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Edge Computing M&A Analysis

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Edge computing is redefining the cloud computing space. The growing de-emphasis on the cloud’s role in connected environments is expected to lead to smarter and faster autonomous solutions that have the potential to reshape the IoT landscape. Edge computing will transform the IoT landscape into a hyperconnected environment where the restrictions related to latency and computation capacity will be eliminated. Many companies are transforming their business models to attain edge computing capabilities necessary for offering end to end services.
The recent years have witnessed a number of mergers and acquisitions in the edge computing space for IoT services, with the increase in M&A activities representing the industry’s conundrum of cloud, edge, and hybrid architectures, and the race to achieve a considerable market share.

This report includes an analysis of approximately 60 deals, along with a detailed technology overview and the purpose of the acquisitions. The M&A analysis section offers a comprehensive view of the transactions around edge computing, covering different technology aspects including data center, AI, security, software-defined WAN (SD-WAN), analytics, interoperability, multi-access edge computing (MEC), and others.

To purchase the full report, write to us at info@netscribes.com

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Edge Computing M&A Analysis

  1. 1. EDGE COMPUTING M&A Trend Analysis and the Acquired Patent Capabilities October 2019
  2. 2. TABLE OF CONTENTS Introduction............5 Rise of Edge Computing Solutions............6 Edge Computing Use Cases............7 Key Drivers of Edge Computing............9 Need to Invest in Edge Computing............10 1 2 3 Mergers and Acquisitions in Edge Computing: Trends between 2015 – 2019............12 Year wise Analysis............13 Geography Analysis............13 Acquirer Landscape............14 Technology Breakdown............14 Acquisition Trend #1 Data Center............16 Acquisition Trend #2 SD-WAN............18 Acquisition Trend #3 Artificial Intelligence (AI)............20 Acquisition Trend #4 Security............22 Acquisition Trend #5 Analytics............23 Acquisition Trend #6 Multi-access Edge Computing(MEC)............24 Acquisition Trend #7 Interoperability Solutions............25 Acquisition Trend #8 Embedded Technologies............26 Acquisition Trend #9 Other Capabilities............27 Patent Capabilities of the Target Companies............30 Methodology............30 The Acquired Technology Landscape............31 Breakdown of Key Technology Areas............32
  3. 3. 4 Patent Coverage of Acquired Target Companies............34 Technology Distribution of Top 5 Assignees............35 Patent Coverage of Other Assignees............38 Patent Analysis: Concluding Remarks............40 Insights and Recommendations..................42 Time to Market Strategies............42 ROI on the High Value Deals............42 Growing Interest in New Technology Areas............43 Support for Multi-cloud and Hybrid Architectures............43 Opportunities in Edge Computing............44 Integration of Blockchain Technologies with the Edge Computing Architecture............44 AI-based Solutions not on the Radar of Acquiring Companies............44 5G............ 45 Appendix Detailed Overview of Deals..................47 References..................58 TABLE OF CONTENTS 5 6
  4. 4. Edge Computing: M&A Trend Analysis Cloud computing has traditionally been the go-to strategy for most telecom operators, enterprise IT and Internet of Things (IoT) solution providers, industry 4.0 operators, and other service providers in a connected environment. With the accelerated growth in the adoption of IoT devices, it is becoming increasingly difficult for centralized cloud architectures to handle dynamic loads leading to network traffic, bandwidth and latency issues, and lack of efficient and reliable data processing. This is driving the growth of edge computing. INTRODUCTION 5
  5. 5. Figure 1: Computing Architectures from Chips to Cloud RISE OF EDGE COMPUTING SOLUTIONS Edge computing is not a new concept. It has evolved in the last few years and has been the most prominent trend of the IoT ecosystem. Discussions related to IoT always start with the level of readiness for the global proliferation of connected devices and end at the need for decentralized solutions that can eliminate several challenges. The evolution has now reached a point where several industries have already started adopting edge computing architectures and technologies for various business cases. Therefore, it is critical to discuss the latest developments in the space and gauge the degree of shift that is happening between cloud and edge computing environments. Edge computing indicates moving computing resources closer to the edge of the network where the data is generated – sensors, vehicles, robots, cameras, mobile phones, wearable devices, etc. However, the definitions change based on the use cases and the amount of computation happening at the cloud, edge data centers, edge devices, or directly on the device. Figure 1 represents the computing architectures from a centralized cloud to sensors and chips. Centralized cloud infrastructure includes data centers located at several global locations. Although these facilities are distant from the IncreasingProcessingPower Edge Sensors/Chips ReducingLatency Centralized Cloud Edge Computing: M&A Trend Analysis Edge Infrastructure Edge Devices 6
