Artificial Intelligence as a Service Market: Global Product Categories Analysis and Forecast (2023 -2029)

Artificial Intelligence as a Service Market size was valued at USD 7.1 Bn. in 2022 and the total AI as a Service revenue is expected to grow by 40.3 % from 2023 to 2029, reaching nearly USD 75.97 Bn.

Artificial Intelligence as a Service Market Overview:

Artificial Intelligence(AI) as a Service (AIaaS) is a third force that is offered by Artificial Intelligence(AI). It allows individuals and companies to experiment with AI for numerous resolutions without a big initial investment and with lesser risk. AIaaS Provides various public cloud platforms, machine learning algorithms, and services which are easy to set up and simple to test. Machine Learning services in the form of application programming interface(API) and software development kits (SDK) are rising its demand and are likely to boost Artificial Intelligence as a Service (AIaaS). Software firms, consultants, professional service firms, and retailers offer the services of large-scale AI solutions. Key players like IBM, Microsoft, and others top players are executing AI services as an important part of the technologies.Artificial Intelligence as a Service MarketTo know about the Research Methodology :- Request Free Sample Report

Drivers

Increasing demand for AI capabilities drives market The demand for AI technologies and competencies across various industries is growing rapidly. AI has the potential to reform the operations of businesses and improve decision-making, innovation and increase customer experience. The data-driven decision-making in business is growing fastly, and AIaaS plays an important role in this zone. Manipulating Machine Learning algorithms, solutions of AIaaS can identify the patterns in data that are not identified manually. For more faster and conversant decisions enabling deployment is idle. The major verticals like finance, manufacturing, and healthcare are using these resolutions. AIaaS solutions mechanize routine tasks, freeing up deployments just to focus on strategic planning and analysis. This operation leads to increased productivity, reduced costs, and developed operational efficiency. In this way, AIaaS helps to improve decisions and stay forward in the competition of a data-driven business atmosphere. Restraints Security Concerns and Dependence on third-party The major concern of organizations is the lack of analytic talent while integrating Machine Learning into the business process. There are not sufficient skillful people to develop and execute analytics projects where techniques like Machine Learning are used. Organizations need to share the data with AIaaS vendors which reduces security, and transparency, and have to depend on third parties. As companies have massive expectations from AI. The advancement in AI is not inadequate as per expectations which can create problems for businesses. AI as a Service software is not bug-free software and it requires a lot of effort to implement successfully. This factor can affect the Artificial Intelligence as a Service Market. Artificial Intelligence as a Service Market Opportunity Advancements in AI widened the organization size of AIaaS Developments and improvements in Artificial Intelligence in recent years are advancing. The creation of AI organization sizes is expensive, and the developers or programmers who need to create Artificial Intelligence algorithms are not easy to find. AI uses past data which helps for future predictions, but not all organizations created data in the past. Hence, in such cases, AIaaS comes to play because it‘s economical, remaining to digitalization, IoT, and advancement in technologies, the amount of data generated in the past is increased, smartphones and connected devices are linked to the internet and are considered some factors to generate a new amount of data. Generated data through these devices is growing at a faster pace. The data is becoming so crucial in articulating various business strategies that, the end-user is more concentrated on the process of data analysis. Hence, these organization sizes are anticipated to grow in the upcoming years in Artificial Intelligence as a Service Market.

Artificial Intelligence as a Service Market Segment Analysis:

Based on Technology, The machine-learning has led this segment in Artificial Intelligence as a Service Market in the year 2022 and is expected to increase during the forecast period. Machine learning has sub-categories like Supervised Machine Learning, Unsupervised Machine Learning, and Reinforcement Machine Learning. Machine Learning algorithms, frameworks, and methodologies are used to find the solutions to crack complex problems faster. Regressions, Classification, and Clustering are used for developing computer systems that access the data. The natural language processing segment is anticipated to grow faster during the forecast as this technology is used for sentiment analysis, to analyze user actions, which provides an important experience to the customers. Natural Language Processing does programs that translate text from one language to another language for better understanding, responding to spoken commands, and summarizing large volumes of text fastly.Artificial Intelligence as a Service Market Based on Industry, The BFSI (Banking, Finance Services, and Insurance) segment led the market in the year 2022 and is expected to grow in the forecast period. The various growth prospects are developed by AI as a Service which benefitted the BFSI sector. AI in the BFSI sector is employed for Credit card fraud detection or any fraud detection, chatbots, algorithm trading, and client suggestion also the real-time activity is assessed by AI in finance. The retail segment is significantly contributing to the growth of the Artificial Intelligence as a Service Market. Industries such as telecommunications, healthcare, manufacturing, defense, energy, robotics, and others, are expected to grow. AI helps to increase the need for real-time data, dropping infrastructure costs, quickening time to market, and improving business process time. Artificial Intelligence as a Service Market

