세계의 산업 데이터 관리 시장 : 유형별, 제공별, 데이터 관리 스택별, 전개별, 조직 유형별, 데이터 유형별, 업계별, 지역별 - 예측(-2030년)

The global industrial data management market is expected to grow from USD 105.10 billion in 2025 to USD 213.20 billion by 2030, at a CAGR of 15.2% during the forecast period. One of the primary drivers is industrial automation and Industry 4.0 growth, where intelligent factories rely on real-time data storage and analytics to maximize operations, enhance efficiency, and facilitate predictive maintenance. Industrial data management software plays a critical role in automation in gathering data from various devices, equipment, and systems for evaluation and control. Furthermore, the rapid growth of Internet of Things (IoT) devices has promoted the adoption of various systems and sensors interoperable with industrial data management software across industries, ranging from demanding efficient data storage, analysis, visualization, and governance. The increased focus on real-time monitoring in energy, automotive, aerospace, healthcare, transportation, and BFSI further enhances the demand for precise data collection and analysis systems, thereby escalating the need for data management.

"BFSI is expected to contribute a significant share to the industrial data management market."

BFSI (banking, financial services, and insurance) business will be a key growth driver in the market for industrial data management. While financial institutions put greater investments into digital transformation, they generate and process huge amounts of sensitive as well as transactional data, which requires robust handling, security, and real-time analytics. This requirement for advanced data handling capabilities pushes the industry to employ cutting-edge data integration, governance, and compliance solutions, similar to those used in industrial environments. Moreover, BFSI firms are working with industrial companies to offer embedded finance, risk analysis, and predictive analytics offerings, further taking the boundaries out of the two industries. The industry's focus on customer intelligence, fraud detection, and regulatory compliance also drives innovation in data platforms, affecting general industrial data management trends. Therefore, the BFSI sector's technological strength and investment capability will be instrumental in accelerating the adoption and development of end-to-end integrated data management systems in various industries.

"Data orchestration & analytics segment is projected to register the highest CAGR in the industrial data management market."

Data orchestration and analytics are expected to be the fastest-growing segments in the industrial data management market. As industrial operations become increasingly digital and interconnected, organizations generate vast amounts of raw data from machines, sensors, enterprise systems, and supply chains. Data orchestration plays a critical role in streamlining and automating the flow of this data across disparate sources, ensuring it is clean, consistent, and accessible in real time. Coupled with powerful analytics tools, this orchestrated data can be transformed into actionable insights that drive efficiency, predict equipment failures, optimize resource usage, and enhance decision-making. The growing demand for predictive maintenance, operational visibility, and real-time monitoring across industries such as manufacturing, energy, and logistics is accelerating the adoption of these technologies. Furthermore, the rise of AI and machine learning amplifies the value of advanced analytics, making data orchestration and analytics essential for industrial competitiveness and innovation.

"The US is estimated to dominate the industrial data management market."

The US is anticipated to lead the industrial data management market due to its advanced industrial setup, early adoption of the latest technology, and the strong presence of major market players. With a high density of manufacturing, oil & gas, and energy industries, the US is generating massive volumes of industrial data, making efficient data management systems imperative. The country's focus on digitalization, Industrial Internet of Things (IIoT), and smart manufacturing also increases the adoption of data management systems. High investments in cloud computing, AI, and cybersecurity also augment the functionalities of industrial data management systems and place the US at the forefront globally.

In-depth interviews have been conducted with Chief Executive Officers (CEOs), Directors, and other executives from various key organizations operating in the industrial data management market.

• By Company Type: Tier 1 - 45%, Tier 2 - 35%, and Tier 3 - 20%
• By Designation: C-level Executives - 40%, Directors - 35%, and Others - 25%
• By Region: North America- 45%, Europe - 25%, Asia Pacific- 20%, and RoW- 10%

The study includes an in-depth competitive analysis of these key players in the industrial data management market, with their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the industrial data management market by offering, speed, application, vertical, and region (North America, Europe, Asia Pacific). The report scope covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the industrial data management market. A detailed analysis of the key industry players has provided insights into their business overview, solutions and services, key strategies, such as contracts, partnerships, agreements, new product and service launches, acquisitions, and other recent developments associated with the industrial data management market. This report covers a competitive analysis of upcoming industrial data management market startups.

