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Artificial Intelligence (AI) In Manufacturing Market Report

RA05963

Artificial Intelligence (AI) in Manufacturing Market, by Industry (Automobile, Energy and Power, Pharmaceuticals, Heavy Metals and Machine Manufacturing, Semiconductors and Electronics, Food & Beverages, Others), Technology (Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision), Application (Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Cyber security, Industrial Robots, Reclamation): Global Opportunity Analysis and Industry Forecast, 2020-2027

RA05963

Pages: 301

May 2023

The global artificial intelligence (ai) in manufacturing market is estimated to surpass $27,039.1 million by 2027, exhibiting a CAGR of 58.0% from 2020 to 2027.

The report provides all-inclusive analysis of global artificial intelligence (ai) in manufacturing market with comprehensive study of the various facets of the market including market dynamics, major segments and regions, top leading players, and competitive landscape.

The report emphasizes current market scenario and future trends of the global artificial intelligence (ai) in manufacturing market which gleaned from the impact of various market dynamics such as drivers, challenges & restraints, lucrative opportunities. The report also highlights the key forces that are shaping the market. Besides, the report provides Porter’s five forces analysis which precisely underlines the impact of key forces on the global artificial intelligence (ai) in manufacturing market.

In addition, the report provides market size and forecast scrutinizing global artificial intelligence (ai) in manufacturing market through different segments. The report highlights the geographical market analysis of these segments and each segment is thoroughly studied at regional as well as country level to get clearer picture of the global artificial intelligence (ai) in manufacturing market. In the report, the global artificial intelligence (ai) in manufacturing market is divided into four major regions including North America, Europe, Asia-Pacific, and LAMEA. These regions are further divided into major countries to cover artificial intelligence (ai) in manufacturing market landscape in respective regions.

Furthermore, competitive scenario of the global artificial intelligence (ai) in manufacturing market is covered in the report. Major players functioning in the global artificial intelligence (ai) in manufacturing market are also studied to understand their position and competitive strengths in the industry. The major company profiles covered in the report include various company’s datum such as brief overview, recent financials, main executives, adoption of key growth strategies, novel advancements or initiatives to sustain and expand their position in the global artificial intelligence (ai) in manufacturing market, and others.

RESEARCH METHODOLOGY

The research report is drafted by in-house research analysts who sincerely examine the market scenario and form predictions. The market forecasts specified in the report have been derived using proven research approaches and analytical models & tools. The use of such pioneering and effective tools helps market analysts in analyzing, filtering, and providing highly precise statistics and estimates. The report provides an extensive research and analysis backed with factual data obtained from various interviews with market players, reliable and renowned sources of data, and regional intelligence. The insights provided in the report can help investors, stakeholders, and market players to understand investment suitability and seize opportunities for advancements, investments, and partnerships in the global artificial intelligence (ai) in manufacturing market.

The research report is formulated by collecting different information, news, and statistics about the artificial intelligence (ai) in manufacturing market. For instance, detailed interviews and discussions with veteran market players and stakeholders, including upstream and downstream members have been conducted to obtain reliable and realistic data. Even though primary research forms the crucial part of the research report, secondary research plays a significant role in backing the research outcomes.  Nearly 5,900 product type literatures, business magazines, company annual reports, and other such significant documents of leading market players have been considered and studied for thorough understanding of the market scenario. In addition, truthful industry bulletins, medical newsletters, trade associations’ journals, and government websites have been explored for tracking down high-value market insights.

KEY MARKET BENEFITS

  • The report provides the market size and predictions for the period from 2019 to 2027
  • This report delivers inventions, trends, and innovative developments along with an exhaustive quantitative analysis of the artificial intelligence (ai) in manufacturing market during the period of forecast
  • The prevailing and forthcoming investment opportunities along with the strategic assessment of the global artificial intelligence (ai) in manufacturing market growth is delivered
  • The market size and forecasts are derived by scrutinizing market boomers and restraints, and key developments in the artificial intelligence (ai) in manufacturing market
  • Insights into foremost market players, Porter’s Five Analysis, and top winning business strategies is provided
  • Growth tactics and initiatives taken by the top market players are outlined to understand the competitive scenario and strength of the market

KEY MARKET SEGMENTS

The report segments the global market into industry ,technology ,application and region.

