The artificial intelligence as a service (aiaas) market size has grown exponentially in recent years. It will grow from $10.42 billion in 2023 to $14.44 billion in 2024 at a compound annual growth rate (CAGR) of 38.6%. The growth observed during the historical period can be ascribed to multiple factors, including the escalating demand for AI-driven solutions across diverse industries, advancements in machine learning algorithms and deep learning technologies, the widespread adoption of cloud computing and big data analytics, a requisite for cost-effective and scalable AI solutions, the proliferation of IoT and connected devices generating substantial data, and the expansion of AI applications into sectors such as healthcare, finance, retail, and others. Additionally, there has been a notable emphasis on automation and process optimization contributing to the growth during this period.
The artificial intelligence as a service (aiaas) market size is expected to see exponential growth in the next few years. It will grow to $54.08 billion in 2028 at a compound annual growth rate (CAGR) of 39.1%. The anticipated growth in the forecast period can be linked to several factors, including the development of AI-powered virtual assistants and chatbots, the availability of AI platforms and tools offered by major cloud service providers, integration of AI with edge computing for real-time decision-making, a heightened demand for personalized customer experiences and predictive analytics, government initiatives fostering AI adoption and research, increased investment in AI startups and innovation hubs, growing awareness about the potential of AI in business transformation, and the imperative need for AI expertise and talent within organizations. Prominent trends expected in the forecast period encompass advancements in AI technology, predictive analytics solutions, progress in cloud computing infrastructure, evolution in cloud computing technology, and the emergence of upcoming machine translation capabilities.
The anticipated increase in businesses' dependence on artificial intelligence (AI) is poised to drive the growth of the artificial intelligence as a service (AIaaS) market in the foreseeable future. AI in business denotes the utilization of intelligent computer software with human-such as capabilities to enhance revenue, improve customer experience, boost productivity and efficiency, and propel business growth and transformation. Artificial intelligence as a service (AIaaS) enables businesses to access pre-built AI models and tools via the cloud, empowering entities of varying sizes to harness the potential of AI without the substantial upfront investments and technical expertise required for in-house development. As per a poll conducted by The International Business Machines Corporation in May 2022, involving 7,502 businesses, approximately 35-36% of global companies were already implementing AI, with 42-64% exploring its potential. Moreover, 64% of businesses believe that AI will enhance business productivity, and 42% anticipate streamlining job processes. Consequently, the mounting dependence of businesses on artificial intelligence is propelling the growth of the artificial intelligence as a service (AIaaS) market.
Prominent companies operating in the artificial intelligence as a service (AIaaS) market are strategically dedicating efforts to the development of advanced technological solutions, such as generative AI solutions, to secure a competitive advantage. Generative AI pertains to AI systems capable of generating new content, including text or images, by learning from existing data. For example, in March 2023, Salesforce, Inc., a US-based software company, unveiled Einstein GPT, the initial generative AI for CRM. This robust tool integrates public and private AI models with CRM data, allowing users to generate reliable content from their CRM data using natural language prompts. Customization is facilitated by fine-tuning the AI models to meet specific business requirements. Einstein GPT enables customers to connect data to OpenAI's state-of-the-art AI models right out of the box or select an external model, using natural language prompts directly within Salesforce CRM to generate content dynamically adjusting in real time to changing customer data and needs.
In January 2023, DNV, a Norway-based assurance and risk management company, completed the acquisition of Proxima Solutions for an undisclosed sum. The acquisition is intended to fortify DNV's green power monitor (GPM) business and broaden its array of asset-centric modules. Proxima Solutions, a Germany-based provider of AI-as-a-Service for aerospace through a cloud platform, aligns seamlessly with DNV's strategic objectives.