Artificial Intelligence as a Service Market Regional Insights:

North America dominated the Artificial Intelligence as a Service Market and is expected to dominate during the forecast period. The presence of large enterprises and IT infrastructure helped to rule the North American region. The development and growth of AI as AIaaS is majorly contributed by the North American region as countries like the U.S., Canada, and Mexico are already developing and continuing to do innovations in AI. Asia Pacific region is anticipated a fast-growing sector in the market due to the acceptance of AI websites, smartphones, and usage of social media. Countries like China And India are advancing digitization in the market for the development of AI. As a result, Artificial Intelligence as a Service Market is increasing its demand.

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Global Artificial Intelligence as a Service Market
Report Coverage Details
Base Year: 2022 Forecast Period: 2023-2029
Historical Data: 2018 to 2022 Market Size in 2022: US $ 7.1 Bn.
Forecast Period 2023 to 2029 CAGR: 40.3% Market Size in 2029: US $ 75.97 Bn.
Segments Covered: by Technology Deep Learning Machine Learning Computer Vision Natural Language Processing(NLP)
by Industry BFSI Retail Manufacturing Healthcare Energy Marketing Robotics Public Sector Others
by Organization Size Small & Medium Enterprise Large Enterprise
by Deployment Public Private Community Hybrid

Artificial Intelligence as a Service Market by Region

North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (Brazil, Argentina Rest of South America)

Artificial Intelligence as a Service Market Key Players

1. IBM 2. Microsoft 3. Google 4. AWS 5. Baidu 6. SAS Institute 7. Siemens 8. SAP SE 9. Intel Corporation 10. Fair Isaac Corporation (FICO) 11. Salesforce, Inc. 12. BigML, Inc. 13. Oracle 14. Iris.AI 15. Craft.AI 16. Fuzzy.ai 17. RainBird Technologies 18. DataBricks 19. CenturySoft 20. DataRobot 21. Alibaba 22. Tencent 23. Dataiku 24. Yottamine Analytics 25. Cloudera 26. Meya.ai

Frequently Asked Questions:

