Digital Transformation Market by Technology (Cloud Computing, Big Data and Analytics, Mobility/Social Media, Cybersecurity, AI, and IoT), Deployment Type, Organization Size, Vertical (BFSI, Retail, Education), and Region - Global Forecast to 2026
[283 Pages Report] The digital transformation market size to grow from USD 521.5 billion in 2021 to USD 1247.5 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 19.1% during the forecast period. Various factors such as increasing spending on marketing and advertising activities by enterprises, changing landscape of customer intelligence to drive the market, and proliferation of customer channels are expected to drive the adoption of digital transformation technologies and services.
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COVID-19 Impact
COVID–19 has globally changed the dynamics of business operations. Though the COVID–19 outbreak has thrown light on weaknesses in business models across verticals, it has offered several opportunities to digitalize and expand their business across regions as the adoption and integration of technologies such as cloud, AI, analytics, IoT, and blockchain has increased in the lockdown period. The retail and manufacturing sectors faced a significant dip in business performance during the first and second quarters of 2020. However, with the availability of vaccines and considerable control achieved over the pandemic, these sectors are expected to witness rising investments throughout the forecast period as digital transformation solutions grow in prominence across different business functions.
Digital Transformation Market Dynamics
Driver: Adoption and Scaling of Digital Initiatives
While digital pilots may yield positive results, industrials must deploy programs across the board to have a significant impact. Scaling up will necessitate the creation of new enterprise-wide business procedures. Because conventional channels, such as in-person encounters, will continue to be crucial, businesses will need to handle possible conflicts as their online presence expands. The most difficult component of any digitalization project is usually the adoption and scaling phase. Industrial firms must constantly reassess their priorities for domains, value levers, solutions, and use cases to prosper. AI-driven automation has proven useful in various applications across industries, including the aviation, medical, agriculture, energy, and material handling markets. AI is being used not only to automate tasks but also to diagnose equipment malfunctions or detect product anomalies. For instance, within the aviation industry, AI and ML can be used to predict peak travel times, assist with passenger check-in, and automate routine maintenance tasks.
Restraint: Data Security Concerns
The backbone of digital transformation solutions, data, remains a critically important aspect that most organizations find it difficult to manage. The inefficiency of managing exabytes and petabytes of data has increased the chances of security breaches and data losses. In today’s competitive marketplace, marketing teams require real-time and secure data to deliver an outstanding customer experience. Organizations are gathering data through multiple touchpoints and measure them virtually. Such data is used in support and communication and may include a variety of data types. These data types comprise public information, big data, and small data collected from customers. As IoT becomes more widespread, organizations will increasingly require more robust security and privacy to prevent breaches. The issue of security endangers the success of digitization. With the growing number of IoT-enabled systems, the number of security and privacy issues will also increase, and every endpoint, gateway, sensor, and smartphones will become a potential target for hackers. The organizational data can be easily accessed on-the-go with the help of BYOD devices, such as smartphones, tablets, phablets, and laptops. The middleware application makes these devices portable, thereby making them vulnerable to loss of physical control and network security breaches. Using portable devices can increase the risk of data loss and exposure of data and devices through network-based attacks to-and-from any system.
This data can include permissions, individual preferences, and updated contact information on products, services, and communication platforms. Hence, vendors need to ensure high-level data security to maintain the customer trust. In recent times, cybercriminals have gained access to widespread tools to obtain anything from passwords to secret questions and token-generated passwords. In such situations, marketing and IT teams need to work concurrently, providing each other with insights on when and how the data is gathered, processed, and used in operations.
Such rampant attacks continue to hinder the widespread adoption of digital transformation across data-intensive industrial sectors. However, this scenario is expected to gradually change over the course of forecast period as the benefits of technology adoption continue to outweigh the risks associated and with overall developments on data security front.
Opportunity: Demand for Personalized Digital Transformation
Every enterprise faces different sets of business growth challenges, such as sales operation, enterprise collaboration, and digital customer base. Digital transformation solutions effectively handle challenges specific to the business segment as well as the industry sector. For instance, the same digital transformation solution that works for a textile manufacturing company cannot possibly work for an auto parts manufacturer. Hence, market vendors are offering highly personalized digital transformation solutions to address the business growth challenges of their customers. This level of personation is possible with enterprise data. Enterprises have huge volumes of enterprise data, which is growing exponentially. Most of these are usually not streamlined, which is also where advanced technologies, such as AI, big data, ML, and data analytics, generate actionable business insights and can create a huge difference in revenue elevation. Hence, market vendors focus on building personalized digital transformation solutions that meet the precise requirements of different industries and businesses.
Challenge: Integration of Data from Data Silos
Extracting value from data has become a key requirement for companies to successfully mitigate risks, target valuable customers, and evaluate business performance. Monetizing these data assets require the availability of a sufficient amount of data. However, data consolidation from distinct data sources into meaningful information can incite various new challenges for organizations, especially centralized business enterprises. Data exchange and data ecosystem deliver tools to analyze the collected data at a centralized location and help extract and cross-check business-critical components. The development of data exchanges and data ecosystems varies based on the assumptions made in the value of the data for each customer segment. Various digital transformation providers offer unified data aggregation and data analytics platforms that help users in successfully aggregating and analyzing data from disparate data sources. Data exchange is a major concern for industries, such as BFSI and healthcare, which deal with individual’s confidential data. As the need for data exchange increases, it needs to be balanced with risk mitigation capabilities. With companies adopting the digital transformation software integrated with data security capabilities, data exchange is not expected to be a major issue in the near future.
North America to account for largest market size during the forecast period
North America is expected to have the largest market share in the digital transformation market. Key factors favoring the growth of the digital transformation market in North America include the increasing technological advancements in the region. The growing number of digital transformation players across regions is expected to further drive market growth.
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Key Market Players
The digital transformation vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global digital transformation market include Microsoft(US), IBM(US), SAP(Germany), Oracle(US), Google(US), Cognizant(US), HPE(US), Adobe(US), Accenture(Ireland), HCL Technologies(India), Broadcom(US), Equinix(US), Dell(US), Tibco(US) and Marlabs(US).