  6. 6. network edge (source of data generation), they offer high capacity computation power and optimum networking resources. As we move closer to the edge of the network, from the cloud to edge data centers to devices, the computation capacity gradually decreases and is lowest on the semiconductor chips. However, this trend is changing, with breakthrough innovations that are happening in the semiconductor domain for increasing the computation power of edge devices. EDGE COMPUTING USE CASES About latency, on-device computing solutions offer the fastest results by employing the latest AI technologies, processors and related architectures, and analytics. Many industry participants are undertaking large investments for building a strategy for edge computing with some of the companies aiming latencies as low as 5 milliseconds for time- and bandwidth-sensitive applications.(1) Industries are recognizing the benefits of edge computing and are exploring suitable use cases that would help them garner maximum benefits. Most of them are deploying immersive technologies, autonomous solutions, and other IoT technologies that demand for near real time latency for efficient outcomes. Industrial IoT (IIoT) is expected to benefit the most, given the amount of data generation and computation involved in manufacturing environments. To cite an instance, edge analytics has proved to be a game changer for a manufacturing plant that deploys AI for computation -intensive tasks such as predictive maintenance of expensive machinery and quality control. Autonomous vehicle is another use case where innovative processors undertake maximum computation of data from multitude of sensors locally and send only limited information to the cloud, which is also preferably an edge data center in the vicinity. Retailers can leverage latency-sensitive immersive technologies for improving customer experience and boosting personalization in brick and mortar as well as for offering smart online services. Figure 2 highlights the latency and bandwidth requirements of various IoT use cases. Edge computing architectures are expected to drive smart city use cases including security and video surveillance, drones for smart monitoring applications, mobility and transportation, smart grids, etc. Healthcare applications like remote surgeries and tactile internet are the most demanding use cases in a connected environment that require a latency of approximately one millisecond with high bandwidth throughput. These medical practices will become prevalent with the evolution of mobile edge computing fueled by next generation 5G technologies. Edge Computing: M&A Trend Analysis7
  7. 7. KEY DRIVERS OF EDGE COMPUTING Deemphasizing the cloud’s role in connected environments is expected to lead to autonomous solutions that have the potential to transform the IoT landscape at a business as well as a consumer level. Edge computing promises the decentralized architectures that are vital for improving performance, enhancing security, and efficiency of IoT applications. Figure 3 discloses the key drivers of edge computing. Near real time processing and analysis in milliseconds Distributed computing enables optimized bandwidth utilization End user has increased control on their data Commercialization of 5G will boost the growth of edge computing Innovative networking technolgies employed in the decentralized architecture increase uptime Adaptable and modular architectures eliminate the scalability issues that were traditionally associated with centralized solutions Cost-effective computing resources, software-defined solutions, and reduced data transmission costs Increase operational efficiencies at different levels from sensors to data transmission Figure 3: Key Drivers of Edge Computing Source: Netscribes' Secondary Research LatencyEfficiency ReducedCost Scalability Reliability 5G Privacy Bandwidth Edge Computing: M&A Trend Analysis Key Drivers 9
  8. 8. Edge Computing: M&A Trend Analysis NEED TO INVEST IN EDGE COMPUTING Edge computing technologies are disrupting the cloud computing space. Companies are transforming their business models to attain edge computing capabilities necessary for offering end to end services. Startups with innovative networking technologies and software-defined architectures are aiming to increase the flexibility required for hybrid network architectures. Emerging technologies like AI and neuromorphic computing are changing data processing and decision-making. Data center architectures are being redefined with easily available off the shelf, cost-effective and efficient solutions in the market. The upcoming 5G networks are going to fuel the expansion of edge infrastructure for high speed communication. Edge Computing: M&A Trend Analysis Edge computing is an inevitable trend that will transform the IoT landscape into a hyperconnected environment where the restrictions related to latency and computation capacity will be eliminated. It is important for the incumbents to keep up the pace of innovations to stay ahead of the competition. Also, companies from other industries will also cash-in the opportunity at hand. The recent years have witnessed a wave of mergers and acquisitions in the space of edge computing for IoT, with the increase in M&A activity representing the industry’s conundrum of cloud, edge, and hybrid architectures, and the race to achieve considerable market share. 10
  9. 9. 11