1] What segments are covered in the Global Artificial Intelligence as a Service Market report? Ans. The segments covered in the Artificial Intelligence as a Service Market report are based on Technology, Industry, Organization Size, Deployment, and Regions. 2] Which region is expected to hold the highest share of the Global Artificial Intelligence as a Service Market? Ans. The North American region is expected to hold the highest share of the Artificial Intelligence as a Service Market. 3] What is the market size of the Global Artificial Intelligence as a Service Market by 2029? Ans. The market size of the Artificial Intelligence as a Service Market by 2029 is expected to reach US$ 75.97 Bn. 4] What is the forecast period for the Global Artificial Intelligence as a Service Market? Ans. The forecast period for the Artificial Intelligence as a Service Market is 2023-2029. 5] What was the market size of the Global NLP in the Education Market in 2022? Ans. The market size of the Artificial Intelligence as a Service Market in 2022 was valued at US$ 7.1 Bn.
1. Artificial Intelligence as a Service Market: Research Methodology 2. Artificial Intelligence as a Service Market: Executive Summary 3. Artificial Intelligence as a Service Market: Competitive Landscape 3.1. MMR Competition Matrix 3.2. Competitive Landscape 3.3. Key Players Benchmarking 3.4. Market Structure 3.4.1. Market Leaders 3.4.2. Market Followers 3.4.3. Emerging Players 3.5. Consolidation of the Market 4. Artificial Intelligence as a Service Market: Dynamics 4.1. Market Trends by Region 4.1.1. North America 4.1.2. Europe 4.1.3. Asia Pacific 4.1.4. Middle East and Africa 4.1.5. South America 4.2. Market Drivers by Region 4.2.1. North America 4.2.2. Europe 4.2.3. Asia Pacific 4.2.4. Middle East and Africa 4.2.5. South America 4.3. Market Restraints 4.4. Market Opportunities 4.5. Market Challenges 4.6. PORTER’s Five Forces Analysis 4.7. PESTLE Analysis 4.8. Value Chain Analysis 4.9. Regulatory Landscape by Region 4.9.1. North America 4.9.2. Europe 4.9.3. Asia Pacific 4.9.4. Middle East and Africa 4.9.5. South America 5. Artificial Intelligence as a Service Market Size and Forecast by Segments (by Value USD) 5.1. Artificial Intelligence as a Service Market Size and Forecast, by Technology (2022-2029) 5.1.1. Deep Learning 5.1.2. Machine Learning 5.1.3. Computer Vision 5.1.4. Natural Language Processing(NLP) 5.2. Artificial Intelligence as a Service Market Size and Forecast, by Industry (2022-2029) 5.2.1. BFSI 5.2.2. Retail 5.2.3. Manufacturing 5.2.4. Healthcare 5.2.5. Energy 5.2.6. Marketing 5.2.7. Robotics 5.2.8. Public Sector 5.2.9. Others 5.3. Artificial Intelligence as a Service Market Size and Forecast, by Organization Size (2022-2029) 5.3.1. Small & Medium Enterprise 5.3.2. Large Enterprise 5.4. Artificial Intelligence as a Service Market Size and Forecast, by Deployment(2022-2029) 5.4.1. Public 5.4.2. Private 5.4.3. Community 5.4.4. Hybrid 5.5. Artificial Intelligence as a Service Market Size and Forecast, by Region (2022-2029) 5.5.1. North America 5.5.2. Europe 5.5.3. Asia Pacific 5.5.4. Middle East and Africa 5.5.5. South America 6. North America Artificial Intelligence as a Service Market Size and Forecast (by Value USD) 6.1. North America Artificial Intelligence as a Service Market Size and Forecast, by Technology (2022-2029) 6.1.1. Deep Learning 6.1.2. Machine Learning 6.1.3. Computer Vision 6.1.4. Natural Language Processing(NLP) 6.2. North America Artificial Intelligence as a Service Market Size and Forecast, by Industry (2022-2029) 6.2.1. BFSI 6.2.2. Retail 6.2.3. Manufacturing 6.2.4. Healthcare 6.2.5. Energy 6.2.6. Marketing 6.2.7. Robotics 6.2.8. Public Sector 6.2.9. Others 6.3. North America Artificial Intelligence as a Service Market Size and Forecast, by Organization Size (2022-2029) 6.3.1. Small & Medium Enterprise 6.3.2. Large Enterprise 6.4. North America Artificial Intelligence as a Service Market Size and Forecast, by Deployment (2022-2029) 6.4.1. Public 6.4.2. Private 6.4.3. Community 6.4.4. Hybrid 6.5. North America Artificial Intelligence as a Service Market Size and Forecast, by Country (2022-2029) 6.5.1. United States 6.5.2. Canada 6.5.3. Mexico 7. Europe Artificial Intelligence as a Service Market Size and Forecast (by Value USD) 7.1. Europe Artificial Intelligence as a Service Market Size and Forecast, by Technology (2022-2029) 7.1.1. Deep Learning 7.1.2. Machine Learning 7.1.3. Computer Vision 7.1.4. Natural Language Processing(NLP) 7.2. Europe Artificial Intelligence as a Service Market Size and Forecast, by Industry (2022-2029) 7.2.1. BFSI 7.2.2. Retail 7.2.3. Manufacturing 7.2.4. Healthcare 7.2.5. Energy 7.2.6. Marketing 7.2.7. Robotics 7.2.8. Public