Major companies operating in the artificial intelligence as a service (aiaas) market report are Apple Inc, Google LLC, Microsoft Corporation, Dell Technologies Inc., Huawei Technologies Co. Ltd., Hitachi Ltd., Amazon Web Services Inc., Siemens AG, Intel Corporation, Accenture Plc, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce Inc., NVIDIA Corporation, Fujitsu Ltd., Cognizant Technology Solutions Corp., ZTE Corporation, Baidu Inc., Infosys Ltd., Super Micro Computer Inc, SAS Institute Inc., Arm Limited (SoftBank Group Corp.), Fair Isaac Company (FICO), DataRobot Inc., Cognitivescale Inc., Iris.AI, BigML Inc, Atomwise Inc., craft.AI.
North America was the largest region in the artificial intelligence as a service (AIaaS) market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence as a service (aiaas) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence as a service (AIaaS) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence as a service (AIaaS) market includes revenues earned by entities by providing custom cognitive computing APIs, conversational AI, and cognitive computing APIs. 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 artificial intelligence as a service (AIaaS) market consists of sales of central processing units (CPUs), graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and tensor processing units (TPUs). 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).
Artificial Intelligence as a Service (AIaaS) is a technological paradigm that delivers AI services via the cloud, enabling businesses to access AI capabilities without the necessity of investing in expensive hardware or software. This approach empowers organizations with cost-effective, scalable, and flexible access to AI technologies and services.
The primary categories within Artificial Intelligence as a Service (AIaaS) encompass services and software solutions. Services refer to a set of interrelated activities, resources, and capabilities provided to users, systems, or entities to fulfill specific needs or requirements. Cloud deployment options include public cloud, hybrid cloud, and private cloud, incorporating various technologies such as natural language processing, machine learning, computer vision, and deep learning, among others. This technology finds application across diverse enterprise sizes, including large enterprises and small to medium enterprises, spanning industries such as IT and telecom, healthcare, energy and utility, manufacturing, retail, government, banking, financial services, insurance, and others.
The artificial intelligence as a service (AIaaS) market research report is one of a series of new reports that provides artificial intelligence as a service (AIaaS) market statistics, including artificial intelligence as a service (AIaaS) industry global market size, regional shares, competitors with a artificial intelligence as a service (AIaaS) market share, detailed artificial intelligence as a service (AIaaS) market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence as a service (AIaaS) industry. This artificial intelligence as a service (AIaaS) 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 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 artificial intelligence as a service (aiaas) market size is expected to see exponential growth in the next few years. It will grow to $54.08 billion in 2028 at a compound annual growth rate (CAGR) of 39.1%. The anticipated growth in the forecast period can be linked to several factors, including the development of AI-powered virtual assistants and chatbots, the availability of AI platforms and tools offered by major cloud service providers, integration of AI with edge computing for real-time decision-making, a heightened demand for personalized customer experiences and predictive analytics, government initiatives fostering AI adoption and research, increased investment in AI startups and innovation hubs, growing awareness about the potential of AI in business transformation, and the imperative need for AI expertise and talent within organizations. Prominent trends expected in the forecast period encompass advancements in AI technology, predictive analytics solutions, progress in cloud computing infrastructure, evolution in cloud computing technology, and the emergence of upcoming machine translation capabilities.
The anticipated increase in businesses' dependence on artificial intelligence (AI) is poised to drive the growth of the artificial intelligence as a service (AIaaS) market in the foreseeable future. AI in business denotes the utilization of intelligent computer software with human-such as capabilities to enhance revenue, improve customer experience, boost productivity and efficiency, and propel business growth and transformation. Artificial intelligence as a service (AIaaS) enables businesses to access pre-built AI models and tools via the cloud, empowering entities of varying sizes to harness the potential of AI without the substantial upfront investments and technical expertise required for in-house development. As per a poll conducted by The International Business Machines Corporation in May 2022, involving 7,502 businesses, approximately 35-36% of global companies were already implementing AI, with 42-64% exploring its potential. Moreover, 64% of businesses believe that AI will enhance business productivity, and 42% anticipate streamlining job processes. Consequently, the mounting dependence of businesses on artificial intelligence is propelling the growth of the artificial intelligence as a service (AIaaS) market.
