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1433462

コグニティブ・サプライチェーンの世界市場：2023-2030年

Global Cognitive Supply Chain Market 2023-2030
出版日: | 発行: Orion Market Research | ページ情報: 英文 175 Pages | 納期: 2～3営業日

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価格
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本日の銀行送金レート: 1USD=156.76円
コグニティブ・サプライチェーンの世界市場：2023-2030年
出版日: 2024年01月16日
発行: Orion Market Research
ページ情報: 英文 175 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界のコグニティブサプライチェーン市場は、予測期間中（2023-2030年）に17.9%の大幅なCAGRで成長すると予測されます。市場競争の激化とサプライチェーンシステムの複雑化に伴い、企業はクラウドコンピューティング、AI/ML、IoTなどの先進技術を採用し、業務効率の向上とコスト削減を図っています。さらに、COVID-19と地政学的緊張の高まりが世界のロジスティクスとサプライチェーンのエコシステムを混乱させ、課題を処理するためにハイテク主導のサプライチェーン管理ソリューションを採用するよう組織を後押ししています。

セグメント別展望

製造業が世界のコグニティブサプライチェーン産業に最も貢献

コグニティブサプライチェーン・ソリューションは、業務効率の最適化、コスト削減、サプライチェーン全体のパフォーマンス向上を実現するため、製造業で需要が拡大しています。製造業は世界経済に大きく貢献しています。世界貿易機関（WTO）によると、2020年の世界の商品輸出に占める製造品貿易の割合は71.0％で、総額17兆米ドルのうち12兆1,000億米ドルに相当します。また、世界の国内総生産（GDP）の17.0％を占めています。地政学的緊張の高まりやCOVID-19による世界・サプライチェーンの混乱により、このセクターは大きな損失を被っています。AI/MLなどの高度な技術ソリューションは、情報に基づいた意思決定のためのリアルタイムのデータ分析、需要予測、在庫管理、生産計画の改善を可能にし、メーカーが市場の変化に迅速に対応できるようにします。さらに、コグニティブサプライチェーン技術は予知保全をサポートし、ダウンタイムを最小限に抑え、機器の寿命を延ばします。インテリジェント・システムの統合は、製造現場の複雑化と相互接続性を考慮し、利害関係者間のコラボレーションとコミュニケーションを増加させる。

地域別展望

世界のコグニティブサプライチェーン市場は、北米（米国、カナダ）、欧州（英国、イタリア、スペイン、ドイツ、フランス、その他欧州地域）、アジア太平洋地域（インド、中国、日本、韓国、その他アジア地域）、世界のその他の地域（中東とアフリカ、ラテンアメリカ）を含む地域別にさらに区分されます。地域別では、欧州市場が世界のコグニティブサプライチェーン産業に大きく貢献すると予想されています。これは、主に、この地域が世界のエンドユーザー産業で大きなシェアを占めていること、急速な技術進歩、IBM、SAPなどの主要市場企業の存在によるものです。

アジア太平洋地域は世界のコグニティブサプライチェーン市場で最も高いCAGRを示すと予測される

アジア太平洋地域は、AI/ML、IoTなどの先端技術の採用率の増加とともに、エンドユーザー産業の大きな存在感、市場プレイヤーの存在、地域貿易活動の拡大などの要因により、最も高いCAGRを示すと予測されます。ITAによると、アジア太平洋地域は世界のeコマース市場の78.9％を占めています。さらに、サプライチェーンの改善や製品提供の拡大を目的とした同地域の主要経済圏による政府支援の拡大も、市場全体を牽引しています。例えば、2023年2月、XPDEL社はインドで俊敏でスケーラブルな配送ソリューションを発売しました。また、2022年11月には、グルグラムを拠点とするサプライチェーン・ソリューション企業の3SC Solutions社が、SCAIサプライチェーン・プランニング＆エグゼキューション・プラットフォームの発売を発表しました。同社によると、同プラットフォームはデータ分析を利用して複数の部門からのデータを組み合わせ、企業の計画上の問題や機会に対処します。

