Registering a CAGR of 35.5% over the forecast period of 2022-2027, the global Artificial Intelligence & Advanced Machine Learning size is anticipated to reach the market value of USD 471.39 Billion in the year 2027 from USD 42.18 Billion in the year 2022.
Artificial Intelligence & Advanced Machine Learning Overview
Artificial Intelligence (AI) is a computer-science algorithm and analytics-driven approach to replicate human intelligence in a machine. The AI technology has a massive potential and is programmed for developing traits like reasoning, speech recognition, problem solving, learning, planning, and ability to control objects. The global artificial intelligence and advanced machine learning market is likely to make big leaps in the near future due to increasing number of applications.
The global Artificial intelligence and Advanced Machine Learning market is highly consolidated due to the presence of a large number of companies across this industry. The app uses ML to predict patients who are contemplating suicide. Rise in demand for digitalization in transportation, in hospitality and travel industries for hotel bookings and travel, and in healthcare sector in various economies across the globe has been fueling growth of the market.
Who are the Major Players in Artificial Intelligence & Advanced Machine Learning?
The global Artificial Intelligence & Advanced Machine Learning includes identification and analysis of the various market participants competing in the global market. Prominent competitors include iCarbonX, Jibo, Next IT, Prisma Labs, AIBrain, Quadratyx, NVIDIA, Inbenta, Numenta, Intel.
Industry News and Development:
Intel Targets a 30x Total AI Performance Gain by 2022
October 27, 2021 Intel announced that it is targeting to deliver up to a 30 times total AI performance gain for Intel Xeon Scalable processors by 2022. Intel provided a demonstration at Intel Innovation using pre-production next-generation Intel Xeon Scalable processors (code-named “Sapphire Rapids”). Performance gains were achieved by harnessing the built-in Advanced Matrix Extensions (AMX) engine in the next-gen Xeon processor, the Intel® Neural Compressor (INC), as well as oneDNN optimizations based on the oneAPI open industry standard.
What are the major Applications, Types, and Regions for Artificial Intelligence & Advanced Machine Learning Market?
Artificial Intelligence & Advanced Machine Learning is segmented based on the Type, Applications and Regions.
By Type, it is segmented into
Smart Wallets
- Voice-Assisted Banking
By Applications it is segmented into
- Insurance
- Banking and Capital Markets
Artificial Intelligence & Advanced Machine Learning Market Regional Analysis
The Artificial Intelligence & Advanced Machine Learning in the MEA region is estimated to expand at a significant rate and projected to dominate the global cloud integration market between 2022 & 2027. The key drivers of this market include enterprise mobility, increased agility, easy deployment and scalability of platforms, which are the major factors responsible for the growth of Artificial Intelligence & Advanced Machine Learning industry in MEA. However, the major restraint to this market is lack of awareness and security and privacy issues, are likely to limit the market growth in the near future.
- North America
- Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- Rest of the World
- Middle East & Africa
- Latin America
What is our Artificial Intelligence & Advanced Machine Learning Market report scope?
Scope of the Report covers Artificial Intelligence & Advanced Machine Learning Market with detailed analysis of the overall scenario for the market. It also highlights the business participants environment in the global marketplace. This report also provides an overview of leading companies covering the latest successful marketing strategies, market contributions, current and historical background, and latest market happenings to help key organizations to grow and generate larger profits. Business players will greatly benefit from this Artificial Intelligence & Advanced Machine Learning analysis report as it has vital details to provide about regional markets, expected opportunities for the prediction time period 2022-2027. Growth between segments is used to understand the different growth factors that are expected to dominate the market as a whole and to develop strategies to differentiate between key applications and target markets. It further reveals how the worldwide market is working through efficient information graphics.
Key Takeaways from this Artificial Intelligence & Advanced Machine Learning Report
- Evaluate Artificial Intelligence & Advanced Machine Learning market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level - for product types, end use applications and by different industry verticals.
- Understand the different dynamics influencing the market - growth driving factors, specific challenges and hidden opportunities.
- Get in-depth insights on your competitor performance – revenue, shares, business strategies, financial benchmarking, product benchmarking, SWOT analysis and more.
- Analyze the sales and distribution channels across geographies to enhance top-line revenues.
- Understand the demanding supply chain with a deep dive on the value augmentation at each, in order to optimize value and bring efficiencies in your processes.
- Get a quick outlook on the Artificial Intelligence & Advanced Machine Learning market entropy - M&A's, deals, partnerships, product launches of all key players for the past 5 years.
- Evaluate the import-export statistics, supply-demand and competitive landscape for more than top 20 countries globally for the market.
All our reports are custom made to your company needs to a certain extent, we do provide 5 free consulting hours along with purchase of each report, and this will allow you to request any additional data to customize the report as your needs.
SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.
PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.
MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.
EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.
REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.