Reasons to buy this report

The report will help market leaders and new entrants with information on the closest approximations of the revenue numbers for the industrial data management market and subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

• Analysis of key drivers (Expanding unstructured data, increasing cyber threats in industrial environments, growing popularity of IoT in industrial environments), restraints (Complexities associated with integrating industrial data management solutions into existing infrastructure, significant investments in hardware), opportunities (Convergence of information technology and operational technology, increasing adoption of cloud computing in industrial applications), and challenges (Ensuring high-quality and accurate data, lack of standardization in industrial data management) influencing the growth of the industrial data management market.
• Product Development/Innovation: Detailed insights into upcoming technologies, research & development activities, and new product launches in the industrial data management market
• Market Development: Comprehensive information about lucrative markets-the report analyses the industrial data management market across varied regions.
• Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the industrial data management market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the industrial data management market, such as Microsoft (US), Alphabet Inc. (US), SAP (Germany), Oracle (US), IBM (US), and AWS (US).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 MARKETS COVERED AND REGIONAL SCOPE
  • 1.3.2 YEARS CONSIDERED
  • 1.3.3 INCLUSIONS AND EXCLUSIONS
• 1.4 CURRENCY CONSIDERED
• 1.5 LIMITATIONS
• 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY AND PRIMARY RESEARCH
  • 2.1.2 SECONDARY DATA
    • 2.1.2.1 List of key secondary sources
    • 2.1.2.2 Key data from secondary sources
  • 2.1.3 PRIMARY DATA
    • 2.1.3.1 Intended participants and key opinion leaders
    • 2.1.3.2 Key data from primary sources
    • 2.1.3.3 Key industry insights
    • 2.1.3.4 Breakdown of primaries
• 2.2 FACTOR ANALYSIS
• 2.3 MARKET SIZE ESTIMATION
  • 2.3.1 BOTTOM-UP APPROACH
    • 2.3.1.1 Approach to estimate market size using bottom-up analysis (demand side)
  • 2.3.2 TOP-DOWN APPROACH
    • 2.3.2.1 Approach to estimate market size using top-down analysis (supply side)
• 2.4 DATA TRIANGULATION
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 RESEARCH LIMITATIONS
• 2.7 RISK ANALYSIS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN INDUSTRIAL DATA MANAGEMENT MARKET
• 4.2 INDUSTRIAL DATA MANAGEMENT MARKET, BY DEPLOYMENT
• 4.3 INDUSTRIAL DATA MANAGEMENT MARKET, BY DATA TYPE
• 4.4 INDUSTRIAL DATA MANAGEMENT MARKET, BY DATA MANAGEMENT STACK
• 4.5 INDUSTRIAL DATA MANAGEMENT MARKET, BY REGION

