AI As a Service Statistics By Market Growth And Country
Updated · Oct 11, 2024
Table of Contents
- Introduction
- Editor’s Choice
- Global Spending on AI
- Global Spending on AI-Centric Systems
- AI Market Interest Rate Growth
- AI-Ready Governments Worldwide
- Top AI Countries By Government Strategies
- Top AI Research Capacity Countries
- Machine Learning Market Growth
- Generative AI Market Growth
- Robotic AI Market Growth
- AI Adoption Globally
- AI As a Service Overview
- Conclusion
Introduction
AI As a Service Statistics: Artificial intelligence refers to machine intelligence exhibited by computational devices. Mainly, it deals with aspects and methods that enable the software to understand its surrounding environment adequately. These statistics show rapid growth and widespread adoption across sectors, from global spending patterns to government readiness indices.
As we go forward, we will briefly glance over AI as a service Statistic and learn about the relevant aspects essential to learning how this effective technology functions. Likewise, it will enable us to chart out a future for AI for years to come.
Editor’s Choice
- The banking sector leads industry-specific AI spending with a 13.4% market share.
- Global AI spending in banking reached US$20.64 billion
- The retail sector follows with a 12.8% market share in AI spending
- AI market interest grew from 0.71% in 2015 to 16.63% by 2023
- The USA ranks highest in AI readiness with a score of 84.8
- Saudi Arabia leads in government AI strategy with a perfect score of 100
- The machine learning market size grew from US$59.27B in 2020 to US$158.78B in 2023
- Expected machine learning market size by 2030: US$528.1B
- United States dominates AI research capacity with a maximum score of 100
- China follows the US in research capacity with a score of 54.7
- AIaaS global market expected to reach US$50B by 2030
- Professional services account for 10.4% of AI spending
- Singapore ranks second in AI research capacity with a 48.8 score
- Process manufacturing contributes 7.1% to AI spending
- Global AI-centric systems spending in retail reached US$19.71B
Global Spending on AI
(Reference: statista.com)
- AI As a Service Statistics show that in the following industries, spending is conducted on AI: Professional Services, Process Manufacturing, Retail, Banking, and Discrete Manufacturing.
- Other industries have the highest share of 4Banking, followed by Banking with a 13.4% market share, Retail with a 12.8% market share, Professional Services with a 10.4% market share, Discrete Manufacturing with a 9.5% market share, Process Manufacturing with a 7.1% market share.
Global Spending on AI-Centric Systems
(Reference: statista.com)
- AI as a Service Statistics show that overall spending on AI-centric systems can be categorized into the following categories: Retail, Discrete Manufacturing, Banking, Process Manufacturing, and Professional Services.
- While other sectors have the highest worldwide spending of $71.92 billion for remaining services, here is the respective spending: Banking with $20.64 billion, Retail with $19.71 billion, Professional Services with $16.02 billion, Discrete Manufacturing with $14.63 billion, Process Manufacturing with $10.93 billion.
AI Market Interest Rate Growth
(Reference: statista.com)
- AI As a Service Statistics show that market interest growth has continued.
- In 2015, the interest rate growth was 0.71%, which increased to 16.63% by the end of 2023.
AI-Ready Governments Worldwide
(Reference: statista.com)
- AI As a Service Statistics show that France, Switzerland, Canada, the Republic of Korea, the United Arab Emirates, Malaysia, Portugal, Finland, the United States of America, Japan, Ireland, Singapore, Austria, Netherlands, Norway, Germany, Sweden, Australia, Denmark, Luxembourg, United Kingdom, Taiwan, Estonia, China rank among the top AI ready governments.
- United States ranks among the top AI-ready governments with an AI readiness score of 84.8, followed by Singapore with 81.97 AI readiness score, United Kingdom with 78.57 AI readiness score, Finland with 77.37 AI readiness score, Canada with 77.06 AI readiness score, France with 75.67 AI readiness score, Republic of Korea with 75.47 AI readiness score, Germany with 73.97 AI readiness score, Japan with 72.87 AI readiness score, Netherlands with 72.77 AI readiness score, Denmark with 72.57 AI readiness score, Australia with 72.37 AI readiness score, Norway with 70.97 AI readiness score, Sweden with 70.87 AI readiness score, Austria with 70.47 AI readiness score, China with 69.87 AI readiness score, Estonia with 69.57 AI readiness score, United Arab Emirates with 68.97 AI readiness score, Taiwan with 68.57 AI readiness score, Ireland with 68.46 AI readiness score, Luxembourg with 68.37 AI readiness score, Malaysia with 68.28 AI readiness score, Switzerland with 67.76 AI readiness score, Portugal with 67.56 AI readiness score
Top AI Countries By Government Strategies
(Reference: statista.com)
- AI As a Service Statistics show that Colombia, United States, Japan, Finland, Russia, Singapore, Chile, Saudi Arabia, Australia, Spain, France, Germany, Poland, Estonia, China, Czechia, South Korea, United Kingdom, Canada, Italy are the top countries which are establishing government policies to cater to AI.