  • Industry: Automobile, Energy and Power, Pharmaceuticals, Heavy Metals and Machine Manufacturing, Semiconductors and Electronics, Food & Beverages, Others
  • Technology: Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision
  • Application: Predictive Maintenance and Machinery Inspection, Material Movement, Production Planning, Field Services, Quality Control, Cyber security, Industrial Robots, Reclamation

Regionally, the report evaluates the global market across North America, Europe, Asia Pacific, and LAMEA.

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Spain
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • Japan
    • China
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • Argentina
    • Saudi Arabia
    • South Africa
    • UAE
    • Rest of LAMEA

KEY MARKET PLAYERS

The global artificial intelligence (ai) in manufacturing market is consolidated with the presence of large number of key players. These players are increasingly focusing on innovation, geographical expansion of product portfolios, and novel developments to obtain a competitive edge in the market space. The report summarizes various aspects of all these key players including financial performance, product portfolio, recent strategic moves & developments, and SWOT analysis.

Players in global artificial intelligence (ai) in manufacturing market include:

    1. NVIDIA Corporation (US)

    2. IBM Corporation (US)

    3. Alphabet Inc. (Google) (US)

    4. Microsoft Corporation (US)

    5. Intel Corporation (US)

    6. Siemens AG (Germany)

    7. General Electric Company (US)

    8. General Vision Inc. (US)

    9. Progress Software Corporation (US)

    10. Micron Technology Inc.

    11. (US)

    12. Mitsubishi Electric Corporation (Japan)

    13. Sight Machine (US)

    14. Cisco Systems Inc.

    15. (US)

    16. SAP SE (Germany)

    17. Rockwell Automation Inc. (US)

    18. AIBrain Inc. (US)

    19. Vicarious Inc. (US)

    20. Oracle Corporation (US)

    21. Amazon Web Services (US)

    22. SparkCognition Inc. (US)

    23. Rethink Robotics (Germany)

    24. UBTECH Robotics Corp. (China)

    25. Aquant Inc. (Israel)

    26. Bright Machines (US)

    27. and Flutura Decision Sciences & Analytics (India).

  • 1. RESEARCH METHODOLOGY

    • 1.1. Desk Research

    • 1.2. Real time insights and validation

    • 1.3. Forecast model

    • 1.4. Assumptions and forecast parameters

    • 1.5. Market size estimation

      • 1.5.1. Top-down approach

      • 1.5.2. Bottom-up approach

  • 2. REPORT SCOPE

    • 2.1. Market definition

    • 2.2. Key objectives of the study

    • 2.3. Report overview

    • 2.4. Market segmentation

    • 2.5. Overview of the impact of COVID-19 on Global Artificial Intelligence (AI) in Manufacturing Market

  • 3. EXECUTIVE SUMMARY

  • 4. MARKET OVERVIEW

    • 4.1. Introduction

    • 4.2. Growth impact forces

      • 4.2.1. Drivers

      • 4.2.2. Restraints

      • 4.2.3. Opportunities

    • 4.3. Market value chain analysis

      • 4.3.1. List of raw material suppliers

      • 4.3.2. List of manufacturers

      • 4.3.3. List of distributors

    • 4.4. Innovation & sustainability matrices

      • 4.4.1. Technology matrix

      • 4.4.2. Regulatory matrix

    • 4.5. Porter’s five forces analysis

      • 4.5.1. Bargaining power of suppliers

      • 4.5.2. Bargaining power of consumers

      • 4.5.3. Threat of substitutes

      • 4.5.4. Threat of new entrants

      • 4.5.5. Competitive rivalry intensity

    • 4.6. PESTLE analysis

      • 4.6.1. Political

      • 4.6.2. Economical

      • 4.6.3. Social

      • 4.6.4. Technological

      • 4.6.5. Environmental

    • 4.7. Impact of COVID-19 on Artificial Intelligence (AI) in Manufacturing Market

