自動車用データ管理の世界市場規模調査＆予測：データタイプ別、ソフトウェアタイプ別、地域別分析、2023-2030年

世界の自動車用データ管理市場は、2022年に約10億8,000万米ドルと評価され、予測期間2023-2030年には20%以上の複合年間成長率で成長すると予測されています。

自動車用データ管理システムとは、自動車業界で生成される様々な種類のデータを収集、保存、分析するために設計された包括的なソフトウェアまたはハードウェアソリューションのことです。自動車用データ管理システムは、自動車、顧客、業務、その他自動車エコシステムに関連する大量のデータを管理・整理するのに役立つ高度なシステムです。自動化されたデータ管理システムの主な目的は、効率的かつ効果的なデータ処理を可能にし、分析、意思決定、意思決定、運用の目的で情報がすぐに利用できるようにすることです。このシステムは、車両センサー、製造プロセス、サプライチェーンシステム、顧客とのやり取りなど、複数のソースからのデータの統合を容易にします。さらに、自動車産業の成長と自動車用データ管理におけるIoT利用の増加が、世界の自動車用データ管理市場の成長要因になると予想されます。

2021年のIndia Brand Equity Foundation（IBEF）によると、インドの乗用車市場は327億米ドルと評価され、2027年までに548億4,000万米ドルの成長が見込まれています。2021年のStatistaによると、稼働中のコネクテッドカーの数は2億3,700万台で、2025年には4億台を超えると予想されています。過去数十年にわたり、自動車への電子機器の統合が進み、自動車産業は内部および外部でデータを監視・記録する高度な機能を有しています。しかし、限られた接続性と規制・法令遵守が、世界の自動車用データ管理市場の成長を妨げる可能性があります。さらに、生活水準の向上と可処分所得の増加が市場の成長機会として浮上しています。

自動車用データ管理の世界市場調査において考慮した主な地域は、アジア太平洋、北米、欧州、ラテンアメリカ、中東・アフリカです。欧州地域は、先端技術の早期適応や自動車産業の進歩などの要因により、2022年の市場を独占しました。

本調査の目的は、近年の様々なセグメントと国の市場規模を明らかにし、今後数年間の市場規模を予測することです。本レポートは、調査対象国における自動車産業の質的・量的側面を盛り込んだ内容となっています。

また、市場の将来的な成長を規定する促進要因や課題などの重要な側面に関する詳細情報も提供しています。さらに、主要企業の競合情勢や製品提供の詳細な分析とともに、利害関係者が投資するためのミクロ市場における潜在的な機会も組み込んでいます。

目次

第1章 エグゼクティブサマリー

• 市場スナップショット
• 世界市場・セグメント別市場推計・予測、2020-2030年
  • 自動車用データ管理市場：地域別、2020-2030年
  • 自動車用データ管理市場：データタイプ別、2020-2030年
  • 自動車用データ管理市場：ソフトウェアタイプ別、2020-2030年
• 主要動向
• 調査手法
• 調査前提条件

第2章 世界の自動車用データ管理市場の定義と範囲

• 調査目的
• 市場の定義と範囲
  • 業界の進化
  • 調査範囲
• 調査対象年
• 通貨換算レート

第3章 自動車用データ管理の世界市場力学

• 自動車用データ管理市場の影響分析（2020-2030年）
  • 市場促進要因
    • 成長する自動車産業
    • IoT自動車用データ管理の利用増加
  • 市場の課題
    • 限られたコネクティビティ
    • 規制と法的コンプライアンス
  • 市場機会
    • 生活水準の向上
    • 可処分所得の増加

第4章 世界の自動車用データ管理市場：産業分析

• ポーターの5フォースモデル
  • 供給企業の交渉力
  • 買い手の交渉力
  • 新規参入業者の脅威
  • 代替品の脅威
  • 競争企業間の敵対関係
• ポーターの5フォース影響分析
• PEST分析
  • 政治的
  • 経済
  • 社会
  • 技術
  • 環境
  • 法律
• 主な投資機会
• 主要成功戦略
• COVID-19影響分析
• 破壊的動向
• 業界専門家の視点
• アナリストの結論・提言