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Expanding unstructured data
    • 5.2.1.2 Increasing cyber threats in industrial environments
    • 5.2.1.3 Growing popularity of IoT in industrial environments
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Complexities associated with integrating industrial data management solutions into existing infrastructure
    • 5.2.2.2 Significant investments in hardware
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Convergence of information technology and operational technology
    • 5.2.3.2 Increasing adoption of cloud computing in industrial applications
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Ensuring high-quality and accurate data
    • 5.2.4.2 Lack of standardization in industrial data management
• 5.3 VALUE CHAIN ANALYSIS
• 5.4 ECOSYSTEM ANALYSIS
• 5.5 INVESTMENT AND FUNDING SCENARIO, 2024
• 5.6 PRICING ANALYSIS
  • 5.6.1 INDICATIVE PRICING OF INDUSTRIAL DATA MANAGEMENT SOLUTIONS, BY KEY PLAYER, 2024
  • 5.6.2 AVERAGE SELLING PRICE TREND OF INDUSTRIAL DATA MANAGEMENT SOLUTIONS, BY REGION, 2020-2024
• 5.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.8 TECHNOLOGY ANALYSIS
  • 5.8.1 KEY TECHNOLOGIES
    • 5.8.1.1 AI
    • 5.8.1.2 IoT
  • 5.8.2 COMPLEMENTARY TECHNOLOGIES
    • 5.8.2.1 Industry 5.0
    • 5.8.2.2 Predictive maintenance
  • 5.8.3 ADJACENT TECHNOLOGIES
    • 5.8.3.1 Process analytics
    • 5.8.3.2 Industrial automation
• 5.9 PORTER'S FIVE FORCES ANALYSIS
  • 5.9.1 INTENSITY OF COMPETITIVE RIVALRY
  • 5.9.2 BARGAINING POWER OF SUPPLIERS
  • 5.9.3 BARGAINING POWER OF BUYERS
  • 5.9.4 THREAT OF SUBSTITUTES
  • 5.9.5 THREAT OF NEW ENTRANTS
• 5.10 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.10.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.10.2 BUYING CRITERIA
• 5.11 CASE STUDY ANALYSIS
  • 5.11.1 ADANI GROUP PARTNERED WITH SAP THAT ENSURED STANDARDIZED AND RELIABLE DATA ACROSS ALL BUSINESS UNITS
  • 5.11.2 GLOBAL TRAVEL COMPANY IMPROVED SERVICE QUALITY AND OPERATIONAL EFFICIENCY WITH DYNAMICS 365
  • 5.11.3 GLOBAL MANUFACTURING COMPANY IMPLEMENTED MASTER DATA MANAGEMENT TO TACKLE INCONSISTENT DATA ISSUES
• 5.12 TRADE ANALYSIS
  • 5.12.1 IMPORT DATA (HS CODE 8471)
  • 5.12.2 EXPORT DATA (HS CODE 8471)
• 5.13 PATENT ANALYSIS
• 5.14 KEY CONFERENCES AND EVENTS, 2025-2026
• 5.15 TARIFF AND REGULATORY LANDSCAPE
  • 5.15.1 TARIFF ANALYSIS
  • 5.15.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.15.3 SAFETY STANDARDS FOR INDUSTRIAL DATA MANAGEMENT
• 5.16 IMPACT OF AI/GENERATIVE AI ON INDUSTRIAL DATA MANAGEMENT MARKET
  • 5.16.1 INTRODUCTION
• 5.17 IMPACT OF 2025 US TARRIF - OVERVIEW
  • 5.17.1 INTRODUCTION
  • 5.17.2 KEY TARIFF RATES
  • 5.17.3 PRICE IMPACT ANALYSIS
  • 5.17.4 IMPACT ON COUNTRY/REGIONS
    • 5.17.4.1 US
    • 5.17.4.2 Europe
    • 5.17.4.3 APAC
  • 5.17.5 IMPACT ON END-USE INDUSTRIES

6 TYPES OF DATA IN INDUSTRIAL DATA MANAGEMENT

• 6.1 INTRODUCTION
• 6.2 OPERATIONAL & PROCESS DATA
  • 6.2.1 ASSET INFORMATION MANAGEMENT
  • 6.2.2 PRODUCTION DATA
  • 6.2.3 DIGITAL TWIN & SIMULATION DATA
  • 6.2.4 RESOURCE & ENERGY CONSUMPTION DATA
  • 6.2.5 QUALITY CONTROL & INSPECTION DATA
• 6.3 INFORMATION TECHNOLOGY DATA
  • 6.3.1 CYBER SECURITY & IT INFRASTRUCTURE DATA
  • 6.3.2 SAFETY & COMPLIANCE DATA
  • 6.3.3 CUSTOMER & MARKET DATA
  • 6.3.4 SUPPLY CHAIN & LOGISTICS DATA