      • 4.7.1. Pre-covid market scenario

      • 4.7.2. Post-covid market scenario

  • 5. Artificial Intelligence (AI) In Manufacturing Market, By Spectral Range

    • 5.1. Overview

    • 5.2 Automobile

      • 5.2.1 Definition, key trends, growth factors, and opportunities

      • 5.2.2 Market size analysis, by region, 2020-2027

      • 5.2.3 Market share analysis, by country, 2020-2027

    • 5.3 Energy and Power

      • 5.3.1 Definition, key trends, growth factors, and opportunities

      • 5.3.2 Market size analysis, by region, 2020-2027

      • 5.3.3 Market share analysis, by country, 2020-2027

    • 5.4 Pharmaceuticals

      • 5.4.1 Definition, key trends, growth factors, and opportunities

      • 5.4.2 Market size analysis, by region, 2020-2027

      • 5.4.3 Market share analysis, by country, 2020-2027

    • 5.5 Heavy Metals and Machine Manufacturing

      • 5.5.1 Definition, key trends, growth factors, and opportunities

      • 5.5.2 Market size analysis, by region, 2020-2027

      • 5.5.3 Market share analysis, by country, 2020-2027

    • 5.6 Semiconductors and Electronics

      • 5.6.1 Definition, key trends, growth factors, and opportunities

      • 5.6.2 Market size analysis, by region, 2020-2027

      • 5.6.3 Market share analysis, by country, 2020-2027

    • 5.7 Food & Beverages

      • 5.7.1 Definition, key trends, growth factors, and opportunities

      • 5.7.2 Market size analysis, by region, 2020-2027

      • 5.7.3 Market share analysis, by country, 2020-2027

    • 5.8 Others

      • 5.8.1 Definition, key trends, growth factors, and opportunities

      • 5.8.2 Market size analysis, by region, 2020-2027

      • 5.8.3 Market share analysis, by country, 2020-2027

    • 5.9 Research Dive Exclusive Insights

      • 5.9.1 Market attractiveness

      • 5.9.2 Competition heatmap

  • 6. Artificial Intelligence (AI) In Manufacturing Market, By Deployment

    • 6.1. Overview

    • 6.2 Machine Learning

      • 6.2.1 Definition, key trends, growth factors, and opportunities

      • 6.2.2 Market size analysis, by region, 2020-2027

      • 6.2.3 Market share analysis, by country, 2020-2027

    • 6.3 Natural Language Processing

      • 6.3.1 Definition, key trends, growth factors, and opportunities

      • 6.3.2 Market size analysis, by region, 2020-2027

      • 6.3.3 Market share analysis, by country, 2020-2027

    • 6.4 Context-aware Computing

      • 6.4.1 Definition, key trends, growth factors, and opportunities

      • 6.4.2 Market size analysis, by region, 2020-2027

      • 6.4.3 Market share analysis, by country, 2020-2027

    • 6.5 Computer Vision

      • 6.5.1 Definition, key trends, growth factors, and opportunities

      • 6.5.2 Market size analysis, by region, 2020-2027

      • 6.5.3 Market share analysis, by country, 2020-2027

    • 6.6 Research Dive Exclusive Insights

      • 6.6.1 Market attractiveness

      • 6.6.2 Competition heatmap

  • 7. Artificial Intelligence (AI) In Manufacturing Market, By End Use

    • 7.1. Overview

    • 7.2 Predictive Maintenance and Machinery Inspection

      • 7.2.1 Definition, key trends, growth factors, and opportunities

      • 7.2.2 Market size analysis, by region, 2020-2027

      • 7.2.3 Market share analysis, by country, 2020-2027

    • 7.3 Material Movement

      • 7.3.1 Definition, key trends, growth factors, and opportunities

      • 7.3.2 Market size analysis, by region, 2020-2027

      • 7.3.3 Market share analysis, by country, 2020-2027

    • 7.4 Production Planning

      • 7.4.1 Definition, key trends, growth factors, and opportunities

      • 7.4.2 Market size analysis, by region, 2020-2027

      • 7.4.3 Market share analysis, by country, 2020-2027

    • 7.5 Field Services

      • 7.5.1 Definition, key trends, growth factors, and opportunities

      • 7.5.2 Market size analysis, by region, 2020-2027

      • 7.5.3 Market share analysis, by country, 2020-2027

    • 7.6 Quality Control

      • 7.6.1 Definition, key trends, growth factors, and opportunities

      • 7.6.2 Market size analysis, by region, 2020-2027

      • 7.6.3 Market share analysis, by country, 2020-2027

    • 7.7 Cyber security

      • 7.7.1 Definition, key trends, growth factors, and opportunities

      • 7.7.2 Market size analysis, by region, 2020-2027

      • 7.7.3 Market share analysis, by country, 2020-2027

