The ai as a service market has grown exponentially in recent years. It will grow from $9.86 billion in 2023 to $14.27 billion in 2024 at a compound annual growth rate (CAGR) of 44.7%. The growth observed in the historical period can be attributed to several factors, including advancements in cloud computing, increased availability and volume of data, cost-effective solutions, advances in algorithms, and the development of industry-specific applications. These factors collectively contributed to the expansion and adoption of Artificial Intelligence as a Service (AIaaS) during that period.
The ai as a service market is expected to see exponential growth in the next few years. It will grow to $63.2 billion in 2028 at a compound annual growth rate (CAGR) of 45.1%. The anticipated growth in the forecast period can be attributed to several key factors, including the application of AI for sustainability, the utilization of AI to enhance customer experience, increasing demand for AI-driven insights, the consideration of AI ethics and regulations, and a focus on explainable AI. Additionally, major trends expected in the forecast period include the democratization of AI, integration of AI in the Internet of Things (IoT), AI-enabled automation, augmented analytics, and the expansion of conversational AI. These trends reflect the evolving landscape and diverse applications of AI technologies across various sectors.
The anticipated increase in spending on artificial intelligence is set to drive the growth of the AI as a service market in the future. Artificial intelligence involves machines, particularly computer systems, replicating human intellectual functions. AI as a service allows individuals and organizations to experiment with AI for various purposes with a smaller initial commitment and lower risk. The growing investment in artificial intelligence is a significant driver for the AI as a service market. For example, in January 2022, the Government Digital Service, a UK-based IT service management company, reported that in 2020, the 432,000 UK enterprises that had implemented AI spent a total of $57.91 billion on manpower related to the creation, upkeep, and operation of such technologies. It is projected that by 2025, spending on employment connected to artificial intelligence (AI) may increase to between $100.96 billion and $129.91 billion, with annual growth rates of around 11.7% and 17.5%, respectively. This upward trend in spending on artificial intelligence is a driving force behind the growth of the AI as a service market.
The increasing adoption of cloud services is expected to contribute to the expansion of the AI as a service market. Cloud computing, which involves a network of remote servers on the Internet storing, managing, and delivering data, applications, and services, plays a crucial role in AI as a service. Cloud computing provides scalable infrastructure, enabling efficient processing and storage of vast datasets, widespread accessibility to AI resources, and seamless integration and deployment for various applications. For instance, in December 2021, Eurostat, a Europe-based intergovernmental organization, reported that 41% of EU enterprises used cloud computing in 2021, representing a 5% increase compared to 2020. The rising adoption of cloud services is a key factor driving the growth of the AI as a service market.
Technology advancements have emerged as a key trend in the AI as a service market, with companies actively adopting new technologies to strengthen their market positions. In March 2023, Nvidia Corporation, a US-based software company, launched the "DGX Cloud," a new cloud supercomputing service technology that provides GPU supercomputers-as-a-Service. This offering allows businesses to access both hardware and software for developing advanced models for generative AI and other applications, showcasing the ongoing technological innovations in the AI as a service sector.
Major companies in the AI as a service market are placing a heightened focus on introducing innovative products to gain a competitive edge. EY.ai, launched by Ernst & Young Global Limited in September 2023, is a notable example. EY.ai is a unifying platform that leverages artificial intelligence to streamline and enhance business processes, offering a comprehensive solution for data analytics, automation, and intelligent decision-making within enterprises. Ernst & Young Global Limited has invested $1.4 billion in the platform, which integrates leading EY technology platforms and AI capabilities with deep expertise in various domains. EY.ai aims to help companies confidently and responsibly adopt AI by providing an extensive AI ecosystem, including alliances with innovative organizations and a secure, large language model called EY.ai EYQ.
In July 2022, International Business Machines Corporation (IBM), a US-based multinational technology company, acquired Databand.AI for $150 million. This strategic acquisition strengthens IBM's capabilities in hybrid cloud and AI, particularly in the areas of data quality, monitoring pipeline health, and automating advanced DataOps processes. Databand.AI, an Israel-based technology company, focuses on enabling individuals to track data quality, monitor pipeline health, and automate DataOps processes, aligning with IBM's commitment to enhancing its capabilities in these domains.
Major companies operating in the ai as a service market report are Amazon Web Services Inc., Salesforce Inc., International Business Machines Corporation, Microsoft Corporation, Google Inc., SAP SE, Intel Corporation, BigML Inc., Fair Isaac Corporation, SAS Institute Inc., Siemens, Apple Inc., CognitiveScale Inc., Dataiku SAS, Oracle Corporation, H2O.ai Inc., Craft.AI, DataRobot Inc., OpenAI LP, Baidu Inc., NVIDIA Corporation, General Electric Company, Infosys Limited, Wipro Limited, Tata Consultancy Services Limited, Accenture plc, CloudMinds Technology Inc., Palantir Technologies, C3.ai, Databricks.
