データパイプラインツール市場 : 2027 年までの世界予測

出版:MarketsandMarkets(マーケッツアンドマーケッツ) 出版年月:2022年10月

データパイプラインツール市場 : コンポーネント (ツールとサービス)、ツールの種類 (ETL データパイプライン、ELT データパイプライン、ストリーミングデータパイプライン、およびバッチデータパイプライン)、用途、展開モード、組織の規模、垂直、地域別 – 2027 年までの世界予測
Data Pipeline Tools Market by Component (Tools and Services), Tool Type (ETL Data Pipeline, ELT Data Pipeline, Streaming Data Pipeline, and Batch Data Pipeline), Application, Deployment Mode, Organization Size, Vertical & Region – Global Forecast to 2027

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The data pipeline tools market is projected to grow from USD 6.9 Billion in 2022 to USD 17.6 Billion by 2027, at a CAGR of 20.3% during the forecast period. A data pipeline is a group of operations, instruments, and methods used to process raw data. Pipelines, which facilitate the transportation of data from its origin to its target for storage and analysis are made up of several interconnected processes connected in series.

データパイプラインツール市場 : コンポーネント (ツールとサービス)、ツールの種類 (ETL データパイプライン、ELT データパイプライン、ストリーミングデータパイプライン、およびバッチデータパイプライン)、用途、展開モード、組織の規模、垂直、地域別 - 2027 年までの世界予測

Data is ingested and then processed via each of these processes, with the result from one step serving as the input for the next. Modern pipelines are constructed using many different concepts and technologies that integrate and converse with one another. To cut down on the time, effort, and expense involved in creating links across the different components in the pipeline, tools with built-in integration is used. The market for data pipeline tools has seen great development because of the integration of these tools with other technologies like big data, IoT, and more.

The ETL Data Pipeline segment to have the highest CAGR during the forecast period
By type, the data pipeline tools had been segmented into ETL Data Pipeline, ELT Data Pipeline, Streaming Data Pipeline, Batch Data Pipeline, and Change Data Capture Pipeline. Among all the ETL Data Pipeline segment to have the highest CAGR during the forecast period. The collection of procedures used to transfer data from one or more sources into a database, such as a data warehouse, is known as an ETL pipeline. The three interconnected data transformation procedures known as extract, transform, and load (ETL). Data can be loaded and then used for monitoring, research, and the creation of useful business insights. Source data from disparate systems needs to be migrated, aggregated, and adjusted to match with the features and functions of the target database to deliver valuable observations. Businesses can streamline their data analysis by switching to cloud-based software services and enhanced ETL pipelines. Businesses that currently use batch processing can adopt continuous processing techniques without altering their existing workflows. The deployment can begin with specific types of data. ETL pipelines significantly help firms achieve an edge over its competitors by giving decision-makers more authority.

The deployment & integration solution is registered to grow at the highest CAGR during the forecast period
By services, the data pipeline tools had been segmented into Consulting, deployment & implementation, support & maintenance. Integration and deployment services give businesses technical know-how and help them choose the best software architecture in accordance with their operational needs. Therefore, the proper number of connectors and back-end integration skills are needed for system integration and deployment services. These services are becoming increasingly popular among end users all over the world since they make sure that systems interact well with one another to enhance the efficiency of the whole production and supply chain process.

Among applications, Real-time Analytics application is anticipated to register the largest market size during the forecast period
In current day and age, organizations are driven by a need to make data-driven decisions. Streaming data pipeline tools enable handling millions of events at scale and offer capabilities of collecting, analyzing, and storing large volume of information for enterprises. Such tools are essentially critical for applying real time analytics and reporting. These tools can also enable streaming real time application data from legacy mainframe systems for business-critical applications that necessitate reporting and analytics. Streaming data pipelines offer businesses in achieving a competitive advantage and are particularly useful in assuring data accessibility across the enterprise.

North America to account for the largest market size during the forecast period
North America is expected to have the largest market share in the data pipeline tools market. North America is one of most captivate regions in data pipelining tools market. The US is the largest market for data pipelining tools and solutions in the North American region. The increased simplification to unify large data volumes of huge enterprises around the country over a single cloud platform drives the adoption of data pipelining tools and services in the US. With the help of end-to-end data pipelines, it is easier to keep an eye on the data transformation at every single stage while it travels from the source till the visual analytics that provide actionable insights. This provides added security in the data integration and pipelining process. The companies based in the US are rapidly providing end-to-end data pipelines to identify and respond to potential cyberattacks and minimizing security breaches compared to traditional data integration methods. For instance, Snowflake, a US-based technology company, provides Data Cloud for cybersecurity.

Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the data pipeline tools market.
 By Company: Tier I: 62%, Tier II: 23%, and Tier III: 15%
 By Designation: C-Level Executives: 38%, D-Level Executives: 30%, and Others: 32%
 By Region: APAC: 35%, Europe: 15%, North America: 40%, MEA: 5%, Latin America: 5%
The report includes the study of key players offering data pipeline tools and services. It profiles major vendors in the global data pipeline tools market. The major vendors in the global data pipeline tools market include Google (US), IBM (US), AWS (US), Oracle (US), Microsoft (US), SAP SE (Germany), Actian (US), Software AG (Germany), Denodo Technologies (US), Snowflake (US), Tibco (US), Adeptia (US), SnapLogic (US), K2View (US), Precisely (US), TapClicks (US), Talend (US), Rivery.io (US), Alteryx (US), Informatica (US), Qlik (US), Hitachi Vantara (US), Hevodata (US), Gathr (US), Confluent (US), Estuary Flow (US), Blendo (US), Integrate.io (US), and Fivetran (US).

データパイプラインツール市場 : コンポーネント (ツールとサービス)、ツールの種類 (ETL データパイプライン、ELT データパイプライン、ストリーミングデータパイプライン、およびバッチデータパイプライン)、用途、展開モード、組織の規模、垂直、地域別 - 2027 年までの世界予測
Research Coverage
The market study covers the data pipeline tools market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as components, deployment mode, organization size, application, type, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall data pipeline tools market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.


