Summary

The Autonomous enterprise market is estimated to be USD 50.5 billion in 2024 to USD 114.0 billion in 2029 at a CAGR of 17.6% from 2024 to 2029. Increased dependence on digital and automated systems has changed the nature of cybersecurity threats for businesses to sophisticated ones. Autonomous enterprise needs advanced security mechanisms that detect and respond to threats in time; against these, the remaining infrastructure will be continuously pitted. AI-based cybersecurity solutions, including systems for automated threat detection and response, have become very compelling for protection of enterprise data and infrastructure. This has further and better opened wide autonomous security solutions that can uninterruptedly monitor for vulnerabilities, adapt to new threats, and ensure integrity within the autonomous operation.
During the forecast period, the RPA solution to contributed the largest market share in the Aautonomous enterprise market.
Robotic Process Automation (RPA) is an innovative technology that helps organizations to automate various forms of high touch, low-complexity processes. They replicate human behavior and perform tasks on different digital platforms in a time-efficient manner to enhance operational performance. This drives up productivity and leads to lower costs, as well as liberates human workers from operational activities so their effort can be solely focused on activities that are more strategic and creative.
"Asia Pacific will register the highest growth rate during the forecast period.”
The autonomous enterprise market in Asia Pacific includes China, Japan, India, South Korea, ANZ, and remaining countries in Asia Pacific. The rest of Asia Pacific is made of countries such as Singapore, Malaysia, and Thailand among others. The key drivers of market include populace and varied social, political and economic systems driving autonomous enterprise in the Asia-Pacific region. First, there is increased digitalization and technological development in the Asia Pacific countries facilitating growth of autonomous enterprise. Some of the key factors that make the autonomous enterprise deployment suitable for the region are the strong IT environment peculiarities, the availability of key enabling technologies including and not limited to, cloud, big data analytics, AI and ML. The autonomous enterprise market in the Asia-Pacific region is growing due to favorable government policies and investment programs as well as cooperation between key players, research institutions, and startups.
Breakdown of primaries

The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:

• By Company Type: Tier 1 – 62%, Tier 2 – 23%, and Tier 3 – 15%
• By Designation: C-level –38%, D-level – 30%, and Managers – 22%
• By Region: North America – 38%, Europe – 15%, Asia Pacific – 35%, Middle East & Africa- 7%, and Latin America- 5%.
The major players in the Autonomous enterprise market are Microsoft(US), IBM (US), Check Point (US), Pegasystems (US), Cisco (US), SAP (Germany), Atos (France), AWS (US), Oracle (US), HPE (US), Sage (UK), NICE (Israel), Palo Alto Networks (US), Blue Prism (UK), UiPath (New York), Appian (US), Automation Anywhere (US), Tangentia (Canada), Drivenets (Israel), Nintex (US), Synder (US), Fetch.ai (England), AutomationEdge (US), Rocketbot (Chile), Rossum (UK), Digitate (US), and Mendix (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their autonomous enterprise footprint.

Research Coverage
The market study covers the autonomous enterprise market size across different segments. It aims to estimate the market size and the growth potential across various segments, including offering, business function, application, vertical, and regions. The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.
Key Benefits of Buying the Report
The report will help market leaders and new entrants with information on the closest approximations of the global autonomous enterprise market's revenue numbers 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. Moreover, the report will provide insights for stakeholders to understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (rising adoption of RPA, and progress being driven by convergence of cloud, data and IoT infrastructures), restraints (high cost of investment, regulatory and enterprise constraints, concerns related to data privacy), opportunities (generative AI Revolution Creating the Next Phase of Autonomous Enterprise) and challenges (ethical and legal constraints, and risks of Autonomous AI in Enterprise Environments) influencing the growth of the autonomous enterprise market.
Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product and service launches in the autonomous enterprise market. Market Development: Comprehensive information about lucrative markets – the report analyses various regions' autonomous enterprise markets. Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the autonomous enterprise market. Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Microsoft(US), IBM (US), Check Point (US), Pegasystems (US), Cisco (US), SAP (Germany), Atos (France), AWS (US), Oracle (US), HPE (US), Sage (UK), NICE (Israel), Palo Alto Networks (US), Blue Prism (UK), UiPath (New York), Appian (US), Automation Anywhere (US), Tangentia (Canada), Drivenets (Israel), Nintex (US), Synder (US), Fetch.ai (England), AutomationEdge (US), Rocketbot (Chile), Rossum (UK), Digitate (US), and Mendix (US).

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Table of Contents

1 INTRODUCTION 30
1.1 STUDY OBJECTIVES 30
1.2 MARKET DEFINITION 30
1.3 STUDY SCOPE 31
1.3.1 MARKET SEGMENTATION 31
1.3.2 INCLUSIONS AND EXCLUSIONS 32
1.3.3 YEARS CONSIDERED 32
1.4 CURRENCY CONSIDERED 32
1.5 STAKEHOLDERS 33
2 RESEARCH METHODOLOGY 34
2.1 RESEARCH DATA 34
2.1.1 SECONDARY DATA 35
2.1.1.1 Key data from secondary sources 35
2.1.2 PRIMARY DATA 35
2.1.2.1 Breakup of primary interviews 36
2.1.2.2 Key primary interview participants 36
2.1.2.3 Key insights from industry experts 36
2.2 MARKET BREAKUP AND DATA TRIANGULATION 37
2.3 MARKET SIZE ESTIMATION METHODOLOGY 38
2.3.1 TOP-DOWN APPROACH 38
2.3.1.1 Supply-side analysis 39
2.3.2 BOTTOM-UP APPROACH 39
2.3.3 AUTONOMOUS ENTERPRISE MARKET ESTIMATION: DEMAND-SIDE ANALYSIS 40
2.4 RESEARCH ASSUMPTIONS 41
2.5 RESEARCH LIMITATIONS 41
2.6 RISK ASSESSMENT 42
3 EXECUTIVE SUMMARY 43
4 PREMIUM INSIGHTS 46
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AUTONOMOUS ENTERPRISE MARKET 46
4.2 AUTONOMOUS ENTERPRISE MARKET, BY OFFERING, 2024 47
4.3 AUTONOMOUS ENTERPRISE MARKET, BY SOLUTION, 2024 47
4.4 AUTONOMOUS ENTERPRISE MARKET, BY SERVICE, 2024 48
4.5 AUTONOMOUS ENTERPRISE MARKET, BY BUSINESS FUNCTION, 2024 48
4.6 AUTONOMOUS ENTERPRISE MARKET, BY VERTICAL, 2024 48
4.7 NORTH AMERICA: AUTONOMOUS ENTERPRISE MARKET, BY APPLICATION AND OFFERING, 2024 49
5 MARKET OVERVIEW AND INDUSTRY TRENDS 50
5.1 INTRODUCTION 50
5.2 MARKET DYNAMICS 50
5.2.1 DRIVERS 51
5.2.1.1 Convergence of cloud, data, and IoT infrastructures 51
5.2.1.2 Rising adoption of RPA 51
5.2.2 RESTRAINTS 51
5.2.2.1 Concerns related to data privacy 51
5.2.2.2 Discrepancies between expectations and operational capabilities 52
5.2.2.3 High investment costs 52
5.2.3 OPPORTUNITIES 52
5.2.3.1 Emergence of generative AI 52
5.2.4 CHALLENGES 52
5.2.4.1 Ethical and legal constraints 52
5.2.4.2 Mitigating ethical and practical concerns in autonomous AI enterprise deployment 53
5.3 EVOLUTION OF AUTONOMOUS ENTERPRISE 53
5.4 ECOSYSTEM ANALYSIS 54