  10. 10. MERGERS AND ACQUISITIONS IN EDGE COMPUTING: Companies across sectors are assessing the impact of edge computation and are accelerating acquisition strategies in the domain to unlock new IoT business opportunities. The increased momentum of the M&A activity is key evidence of how organizations are focusing on edge strategy to reap major benefits as massive number of connected devices proliferates. According to the M&A analysis, the transactions in the edge computing domain can be outlined into five major categories as shown in Table 1. Type of Deal Intent Description Example Tuck-in Acquisitions Capability Addition Large company acquiring smaller companies to acquire capabilities like technology, patents, skills, customers, etc., focusing on the integration of gained capabilities into the acquirer’s operating model. Veea acquired Virtuosys; Microsoft acquired Express Logic Business Line Expansion Largely Complementary Buying company to get into a new line of business and build a new business model Munich Re acquired relayr Vertical Integration Stack Expansion Acquiring a company which is a supplier to the buyer or a downstream service provider within the value chain Xilinx buying Deephi Consolidation Scaling up Acquiring a competitor to increase market share and for expanding existing services Equinix buying Metronode Roll-ups Platform Strategy Private equity and venture capital firms buying multiple companies to create platforms Zephyrtel buying Vasona Networks Table 1: M&A Framework for Edge Computing TRENDS BETWEEN 2015 – 2019 Edge Computing: M&A Trend Analysis12
  11. 11. Edge Computing: M&A Trend Analysis Edge Computing: M&A Trend Analysis YEAR WISE ANALYSIS 0 5 10 15 20 25 2015 2016 2017 2018 2019 Edge Computing: Yearly M&A Trend GEOGRAPHY ANALYSIS Figure 5 provides an overview of the edge computing transactions globally. The target companies spanned geographies with US-based target companies attracting maximum acquirers to make strategic advancements in edge computing. The US registered more than 70% of the transactions, that will form a route for enabling the edge computing use cases with changing consumer and business expectations. The high number of US deals is proof of the technology adoption in the US market before any other region. US dominates with a total of 44 deals in the edge computing market Other countries including South Africa, England, Canada, and Israel had one deal each. European and Asian countries are distant followers with 4 and 3 deals respectively. Geographical Distribution of the Deals Figure 5: M&A Across Geographies Source: Netscribes' Secondary Research Since 2015, M&A activity in the edge computing domain has been growing with the rise in IoT use cases and the need to deploy computing systems at the edge. Figure 4 suggests that the transaction count started increasing in 2017 when the companies realized the need to shift their cloud capabilities to the edge. In 2018, the maximum number of deals were struck in the edge computing space, a trend that can be seen as strengthening in 2019. Figure 4: Yearly Trend Analysis Source: Netscribes' Secondary Research 30 NumberofDeals Years 13
  12. 12. 2 2 3 3 3 4 4 4 5 7 9 13 Edge Computing: M&A Trend Analysis ACQUIRER LANDSCAPE The leading buyers in the edge computing space include software providers, data center services providers, and semiconductor companies. A majority of the buyers with an existing software portfolio in communication and networking technologies, enterprise applications, analytics, and IoT platforms, are focused on acquiring complementary capabilities. And while most semiconductor companies are focusing on developing a portfolio of on-device intelligence technologies by acquiring AI innovators, some are entering a race for driving data center interconnectivity. Type of Buyers in the Edge Computing Market TECHNOLOGY BREAKDOWN Acquiring companies entered the edge computing market for bringing data centers closer to the users, as a part of their overall edge computing strategy. A majority of the data center providers started buying colocation facilities within a region, increasing their infrastructure presence as a measure for handling different types of workloads. While many other micro data center and cabinet innovators continued to grab attention with their modular designs, data center interconnectivity technologies continued to attract large sums in investment. *Others include technology areas including operating system, RISC IP, enterprise middleware, cloud native, microservices, sensor modules, networking, connectivity, and blockchain M&A Activity: Technology Distribution in the Edge Computing Space 24% 17% 14% 12% 8% 7% 7% 5% 3% 3% 14
  13. 13. Edge Computing: M&A Trend Analysis AI and security companies are next on the list. The trend is only expected to strengthen, with the data center, AI, and security companies combined accounting for half of all M&A activity in the edge computing market. Data center, AI, and security-focused M&A activity is spread throughout the five-year period, with the majority of them taking place over 2018 and 2019. Over a 2-year period, the deal count has been significant, and the transactions have been done to acquire different technology capabilities. Network virtualization has emerged as a key trend that is driving communication technologies and IoT networks. Apart from SD-WAN companies, other entities working on virtualization technologies including cloud native and microservices architectures are also on the radar of buyers. The year 2018 witnessed M&A activities across technology domains such as AI, MEC, analytics, data center, SD-WAN, embedded technology, mesh IoT, security, blockchain, edge modules, and IoT managed services for edge computing applications. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% TechnologyCoverageintheTrend Years 2015 2016 2017 2018 2019 Breakdown of Technologies Over Years 1 1 1 2 2 2 1 3 1 2 1 3 5 1 5 2 2 1 5 2 1 2 1 1 1 1 2 5 1 1 15