目次

第1章 レポート概要

  • 業界の現状分析と成長可能性の展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • Accenture plc
    • 概要
    • 財務分析
    • SWOT分析
  • Amazon.com, Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Blue Yonder Group, Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • C.H. Robinson Worldwide, Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • コグニティブサプライチェーンの世界市場：技術別
    • 人工知能（AI）/機械学習（ML）
    • モノのインターネット（IoT）
    • その他（自然言語処理（NLP）、ブロックチェーン）
  • コグニティブサプライチェーンの世界市場：展開別
    • クラウド
    • オンプレミス
  • コグニティブサプライチェーンの世界市場：エンドユーザー産業別
    • 製造業
    • 小売・eコマース
    • 物流・運輸
    • ヘルスケア
    • 飲食品
    • その他（自動車、エネルギー）

第5章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 世界のその他の地域

第6章 企業プロファイル

  • American Software, Inc.
  • Coupa Software Inc.（part of Thoma Bravo）
  • Dassault Systemes
  • Descartes Systems Group Inc.
  • Honeywell International Inc.
  • IBM Corporation
  • Infor
  • Intel Corporation
  • Kinaxis Inc.
  • Manhattan Associates, Inc.
  • Microsoft Corp.
  • NVIDIA Corp.
  • Oracle Corp.
  • Panasonic Corp.
  • Relex Solutions
  • Rockwell Automation, Inc.
  • SAP SE
  • SAS Institute Inc.
  • Savi Technology, Inc.（part of Lockheed Martin）
図表

LIST OF TABLES

  • 1. GLOBAL COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 2. GLOBAL AI/ML BASEDCOGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 3. GLOBAL IOT BASEDCOGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL OTHER TECHNOLOGIES BASED COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 5. GLOBAL COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 6. GLOBAL CLOUD DEPLOYMENT BASEDCOGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 7. GLOBAL ON-PREMISE DEPLOYMENT BASEDCOGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 8. GLOBAL COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER INDUSTRY, 2022-2030 ($ MILLION)
  • 9. GLOBAL COGNITIVE SUPPLY CHAIN IN MANUFACTURING MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 10. GLOBAL COGNITIVE SUPPLY CHAIN IN RETAIL & E-COMMERCE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. GLOBAL COGNITIVE SUPPLY CHAIN IN LOGISTICS AND TRANSPORTATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 12. GLOBAL COGNITIVE SUPPLY CHAIN IN HEALTHCARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 13. GLOBAL COGNITIVE SUPPLY CHAIN IN FOOD AND BEVERAGE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 14. GLOBAL COGNITIVE SUPPLY CHAIN IN OTHER END-USERS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 15. GLOBAL COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 16. NORTH AMERICAN COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 17. NORTH AMERICAN COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 18. NORTH AMERICAN COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 19. NORTH AMERICAN COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER INDUSTRY, 2022-2030 ($ MILLION)
  • 20. EUROPEAN COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 21. EUROPEAN COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 22. EUROPEAN COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 23. EUROPEAN COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER INDUSTRY, 2022-2030 ($ MILLION)
  • 24. ASIA-PACIFIC COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 25. ASIA-PACIFICCOGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 26. ASIA-PACIFICCOGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 27. ASIA-PACIFICCOGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER INDUSTRY, 2022-2030 ($ MILLION)
  • 28. REST OF THE WORLD COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 29. REST OF THE WORLD COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 30. REST OF THE WORLD COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 31. REST OF THE WORLD COGNITIVE SUPPLY CHAIN MARKET RESEARCH AND ANALYSIS BY END-USER INDUSTRY, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL COGNITIVE SUPPLY CHAIN MARKETSHARE BY TECHNOLOGY, 2022 VS 2030 (%)
  • 2. GLOBAL AI/ML BASED COGNITIVE SUPPLY CHAIN MARKETSHARE BY REGION, 2022 VS 2030 (%)
  • 3. GLOBAL IOT BASED CATALYTIC MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL OTHER TECHNOLOGY BASED CATALYTIC MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 5. GLOBAL COGNITIVE SUPPLY CHAIN MARKET SHAREBY DEPLOYMENT, 2022 VS 2030 (%)
  • 6. GLOBAL CLOUD BASED COGNITIVE SUPPLY CHAIN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 7. GLOBAL ON-PREMISE DEPLOYMENT BASED COGNITIVE SUPPLY CHAIN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 8. GLOBAL COGNITIVE SUPPLY CHAIN MARKET SHAREBY END-USER INDUSTRY, 2022 VS 2030 (%)
  • 9. GLOBAL COGNITIVE SUPPLY CHAIN IN MANUFACTURINGMARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 10. GLOBAL COGNITIVE SUPPLY CHAIN IN RETAIL & E-COMMERCE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL COGNITIVE SUPPLY CHAIN IN LOGISTICS AND TRANSPORTATION MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 12. GLOBAL COGNITIVE SUPPLY CHAIN IN HEALTHCAREMARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 13. GLOBAL COGNITIVE SUPPLY CHAIN IN FOOD AND BEVERAGE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 14. GLOBAL OTHER END-USER BASED COGNITIVE SUPPLY CHAIN MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 15. GLOBAL COGNITIVE SUPPLY CHAIN MARKETSHARE BY REGION, 2022 VS 2030 (%)
  • 16. US COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 17. CANADA COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 18. UK COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 19. FRANCE COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 20. GERMANY COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 21. ITALY COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. SPAIN COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. REST OF EUROPE COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. INDIA COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 25. CHINA COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 26. JAPAN COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 27. SOUTH KOREA COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 28. REST OF ASIA-PACIFIC COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
  • 29. REST OF THEWORLD COGNITIVE SUPPLY CHAIN MARKET SIZE, 2022-2030 ($ MILLION)
目次
Product Code: OMR2028049