目次

1 INTRODUCTION 38
1.1 OBJECTIVES 38
1.2 MARKET DEFINITION 38
1.2.1 INCLUSIONS AND EXCLUSIONS 38
1.3 MARKET SCOPE 39
1.3.1 MARKET SEGMENTATION 39
1.3.2 REGIONS COVERED 40
1.3.3 YEARS CONSIDERED 40
1.4 CURRENCY CONSIDERED 41
TABLE 1 USD EXCHANGE RATES, 2019–2021 41
1.5 STAKEHOLDERS 41
2 RESEARCH METHODOLOGY 42
2.1 RESEARCH DATA 42
FIGURE 1 DATA PIPELINE TOOLS: RESEARCH DESIGN 42
2.1.1 SECONDARY DATA 43
2.1.2 PRIMARY DATA 43
TABLE 2 PRIMARY INTERVIEWS 43
2.1.2.1 Breakup of primary profiles 44
2.1.2.2 Key industry insights 44
2.2 DATA TRIANGULATION 45
FIGURE 2 DATA TRIANGULATION 45
2.3 MARKET SIZE ESTIMATION 46
FIGURE 3 DATA PIPELINE TOOLS: TOP-DOWN AND BOTTOM-UP APPROACHES 46
2.3.1 TOP-DOWN APPROACH 46
2.3.2 BOTTOM-UP APPROACH 47
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF DATA PIPELINE TOOLS 47
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL DATA PIPELINE TOOLS/SERVICES 48
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF DATA PIPELINE TOOLS 49
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF DATA PIPELINE TOOLS THROUGH OVERALL SPENDING 49
2.4 MARKET FORECAST 50
TABLE 3 FACTOR ANALYSIS 50
2.5 COMPANY EVALUATION MATRIX METHODOLOGY 51
FIGURE 8 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 51
2.6 STARTUP/SME EVALUATION MATRIX METHODOLOGY 52
FIGURE 9 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 52
2.7 ASSUMPTIONS FOR THE STUDY 53
2.8 LIMITATIONS 54
3 EXECUTIVE SUMMARY 55
TABLE 4 DATA PIPELINE TOOLS MARKET SIZE AND GROWTH RATE, 2016–2021 (USD MILLION, Y-O-Y) 55
TABLE 5 DATA PIPELINE TOOLS MARKET SIZE AND GROWTH RATE, 2022–2027 (USD MILLION, Y-O-Y) 56
FIGURE 10 TOOLS TO ACCOUNT FOR LARGER MARKET IN 2022 56
FIGURE 11 CONSULTING SERVICES TO ACCOUNT FOR LARGER MARKET SHARE IN 2022 56
FIGURE 12 REAL-TIME ANALYTICS & PREDICTIVE MAINTENANCE APPLICATIONS TO ACCOUNT FOR LARGEST MARKET IN 2022 57
FIGURE 13 ON-PREMISE DEPLOYMENT TO ACCOUNT FOR LARGER MARKET IN 2022 57
FIGURE 14 LARGE ENTERPRISES TO ACCOUNT FOR LARGER MARKET SHARE IN 2022 58
FIGURE 15 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL TO BE LARGEST VERTICAL IN 2022 58
FIGURE 16 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2022 59
4 PREMIUM INSIGHTS 60
4.1 ATTRACTIVE MARKET OPPORTUNITIES FOR DATA PIPELINE TOOLS MARKET PLAYERS 60
FIGURE 17 HIGH DEMAND FOR TOOLS TRANSFERRING DATA FROM PREMISES TO CLOUD TO DRIVE MARKET DURING FORECAST PERIOD 60
4.2 DATA PIPELINE TOOLS MARKET, BY VERTICAL 60
FIGURE 18 BANKING, FINANCIAL SERVICES, AND INSURANCE VERTICAL TO BE LARGEST VERTICAL DURING FORECAST PERIOD 60
4.3 DATA PIPELINE TOOLS MARKET, BY REGION 61
FIGURE 19 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET BY 2027 61
4.4 DATA PIPELINE TOOLS MARKET: TOP THREE BUSINESS APPLICATIONS AND VERTICALS 61
FIGURE 20 REAL-TIME ANALYTICS & PREDICTIVE MAINTENANCE AND BFSI TO BE LARGEST RESPECTIVE MARKETS BY 2022 61
5 MARKET OVERVIEW AND TRENDS 62
5.1 INTRODUCTION 62
5.2 MARKET DYNAMICS 62
FIGURE 21 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: DATA PIPELINE TOOLS MARKET 62
5.2.1 DRIVERS 63
5.2.1.1 Need for agility to meet peaks in demand 63
5.2.1.2 Emergence of cloud computing technologies 63
5.2.2 RESTRAINTS 63
5.2.2.1 Lack of expertise among workforce 63
5.2.3 OPPORTUNITIES 64
5.2.3.1 Overcoming the lacunae of traditional data management tools 64
5.2.3.2 Necessity to reduce data latency 64
5.2.4 CHALLENGES 64
5.2.4.1 Updating data pipeline using ETL impacts data quality 64
5.2.4.2 Duplicate data 64
5.2.4.3 Data downtime 65
5.2.4.4 Reluctance to adopt advanced tools and technologies 65
5.3 DATA PIPELINE TOOLS: EVOLUTION 65
FIGURE 22 EVOLUTION OF DATA PIPELINE TOOLS 66
5.4 ECOSYSTEM 66
TABLE 6 DATA PIPELINE TOOLS MARKET: ECOSYSTEM 66
5.5 CASE STUDY ANALYSIS 68
5.5.1 BANKING, FINANCIAL SERVICES, AND INSURANCE 68
5.5.1.1 Combined 23 disparate ERP systems into a single SAP ERP application 68
5.5.1.2 Big Data platform implementation on Amazon Web Services for Norway’s largest bank 68
5.5.2 TRANSPORTATION & LOGISTICS 69
5.5.2.1 Convoy builds a continuous data pipeline with the data cloud 69
5.5.3 RETAIL & CONSUMER GOODS 70
5.5.3.1 Leading eCommerce site gained improved data accessibility 70
5.5.4 HEALTHCARE & LIFE SCIENCES 70
5.5.4.1 CDPHP modernized infrastructure and improved ability to extract valuable medical data on AWS 70
5.5.5 MEDIA & ENTERTAINMENT 71
5.5.5.1 GumGum utilized AWS data pipeline to handle high data volume growth 71
5.6 SUPPLY CHAIN ANALYSIS 71
FIGURE 23 SUPPLY CHAIN ANALYSIS 71
5.7 PORTER’S FIVE FORCES 72
FIGURE 24 DATA PIPELINE TOOLS MARKET: PORTER’S FIVE FORCES ANALYSIS 72
TABLE 7 DATA PIPELINE TOOLS MARKET: PORTER’S FIVE FORCES ANALYSIS 73
5.7.1 THREAT OF NEW ENTRANTS 73
5.7.2 THREAT OF SUBSTITUTES 73
5.7.3 BARGAINING POWER OF SUPPLIERS 73
5.7.4 BARGAINING POWER OF BUYERS 73
5.7.5 INTENSITY OF COMPETITIVE RIVALRY 74
5.8 PRICING ANALYSIS 74
TABLE 8 DATA PIPELINE TOOLS MARKET: PRICING LEVELS 74
FIGURE 25 AVERAGE SELLING PRICES OF KEY COMPANIES (USD) 75
5.9 PATENT ANALYSIS 76
5.9.1 METHODOLOGY 76
5.9.2 DOCUMENT TYPE 76
TABLE 9 PATENTS FILED, 2018–2021 76
5.9.3 INNOVATION AND PATENT APPLICATIONS 76
FIGURE 26 ANNUAL NUMBER OF PATENTS GRANTED, 2018–2021 76
5.9.3.1 Top applicants 77
FIGURE 27 TOP TEN PATENT APPLICANTS, 2018–2021 77
TABLE 10 US: TOP TEN PATENT OWNERS IN DATA PIPELINE TOOLS MARKET, 2018–2021 77
5.10 TECHNOLOGY ANALYSIS 78
5.10.1 ARTIFICIAL INTELLIGENCE 78
5.10.2 MACHINE LEARNING 78
5.10.3 IOT 78
5.10.4 CLOUD COMPUTING 79
5.10.5 BIG DATA 79
5.11 KEY CONFERENCES & EVENTS 79
TABLE 11 DATA PIPELINE TOOLS MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2022–2023 79
5.12 TARIFF AND REGULATORY LANDSCAPE 80
5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 80
TABLE 12 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 80
TABLE 13 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 81
TABLE 14 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 82
TABLE 15 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 82
TABLE 16 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 83
5.12.2 NORTH AMERICA: REGULATIONS 83
5.12.2.1 Personal Information Protection and Electronic Documents Act (PIPEDA) 83
5.12.2.2 Gramm-Leach-Bliley (GLB) Act 83
5.12.2.3 Health Insurance Portability and Accountability Act (HIPAA) of 1996 83
5.12.2.4 Federal Information Security Management Act (FISMA) 84
5.12.2.5 Federal Information Processing Standards (FIPS) 84
5.12.2.6 California Consumer Privacy Act (CCPA) 85
5.12.3 EUROPE: TARIFFS AND REGULATIONS 85