  14. 14. DATA CENTER ACQUISITION TREND #1 2016 2017 2018 LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO 2019 Majority of the deals in the edge computing market are related to data centers with the aim of expanding geographical presence and developing micro data centers Data Center Focused Acquisition Trend for Edge Computing Source: Netscribes’ Secondary Research Since data centers and edge computing must be in synergy for ensuring better outcomes, almost all the buyers in this category are focusing on expanding their geographical data center footprint while preparing for the age of edge computing. Going ahead, data centers will not be represented by the size of facilities but their proximity to the end user. Therefore, micro data centers are rapidly gaining traction owing to their modular size, cost-effective design, and the ability to handle a variety of workloads within an IoT network. Compass Datacenters, Scalematrix, and EdgeConnex are some major acquiring companies that are focusing on micro data centers. Compass Datacenters has acquired two companies (EdgePoint System, BitBox) for building a portfolio of data centers that can support workloads from the core to the edge of Edge Computing: M&A Trend Analysis16
  15. 15. Data Center Interconnect Technologies Data center interconnect technologies feature prominently among the high value deals in the edge computing space. To cite an instance, Mellanox, a provider of smart network interface cards (NICs), switches, and ethernet and InfiniBand interconnect solutions for edge and hyperscale data centers, has been acquired by Nvidia. The acquisition will enable Nvidia to integrate Mellanox's accelerated networking technologies with Nvidia EGX, a computing platform developed for AI at the edge. Intel has acquired Barefoot Networks, a provider of P-4 programmable Tofino ethernet switches for interconnecting data centers from various cloud service providers. This acquisition enables Intel to strengthen its cloud networking and infrastructure portfolio with integration of high-speed data center interconnects, P4 compilers, driver software, switch silicon development, network telemetry, and computational networking. Data center interconnect technologies are a vital tool for developing offloading routines for certain processing procedures that would otherwise run on switches and adapters of the data centers. Also, these approaches allow containerized applications to run on the switch itself without putting too much load. Both Mellanox and Barefoot Networks promote the offload models with flexible data center switching and interconnect technologies that are key to the dynamic landscape of hyperscale cloud architectures. Such acquisitions will become more relevant in the telecom and IoT market once the MEC architectures for 5G and edge computing come into play. the network. EdgePoint System offers a fully integrated edge data center solution per customer requirements, while BitBox monitors and maintains edge computing facilities for its customers. The acquisition of Colo Atl, a data center provider in Atlanta may not be significant in terms of pure-play data centers, but is a landmark deal for communication service providers looking to prepare for the future of edge computing. With this acquisition, American Tower has expanded in the data center space with carrier-neutral, colocation services for edge computing applications. Colo Atl's portfolio will augment American Tower’s wireless infrastructure to prepare for the future of integration between data centers, telecom towers, and antennas. The number of such acquisitions is only likely to grow, especially with the rise in the number of startups developing micro data centers, with self-contained, plug-and-play features that can be leveraged for deployments at various locations in an existing wireless network. Edge Computing: M&A Trend Analysis17
  16. 16. The M&A trend in the above sections indicate the technologies, skills, product portfolio and geographic footprint gained through the deals. Another factor that is critical for filling a technological gap in the acquirer’s portfolio is the acquisition of patent portfolio of the target companies. Patent acquisition leads to evolution in business strategies and paves the path for exploring new revenue Note: Target companies acquired for data centers are considered beyond the ambit of this analysis. Also, the patent portfolio analysis of Aruba Networks was out of the scope of this study. opportunities. IP acquisition is valuable for technology companies for innovating in the edge computing space with a goal to develop next generation solutions. Therefore, an assessment of the patent capabilities acquired in the M&A deals has been conducted to understand the IP value creation with the deals. Edge Computing: M&A Trend Analysis PATENT CAPABILITIES OF THE TARGET COMPANIES Patent analysis of the acquired companies was conducted to understand the IP secured through the M&A transactions in the edge computing domain. The research activities covered in the approach include: • An assignee-based search to analyze the patent portfolio of the companies. Inventor-based search strategies were not included in the scope of the study • Patent categorization to understand the technology distribution of the patent portfolio of the different companies • Patent publications that have been re-assigned to the buyer have been considered under the target company’s name for standardization. • Only unique patent publications were considered from a family of patents METHODOLOGY 30