7 INDUSTRIAL DATA MANAGEMENT MARKET, BY TYPE

• 7.1 INTRODUCTION
• 7.2 DATA INTEGRATION & STORAGE
  • 7.2.1 RISING DEMAND FOR CLOUD AND AI TECHNOLOGIES FOR INTEGRATING AND STORING DATA EFFECTIVELY TO FOSTER MARKET GROWTH
  • 7.2.2 DATA LAKE
  • 7.2.3 DATA WAREHOUSES
  • 7.2.4 DATABASES
  • 7.2.5 DATA MESH
  • 7.2.6 DATA FABRIC
• 7.3 DATA ORCHESTRATION & ANALYTICS
  • 7.3.1 NEED TO OPTIMIZE OPERATION AND ENHANCE EFFICIENCY IN INDUSTRIAL SETTINGS TO DRIVE MARKET GROWTH
• 7.4 DATA SHARING
  • 7.4.1 GROWING NEED FOR IMPROVED SCALABILITY IN CLOUD ENVIRONMENTS TO FUEL MARKET GROWTH
• 7.5 DATA SECURITY
  • 7.5.1 RISING EMPHASIS ON IMPLEMENTING ROBUST DATA SECURITY AND PROTECTION MEASURES TO ENSURE SAFEGUARDING OF SENSITIVE INFORMATION TO SUPPORT MARKET GROWTH
• 7.6 DATA GOVERNANCE & COMPLIANCE
  • 7.6.1 GROWING REGULATORY REQUIREMENTS AND DATA COMPLEXITIES TO BOOST DEMAND
• 7.7 DATA VISUALIZATION
  • 7.7.1 ABILITY TO TRANSFORM COMPLEX DATASETS INTO GRAPHICAL REPRESENTATIONS TO FOSTER MARKET GROWTH

8 INDUSTRIAL DATA MANAGEMENT MARKET, BY OFFERING

• 8.1 INTRODUCTION
• 8.2 SOFTWARE
  • 8.2.1 RISING ADOPTION OF INDUSTRY 5.0 TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
• 8.3 SERVICES
  • 8.3.1 INCREASING NEED FOR INTEROPERABILITY BETWEEN LEGACY AND MODERN INDUSTRIAL SYSTEMS TO BOOST DEMAND

9 INDUSTRIAL DATA MANAGEMENT MARKET, BY DATA MANAGEMENT STACK

• 9.1 INTRODUCTION
• 9.2 LEGACY
  • 9.2.1 INCORPORATION OF CLOUD-BASED STORAGE TO ENHANCE PERFORMANCE AND DECISION-MAKING TO FUEL MARKET GROWTH
• 9.3 MODERN
  • 9.3.1 RISING ADOPTION OF LOW-CODE AND NO-CODE DATA INTEGRATION TOOLS TO DRIVE MARKET

10 INDUSTRIAL DATA MANAGEMENT, BY DEPLOYMENT

• 10.1 INTRODUCTION
• 10.2 CLOUD-BASED
  • 10.2.1 PRESSING NEED TO MANAGE AND PROCESS VAST AMOUNTS OF DATA TO FUEL MARKET GROWTH
• 10.3 ON-PREMISES
  • 10.3.1 INCREASING DEMAND FOR LOW-LATENCY PROCESSING TO DRIVE MARKET
• 10.4 HYBRID
  • 10.4.1 RISING NEED TO SECURE SENSITIVE DATA ON-PREMISES AND ENHANCE SCALABILITY TO SUPPORT MARKET GROWTH

11 INDUSTRIAL DATA MANAGEMENT MARKET, BY ORGANIZATION TYPE

• 11.1 INTRODUCTION
• 11.2 SMALL & MID-SIZED
  • 11.2.1 ADVANCEMENTS IN CLOUD-HOSTED SCADA TO FUEL MARKET GROWTH
• 11.3 LARGE
  • 11.3.1 INCREASING DEMAND FOR REAL-TIME ANALYTICS, AUTOMATION, AND PREDICTIVE MAINTENANCE TO FOSTER MARKET GROWTH

12 INDUSTRIAL DATA MANAGEMENT, BY DATA TYPE

• 12.1 INTRODUCTION
• 12.2 STRUCTURED
  • 12.2.1 RISING FOCUS ON ENHANCING OPERATIONAL EFFICIENCY AND INFORMED DECISION-MAKING TO DRIVE MARKET
• 12.3 UNSTRUCTURED
  • 12.3.1 EXPONENTIAL GROWTH OF MULTIMEDIA CONTENT AND SENSOR DATA TO BOOST DEMAND
• 12.4 SEMI-STRUCTURED
  • 12.4.1 PROLIFERATION OF XML AND JSON FORMATS TO DRIVE MARKET

