Composite AI Market Size, Share and Global Market Forecast to 2028

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

By Component (Hardware, Software, Services), By Process (Conditioned Monitoring, Pattern Recognition, Data Processing, Proactive Mechanism, Data Mining & Machine Learning, Others), By Function (Produc... ... 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

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.

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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