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Report Metrics |
Details |
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Market size available for years |
2015–2026 |
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Base year considered |
2020 |
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Forecast period |
2021–2026 |
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Forecast units |
USD Million |
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Segments covered |
Technology, Deployment Mode, Organization Size, Industry Vertical, and Region |
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Geographies covered |
North America, Europe, APAC, MEA, and Latin America |
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Largest Market |
North America |
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Largest Vertical |
BFSI |
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Companies covered |
Microsoft(US), IBM(US), SAP(Germany), Oracle(US), Google(US), Cognizant(US), HPE(US), Adobe(US), Accenture(Ireland), HCL Technologies(India), Broadcom(US), Equinix(US), Dell(US), Tibco(US), Marlabs(US), Alcor Solutions(US), Smart Stream(UK), Yash Technologies(US), Interfacing(Canada), Kissflow(India), Emudhra(India), Process Maker(US), Process Street(US), Happiest Minds(India), Scoro(UK), Brillio(US), and Aexonic Technologies(US). |
This research report categorizes the digital transformation market based on components, type, deployment mode, organization size, application, vertical, and regions.
By Deployment Mode:
- Cloud
- On-premises
By Organization Size:
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
By Technologies:
- Cloud Computing
- Big Data and Analytics
- Mobility/Social Media
- Cybersecurity
- AI
- IoT
By Vertical:
- BFSI
- Retail and eCommerce
- IT and Telecom
- Healthcare and Life Sciences
- Education
- Government and Defense
- Media and Entertainment
- Manufacturing
By Region:
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Poland
- Rest of Europe
- APAC
- China
- Japan
- India
- ASEAN
- Rest of APAC
- MEA
- UAE
- South Africa
- Rest of Middle East and Africa
- Latin America
- Brazil
- Mexico
- Rest of Latin America
Recent Developments:
- In April 2021, Oracle and SailGP, the world's finest sailing racing league, have expanded their successful Digital Transformation platform in preparation for the second season. Oracle Cloud Infrastructure (OCI) is used by SailGP to supply real-time data to each of the league's eight national teams, as well as broadcast partners and fans globally.
- In April 2021, Oracle made its GoldenGate technology available as a highly automated, fully managed cloud service that clients can use to help ensure that their valuable data is always available and analyzable in real-time, wherever they need it.
- In April 2020, IBM released novel AI-powered technologies. IBM released novel AI-powered technologies to help the Health and Research Community accelerate the discovery of medical insights and treatments for COVID-19.
- In September 2019, Google introduced cloud storage connector for Predictive workloads. This solution allowed organizations to substitute their Hadoop Distributed File System (HDFS) with Google Cloud Storage.
- In November 2018, HPE announced the extension of HPE InfoSight’s Digital Transformation and recommendation capabilities to HPE ProLiant servers, HPE Synergy compute modules, and HPE Apollo systems.
Frequently Asked Questions (FAQ):
What is a digital transformation?
Digital transformation is the outcome of changes that occur with the application of digital technologies. The use of digital transformation across business and organizational activities, processes, competencies, and business models leverages the changes and opportunities of a mix of digital technologies and their impact on society. Digital transformation helps enterprises improve the customer experience, optimize the workforce, enhance the operational activities, and transform the products and services of the organization.
Which countries are considered in the European region?
The report includes an analysis of the UK, Germany, Poland and France in the European region.
Which are key verticals adopting digital transformation solutions and services?
Key verticals adopting digital transformation solutions and services include banking, financial services, and insurance, retail and eCommerce, media and entertainment, IT and telecom, healthcare and life sciences, government and defense, manufacturing, and education.
Which are the key drivers supporting the growth of the digital transformation market?
The key drivers supporting the growth of the digital transformation market include Increasing spending on marketing and advertising activities by enterprises, changing landscape of customer intelligence and proliferation customer channels.
Who are the key vendors in the digital transformation market?
The key vendors in the global digital transformation market include Microsoft(US), IBM(US), SAP(Germany), Oracle(US), Google(US), Cognizant(US), HPE(US), Adobe(US), Accenture(Ireland), HCL Technologies(India), Broadcom(US), Equinix(US), Dell(US), Tibco(US) and Marlabs(US). .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 34)
1.1 INTRODUCTION TO COVID-19
1.2 COVID-19 HEALTH ASSESSMENT
FIGURE 1 COVID-19: GLOBAL PROPAGATION
FIGURE 2 COVID-19 PROPAGATION: SELECT COUNTRIES
1.3 COVID-19 ECONOMIC ASSESSMENT
FIGURE 3 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
1.3.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 4 CRITERIA IMPACTING GLOBAL ECONOMY
FIGURE 5 SCENARIOS IN TERMS OF RECOVERY OF GLOBAL ECONOMY
