Global Composite AI Market Research Report: Forecast (2023-2028)

Name: Global Composite AI Market Research Report: Forecast (2023-2028)
Creator: MarkNtel Advisors
License: https://www.marknteladvisors.com/privacy-policy

By Component (Hardware, Software, Services), By Process (Conditioned Monitoring, Pattern Recognition, Data Processing, Proactive Mechanism, Data Mining & Machine Learning, Others),... By Function (Product Design & Development, Quality Control, Maintenance & Support, Security & Surveillance, Supply Chain Management, Customer Service, Others), By End-User (Finance, Healthcare, Government, Logistics, Automotive, Manufacturing, Others), By Region (North America, South America, Europe, Asia-Pacific, Middle East & Africa), By Country (U.S, Canada, Brazil, Germany, France, The U.K, Italy, China, India, Japan, South Korea, GCC, South Africa), By Competitors (Black Swan Technologies, SAS, E-SPIN Corp., Exponential AI, Opentext, Infosys, Lalaland) Read more

ICT & Electronics
Mar 2023
Pages 232
Report Format: PDF, Excel, PPT

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Market Definition

Composite AI is a new approach that comprise different AI technologies and generates deeper insights from any form of data. By expanding the quality & scope of AI applications, composite AI is more accurate, transparent, faster, & understandable and delivers better results to users.

Market Insights

The Global Composite AI Market is likely to grow at around 35% CAGR during the forecast period, i.e., 2023-28. The growth of the market is projected to be driven mainly by the ever-rising demand for AI-based cognitive solutions across different industries, the growing need for evaluating large complex data sets in data-sensitive enterprises, and significant improvements in AI algorithms & technologies, which all are augmenting the large-scale adoption of AI-based solutions.

Report Coverage	Details
Study Period	Historical Data: 2018-21
	Base Year: 2022
	Forecast Period: 2023-28
CAGR (2023-2028)	35%
Regions Covered	North America: USA, Canada
	Europe: Germany, The UK, France, Italy
	Asia-Pacific: China, India, Japan, South Korea
	South America: Brazil, and Argentina
	Middle East & Africa: GCC, Africa
Key Companies Profiled	Black Swan Technologies, SAS, E-SPIN Corp., Exponential AI, Opentext, Infosys, Lalaland
Unit Denominations	USD Million/Billion

In recent years, AI has significantly expanded in terms of both popularity & accessibility, which has firmed its position as a key component in the world of technology. Within this domain, Composite AI is emerging as one of the most promising AI technologies. Although it is not yet widely popular, it is becoming increasingly crucial for successful AI deployments.

By integrating a mix of relevant AI techniques to address a particular business challenge while not focusing too much on one specific AI technique and continuously deploying decision flows & models to generate value, enterprises can attain an unparalleled competitive edge in the market. Hence, the mounting demand for improved business functions & enhanced productivity, along with ongoing technological innovations across various end-user industries, would provide lucrative opportunities to the leading players operating in the Composite AI Market.

Market Dynamics

Key Driver: Ever-Increasing Investments in AI technologies

The world is witnessing a rapidly growing number of high-tech companies and small startups, i.e., augmenting the adoption of numerous AI-based platforms in order to attain high productivity & efficiency in their value chains. Composite AI technology helps analyze and interpret the massive volumes of data collected efficiently through algorithms, which results in enhanced productivity. Hence, these perks are aiding its demand across different end-user industries and, in turn, driving the Global Composite AI Market.

Market Segmentation

Based on End-User:

Finance
Healthcare
Government
Logistics
Automotive
Manufacturing
Others

Of all end-users, finance holds a sizeable share of the Composite AI Market. The existing rule-based systems are becoming inadequate in analyzing large volumes of data to identify fraudulent activities in banks. Composite AI is helping banks & other financial institutions enhance these largely retrospective legacy systems via methods like behavioral analysis, network analysis, & login analysis in order to enable them to identify new fraudulent schemes in a more effective manner.

The increased use of behavioral analysis by banks to identify patterns and predict fraudulent activity for each customer by using data mining & natural language processing to examine customer information like KYC data & transaction history is driving the adoption of Composite AI across the finance sector. Moreover, the growing utilization of network analysis & visual link analysis in this industry to identify relationships between all entities involved in fraudulent transactions using knowledge graphs and to track the flow of funds & assess transaction history respectively is another crucial factor accelerating the growth of the Global Composite AI Market across the finance sector.

Regional Projection

Geographically, the Global Composite AI Market expands across:

North America
South America
Asia-Pacific
Europe
Middle East & Africa

Of all regions globally, North America holds the largest share of the Global Composite AI Market, and the same trend is likely during 2023-28. It owes to the presence of leading market players across the region, coupled with promising government initiatives toward promoting the adoption of composite AI across various end-user verticals, including healthcare, automotive, and retail sectors.