5.12.3.1 GDPR 2016/679 85
5.12.3.2 General Data Protection Regulation 85
5.12.3.3 European Committee for Standardization (CEN) 85
5.12.3.4 European Technical Standards Institute (ETSI) 85
5.13 KEY STAKEHOLDERS & BUYING CRITERIA 86
5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS 86
TABLE 17 INFLUENCE OF STAKEHOLDERS IN BUYING PROCESS FOR TOP THREE APPLICATIONS 86
5.13.2 BUYING CRITERIA 86
TABLE 18 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 86
6 DATA PIPELINE TOOLS MARKET, BY COMPONENT 87
6.1 INTRODUCTION 88
6.1.1 COMPONENT: DATA PIPELINE TOOLS MARKET DRIVERS 88
FIGURE 28 SERVICES TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 88
TABLE 19 DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 89
TABLE 20 DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 89
6.2 TOOLS 89
6.2.1 GREATER NEED TO ACCESS DATA FROM DATA WAREHOUSE 89
FIGURE 29 ETL DATA PIPELINE TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 90
TABLE 21 TOOLS: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2016–2021 (USD MILLION) 90
TABLE 22 TOOLS: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2022–2027 (USD MILLION) 90
TABLE 23 DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY REGION, 2016–2021 (USD MILLION) 91
TABLE 24 DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY REGION, 2022–2027 (USD MILLION) 91
6.3 SERVICES 91
6.3.1 GROWING PRODUCT ACCEPTANCE TO DRIVE ADOPTION OF DATA PIPELINE TOOLS 91
FIGURE 30 DEPLOYMENT & INTEGRATION SERVICES TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 92
TABLE 25 DATA PIPELINE SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 92
TABLE 26 DATA PIPELINE SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 92
TABLE 27 DATA PIPELINE SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 93
TABLE 28 DATA PIPELINE SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 93
6.3.1.1 Consulting 93
6.3.1.1.1 Scope to enable companies to lower risks and focus on business 93
TABLE 29 DATA PIPELINE TOOL CONSULTING SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 94
TABLE 30 DATA PIPELINE TOOL CONSULTING SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 94
6.3.1.2 Support & maintenance 94
6.3.1.2.1 Increase in demand due to shifting economic situations 94
TABLE 31 DATA PIPELINE TOOL SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 95
TABLE 32 DATA PIPELINE TOOL SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 95
6.3.1.3 Deployment & integration 95
6.3.1.3.1 Need to ensure minimum risks among companies to drive demand 95
TABLE 33 DATA PIPELINE TOOL DEPLOYMENT & INTEGRATION SERVICES MARKET, BY REGION, 2016–2021 (USD MILLION) 96
TABLE 34 DATA PIPELINE TOOL DEPLOYMENT & INTEGRATION SERVICES MARKET, BY REGION, 2022–2027 (USD MILLION) 96
7 DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE 97
7.1 INTRODUCTION 98
7.1.1 ORGANIZATION SIZE: DATA PIPELINE TOOLS MARKET DRIVERS 98
FIGURE 31 SMALL- & MEDIUM-SIZED ENTERPRISES SEGMENT TO REGISTER A HIGHER CAGR DURING FORECAST PERIOD 98
TABLE 35 DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 99
TABLE 36 DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 99
7.2 LARGE ENTERPRISES 99
7.2.1 UNSTRUCTURED DATA: MAJOR CONCERN AMONG LARGE ENTERPRISES 99
TABLE 37 LARGE ENTERPRISES MARKET, BY REGION, 2016–2021 (USD MILLION) 99
TABLE 38 LARGE ENTERPRISES MARKET, BY REGION, 2022–2027 (USD MILLION) 100
7.3 SMALL- & MEDIUM-SIZED ENTERPRISES 100
7.3.1 RISE IN NEED TO ACCESS DATA IN REAL-TIME FOR BETTER DECISIONS 100
TABLE 39 SMALL- & MEDIUM-SIZED ENTERPRISES MARKET, BY REGION, 2016–2021 (USD MILLION) 100
TABLE 40 SMALL- & MEDIUM-SIZED ENTERPRISES MARKET, BY REGION, 2022–2027 (USD MILLION) 101
8 DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE 102
8.1 INTRODUCTION 103
8.1.1 DEPLOYMENT MODE: DATA PIPELINE TOOLS MARKET DRIVERS 103
FIGURE 32 CLOUD DEPLOYMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 103
TABLE 41 DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 104
TABLE 42 DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 104
8.2 ON-PREMISES 104
8.2.1 DATA PIPELINE CONNECTS DATABASES TO CENTRALIZED INTERFACE TO EASE BUSINESS 104
TABLE 43 ON-PREMISE DATA PIPELINE TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 105
TABLE 44 ON-PREMISE DATA PIPELINE TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 105
8.3 CLOUD 105
8.3.1 FLEXIBILITY AND SCALABILITY TO BOOST ADOPTION OF CLOUD-BASED DATA PIPELINE TOOLS 105
TABLE 45 CLOUD-BASED DATA PIPELINE TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 106
TABLE 46 CLOUD-BASED DATA PIPELINE TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 106
9 DATA PIPELINE TOOLS MARKET, BY TYPE 107
9.1 INTRODUCTION 108
9.1.1 TYPE: DATA PIPELINE TOOLS MARKET DRIVERS 108
FIGURE 33 ETL DATA PIPELINE TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 108
TABLE 47 DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2016–2021 (USD MILLION) 109
TABLE 48 DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2022–2027 (USD MILLION) 109
9.2 ELT DATA PIPELINE 109
9.2.1 USAGE OF CLOUD TO DRIVE SHIFT FROM ETL TO ELT 109
TABLE 49 ELT DATA PIPELINE TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 110
TABLE 50 ELT DATA PIPELINE TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 110
9.3 ETL DATA PIPELINE 110
9.3.1 CENTRALIZING AND STANDARDIZING DATA TO ENABLE EASY ACCESS TO EXPERTS AND DECISION-MAKERS 110
TABLE 51 ETL DATA PIPELINE TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 111
TABLE 52 ETL DATA PIPELINE TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 111
9.4 STREAMING DATA PIPELINE 111
9.4.1 REAL-TIME DATA MORE CRUCIAL IN STREAMING DATA PIPELINE 111
TABLE 53 STREAMING DATA PIPELINE DATA PIPELINE TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 112
TABLE 54 STREAMING DATA PIPELINE TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 112
9.5 BATCH DATA PIPELINE 112
9.5.1 FLEXIBILITY AND SCALABILITY TO BOOST ADOPTION OF CLOUD-BASED DATA PIPELINE TOOLS SOFTWARE 112
TABLE 55 BATCH DATA PIPELINE TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 113
TABLE 56 BATCH DATA PIPELINE TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 113
9.6 CHANGE DATA CAPTURE PIPELINE (CDC) 113
9.6.1 CHANGE DATA CAPTURE ESSENTIAL TO PREVENT LOSS AND DESTRUCTION OF DATA 113
TABLE 57 CHANGE DATA CAPTURE PIPELINE TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 114
TABLE 58 CHANGE DATA CAPTURE PIPELINE TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 114