13 INDUSTRIAL DATA MANAGEMENT MARKET, BY INDUSTRY

• 13.1 INTRODUCTION
• 13.2 HEALTHCARE & LIFE SCIENCES
  • 13.2.1 WIDESPREAD ADOPTION OF EHRS, TELEMEDICINE PLATFORMS, AND IOT-ENABLED MEDICAL EQUIPMENT TO DRIVE MARKET
• 13.3 BFSI
  • 13.3.1 FOCUS ON FRAUD DETECTION AND RISK MITIGATION TO BOOST DEMAND
• 13.4 MANUFACTURING & PROCESSING
  • 13.4.1 RISE OF INDUSTRY 5.0 TO SUPPORT MARKET GROWTH
  • 13.4.2 AUTOMOTIVE
  • 13.4.3 AEROSPACE
  • 13.4.4 FOOD & BEVERAGE
  • 13.4.5 CHEMICAL
  • 13.4.6 MINING
  • 13.4.7 OIL & GAS
• 13.5 TELECOM & NETWORKING
  • 13.5.1 RAPID EXPANSION OF MOBILE DEVICES, IOT, 5G NETWORKS, AND CLOUD-BASED SERVICES TO FUEL MARKET GROWTH
• 13.6 ENERGY & UTILITIES
  • 13.6.1 GROWING DEPENDENCE OF ENERGY SECTOR ON ROBUST DATA SOLUTIONS TO SUPPORT MARKET GROWTH
• 13.7 WAREHOUSING & LOGISTICS
  • 13.7.1 PROLIFERATION OF E-COMMERCE, JUST-IN-TIME DELIVERY MODELS, AND COMPLEX INVENTORY NETWORKS TO BOOST DEMAND

14 INDUSTRIAL DATA MANAGEMENT MARKET, BY REGION

• 14.1 INTRODUCTION
• 14.2 NORTH AMERICA
  • 14.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  • 14.2.2 US
    • 14.2.2.1 Rising demand for industrial automation in BFSI and manufacturing industries to fuel market growth
  • 14.2.3 CANADA
    • 14.2.3.1 Rapid adoption of digital tools across industries to drive market
  • 14.2.4 MEXICO
    • 14.2.4.1 Growing focus on innovative technologies such as autonomous systems and electric aircraft to support market growth
• 14.3 EUROPE
  • 14.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  • 14.3.2 GERMANY
    • 14.3.2.1 Transition from hybrid to public cloud infrastructure to fuel market growth
  • 14.3.3 UK
    • 14.3.3.1 Surge in automotive manufacturing to drive market
  • 14.3.4 FRANCE
    • 14.3.4.1 Government-led initiatives to boost digital transformation to drive market
  • 14.3.5 ITALY
    • 14.3.5.1 Rising emphasis on optimizing production processes to drive market
  • 14.3.6 SPAIN
    • 14.3.6.1 Expanding automotive sector to foster market growth
  • 14.3.7 POLAND
    • 14.3.7.1 Promotion of Industry 5.0 and automation to fuel market growth
  • 14.3.8 NORDICS
    • 14.3.8.1 Rapid adoption of AI and generative AI in manufacturing firms to drive market
  • 14.3.9 REST OF EUROPE
• 14.4 ASIA PACIFIC
  • 14.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  • 14.4.2 CHINA
    • 14.4.2.1 Integration of AI and big data in financial services to fuel market growth
  • 14.4.3 JAPAN
    • 14.4.3.1 Strong emphasis on advanced manufacturing and technological innovation to boost demand
  • 14.4.4 SOUTH KOREA
    • 14.4.4.1 Presence of established end-use sectors to offer lucrative growth opportunities
  • 14.4.5 INDIA
    • 14.4.5.1 Government-led initiatives to boost digital transformation to foster market growth
  • 14.4.6 AUSTRALIA
    • 14.4.6.1 Growing reliance of mining, energy, and manufacturing industries on advanced industrial data management technologies to drive market
  • 14.4.7 INDONESIA
    • 14.4.7.1 Rapid advancements in healthcare and manufacturing sectors to support market growth
  • 14.4.8 MALAYSIA
    • 14.4.8.1 Increasing complexity of manufacturing processes to drive market
  • 14.4.9 THAILAND
    • 14.4.9.1 Rising demand for sustainable packaging solutions to fuel market growth
  • 14.4.10 VIETNAM
    • 14.4.10.1 Expanding manufacturing, product assembly, and downstream services to support market growth
  • 14.4.11 REST OF ASIA PACIFIC
• 14.5 ROW
  • 14.5.1 MACROECONOMIC OUTLOOK FOR ROW
  • 14.5.2 MIDDLE EAST
    • 14.5.2.1 Bahrain
      • 14.5.2.1.1 Rising emphasis on modernizing industries to foster market growth
    • 14.5.2.2 Kuwait
      • 14.5.2.2.1 Expanding energy sector to drive market
    • 14.5.2.3 Oman
      • 14.5.2.3.1 Developing non-petroleum manufacturing sector to fuel market growth
    • 14.5.2.4 Qatar
      • 14.5.2.4.1 Diversification of production sector to offer lucrative growth opportunities
    • 14.5.2.5 Saudi Arabia
      • 14.5.2.5.1 Diversification of production sector to boost demand
    • 14.5.2.6 UAE
      • 14.5.2.6.1 Rising emphasis on developing industrial sector to fuel market growth
    • 14.5.2.7 Rest of Middle East
  • 14.5.3 AFRICA
    • 14.5.3.1 South Africa
      • 14.5.3.1.1 Presence of diverse industrial landscape to drive market
    • 14.5.3.2 Rest of Africa
  • 14.5.4 SOUTH AMERICA
    • 14.5.4.1 Thriving manufacturing sectors to boost demand