1.4 OBJECTIVES OF THE STUDY
1.5 MARKET DEFINITION
1.5.1 INCLUSIONS AND EXCLUSIONS
1.6 MARKET SCOPE
1.6.1 MARKET SEGMENTATION
1.6.2 REGIONS COVERED
1.6.3 YEARS CONSIDERED FOR THE STUDY
1.7 CURRENCY CONSIDERED
TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2018–2019
1.8 STAKEHOLDERS
1.9 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 43)
2.1 RESEARCH DATA
FIGURE 6 DIGITAL TRANSFORMATION MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
TABLE 2 PRIMARY INTERVIEWS
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
FIGURE 7 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 8 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 1 (SUPPLY SIDE): REVENUE OF SOLUTIONS/SERVICES OF THE DIGITAL TRANSFORMATION MARKET
FIGURE 10 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 2 - BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE OF ALL SOLUTIONS/SERVICES OF THE MARKET
FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/ SERVICES OF THE MARKET
FIGURE 12 MARKET SIZE ESTIMATION METHODOLOGY-APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF DIGITAL TRANSFORMATION THROUGH OVERALL DIGITAL TRANSFORMATION SPENDING
2.4 MARKET FORECAST
TABLE 3 FACTOR ANALYSIS
TABLE 4 IMPACT OF COVID-19
2.5 COMPANY EVALUATION MATRIX
FIGURE 13 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY
FIGURE 14 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
2.7 ASSUMPTIONS FOR THE STUDY
2.8 LIMITATIONS OF THE STUDY
3 EXECUTIVE SUMMARY (Page No. - 57)
TABLE 5 GLOBAL DIGITAL TRANSFORMATION MARKET SIZE AND GROWTH RATE, 2015–2020 (USD MILLION, Y-O-Y %)
TABLE 6 GLOBAL MARKET SIZE AND GROWTH RATE, 2020–2026 (USD MILLION, Y-O-Y %)
FIGURE 15 MARKET SNAPSHOT, BY TECHNOLOGY
FIGURE 16 MARKET SNAPSHOT, BY DEPLOYMENT TYPE
FIGURE 17 MARKET SNAPSHOT, BY ORGANIZATION SIZE
FIGURE 18 MARKET SNAPSHOT, BY VERTICAL
FIGURE 19 MARKET SNAPSHOT, BY REGION
4 PREMIUM INSIGHTS (Page No. - 61)
4.1 ATTRACTIVE OPPORTUNITIES IN THE DIGITAL TRANSFORMATION MARKET
FIGURE 20 DEMAND FOR PERSONALIZED DIGITAL TRANSFORMATION TO DRIVE MARKET GROWTH DURING THE FORECAST PERIOD
4.2 MARKET: BY REGION
FIGURE 21 NORTH AMERICA ACCOUNTED FOR THE LARGEST MARKET SHARE IN 2021
4.3 MARKET: TOP THREE TECHNOLOGIES
FIGURE 22 BANKING, FINANCIAL SERVICES AND INSURANCE SEGMENT TO HAVE THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
4.4 MARKET, BY TECHNOLOGY AND VERTICAL
FIGURE 23 CLOUD COMPUTING, AND BANKING, FINANCIAL SERVICES AND INSURANCE TO ACCOUNT FOR LARGEST SHARES IN THE MARKET IN 2021
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 63)
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 24 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: DIGITAL TRANSFORMATION MARKET
5.2.1 DRIVERS
5.2.1.1 Rising adoption of big data and other related technologies
5.2.1.2 Advent of machine learning and artificial intelligence
5.2.1.3 Cost benefits of cloud-based digital transformation solutions
5.2.1.4 Rapid proliferation of mobile devices and apps
5.2.1.5 Adoption and scaling of digital initiatives
5.2.2 RESTRAINTS
5.2.2.1 Changing regional data regulations leading to the time-consuming restructuring of predictive models
5.2.2.2 Data security concerns
5.2.3 OPPORTUNITIES
5.2.3.1 Rising internet proliferation and growing usage of connected and integrated technologies
5.2.3.2 Increasing demand for real-time analytical solutions to track and monitor the COVID-19 spread
5.2.3.3 Demand for personalized digital transformation
5.2.4 CHALLENGES
5.2.4.1 Integration of data from data silos
5.2.4.2 Issues related to IT modernization
5.2.4.3 Ownership and privacy of collected data
5.3 DIGITAL TRANSFORMATION MARKET: COVID-19 IMPACT
5.4 DIGITAL TRANSFORMATION: EVOLUTION
FIGURE 25 EVOLUTION OF DIGITAL TRANSFORMATION
5.5 CASE STUDY ANALYSIS
TABLE 7 USE CASES: PROMINENT INDUSTRY-WISE INSTANCES
5.5.1 BANKING, FINANCIAL SERVICES AND INSURANCE
5.5.1.1 Case study 1: Cognizant’s AI and automation solution helps an insurance company improve the insurance claims process
5.5.1.2 Case study 2: Risk assessment
5.5.1.3 Case study 3: Make real-time decisions and reduce operational costs
5.5.2 IT AND TELECOM
5.5.2.1 Case study: American Telecommunication Service Provider (TSP) collaborated with HCL to refine its digital journey
5.5.3 RETAIL
5.5.3.1 Case study 1: ASOS used Microsoft Azure ML service to reduce time-to-market for recommendations model
5.5.3.2 Case study 2: Optimization of shopping experience of customers
5.5.3.3 Case study 3: Categorization of user behavior and improvement in a campaign targeting
5.5.4 ENERGY AND UTILITIES
5.5.4.1 Case study 1: Easy access to exploration portfolio in oil and gas industry
5.5.4.2 Case study 2: Data centralization
5.5.5 TRANSPORTATION AND LOGISTICS
5.5.5.1 Case study: Decisions related to route diversions based on live streaming traffic information
5.5.6 HEALTHCARE
5.5.6.1 Case study 1: One of the leading healthcare companies adopted Cognizant’s AI-driven solution to identify drug-seeking behavior
5.5.6.2 Case study 2: Inspire used ML to connect millions of patients and caregivers on AWS
5.5.7 MANUFACTURING
5.5.7.1 Case Study 1: IBM helped SHENZHEN CHINA STAR OPTOELECTRONICS TECHNOLOGY CO LTD. (CSOT) boost production quality and throughput
5.5.7.2 Case study 2: Dell built 360-degree customer view
5.5.8 EDUCATION
5.5.8.1 Case study: Using data modeling to accurately predict student performance and effectively decrease drop-out rates
5.5.9 MEDIA AND ENTERTAINMENT
5.5.9.1 Case study 1: One of the world’s leading media conglomerates adopted HCL’s digital transformation solution to redefine user experience through human-centric design