5.5 CASE STUDY ANALYSIS 56
5.5.1 CASE STUDY 1: KOMATSU AUSTRALIA ACHIEVES END-TO-END AUTOMATION WITH MICROSOFT POWER AUTOMATE 56
5.5.2 CASE STUDY 2: SOFTBANK OVERCOMING AUTOMATION BOTTLENECKS AND PIONEERING COMPREHENSIVE PROCESS AUTOMATION 56
5.5.3 CASE STUDY 3: AGCO ENHANCES EFFICIENCY AND REDUCES COSTS WITH INTELLIGENT RPA FOR SAP JOURNALING 57
5.5.4 CASE STUDY 4: SUN LIFE FINANCIAL STREAMLINING OPERATIONS AND MAXIMIZING ROI WITH PEGASYSTEMS 57
5.6 VALUE CHAIN ANALYSIS 58
5.7 REGULATORY LANDSCAPE 59
5.7.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 60
5.8 PATENT ANALYSIS 63
5.8.1 METHODOLOGY 63
5.8.1.1 List of major patents 64
5.9 TECHNOLOGY ANALYSIS 66
5.9.1 KEY TECHNOLOGIES 66
5.9.1.1 5G 66
5.9.1.2 Cloud computing 66
5.9.2 COMPLEMENTARY TECHNOLOGIES 66
5.9.2.1 Edge computing 66
5.9.2.2 Blockchain 66
5.9.2.3 Artificial intelligence (AI) and machine learning (ML) 67
 
5.9.3 ADJACENT TECHNOLOGIES 67
5.9.3.1 Augmented reality (AR) and virtual reality (VR) 67
5.9.3.2 Big data analytics 67
5.9.3.3 Cybersecurity solutions 67
5.10 PRICING ANALYSIS 68
5.10.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY RPA SOLUTION PER MONTH 68
5.10.2 INDICATIVE PRICING ANALYSIS FOR AUTONOMOUS ENTERPRISE ACCOUNT AUTOMATION SOLUTIONS (PER MONTH) 69
5.11 PORTER’S FIVE FORCES MODEL 69
5.11.1 THREAT OF NEW ENTRANTS 70
5.11.2 THREAT OF SUBSTITUTES 70
5.11.3 BARGAINING POWER OF BUYERS 70
5.11.4 BARGAINING POWER OF SUPPLIERS 71
5.11.5 INTENSITY OF COMPETITIVE RIVALRY 71
5.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 71
5.13 KEY STAKEHOLDERS AND BUYING CRITERIA 72
5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS 72
5.13.2 BUYING CRITERIA 72
5.14 CURRENT AND EMERGING BUSINESS MODELS 73
5.15 KEY CONFERENCES AND EVENTS, 2024–2025 74
5.16 TECHNOLOGY ROADMAP FOR AUTONOMOUS ENTERPRISE MARKET 75
5.16.1 AUTONOMOUS ENTERPRISE TECHNOLOGY ROADMAP TILL 2030 75
5.16.1.1 Short-term roadmap (2023–2025) 75
5.16.1.2 Mid-term roadmap (2026–2028) 75
5.16.1.3 Long-term roadmap (2028–2030) 75
5.17 BEST PRACTICES FOR AUTONOMOUS ENTERPRISE SOLUTIONS 75
5.18 INVESTMENT AND FUNDING SCENARIO 76
5.19 IMPACT OF AI/GENERATIVE AI ON AUTONOMOUS ENTERPRISE MARKET 77
5.19.1 INTEGRATING GENERATIVE AI IN AUTONOMOUS ENTERPRISE 77
5.19.2 USE CASES OF GENERATIVE AI IN AUTONOMOUS ENTERPRISE 77
5.19.3 BEST PRACTICES TO LEVERAGE GENERATIVE AI FOR AUTONOMOUS ENTERPRISE 79
5.19.4 TREND OF GENERATIVE AI IN AUTONOMOUS ENTERPRISE 79
5.19.5 FUTURE OF GENERATIVE AI IN AUTONOMOUS ENTERPRISE 79
 
6 AUTONOMOUS ENTERPRISE MARKET, BY OFFERING 80
6.1 INTRODUCTION 81
6.1.1 OFFERING: AUTONOMOUS ENTERPRISE MARKET DRIVERS 81
6.2 SOLUTIONS 82
6.2.1 ROBOTIC PROCESS AUTOMATION (RPA) 84
6.2.1.1 RPA makes enterprises much more responsive and agile 84
6.2.2 AUTONOMOUS NETWORKS 85
6.2.2.1 Autonomous networks ensure seamless operation by connecting and optimizing cloud, edge, and IoT system performances 85