Prominent companies operating in the artificial intelligence as a service (AIaaS) market are strategically dedicating efforts to the development of advanced technological solutions, such as generative AI solutions, to secure a competitive advantage. Generative AI pertains to AI systems capable of generating new content, including text or images, by learning from existing data. For example, in March 2023, Salesforce, Inc., a US-based software company, unveiled Einstein GPT, the initial generative AI for CRM. This robust tool integrates public and private AI models with CRM data, allowing users to generate reliable content from their CRM data using natural language prompts. Customization is facilitated by fine-tuning the AI models to meet specific business requirements. Einstein GPT enables customers to connect data to OpenAI's state-of-the-art AI models right out of the box or select an external model, using natural language prompts directly within Salesforce CRM to generate content dynamically adjusting in real time to changing customer data and needs.
In January 2023, DNV, a Norway-based assurance and risk management company, completed the acquisition of Proxima Solutions for an undisclosed sum. The acquisition is intended to fortify DNV's green power monitor (GPM) business and broaden its array of asset-centric modules. Proxima Solutions, a Germany-based provider of AI-as-a-Service for aerospace through a cloud platform, aligns seamlessly with DNV's strategic objectives.
Major companies operating in the artificial intelligence as a service (aiaas) market report are Apple Inc, Google LLC, Microsoft Corporation, Dell Technologies Inc., Huawei Technologies Co. Ltd., Hitachi Ltd., Amazon Web Services Inc., Siemens AG, Intel Corporation, Accenture Plc, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce Inc., NVIDIA Corporation, Fujitsu Ltd., Cognizant Technology Solutions Corp., ZTE Corporation, Baidu Inc., Infosys Ltd., Super Micro Computer Inc, SAS Institute Inc., Arm Limited (SoftBank Group Corp.), Fair Isaac Company (FICO), DataRobot Inc., Cognitivescale Inc., Iris.AI, BigML Inc, Atomwise Inc., craft.AI.
North America was the largest region in the artificial intelligence as a service (AIaaS) market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence as a service (aiaas) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence as a service (AIaaS) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence as a service (AIaaS) market includes revenues earned by entities by providing custom cognitive computing APIs, conversational AI, and cognitive computing APIs. 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 artificial intelligence as a service (AIaaS) market consists of sales of central processing units (CPUs), graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and tensor processing units (TPUs). 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).
Artificial Intelligence as a Service (AIaaS) is a technological paradigm that delivers AI services via the cloud, enabling businesses to access AI capabilities without the necessity of investing in expensive hardware or software. This approach empowers organizations with cost-effective, scalable, and flexible access to AI technologies and services.
The primary categories within Artificial Intelligence as a Service (AIaaS) encompass services and software solutions. Services refer to a set of interrelated activities, resources, and capabilities provided to users, systems, or entities to fulfill specific needs or requirements. Cloud deployment options include public cloud, hybrid cloud, and private cloud, incorporating various technologies such as natural language processing, machine learning, computer vision, and deep learning, among others. This technology finds application across diverse enterprise sizes, including large enterprises and small to medium enterprises, spanning industries such as IT and telecom, healthcare, energy and utility, manufacturing, retail, government, banking, financial services, insurance, and others.