5.5.9.2 Case study 2: Boost subscriber engagement and data-driven decision-making
5.5.10 GOVERNMENT
5.5.10.1 Case study 1: By moving to Equinix’s TY3 facility OANDA was able to improve this time by 93%, providing its Japanese customers with real-time access to their foreign exchange trading market
5.5.10.2 Case study 2: Monetize and harness real-time data for community benefit
5.6 PATENT ANALYSIS
5.6.1 METHODOLOGY
5.6.2 DOCUMENT TYPE
TABLE 8 PATENTS FILED, 2018–2021
5.6.3 INNOVATION AND PATENT APPLICATIONS
FIGURE 26 TOTAL NUMBER OF PATENTS GRANTED IN A YEAR, 2018–2021
5.6.3.1 Top applicants
FIGURE 27 TOP TEN COMPANIES WITH THE HIGHEST NUMBER OF PATENT APPLICATIONS, 2018–2021
TABLE 9 TOP TEN PATENT OWNERS (US) IN THE DIGITAL TRANSFORMATION MARKET, 2018–2021
5.7 SUPPLY/VALUE CHAIN ANALYSIS
FIGURE 28 SUPPLY/VALUE CHAIN ANALYSIS
5.8 PRICING MODEL ANALYSIS
5.9 PORTER’S FIVE FORCES ANALYSIS
FIGURE 29 MARKET: PORTER’S FIVE FORCES ANALYSIS
TABLE 10 MARKET: PORTER’S FIVE FORCES ANALYSIS
5.9.1 THREAT OF NEW ENTRANTS
5.9.2 THREAT OF SUBSTITUTES
5.9.3 BARGAINING POWER OF SUPPLIERS
5.9.4 BARGAINING POWER OF BUYERS
5.9.5 INTENSITY OF COMPETITIVE RIVALRY
5.10 TECHNOLOGY ANALYSIS
5.10.1 AI AND DIGITAL TRANSFORMATION
5.10.2 ML AND DIGITAL TRANSFORMATION
5.10.3 IOT AND DIGITAL TRANSFORMATION
5.10.4 CLOUD COMPUTING AND DIGITAL TRANSFORMATION
5.11 REGULATORY IMPLICATIONS
5.11.1 INTRODUCTION
5.11.2 SARBANES-OXLEY ACT OF 2002
5.11.3 GENERAL DATA PROTECTION REGULATION
5.11.4 BASEL
5.12 MARKET ANALYSIS BY BUSINESS FUNCTION
FIGURE 30 DIGITAL TRANSFORMATION MARKET, BY BUSINESS FUNCTION
5.12.1 CUSTOMER TRANSFORMATION
5.12.2 WORKFORCE TRANSFORMATION
5.12.3 OPERATIONAL TRANSFORMATION
5.12.4 PRODUCT TRANSFORMATION
5.13 BEST PRACTICES
5.13.1 SYNCHRONIZED EFFORTS
5.13.2 CHANGE MANAGEMENT
5.13.3 GAUGING THE PERSPECTIVE OF CUSTOMERS
5.13.4 LEVERAGING THE LATEST TECHNOLOGY
5.14 VALUE PROPOSITION – BY INDUSTRY
TABLE 11 VALUE PROPOSITION BY INDUSTRY
6 DIGITAL TRANSFORMATION MARKET, BY TECHNOLOGY (Page No. - 95)
6.1 INTRODUCTION
6.1.1 TECHNOLOGIES: MARKET DRIVERS
6.1.2 TECHNOLOGIES: COVID-19 IMPACT
FIGURE 31 ARTIFICIAL INTELLIGENCE SEGMENT OF THE MARKET TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD
TABLE 12 MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD MILLION)
TABLE 13 MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD MILLION)
6.2 CLOUD COMPUTING
6.2.1 FACTORS SUCH AS DATA SECURITY, FASTER DISASTER RECOVERY (DR), AND MEETING COMPLIANCE REQUIREMENTS DRIVE THE GROWTH OF THE MARKET
TABLE 14 CLOUD COMPUTING: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 15 CLOUD COMPUTING: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.3 ARTIFICIAL INTELLIGENCE
6.3.1 ENHANCEMENTS OF CUSTOMER SATISFACTION AND INCREASED PRODUCTIVITY THROUGH AI DRIVE THE GROWTH OF THE DIGITAL TRANSFORMATION MARKET
TABLE 16 ARTIFICIAL INTELLIGENCE: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 17 ARTIFICIAL INTELLIGENCE: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.4 BIG DATA AND ANALYTICS
6.4.1 RISE IN THE AMOUNT OF THE UNSTRUCTURED DATA FROM SEVERAL SOURCES AND THE NEED TO OPTIMIZE LARGE WORKLOADS OF DATA LED TO VARIOUS ADVANCEMENTS IN BIG DATA AND ANALYTICS TECHNOLOGY
TABLE 18 BIG DATA AND ANALYTICS: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 19 BIG DATA AND ANALYTICS: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.5 MOBILITY/SOCIAL MEDIA
6.5.1 EXPANDING MOBILE WORKFORCE LEADING TO A RISE IN BRINGING YOUR OWN DEVICE TREND, RISING SECURITY CONCERNS, AND PROLIFERATION OF MOBILE APPLICATIONS LED TO VARIOUS ADVANCEMENTS IN THE DIGITAL TRANSFORMATION MARKET
TABLE 20 MOBILITY/SOCIAL MEDIA: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 21 MOBILITY/SOCIAL MEDIA: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.6 CYBERSECURITY
6.6.1 GROWING CYBERATTACKS, DATA BREACHES, AND IDENTITY THEFTS LED TO THE INCREASED DEMAND FOR CYBERSECURITY TECHNOLOGY IN THE MARKET
TABLE 22 CYBERSECURITY: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 23 CYBERSECURITY: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.7 INTERNET OF THINGS
6.7.1 CONCEPT OF IOT HELPED ORGANIZATIONS ACROSS VERTICALS TO INCREASE OPERATIONAL EFFICIENCY AND PROVIDE PROFICIENT CUSTOMER SERVICE LEADING TO ADVANCEMENTS IN DIGITAL TRANSFORMATION
TABLE 24 INTERNET OF THINGS: DIGITAL TRANSFORMATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 25 INTERNET OF THINGS: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
6.8 OTHER TECHNOLOGIES
TABLE 26 OTHER TECHNOLOGIES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 27 OTHER TECHNOLOGIES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
7 DIGITAL TRANSFORMATION MARKET, BY DEPLOYMENT TYPE (Page No. - 108)
7.1 INTRODUCTION
7.1.1 DEPLOYMENT TYPES: MARKET DRIVERS
7.1.2 DEPLOYMENT TYPES: COVID-19 IMPACT
FIGURE 32 CLOUD SEGMENT TO LEAD THE MARKET IN 2021
TABLE 28 MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2020 (USD MILLION)
TABLE 29 MARKET SIZE, BY DEPLOYMENT TYPE, 2021–2026 (USD MILLION)
7.2 ON-PREMISES
7.2.1 BETTER DATA GOVERNANCE, CONTROL, AND SECURITY WILL DRIVE THE ADOPTION OF ON-PREMISES SOLUTIONS
TABLE 30 ON-PREMISES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 31 ON-PREMISES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
7.3 CLOUD
7.3.1 AVAILABILITY OF SUBSCRIPTION-BASED CLOUD SOLUTIONS OFFERS FLEXIBILITY AND EASE OF ADOPTION TO END USERS
TABLE 32 CLOUD: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 33 CLOUD: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
8 DIGITAL TRANSFORMATION MARKET, BY ORGANIZATION SIZE (Page No. - 114)
8.1 INTRODUCTION
8.1.1 ORGANIZATION SIZE: MARKET DRIVERS
8.1.2 ORGANIZATION SIZE: COVID-19 IMPACT