North America was the largest region in the AI as a service market in 2023. Asia-Pacific is expected to be the fastest-growing region in the global AI as a service market report during the forecast period. The regions covered in the ai as a service market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai as a service market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The main components of AI as a service include solutions and services. AI solutions are pre-built or adaptable programs designed to address specific use cases and tackle particular business challenges. These AI technologies can leverage both structured and unstructured data to predict events, issue warnings, or identify trends beneficial to enterprises. AI as a service encompasses infrastructure as a service, platform as a service, and software as a service, which can be deployed for public, private, and hybrid types of deployments, catering to both small and medium-sized enterprises as well as large enterprises. The sectors benefiting from AI as a service include banking, financial services, and insurance (BFSI), information technology and telecom, retail, manufacturing, public sector, energy and utilities, healthcare, and various other industries.
The AI as a service market research report provides AI as a service market statistics including AI as a service industry global market size, regional shares, competitors with an AI as a service market share, detailed AI as a service market segments, market trends and opportunities, and any further data you may need to thrive in the AI as a service industry. This AI as a service market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI as a service market includes revenues earned by entities by assisting businesses with their AI future planning and providing them with AI tools and skills in a scalable and adaptable cloud environment. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The AI as a service market consists of sales of reactive machines AI, limited memory AI, theory of mind AI, and self-aware AI. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
The ai as a service market is expected to see exponential growth in the next few years. It will grow to $63.2 billion in 2028 at a compound annual growth rate (CAGR) of 45.1%. The anticipated growth in the forecast period can be attributed to several key factors, including the application of AI for sustainability, the utilization of AI to enhance customer experience, increasing demand for AI-driven insights, the consideration of AI ethics and regulations, and a focus on explainable AI. Additionally, major trends expected in the forecast period include the democratization of AI, integration of AI in the Internet of Things (IoT), AI-enabled automation, augmented analytics, and the expansion of conversational AI. These trends reflect the evolving landscape and diverse applications of AI technologies across various sectors.
The anticipated increase in spending on artificial intelligence is set to drive the growth of the AI as a service market in the future. Artificial intelligence involves machines, particularly computer systems, replicating human intellectual functions. AI as a service allows individuals and organizations to experiment with AI for various purposes with a smaller initial commitment and lower risk. The growing investment in artificial intelligence is a significant driver for the AI as a service market. For example, in January 2022, the Government Digital Service, a UK-based IT service management company, reported that in 2020, the 432,000 UK enterprises that had implemented AI spent a total of $57.91 billion on manpower related to the creation, upkeep, and operation of such technologies. It is projected that by 2025, spending on employment connected to artificial intelligence (AI) may increase to between $100.96 billion and $129.91 billion, with annual growth rates of around 11.7% and 17.5%, respectively. This upward trend in spending on artificial intelligence is a driving force behind the growth of the AI as a service market.
The increasing adoption of cloud services is expected to contribute to the expansion of the AI as a service market. Cloud computing, which involves a network of remote servers on the Internet storing, managing, and delivering data, applications, and services, plays a crucial role in AI as a service. Cloud computing provides scalable infrastructure, enabling efficient processing and storage of vast datasets, widespread accessibility to AI resources, and seamless integration and deployment for various applications. For instance, in December 2021, Eurostat, a Europe-based intergovernmental organization, reported that 41% of EU enterprises used cloud computing in 2021, representing a 5% increase compared to 2020. The rising adoption of cloud services is a key factor driving the growth of the AI as a service market.
Technology advancements have emerged as a key trend in the AI as a service market, with companies actively adopting new technologies to strengthen their market positions. In March 2023, Nvidia Corporation, a US-based software company, launched the "DGX Cloud," a new cloud supercomputing service technology that provides GPU supercomputers-as-a-Service. This offering allows businesses to access both hardware and software for developing advanced models for generative AI and other applications, showcasing the ongoing technological innovations in the AI as a service sector.
Major companies in the AI as a service market are placing a heightened focus on introducing innovative products to gain a competitive edge. EY.ai, launched by Ernst & Young Global Limited in September 2023, is a notable example. EY.ai is a unifying platform that leverages artificial intelligence to streamline and enhance business processes, offering a comprehensive solution for data analytics, automation, and intelligent decision-making within enterprises. Ernst & Young Global Limited has invested $1.4 billion in the platform, which integrates leading EY technology platforms and AI capabilities with deep expertise in various domains. EY.ai aims to help companies confidently and responsibly adopt AI by providing an extensive AI ecosystem, including alliances with innovative organizations and a secure, large language model called EY.ai EYQ.
In July 2022, International Business Machines Corporation (IBM), a US-based multinational technology company, acquired Databand.AI for $150 million. This strategic acquisition strengthens IBM's capabilities in hybrid cloud and AI, particularly in the areas of data quality, monitoring pipeline health, and automating advanced DataOps processes. Databand.AI, an Israel-based technology company, focuses on enabling individuals to track data quality, monitor pipeline health, and automate DataOps processes, aligning with IBM's commitment to enhancing its capabilities in these domains.