  17. 17. THE ACQUIRED TECHNOLOGY LANDSCAPE An analysis of patent portfolios of target companies in the edge computing domain provides an insight into the various types of technologies that are gaining traction. The study highlights that most of the acquired patent capabilities were in the field of microprocessors due to the deal between ----------------------------------------------------------------------- -------------------------------------------. Similarly, wireless communication and mesh networking space also indicates patent portfolios from individual target companies, ----------------------- respectively. Furthermore, AI and security related patent capabilities are spread across multiple buyers for various focus areas. Acquired Technology Landscape 43 26 19 16 14 13 11 8 7 6 6 5 5 5 2 Edge Computing: M&A Trend Analysis31
  18. 18. PATENT COVERAGE OF ACQUIRED TARGET COMPANIES XXXX XXXX XXXX xxxx xxxx xxxx xxxx xxxxxxxx xxxx xxxx xxxx xxxxxxxx xxxx xxxx Virtuosys xxxx xxxx xxxx xxxxxxxx xxxx 57 30 23 14 8 5 5 2 2 2 3 4 13 4 23 2 2 2 1 1 1 1 The top 5 patent assignees including ----------------------------------------------------- ---------- have maximum number (in double digits) of relevant patent publications in the edge computing space. The patent focus areas of these acquired companies include --------------- -------------------------------------------------. Edge Computing: M&A Trend Analysis34
  19. 19. Edge Computing: M&A Trend Analysis TECHNOLOGY DISTRIBUTION OF TOP FIVE ASSIGNEES Patent Portfolio of xxxx Patent Portfolio of Beijing xxxx Patent Portfolio of xxxx Patent Portfolio of xxxx Patent Portfolio of xxxx Instruction Set Architecture 14 7 23 42 1 1 1 4 4 313 5 17 Processors Computer Vision Artificial Intelligence Artificial intelligence 35
  20. 20. MIPS Technologies has a patent portfolio covering various solutions and architectures for ensuring high-performance, low-power consumption, and efficient operation of electronic devices. ------------------------ ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ---------------------. Instruction Set Architectures (ISA) for hardware virtualization forms -------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- -------------------------------------- are based on the principles of virtualization and SIMD. These architectures work in combination with---------------------------------enha- ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ----------, and interrupt vectors and predictors for automated handling. Deephi’s patent portfolio focuses on neural networks, deep learning, and computer vision techniques with an intent to address-------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ------------------- for machine intelligence applications. Another highlight from the company’s patent filing coverage is the Edge Computing: M&A Trend Analysis Deephi’s patent portfolio focuses on neural 36
  21. 21. exploration of ---------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------, and monitoring methods of deep learning processors. ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- --------------------. ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------. ----------------------------------------- ---------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----. ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ---------------. ---------------- ------------------------- ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ---------------------------. Edge Computing: M&A Trend Analysis LOGO LOGO LOGO 37
  22. 22. PATENT COVERAGE OF OTHER ASSIGNEES Description Assignees Description of the Patent Portfolio ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- -----------------------------------------------------. ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- -------------------------------------------------------------. ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ----------------------------. Daho Networks’ patent portfolio focuses on network virtualization techniques related to optical fiber signaling and routing. The patent publications disclose control systems for externally managing software-defined network components and dynamically adjusting WAN topologies of leased optical circuits. The solutions including out-of-band switching, logic fiber wavelength division multiplexing and virtual channel controlling are deployed to ensure reliability and scalability of the network. ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- --------------------------------------------------------. ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- --------------------------------------------------------------------. ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ------------------------------. ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- -----------------------------------------------------------------------------. Edge Computing: M&A Trend Analysis LOGO LOGO LOGO LOGO LOGO LOGO LOGO 38