FIGURE 33 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
TABLE 34 MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 35 MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
8.2 SMALL AND MEDIUM-SIZED ENTERPRISES
8.2.1 DIGITAL TRANSFORMATION SOLUTIONS ENABLE SMES TO CARVE OUT A NICHE FOR THEMSELVES WITHIN COMPETITIVE MARKETS
TABLE 36 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 37 SMALL AND MEDIUM-SIZED ENTERPRISES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
8.3 LARGE ENTERPRISES
8.3.1 DIGITAL TRANSFORMATION OF LARGE ENTERPRISES HELPS ACHIEVE A UNIQUE VALUE PROPOSITION FOR BUSINESSES
TABLE 38 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 39 LARGE ENTERPRISES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9 DIGITAL TRANSFORMATION MARKET, BY VERTICAL (Page No. - 120)
9.1 INTRODUCTION
9.1.1 VERTICALS: MARKET DRIVERS
9.1.2 VERTICALS: COVID-19 IMPACT
FIGURE 34 HEALTHCARE AND LIFE SCIENCES VERTICAL TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 40 MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 41 MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
9.2 BANKING, FINANCIAL SERVICES AND INSURANCE
9.2.1 IMPROVE BUSINESS PERFORMANCE, REDUCE COST, AND CHURN THROUGH DIGITAL TRANSFORMATION SOLUTIONS
TABLE 42 BANKING, FINANCIAL SERVICES AND INSURANCE: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 43 BANKING, FINANCIAL SERVICES AND INSURANCE: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.3 RETAIL AND ECOMMERCE
9.3.1 ADOPTION OF DIGITAL TRANSFORMATION SOLUTIONS BOOSTING BUSINESS DECISION PERFORMANCE AND PROFIT MARGINS
TABLE 44 RETAIL AND ECOMMERCE: DIGITAL TRANSFORMATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 45 RETAIL AND ECOMMERCE: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.4 TELECOM AND IT
9.4.1 USAGE OF SMARTPHONES, COMPLEXITY IN THE TELECOM INDUSTRY, AND INCREASING SERVICE PROVIDERS MAKING A RAPID GROWTH FOR THE MARKET
TABLE 46 TELECOM AND IT: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 47 TELECOM AND IT: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.5 MEDIA AND ENTERTAINMENT
9.5.1 RISING CONTENT CONSUMPTION, DIGITAL ENTERTAINMENT, AND CLOUD ADOPTION GENERATING DEMAND FOR DIGITAL TRANSFORMATION
TABLE 48 MEDIA AND ENTERTAINMENT: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 49 MEDIA AND ENTERTAINMENT: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.6 MANUFACTURING
9.6.1 ADOPTION OF DIGITAL TRANSFORMATION BOOSTING PERFORMANCE AND IMPROVING DECISION-MAKING
TABLE 50 MANUFACTURING: DIGITAL TRANSFORMATION MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 51 MANUFACTURING: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.7 HEALTHCARE AND LIFE SCIENCES
9.7.1 REAL-TIME DECISION-MAKING TO PROVIDE NEW INNOVATIVE SOLUTIONS AND DELIVER PROPER INSIGHTS FOR PATIENTS BOOSTING THE NEED FOR DIGITAL TRANSFORMATION SOLUTIONS
TABLE 52 HEALTHCARE AND LIFESCIENCES: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 53 HEALTHCARE AND LIFESCIENCES: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.8 EDUCATION
9.8.1 INCREASING DEMAND FOR PLATFORM-INDEPENDENT OR CROSS-PLATFORM APPLICATIONS FROM THE EDUCATION VERTICAL PROVIDES HUGE GROWTH OPPORTUNITIES FOR DIGITAL TRANSFORMATION
TABLE 54 EDUCATION: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 55 EDUCATION: DIGITAL TRANSFORMATION MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.9 GOVERNMENT AND DEFENSE
9.9.1 TAX COLLECTION, SAFETY, PUBLIC INTEREST, AND SHARING OF CRITICAL DATA ON INTERNATIONAL LEVELS, TO INCREASINGLY ADOPT DIGITAL TRANSFORMATION SOLUTIONS LEADING TO THE GROWTH OF THE MARKET
TABLE 56 GOVERNMENT AND DEFENSE: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 57 GOVERNMENT AND DEFENSE: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
9.10 OTHER VERTICALS
TABLE 58 OTHER VERTICALS: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 59 OTHER VERTICALS: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10 DIGITAL TRANSFORMATION MARKET, BY REGION (Page No. - 136)
10.1 INTRODUCTION
FIGURE 35 JAPAN TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
FIGURE 36 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR THE DURING FORECAST PERIOD
TABLE 60 MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 61 MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: MARKET DRIVERS
10.2.2 NORTH AMERICA: COVID-19 IMPACT
TABLE 62 NORTH AMERICA: PROMINENT PLAYERS
10.2.3 NORTH AMERICA: REGULATIONS
10.2.3.1 Personal Information Protection and Electronic Documents Act (PIPEDA)
10.2.3.2 Gramm–Leach–Bliley (GLB) Act
10.2.3.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996
10.2.3.4 Federal Information Security Management Act (FISMA)
10.2.3.5 Federal Information Processing Standards (FIPS)
10.2.3.6 California Consumer Privacy Act (CSPA)
FIGURE 37 NORTH AMERICA: MARKET SNAPSHOT
TABLE 63 NORTH AMERICA: DIGITAL TRANSFORMATION MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD MILLION)
TABLE 64 NORTH AMERICA: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD MILLION)
TABLE 65 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 66 NORTH AMERICA: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 67 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 68 NORTH AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 69 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 70 NORTH AMERICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 71 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 72 NORTH AMERICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
10.2.4 UNITED STATES
10.2.4.1 Rapid adoption and use of digitally innovative solutions, the presence of tech-giants, and the increased use of the internet to drive the digital transformation market growth