10 DATA PIPELINE TOOLS MARKET, BY APPLICATION 115
10.1 INTRODUCTION 116
10.1.1 APPLICATION: DATA PIPELINE TOOLS MARKET DRIVERS 116
FIGURE 34 CUSTOMER EXPERIENCE MANAGEMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 116
TABLE 59 DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 117
TABLE 60 DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 117
10.2 REAL-TIME ANALYTICS & PREDICTIVE MAINTENANCE 117
10.2.1 ELIMINATE DATA PIPELINE DOWNTIME AND PROVIDE REAL-TIME DATA ANALYSIS 117
TABLE 61 REAL-TIME ANALYTICS & PREDICTIVE MAINTENANCE APPLICATIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 118
TABLE 62 REAL-TIME ANALYTICS & PREDICTIVE MAINTENANCE APPLICATIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 118
10.3 SALES & MARKETING DATA 119
10.3.1 NEED TO REDUCE DATA GATHERING TIME FROM VARIOUS SOURCES AND STORE DATA AT SINGLE LOCATION 119
TABLE 63 SALES & MARKETING DATA APPLICATIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 119
TABLE 64 SALES & MARKETING DATA APPLICATIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 120
10.4 CUSTOMER 360 & CUSTOMER RELATIONSHIP MANAGEMENT 120
10.4.1 NEED TO ANALYZE CUSTOMER BEHAVIOR AND REDUCE CUSTOMER CHURN 120
TABLE 65 CUSTOMER 360 & CUSTOMER RELATIONSHIP MANAGEMENT APPLICATIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 120
TABLE 66 CUSTOMER 360 & CUSTOMER RELATIONSHIP MANAGEMENT APPLICATIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 121
10.5 CUSTOMER EXPERIENCE MANAGEMENT 121
10.5.1 UNIFIED CUSTOMER VIEWS ACROSS CUSTOMER ECOSYSTEM TO ENHANCE CUSTOMER EXPERIENCE 121
TABLE 67 CUSTOMER EXPERIENCE MANAGEMENT APPLICATIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 121
TABLE 68 CUSTOMER EXPERIENCE MANAGEMENT APPLICATIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 122
10.6 DATA MIGRATION 122
10.6.1 DEMAND TO SIMPLIFY DATA MIGRATION PROCESS BY CREATING BATCH AND STREAMING DATA PIPELINE 122
TABLE 69 DATA MIGRATION APPLICATIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 122
TABLE 70 DATA MIGRATION APPLICATIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 123
10.7 OTHER APPLICATIONS 123
TABLE 71 OTHER APPLICATIONS MARKET, BY REGION, 2016–2021 (USD MILLION) 124
TABLE 72 OTHER APPLICATIONS MARKET, BY REGION, 2022–2027 (USD MILLION) 124
11 DATA PIPELINE TOOLS MARKET, BY VERTICAL 125
11.1 INTRODUCTION 126
11.1.1 VERTICAL: DATA PIPELINE TOOLS MARKET DRIVERS 126
FIGURE 35 HEALTHCARE & LIFE SCIENCES VERTICAL TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 126
TABLE 73 DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 127
TABLE 74 DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 127
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 128
11.2.1 NEED TO ENHANCE QUALITY OF SERVICES AND MAKE REAL-TIME SMART DECISIONS TO DRIVE GROWTH 128
TABLE 75 BFSI VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 128
TABLE 76 BFSI VERTICALS MARKET, BY REGION, 2022–2027 (USD MILLION) 128
11.3 RETAIL & ECOMMERCE 129
11.3.1 CONTINUOUS DATA PIPELINE FLOW TO HELP ANALYZE CONSUMER BEHAVIOR IN REAL-TIME 129
TABLE 77 RETAIL & ECOMMERCE VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 129
TABLE 78 RETAIL & ECOMMERCE VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 130
11.4 GOVERNMENT & DEFENSE 130
11.4.1 EFFECTIVE TRANSFORMATION OF DATA WITHOUT LOSING PACKETS TO HELP IN FASTER DECISION-MAKING 130
TABLE 79 GOVERNMENT & DEFENSE VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 131
TABLE 80 GOVERNMENT & DEFENSE VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 131
11.5 HEALTHCARE & LIFE SCIENCES 131
11.5.1 PRESSURE FROM INSURERS AND IMPACT OF PHYSICIANS TO DRIVE ADOPTION OF ROBUST DATA PIPELINES 131
TABLE 81 HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 132
TABLE 82 HEALTHCARE & LIFE SCIENCES VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 132
11.6 IT & ITES 133
11.6.1 RISING COMPLEXITY AND FAST INNOVATION TO DRIVE NEED FOR STREAMLINED DATA PIPELINES 133
TABLE 83 IT & ITES VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 133
TABLE 84 IT & ITES VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 133
11.7 ENERGY & UTILITIES 134
11.7.1 ADVANCED DATA PIPELINE TOOLS TO HELP BUILD ACCOUNTABLE, TRANSPARENT, FAIR, AND SECURE SYSTEMS 134
TABLE 85 ENERGY & UTILITIES VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 134
TABLE 86 ENERGY & UTILITIES VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 134