Global Cognitive Supply Chain Market Size, Share & Trends Analysis Report by Technology (Artificial Intelligence (AI)/Machine Learning (ML), Internet of Things (IoT), Others(Natural Language Processing (NLP), Blockchain)), by Deployment (Cloud and On-premise) and by End-User Industry (Manufacturing, Retail & E-commerce, Logistics and Transportation, Healthcare, Food and Beverage and Others (Automotive, Energy)) Forecast Period (2023-2030)

The global cognitive supply chain market is anticipated to grow at a significant CAGR of 17.9% during the forecast period (2023-2030). With a growing competitive market and the complexity of supply chain systems, organizations are adopting advanced technologies such as cloud computing, AI/ML, and IoT to improve operational efficiency and cost reduction. Additionally, COVID-19 and rising geopolitical tensions disrupted the global logistics and supply chain ecosystem, pushing organizations to embrace tech-led supply chain management solutions to handle the challenges.

Segmental Outlook

The global cognitive supply chain market is segmented by technology, deployment, and end-user industry. By technology, the market is sub-segmented into AI/ML, IoT, and other technologies such as NLP and blockchain. By deployment, the market is sub-segmented into cloud and on-premises deployment. By end-user industry, the market is sub-segmented into manufacturing, retail and E-commerce, logistics and transportation, healthcare, food and beverage, and other industries such as automotive and energy industry. Among the end-users, the demand for the cognitive supply chain market is expected to grow in the retail and e-commerce sectors. According to the International Trade Administration (ITA), the global B2B e-commerce market is expected to grow at a 14.5% compound annual growth rate (CAGR)at a market value of $36 trillion till 2026. Additionally, the B2C e-commerce market revenue is expected to grow to $5.5 trillion by 2027 at a 14.4% CAGR. With the growing competitive environment in the global retail and e-commerce sector and disruption in global supply chain ecosystems, market players are focusing on the inclusion of technologies in supply chain management.

Global E-commerce market size, $ trillion

Source: International Trade Administration (ITA)

 

Manufacturing Industry Contributes the Highest to the Global Cognitive Supply Chain Industry

Globally, the demand for cognitive supply chain solutions is growing in the manufacturing industry due to their ability to optimize operational efficiency, reduce costs, and enhance overall supply chain performance. The manufacturing sector collectively contributes significantly to the global economy. According to the World Trade Organization (WTO), trade in manufactured goods represented 71.0% of world merchandise exports in 2020, equal to $12.1 trillion out of a total of $17 trillion. It also represents 17.0% of the global gross domestic product (GDP). The sector has suffered significant losses due to rising geopolitical tensions and Covid-19 disrupting the global supply chain. Advanced technological solutions such as AI/ML enable real-time data analysis for informed decision-making, improved demand forecasting, inventory management, and production planning, allowing manufacturers to respond swiftly to market changes. Additionally, cognitive supply chain technologies support predictive maintenance, minimizing downtime and extending equipment lifespan. The integration of intelligent systems increases collaboration and communication among stakeholders, considering the growing complexity and interconnectivity of the manufacturing landscape.