15 COMPETITIVE LANDSCAPE

• 15.1 OVERVIEW
• 15.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2024
• 15.3 REVENUE ANALYSIS, 2021-2024
• 15.4 MARKET SHARE ANALYSIS, 2024
• 15.5 COMPANY VALUATION AND FINANCIAL METRICS, 2024
• 15.6 BRAND/PRODUCT COMPARISON
• 15.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 15.7.1 STARS
  • 15.7.2 EMERGING LEADERS
  • 15.7.3 PERVASIVE PLAYERS
  • 15.7.4 PARTICIPANTS
  • 15.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 15.7.5.1 Company footprint
    • 15.7.5.2 Region footprint
    • 15.7.5.3 Type footprint
    • 15.7.5.4 Offering footprint
    • 15.7.5.5 Deployment footprint
    • 15.7.5.6 Industry footprint
• 15.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 15.8.1 PROGRESSIVE COMPANIES
  • 15.8.2 RESPONSIVE COMPANIES
  • 15.8.3 DYNAMIC COMPANIES
  • 15.8.4 STARTING BLOCKS
  • 15.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 15.8.5.1 Detailed list of key startups/SMEs
    • 15.8.5.2 Competitive benchmarking of key startups/SMEs
• 15.9 COMPETITIVE SCENARIO
  • 15.9.1 PRODUCT LAUNCHES
  • 15.9.2 DEALS
  • 15.9.3 OTHER DEVELOPMENTS

