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AI/Machine Learning Market is booming from 2023 to 2033GOOGLE, IBM, BAIDU

08-23-2023 02:36 PM CET | IT, New Media & Software

Press release from: Infinity Business Insights

AI/Machine Learning Market

AI/Machine Learning Market

Infinity Business Insights has recently released a comprehensive research report titled "AI/Machine Learning Market Insights, Extending to 2030." This publication spans over 110+ pages and offers an engaging presentation with visually appealing tables and charts that are self-explanatory.

Major players in the market include GOOGLE, IBM, BAIDU, SOUNDHOUND, ZEBRA MEDICAL VISION, PRISMA, IRIS AI, PINTEREST, TRADEMARKVISION, DESCARTES LABS, Amazo

Click to get Global AI/Machine Learning Market Research Sample PDF Copy Here @ https://www.infinitybusinessinsights.com/request_sample.php?id=718198&AY13

Market Overview:

The global AI/Machine Learning market is expected to grow at a compound annual growth rate of 37.3% from 2023 to 2030 to reach USD 1,811.8 billion by 2030. Artificial Intelligence (AI) and Machine Learning (ML) are transformative technologies that enable computers to learn from data and perform tasks that traditionally required human intelligence. AI encompasses the development of intelligent systems capable of reasoning, problem-solving, and decision-making. ML, a subset of AI, focuses on creating algorithms that enable computers to learn and improve their performance over time without explicit programming. AI/ML systems process vast amounts of data to recognize patterns, make predictions, and automate complex tasks. They have applications across various domains, such as healthcare (diagnosis, drug discovery), finance (fraud detection, stock market analysis), customer service (chatbots, recommendation systems), and autonomous vehicles.

A positive CAGR signifies growth, indicating that the market is expanding over time. For investors, CAGR provides insights into the potential returns from an investment over the long term, helping them assess risk and reward. For businesses, it informs decisions related to product development, market entry, and resource allocation.

You can get some information about this research here@ https://www.infinitybusinessinsights.com/enquiry_before_buying.php?id=718198&AY13

Global AI/Machine Learning Market: Segmental Analysis

AI/Machine Learning Market by Type:

TensorFlow
Caffe2
Apache MXNet

AI/Machine Learning Market by Application:

Automotive
Santific Research
Big Date
Others

Countries Covered:

North America (U.S. and Canada)

Latin America (Mexico, Brazil, Peru, Chile, and others)

Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)

Eastern Europe (Poland and Russia)

Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)

Middle East and Africa (GCC, Southern Africa, and North Africa)

The COVID-19 pandemic has already demonstrated its profound effects on various sectors. Lockdowns, travel restrictions, and shifts in consumer behavior led to disruptions in supply chains, altered demand patterns, and changes in workforce dynamics. Industries like travel, hospitality, and retail suffered while digital services, healthcare technology, and e-commerce experienced growth.

AI/Machine Learning Market Challenges and Risks:

AI algorithms require high-quality, unbiased training data to produce accurate results. If the training data is biased or incomplete, the AI system can make incorrect predictions or perpetuate existing biases. Complex AI models can be challenging to interpret, making it difficult to understand how they arrive at their decisions. Lack of transparency can hinder trust and regulatory compliance. As AI becomes more integrated into critical sectors, regulatory frameworks and ethical considerations must be addressed to ensure compliance and responsible use. AI systems often process large amounts of personal and sensitive data. Ensuring data privacy and protection from breaches is crucial to prevent legal and reputational risks. AI models trained on one dataset might struggle to generalize to new or diverse data, leading to reduced performance in real-world scenarios. AI can inadvertently perpetuate or amplify biases present in training data. Ensuring fairness in AI systems and avoiding discrimination is a significant challenge.

The research study can answer the following Key questions:

(1) What is the estimated size of the AI/Machine Learning at the end of the forecast period?

(2) Is the segment-leading the AI/Machine Learning anticipated to retain its leadership?

(3) Which regions demonstrate the maximum growth potential?

(4) Does any player dominate the AI/Machine Learning ?

(5) What are the main drivers and restraints in the AI/Machine Learning ?

Read the AI/Machine Learning Market Detailed Index of the Full Research Study at@ https://www.infinitybusinessinsights.com/reports/global-ai-machine-learning-market-2022-by-company-regions-type-and-application-forecast-to-2028-718198?AY13

Extracts from Table of Content:

Chapter 1: Global AI/Machine Learning Market Overview

Chapter 2: Economic Impact on Industry

Chapter 3: Market Competition by Manufacturers

Chapter 4: Production, Revenue (Value) by Region

Chapter 5: Supply (Production), Consumption, Export, Import by Regions

Chapter 6: Production, Revenue (Value), Price Trend by Type

Chapter 7: Market Analysis by Application

Chapter 8: Manufacturing Cost Analysis

Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10: Marketing Strategy Analysis, Distributors/Traders

Chapter 11: Market Effect Factors Analysis

Chapter 12: Research Conclusions of Global AI/Machine Learning Market

Contact Us
Infinity Business Insights
Contact No: +1 518 300 3575
Email: inquiry@infinitybusinessinsights.com
Website: https://www.infinitybusinessinsights.com

About Us:
Infinity Business Insights is a market research company that offers market and business research intelligence all around the world. We are specialized in offering the services in various industry verticals to recognize their highest-value chance, address their most analytical challenges, and alter their work.

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