- Saudi Arabia has the highest government strategy score of 100, followed by Germany with 93.9 government strategy score, China with 93.5 government strategy score, Canada with 93.4 government strategy score, Spain with 93.4 government strategy score, South Korea with 91.9 government strategy score, Russia with 91.3 government strategy score, United States with 90.3 government strategy score, Italy with 89.8 government strategy score, United Kingdom with 89.2 government strategy score, Poland with 89.1 government strategy score, Colombia with 87.7 government strategy score, France with 87.3 government strategy score, Australia with 83.3 government strategy score, Finland with 82.7 government strategy score, Singapore with 81.8 government strategy score, Czechia with 81.2 government strategy score, Japan with 80.3 government strategy score, Estonia with 78.8 government strategy score, Chile with 76.3 government strategy score.
Top AI Research Capacity Countries
(Reference: statista.com)
- AI As a Service Statistics show that Japan, Germany, Finland, Belgium, South Korea, Singapore, Netherlands, China, United Kingdom, France, Israel, Switzerland, Australia, Canada, Austria, Qatar, Luxembourg, United States, Denmark, Sweden rank among top countries with AI research capacity.
- United States leads with the highest AI research capacity score of 100, followed by China with 54.7 AI research capacity score, Singapore with 48.8 AI research capacity score, Switzerland with 41.3 AI research capacity score, United Kingdom with 38.1 AI research capacity score, Australia with 34.4 AI research capacity score, Canada with 34 AI research capacity score, Germany with 29.3 AI research capacity score, Finland with 27.4 AI research capacity score, Netherlands with 27.1 AI research capacity score, Israel with 24.8 AI research capacity score, South Korea with 24.3 AI research capacity score, Sweden with 22.4 AI research capacity score, Belgium with 21.9 AI research capacity score, France with 21.4 AI research capacity score, Austria with 21.3 AI research capacity score, Qatar with 19.9 AI research capacity score, Denmark with 19.4 AI research capacity score, Luxembourg with 19.4 AI research capacity score, Japan with 18.6 AI research capacity score.
Machine Learning Market Growth
(Reference: statista.com)
- AI As a Service Statistics show that machine learning has grown significantly over time.
- While in 2020, the machine learning market was $59.27 billion, it increased to $158.78 billion by the end of 2023. By the end of 2030, the market size of machine learning will be $528.1 billion.
Generative AI Market Growth
(Reference: statista.com)
- AI As a Service Statistics show that the generative AI market has grown consistently.
- In 2020, the generative AI market was $5.67 billion, which increased to $44.89 billion.
- By the end of 2030, the generative AI market is expected to be $206.95 billion.
Robotic AI Market Growth
(Reference: statista.com)
- AI As a Service Statistics show significant growth in the AI robot market.
- In 2020, the AI robot market was $4.83 billion, which increased to $15.04 billion by the end of 2023.
- By the end of 2030, the global AI robot market is expected to be $36.78 billion.
AI Adoption Globally
(Source: statista.com)
- AI As a Service Statistics show that the tech/Telecom industry places the highest emphasis on risk management (38%).
- Consumer Goods/Retail (31%) and Financial Services (24%) strongly emphasize service operations.
AI As a Service Overview
- AI as a Service is increasing quickly, and companies are spending a lot on it. In 2023, the global market for AIaaS was worth about 6 billion US dollars. By 2030, this number is expected to reach 50 billion US dollars, showing a compound annual growth rate (CAGR) of nearly 35%. Most of this spending is happening in industries like healthcare, finance, and refuse, which use AI to make their services faster and more efficient.
