Machine-Learning-as-a-Service Market worth $137.78 billion by 2030, growing at a CAGR of 30.40% - Exclusive Report by 360iResearch

The "Machine-Learning-as-a-Service Market by Component (Services, Software), Application (Augmented & Virtual Reality, Fraud Detection & Risk Management, Marketing & Advertising), End User - Global Forecast 2024-2030" report has been added to 360iResearch.com's offering.

The Global Machine-Learning-as-a-Service Market to grow from USD 21.48 billion in 2023 to USD 137.78 billion by 2030, at a CAGR of 30.40%.

Request a Free Sample Report @ https://www.360iresearch.com/library/intelligence/machine-learning-as-a-service?utm_source=openpr&utm_medium=referral&utm_campaign=sample

The machine-learning-as-a-service (MLaaS) market encompasses a range of services offered by cloud providers that enable businesses and developers to leverage machine-learning tools without requiring deep expertise in the field or significant resource investment in hardware and software infrastructure. MLaaS is designed to offer a suite of machine learning capabilities that cater to a broad set of applications, including predictive analytics and data mining to complex algorithms for image and speech recognition. The MLaaS adoption is driven by increased data volume and greater computational power. Organizations leverage MLaaS to gain predictive insights and automated decision-making without substantial upfront investment in an IT infrastructure. The rise of IoT and the integration of AI in various applications also fuel the demand for MLaaS, providing businesses with access to machine learning technologies that help optimize operations and improve customer experiences. However, the MLaaS market faces data privacy and security concerns. Companies are often hesitant to share sensitive data with third-party MLaaS providers. The complexity of machine learning algorithms and the need for specialized expertise can also pose hurdles for organizations looking to adopt MLaaS solutions. Additionally, there's the issue of a lack of control over proprietary ML algorithms, which could lead to dependency on the service providers. The growing need for advanced analytics and predictive modeling across various industries, including healthcare, presents significant opportunities in the MLaaS sector. The continuous advancements in ML algorithms and models also open new avenues for innovative services and improvement in the accuracy and efficiency of existing solutions, creating a ripe environment for future market expansions.

Market Segmentation & Coverage:

This research report categorizes the Machine-Learning-as-a-Service Market in order to forecast the revenues and analyze trends in each of following sub-markets:

Based on Component, market is studied across Services and Software. The Software is projected to witness significant market share during forecast period.

Based on Application, market is studied across Augmented & Virtual Reality, Fraud Detection & Risk Management, Marketing & Advertising, Predictive Analytics, and Security & Surveillance. The Augmented & Virtual Reality is projected to witness significant market share during forecast period.

Based on End User, market is studied across BFSI, Healthcare & Life Sciences, Manufacturing, Retail, and Telecom. The Healthcare & Life Sciences is projected to witness significant market share during forecast period.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 38.41% in 2023, followed by Europe, Middle East & Africa.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is essential for assessing the Machine-Learning-as-a-Service Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).

Market Share Analysis:

The Market Share Analysis offers an insightful look at the current state of vendors in the Machine-Learning-as-a-Service Market. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.

Key Company Profiles:

The report delves into recent significant developments in the Machine-Learning-as-a-Service Market, highlighting leading vendors and their innovative profiles. These include Amazon.com Inc., AT&T Inc., BigML, Inc., Fair Isaac Corporation, Google LLC, H2O.ai, Hewlett Packard Enterprise Company, IBM Corp., Iflowsoft Solutions Inc., Microsoft Corporation, Monkeylearn Inc., SAS Institute Inc., Sift Science Inc., and Yottamine Analytics, LLC.

Inquire Before Buying @ https://www.360iresearch.com/library/intelligence/machine-learning-as-a-service?utm_source=openpr&utm_medium=referral&utm_campaign=inquire

Key Topics Covered:

1. Preface
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
6. Machine-Learning-as-a-Service Market, by Component
7. Machine-Learning-as-a-Service Market, by Application
8. Machine-Learning-as-a-Service Market, by End User
9. Americas Machine-Learning-as-a-Service Market
10. Asia-Pacific Machine-Learning-as-a-Service Market
11. Europe, Middle East & Africa Machine-Learning-as-a-Service Market
12. Competitive Landscape
13. Competitive Portfolio
14. Appendix

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast of the Machine-Learning-as-a-Service Market?
2. Which are the products/segments/applications/areas to invest in over the forecast period in the Machine-Learning-as-a-Service Market?
3. What is the competitive strategic window for opportunities in the Machine-Learning-as-a-Service Market?
4. What are the technology trends and regulatory frameworks in the Machine-Learning-as-a-Service Market?
5. What is the market share of the leading vendors in the Machine-Learning-as-a-Service Market?
6. What modes and strategic moves are considered suitable for entering the Machine-Learning-as-a-Service Market?

Read More @ https://www.360iresearch.com/library/intelligence/machine-learning-as-a-service?utm_source=openpr&utm_medium=referral&utm_campaign=analyst

Contact 360iResearch

Mr. Ketan Rohom
Sales & Marketing,
Office No. 519, Nyati Empress,
Opposite Phoenix Market City,
Vimannagar, Pune, Maharashtra,
India - 411014.
sales@360iresearch.com
+1-530-264-8485
+91-922-607-7550

About 360iResearch

360iResearch is a market research and business consulting company headquartered in India, with clients and focus markets spanning the globe.

We are a dynamic, nimble company that believes in carving ambitious, purposeful goals and achieving them with the backing of our greatest asset - our people.

Quick on our feet, we have our ear to the ground when it comes to market intelligence and volatility. Our market intelligence is diligent, real-time and tailored to your needs, and arms you with all the insight that empowers strategic decision-making.

Our clientele encompasses about 80% of the Fortune Global 500, and leading consulting and research companies and academic institutions that rely on our expertise in compiling data in niche markets. Our meta-insights are intelligent, impactful and infinite, and translate into actionable data that support your quest for enhanced profitability, tapping into niche markets, and exploring new revenue opportunities.

This release was published on openPR.