11.8 TELECOMMUNICATION 135
11.8.1 DEPLOYMENT OF DATA PIPELINE TOOLS TO REDUCE NETWORK ANOMALIES BY MAINTAINING CONTINUOUS DATA FLOW 135
TABLE 87 TELECOMMUNICATION VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 135
TABLE 88 TELECOMMUNICATION VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 135
11.9 MANUFACTURING 136
11.9.1 RISE IN USE OF ROBUST DATA PIPELINE TOOLS TO PREDICT MACHINE DOWNTIME AND MAINTENANCE 136
TABLE 89 MANUFACTURING VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 136
TABLE 90 MANUFACTURING VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 136
11.10 TRANSPORTATION & LOGISTICS 137
11.10.1 GROWING NEED FOR SEAMLESS INTEGRATED DATA PIPELINE ACROSS MULTI-MODEL TRANSPORTATION NETWORK 137
TABLE 91 TRANSPORTATION & LOGISTICS VERTICAL MARKET, BY REGION, 2016–2021 (USD MILLION) 137
TABLE 92 TRANSPORTATION & LOGISTICS VERTICAL MARKET, BY REGION, 2022–2027 (USD MILLION) 137
11.11 OTHER VERTICALS 138
TABLE 93 OTHER VERTICALS MARKET, BY REGION, 2016–2021 (USD MILLION) 138
TABLE 94 OTHER VERTICALS MARKET, BY REGION, 2022–2027 (USD MILLION) 138
12 DATA PIPELINE TOOLS MARKET, BY REGION 139
12.1 INTRODUCTION 140
FIGURE 36 THAILAND TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 140
FIGURE 37 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 140
TABLE 95 DATA PIPELINE MARKET TOOLS MARKET, BY REGION, 2016–2021 (USD MILLION) 141
TABLE 96 DATA PIPELINE MARKET TOOLS MARKET, BY REGION, 2022–2027 (USD MILLION) 141
12.2 NORTH AMERICA 141
12.2.1 NORTH AMERICA: DATA PIPELINE TOOLS MARKET DRIVERS 142
FIGURE 38 NORTH AMERICA: MARKET SNAPSHOT 142
TABLE 97 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 143
TABLE 98 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 143
TABLE 99 NORTH AMERICA: DATA PIPELINE SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 143
TABLE 100 NORTH AMERICA: DATA PIPELINE SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 143
TABLE 101 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 144
TABLE 102 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 144
TABLE 103 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 144
TABLE 104 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 144
TABLE 105 NORTH AMERICA: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2016–2021 (USD MILLION) 145
TABLE 106 NORTH AMERICA: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2022–2027 (USD MILLION) 145
TABLE 107 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 145
TABLE 108 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 146
TABLE 109 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 146
TABLE 110 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 147
TABLE 111 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 147
TABLE 112 NORTH AMERICA: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 147
12.2.2 US 148
12.2.2.1 Presence of several global players to increase demand for data pipelines 148
12.2.3 CANADA 148
12.2.3.1 Rapid adoption of flexible and intuitive data pipeline tools and services 148
12.3 EUROPE 149
12.3.1 EUROPE: DATA PIPELINE TOOLS MARKET DRIVERS 149
TABLE 113 EUROPE: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 149
TABLE 114 EUROPE: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 149
TABLE 115 EUROPE: DATA PIPELINE SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 150
TABLE 116 EUROPE: DATA PIPELINE SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 150
TABLE 117 EUROPE: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 150
TABLE 118 EUROPE: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 150
TABLE 119 EUROPE: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 151
TABLE 120 EUROPE: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 151
TABLE 121 EUROPE: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2016–2021 (USD MILLION) 151
TABLE 122 EUROPE: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2022–2027 (USD MILLION) 152
TABLE 123 EUROPE: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 152
TABLE 124 EUROPE: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 152
TABLE 125 EUROPE: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 153
TABLE 126 EUROPE: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 153
TABLE 127 EUROPE: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 154
TABLE 128 EUROPE: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 154
12.3.2 UK 154
12.3.2.1 Focus on research & development of advanced technologies to drive growth 154
12.3.3 GERMANY 155
12.3.3.1 Rapid adoption of modern technologies across various verticals to fuel expansion 155
12.3.4 FRANCE 155
12.3.4.1 Government investments in infrastructure and modern technologies to fuel growth 155
12.3.5 REST OF EUROPE 155
12.4 ASIA PACIFIC 156
12.4.1 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET DRIVERS 156
FIGURE 39 ASIA PACIFIC: MARKET SNAPSHOT 157
TABLE 129 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 157
TABLE 130 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 158
TABLE 131 ASIA PACIFIC: DATA PIPELINE SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 158
TABLE 132 ASIA PACIFIC: DATA PIPELINE SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 158
TABLE 133 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 158
TABLE 134 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 159
TABLE 135 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 159
TABLE 136 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 159
TABLE 137 ASIA PACIFIC: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2016–2021 (USD MILLION) 159
TABLE 138 ASIA PACIFIC: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2022–2027 (USD MILLION) 160