10.2.5 CANADA
10.2.5.1 Startup ecosystem and the transformation into data-driven organizations to drive the growth of digital transformation solutions in Canada
10.3 EUROPE
10.3.1 EUROPE: MARKET DRIVERS
10.3.2 EUROPE: COVID-19 IMPACT
TABLE 73 EUROPE: PROMINENT PLAYERS
10.3.3 EUROPE: REGULATIONS
10.3.3.1 General Data Protection Regulation (GDPR)
10.3.3.2 European Committee for Standardization (CEN)
10.3.3.3 EU’s General Court
TABLE 74 EUROPE: DIGITAL TRANSFORMATION MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD MILLION)
TABLE 75 EUROPE: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD MILLION)
TABLE 76 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 77 EUROPE: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 78 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 79 EUROPE: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 80 EUROPE: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 81 EUROPE: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 82 EUROPE: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 83 EUROPE: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
10.3.4 UNITED KINGDOM
10.3.4.1 Advanced IT infrastructure, technologies, and continued transition toward online services to drive the growth of digital transformation solutions in the UK
10.3.5 GERMANY
10.3.5.1 Government initiatives for technological developments in the manufacturing vertical to drive the growth of digital transformation solutions in Germany
10.3.6 FRANCE
10.3.6.1 Heavy R&D investments, digitalization, and strong hold of retail and manufacturing verticals to drive the growth of the digital transformation market in France
10.3.7 POLAND
10.3.7.1 Large enterprises adopt digital transformation solutions to implement innovation in their business processes
10.3.8 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: MARKET DRIVERS
10.4.2 ASIA PACIFIC: COVID-19 IMPACT
TABLE 84 APAC: PROMINENT PLAYERS
10.4.3 ASIA PACIFIC: REGULATIONS
10.4.3.1 Personal Data Protection Act (PDPA)
10.4.3.2 International Organization for Standardization (ISO) 27001
FIGURE 38 ASIA PACIFIC: MARKET SNAPSHOT
TABLE 85 ASIA PACIFIC: DIGITAL TRANSFORMATION MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD MILLION)
TABLE 86 ASIA PACIFIC: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD MILLION)
TABLE 87 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD MILLION)
TABLE 88 ASIA PACIFIC: MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION)
TABLE 89 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 90 ASIA PACIFIC: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 91 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 92 ASIA PACIFIC: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 93 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 94 ASIA PACIFIC: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
10.4.4 CHINA
10.4.4.1 Use of digital transformation services for driving policy support and technological investments to fuel the adoption of digital transformation in China
10.4.5 JAPAN
10.4.5.1 Rise of innovative technologies and collaboration between governments and businesses for digital transformation in Japan
10.4.6 INDIA
10.4.6.1 Local entrepreneurs with the shift in technologies to provide support to Indian companies in the digital transformation market
10.4.7 ASEAN
10.4.8 REST OF ASIA PACIFIC
10.5 MIDDLE EAST AND AFRICA
10.5.1 MIDDLE EAST AND AFRICA: MARKET DRIVERS
10.5.2 MIDDLE EAST AND AFRICA: COVID-19 IMPACT
TABLE 95 MIDDLE EAST AND AFRICA: PROMINENT PLAYERS
10.5.3 MIDDLE EAST AND AFRICA: REGULATIONS
10.5.3.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
10.5.3.2 GDPR Applicability in KSA
10.5.3.3 Protection of Personal Information Act (POPIA)
TABLE 96 MIDDLE EAST AND AFRICA: DIGITAL TRANSFORMATION MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD MILLION)
TABLE 97 MIDDLE EAST AND AFRICA: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD MILLION)
TABLE 98 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2020 (USD MILLION)
TABLE 99 MIDDLE EAST AND AFRICA: MARKET SIZE, BY DEPLOYMENT TYPE 2021–2026 (USD MILLION)
TABLE 100 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 101 MIDDLE EAST AND AFRICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 102 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 103 MIDDLE EAST AND AFRICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 104 MIDDLE EAST AND AFRICA: MARKET SIZE, BY REGION, 2015–2020 (USD MILLION)
TABLE 105 MIDDLE EAST AND AFRICA: MARKET SIZE, BY REGION, 2021–2026 (USD MILLION)
10.5.4 UNITED ARAB EMIRATES
10.5.4.1 New investments, strategies, and products to drive the adoption of digital transformation solutions in the region
10.5.5 SOUTH AFRICA
10.5.5.1 Growing digitalization in African countries to offer opportunities for deploying digital transformation solutions in South Africa
10.5.6 REST OF MIDDLE EAST AND AFRICA
10.5.6.1 Increase in globalization to offer opportunities to deploy digital transformation solutions in the rest of MEA
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: MARKET DRIVERS
10.6.2 LATIN AMERICA: COVID-19 IMPACT
TABLE 106 LATIN AMERICA: PROMINENT PLAYERS
10.6.3 LATIN AMERICA: REGULATIONS
10.6.3.1 Brazil Data Protection Law
10.6.3.2 Argentina Personal Data Protection Law No. 25.326
TABLE 107 LATIN AMERICA: DIGITAL TRANSFORMATION MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD MILLION)
TABLE 108 LATIN AMERICA: MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD MILLION)
TABLE 109 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT TYPE, 2015–2020 (USD MILLION)