Regional Outlook

The global cognitive supply chain market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). Among regions, the European market is expected to contribute significantly to the global cognitive supply chain industry mainly due to the region's significant share of global end-user industries, rapid technological advancements, and the presence of key market players such as IBM, and SAP among others.

The Asia-Pacific is Anticipated to Exibit Highest CAGR in the Global Cognitive Supply Chain Market

Asia-Pacific is anticipated to exhibit highest CAGR owing to factors such as the significant presence of end-user industries, the presence of market players, growing regional trade activities, along with growing adoption rate of advanced technologies such as AI/ML, and IoT among others. According to the ITA, Asia Pacific accounted for 78.9% of the global e-commerce market. Additionally, growing government support from major economies in the region to improve the supply chain and growing product offerings is also driving the overall market. For instance, in February 2023, XPDEL launched an agile and scalable shipping solution in India. Also, in November 2022, Gurugram-based supply chain solutions company 3SC Solutions announced the launch of the SCAI supply chain planning and execution platform. According to the company, the platform uses data analytics to combine data from multiple departments to address planning issues and opportunities for enterprises.

Market Players Outlook

The major companies serving the global cognitive supply chain market are Descartes Systems Group Inc., Honeywell International Inc., IBM Corp., Infor, and Intel Corp. among others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaboration, mergers, and acquisitions to stay competitive. For instance, in October 2023, Tools Group announced the acquisition of Evo, a provider of AI/ ML solutions tailored to enhance business performance. This strategic integration blends Evo's agile AI solutions with Tools Group's offerings, resulting in real-time supply chain and price optimization solutions for customers.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the cognitive supply chain market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Accenture plc
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
  • 3.3. Amazon.com, Inc.
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. Blue Yonder Group, Inc.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. C.H. Robinson Worldwide, Inc.
    • 3.5.1. Overview
    • 3.5.2. Financial Analysis
    • 3.5.3. SWOT Analysis
    • 3.5.4. Recent Developments
  • 3.6. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global Cognitive Supply Chain Market By Technology
    • 4.1.1. Artificial Intelligence (AI)/Machine Learning (ML)
    • 4.1.2. Internet of Things (IoT)
    • 4.1.3. Others (Natural Language Processing (NLP), blockchain)
  • 4.2. Global Cognitive Supply Chain Market By Deployment
    • 4.2.1. Cloud
    • 4.2.2. On-premises
  • 4.3. Global Cognitive Supply Chain Market By End-User Industry
    • 4.3.1. Manufacturing
    • 4.3.2. Retail & E-commerce
    • 4.3.3. Logistics and Transportation
    • 4.3.4. Healthcare
    • 4.3.5. Food and Beverage
    • 4.3.6. Others (automotive, energy)

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. American Software, Inc.
  • 6.2. Coupa Software Inc. (part of Thoma Bravo)
  • 6.3. Dassault Systemes
  • 6.4. Descartes Systems Group Inc.
  • 6.5. Honeywell International Inc.
  • 6.6. IBM Corporation
  • 6.7. Infor
  • 6.8. Intel Corporation
  • 6.9. Kinaxis Inc.
  • 6.10. Manhattan Associates, Inc.
  • 6.11. Microsoft Corp.
  • 6.12. NVIDIA Corp.
  • 6.13. Oracle Corp.
  • 6.14. Panasonic Corp.
  • 6.15. Relex Solutions
  • 6.16. Rockwell Automation, Inc.
  • 6.17. SAP SE
  • 6.18. SAS Institute Inc.
  • 6.19. Savi Technology, Inc. (part of Lockheed Martin)