Global Artificial Intelligence as a Service Market Is Expected to Reach $77.04 Billion by 2025: Says AMR

Portland, OR, April 08, 2021 (GLOBE NEWSWIRE) — According to the report published by Allied Market Research, the global artificial intelligence as a service market was pegged at $2.39 billion in 2017 and is estimated to hit $77.04 billion by 2025, registering a CAGR of 56.7% from 2018 to 2025. The report provides an in-depth analysis of the top investment pockets, top winning strategies, drivers & opportunities, market size & estimations, competitive landscape, and changing market trends.

The growing expenditure on adoption of artificial intelligence and technological advancement for workflow optimization fuel the demand for advanced analytical systems in the market. Moreover, rise in adoption of cloud-based solutions in end-user industries and surge in requirements for cognitive computing drive the growth of the AIaaS industry. On the other hand, dearth of trained professionals is expected to impede the growth to some extent. However, increased application areas and growth in demand for IoT are projected to pave the way for lucrative opportunities in the coming years.

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Covid-19 scenario-

  • The outbreak of the pandemic led to the drift of work-from-home practice for most of the organizations across the world. Accordingly, the artificial intelligence as a service market has received a considerable boost, since it enables people and organizations to explore different avenues for different purposes without high investment for initial installation and involves low risk.
  • This trend is likely to continue post pandemic as well. Companies such as Google, IBM, Microsoft, and other leading players have actively implemented AI services as an important part of their technologies.

Get detailed COVID-19 impact analysis on the Artificial intelligence as a service (AIaaS) market:

The global artificial intelligence as a service market is analyzed across technology, organization size, industry vertical, and region. Based on technology, the machine learning segment accounted for more than two-fifths of the total market share in 2017 and would retain its dominance by 2025. At the same time, the natural language processing segment would register the fastest CAGR of 57.5% from 2018 to 2025.

Based on organization size, the large enterprises segment contributed to two-third of the total market revenue in 2017, and is expected to dominate by 2025. The same segment would also grow at the fastest CAGR of 57.0% from 2018 to 2025.

Based on region, North America held the major share in 2017 and is projected to lead the trail by 2025. However, Asia-Pacific would exhibit the fastest CAGR of 59.9% from 2018 to 2025. The other regions analyzed through the report include Europe and LAMEA.

The leading market players analyzed in the global artificial intelligence as a service market report include IBM Corporation, CognitiveScale, Inc., Apple Inc., Intel, Inc., SAP SE, Alphabet Inc. (Google Inc.),Salesforce, Inc., and Fair Isaac Corporation. These market players have adopted different strategies including partnership, expansion, collaboration, joint ventures, and others to reinforce their status in the industry.

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About Us:

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain. 

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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