第5章 自動車用データ管理の世界市場：データタイプ別

• 市場スナップショット
• 自動車用データ管理の世界市場：データタイプ別、実績 - ポテンシャル分析
• 自動車用データ管理の世界市場：データタイプ別、2020年～2030年推定・予測
• 自動車用データ管理市場、サブセグメント別分析
  • 非構造化
  • 半構造化・構造化

第6章 自動車用データ管理の世界市場：ソフトウェアタイプ別

• 市場スナップショット
• 自動車用データ管理の世界市場：ソフトウェアタイプ別、業績-潜在能力分析
• 自動車用データ管理の世界市場：ソフトウェアタイプ別、2020年～2030年推定・予測
• 自動車用データ管理市場、サブセグメント別分析
  • データセキュリティ
  • データ統合
  • データ移行
  • データ品質

第7章 自動車用データ管理の世界市場：地域別分析

• 主要国
• 主な新興国
• 自動車用データ管理市場：地域別市場スナップショット
• 北米
  • 米国
    • データタイプの推定・予測、2020-2030年
    • ソフトウェアタイプの推定・予測、2020-2030年
  • カナダ
• 欧州の自動車用データ管理市場スナップショット
  • 英国
  • ドイツ
  • フランス
  • スペイン
  • イタリア
  • その他欧州
• アジア太平洋の自動車用データ管理市場スナップショット
  • 中国
  • インド
  • 日本
  • オーストラリア
  • 韓国
  • その他アジア太平洋地域
• ラテンアメリカの自動車用データ管理市場スナップショット
  • ブラジル
  • メキシコ
• 中東・アフリカ
  • サウジアラビア
  • 南アフリカ
  • その他中東とアフリカ

第8章 競合情報

• 主要企業のSWOT分析
• 主要市場戦略
• 企業プロファイル
  • Acreta Analytics Solutions Inc.
    • 主要情報
    • 概要
    • 財務（データの入手可能性によります）
    • 製品概要
    • 最近の動向
  • Amazon Web Services Inc.
  • Amodo
  • Caruso gmbh
  • ETL Solutions Ltd.
  • HEAVY.AI
  • International Business Machines Corporation
  • National Instruments Corporation
  • SAP SE
  • Teradata Corporation

第9章 調査プロセス

• 調査プロセス
  • データマイニング
  • 分析
  • 市場推定
  • 検証
  • 出版
• 調査属性
• 調査前提条件

LIST OF TABLES

• TABLE 1. Global Automotive Data Management Market, report scope
• TABLE 2. Global Automotive Data Management Market estimates & forecasts by Region 2020-2030 (USD Billion)
• TABLE 3. Global Automotive Data Management Market estimates & forecasts by Data Type 2020-2030 (USD Billion)
• TABLE 4. Global Automotive Data Management Market estimates & forecasts by Software Type 2020-2030 (USD Billion)
• TABLE 5. Global Automotive Data Management Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 6. Global Automotive Data Management Market by region, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 7. Global Automotive Data Management Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 8. Global Automotive Data Management Market by region, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 9. Global Automotive Data Management Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 10. Global Automotive Data Management Market by region, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 11. Global Automotive Data Management Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 12. Global Automotive Data Management Market by region, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 13. Global Automotive Data Management Market by segment, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 14. Global Automotive Data Management Market by region, estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 15. U.S. Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 16. U.S. Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 17. U.S. Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 18. Canada Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 19. Canada Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 20. Canada Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 21. UK Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 22. UK Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 23. UK Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 24. Germany Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 25. Germany Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 26. Germany Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 27. France Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 28. France Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 29. France Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 30. Italy Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 31. Italy Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 32. Italy Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 33. Spain Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 34. Spain Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 35. Spain Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 36. RoE Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 37. RoE Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 38. RoE Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 39. China Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 40. China Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 41. China Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 42. India Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 43. India Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 44. India Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 45. Japan Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 46. Japan Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 47. Japan Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 48. South Korea Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 49. South Korea Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 50. South Korea Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 51. Australia Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 52. Australia Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 53. Australia Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 54. RoAPAC Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 55. RoAPAC Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 56. RoAPAC Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 57. Brazil Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 58. Brazil Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 59. Brazil Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 60. Mexico Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 61. Mexico Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 62. Mexico Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 63. RoLA Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 64. RoLA Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 65. RoLA Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 66. Saudi Arabia Automotive Data Management Market estimates & forecasts, 2020-2030 (USD Billion)
• TABLE 67. South Africa Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 68. RoMEA Automotive Data Management Market estimates & forecasts by segment 2020-2030 (USD Billion)
• TABLE 69. List of secondary sources, used in the study of global Automotive Data Management Market
• TABLE 70. List of primary sources, used in the study of global Automotive Data Management Market
• TABLE 71. Years considered for the study
• TABLE 72. Exchange rates considered