16 COMPANY PROFILES

• 16.1 KEY PLAYERS
  • 16.1.1 MICROSOFT
    • 16.1.1.1 Business overview
    • 16.1.1.2 Products/Solutions/Services offered
    • 16.1.1.3 Recent developments
      • 16.1.1.3.1 Deals
      • 16.1.1.3.2 Other developments
    • 16.1.1.4 MnM view
      • 16.1.1.4.1 Key strengths/Right to win
      • 16.1.1.4.2 Strategic choices
      • 16.1.1.4.3 Weaknesses/Competitive threats
  • 16.1.2 ALPHABET INC.
    • 16.1.2.1 Business overview
    • 16.1.2.2 Products/Solutions/Services offered
    • 16.1.2.3 Recent developments
      • 16.1.2.3.1 Deals
    • 16.1.2.4 MnM view
      • 16.1.2.4.1 Key strengths/Right to win
      • 16.1.2.4.2 Strategic choices
      • 16.1.2.4.3 Weaknesses/Competitive threats
  • 16.1.3 SAP
    • 16.1.3.1 Business overview
    • 16.1.3.2 Products/Solutions/Services offered
    • 16.1.3.3 Recent developments
      • 16.1.3.3.1 Deals
      • 16.1.3.3.2 Other developments
    • 16.1.3.4 MnM view
      • 16.1.3.4.1 Key strengths/Right to win
      • 16.1.3.4.2 Strategic choices
      • 16.1.3.4.3 Weaknesses/Competitive threats
  • 16.1.4 IBM
    • 16.1.4.1 Business overview
    • 16.1.4.2 Products/Solutions/Services offered
    • 16.1.4.3 Recent developments
      • 16.1.4.3.1 Product launches
      • 16.1.4.3.2 Deals
      • 16.1.4.3.3 Other developments
    • 16.1.4.4 MnM view
      • 16.1.4.4.1 Key strengths/Right to win
      • 16.1.4.4.2 Strategic choices
      • 16.1.4.4.3 Weaknesses/Competitive threats
  • 16.1.5 ORACLE
    • 16.1.5.1 Business overview
    • 16.1.5.2 Products/Solutions/Services offered
    • 16.1.5.3 Recent developments
      • 16.1.5.3.1 Deals
    • 16.1.5.4 MnM View
      • 16.1.5.4.1 Key strengths/Right to win
      • 16.1.5.4.2 Strategic choices
      • 16.1.5.4.3 Weaknesses/Competitive threats
  • 16.1.6 AMAZON WEB SERVICES, INC.
    • 16.1.6.1 Business overview
    • 16.1.6.2 Products/Solutions/Services offered
    • 16.1.6.3 Recent developments
      • 16.1.6.3.1 Product launches
    • 16.1.6.4 MnM view
      • 16.1.6.4.1 Key strengths/Right to win
      • 16.1.6.4.2 Strategic choices
      • 16.1.6.4.3 Weaknesses/Competitive threats
  • 16.1.7 AVEVA GROUP LIMITED
    • 16.1.7.1 Business overview
    • 16.1.7.2 Products/Solutions/Services offered
    • 16.1.7.3 Recent developments
      • 16.1.7.3.1 Product launches
      • 16.1.7.3.2 Other developments
  • 16.1.8 TALEND, INC.
    • 16.1.8.1 Business overview
    • 16.1.8.2 Products/Solutions/Services offered
    • 16.1.8.3 Recent developments
      • 16.1.8.3.1 Deals
      • 16.1.8.3.2 Other developments
  • 16.1.9 SNOWFLAKE INC.
    • 16.1.9.1 Business overview
    • 16.1.9.2 Products/Solutions/Services offered
      • 16.1.9.2.1 Product launches
      • 16.1.9.2.2 Deals
  • 16.1.10 INFORMATICA INC.
    • 16.1.10.1 Business overview
    • 16.1.10.2 Products/Solutions/Services offered
    • 16.1.10.3 Recent developments
      • 16.1.10.3.1 Product launches
      • 16.1.10.3.2 Deals
      • 16.1.10.3.3 Other developments
  • 16.1.11 SIEMENS
    • 16.1.11.1 Business overview
    • 16.1.11.2 Products/Solutions/Services offered
  • 16.1.12 HONEYWELL INTERNATIONAL INC.
    • 16.1.12.1 Business overview
    • 16.1.12.2 Products/Solutions/Services offered
  • 16.1.13 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
    • 16.1.13.1 Business overview
    • 16.1.13.2 Products/Solutions/Services offered
    • 16.1.13.3 Recent developments
      • 16.1.13.3.1 Deals
  • 16.1.14 DELL INC.
    • 16.1.14.1 Business overview
    • 16.1.14.2 Products/Solutions/Services offered
    • 16.1.14.3 Recent developments
      • 16.1.14.3.1 Product launches
• 16.2 OTHER PLAYERS
  • 16.2.1 DATABRICKS
  • 16.2.2 PALANTIR TECHNOLOGIES INC.
  • 16.2.3 ABB
  • 16.2.4 CLOUDERA, INC.
  • 16.2.5 ATACCAMA
  • 16.2.6 ASPEN TECHNOLOGY INC
  • 16.2.7 C3.AI, INC
  • 16.2.8 COGNITE AS
  • 16.2.9 ROCKWELL AUTOMATION
  • 16.2.10 GE VERNOVA
  • 16.2.11 HITACHI VANTARA LLC.
  • 16.2.12 HEXAGON AB
  • 16.2.13 SYMPHONYAI
  • 16.2.14 TERADATA
  • 16.2.15 CONFLUENT, INC.

17 APPENDIX

• 17.1 INSIGHTS FROM INDUSTRY EXPERTS
• 17.2 DISCUSSION GUIDE
• 17.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 17.4 CUSTOMIZATION OPTIONS
• 17.5 RELATED REPORTS
• 17.6 AUTHOR DETAILS