- The United States is the biggest market for AIaaS, making up over 40% of the global market. Companies like IBM, Microsoft, and Amazon are leaders in providing AI services to businesses of all sizes. However, Asia-Pacific and Europe are quickly catching up, with countries like China and Germany increasing their investments in AI technology.
- Regarding houses using AIaaS, machine learning is the most popular, followed by natural language processing (NLP) and computer vision. These technologies help businesses analyze large amounts of data, understand customer behavior, and improve company decision-making. Businesses find AIaaS cost-effective because they don’t have to build their own AI systems from scratch and can instead pay for services as they need them.
- However, there are still challenges in the AIaaS market. Data privacy and security concerns remain top issues for many companies, especially in industries dealing with sensitive information like banking and healthcare. Despite these challenges, the future of AI as a Service looks promising as more companies turn to AI to stay competitive and improve their operations.
- By 2030, AIaaS is expected to become a multi-billion US dollar industry globally, with widespread use across different sectors, thanks to advancements in cloud computing and big data analytics.
- AI as a Service (AIaaS) is a rapidly growing sector in the technology world, with businesses across various industries increasingly adopting it to streamline operations, improve efficiency, and cut costs. AIaaS allows companies to access powerful artificial intelligence tools and capabilities, such as machine learning algorithms, data analytics, and natural language processing, through cloud-based platforms to invest heavily in building and maintaining their AI infrastructure. This particularly appeals to small and medium-sized enterprises (SMEs) that may need more resources or expertise-house AI solutions in-house.
- In 2023, the global market for AI as a Service was estimated to be worth billions of US dollars, and this number is expected to rise steadily in the coming years. An increasing demand for AI-powered solutions across healthcare, retail, manufacturing, and finance drives rapid growth. Leverage leveraging AIaaS to improve customer service through chatbots, automate routine tasks, enhance predictive analytics, and optimize supply chains. As AI becomes more accessible, businesses of all sizes can benefit from hiring teams of specialized data scientists or investing millions of US dollars in hardware. A critical aspect of AIaaS is its scalability. Companies only pay for the services they need, which allows for flexible use depending on the size and scope of the project. For example, a retail business might use AIaaS to analyze customer data and improve marketing. At the same time, it gives while a healthcare provider may rely on it to enhance diagnostic tools or patient care. With companies like Google, Amazon, IBM, and Microsoft leading the way in offering AIaaS solutions, businesses are finding it easier than ever to implement AI technologies at a fraction of the cost.
- In summary, AIaaS revolves around how businesses operate, making advanced artificial intelligence capabilities accessible to a broader range of companies for a relatively low cost in US dollars. AIaaS will likely become an even more integral part of the global business landscape as AI evolves.
Conclusion
The AI as a Service landscape is experiencing remarkable growth and transformation across various sectors. AI As a Service Statistics reveal a clear trend of increasing adoption and investment in AI technologies, with global spending reaching significant milestones across industries like banking ($20.64 billion), retail ($19.71 billion), and professional services ($16.02 billion).
As we look ahead, the AIaaS market is poised for substantial growth, with projections reaching $50 billion by 2030. The increasing accessibility of AI technologies, cloud computing advancements, and the rising demand for cost-effective, scalable AI solutions across industries drive this growth.
Sources
FAQ.
AIaaS is a cloud-based service model that provides AI capabilities to businesses without requiring them to build their infrastructure.
Banking leads industry-specific AI spending with a 13.4% market share.
As of 2023, the global market for AIaaS was worth approximately 6 billion US dollars.
The Unihas leads with the highest AI research capacity score of 100.
The AIaaS market is expected to grow at a CAGR of approximately 35% until 2030.
The United States is the largest market for AIaaS, comprising over 40% of the global market.
Data privacy and security concerns are the primary challenges, especially in sensitive industries like banking and healthcare
Machine learning, natural language processing (NLP), and computer vision are the most widely used AIaaS applications
Maitrayee Dey has a background in Electrical Engineering and has worked in various technical roles before transitioning to writing. Specializing in technology and Artificial Intelligence, she has served as an Academic Research Analyst and Freelance Writer, particularly focusing on education and healthcare in Australia. Maitrayee's lifelong passions for writing and painting led her to pursue a full-time writing career. She is also the creator of a cooking YouTube channel, where she shares her culinary adventures. At Smartphone Thoughts, Maitrayee brings her expertise in technology to provide in-depth smartphone reviews and app-related statistics, making complex topics easy to understand for all readers.