List of tables and figures are dummy in nature, final lists may vary in the final deliverable

LIST OF FIGURES

• FIG 1. Global Automotive Data Management Market, research methodology
• FIG 2. Global Automotive Data Management Market, Market estimation techniques
• FIG 3. Global Market size estimates & forecast methods
• FIG 4. Global Automotive Data Management Market, key trends 2022
• FIG 5. Global Automotive Data Management Market, growth prospects 2023-2030
• FIG 6. Global Automotive Data Management Market, porters 5 force model
• FIG 7. Global Automotive Data Management Market, pest analysis
• FIG 8. Global Automotive Data Management Market, value chain analysis
• FIG 9. Global Automotive Data Management Market by segment, 2020 & 2030 (USD Billion)
• FIG 10. Global Automotive Data Management Market by segment, 2020 & 2030 (USD Billion)
• FIG 11. Global Automotive Data Management Market by segment, 2020 & 2030 (USD Billion)
• FIG 12. Global Automotive Data Management Market by segment, 2020 & 2030 (USD Billion)
• FIG 13. Global Automotive Data Management Market by segment, 2020 & 2030 (USD Billion)
• FIG 14. Global Automotive Data Management Market, regional snapshot 2020 & 2030
• FIG 15. North America Automotive Data Management Market 2020 & 2030 (USD Billion)
• FIG 16. Europe Automotive Data Management Market 2020 & 2030 (USD Billion)
• FIG 17. Asia pacific Automotive Data Management Market 2020 & 2030 (USD Billion)
• FIG 18. Latin America Automotive Data Management Market 2020 & 2030 (USD Billion)
• FIG 19. Middle East & Africa Automotive Data Management Market 2020 & 2030 (USD Billion)

List of tables and figures are dummy in nature, final lists may vary in the final deliverable

Global Automotive Data Management Market is valued approximately at USD 1.08 billion in 2022 and is anticipated to grow with a compounded annual growth rate of more than 20% over the forecast period 2023-2030. An Automotive Data Management System refers to the comprehensive software or hardware solution designed to collect, store process and analyze various types of data generated within automotive industry. It is a sophisticated system that helps to manage and organize large volume of data related to vehicles, costumers, operations and other aspects of automotive ecosystem. The primary purpose of an automated data management system is to enable efficient and effective data handling, ensuring that information is readily available for analysis, decision, making and operational purposes. It facilitates the integration of data from multiple sources such as vehicle sensors, manufacturing processes, supply chain system, customer interactions and more. Moreover, growing automotive industry and increasing use of IoT in automotive data management expected to be the growth factors of the Global Automotive Data Management market.

According to the India Brand Equity Foundation (IBEF) in 2021, the Indian passenger car market was valued at USD 32.70 billion and is expected to grow USD 54.84 billion by 2027. According to Statista in 2021, it was found that the number of connected automobiles in operation were 237 million and is anticipated to surpass 400 million by 2025. With the increasing integration of electronics in vehicles, over the past few decades, automotive industry possesses advanced capabilities to internally and externally monitor and record data. However, limited connectivity and regulatory and legal compliance may hamper the growth of global automotive, data management market. Moreover, increasing standard of living and increasing disposable income emerge as to be the growth opportunities for the market.