  23. 23. ---------------------------------------------------------------------------------------- ---------------------------------------------------------------------------------------- -----------------------------------------. ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- -----------------------------------------------. ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------. ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------. ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ---------------------------. ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- -------------------------. ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ---------------------------------. ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------- -----------------. Assignees Description of the Patent Portfolio Edge Computing: M&A Trend Analysis LOGO LOGO LOGO LOGO LOGO LOGO LOGO LOGO 39
  24. 24. PATENT ANALYSIS: CONCLUDING REMARKS The overall patent analysis of the target companies highlights that acquired IP capabilities ------------------------------- ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ --------. Global patent filings also provide the acquirers an opportunity to explore new geographies for business. ------------------ ------------------------------------------ ------------------------------------------ --------. Edge Computing: M&A Trend Analysis
  25. 25. 41Reinforcement Learning: Defining Next-Generation Artificial Intelligence Applications41
  26. 26. Notable acquisitions related to data centers have been financially on the higher side as compared to the other deals. ------------- ---------------------------------------- ---------------------------------------- ---------------------------------------- ---------------------------------------- ---------------------------------------- ---------------------------------------- ---------------------------------------- ---------------------------------------- ----------------------. The transaction is expected to complete in the third quarter of 2019. Since xxxx has raised a total of USD 155 million, the valuation of the company is expected to be on a higher side as well. Moreover, both these deals are at a nascent stage for the companies to appropriately define ROI. ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------. The last five years have witnessed the increased activity of innovations in the edge computing space. Hundreds of startups have come into the picture with billions of dollars being invested in the new developments. Naturally, the collaborations between the technology and industry participants increase at every step of innovation. Many are taking the inorganic route to achieve the capabilities required for getting ready for the age of edge computing. Some of these companies already have a portfolio in place and are augmenting it with complementary capabilities. Other companies with traditional solutions and services are entering a new target market with the acquisition of innovative entities in the domain. TIME TO MARKET STRATEGIES Edge computing is evolving in stages. While it is still time for real world implementation of an autonomous on-chip or on-device computing solution, the transformation of edge data center architectures is already happening at a considerable pace. Therefore, participants are -------- --------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------- will reap them early benefits. ROI ON THE HIGH VALUE DEALS Edge Computing: M&A Trend Analysis INSIGHTS AND RECOMMENDATIONS 42
  27. 27. GROWING INTEREST IN NEW TECHNOLOGY AREAS Accelerated growth has been observed in two technology areas that offer promising perspectives for the age of the hyperconnected world. ------------------------------------- ------------------------------------- ------------------------------------- ------------------------------------- -----------------------. ------------------------------------- ------------------------------------- ------------------------------------- ------------------------------------- -----------------. xxxx xxxx SUPPORT FOR XXXXXXXXXXX AND XXXXXXXXXXXXXXXXXXXX Most of the M&A participants are exploring the route of --------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- --------- to cover the complete spectrum of IoT services and solutions. They are leveraging new --------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ------------ prominent futureproofing strategies that is taking prominence for IoT networking infrastructure. Edge Computing: M&A Trend Analysis43
  28. 28. OPPORTUNITIES IN EDGE COMPUTING Integration of xxxx with the Edge Computing Architecture ------------------------------------------- ------------------------------------------- ------------------------------------------- ------------------------------------------- ------------------------------------------- ------------------------------------------- ------------------------------------------- ------------------------------------------- ------------------------------------------- ------------------------------------------- xxxx Solutions not on the Radar of Acquiring Companies xxxx ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- -----------------------. ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- --------------------------. xxxx ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ----------------------------------. ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ -----. Edge Computing: M&A Trend Analysis44
  29. 29. xxxx----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- --------------. ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ ------------------------------------------ --------------------. Edge Computing: M&A Trend Analysis