6.2.3 ACCOUNTS AUTOMATION 86
6.2.3.1 Accounts automation decreases time, labor, and costs and enhances efficiency and accuracy 86
6.2.4 SECURITY AUTOMATION 87
6.2.4.1 Security automation uses technology for automated detection, analysis, and response to threats without manual intervention 87
6.2.5 AUTONOMOUS AGENTS 88
6.2.5.1 Autonomous agents break down intricate problems into manageable subtasks with minimal or no human intervention 88
6.2.6 OTHER SOLUTIONS 89
6.3 SERVICES 90
6.3.1 PROFESSIONAL SERVICES 91
6.3.1.1 Expert consulting and implementation for seamless autonomous technology adoption 91
6.3.2 MANAGED SERVICES 92
6.3.2.1 Ongoing support and management for optimal autonomous enterprise performance 92
7 AUTONOMOUS ENTERPRISE MARKET, BY BUSINESS FUNCTION 94
7.1 INTRODUCTION 95
7.1.1 BUSINESS FUNCTION: AUTONOMOUS ENTERPRISE MARKET DRIVERS 95
7.2 ACCOUNTING & FINANCE 96
7.2.1 IMPROVING FORECASTING AND FINANCIAL PLANNING MECHANISMS WITH AUTOMATION 96
7.3 IT 97
7.3.1 ENHANCING IT INFRASTRUCTURE WITH INTELLIGENT AUTOMATION 97
7.4 HUMAN RESOURCE 98
7.4.1 MANAGING HUMAN CAPITAL TO MAXIMIZE ORGANIZATIONAL OUTCOMES WITH AUTOMATION 98
7.5 SALES & MARKETING 98
7.5.1 HELPING IDENTIFY CUSTOMER PREFERENCES AND PREDICT BUYING BEHAVIORS WITH AUTOMATION 98
7.6 SUPPLY CHAIN & OPERATIONS 99
7.6.1 PREDICTING DEMAND, MANAGING INVENTORY LEVELS, REDUCING COSTS, AND IMPROVING EFFICIENCY WITH AUTOMATION 99
8 AUTONOMOUS ENTERPRISE MARKET, BY APPLICATION 101
8.1 INTRODUCTION 102
8.1.1 APPLICATION: AUTONOMOUS ENTERPRISE MARKET DRIVERS 102
8.2 PROCESS AUTOMATION 103
8.2.1 HELPS AUTOMATE COMPLEX BUSINESS PROCESSES AND TASKS 103
8.3 CUSTOMER & EMPLOYEE ENGAGEMENT 104
8.3.1 PROVIDES IMPROVED INTERACTIONS DUE TO VIRTUAL ASSISTANCE 104
8.4 ORDER MANAGEMENT 105
8.4.1 HELPS AVOID MISTAKES AND DELAYS BY RECEIVING ORDERS FASTER AND ACCURATELY 105
8.5 CREDIT EVALUATION & MANAGEMENT 106
8.5.1 ANALYZES VAST AMOUNTS OF FINANCIAL DATA AND PROVIDES ACCURATE CREDIT SCORES AND RISK ASSESSMENTS 106
8.6 PREDICTIVE MAINTENANCE 106
8.6.1 HELPS PREVENT PRODUCTION FAILURES AND RELATED EXPENSES 106
8.7 OTHER APPLICATIONS 107
9 AUTONOMOUS ENTERPRISE MARKET, BY VERTICAL 109
9.1 INTRODUCTION 110
9.1.1 VERTICAL: AUTONOMOUS ENTERPRISE MARKET DRIVERS 110
9.2 BFSI 111
9.2.1 ENHANCING EFFICIENCY AND SECURITY IN BFSI 111
9.2.2 BFSI: USE CASES 112
9.3 IT & ITES 112
9.3.1 REVOLUTIONIZING IT OPERATIONS AND SERVICE DELIVERY 112
9.3.2 IT & ITES: USE CASES 113
9.4 TELECOM 113
9.4.1 DRIVING INNOVATION AND RESILIENCE IN TELECOM INDUSTRY 113
9.4.2 TELECOM: USE CASES 114
9.5 RETAIL & E-COMMERCE 114
9.5.1 TRANSFORMING RETAIL OPERATIONS AND CUSTOMER EXPERIENCES 114
9.5.2 RETAIL & E-COMMERCE: USE CASES 115
9.6 MEDIA & ENTERTAINMENT 115
9.6.1 PERSONALIZING CONTENT AND OPTIMIZING MEDIA OPERATIONS 115
9.6.2 MEDIA & ENTERTAINMENT: USE CASES 116
9.7 TRANSPORTATION & LOGISTICS 116
