Artificial
Intelligence refers to the imitation of intelligent behavior in computers.
Artificial Intelligence as a Service (AIaaS) is delivered by a third party to
an organization. AIaaS provides a wide range of accessible AI tools and
services for an organization via the cloud platform for integrating automated
speech, vision and language understanding abilities. These intelligent services
offer an opportunity for an organization to optimize the data and thus identify
new methods. AIaaS doesn’t need the requirement to understand how they work and
thereby enables for its usage even with the least experience in artificial
intelligence. The most prominent driver is the rising cloud computing market.
The cloud technology can offer additional support with the needed information
for the learning processes to the AI, while AI can assist cloud by offering
information which can provide more data. AI has the ability to streamline the enormous
capacities of the cloud. It equips cloud technology with immense powers. It allows
the machines to react, act, think and learn like human beings do. AI assists various
machines in learning and analyzing the past data, making decisions and recognizing
the patterns. Such a process assists in reducing the chances of human errors. Thus,
AI improves the process of decision making of several organizations. From the aforementioned
factors observed that the cloud computing and artificial intelligence are
complementing each other’s strengths. Since, the increase in adoption of cloud
computing technology coupled with the usage of social media platforms has been propelling
the growth of the Artificial Intelligence as a Service (AIaaS) market. Moreover,
the huge demand for predictive and smart automation
in business processes to increase service and product portfolio in several
organizations across the world is projected to positively impact the growth of
artificial intelligence as a service market in the coming years. Also the increase
in adoption of artificial intelligence technology in several IoT devices
by electronic manufactures such as virtual agents, natural language
generation, speech recognition and machine learning platform is also projected
to enhance the growth of the artificial intelligence as a service market. However,
the shortage of AI professionals and lack of confidence due to complex nature
are factors likely to impede the market growth.
Additionally,
the surge in demand for AI-powered services in the form of API and SDK and huge
number of innovative startups are also expected to majorly influence the growth
of the market. In addition, the growth in adoption of advanced commodity
services such as software as a service (SaaS), infrastructure as a service
(IaaS) and business process as a service (BPaaS) among many information technology
(IT) organizations is also projected create a significant demand for
artificial intelligence as a service as well as lifting the growth market.
The
global Artificial Intelligence-as-a-Service (AIaaS) Market is segregated on the
basis of Technology as Machine learning (ML), Computer Vision, Natural Language
Processing (NLP) and others. Based on Organization Size the global Artificial
Intelligence-as-a-Service (AIaaS) Market is segmented in Small & Medium
Enterprise and Large Enterprise. Based on Industry Vertical the global Artificial
Intelligence-as-a-Service (AIaaS) Market is segmented in BFSI, IT & Telecom,
Retail, Manufacturing, Public Sector, Energy & Utility, Healthcare and Others.
The
global Artificial Intelligence-as-a-Service (AIaaS) Market report provides
geographic analysis covering regions, such as Europe, North America, Asia
Pacific, and Rest of The World. The Artificial Intelligence-as-a-Service
(AIaaS) Market for each region is further segmented for major countries
including the U.S., Canada, Germany, the U.K., France, Italy, China, India,
Japan, Brazil, South Africa, and others.
Competitive Analysis
Google,
Inc., IBM, Microsoft Corporation, SAS Institute, Hytrust, FICO and others are
among the major players in the global Artificial Intelligence-as-a-Service
(AIaaS) Market. The companies studied in terms of product strategy and various
n several growth and expansion strategies to gain a competitive edge in the
market. The major players not only follow value chain integration with business
operations in multiple stages of the value chain.
- In
January 2020, IBM declared the introduction of Advertising Accelerator with
Watson, a first-to-market providing that leverages artificial intelligence (AI)
to estimate the optimal combination of creative elements to support in propel
high engagement and conversion for a given audience.
- In March
2019, McDonald declared the acquisition of Dynamic Yield an artificial
intelligence company for USD 300 million based in New York and Tel Aviv. This
acquisitions will support McDonald's understand what are most popular among
consumers, and help in designing solutions for more personalized experience.
The global Artificial Intelligence-as-a-Service
(AIaaS) Market has been segmented as below:
Artificial
Intelligence-as-a-Service (AIaaS) Market, By Technology
- Machine learning (ML)
- Computer Vision
- Natural Language Processing (NLP)
- Others
Artificial
Intelligence-as-a-Service (AIaaS) Market, By Organization Size
- Small & Medium Enterprise
- Large Enterprise
Artificial
Intelligence-as-a-Service (AIaaS) Market, By Industry Vertical
- BFSI
- IT & Telecom
- Retail
- Manufacturing
- Public Sector
- Energy & Utility
- Healthcare
- Others
Artificial
Intelligence-as-a-Service (AIaaS) Market, By Region
- Europe
- North America
- Asia Pacific
- Rest of The World
Artificial
Intelligence-as-a-Service (AIaaS) Market, By Company
- Google, Inc.
- IBM
- Microsoft Corporation
- SAS Institute
- Hytrust
- FICO
- Hytrust
- Intel
- Baidu
- SAP
- IRIS AI
- H2O. AI
- CognitiveScale, Inc.
- Apple Inc.
- Alphabet Inc.
- Salesforce, Inc.
- Fair Isaac Corporation
The
report covers the below scope:
- Global Artificial
Intelligence-as-a-Service (AIaaS) Market sizes from 2020 to 2026, along with
CAGR for 2020-2026
- Market size comparison for 2019 vs
2026, with actual data for 2019, estimates for 2019 and forecast from 2020 to
2026
- Global Artificial
Intelligence-as-a-Service (AIaaS) Market trends, covering comprehensive range
of consumer trends & manufacturer trends
- Value chain analysis covering
participants from raw material suppliers to the downstream buyer in the global Artificial
Intelligence-as-a-Service (AIaaS) Market
- Major market opportunities and
challenges in forecast timeframe to be focused
- Competitive landscape with analysis
on competition pattern, portfolio comparisons, development trends and strategic
management
- Comprehensive company profiles of
the key industry players
The
years considered for the study are as follows:
- Base year - 2019
- Estimated year - 2019
- Projected year - 2020
- Forecast period - 2021 to 2026
Report
Scope:
The global Artificial Intelligence-as-a-Service
(AIaaS) Market report scope includes detailed study covering underlying factors
influencing the industry trends. The report covers analysis on regional and
country level market dynamics. The scope also covers competitive overview
providing company market shares along with company profiles for major revenue
contributing companies. The report scope includes detailed competitive outlook
covering market shares and profiles key participants in the global Artificial
Intelligence-as-a-Service (AIaaS) Market share. Major industry players with
significant revenue share include Google, Inc., IBM, Microsoft
Corporation, SAS Institute, Hytrust, FICO and others.
Why to
Buy this Report:
- Gain detailed insights on the Artificial Intelligence-as-a-Service (AIaaS) industry trends
- Find complete analysis on the
market status
- Identify the Artificial
Intelligence-as-a-Service (AIaaS) Market opportunities and growth segments
- Analyse competitive dynamics by
evaluating business segments & product portfolios
- Facilitate strategy planning and
industry dynamics to enhance decision making
Target
Audience:
- The report targeted towards the existing players in
the industry is as follows:
- Market Manufacturers/Service
Providers
- Market Wholesale/Traders
- Investment and Financial
Institutions
Free
and Paid Customization based on the requirement