TABLE 110 LATIN AMERICA: MARKET SIZE, BY DEPLOYMENT TYPE, 2021–2026 (USD MILLION)
TABLE 111 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION)
TABLE 112 LATIN AMERICA: MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION)
TABLE 113 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2015–2020 (USD MILLION)
TABLE 114 LATIN AMERICA: MARKET SIZE, BY VERTICAL, 2021–2026 (USD MILLION)
TABLE 115 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2015–2020 (USD MILLION)
TABLE 116 LATIN AMERICA: MARKET SIZE, BY COUNTRY, 2021–2026 (USD MILLION)
10.6.4 BRAZIL
10.6.4.1 Increased use of internet, technologies, and government organizations to increase the demand in Brazil
10.6.5 MEXICO
10.6.5.1 Increasing trade, rising customer base, and government initiatives to fuel the growth of digital transformation
10.6.6 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE (Page No. - 181)
11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES
FIGURE 39 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN THE DIGITAL TRANSFORMATION MARKET
11.3 REVENUE ANALYSIS
FIGURE 40 REVENUE ANALYSIS FOR KEY COMPANIES IN THE PAST FIVE YEARS
11.4 MARKET SHARE ANALYSIS
FIGURE 41 MARKET: MARKET SHARE ANALYSIS
TABLE 117 MARKET: DEGREE OF COMPETITION
11.5 COMPANY EVALUATION QUADRANT
11.5.1 STARS
11.5.2 EMERGING LEADERS
11.5.3 PERVASIVE PLAYERS
11.5.4 PARTICIPANTS
FIGURE 42 MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2021
11.6 STARTUP/SME EVALUATION QUADRANT
11.6.1 PROGRESSIVE COMPANIES
11.6.2 RESPONSIVE COMPANIES
11.6.3 DYNAMIC COMPANIES
11.6.4 STARTING BLOCKS
FIGURE 43 DIGITAL TRANSFORMATION MARKET (STARTUP) COMPETITIVE LEADERSHIP MAPPING, 2021
11.7 COMPETITIVE BENCHMARKING
TABLE 118 COMPANIES TOP THREE SOLUTIONS FOOTPRINT
TABLE 119 COMPANY REGION FOOTPRINT
11.8 COMPETITIVE SCENARIO
11.8.1 PRODUCT LAUNCHES
TABLE 120 PRODUCT LAUNCHES, JANUARY 2018–MAY 2021
11.8.2 DEALS
TABLE 121 DEALS, JANUARY 2018– MAY 2021
11.8.3 OTHERS
TABLE 122 OTHERS, 2019–2021
12 COMPANY PROFILES (Page No. - 195)
12.1 INTRODUCTION
12.2 KEY PLAYERS
(Business Overview, Products/Services/Solutions Offered, MnM View, Key Strengths and Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats, Recent Developments)*
12.2.1 MICROSOFT
TABLE 123 MICROSOFT: BUSINESS OVERVIEW
FIGURE 44 MICROSOFT: COMPANY SNAPSHOT
TABLE 124 MICROSOFT: SOLUTIONS OFFERED
TABLE 125 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 126 MICROSOFT: DEALS
12.2.2 IBM
TABLE 127 IBM: BUSINESS OVERVIEW
FIGURE 45 IBM: COMPANY SNAPSHOT
TABLE 128 IBM: SOLUTIONS OFFERED
TABLE 129 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 130 IBM: DEALS
TABLE 131 IBM: OTHERS
12.2.3 SAP
TABLE 132 SAP: BUSINESS OVERVIEW
FIGURE 46 SAP: COMPANY SNAPSHOT
TABLE 133 SAP: SOLUTIONS OFFERED
12.2.3.3 Recent developments
TABLE 134 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 135 SAP: DEALS
TABLE 136 SAP: OTHERS
12.2.4 ORACLE
TABLE 137 ORACLE: BUSINESS OVERVIEW
FIGURE 47 ORACLE: COMPANY SNAPSHOT
TABLE 138 ORACLE: SOLUTIONS OFFERED
TABLE 139 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 140 ORACLE: DEALS
TABLE 141 ORACLE: OTHERS
12.2.5 GOOGLE
TABLE 142 GOOGLE: BUSINESS OVERVIEW
FIGURE 48 GOOGLE: COMPANY SNAPSHOT
TABLE 143 GOOGLE: SOLUTIONS OFFERED
TABLE 144 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 145 GOOGLE: DEALS
12.2.6 COGNIZANT
TABLE 146 COGNIZANT: BUSINESS OVERVIEW
FIGURE 49 COGNIZANT: COMPANY SNAPSHOT
TABLE 147 COGNIZANT: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 148 COGNIZANT: DEALS
12.2.7 HPE
TABLE 149 HPE: BUSINESS OVERVIEW
FIGURE 50 HPE: COMPANY SNAPSHOT
TABLE 150 HPE: SOLUTIONS OFFERED
TABLE 151 HPE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 152 HPE: DEALS
TABLE 153 HPE: OTHERS
12.2.8 ADOBE
TABLE 154 ADOBE: BUSINESS OVERVIEW
FIGURE 51 ADOBE: COMPANY SNAPSHOT
TABLE 155 ADOBE: SOLUTIONS OFFERED
TABLE 156 ADOBE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 157 ADOBE: DEALS
12.2.9 ACCENTURE
TABLE 158 ACCENTURE: BUSINESS OVERVIEW
FIGURE 52 ACCENTURE: COMPANY SNAPSHOT
TABLE 159 ACCENTURE: SOLUTIONS OFFERED
TABLE 160 ACCENTURE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 161 ACCENTURE: DEALS
TABLE 162 ACCENTURE: OTHERS
12.2.10 HCL TECHNOLOGIES
TABLE 163 HCL TECHNOLOGIES: BUSINESS OVERVIEW
FIGURE 53 HCL TECHNOLOGIES: COMPANY SNAPSHOT
TABLE 164 HCL TECHNOLOGIES: SOLUTIONS OFFERED
TABLE 165 HCL TECHNOLOGIES: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 166 HCL TECHNOLOGIES: DEALS
12.2.11 BROADCOM
TABLE 167 BROADCOM: BUSINESS OVERVIEW
FIGURE 54 BROADCOM: COMPANY SNAPSHOT
TABLE 168 BROADCOM: SOLUTIONS OFFERED
TABLE 169 BROADCOM: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 170 BROADCOM: DEALS
12.2.12 EQUINIX
TABLE 171 EQUINIX: BUSINESS OVERVIEW
FIGURE 55 EQUINIX: COMPANY SNAPSHOT
TABLE 172 EQUINIX: SOLUTIONS OFFERED
TABLE 173 EQUINIX: DEALS
TABLE 174 EQUINIX: OTHERS
12.2.13 DELL
TABLE 175 DELL: BUSINESS OVERVIEW
TABLE 176 DELL: SOLUTIONS OFFERED
TABLE 177 DELL: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 178 DELL: DEALS
12.2.14 TIBCO SOFTWARE
TABLE 179 TIBCO SOFTWARE: BUSINESS OVERVIEW
TABLE 180 TIBCO SOFTWARE: SOLUTIONS OFFERED
TABLE 181 TIBCO SOFTWARE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 182 TIBCO SOFTWARE: DEALS
12.2.15 MARLABS
TABLE 183 MARLABS: BUSINESS OVERVIEW
TABLE 184 MARLABS: SOLUTIONS OFFERED
TABLE 185 MARLABS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 186 MARLABS: DEALS
*Business Overview, Products/Services/Solutions Offered, MnM View, Key Strengths and Right to Win, Strategic Choices Made, Weaknesses and Competitive Threats, Recent Developments might not be captured in case of unlisted companies.
