$95.51 Billion Worldwide Artificial Intelligence as a Service Industry to 2028 Increasing Use of Artificial Intelligence

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Global Artificial Intelligence as a Service Market Was Estimated At USD 8.97 Billion In 2021, And Is Projected To Reach USD 95.51 Billion By 2028, Growing At A CAGR Of 40.2 % Over The Analysis Period (2023-2030).

Market Overview:

The Artificial Intelligence as a Service (AIaaS) market has witnessed exponential growth in recent years and is poised for continued expansion. AIaaS refers to the provision of artificial intelligence capabilities through cloud-based services, allowing organizations to access and utilize advanced AI technologies without the need for extensive in-house infrastructure or expertise. This market has gained significant traction across various industries, including healthcare, finance, retail, and manufacturing, as businesses recognize the transformative potential of AI in improving operational efficiency, customer experience, and decision-making.

Top Key Players Covered in The Artificial Intelligence as a Service Market

Google LLC, Amazon Web Services, Apple Inc., Baidu, BigML, BMC, CognitiveScale Inc., Fair Isaac Corporation, IBM Corporation, Intel Corporation, Deloitte, Microsoft Corporation, Oracle Corporation, Salesforce Inc., SAP SE and Other Major Players

The Report Will Include A Major Chapter

·         Patent Analysis

·         Regulatory Framework

·         Technology Roadmap

·         BCG Matrix

·         Heat Map Analysis

·         Price Trend Analysis

 

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Market Driver:

Increasing Demand for AI-Driven Insights: Businesses are increasingly relying on AIaaS to gain actionable insights from their data. AI-powered analytics and predictive modeling are enabling organizations to make data-driven decisions, optimize processes, and identify new revenue opportunities. The ability to extract meaningful patterns and insights from large datasets is propelling the adoption of AIaaS across diverse sectors.

Market Opportunity:

Edge AI and IoT Integration: One significant market opportunity lies in the integration of AIaaS with edge computing and the Internet of Things (IoT). As more devices become equipped with AI capabilities at the edge, there's a growing need for AI services that can analyze data locally, reducing latency and dependence on centralized cloud resources. The convergence of AIaaS with edge computing and IoT presents a promising avenue for market expansion, especially in applications like autonomous vehicles, smart cities, and industrial automation.

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For the Purpose Of This Report, Reports And Data Has Segmented The Global Artificial Intelligence as a Service Market On The Basis Of Type, By Source, By Product, And Region:

By Type          

·         Software Tools

·         Services

By Technology          

·         Natural Language Processing

·         Machine Learning & Deep Learning

·         Others

By End-Use Industry 

·         BFSI

·         Government & Defense

·         Healthcare & Life Sciences

·         Telecommunications

·         Retail

·         Others

By Region

·         North America (US, Canada, Mexico)

·         Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)

·         Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)

·         Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)

·         Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)

·         South America (Brazil, Argentina, Rest of SA)

Key Industry Development In The Artificial Intelligence as a Service Market

In April 2021, Deloitte unveiled ReadyAI, a comprehensive portfolio of capabilities and services designed to help organizations in accelerating and scaling their artificial intelligence (AI) projects. ReadyAI combines skilled AI specialists with managed services in a flexible AI-as-a-service model designed to assist clients in scaling AI across their organizations.

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