TABLE 139 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 160
TABLE 140 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 160
TABLE 141 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 161
TABLE 142 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 161
TABLE 143 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 162
TABLE 144 ASIA PACIFIC: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 162
12.4.2 CHINA 162
12.4.2.1 Rapid adoption of advanced technologies across various verticals to increase demand 162
12.4.3 THAILAND 163
12.4.3.1 Rise in government and foreign investment to boost demand 163
12.4.4 MYANMAR 163
12.4.4.1 Advancement and expansion of technologies to drive growth 163
12.4.5 VIETNAM 163
12.4.5.1 Adoption of modern technologies to fuel growth 163
12.4.6 JAPAN 163
12.4.6.1 Growth in innovation and initiatives to propel market 163
12.4.7 INDIA 164
12.4.7.1 Foreign investment in Indian firms to drive growth 164
12.4.8 REST OF ASIA PACIFIC 164
12.5 MIDDLE EAST & AFRICA 164
12.5.1 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET DRIVERS 164
TABLE 145 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 164
TABLE 146 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 165
TABLE 147 MIDDLE EAST & AFRICA: DATA PIPELINE SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 165
TABLE 148 MIDDLE EAST & AFRICA: DATA PIPELINE SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 165
TABLE 149 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 165
TABLE 150 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 166
TABLE 151 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 166
TABLE 152 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 166
TABLE 153 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2016–2021 (USD MILLION) 166
TABLE 154 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2022–2027 (USD MILLION) 167
TABLE 155 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 167
TABLE 156 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 167
TABLE 157 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 168
TABLE 158 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 168
TABLE 159 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY SUBREGION, 2016–2021 (USD MILLION) 169
TABLE 160 MIDDLE EAST & AFRICA: DATA PIPELINE TOOLS MARKET, BY SUBREGION, 2022–2027 (USD MILLION) 169
12.5.2 MIDDLE EAST 169
12.5.2.1 Higher expenditure on emerging technologies to offer opportunities to drive growth 169
12.5.3 AFRICA 169
12.5.3.1 Widespread adoption of technologies to improve business applications 169
12.6 LATIN AMERICA 170
12.6.1 LATIN AMERICA: DATA PIPELINE TOOLS MARKET DRIVERS 170
TABLE 161 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2016–2021 (USD MILLION) 170
TABLE 162 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY COMPONENT, 2022–2027 (USD MILLION) 170
TABLE 163 LATIN AMERICA: DATA PIPELINE SERVICES MARKET, BY TYPE, 2016–2021 (USD MILLION) 171
TABLE 164 LATIN AMERICA: DATA PIPELINE SERVICES MARKET, BY TYPE, 2022–2027 (USD MILLION) 171
TABLE 165 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION) 171
TABLE 166 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION) 171
TABLE 167 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION) 172
TABLE 168 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION) 172
TABLE 169 LATIN AMERICA: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2016–2021 (USD MILLION) 172
TABLE 170 LATIN AMERICA: DATA PIPELINE TOOLS SUBSEGMENT MARKET, BY TYPE, 2022–2027 (USD MILLION) 173
TABLE 171 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2016–2021 (USD MILLION) 173
TABLE 172 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY APPLICATION, 2022–2027 (USD MILLION) 173
TABLE 173 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2016–2021 (USD MILLION) 174
TABLE 174 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY VERTICAL, 2022–2027 (USD MILLION) 174
TABLE 175 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2016–2021 (USD MILLION) 175
TABLE 176 LATIN AMERICA: DATA PIPELINE TOOLS MARKET, BY COUNTRY, 2022–2027 (USD MILLION) 175
12.6.2 BRAZIL 175
12.6.2.1 Need to integrate and validate data collected from sources to drive demand 175
12.6.3 MEXICO 176
12.6.3.1 Rapid adoption of modern technology and initiatives by government to drive demand 176
12.6.4 REST OF LATIN AMERICA 176
13 COMPETITIVE LANDSCAPE 177
13.1 OVERVIEW 177
13.2 STRATEGIES ADOPTED BY KEY PLAYERS 177
TABLE 177 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN DATA PIPELINE TOOLS MARKET 177
13.3 REVENUE ANALYSIS 178
FIGURE 40 REVENUE ANALYSIS FOR KEY COMPANIES IN PAST FIVE YEARS (USD MILLION) 178
13.4 MARKET SHARE ANALYSIS 179
FIGURE 41 DATA PIPELINE TOOLS MARKET SHARE ANALYSIS FOR KEY PLAYERS IN 2022 179
TABLE 178 DATA PIPELINE TOOLS MARKET: DEGREE OF COMPETITION 179
13.5 COMPANY EVALUATION QUADRANT 180
13.5.1 STARS 180
13.5.2 EMERGING LEADERS 180
13.5.3 PERVASIVE PLAYERS 180
13.5.4 PARTICIPANTS 180
FIGURE 42 KEY DATA PIPELINE TOOLS MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2022 181
13.6 STARTUP/SME EVALUATION MATRIX 182
13.6.1 PROGRESSIVE COMPANIES 182
13.6.2 RESPONSIVE COMPANIES 182
13.6.3 DYNAMIC COMPANIES 182
13.6.4 STARTING BLOCKS 182
FIGURE 43 DATA PIPELINE TOOL STARTUPS/SMES, COMPANY EVALUATION MATRIX, 2022 183
13.7 COMPETITIVE BENCHMARKING 184
TABLE 179 DATA PIPELINE TOOLS MARKET: DETAILED LIST OF KEY STARTUPS/SMES 184
TABLE 180 DATA PIPELINE TOOLS MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS (STARTUPS/SMES) 184
13.8 COMPETITIVE SCENARIO 185
13.8.1 PRODUCT LAUNCHES 185
TABLE 181 PRODUCT LAUNCHES, 2018–2022 185
13.8.2 DEALS 186
TABLE 182 DEALS, 2018–2022 186
13.8.3 OTHERS 188
TABLE 183 OTHERS, 2018–2022 188

