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Global Composite AI Market Analysis, 2021

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    Report

  • 232 Pages
  • May 2021
  • Region: Global
  • MarkNtel Advisors LLP
  • ID: 5439659

Market Overview


Composite AI is combining different kinds of AI technologies to achieve the best and most apt results.

According to the publisher’ research report, “Global Composite AI Market Analysis, 2021,” the market is likely to grow at a CAGR of around 35% during 2021-26 due to the mounting demand for AI-based cognitive solutions and the burgeoning need for evaluating complex data sets in data-sensitive companies.

Besides, enhancements in algorithms and technologies further augment the large-scale adoption of AI-based solutions. In addition to this, surging demand for improving business functions and evolving innovation across industries provides a lucrative opportunity to propel the growth of the Composite AI Market across the globe.

Impact of COVID-19


The outbreak of the COVID-19 pandemic has aided the demand for technological developments and new applications within different end-use verticals. Moreover, due to the spread of disease, the need for AI-enabled solutions in the healthcare sector witnessed tremendous growth for responding to any crises as quickly as possible.

Besides the healthcare sector, the demand for composite AI also experiences fast growth in the education sector to cater to a large consumer base without any service disturbance or delay.

Market Segmentation


Software Segment Accounted for the Largest Market Share


Based on the component, the market classifies into Hardware, Software, and Services. Among these, the Software segment acquired the largest share in the Global Composite AI Market in the past few years. The segment growth attributes to the surging demand for advanced AI software across dynamic end-user sectors.

Moreover, the surging requirements of organizations to analyze their data and gain proper insights from it also boost the adoption of composite AI software and hence, propel the segment growth, cites the authors in their research report, “Global Composite AI Market Analysis, 2021.”

Manufacturing Sector Dominated the Market


Based on the End-User, the market bifurcates into Finance, Healthcare, Government, Logistics, Automotive, and Manufacturing sectors. Of these sectors, Manufacturing captured a significant share in the Global Composite AI Market in the past few years, primarily due to the increased customer satisfaction, diverse application area, and improved productivity.

Further, using composite AI in the manufacturing sector is beneficial for workflow management and Big Data integration. Thus, these factors contribute to the manufacturing sector's growth.

Regional Landscape


North America Region Attained the Highest Market Share


Geographically, North America held the largest share in the Global Composite AI Market in the past few years due to the abundant availability of leading market players in the region. In addition to this, the promising government initiatives to promote the adoption of composite AI across various end-user verticals, including healthcare, automotive, and retail sectors, are amongst other crucial factors propelling the market growth in the North American region.

Market Driver


Surging Investments in AI technologies boost the Market Share


The mounting number of high-tech companies and small startups surge the adoption of AI-based platforms to attain high productivity and efficiency in their value chains. Further, the ability of composite AI technology to analyze and interpret the massive data collected efficiently through algorithms, resulting in increased productivity, thereby fueling the market growth.

Competitive Landscape


According to the publishers, the major leading players in the global Composite AI market are Black Swan Technologies, SAS, E-SPIN Corp., Exponential AI, Opentext, Infosys, and Lalaland.

Key Questions Answered in the Market Research Report:


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

Table of Contents

1. Introduction
1.1. Product Definition
1.2. Research Process
1.3. Assumptions
1.4. Market Segmentation
2. Preface3. Executive Summary4. Impact of COVID-19 on Global Composite AI Market5. Global Composite AI Market Government Regulations6. Global Composite AI Market Trends & Insights
7. Global Composite AI Market Dynamics
7.1. Growth Drivers
7.2. Challenges
7.3. Impact Analysis
8. Global Composite AI Market Hotspot & Opportunities
9. Global Composite AI Market Start-up Ecosystem, 2016-2021
9.1. Entrepreneurial Activity
9.2. Year On Year Funding Received
9.3. Funding Received by Top Companies
9.4. Key Investors Active in the Market
9.5. Series Wise Funding Received
9.5.1. Seed Funding
9.5.2. Angel Investing
9.5.3. Venture Capital
9.5.4. Others
10. Global Composite AI Market Analysis 2021-2026F
10.1. Market Size & Analysis
10.1.1. Market Revenue
10.2. Market Share & Analysis
10.2.1. By Component
10.2.1.1. Hardware
10.2.1.2. Software
10.2.1.3. Services
10.2.2. By Process
10.2.2.1. Conditioned Monitoring
10.2.2.2. Pattern Recognition
10.2.2.3. Data Processing
10.2.2.4. Proactive Mechanism
10.2.2.5. Data Mining & Machine Learning
10.2.2.6. Others
10.2.3. By Function
10.2.3.1. Product Design & Development
10.2.3.2. Quality Control
10.2.3.3. Maintenance & Support
10.2.3.4. Security & Surveillance
10.2.3.5. Supply Chain Management
10.2.3.6. Customer Service
10.2.3.7. Others
10.2.4. By End User
10.2.4.1. Finance
10.2.4.2. Healthcare
10.2.4.3. Government
10.2.4.4. Logistics
10.2.4.5. Automotive
10.2.4.6. Manufacturing
10.2.4.7. Others
10.2.5. By Region
10.2.5.1. North America
10.2.5.2. South America
10.2.5.3. Europe
10.2.5.4. Middle East & Africa
10.2.5.5. Asia Pacific
11. North America Composite AI Market Outlook, 2021-2026F
11.1. Market Size & Analysis
11.1.1. Market Revenue
11.2. Market Share & Analysis
11.2.1. By Component
11.2.2. By Process
11.2.3. By Function
11.2.4. By End User
11.2.5. By Country
11.2.5.1. The United States
11.2.5.2. Canada
11.2.5.3. Others
12. South America Composite AI Market Outlook, 2021-2026F
12.1. Market Size & Analysis
12.1.1. Market Revenue
12.2. Market Share & Analysis
12.2.1. By Component
12.2.2. By Process
12.2.3. By Function
12.2.4. By End User
12.2.5. By Country
12.2.5.1. Brazil
12.2.5.2. Others
13. Europe Composite AI Market Outlook, 2021-2026F
13.1. Market Size & Analysis
13.1.1. Market Revenue
13.2. Market Share & Analysis
13.2.1. By Component
13.2.2. By Services
13.2.3. By Function
13.2.4. By End User
13.2.5. By Country
13.2.5.1. Germany
13.2.5.2. France
13.2.5.3. The UK
13.2.5.4. Italy
13.2.5.5. Others
14. Middle East & Africa Composite AI Market Outlook, 2021-2026F
14.1. Market Size & Analysis
14.1.1. Market Revenue
14.2. Market Share & Analysis
14.2.1. By Component
14.2.2. By Services
14.2.3. By Function
14.2.4. By End User
14.2.5. By Country
14.2.5.1. GCC
14.2.5.2. Africa
14.2.5.3. Others
15. Asia Pacific Composite AI Market Outlook, 2021-2026F
15.1. Market Size & Analysis
15.1.1. Market Revenue
15.2. Market Share & Analysis
15.2.1. By Component
15.2.2. By Services
15.2.3. By Function
15.2.4. By End User
15.2.5. By Country
15.2.5.1. China
15.2.5.2. Japan
15.2.5.3. South Korea
15.2.5.4. India
15.2.5.5. Others
16. Global Composite AI Market Key Strategic Imperatives for Success & Growth
17. Competition Outlook
17.1. Competition Matrix
17.1.1. Technology Portfolio
17.1.2. Brand Specialization
17.1.3. Target Markets
17.1.4. Target Technology
17.1.5. Research & Development
17.1.6. Strategic Alliances
17.1.7. Strategic Initiatives
17.2. Company Profiles (Business Description, Product Segments, Business Segments, Financials, Strategic Alliances/ Partnerships, Future Plans)
17.2.1. Black Swan Technologies
17.2.2. SAS
17.2.3. E-SPIN Corp.
17.2.4. Exponential AI
17.2.5. Opentext
17.2.6. Infosys
17.2.7. Lalaland
18. Disclaimer

Companies Mentioned

  • Black Swan Technologies
  • SAS
  • E-SPIN Corp.
  • Exponential AI
  • Opentext
  • Infosys
  • Lalaland

Methodology

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