9.7.1 OPTIMIZING LOGISTICS AND ENSURING TIMELY DELIVERIES 116
9.7.2 TRANSPORTATION & LOGISTICS: USE CASES 117
9.8 HEALTHCARE 117
9.8.1 ENHANCING PATIENT CARE AND OPERATIONAL EFFICIENCY IN HEALTHCARE 117
9.8.2 HEALTHCARE: USE CASES 118
 
9.9 MANUFACTURING 118
9.9.1 DRIVING EFFICIENCY AND INNOVATION IN MANUFACTURING 118
9.9.2 MANUFACTURING: USE CASES 119
9.10 GOVERNMENT & DEFENSE 119
9.10.1 ENHANCING SECURITY AND EFFICIENCY IN GOVERNMENT OPERATIONS 119
9.10.2 GOVERNMENT & DEFENSE: USE CASES 120
9.11 OTHER VERTICALS 120
10 AUTONOMOUS ENTERPRISE MARKET, BY REGION 122
10.1 INTRODUCTION 123
10.2 NORTH AMERICA 124
10.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA 124
10.2.2 US 130
10.2.2.1 Growing adoption of business intelligence, data analytics, and AI to increase demand for autonomous enterprise solutions 130
10.2.3 CANADA 134
10.2.3.1 Growing adoption of automation-based technologies to drive market 134
10.3 EUROPE 138
10.3.1 MACROECONOMIC OUTLOOK FOR EUROPE 138
10.3.2 UK 143
10.3.2.1 Government support and presence of major vendors to drive market 143
10.3.3 GERMANY 147
10.3.3.1 Technological advancements and increased adoption of autonomous enterprise solutions to drive market 147
10.3.4 FRANCE 147
10.3.4.1 Increasing demand for automation and efficiency in business operations to drive market 147
10.3.5 ITALY 148
10.3.5.1 Increasing adoption of Industry 4.0 technologies and government commitment to fostering innovation to drive market 148
10.3.6 SPAIN 151
10.3.6.1 Adoption of autonomous enterprises in various sectors to drive market 151
10.3.7 NORDIC COUNTRIES 152
10.3.7.1 Strong focus on digitalization, robust talent pool, and supportive government policies to drive market 152
10.3.8 REST OF EUROPE 152
 
10.4 ASIA PACIFIC 152
10.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC 153
10.4.2 CHINA 159
10.4.2.1 Increased government investment in new technologies to drive market 159
10.4.3 JAPAN 163
10.4.3.1 Advanced infrastructure and government investments in latest technologies to drive market 163
10.4.4 INDIA 164
10.4.4.1 Focus on enhancing connectivity and promoting advanced technology usage to drive market 164
10.4.5 AUSTRALIA & NEW ZEALAND 168
10.4.5.1 Increasing adoption of emerging technologies to drive market 168
10.4.6 SOUTH KOREA 168
10.4.6.1 Strong focus on developing skilled workforce and enhancing digital technology infrastructure to drive market 168
10.4.7 REST OF ASIA PACIFIC 169
10.5 MIDDLE EAST & AFRICA 169
10.5.1 MACROECONOMIC OUTLOOK FOR MIDDLE EAST & AFRICA 169
10.5.2 MIDDLE EAST 174
10.5.2.1 UAE 179
10.5.2.1.1 Increasing use of AI in healthcare, manufacturing, security, and automotive industries to drive market 179
10.5.2.2 KSA 180
10.5.2.2.1 Substantial investments in digital infrastructure to drive market 180
10.5.2.3 Bahrain 183
10.5.2.3.1 Focus of organizations on utilizing automation to achieve strategic objectives to drive market 183