The artificial intelligence as a service (AIaaS) market research report is one of a series of new reports that provides artificial intelligence as a service (AIaaS) market statistics, including artificial intelligence as a service (AIaaS) industry global market size, regional shares, competitors with a artificial intelligence as a service (AIaaS) market share, detailed artificial intelligence as a service (AIaaS) market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence as a service (AIaaS) industry. This artificial intelligence as a service (AIaaS) 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 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. Artificial Intelligence As A Service (AIaaS) Market Characteristics3. Artificial Intelligence As A Service (AIaaS) Market Trends and Strategies32. Global Artificial Intelligence As A Service (AIaaS) Market Competitive Benchmarking33. Global Artificial Intelligence As A Service (AIaaS) Market Competitive Dashboard34. Key Mergers and Acquisitions in the Artificial Intelligence As A Service (AIaaS) Market
4. Artificial Intelligence As A Service (AIaaS) Market - Macro Economic Scenario
5. Global Artificial Intelligence As A Service (AIaaS) Market Size and Growth
6. Artificial Intelligence As A Service (AIaaS) Market Segmentation
7. Artificial Intelligence As A Service (AIaaS) Market Regional and Country Analysis
8. Asia-Pacific Artificial Intelligence As A Service (AIaaS) Market
9. China Artificial Intelligence As A Service (AIaaS) Market
10. India Artificial Intelligence As A Service (AIaaS) Market
11. Japan Artificial Intelligence As A Service (AIaaS) Market
12. Australia Artificial Intelligence As A Service (AIaaS) Market
13. Indonesia Artificial Intelligence As A Service (AIaaS) Market
14. South Korea Artificial Intelligence As A Service (AIaaS) Market
15. Western Europe Artificial Intelligence As A Service (AIaaS) Market
16. UK Artificial Intelligence As A Service (AIaaS) Market
17. Germany Artificial Intelligence As A Service (AIaaS) Market
18. France Artificial Intelligence As A Service (AIaaS) Market
19. Italy Artificial Intelligence As A Service (AIaaS) Market
20. Spain Artificial Intelligence As A Service (AIaaS) Market
21. Eastern Europe Artificial Intelligence As A Service (AIaaS) Market
22. Russia Artificial Intelligence As A Service (AIaaS) Market
23. North America Artificial Intelligence As A Service (AIaaS) Market
24. USA Artificial Intelligence As A Service (AIaaS) Market
25. Canada Artificial Intelligence As A Service (AIaaS) Market
26. South America Artificial Intelligence As A Service (AIaaS) Market
27. Brazil Artificial Intelligence As A Service (AIaaS) Market
28. Middle East Artificial Intelligence As A Service (AIaaS) Market
29. Africa Artificial Intelligence As A Service (AIaaS) Market
30. Artificial Intelligence As A Service (AIaaS) Market Competitive Landscape and Company Profiles
31. Artificial Intelligence As A Service (AIaaS) Market Other Major and Innovative Companies
35. Artificial Intelligence As A Service (AIaaS) Market Future Outlook and Potential Analysis
36. Appendix
Executive Summary
Artificial Intelligence As A Service (AIaaS) Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on artificial intelligence as a service (aiaas) 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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Description:
Where is the largest and fastest growing market for artificial intelligence as a service (aiaas) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence as a service (aiaas) market global 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 Type: Services; Software Solutions2) By Cloud Type: Public Cloud; Hybrid Cloud; Private Cloud
3) By Technology: Natural Language Processing; Machine Learning; Computer Vision; Deep Learning; Other Technologies.
4) By Enterprise Size: Large Enterprises; Small And Medium Enterprises
5) By Industry: IT And Telecom; Healthcare; Energy And Utility; Manufacturing; Retail; Government; Banking, Financial Services, And Insurance; Other Industries.
Key Companies Mentioned: Apple Inc; Google LLC; Microsoft Corporation; Dell Technologies Inc.; Huawei Technologies Co. Ltd.
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
- Apple Inc
- Google LLC
- Microsoft Corporation
- Dell Technologies Inc.
- Huawei Technologies Co. Ltd.
- Hitachi Ltd.
- Amazon Web Services Inc.
- Siemens AG
- Intel Corporation
- Accenture Plc
- International Business Machines Corporation
- Oracle Corporation
- SAP SE
- Salesforce Inc.
- NVIDIA Corporation
- Fujitsu Ltd.
- Cognizant Technology Solutions Corp.
- ZTE Corporation
- Baidu Inc.
- Infosys Ltd.
- Super Micro Computer Inc
- SAS Institute Inc.
- Arm Limited (SoftBank Group Corp.)
- Fair Isaac Company (FICO)
- DataRobot Inc.
- Cognitivescale Inc.
- Iris.AI
- BigML Inc
- Atomwise Inc.
- craft.AI
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | March 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 14.44 Billion |
Forecasted Market Value ( USD | $ 54.08 Billion |
Compound Annual Growth Rate | 39.1% |
Regions Covered | Global |
No. of Companies Mentioned | 30 |