12.3 OTHER KEY PLAYERS
12.3.1 ALCOR SOLUTIONS
12.3.2 SMARTSTREAM
12.3.3 YASH TECHNOLOGIES
12.3.4 INTERFACING
12.3.5 KISSFLOW
12.3.6 EMUDHRA
12.3.7 PROCESS MAKER
12.3.8 PROCESS STREET
12.3.9 HAPPIEST MINDS
12.3.10 SCORO
12.3.11 BRILLIO
12.3.12 AEXONIC TECHNOLOGIES
13 APPENDIX (Page No. - 264)
13.1 ADJACENT AND RELATED MARKETS
13.1.1 INTRODUCTION
13.1.2 CLOUD COMPUTING MARKET—GLOBAL FORECAST TO 2025
13.1.2.1 Market definition
13.1.2.2 Market overview
13.1.2.2.1 Cloud computing market, by service model
TABLE 187 CLOUD COMPUTING MARKET SIZE, BY SERVICE MODEL, 2016–2019 (USD BILLION)
TABLE 188 CLOUD COMPUTING MARKET SIZE, BY SERVICE MODEL, 2020–2025 (USD BILLION)
13.1.2.2.2 Cloud computing market, by deployment model
TABLE 189 CLOUD COMPUTING MARKET SIZE, BY DEPLOYMENT MODEL, 2016–2019 (USD BILLION)
TABLE 190 CLOUD COMPUTING MARKET SIZE, BY DEPLOYMENT MODEL, 2020–2025 (USD BILLION)
13.1.2.2.3 Cloud computing market, by organization size
TABLE 191 CLOUD COMPUTING MARKET SIZE, BY ORGANIZATION SIZE, 2016–2019 (USD BILLION)
TABLE 192 CLOUD COMPUTING MARKET SIZE, BY ORGANIZATION SIZE, 2020–2025 (USD BILLION)
13.1.2.2.4 Cloud computing market, by industry vertical
TABLE 193 CLOUD COMPUTING MARKET SIZE, BY VERTICAL, 2016–2019 (USD BILLION)
TABLE 194 CLOUD COMPUTING MARKET SIZE, BY VERTICAL, 2020–2025 (USD BILLION)
13.1.2.2.5 Cloud computing market, by region
TABLE 195 CLOUD COMPUTING MARKET SIZE, BY REGION, 2016–2019 (USD BILLION)
TABLE 196 CLOUD COMPUTING MARKET SIZE, BY REGION, 2020–2025 (USD BILLION)
13.1.3 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2026
13.1.3.1 Market definition
13.1.3.2 Market overview
13.1.3.2.1 Artificial intelligence market, by offering
TABLE 197 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY OFFERING, 2015–2020 (USD BILLION)
TABLE 198 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY OFFERING, 2021–2026 (USD BILLION)
13.1.3.2.2 Artificial intelligence market, by deployment mode
TABLE 199 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY DEPLOYMENT MODE, 2015–2020 (USD BILLION)
TABLE 200 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY DEPLOYMENT MODE, 2021–2026 (USD BILLION)
13.1.3.2.3 Artificial intelligence market, by organization size
TABLE 201 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY ORGANIZATION SIZE, 2015–2020 (USD BILLION)
TABLE 202 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY ORGANIZATION SIZE, 2021–2026 (USD BILLION)
13.1.3.2.4 Artificial intelligence market, by technology
TABLE 203 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY TECHNOLOGY, 2015–2020 (USD BILLION)
TABLE 204 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY TECHNOLOGY, 2021–2026 (USD BILLION)
13.1.3.2.5 Artificial intelligence market, by industry vertical
TABLE 205 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY VERTICAL, 2015–2020 (USD BILLION)
TABLE 206 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY VERTICAL, 2021–2026 (USD BILLION)
13.1.3.2.6 Artificial intelligence market, by region
TABLE 207 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2015–2020 (USD BILLION)
TABLE 208 ARTIFICIAL INTELLIGENCE MARKET SIZE, BY REGION, 2021–2026 (USD BILLION)
13.2 DISCUSSION GUIDE
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.4 AVAILABLE CUSTOMIZATIONS
13.5 RELATED REPORTS
13.6 AUTHOR DETAILS
The research study for the digital transformation market report involved the use of extensive secondary sources, directories, as well as several journals and magazines to identify and collect information that is useful for this technical and market-oriented study. During the production cycle of the report, in-depth interviews were conducted with various primary respondents, including key opinion leaders, subject-matter experts, high-level executives of various companies offering digital transformation solutions and services, and industry consultants, to obtain and verify critical qualitative and quantitative information, as well as, assess the market prospects and industry trends.
Secondary Research
In the secondary research process, various sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports, press releases, investor presentations of companies; white papers; journals; and certified publications and articles from recognized authors, directories, and databases.
Primary Research
Various primary sources from both supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief X Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related key executives from digital transformation solution vendors, system integrators, professional service providers, industry associations, and consultants; and key opinion leaders. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
The following is the breakup of primary profiles:
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Top-down and bottom-up approaches were used to estimate and validate the size of the global digital transformation market and various other dependent subsegments. The research methodology used to estimate the market size included the following details: the key players not limited to IBM, Microsoft, SAP, Oracle, Adobe and Google in the market were identified through extensive secondary research, and their revenue contribution in the respective regions were determined through primary and secondary research. The entire procedure included the study of the annual and financial reports of top market players and extensive interviews for key insights from industry leaders, such as CEOs, VPs, directors, and marketing executives. All percentage splits and breakups were determined using secondary sources and verified through primary sources.
All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.
- The pricing trend is assumed to vary over time.
- All the forecasts are made with the standard assumption that the accepted currency is USD.
- For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service's website is used.
- All the forecasts are made under the standard assumption that the globally accepted currency USD remains constant during the next five years.
- Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors in the market.
- Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on digital transformation solutions based on some of the key use cases. These factors for the digital transformation industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.
Data Triangulation
- After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation, and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.
Report Objectives
- To define, describe, and predict the digital transformation market by organization size, deployment mode, technology, vertical, and region
- To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
- To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
- To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America
- To profile key players and comprehensively analyze their market rankings and core competencies
- To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the market
- To analyze the impact of the COVID-19 pandemic on the digital transformation market
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
- Product matrix provides a detailed comparison of the product portfolio of each company
Geographic Analysis
- Further breakup of the North American digital transformation market
- Further breakup of the European market
- Further breakup of the APAC market
- Further breakup of the Latin American market
- Further breakup of the MEA market
Company Information
- Detailed analysis and profiling of additional market players up to 5
- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
- What are the Known and Unknown Adjacencies Impacting the Digital Transformation Market
- What will your New Revenue Sources be?
- Who will be your Top Customer; what will make them switch?
- Defend your Market Share or Win Competitors
- Get a Scorecard for Target Partners
Growth opportunities and latent adjacency in Digital Transformation Market