Major companies operating in the ai as a service market report are Amazon Web Services Inc., Salesforce Inc., International Business Machines Corporation, Microsoft Corporation, Google Inc., SAP SE, Intel Corporation, BigML Inc., Fair Isaac Corporation, SAS Institute Inc., Siemens, Apple Inc., CognitiveScale Inc., Dataiku SAS, Oracle Corporation, H2O.ai Inc., Craft.AI, DataRobot Inc., OpenAI LP, Baidu Inc., NVIDIA Corporation, General Electric Company, Infosys Limited, Wipro Limited, Tata Consultancy Services Limited, Accenture plc, CloudMinds Technology Inc., Palantir Technologies, C3.ai, Databricks.
North America was the largest region in the AI as a service market in 2023. Asia-Pacific is expected to be the fastest-growing region in the global AI as a service market report during the forecast period. The regions covered in the ai as a service market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai as a service market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The main components of AI as a service include solutions and services. AI solutions are pre-built or adaptable programs designed to address specific use cases and tackle particular business challenges. These AI technologies can leverage both structured and unstructured data to predict events, issue warnings, or identify trends beneficial to enterprises. AI as a service encompasses infrastructure as a service, platform as a service, and software as a service, which can be deployed for public, private, and hybrid types of deployments, catering to both small and medium-sized enterprises as well as large enterprises. The sectors benefiting from AI as a service include banking, financial services, and insurance (BFSI), information technology and telecom, retail, manufacturing, public sector, energy and utilities, healthcare, and various other industries.
The AI as a service market research report provides AI as a service market statistics including AI as a service industry global market size, regional shares, competitors with an AI as a service market share, detailed AI as a service market segments, market trends and opportunities, and any further data you may need to thrive in the AI as a service industry. This AI as a service market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The AI as a service market includes revenues earned by entities by assisting businesses with their AI future planning and providing them with AI tools and skills in a scalable and adaptable cloud environment. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The AI as a service market consists of sales of reactive machines AI, limited memory AI, theory of mind AI, and self-aware AI. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. AI as a Service Market Characteristics3. AI as a Service Market Trends and Strategies31. Global AI as a Service Market Competitive Benchmarking32. Global AI as a Service Market Competitive Dashboard33. Key Mergers and Acquisitions in the AI as a Service Market
4. AI as a Service Market - Macro Economic Scenario
5. Global AI as a Service Market Size and Growth
6. AI as a Service Market Segmentation
7. AI as a Service Market Regional and Country Analysis
8. Asia-Pacific AI as a Service Market
9. China AI as a Service Market
10. India AI as a Service Market
11. Japan AI as a Service Market
12. Australia AI as a Service Market
13. Indonesia AI as a Service Market
14. South Korea AI as a Service Market
15. Western Europe AI as a Service Market
16. UK AI as a Service Market
17. Germany AI as a Service Market
18. France AI as a Service Market
19. Italy AI as a Service Market
20. Spain AI as a Service Market
21. Eastern Europe AI as a Service Market
22. Russia AI as a Service Market
23. North America AI as a Service Market
24. USA AI as a Service Market
25. Canada AI as a Service Market
26. South America AI as a Service Market
27. Brazil AI as a Service Market
28. Middle East AI as a Service Market
29. Africa AI as a Service Market
30. AI as a Service Market Competitive Landscape and Company Profiles
34. AI as a Service Market Future Outlook and Potential Analysis
35. Appendix
Executive Summary
This report provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on ai as a service market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase
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- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for ai as a service? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? This report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Component: Solutions; Services
2) By Offering: Infrastructure As A Service; Platform As A Service; Software As A Service
3) By Deployment: Public; Private; Hybrid
4) By Organization Size: Small And Medium-Sized Enterprises; Large Enterprises
5) By Industry: Banking, Finance Services, And Insurance (BFSI); Information Technology (IT) And Telecom; Retail; Manufacturing; Public Sector; Energy And Utilities; Healthcare; Other Industries
Companies Mentioned: Amazon Web Services Inc.; Salesforce Inc.; International Business Machines Corporation; Microsoft Corporation; Google Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes
Delivery Format: PDF, Word and Excel Data Dashboard
Companies Mentioned
- Amazon Web Services Inc.
- Salesforce Inc.
- International Business Machines Corporation
- Microsoft Corporation
- Google Inc.
- SAP SE
- Intel Corporation
- BigML Inc.
- Fair Isaac Corporation
- SAS Institute Inc.
- Siemens
- Apple Inc.
- CognitiveScale Inc.
- Dataiku SAS
- Oracle Corporation
- H2O.ai Inc.
- Craft.AI
- DataRobot Inc.
- OpenAI LP
- Baidu Inc.
- NVIDIA Corporation
- General Electric Company
- Infosys Limited
- Wipro Limited
- Tata Consultancy Services Limited
- Accenture plc
- CloudMinds Technology Inc.
- Palantir Technologies
- C3.ai
- Databricks
Methodology
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