    • 7.8 Industrial Robots

      • 7.8.1 Definition, key trends, growth factors, and opportunities

      • 7.8.2 Market size analysis, by region, 2020-2027

      • 7.8.3 Market share analysis, by country, 2020-2027

    • 7.9 Reclamation

      • 7.9.1 Definition, key trends, growth factors, and opportunities

      • 7.9.2 Market size analysis, by region, 2020-2027

      • 7.9.3 Market share analysis, by country, 2020-2027

    • 7.10 Research Dive Exclusive Insights

      • 7.10.1 Market attractiveness

      • 7.10.2 Competition heatmap

  • 8. Artificial Intelligence (AI) In Manufacturing Market, By Region

    • 8.1 North America

      • 8.1.1 U.S

        • 8.1.1.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.1.1.2 Market size analysis, By Deployment, 2020-2027

        • 8.1.1.3 Market size analysis, By End Use, 2020-2027

      • 8.1.2 Canada

        • 8.1.2.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.1.2.2 Market size analysis, By Deployment, 2020-2027

        • 8.1.2.3 Market size analysis, By End Use, 2020-2027

      • 8.1.3 Mexico

        • 8.1.3.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.1.3.2 Market size analysis, By Deployment, 2020-2027

        • 8.1.3.3 Market size analysis, By End Use, 2020-2027

      • 8.1.4 Research Dive Exclusive Insights

        • 8.1.4.1 Market attractiveness

        • 8.1.4.2 Competition heatmap

    • 8.2 Europe

      • 8.2.1 Germany

        • 8.2.1.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.2.1.2 Market size analysis, By Deployment, 2020-2027

        • 8.2.1.3 Market size analysis, By End Use, 2020-2027

      • 8.2.2 UK

        • 8.2.2.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.2.2.2 Market size analysis, By Deployment, 2020-2027

        • 8.2.2.3 Market size analysis, By End Use, 2020-2027

      • 8.2.3 France

        • 8.2.3.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.2.3.2 Market size analysis, By Deployment, 2020-2027

        • 8.2.3.3 Market size analysis, By End Use, 2020-2027

      • 8.2.4 Spain

        • 8.2.4.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.2.4.2 Market size analysis, By Deployment, 2020-2027

        • 8.2.4.3 Market size analysis, By End Use, 2020-2027

      • 8.2.5 Italy

        • 8.2.5.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.2.5.2 Market size analysis, By Deployment, 2020-2027

        • 8.2.5.3 Market size analysis, By End Use, 2020-2027

      • 8.2.6 Rest of Europe

        • 8.2.6.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.2.6.2 Market size analysis, By Deployment, 2020-2027

        • 8.2.6.3 Market size analysis, By End Use, 2020-2027

      • 8.2.7 Research Dive Exclusive Insights

        • 8.2.7.1 Market attractiveness

        • 8.2.7.2 Competition heatmap

    • 8.3 Asia-Pacific

      • 8.3.1 China

        • 8.3.1.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.3.1.2 Market size analysis, By Deployment, 2020-2027

        • 8.3.1.3 Market size analysis, By End Use, 2020-2027

      • 8.3.2 Japan

        • 8.3.2.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.3.2.2 Market size analysis, By Deployment, 2020-2027

        • 8.3.2.3 Market size analysis, By End Use, 2020-2027

      • 8.3.3 India

        • 8.3.3.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.3.3.2 Market size analysis, By Deployment, 2020-2027

        • 8.3.3.3 Market size analysis, By End Use, 2020-2027

      • 8.3.4 Australia

        • 8.3.4.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.3.4.2 Market size analysis, By Deployment, 2020-2027

        • 8.3.4.3 Market size analysis, By End Use, 2020-2027

      • 8.3.5 South Korea

        • 8.3.5.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.3.5.2 Market size analysis, By Deployment, 2020-2027

        • 8.3.5.3 Market size analysis, By End Use, 2020-2027

      • 8.3.6 Rest of Asia-Pacific

        • 8.3.6.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.3.6.2 Market size analysis, By Deployment, 2020-2027

        • 8.3.6.3 Market size analysis, By End Use, 2020-2027

      • 8.3.7 Research Dive Exclusive Insights

        • 8.3.7.1 Market attractiveness

        • 8.3.7.2 Competition heatmap

    • 8.4 LAMEA

      • 8.4.1 Brazil

        • 8.4.1.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.4.1.2 Market size analysis, By Deployment, 2020-2027