10.5.2.4 Kuwait 184
10.5.2.4.1 Focus on knowledge-based economy to drive market 184
10.5.2.5 Rest of Middle East 184
10.5.3 AFRICA 184
10.5.3.1 Growing focus on digital transformation and innovation to drive market 184
10.6 LATIN AMERICA 185
10.6.1 MACROECONOMIC OUTLOOK FOR LATIN AMERICA 185
10.6.2 BRAZIL 190
10.6.2.1 Increasing adoption of digital technology to drive market 190
10.6.3 MEXICO 194
10.6.3.1 Focus on advancing digital infrastructure to drive market 194
10.6.4 REST OF LATIN AMERICA 194
 
11 COMPETITIVE LANDSCAPE 195
11.1 INTRODUCTION 195
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 195
11.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY AUTONOMOUS ENTERPRISE MARKET VENDORS 195
11.3 REVENUE ANALYSIS 196
11.3.1 MICROSOFT 196
11.3.2 IBM 197
11.3.3 CISCO 197
11.3.4 CHECK POINT SOFTWARE 197
11.3.5 PEGASYSTEMS 197
11.4 MARKET SHARE ANALYSIS 197
11.4.1 MARKET RANKING ANALYSIS 198
11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 198
11.5.1 STARS 198
11.5.2 EMERGING LEADERS 198
11.5.3 PERVASIVE PLAYERS 199
11.5.4 PARTICIPANTS 199
11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 200
11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 202
11.6.1 PROGRESSIVE COMPANIES 202
11.6.2 RESPONSIVE COMPANIES 203
11.6.3 DYNAMIC COMPANIES 203
11.6.4 STARTING BLOCKS 203
11.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 204
11.6.5.1 Detailed list of key startups/SMEs 204
11.6.5.2 Competitive benchmarking of key startups/SMEs 205
11.7 COMPETITIVE SCENARIO AND TRENDS 205
11.7.1 PRODUCT LAUNCHES & ENHANCEMENTS 205
11.7.2 DEALS 206
11.8 BRAND/PRODUCT COMPARISON 208
11.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY AUTONOMOUS ENTERPRISE MARKET VENDORS 209
12 COMPANY PROFILES 211
12.1 KEY PLAYERS 211
12.1.1 MICROSOFT 211
12.1.1.1 Business overview 211
12.1.1.2 Products/Solutions/Services offered 212
12.1.1.3 Recent developments 213
12.1.1.3.1 Product launches & enhancements 213
12.1.1.3.2 Deals 213
12.1.1.4 MnM view 214
12.1.1.4.1 Key strengths 214
12.1.1.4.2 Strategic choices 214
12.1.1.4.3 Weaknesses and competitive threats 214
12.1.2 IBM 215
12.1.2.1 Business overview 215
12.1.2.2 Products/Solutions/Services offered 216
12.1.2.3 Recent developments 217
12.1.2.3.1 Deals 217
12.1.2.4 MnM view 218
12.1.2.4.1 Key strengths 218
12.1.2.4.2 Strategic choices 218
12.1.2.4.3 Weaknesses and competitive threats 218
12.1.3 CHECK POINT SOFTWARE 219
12.1.3.1 Business overview 219
12.1.3.2 Products/Solutions/Services offered 220
12.1.3.3 Recent developments 220
12.1.3.3.1 Product launches & enhancements 220
12.1.3.3.2 Deals 221
12.1.3.4 MnM view 221
12.1.3.4.1 Right to win 221
12.1.3.4.2 Strategic choices 221
12.1.3.4.3 Weaknesses and competitive threats 221
12.1.4 PEGASYSTEMS 222
12.1.4.1 Business overview 222
12.1.4.2 Products/Solutions/Services offered 223
