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The way the market of AIaaS develops is greatly impacted by factors like the resources available for computing, expense, and security concerns. As technology is advancing, there is an increasing demand for individuals who possess knowledge and skills related to artificial intelligence (AI) in various domains. The incorporation of AI in businesses is turning out to be beneficial, hence the need for more scalable and accessible AI solutions that can cater to their requirements.
Expansion of AIaaS is driven by this need. Companies want cloud-based AI solutions that maximize machine learning and data analytics. But they don't want to break bank at the initial cost. Furthermore, changes in AI technology affect the market significantly. With the advancement of AI technology, providers of AIaaS have to continuously innovate to stay ahead of the game. It is really important for companies to offer the latest technology in AI like natural language processing and computer vision to remain competitive. In order to remain competitive, companies seek out technology providers that can offer ongoing advanced solutions.
Interoperability is also a vital element of the growth in the AIaaS market. Different companies use multiple computer programs and information sets in order to function well and run productively. Providers of AIaaS that prioritize interoperability and allow easy integration with existing systems and applications are more accepted. But businesses have to ensure that the chosen AI model is compatible with their existing train. Because of cost savings, the implementation of AIaaS takes place. There are advantages to using AI, but businesses recognize the expenses linked to creating and putting AI into action.
AIaaS helps businesses save money as they can use AI services without investing in expensive devices, software, and human resources trained for it. In my opinion, AIaaS is an excellent choice for any organization due to its affordability. The AIaaS provides affordable solutions to startups and large enterprises and so it is an attractive option for all. This has allowed the market to continue to expand and security is really super important when using AI as-a-service.
Covered Aspects:
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AI as a Service Market Highlights:
Artificial Intelligence as a Service Market Overview
Artificial Intelligence (AI) as a Service Market was valued in the range of USD 12 Billion in 2017 and is estimated to reach market value of USD 43.29 Billion by 2030 growing with 25.8% CAGR during forecast period 2024-2030. Continuous advancements in the field of artificial intelligence accounts for increasing investments into R&D by major players and increasing the growth of artificial intelligence.
Artificial Intelligence as a Service Market Covid 19 Analysis
Due to the current situation of coronavirus the small, medium, and large businesses are affected. Due to the complete shutdown manufacturing units were drastically affected by Artificial intelligence as a service market. Lack of workers and government policies dragged the market down during the year 2020. Things are expected to get back to normal by next year, and that’s when the market will start flourishing like before.
Figure 1: AI as a Service Market Size, 2021-2030 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database, and Analyst Review
AI as a Service Market Dynamics
Drivers:
The factors that have majorly contributed to artificial intelligence as a service industry are the continuous advancements that are made in the field of artificial intelligence in today's time, increasing investments into R&D by all the major key players.
Opportunities:
Some of the factors that act as opportunities include the popularity among enterprises across industries, availability of a good number of vendors that are offering artificial intelligence as a service at affordable prices. The sales of Artificial intelligence as a service market boosted the adoption of the services and also boosted the growth of artificial intelligence as a market industry. These are some of the factors that boost the opportunities of artificial intelligence as a service market. Also, the availability of a good number of vendors offering Artificial Intelligence as a Service at affordable prices is the best adoption of these services, thus boosting the growth of this market.
Restraints:
The factors that hinder the growth of artificial intelligence as a service industry include the high initial cost that is associated with the adoption of artificial intelligence. The overall regulatory framework of artificial intelligence as a service market is exhausting as well as costly when covered to offer stakeholders a better understanding.
Value Chain Analysis
There are various benefits of artificial intelligence. Some of the factors include complete reliability over robots, cost-free human labor, highly knowledgeable robots, emotion sensors, and child care robots, etc. In addition to this, increasing its popularity among enterprises across the industry is the value for benefit. However, high initial costs required for adapting artificial intelligence had, for a long, been hindering its adoption among enterprises with low budgets.
Market Segmentation
Artificial intelligence as a service market is segmented based on type, based on enterprise size, based on and user industry, based on Technology, based on organization size, and based on geography.
Based on the Type
The artificial intelligence as a service market is divided based on type into bots and digital assistance, cognitive computing APIs, machine learning frameworks, and fully managed machine learning services.
Based on the Enterprise:
Based on enterprise the global artificial intelligence service market is divided into small, medium, and large.
Based on the End-User:
The global artificial intelligence market is classified based on the end-user into BFSI, retail, communication and technology, healthcare, manufacturing, and others.
Based on the Geography:
Based on the region/geography, the artificial intelligence service market has been segmented into North America, South America, Europe, the Middle East and Africa, and the Asia Pacific.
Based on the Technology:
Based on Technology, the Global artificial intelligence as a service market is classified into machine learning, computer vision, natural language processing, and others.