  30. 30. Edge Computing: M&A Trend Analysis 1. http://news.centurylink.com/2019-08-12-CenturyLink-to-Begin-Making-Major-Investments-in-Edge-Compute-Services 2. https://www.gsma.com/futurenetworks/wp-content/up- loads/2015/01/Understanding-5G-Perspectives-on-future-technological-advancements-in-mobile.pdf 3. https://software.intel.com/en-us/neural-compute-stick 4. http://ir.smartm.com/news-releases/news-release-details/smart-global-holdings-announces-entry-embedded-computing-market 5. http://ir.smartm.com/news-releases/news-release-details/smart-global-holdings-announces-entry-embedded-computing-market 6. http://investor.equinix.com/static-files/21b9703b-c299-4e65-a49d-58a5c3673257 7. https://ieeexplore.ieee.org/document/8761664 8. https://ieeexplore.ieee.org/document/8436042 9. https://acadpubl.eu/jsi/2018-119-10/articles/10a/47.pdf 10. https://www.vmware.com/company/news/updates/vmware-announces-intent-to-acquire-uhana.html 11. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 12. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 13. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 14. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 15. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 16. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 17. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 18. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 19. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 20.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 21. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 22. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 23. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 24. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 25. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 26. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 27. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 28. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 29. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 30. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 31. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 32. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 33. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 34. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 35. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 36. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 37. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 38. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 39. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 40. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 41. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 42. https://newsroom.accenture.com/news/accenture-expands-industry-x-0-capabilities-with-two-acquisitions-in-north-america.htm REFERENCES 58
  31. 31. Edge Computing: M&A Trend Analysis REFERENCES 43. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 44. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 45. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 46. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 47. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 48. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 49. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 50. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 51. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 52. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 53. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 54. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 55. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 56. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 57. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 58. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 59. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 60. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 61. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 62. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 63. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 64. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 65. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 66. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 67. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 68. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 69. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 70. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 71. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 72. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 73. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 74. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 75. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 76. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 77. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 78. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 79. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 80. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 81. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 82. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 83. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 84. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 85. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 59
  32. 32. Edge Computing: M&A Trend Analysis REFERENCES 86. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 87. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 59
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