The key regions considered for the Global Automotive Data Management Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Europe region dominated the market in 2022 owing to the factors such as early adaptation of advanced technology

and advancement in automotive industry. Europe is the home for many multinational automotive industries such as Volkswagen group AG, Stellantis NV, Mercedes-Benz group AG, Bayerische Motoren Werke AG (BMW) and so on. Asia-Pacific is expected to be the fastest growing region, owing to the factors such as low labor cost and large customer base. According to Press Information Bureau of India (PIB), contribution of automotive industry in GDP has been rose to 7.1% and India aims to double its automotive industry to USD 182.7 billion by 2024.

Major market players included in this report are:

• Acerta Analytics Solutions Inc.
• Amazon Web Services Inc.
• Amodo
• Caruso Gmbh
• ETL Solutions Ltd.
• HEAVY.AI
• International Business Machines Corporation.
• National Instruments Corporation
• SAP SE
• Teradata Corporation

Recent Developments in the Market:

• In January 2023, the establishment of Cofinity-X marks the next phase of progress in Europe for the advancement of the Catena-X initiative, led by major shareholders including BASF, BMW Group, Henkel, Mercedes-Benz, SAP , Schaeffler, Siemens, T-Systems, Volkswagen and ZF.
• In October 2022, Salesforce industries added Automotive Cloud CRM which provide a customer sales , service, marketing and commerce platform for cars and truck dealers manufacturers and financiers.

Global Automotive Data Management Market Report Scope:

• Historical Data: 2020 - 2021
• Base Year for Estimation: 2022
• Forecast period: 2023-2030
• Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Segments Covered:Data Type, Software Type, Region
• Regional Scope: North America; Europe; Asia Pacific; Latin America; Middle East & Africa
• Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Data Type:

• Unstructured
• Semi-Structured & Structured

By Software Type:

• Data Security
• Data Integration
• Data Migration
• Data Quality

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
• Latin America
• Brazil
• Mexico
• Middle East & Africa
• Saudi Arabia
• South Africa
• Rest of Middle East & Africa

Table of Contents

Chapter 1. Executive Summary

• 1.1. Market Snapshot
• 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
  • 1.2.1. Automotive Data Management Market, by region, 2020-2030 (USD Billion)
  • 1.2.2. Automotive Data Management Market, by Data Type, 2020-2030 (USD Billion)
  • 1.2.3. Automotive Data Management Market, by Software Type, 2020-2030 (USD Billion)
• 1.3. Key Trends
• 1.4. Estimation Methodology
• 1.5. Research Assumption

Chapter 2. Global Automotive Data Management Market Definition and Scope

• 2.1. Objective of the Study
• 2.2. Market Definition & Scope
  • 2.2.1. Industry Evolution
  • 2.2.2. Scope of the Study
• 2.3. Years Considered for the Study
• 2.4. Currency Conversion Rates

Chapter 3. Global Automotive Data Management Market Dynamics

• 3.1. Automotive Data Management Market Impact Analysis (2020-2030)
  • 3.1.1. Market Drivers
    • 3.1.1.1. Growing Automotive Industry
    • 3.1.1.2. Increasing use of IoT Automotive Data Management
  • 3.1.2. Market Challenges
    • 3.1.2.1. Limited Connectivity
    • 3.1.2.2. Regulatory and Legal Compliance
  • 3.1.3. Market Opportunities
    • 3.1.3.1. Increasing Standard of Living
    • 3.1.3.2. Increasing Disposable Income

Chapter 4. Global Automotive Data Management Market: Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
• 4.2. Porter's 5 Force Impact Analysis
• 4.3. PEST Analysis
  • 4.3.1. Political
  • 4.3.2. Economic
  • 4.3.3. Social
  • 4.3.4. Technological
  • 4.3.5. Environmental
  • 4.3.6. Legal
• 4.4. Top investment opportunity
• 4.5. Top winning strategies
• 4.6. COVID-19 Impact Analysis
• 4.7. Disruptive Trends
• 4.8. Industry Expert Perspective
• 4.9. Analyst Recommendation & Conclusion