Based on the Organization Size:
Based on the organization size the artificial intelligence as a service market is divided into small, medium, and large enterprises.
Artificial Intelligence as a Service Market Regional Analysis
The artificial intelligence service market has been segmented into various regions including- South America, Europe, the Middle East and Africa, and the Asia Pacific.
North America is the leading market of artificial intelligence as a service market which is followed by other regions such as Europe and the Asia Pacific. North America due to its early adoption of advanced technologies such as artificial intelligence has developed and contributed to the largest artificial intelligence as a service market share. Other factors for its large artificial intelligence as a service market size include advanced infrastructure, developed network technologies, and high technical skills.
The Asia Pacific is projected to grow with the highest cagr during the forecasted period. The countries of China, Japan, and South Korea are the leading innovators in artificial intelligence in the region. The countries of China and South Korea heavily invest in developing automation technologies for industries which is one of the prime factors that drive the growth and adoption of artificial intelligence in these countries.
Competitive Landscape:
The prominent key players of the Artificial intelligence as a service market in the global market are mentioned down below-
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Alphabet INC (Google inc.)
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Apple Inc
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Amazon
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Cognitivescale, Inc.
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Microsoft corporation
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Intel, Inc.
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Salesforce, Inc.
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Fair Isaac corporation
All these prominent key players play a major road in the dynamics and growth of Artificial intelligence as a service market. These major key players opt for many strategies and policies to widen their customer base. These policies and strategies mainly include collaborations, mergers, acquisitions, extensions, joint ventures, establishments, new production processes, innovations, technology widening the existing products, partnerships, etc. All these important methods are opted to get the needs of customers and develop a strong potential growth base.
Recent Developments
February 14, 2024: IBM announced a new suite of AIaaS offerings focused on automation. This includes tools for streamlining workflows, improving decision-making, and enhancing customer experiences. This highlights the growing trend of AI being used for practical business applications.
January 25, 2024: The World Economic Forum published a report on the responsible use of AI in business. This report emphasizes the importance of ethical considerations and transparency in developing and deploying AIaaS solutions.
Google released a free artificial intelligence program on Thursday, February 20, 2024, allowing individuals to rely on technology rather than their own minds to write, comprehend what they read, and handle a range of other tasks in their life. Google is planning to replace the Bard chatbot it introduced a year ago with ChatGPT, the chatbot released by Microsoft-backed startup OpenAI in late 2022. The Gemini app is called after an AI project that was unveiled late last year. Google is launching the standalone Gemini app for Android-powered smartphones right now.
By 2023, Capgemini has observed an increase in client demand and focus on generative AI in recent months. In light of this, the Group is introducing a generative AI portfolio of services today that includes everything from strategy formulation to the actual creation and large-scale use of generative AI.
Given below are some developments seen in the Artificial Intelligence as a Service market in recent times-
Digital installations are made for different purposes for initial installation that involve low risk.
Developments are made in such a way that it enables people and organizations to explore different avenues for different purposes.
Innovation in such a way made services provide a full suite to support a large scale AI solution such as smart vendors, software firms, consultants, or professional service firms, offering or partnering with firms that can offer set services.
Developments by companies such as Google, IBM, Microsoft, and many other key players have actively implemented artificial intelligence services as an important part of their technologies.
Developments are made to expand teachers on the adoption of artificial intelligence and technological advancements so that workflow optimization can increase the demand for all the advanced systems in the market.
Report Overview
The global Artificial intelligence as a service market in the global market research report consists of the following elements which are mentioned down below-
- Market overview
- Covid 19 analysis
- Market dynamics
- Value chain analysis
- Market segmentation
- Regional analysis
- Competitive landscape
- Recent developments
- Intended audience
In the global Artificial intelligence as a service market research report, there are major factors that drive the growth of the market. The report consists of opportunities that may further in the future and hands the global market of Artificial intelligence as a service. Various factors restrain the growth of sugar-free confectioneries and hamper the development of such a fine-based market. The research report also consists of various analyses based on Covid 19 impact market dynamics, different segmentations, regional analysis, etc. This research report also consists of various strategies and policies followed by the major key players that drive the Artificial intelligence as a service market. The future growth rate is also discussed and mentioned in this research report.
Intended Audience
Given below is the intended audience for the AIaaS market-
- Technology, service, and solution providers
- Information Technology management
- Government
- Research Institutes
- Consultants/advisory firms
- AI system integrators
- Managed Service Providers (MSPs)
- Value-Added Resellers (VARs)
- Strategic business partners
Consultants/advisory Firms
- AI system integrators
- Managed Service Providers (MSPs)
- Value-Added Resellers (VARs)
- Strategic business partners
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