Global Artificial Intelligence (AI) as a Service Market, By Cloud (Public, Private, Hybrid), Technology (Machine Learning (ML) and Deep Learning, Natural Language Processing (NLP)), Service Type (Software Tools, Services), Organization Size (Small and Medium Enterprise, Large Enterprise), End User (BFSI, Retail, Healthcare, IT and Telecommunication, Manufacturing, Energy), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028
Market Analysis and Insights : Global Artificial Intelligence (AI) as a Service Market
Data Bridge Market Research analyses that the artificial intelligence (AI) as a service market will exhibit a CAGR of 36.72% for the forecast period of 2021-2028 and is expected to reach the market value of USD 71,588.57 million by 2028.
Artificial intelligence (AI) as a service accounts as a third-party offering to subcontract artificial intelligence. It lets companies or the end users to experiment with AI across numerous purposes by limiting the initial investment and with lower risk.
The high adoption of cloud-based applications and services and big data is the major factor accelerating the growth of the artificial intelligence (AI) as a service market. Furthermore, the new developments in technology, high demand for AI-Powered services in the form of Api and Sdk, rise in the number of innovative startups and high investment in industrial automation are also expected to drive the growth of the artificial intelligence (AI) as a service market. However, the lack of skilled employees and dearth of skilled and experienced staff restrains the artificial intelligence (AI) as a service market, whereas, the sensitivity involved with security of data will challenge artificial intelligence (AI) as a service market growth.
In addition, increasing need for intelligent business applications and the high demand for AI service integrators will create ample opportunities for the artificial intelligence (AI) as a service market.
This artificial intelligence (AI) as a service market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on artificial intelligence (AI) as a service market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Artificial Intelligence (AI) as a Service Market Scope and Market Size
The artificial intelligence (AI) as a service market is segmented on the basis of cloud, technology, service type, organization size and end user. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- On the basis of cloud, the artificial intelligence (AI) as a service market is segmented into public, private and hybrid.
- Based on technology, the artificial intelligence (AI) as a service market is segmented into machine learning (ML) and deep learning, and natural language processing (NLP).
- On the basis of service type, the artificial intelligence (AI) as a service market is segmented into software tools and services. Software tools are further segmented into data storage and archiving, modeler and processing, cloud and web-based application programming interface (APIs) and others. Others are further sub-segmented into model validator, decision report/predictor/training, and report storage. Services are further segmented into professional services and managed services.
- On the basis of organisation size, the artificial intelligence (AI) as a service market is segmented into small and medium enterprise, large enterprise.
- On the basis of end user, the artificial intelligence (AI) as a service market is segmented into BFSI, retail, healthcare, IT and telecommunication, manufacturing, and energy.
Artificial Intelligence (AI) as a Service Market Country Level Analysis
The artificial intelligence (AI) as a service market is analysed and market size, volume information is provided by country, cloud, technology, service type, organization size and end user as referenced above.
The countries covered in the artificial intelligence (AI) as a service market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America dominates the artificial intelligence (AI) as a service market owing to the favorable government initiatives to encourage the adoption of artificial intelligence (AI) across various industries. Asia-Pacific, on the other hand, is expected to show a lucrative growth due to increasing adoption of NLP technologies, growing e-commerce, increasing internet penetration and online streaming have resulted in the growth of marketing industries.
The country section of the artificial intelligence (AI) as a service market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Artificial Intelligence (AI) as a Service Market Share Analysis
The artificial intelligence (AI) as a service market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points are only related to the companies’ focus on the artificial intelligence (AI) as a service market.
The major players operating in the artificial intelligence (AI) as a service market report are Advanced Micro Devices, Inc., Aicure, LLC, Arm, Ltd., Atomwise, Inc., AYASDI AI LLC, Baidu Inc., ClariFI, Inc., Cyrcadia Health, Enlitic, Inc., H2O.ai, Google LLC, Hyperverge Inc., IBM, Intel Corporation, IRIS AI AS, Lifegraph Ltd., Microsoft, Nividia Corporation, Sensley Inc., and Zebra Medical Vision, Inc., among others.
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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