        • 8.4.1.3 Market size analysis, By End Use, 2020-2027

      • 8.4.2 Saudi Arabia

        • 8.4.2.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.4.2.2 Market size analysis, By Deployment, 2020-2027

        • 8.4.2.3 Market size analysis, By End Use, 2020-2027

      • 8.4.3 UAE

        • 8.4.3.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.4.3.2 Market size analysis, By Deployment, 2020-2027

        • 8.4.3.3 Market size analysis, By End Use, 2020-2027

      • 8.4.4 South Africa

        • 8.4.4.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.4.4.2 Market size analysis, By Deployment, 2020-2027

        • 8.4.4.3 Market size analysis, By End Use, 2020-2027

      • 8.4.5 Rest of LAMEA

        • 8.4.5.1 Market size analysis, By Spectral Range, 2020-2027

        • 8.4.5.2 Market size analysis, By Deployment, 2020-2027

        • 8.4.5.3 Market size analysis, By End Use, 2020-2027

      • 8.4.6 Research Dive Exclusive Insights

        • 8.4.6.1 Market attractiveness

        • 8.4.6.2 Competition heatmap

  • 9. Competitive Landscape

    • 9.1 Top winning strategies, 2020-2027

      • 9.1.1 By strategy

      • 9.1.2 By year

    • 9.2 Strategic overview

    • 9.3 Market share analysis, 2020-2027

  • 10. Company Profiles

    • 10.1 NVIDIA Corporation (US)

      • 10.1.1 Overview

      • 10.1.2 Business segments

      • 10.1.3 Product portfolio

      • 10.1.4 Financial performance

      • 10.1.5 Recent developments

      • 10.1.6 SWOT analysis

    • 10.2 IBM Corporation (US)

      • 10.2.1 Overview

      • 10.2.2 Business segments

      • 10.2.3 Product portfolio

      • 10.2.4 Financial performance

      • 10.2.5 Recent developments

      • 10.2.6 SWOT analysis

    • 10.3 Alphabet Inc. (Google) (US)

      • 10.3.1 Overview

      • 10.3.2 Business segments

      • 10.3.3 Product portfolio

      • 10.3.4 Financial performance

      • 10.3.5 Recent developments

      • 10.3.6 SWOT analysis

    • 10.4 Microsoft Corporation (US)

      • 10.4.1 Overview

      • 10.4.2 Business segments

      • 10.4.3 Product portfolio

      • 10.4.4 Financial performance

      • 10.4.5 Recent developments

      • 10.4.6 SWOT analysis

    • 10.5 Intel Corporation (US)

      • 10.5.1 Overview

      • 10.5.2 Business segments

      • 10.5.3 Product portfolio

      • 10.5.4 Financial performance

      • 10.5.5 Recent developments

      • 10.5.6 SWOT analysis

    • 10.6 Siemens AG (Germany)

      • 10.6.1 Overview

      • 10.6.2 Business segments

      • 10.6.3 Product portfolio

      • 10.6.4 Financial performance

      • 10.6.5 Recent developments

      • 10.6.6 SWOT analysis

    • 10.7 General Electric Company (US)

      • 10.7.1 Overview

      • 10.7.2 Business segments

      • 10.7.3 Product portfolio

      • 10.7.4 Financial performance

      • 10.7.5 Recent developments

      • 10.7.6 SWOT analysis

    • 10.8 General Vision Inc. (US)

      • 10.8.1 Overview

      • 10.8.2 Business segments

      • 10.8.3 Product portfolio

      • 10.8.4 Financial performance

      • 10.8.5 Recent developments

      • 10.8.6 SWOT analysis

    • 10.9 Progress Software Corporation (US)

      • 10.9.1 Overview

      • 10.9.2 Business segments

      • 10.9.3 Product portfolio

      • 10.9.4 Financial performance

      • 10.9.5 Recent developments

      • 10.9.6 SWOT analysis

    • 10.10 Micron Technology Inc.

