS market will continue to benefit as e-commerce firms expand their business reach and customer base.

Artificial Intelligence SAAS Market: Restraints

Rising subscription fees to limit market expansion during the forecast period

The global Artificial Intelligence SaaS industry is expected to be restricted by the rising subscription fees of the platforms. The surge in fees is especially evident in the case of the use of advanced features of the tools.

For instance, in a recent event, the subscription fees for the Microsoft 365 suite were increased from USD 70 to USD 100 per year since the company integrated new features into the tool.

Similarly, other major AI SaaS tool providers are raising the price of using the tool as the initial platform development cost is becoming more expensive.

Artificial Intelligence SAAS Market: Opportunities

Growing advancements in cloud technologies to generate more opportunities in the coming years

The global Artificial Intelligence SaaS market is expected to experience more growth avenues due to the increasing advancements in cloud-related technologies.

Some of the recent trends expected to revolutionize cloud-based platforms include edge computing, serverless computing, low code/no code, FinOps, and DevSecOps.

Serverless computing, for instance, is expected to dramatically reduce the cost of operating and maintaining a tool, as expenses related to servers will be drastically reduced. In addition, edge computing will allow improved data processing near the source. This, in turn, will diminish latency in data processing and allow improved performance of the tool.

In March 2025, Amazon Web Services announced that Amazon Bedrock was now providing access to DeepSeek-R1 as a fully managed serverless model.

According to official reports, more than USD 5.9 billion was invested in edge computing solutions in 2024 as the technology is being viewed as a critical accelerator for AI and generative AI-based innovations.

Artificial Intelligence SAAS Market: Challenges

Risk of security breach and loss of confidential information to challenge market expansion

The global artificial intelligence SaaS industry is expected to be challenged by the growing risk of security breaches and privacy invasions. Cloud-based tools are highly susceptible to the growing rate of cyberattacks. 2024 witnessed an over 30% increase in cyberattacks as compared to 2023, according to official reports. Companies can lose confidential information leading to severe financial and reputational damage.

Artificial Intelligence SAAS Market: Report Scope

Report Attributes Report Details
Report Name Artificial Intelligence SAAS Market
Market Size in 2024 USD 115.22 Billion
Market Forecast in 2034 USD 2,973.14 Billion
Growth Rate CAGR of 38.40%
Number of Pages 215
Key Companies Covered OpenAI, Shift Technology, Aleph Alpha, C3.ai, Inflection AI, Mistral AI, Dataiku, Hugging Face, AI21 Labs, Element AI, Anthropic, Synthesia, Appier, Stability AI, One Concern, and others.
Segments Covered By Deployment Mode, By Organization Size, By End-User Industry, and By Region
Regions Covered North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA)
Base Year 2024
Historical Year 2019 to 2023
Forecast Year 2025 - 2034
Customization Scope Avail customized purchase options to meet your exact research needs. Request For Customization

Artificial Intelligence SAAS Market: Segmentation

The global Artificial Intelligence SaaS market is segmented based on deployment mode, organization size, end-user industry, and region.

Based on the deployment mode, the global market segments are on-premises and cloud-based. In 2024, the highest growth was listed in the cloud-based segment. The increasing penetration of digital platforms and applications powered by cloud technology is fueling segmental revenue. More than 90% of companies worldwide are using some form of cloud technology in their business.

Additionally, the advantages of AI SaaS, such as higher flexibility and improved return on investment (ROI), will encourage improved adoption of the solutions available in the market.

Based on organization size, the global Artificial Intelligence SaaS industry is divided into small & medium enterprises and large enterprises.

Based on the end-user industry, the global market segments are retail & e-commerce, banking, financial services, & insurance (BFSI), telecommunications, manufacturing, energy & utilities, IT & ITes, logistics & supply chain, healthcare & life sciences, and others. In 2024, the highest revenue was generated by the retail & e-commerce industry.

Online sales platforms are upgrading their information technology (IT) infrastructure to keep pace with the evolving demands of consumers. Amazon is reported to spend over USD 100 billion on capital expenditures in 2025, according to market findings.

Artificial Intelligence SAAS Market: Regional Analysis

North America is expected to deliver the highest revenue during the forecast period

The global Artificial Intelligence SaaS market will be dominated by North America during the forecast period. The US will lead the regional market revenue according to past statistics and future forecasts.

The US is home to some of the leading AI developers in the regional and global economy. Artificial intelligence-based investments in the US have improved in the last few years, and more can be expected during the projection.

In addition, cloud-based AI technologies in North America are widely adopted as the technologies have several beneficial offerings. In October 2024, Vizit, a Boston-based developer of Visual AI software providing services to global customers, announced that it had received funding of USD 25 million in a Series B round. The company is expected to use the funds for further expansion and technological growth.

In January 2024, Kapture CX, an Indian technology company, announced the expansion of its business operations in the US Energy Retail sector as it launched its highly popular AI and ML-powered Customer Experience Automation platform. Regional industries such as telecom, e-commerce, retail, and healthcare will emerge as critical regional market growth drivers in North America.

Artificial Intelligence SAAS Market: Competitive Analysis

The global Artificial Intelligence SaaS market is led by players like:

  • OpenAI
  • Shift Technology
  • Aleph Alpha
  • C3.ai
  • Inflection AI
  • Mistral AI
  • Dataiku
  • Hugging Face
  • AI21 Labs
  • Element AI
  • Anthropic
  • Synthesia
  • Appier
  • Stability AI
  • One Concern

The global Artificial Intelligence SaaS market is segmented as follows:

By Deployment Mode

  • On-Premises
  • Cloud-Based

By Organization Size

  • Small & Medium Enterprises
  • Large Enterprises

By End-User Industry

  • Retail & E-commerce
  • Banking, Financial Services & Insurance (BFSI)
  • Telecommunications
  • Manufacturing
  • Energy & Utilities
  • IT & ITes
  • Logistics & Supply Chain
  • Healthcare & Life Sciences
  • Others

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France 
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

Methodology

FrequentlyAsked Questions

Artificial Intelligence (AI) software-as-a-service (SaaS) model refers to the use of AI solutions dispersed through cloud technology.

The global Artificial Intelligence SaaS market is expected to be driven by the growing use of cloud-based AI tools in the healthcare industry.

According to study, the global Artificial Intelligence SaaS market size was worth around USD 115.22 billion in 2024 and is predicted to grow to around USD 2,973.14 billion by 2034.

The CAGR value of the Artificial Intelligence SaaS market is expected to be around 38.40% during 2025-2034.

The global Artificial Intelligence SaaS market will be dominated by North America during the forecast period.

The global Artificial Intelligence SaaS market is led by players like OpenAI, Shift Technology, Aleph Alpha, C3.ai, Inflection AI, Mistral AI, Dataiku, Hugging Face, AI21 Labs, Element AI, Anthropic, Synthesia, Appier, Stability AI, and One Concern.

The report explores crucial aspects of the Artificial Intelligence SaaS market, including a detailed discussion of existing growth factors and restraints, while browsing future growth opportunities and challenges that impact the market.

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