14 COMPANY PROFILES 189
(Business Overview, Solutions offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*
14.1 KEY PLAYERS 189
14.1.1 GOOGLE 189
TABLE 184 GOOGLE: BUSINESS OVERVIEW 190
FIGURE 44 GOOGLE: COMPANY SNAPSHOT 190
TABLE 185 GOOGLE: SOLUTIONS OFFERED 191
TABLE 186 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS 192
TABLE 187 GOOGLE: DEALS 194
14.1.2 IBM 196
TABLE 188 IBM: BUSINESS OVERVIEW 196
FIGURE 45 IBM: COMPANY SNAPSHOT 197
TABLE 189 IBM: SOLUTIONS OFFERED 197
TABLE 190 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS 198
TABLE 191 IBM: DEALS 200
TABLE 192 IBM: OTHERS 201
14.1.3 MICROSOFT 202
TABLE 193 MICROSOFT: BUSINESS OVERVIEW 202
FIGURE 46 MICROSOFT: COMPANY SNAPSHOT 203
TABLE 194 MICROSOFT: SOLUTIONS OFFERED 203
TABLE 195 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS 204
TABLE 196 MICROSOFT: DEALS 205
TABLE 197 MICROSOFT: OTHERS 206
14.1.4 AWS 207
TABLE 198 AWS: BUSINESS OVERVIEW 207
FIGURE 47 AWS: COMPANY SNAPSHOT 208
TABLE 199 AWS: SOLUTIONS OFFERED 208
TABLE 200 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS 209
TABLE 201 AWS: DEALS 210
TABLE 202 AWS: OTHERS 211
14.1.5 SAP 212
TABLE 203 SAP: BUSINESS OVERVIEW 212
FIGURE 48 SAP: COMPANY SNAPSHOT 213
TABLE 204 SAP: SOLUTIONS OFFERED 213
TABLE 205 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS 214
TABLE 206 SAP: DEALS 215
14.1.6 ORACLE 218
TABLE 207 ORACLE: BUSINESS OVERVIEW 218
FIGURE 49 ORACLE: COMPANY SNAPSHOT 219
TABLE 208 ORACLE: SOLUTIONS OFFERED 219
TABLE 209 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS 220
TABLE 210 ORACLE: DEALS 221
14.1.7 ALTERYX 223
TABLE 211 ALTERYX: BUSINESS OVERVIEW 223
FIGURE 50 ALTERYX: COMPANY SNAPSHOT 224
TABLE 212 ALTERYX: SOLUTIONS OFFERED 224
TABLE 213 ALTERYX: PRODUCT LAUNCHES AND ENHANCEMENTS 225
TABLE 214 ALTERYX: DEALS 225
14.1.8 INFORMATICA 228
TABLE 215 INFORMATICA: BUSINESS OVERVIEW 228
TABLE 216 INFORMATICA: SOLUTIONS OFFERED 228
TABLE 217 INFORMATICA: PRODUCT LAUNCHES AND ENHANCEMENTS 229
TABLE 218 INFORMATICA: DEALS 230
TABLE 219 INFORMATICA: OTHERS 231
14.1.9 ACTIAN 233
TABLE 220 ACTIAN: BUSINESS OVERVIEW 233
TABLE 221 ACTIAN: SOLUTIONS OFFERED 233
TABLE 222 ACTIAN: PRODUCT LAUNCHES AND ENHANCEMENTS 234
14.1.10 TALEND 235
TABLE 223 TALEND: BUSINESS OVERVIEW 235
FIGURE 51 TALEND: COMPANY SNAPSHOT 236
TABLE 224 TALEND: SOLUTIONS OFFERED 236
TABLE 225 TALEND: PRODUCT LAUNCHES AND ENHANCEMENTS 237
TABLE 226 TALEND: DEALS 238
TABLE 227 TALEND: OTHERS 239
14.1.11 DENODO TECHNOLOGIES 240
TABLE 228 DENODO TECHNOLOGIES: BUSINESS OVERVIEW 240
TABLE 229 DENODO TECHNOLOGIES: SOLUTIONS OFFERED 240
TABLE 230 DENODO TECHNOLOGIES: PRODUCT LAUNCHES AND ENHANCEMENTS 241
TABLE 231 DENODO TECHNOLOGIES: DEALS 241
14.1.12 SNOWFLAKE 243
TABLE 232 SNOWFLAKE: BUSINESS OVERVIEW 243
TABLE 233 SNOWFLAKE: SOLUTIONS OFFERED 243
TABLE 234 SNOWFLAKE: PRODUCT LAUNCHES AND ENHANCEMENTS 244
TABLE 235 SNOWFLAKE: DEALS 245
14.1.13 SOFTWARE AG 247
TABLE 236 SOFTWARE AG: BUSINESS OVERVIEW 247
TABLE 237 SOFTWARE AG: SOLUTIONS OFFERED 247
TABLE 238 SOFTWARE AG: PRODUCT LAUNCHES AND ENHANCEMENTS 248
TABLE 239 SOFTWARE AG: DEALS 249
14.1.14 HITACHI VANTARA 251
TABLE 240 HITACHI VANTARA: BUSINESS OVERVIEW 251
TABLE 241 HITACHI: SOLUTIONS OFFERED 251
TABLE 242 HITACHI VANTARA: PRODUCT LAUNCHES AND ENHANCEMENTS 252
TABLE 243 HITACHI VANTARA: DEALS 253
14.1.15 QLIK 254
TABLE 244 QLIK: BUSINESS OVERVIEW 254
TABLE 245 QLIK: SOLUTIONS OFFERED 254
TABLE 246 QLIK: PRODUCT LAUNCHES AND ENHANCEMENTS 255
TABLE 247 QLIK: DEALS 255
14.1.16 TIBCO 257
TABLE 248 TIBCO: BUSINESS OVERVIEW 257
TABLE 249 TIBCO: SOLUTIONS OFFERED 257
TABLE 250 TIBCO: PRODUCT LAUNCHES AND ENHANCEMENTS 258