Sector 7.2.9. Others 7.3. Europe Artificial Intelligence as a Service Market Size and Forecast, by Organization Size (2022-2029) 7.3.1. Small & Medium Enterprise 7.3.2. Large Enterprise 7.4. Europe Artificial Intelligence as a Service Market Size and Forecast, by Deployment (2022-2029) 7.4.1. Public 7.4.2. Private 7.4.3. Community 7.4.4. Hybrid 7.5. Europe Artificial Intelligence as a Service Market Size and Forecast, by Country (2022-2029) 7.5.1. UK 7.5.2. France 7.5.3. Germany 7.5.4. Italy 7.5.5. Spain 7.5.6. Sweden 7.5.7. Austria 7.5.8. Rest of Europe 8. Asia Pacific Artificial Intelligence as a Service Market Size and Forecast (by Value USD) 8.1. Asia Pacific Artificial Intelligence as a Service Market Size and Forecast, by Technology (2022-2029) 8.1.1. Deep Learning 8.1.2. Machine Learning 8.1.3. Computer Vision 8.1.4. Natural Language Processing(NLP) 8.2. Asia Pacific Artificial Intelligence as a Service Market Size and Forecast, by Industry (2022-2029) 8.2.1. BFSI 8.2.2. Retail 8.2.3. Manufacturing 8.2.4. Healthcare 8.2.5. Energy 8.2.6. Marketing 8.2.7. Robotics 8.2.8. Public Sector 8.2.9. Others 8.3. Asia Pacific Artificial Intelligence as a Service Market Size and Forecast, by Organization Size (2022-2029) 8.3.1. Small & Medium Enterprise 8.3.2. Large Enterprise 8.4. Asia Pacific Artificial Intelligence as a Service Market Size and Forecast, by Deployment(2022-2029) 8.4.1. Public 8.4.2. Private 8.4.3. Community 8.4.4. Hybrid 8.5. Asia Pacific Artificial Intelligence as a Service Market Size and Forecast, by Country (2022-2029) 8.5.1. China 8.5.2. S Korea 8.5.3. Japan 8.5.4. India 8.5.5. Australia 8.5.6. Indonesia 8.5.7. Malaysia 8.5.8. Vietnam 8.5.9. Taiwan 8.5.10. Bangladesh 8.5.11. Pakistan 8.5.12. Rest of Asia Pacific 9. Middle East and Africa Artificial Intelligence as a Service Market Size and Forecast (by Value USD) 9.1. Middle East and Africa Artificial Intelligence as a Service Market Size and Forecast, by Technology (2022-2029) 9.1.1. Deep Learning 9.1.2. Machine Learning 9.1.3. Computer Vision 9.1.4. Natural Language Processing(NLP) 9.2. Middle East and Africa Artificial Intelligence as a Service Market Size and Forecast, by Industry (2022-2029) 9.2.1. BFSI 9.2.2. Retail 9.2.3. Manufacturing 9.2.4. Healthcare 9.2.5. Energy 9.2.6. Marketing 9.2.7. Robotics 9.2.8. Public Sector 9.2.9. Others 9.3. Middle East and Africa Artificial Intelligence as a Service Market Size and Forecast, by Organization Size (2022-2029) 9.3.1. Small & Medium Enterprise 9.3.2. Large Enterprise 9.4. Middle East and Africa Artificial Intelligence as a Service Market Size and Forecast, by Deployment (2022-2029) 9.4.1. Public 9.4.2. Private 9.4.3. Community 9.4.4. Hybrid 9.5. Middle East and Africa Artificial Intelligence as a Service Market Size and Forecast, by Country (2022-2029) 9.5.1. South Africa 9.5.2. GCC 9.5.3. Egypt 9.5.4. Nigeria 9.5.5. Rest of ME&A 10. South America Artificial Intelligence as a Service Market Size and Forecast (by Value USD) 10.1. South America Artificial Intelligence as a Service Market Size and Forecast, by Technology (2022-2029) 10.1.1. Deep Learning 10.1.2. Machine Learning 10.1.3. Computer Vision 10.1.4. Natural Language Processing(NLP) 10.2. South America Artificial Intelligence as a Service Market Size and Forecast, by Industry (2022-2029) 10.2.1. BFSI 10.2.2. Retail 10.2.3. Manufacturing 10.2.4. Healthcare 10.2.5. Energy 10.2.6. Marketing 10.2.7. Robotics 10.2.8. Public Sector 10.2.9. Others 10.3. South America Artificial Intelligence as a Service Market Size and Forecast, by Organization Size (2022-2029) 10.3.1. Small & Medium Enterprise 10.3.2. Large Enterprise 10.4. South America Artificial Intelligence as a Service Market Size and Forecast, by Deployment (2022-2029) 10.4.1. Academic User 10.4.2. Ed-tech Providers 10.5. South America Artificial Intelligence as a Service Market Size and Forecast, by Country (2022-2029) 10.5.1. Brazil 10.5.2. Argentina 10.5.3. Rest of South America 11. Company Profile: Key players 11.1. IBM 11.1.1. Company Overview 11.1.2. Financial Overview 11.1.3. Business Portfolio 11.1.4. SWOT Analysis 11.1.5. Business Strategy 11.1.6. Recent Developments 11.2. Microsoft 11.3. Google 11.4. AWS 11.5. Baidu 11.6. SAS Institute 11.7. Siemens 11.8. SAP SE 11.9. Intel Corporation 11.10. Fair Isaac Corporation (FICO) 11.11. Salesforce, Inc. 11.12. BigML, Inc. 11.13. Oracle 11.14. Iris.AI 11.15. Craft.AI 11.16. Fuzzy.ai 11.17. RainBird Technologies 11.18. DataBricks 11.19. CenturySoft 11.20. DataRobot 11.21. Alibaba 11.22. Tencent 11.23. Dataiku 11.24. Yottamine Analytics 11.25. Cloudera 11.26. Meya.ai 12. Key Findings 13. Industry Recommendation
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