12.1.4.3 Recent developments 225
12.1.4.3.1 Product launches & enhancements 225
12.1.4.3.2 Deals 225
12.1.4.4 MnM view 226
12.1.4.4.1 Key strengths 226
12.1.4.4.2 Strategic choices 226
12.1.4.4.3 Weaknesses and competitive threats 226
12.1.5 CISCO SYSTEMS 227
12.1.5.1 Business overview 227
12.1.5.2 Products/Solutions/Services offered 228
12.1.5.3 Recent developments 229
12.1.5.3.1 Deals 229
12.1.5.4 MnM view 230
12.1.5.4.1 Key strengths 230
12.1.5.4.2 Strategic choices 230
12.1.5.4.3 Weaknesses and competitive threats 230
12.1.6 SAP 231
12.1.6.1 Business overview 231
12.1.6.2 Products/Solutions/Services offered 232
12.1.6.3 Recent developments 233
12.1.6.3.1 Deals 233
12.1.7 HPE 235
12.1.7.1 Business overview 235
12.1.7.2 Products/Solutions/Services offered 236
12.1.7.3 Recent developments 237
12.1.7.3.1 Deals 237
12.1.8 ATOS 238
12.1.8.1 Business overview 238
12.1.8.2 Products/Solutions/Services offered 239
12.1.8.3 Recent developments 240
12.1.8.3.1 Product launches & enhancements 240
12.1.8.3.2 Deals 240
12.1.9 ORACLE 241
12.1.9.1 Business overview 241
12.1.9.2 Products/Solutions/Services offered 242
12.1.9.3 Recent developments 243
12.1.9.3.1 Deals 243
12.1.10 AMAZON WEB SERVICES 244
12.1.10.1 Business overview 244
12.1.10.2 Products/Solutions/Services offered 245
12.1.10.3 Recent developments 246
12.1.10.3.1 Deals 246
12.1.11 SAGE 247
12.1.12 NICE 248
12.1.13 PALO ALTO NETWORKS 249
12.1.14 BLUE PRISM 250
12.1.15 UIPATH 251
12.1.16 APPIAN 251
12.1.17 AUTOMATION ANYWHERE 252
12.2 STARTUPS/SMES 253
12.2.1 TANGENTIA 253
12.2.2 DRIVENETS 253
12.2.3 NINTEX 254
12.2.4 SYNDER 254
12.2.5 FETCH.AI 255
12.2.6 ROSSUM 255
12.2.7 DIGITATE 256
12.2.8 MENDIX 257
12.2.9 ROCKETBOT 257
12.2.10 AUTOMATIONEDGE 258
13 ADJACENT/RELATED MARKETS 259
13.1 INTRODUCTION 259
13.2 RPA AND HYPERAUTOMATION MARKET – GLOBAL FORECAST TO 2027 259
13.2.1 MARKET DEFINITION 259
13.2.2 MARKET OVERVIEW 259
13.2.2.1 RPA and hyperautomation market, by component 259
13.2.2.2 RPA and hyperautomation market, by deployment mode 260
13.2.2.3 RPA and hyperautomation market, by organization size 261
13.2.2.4 RPA and hyperautomation market, by business function 261
13.2.2.5 RPA and hyperautomation market, by vertical 262
13.2.2.6 RPA and hyperautomation market, by region 263
13.3 SECURITY AUTOMATION MARKET – GLOBAL FORECAST TO 2028 264
13.3.1 MARKET DEFINITION 264
13.3.2 MARKET OVERVIEW 264
13.3.2.1 Security automation market, by offering 264
13.3.2.2 Security automation market, by technology 264
13.3.2.3 Security automation market, by application 265
13.3.2.4 Security automation market, by code type 266
13.3.2.5 Security automation market, by vertical 266
13.3.2.6 Security automation market, by region 267
14 APPENDIX 269
14.1 DISCUSSION GUIDE 269
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 273
14.3 CUSTOMIZATION OPTIONS 275
14.4 RELATED REPORTS 275
14.5 AUTHOR DETAILS 276