TABLE 251 TIBCO: DEALS 258
14.1.17 HEVO DATA 260
TABLE 252 HEVO DATA: BUSINESS OVERVIEW 260
TABLE 253 HEVO DATA: SOLUTIONS OFFERED 260
TABLE 254 HEVO DATA: DEALS 261
14.1.18 ADEPTIA 262
14.1.19 SNAPLOGIC 263
14.1.20 K2VIEW 264
14.1.21 PRECISELY 264
14.1.22 TAPCLICKS 265
14.1.23 RIVERY.IO 265
14.2 STARTUP/SME PLAYERS 266
14.2.1 GATHR 266
14.2.2 CONFLUENT 266
14.2.3 ESTUARY FLOW 267
14.2.4 BLENDO 267
14.2.5 INTEGRATE.IO 268
14.2.6 FIVETRAN 268
*Details on Business Overview, Solutions offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.
15 ADJACENT AND RELATED MARKETS 269
15.1 INTRODUCTION 269
15.2 DATA INTEGRATION MARKET—GLOBAL FORECAST TO 2026 269
15.2.1 MARKET DEFINITION 269
15.2.2 MARKET OVERVIEW 269
15.2.3 DATA INTEGRATION MARKET, BY COMPONENT 269
TABLE 255 DATA INTEGRATION MARKET, BY COMPONENT, 2015–2020 (USD MILLION) 269
TABLE 256 DATA INTEGRATION MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 270
15.2.4 DATA INTEGRATION MARKET, BY APPLICATION 270
TABLE 257 DATA INTEGRATION MARKET, BY BUSINESS APPLICATION, 2015–2020 (USD MILLION) 270
TABLE 258 DATA INTEGRATION MARKET, BY BUSINESS APPLICATION, 2021–2026 (USD MILLION) 270
15.2.5 DATA INTEGRATION MARKET, BY DEPLOYMENT MODEL 271
TABLE 259 DATA INTEGRATION MARKET, BY DEPLOYMENT MODEL, 2015–2020 (USD MILLION) 271
TABLE 260 DATA INTEGRATION MARKET, BY DEPLOYMENT MODEL, 2021–2026 (USD MILLION) 271
15.2.6 DATA INTEGRATION MARKET, BY ORGANIZATION SIZE 271
TABLE 261 DATA INTEGRATION MARKET, BY ORGANIZATION SIZE, 2015–2020 (USD MILLION) 272
TABLE 262 DATA INTEGRATION MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 272
15.2.7 DATA INTEGRATION MARKET, BY VERTICAL 272
TABLE 263 DATA INTEGRATION MARKET, BY VERTICAL, 2015–2020 (USD MILLION) 272
TABLE 264 DATA INTEGRATION MARKET, BY VERTICAL, 2021–2026 (USD MILLION) 273
15.2.8 DATA INTEGRATION MARKET, BY REGION 273
TABLE 265 DATA INTEGRATION MARKET, BY REGION, 2015–2020 (USD MILLION) 273
TABLE 266 DATA INTEGRATION MARKET, BY REGION, 2021–2026 (USD MILLION) 274
15.3 BIG DATA MARKET—GLOBAL FORECAST TO 2026 274
15.3.1 MARKET DEFINITION 274
15.3.2 MARKET OVERVIEW 274
TABLE 267 BIG DATA MARKET SIZE AND GROWTH RATE,
2016–2020 (USD MILLION, Y-O-Y) 274
TABLE 268 BIG DATA MARKET SIZE AND GROWTH RATE,
2021–2026 (USD MILLION, Y-O-Y) 275
15.3.3 BIG DATA MARKET, BY COMPONENT 275
TABLE 269 BIG DATA MARKET, BY COMPONENT, 2016–2020 (USD MILLION) 275
TABLE 270 BIG DATA MARKET, BY COMPONENT, 2021–2026 (USD MILLION) 275
15.3.4 BIG DATA MARKET, BY BUSINESS FUNCTION 275
TABLE 271 BIG DATA MARKET, BY BUSINESS FUNCTION, 2016–2020 (USD MILLION) 276
TABLE 272 BIG DATA MARKET, BY BUSINESS FUNCTION, 2021–2026 (USD MILLION) 276
15.3.5 BIG DATA MARKET, BY ORGANIZATION SIZE 276
TABLE 273 BIG DATA MARKET, BY ORGANIZATION SIZE, 2016–2020 (USD MILLION) 276
TABLE 274 BIG DATA MARKET, BY ORGANIZATION SIZE, 2021–2026 (USD MILLION) 276
15.3.6 BIG DATA MARKET, BY DEPLOYMENT MODE 277
TABLE 275 BIG DATA MARKET, BY DEPLOYMENT MODE, 2016–2020 (USD MILLION) 277
TABLE 276 BIG DATA MARKET, BY DEPLOYMENT MODE, 2021–2026 (USD MILLION) 277
15.3.7 BIG DATA MARKET, BY VERTICAL 277
TABLE 277 BIG DATA MARKET, BY INDUSTRY VERTICAL, 2016–2020 (USD MILLION) 278
TABLE 278 BIG DATA MARKET, BY INDUSTRY VERTICAL, 2021–2026 (USD MILLION) 278
15.3.8 BIG DATA MARKET, BY REGION 278
TABLE 279 BIG DATA MARKET, BY REGION, 2016–2020 (USD MILLION) 279
TABLE 280 BIG DATA MARKET, BY REGION, 2021–2026 (USD MILLION) 279
16 APPENDIX 280
16.1 DISCUSSION GUIDE 280
16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 285
16.3 CUSTOMIZATION OPTIONS 287
16.4 RELATED REPORTS 287
16.5 AUTHOR DETAILS 288


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