In North America, the US leads in the field of AI with rigorous R&D by renowned institutions & companies. The country has made remarkable contributions to areas like NLP (Natural Language Processing), ML (Machine Learning), & Computer Vision, among others. Overall, the country's progress in AI is highly promising, and it is well-positioned to continue making notable contributions to the Composite AI Market in the years to come.

Key Questions Answered in the Market Research Report:

What are the overall statistics or estimates (Overview, Size- By Value, Forecast Numbers, Segmentation, Shares) of the Global Composite AI Market?
What are the region-wise industry size, growth drivers, and challenges?
What are the key innovations, opportunities, current & future trends, and regulations in the Global Composite AI Market?
Who are the key competitors, their key strengths & weaknesses, and how do they perform in the Global Composite AI Market based on the competitive benchmarking matrix?
What are the key results derived from surveys conducted during the Global Composite AI Market study?

Frequently Asked Questions

A. The Global Composite AI Market is likely to register around 35% CAGR during 2023-28.

A. The mounting demand for AI-based cognitive solutions across different end-user verticals and the rising need of data-sensitive enterprises for evaluating large complex data sets are the prime aspects projected to drive the Global Composite AI Market during 2023-28.

A. Black Swan Technologies, SAS, E-SPIN Corp., Exponential AI, Opentext, Infosys, & Lalaland are the key companies participating in the Global Composite AI Market.

A. Finance is projected to create lucrative prospects for the leading players in the Global Composite AI Market during 2023-28.

A. Globally, North America would continue generating remunerative opportunities for the Composite AI Market in the coming years.

Introduction
1. Product Definition
2. Research Process
3. Assumptions
4. Market Segmentation
Preface
Executive Summary
Impact of COVID-19 on Global Composite AI Market
Global Composite AI Market Government Regulations
Global Composite AI Market Trends & Insights
Global Composite AI Market Dynamics
1. Growth Drivers
2. Challenges
3. Impact Analysis
Global Composite AI Market Hotspot & Opportunities
Global Composite AI Market Start-up Ecosystem, 2018-2028F
1. Entrepreneurial Activity
2. Year On Year Funding Received
3. Funding Received by Top Companies
4. Key Investors Active in the Market
5. Series Wise Funding Received
  1. Seed Funding
  2. Angel Investing
  3. Venture Capital
  4. Others
Global Composite AI Market Analysis 2018-2028F
1. Market Size & Analysis
  1. Market Revenue
2. Market Share & Analysis
  1. By Component
    1. Hardware
    2. Software
    3. Services
  2. By Process
    1. Conditioned Monitoring
    2. Pattern Recognition
    3. Data Processing
    4. Proactive Mechanism
    5. Data Mining & Machine Learning
    6. Others
  3. By Function
    1. Product Design & Development
    2. Quality Control
    3. Maintenance & Support
    4. Security & Surveillance
    5. Supply Chain Management
    6. Customer Service
    7. Others
  4. By End User
    1. Finance
    2. Healthcare
    3. Government
    4. Logistics
    5. Automotive
    6. Manufacturing
    7. Others
  5. By Region
    1. North America
    2. South America
    3. Europe
    4. Middle East & Africa
    5. Asia Pacific
North America Composite AI Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. Market Revenue
2. Market Share & Analysis
  1. By Component
  2. By Process
  3. By Function
  4. By End User
  5. By Country
    1. The United States
    2. Canada
    3. Others
South America Composite AI Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. Market Revenue
2. Market Share & Analysis
  1. By Component
  2. By Process
  3. By Function
  4. By End User
  5. By Country
    1. Brazil
    2. Others
Europe Composite AI Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. Market Revenue
2. Market Share & Analysis
  1. By Component
  2. By Services
  3. By Function
  4. By End User
  5. By Country
    1. Germany
    2. France
    3. The UK
    4. Italy
    5. Others
Middle East & Africa Composite AI Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. Market Revenue
2. Market Share & Analysis
  1. By Component
  2. By Services
  3. By Function
  4. By End User
  5. By Country
    1. GCC
    2. Africa
    3. Others
Asia Pacific Composite AI Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. Market Revenue
2. Market Share & Analysis
  1. By Component
  2. By Services
  3. By Function
  4. By End User
  5. By Country
    1. China
    2. Japan
    3. South Korea
    4. India
    5. Others
Global Composite AI Market Key Strategic Imperatives for Success & Growth
Competition Outlook
1. Competition Matrix
  1. Technology Portfolio
  2. Brand Specialization
  3. Target Markets
  4. Target Technology
  5. Research & Development
  6. Strategic Alliances
  7. Strategic Initiatives
2. Company Profiles (Business Description, Product Segments, Business Segments, Financials, Strategic Alliances/ Partnerships, Future Plans)
  1. Black Swan Technologies
  2. SAS
  3. E-SPIN Corp.
  4. Exponential AI
  5. Opentext
  6. Infosys
  7. Lalaland
Disclaimer

MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:

1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.

2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.

3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.

4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making

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