Chapter 5. Global Automotive Data Management Market, by Data Type

• 5.1. Market Snapshot
• 5.2. Global Automotive Data Management Market by Data Type, Performance - Potential Analysis
• 5.3. Global Automotive Data Management Market Estimates & Forecasts by Data Type 2020-2030 (USD Billion)
• 5.4. Automotive Data Management Market, Sub Segment Analysis
  • 5.4.1. Unstructured
  • 5.4.2. Semi-Structured & Structured

Chapter 6. Global Automotive Data Management Market, by Software Type

• 6.1. Market Snapshot
• 6.2. Global Automotive Data Management Market by Software Type, Performance - Potential Analysis
• 6.3. Global Automotive Data Management Market Estimates & Forecasts by Software Type 2020-2030 (USD Billion)
• 6.4. Automotive Data Management Market, Sub Segment Analysis
  • 6.4.1. Data Security
  • 6.4.2. Data Integration
  • 6.4.3. Data Migration
  • 6.4.4. Data Quality

Chapter 7. Global Automotive Data Management Market, Regional Analysis

• 7.1. Top Leading Countries
• 7.2. Top Emerging Countries
• 7.3. Automotive Data Management Market, Regional Market Snapshot
• 7.4. North America Automotive Data Management Market
  • 7.4.1. U.S. Automotive Data Management Market
    • 7.4.1.1. Data Type breakdown estimates & forecasts, 2020-2030
    • 7.4.1.2. Software Type breakdown estimates & forecasts, 2020-2030
  • 7.4.2. Canada Automotive Data Management Market
• 7.5. Europe Automotive Data Management Market Snapshot
  • 7.5.1. U.K. Automotive Data Management Market
  • 7.5.2. Germany Automotive Data Management Market
  • 7.5.3. France Automotive Data Management Market
  • 7.5.4. Spain Automotive Data Management Market
  • 7.5.5. Italy Automotive Data Management Market
  • 7.5.6. Rest of Europe Automotive Data Management Market
• 7.6. Asia-Pacific Automotive Data Management Market Snapshot
  • 7.6.1. China Automotive Data Management Market
  • 7.6.2. India Automotive Data Management Market
  • 7.6.3. Japan Automotive Data Management Market
  • 7.6.4. Australia Automotive Data Management Market
  • 7.6.5. South Korea Automotive Data Management Market
  • 7.6.6. Rest of Asia Pacific Automotive Data Management Market
• 7.7. Latin America Automotive Data Management Market Snapshot
  • 7.7.1. Brazil Automotive Data Management Market
  • 7.7.2. Mexico Automotive Data Management Market
• 7.8. Middle East & Africa Automotive Data Management Market
  • 7.8.1. Saudi Arabia Automotive Data Management Market
  • 7.8.2. South Africa Automotive Data Management Market
  • 7.8.3. Rest of Middle East & Africa Automotive Data Management Market

Chapter 8. Competitive Intelligence

• 8.1. Key Company SWOT Analysis
  • 8.1.1. Company 1
  • 8.1.2. Company 2
  • 8.1.3. Company 3
• 8.2. Top Market Strategies
• 8.3. Company Profiles
  • 8.3.1. Acreta Analytics Solutions Inc.
    • 8.3.1.1. Key Information
    • 8.3.1.2. Overview
    • 8.3.1.3. Financial (Subject to Data Availability)
    • 8.3.1.4. Product Summary
    • 8.3.1.5. Recent Developments
  • 8.3.2. Amazon Web Services Inc.
  • 8.3.3. Amodo
  • 8.3.4. Caruso gmbh
  • 8.3.5. ETL Solutions Ltd.
  • 8.3.6. HEAVY.AI
  • 8.3.7. International Business Machines Corporation
  • 8.3.8. National Instruments Corporation
  • 8.3.9. SAP SE
  • 8.3.10. Teradata Corporation

Chapter 9. Research Process

• 9.1. Research Process
  • 9.1.1. Data Mining
  • 9.1.2. Analysis
  • 9.1.3. Market Estimation
  • 9.1.4. Validation
  • 9.1.5. Publishing
• 9.2. Research Attributes
• 9.3. Research Assumption