      • 10.10.1 Overview

      • 10.10.2 Business segments

      • 10.10.3 Product portfolio

      • 10.10.4 Financial performance

      • 10.10.5 Recent developments

      • 10.10.6 SWOT analysis

    • 10.11 (US)

      • 10.11.1 Overview

      • 10.11.2 Business segments

      • 10.11.3 Product portfolio

      • 10.11.4 Financial performance

      • 10.11.5 Recent developments

      • 10.11.6 SWOT analysis

    • 10.12 Mitsubishi Electric Corporation (Japan)

      • 10.12.1 Overview

      • 10.12.2 Business segments

      • 10.12.3 Product portfolio

      • 10.12.4 Financial performance

      • 10.12.5 Recent developments

      • 10.12.6 SWOT analysis

    • 10.13 Sight Machine (US)

      • 10.13.1 Overview

      • 10.13.2 Business segments

      • 10.13.3 Product portfolio

      • 10.13.4 Financial performance

      • 10.13.5 Recent developments

      • 10.13.6 SWOT analysis

    • 10.14 Cisco Systems Inc.

      • 10.14.1 Overview

      • 10.14.2 Business segments

      • 10.14.3 Product portfolio

      • 10.14.4 Financial performance

      • 10.14.5 Recent developments

      • 10.14.6 SWOT analysis

    • 10.15 (US)

      • 10.15.1 Overview

      • 10.15.2 Business segments

      • 10.15.3 Product portfolio

      • 10.15.4 Financial performance

      • 10.15.5 Recent developments

      • 10.15.6 SWOT analysis

    • 10.16 SAP SE (Germany)

      • 10.16.1 Overview

      • 10.16.2 Business segments

      • 10.16.3 Product portfolio

      • 10.16.4 Financial performance

      • 10.16.5 Recent developments

      • 10.16.6 SWOT analysis

    • 10.17 Rockwell Automation Inc. (US)

      • 10.17.1 Overview

      • 10.17.2 Business segments

      • 10.17.3 Product portfolio

      • 10.17.4 Financial performance

      • 10.17.5 Recent developments

      • 10.17.6 SWOT analysis

    • 10.18 AIBrain Inc. (US)

      • 10.18.1 Overview

      • 10.18.2 Business segments

      • 10.18.3 Product portfolio

      • 10.18.4 Financial performance

      • 10.18.5 Recent developments

      • 10.18.6 SWOT analysis

    • 10.19 Vicarious Inc. (US)

      • 10.19.1 Overview

      • 10.19.2 Business segments

      • 10.19.3 Product portfolio

      • 10.19.4 Financial performance

      • 10.19.5 Recent developments

      • 10.19.6 SWOT analysis

    • 10.20 Oracle Corporation (US)

      • 10.20.1 Overview

      • 10.20.2 Business segments

      • 10.20.3 Product portfolio

      • 10.20.4 Financial performance

      • 10.20.5 Recent developments

      • 10.20.6 SWOT analysis

    • 10.21 Amazon Web Services (US)

      • 10.21.1 Overview

      • 10.21.2 Business segments

      • 10.21.3 Product portfolio

      • 10.21.4 Financial performance

      • 10.21.5 Recent developments

      • 10.21.6 SWOT analysis

    • 10.22 SparkCognition Inc. (US)

      • 10.22.1 Overview

      • 10.22.2 Business segments

      • 10.22.3 Product portfolio

      • 10.22.4 Financial performance

      • 10.22.5 Recent developments

      • 10.22.6 SWOT analysis

    • 10.23 Rethink Robotics (Germany)

      • 10.23.1 Overview

      • 10.23.2 Business segments

      • 10.23.3 Product portfolio

      • 10.23.4 Financial performance

      • 10.23.5 Recent developments

      • 10.23.6 SWOT analysis

    • 10.24 UBTECH Robotics Corp. (China)

      • 10.24.1 Overview

      • 10.24.2 Business segments

      • 10.24.3 Product portfolio

      • 10.24.4 Financial performance

      • 10.24.5 Recent developments

      • 10.24.6 SWOT analysis

    • 10.25 Aquant Inc. (Israel)

      • 10.25.1 Overview

      • 10.25.2 Business segments

      • 10.25.3 Product portfolio

      • 10.25.4 Financial performance

      • 10.25.5 Recent developments

      • 10.25.6 SWOT analysis

    • 10.26 Bright Machines (US)

      • 10.26.1 Overview

      • 10.26.2 Business segments

      • 10.26.3 Product portfolio

      • 10.26.4 Financial performance

      • 10.26.5 Recent developments

      • 10.26.6 SWOT analysis

    • 10.27 and Flutura Decision Sciences & Analytics (India).

      • 10.27.1 Overview

      • 10.27.2 Business segments

      • 10.27.3 Product portfolio

      • 10.27.4 Financial performance

      • 10.27.5 Recent developments

      • 10.27.6 SWOT analysis

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